Clean educational anatomical diagram of the lesser omentum for medical students. Show a frontal view of the upper abdomen with the liver lifted up to reveal the lesser omentum stretching between the liver (porta hepatis and fissure for ligamentum venosum) and the stomach (lesser curvature) and first part of duodenum. Label clearly: Lesser Omentum, Hepatogastric ligament (larger part), Hepatoduodenal ligament (free edge/smaller part), Portal vein, Hepatic artery proper, Common bile duct (forming the portal triad in the free edge), Epiploic foramen of Winslow (behind the free edge), Lesser sac (omental bursa) behind it, Liver, Stomach, Duodenum (1st part). Use soft anatomical colors - liver in brown, stomach in pink, omentum as a semi-transparent yellow-green sheet. Add a small inset cross-section of the hepatoduodenal ligament showing the three structures inside it (portal vein posterior, hepatic artery left, CBD right). Simple clean style suitable for a surgical anatomy flashcard.

Clean educational anatomical diagram of the greater omentum for medical students. Frontal view of abdomen showing the greater omentum hanging down like an apron from the greater curvature of the stomach and transverse colon. Label clearly: Greater Omentum (apron-like fold), Gastrocolic ligament (stomach to transverse colon), Gastrosplenic ligament (stomach to spleen), Gastrophrenic ligament (stomach to diaphragm), Greater curvature of stomach, Transverse colon, Spleen, 4 layers of peritoneum. Show it as a semi-transparent yellowish fatty apron hanging in front of the intestines. Add arrows showing the fusion of layers. Include a small inset showing the omental bursa (lesser sac) relationship. Soft anatomical colors, clean surgical anatomy flashcard style suitable for a general surgery resident.

Educational anatomical diagram of the greater omentum. Frontal view showing the greater omentum as a fatty apron hanging from the greater curvature of the stomach down over the intestines. Label: Greater Omentum, Gastrocolic ligament, Gastrosplenic ligament, Gastrophrenic ligament, Greater curvature of stomach, Transverse colon, Spleen. Semi-transparent yellowish apron, soft anatomical colors, clean medical flashcard style.

Educational anatomical diagram of the Epiploic Foramen of Winslow (aditus to lesser sac) for surgery residents. Sagittal or oblique cross-section view showing: Epiploic foramen with its four boundaries - Anterior boundary (hepatoduodenal ligament with portal vein, hepatic artery, CBD), Posterior boundary (inferior vena cava), Superior boundary (caudate lobe of liver), Inferior boundary (first part of duodenum). Show the lesser sac (omental bursa) opening into the greater sac through the foramen. Label all boundaries clearly with arrows. Add a small diagram showing Pringle's manoeuvre - thumb and finger compressing the hepatoduodenal ligament through the foramen. Clean anatomical colors, surgical education style.

Educational anatomical diagram of full peritoneal relations of the upper abdomen for surgery residents. Sagittal cross-section showing: Greater sac, Lesser sac (omental bursa), Lesser omentum, Greater omentum, Stomach, Liver, Pancreas (retroperitoneal), Transverse colon, Transverse mesocolon. Show peritoneal reflections as colored lines. Label: Greater sac, Lesser sac, Epiploic foramen of Winslow (communication between the two sacs), Subphrenic space, Hepatorenal pouch (Morison's pouch). Use color-coded peritoneal layers - blue lines for peritoneum, yellow for omentum, brown for liver, pink for stomach. Clean surgical anatomy style for a general surgery resident.

mkdir -p /tmp/workspace/omentum-pdf && ls /tmp/workspace/omentum-pdf/

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT from io import BytesIO from PIL import Image as PILImage import os # Download images image_urls = { "lesser_omentum": "https://cdn.orris.care/image-gen/2524d78b9be54a9f9e23196e8db19c41.png", "greater_omentum": "https://cdn.orris.care/image-gen/9d33dd5302cb4e5699c41d8c9ffd747d.png", "epiploic_foramen": "https://cdn.orris.care/image-gen/5a48f255251740c8bdbb5a7ad1e43175.png", "peritoneal_relations": "https://cdn.orris.care/image-gen/658d6e0684ff4b85afe5531dbc3bb185.png" } for name, url in image_urls.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"Downloaded {name}.png - {len(r.content)} bytes") print("All images downloaded.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY PAGE_W, PAGE_H = A4 MARGIN = 2 * cm doc = SimpleDocTemplate( "Peritoneum_Omentum_SurgicalAnatomy.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) # ---- Styles ---- styles = getSampleStyleSheet() title_style = ParagraphStyle('Title', parent=styles['Title'], fontSize=22, textColor=colors.HexColor('#1a3c5e'), spaceAfter=6, alignment=TA_CENTER, fontName='Helvetica-Bold') subtitle_style = ParagraphStyle('Subtitle', parent=styles['Normal'], fontSize=11, textColor=colors.HexColor('#4a6fa5'), spaceAfter=12, alignment=TA_CENTER, fontName='Helvetica-Oblique') section_title = ParagraphStyle('SectionTitle', parent=styles['Heading1'], fontSize=15, textColor=colors.white, spaceBefore=16, spaceAfter=8, fontName='Helvetica-Bold', backColor=colors.HexColor('#1a3c5e'), leftIndent=-0.5*cm, rightIndent=-0.5*cm, borderPad=6) subsection_style = ParagraphStyle('SubSection', parent=styles['Heading2'], fontSize=12, textColor=colors.HexColor('#1a3c5e'), spaceBefore=10, spaceAfter=4, fontName='Helvetica-Bold') body_style = ParagraphStyle('Body', parent=styles['Normal'], fontSize=10, leading=15, spaceAfter=6, fontName='Helvetica', textColor=colors.HexColor('#2d2d2d')) bullet_style = ParagraphStyle('Bullet', parent=styles['Normal'], fontSize=10, leading=14, spaceAfter=3, leftIndent=16, fontName='Helvetica', textColor=colors.HexColor('#2d2d2d'), bulletIndent=6) caption_style = ParagraphStyle('Caption', parent=styles['Normal'], fontSize=9, textColor=colors.HexColor('#555555'), alignment=TA_CENTER, fontName='Helvetica-Oblique', spaceAfter=10) highlight_style = ParagraphStyle('Highlight', parent=styles['Normal'], fontSize=10, leading=14, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), spaceAfter=4) IMG_W = PAGE_W - 2*MARGIN def section_header(text): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, ParagraphStyle('SH', parent=styles['Normal'], fontSize=14, textColor=colors.white, fontName='Helvetica-Bold', alignment=TA_LEFT))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND', (0,0), (-1,-1), colors.HexColor('#1a3c5e')), ('TOPPADDING', (0,0), (-1,-1), 8), ('BOTTOMPADDING', (0,0), (-1,-1), 8), ('LEFTPADDING', (0,0), (-1,-1), 12), ('RIGHTPADDING', (0,0), (-1,-1), 12), ])), Spacer(1, 0.3*cm), ] def make_table(headers, rows, col_widths=None): data = [headers] + rows if col_widths is None: col_widths = [IMG_W / len(headers)] * len(headers) t = Table(data, colWidths=col_widths) t.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#2c6fad')), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf2fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aac4de')), ('TOPPADDING', (0,0), (-1,-1), 5), ('BOTTOMPADDING', (0,0), (-1,-1), 5), ('LEFTPADDING', (0,0), (-1,-1), 7), ('RIGHTPADDING', (0,0), (-1,-1), 7), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('ALIGN', (0,0), (-1,0), 'CENTER'), ])) return t # ---- Build content ---- story = [] # Cover header story.append(Spacer(1, 0.5*cm)) story.append(Paragraph("Surgical Anatomy", subtitle_style)) story.append(Paragraph("Peritoneum & Omenta", title_style)) story.append(Paragraph("Lesser Omentum · Greater Omentum · Epiploic Foramen · Peritoneal Relations", subtitle_style)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=12)) story.append(Paragraph("Prepared for: Dr. Vaishnavi | General Surgery Residency", ParagraphStyle('prep', parent=styles['Normal'], fontSize=9, textColor=colors.grey, alignment=TA_CENTER))) story.append(Spacer(1, 0.4*cm)) # ============================================================ # SECTION 1: LESSER OMENTUM # ============================================================ story += section_header("1. Lesser Omentum") story.append(Image("lesser_omentum.png", width=IMG_W, height=IMG_W*0.75)) story.append(Paragraph("Fig 1. Lesser omentum with portal triad and epiploic foramen relationships", caption_style)) story.append(Paragraph("Definition", subsection_style)) story.append(Paragraph( "The lesser omentum is a double layer of peritoneum extending from the porta hepatis and the fissure for the ligamentum venosum of the liver to the lesser curvature of the stomach and the first part of the duodenum.", body_style)) story.append(Paragraph("Two Parts", subsection_style)) story.append(make_table( [Paragraph('Part', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Attachment', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Contents', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white))], [ ['Hepatogastric ligament (larger)', 'Liver → Lesser curvature of stomach', 'Small vessels only'], ['Hepatoduodenal ligament (free edge)', 'Liver → 1st part of duodenum', 'Portal Triad (VAN)'], ], col_widths=[5.5*cm, 6.5*cm, 5*cm] )) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("Portal Triad - Memory Aid: VAN", subsection_style)) story.append(make_table( [Paragraph('Structure', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Position in Ligament', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white))], [ ['Portal Vein (V)', 'Posterior'], ['Hepatic Artery proper (A)', 'Left / Anteromedial'], ['Common Bile Duct (N - "no artery side")', 'Right / Anterolateral'], ], col_widths=[9*cm, 8*cm] )) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("⚡ Surgical Pearl", subsection_style)) story.append(Paragraph( "PRINGLE'S MANOEUVRE: The index finger is passed through the epiploic foramen of Winslow and the hepatoduodenal ligament is compressed between the thumb and index finger to temporarily halt inflow of blood to the liver during hepatic surgery or trauma.", highlight_style)) story.append(PageBreak()) # ============================================================ # SECTION 2: GREATER OMENTUM # ============================================================ story += section_header("2. Greater Omentum") story.append(Image("greater_omentum.png", width=IMG_W, height=IMG_W*0.75)) story.append(Paragraph("Fig 2. Greater omentum hanging as a fatty apron from the greater curvature of the stomach", caption_style)) story.append(Paragraph("Definition", subsection_style)) story.append(Paragraph( "The greater omentum is a large, apron-like fold of peritoneum that hangs down from the greater curvature of the stomach and the proximal part of the duodenum. It consists of four fused layers of peritoneum.", body_style)) story.append(Paragraph("Ligamentous Parts", subsection_style)) story.append(make_table( [Paragraph('Ligament', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('From → To', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Surgical Relevance', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white))], [ ['Gastrocolic', 'Greater curvature → Transverse colon', 'Divided to enter lesser sac'], ['Gastrosplenic', 'Greater curvature → Spleen (hilum)', 'Contains short gastric vessels'], ['Gastrophrenic', 'Greater curvature → Diaphragm', 'Avascular - incised in fundoplication'], ['Splenorenal', 'Spleen → Left kidney', 'Contains splenic vessels & tail of pancreas'], ], col_widths=[4.5*cm, 6.5*cm, 6*cm] )) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("Blood Supply", subsection_style)) for b in ["Right gastroepiploic artery (from gastroduodenal artery)", "Left gastroepiploic artery (from splenic artery)", "Both run along the greater curvature in the gastrocolic ligament"]: story.append(Paragraph(f"• {b}", bullet_style)) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("⚡ Surgical Pearl", subsection_style)) story.append(Paragraph( '"POLICEMAN OF THE ABDOMEN": The greater omentum migrates toward areas of inflammation or infection, walling off perforations (e.g., perforated appendix, peptic ulcer) and limiting peritoneal contamination. In surgery it is used as a flap for reinforcing anastomoses and filling dead spaces.', highlight_style)) story.append(PageBreak()) # ============================================================ # SECTION 3: EPIPLOIC FORAMEN # ============================================================ story += section_header("3. Epiploic Foramen of Winslow (Aditus to Lesser Sac)") story.append(Image("epiploic_foramen.png", width=IMG_W, height=IMG_W*0.75)) story.append(Paragraph("Fig 3. Boundaries of the epiploic foramen and Pringle's manoeuvre", caption_style)) story.append(Paragraph("Overview", subsection_style)) story.append(Paragraph( "The epiploic foramen (foramen of Winslow) is the only natural communication between the greater peritoneal sac and the lesser sac (omental bursa). It lies posterior to the hepatoduodenal ligament at the level of L1.", body_style)) story.append(Paragraph("Boundaries - Memory Aid: ACID", subsection_style)) story.append(make_table( [Paragraph('Boundary', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Structure', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Mnemonic', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white))], [ ['Anterior', 'Hepatoduodenal ligament (portal triad)', 'A - Anterior'], ['Posterior', 'Inferior vena cava (+ right crus of diaphragm)', 'C - Cava'], ['Superior', 'Caudate lobe of liver', 'I - (caudate)'], ['Inferior', 'Duodenum (1st part) + hepatic artery', 'D - Duodenum'], ], col_widths=[3.5*cm, 9*cm, 4.5*cm] )) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("⚡ Surgical Pearls", subsection_style)) for pearl in [ "Pringle's manoeuvre is performed by passing the index finger through the epiploic foramen to compress the hepatoduodenal ligament.", "Internal herniation through the epiploic foramen is rare but can cause small bowel obstruction.", "The lesser sac is accessed surgically through the gastrocolic ligament (most common route) or through the epiploic foramen.", ]: story.append(Paragraph(f"• {pearl}", bullet_style)) story.append(PageBreak()) # ============================================================ # SECTION 4: FULL PERITONEAL RELATIONS # ============================================================ story += section_header("4. Peritoneal Relations of the Upper Abdomen") story.append(Image("peritoneal_relations.png", width=IMG_W, height=IMG_W*0.75)) story.append(Paragraph("Fig 4. Sagittal view of peritoneal spaces and omenta in the upper abdomen", caption_style)) story.append(Paragraph("Key Peritoneal Spaces", subsection_style)) story.append(make_table( [Paragraph('Space', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Location', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)), Paragraph('Clinical Significance', ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white))], [ ["Morison's Pouch\n(Hepatorenal recess)", 'Between liver (right lobe) and right kidney', 'Most dependent space supine - first to fill with blood/fluid on FAST scan'], ['Subphrenic space\n(Right & Left)', 'Between diaphragm and liver/stomach', 'Post-op abscess - presents with hiccups, shoulder tip pain'], ['Lesser Sac\n(Omental Bursa)', 'Posterior to stomach and lesser omentum', 'Pancreatic pseudocysts collect here; accessed via gastrocolic ligament'], ['Pouch of Douglas\n(Rectouterine/Rectovesical)', 'Lowest point of peritoneal cavity', 'Most dependent erect - fluid/pus/tumour deposits here first'], ['Paracolic gutters', 'Lateral to ascending and descending colon', 'Route for spread of infection/malignancy between subphrenic and pelvic spaces'], ], col_widths=[4.5*cm, 5.5*cm, 7*cm] )) story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("Retroperitoneal Structures (SAD PUCKER)", subsection_style)) for item in [ "S - Suprarenal (adrenal) glands", "A - Aorta & IVC", "D - Duodenum (2nd, 3rd, 4th parts)", "P - Pancreas (except tail)", "U - Ureters", "C - Colon (ascending & descending)", "K - Kidneys", "E - Oesophagus", "R - Rectum"]: story.append(Paragraph(f"• {item}", bullet_style)) # Footer line story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery Resident Reference · July 2026", ParagraphStyle('footer', parent=styles['Normal'], fontSize=8, textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4))) # Build doc.build(story) print("PDF created successfully!") EOF

A clean, professional vertical flowchart titled "Surgical Audit Cycle" for medical education. Show the complete audit cycle as connected boxes with arrows flowing downward in a circular loop. Include these steps in order with distinct colored boxes: 1. IDENTIFY THE PROBLEM / TOPIC (blue box) - "Select a surgical topic, complication, or outcome for review" 2. SET STANDARDS / CRITERIA (dark blue box) - "Define best practice standards based on evidence, guidelines (NICE, RCS)" 3. DATA COLLECTION (teal box) - "Collect current practice data - retrospective or prospective" 4. ANALYSE DATA / COMPARE WITH STANDARDS (orange box) - "Compare actual practice vs. set standards. Identify gaps." 5. IMPLEMENT CHANGE (red box) - "Introduce changes: training, protocols, pathways, equipment" 6. RE-AUDIT (green box) - "Repeat data collection to check if standards are now met" 7. CLOSING THE LOOP arrow returning from Re-audit back to step 1 On the right side, add a vertical label "THE AUDIT CYCLE" with a circular arrow icon. At the bottom add a note box: "If standards met → Maintain & monitor | If not met → Repeat cycle" Use professional colors, clean sans-serif font, medical/hospital aesthetic. White background. Clear arrow connectors between each step.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests url = "https://cdn.orris.care/image-gen/46c4db6f4cb748a2950df76aaa9b188b.png" r = requests.get(url, timeout=30) with open("surgical_audit_flowchart.png", "wb") as f: f.write(r.content) print(f"Downloaded flowchart: {len(r.content)} bytes") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY PAGE_W, PAGE_H = A4 MARGIN = 1.8 * cm IMG_W = PAGE_W - 2 * MARGIN doc = SimpleDocTemplate( "Surgical_Audit.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() # Custom styles title_s = ParagraphStyle('T', fontSize=24, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s = ParagraphStyle('ST', fontSize=11, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=14) sec_s = ParagraphStyle('SEC', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white, alignment=TA_LEFT) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) highlight_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=4) caption_s = ParagraphStyle('CAP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=10) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND', (0,0), (-1,-1), colors.HexColor(bg)), ('TOPPADDING', (0,0), (-1,-1), 7), ('BOTTOMPADDING', (0,0), (-1,-1), 7), ('LEFTPADDING', (0,0), (-1,-1), 12), ])), Spacer(1, 0.3*cm), ] def make_table(headers, rows, col_widths=None, header_bg='#2c6fad'): data = [headers] + rows if col_widths is None: col_widths = [IMG_W / len(headers)] * len(headers) t = Table(data, colWidths=col_widths) t.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor(header_bg)), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf2fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.4, colors.HexColor('#aac4de')), ('TOPPADDING', (0,0), (-1,-1), 5), ('BOTTOMPADDING', (0,0), (-1,-1), 5), ('LEFTPADDING', (0,0), (-1,-1), 7), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('ALIGN', (0,0), (-1,0), 'CENTER'), ])) return t def th(text): return Paragraph(text, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) # ===================================================================== story = [] # ----- COVER ----- story.append(Spacer(1, 0.5*cm)) story.append(Paragraph("Surgical Audit", title_s)) story.append(Paragraph("A Complete Reference Guide for Surgical Residents", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=14)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # ===== FLOWCHART IMAGE ===== story.append(Image("surgical_audit_flowchart.png", width=IMG_W, height=IMG_W*1.05)) story.append(Paragraph("Fig 1. The Surgical Audit Cycle - a continuous quality improvement loop", caption_s)) story.append(PageBreak()) # ===== SECTION 1: DEFINITION ===== story += sec_header("1. What is a Surgical Audit?") story.append(Paragraph( "A surgical audit is a systematic, quality improvement process that evaluates whether current surgical practice meets defined standards. It is a cycle - not a one-time event - that drives continuous improvement in patient care, outcomes, and safety.", body_s)) story.append(Paragraph( "Key distinction from Research:", sub_s)) story.append(make_table( [th('Feature'), th('Audit'), th('Research')], [ ['Purpose', 'Measures current practice vs. standards', 'Generates new knowledge'], ['Ethics approval', 'Not usually required', 'Required'], ['Hypothesis', 'No hypothesis tested', 'Tests a hypothesis'], ['Intervention', 'No new treatment given', 'May involve new treatments'], ['Standard', 'Pre-existing standards used', 'No pre-set standard'], ['Outcome', 'Improves local practice', 'Advances science'], ], col_widths=[4*cm, 7.5*cm, 5.5*cm] )) # ===== SECTION 2: THE AUDIT CYCLE STEPS ===== story += sec_header("2. The Surgical Audit Cycle - Step by Step") steps = [ ("Step 1: Identify the Problem / Topic", "#1a6b9a", [ "Choose a clinically relevant topic (e.g., SSI rate, anastomotic leak, DVT prophylaxis compliance)", "Should be: common, measurable, improvable, important to patient safety", "Sources: M&M meetings, patient complaints, national benchmarks, incident reports", ]), ("Step 2: Set Standards / Criteria", "#1a6b9a", [ "Define what SHOULD be happening - the gold standard", "Standards sourced from: NICE guidelines, Royal College of Surgeons (RCS), NCEPOD, hospital protocols, published evidence", "Example: '100% of elective colorectal patients should receive VTE prophylaxis within 12 hours'", ]), ("Step 3: Data Collection", "#1a6b9a", [ "Decide: prospective (going forward) or retrospective (looking back)", "Define: sample size, time period, inclusion/exclusion criteria", "Sources: operation notes, case notes, theatre logs, patient records, HISS/EPR systems", "Ensure data is anonymised and handled per Caldicott principles / GDPR", ]), ("Step 4: Analyse Data - Compare with Standards", "#1a6b9a", [ "Calculate compliance rate: what % of cases met the standard?", "Identify gaps and outliers", "Benchmark against national data if available (e.g., NBOCA, NCEPOD reports)", "Present findings at departmental/M&M meeting", ]), ("Step 5: Implement Change", "#b5451b", [ "Design interventions to bridge the gap", "Changes may include: new protocols/SOP, staff education/training, equipment upgrade, pathway redesign, checklist introduction", "Use PDSA cycle (Plan-Do-Study-Act) for structured implementation", "Nominate a lead responsible for the change", ]), ("Step 6: Re-Audit (Closing the Loop)", "#1a7a4a", [ "Repeat data collection after change has been implemented (usually 3-6 months later)", "Compare new results with the original data and the standard", "CLOSING THE LOOP is the most critical - without re-audit, the cycle is incomplete", "If standards now met: maintain, monitor, disseminate", "If standards still not met: re-analyse, redesign change, repeat cycle", ]), ] for title, color, points in steps: story.append(Table([[Paragraph(title, ParagraphStyle('st', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND', (0,0), (-1,-1), colors.HexColor(color)), ('TOPPADDING', (0,0), (-1,-1), 5), ('BOTTOMPADDING', (0,0), (-1,-1), 5), ('LEFTPADDING', (0,0), (-1,-1), 10), ]))) for pt in points: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Spacer(1, 0.2*cm)) story.append(PageBreak()) # ===== SECTION 3: TYPES OF AUDIT ===== story += sec_header("3. Types of Surgical Audit") story.append(make_table( [th('Type'), th('Description'), th('Example')], [ ['Structure audit', 'Are the right resources available?', 'Is a dedicated HDU available post-op?'], ['Process audit', 'Are correct procedures being followed?', 'VTE prophylaxis prescribed on admission?'], ['Outcome audit', 'What are the results of care?', '30-day mortality, SSI rate, readmission rate'], ['National audit', 'Multi-centre benchmarking', 'NBOCA, TARN, NCEPOD, NELA'], ['Criterion-based audit', 'Specific criteria checked', 'WHO Surgical Safety Checklist compliance'], ], col_widths=[4.5*cm, 7*cm, 5.5*cm] )) # ===== SECTION 4: KEY NATIONAL AUDITS ===== story += sec_header("4. Key National Surgical Audits (UK)") story.append(make_table( [th('Audit'), th('Full Name'), th('Focus Area')], [ ['NCEPOD', 'National Confidential Enquiry into Patient Outcome and Death', 'Peri-operative deaths, quality of care'], ['NELA', 'National Emergency Laparotomy Audit', 'Emergency laparotomy outcomes'], ['NBOCA', 'National Bowel Cancer Audit', 'Colorectal cancer outcomes'], ['TARN', 'Trauma Audit and Research Network', 'Trauma care outcomes'], ['NJR', 'National Joint Registry', 'Arthroplasty outcomes'], ['BAUS', 'British Association of Urological Surgeons', 'Urological procedures'], ['AUGIS', 'Association of Upper GI Surgeons', 'Oesophago-gastric cancer surgery'], ], col_widths=[2.5*cm, 8*cm, 6.5*cm] )) # ===== SECTION 5: AUDIT vs QI ===== story += sec_header("5. Audit vs. Quality Improvement (QI)") story.append(make_table( [th('Aspect'), th('Clinical Audit'), th('Quality Improvement (QI)')], [ ['Approach', 'Measures against fixed standards', 'Tests and iterates changes using PDSA'], ['Flexibility', 'Rigid criteria', 'Adaptive and iterative'], ['Timeline', 'Point-in-time measurement', 'Continuous ongoing improvement'], ['Method', 'Retrospective / prospective data', 'Real-time small tests of change'], ['Output', 'Report + recommendations', 'Sustained change in practice'], ], col_widths=[4*cm, 7*cm, 6*cm] )) # ===== SECTION 6: SURGICAL PEARLS ===== story += sec_header("6. Key Points for Surgical Exams & Viva") pearls = [ "Audit is NOT research - no ethics needed, no new treatment, no hypothesis", "CLOSING THE LOOP (re-audit) is the most commonly forgotten step in viva answers - always mention it", "Standards must be evidence-based (NICE, RCS guidelines) - not arbitrary", "NCEPOD is the most important UK national confidential enquiry - know its key reports", "NELA specifically audits emergency laparotomy - high-risk procedure with 10-15% mortality", "The PDSA cycle is used within the 'Implement Change' step for iterative QI", "Caldicott principles and GDPR govern data handling in audit", "Audit results must be presented to the team and disseminated - not just filed away", "WHO Surgical Safety Checklist compliance is a common process audit topic", ] for p in pearls: story.append(Paragraph(f"• {p}", bullet_s)) # Footer story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery Resident Reference · July 2026", footer_s)) doc.build(story) print("Surgical Audit PDF created successfully!") EOF

Detailed clean surgical anatomy diagram of tracheostomy for medical education. Sagittal and frontal neck cross-section showing: Thyroid cartilage (labeled), Cricoid cartilage (labeled), Tracheal rings 1-4 (numbered), Tracheostomy tube inserted between rings 2-3 (highlighted with red circle labeled "Standard tracheostomy site"), Thyroid gland isthmus overlying rings 2-4, Cricothyroid membrane (labeled and marked), Cricothyrotomy site (marked separately above). Inset showing components of a tracheostomy tube: outer cannula, inner cannula, cuff, pilot balloon, 15mm connector, flange. Also label: pretracheal fascia, strap muscles, skin incision site. Use anatomical colors - cartilage in blue-grey, trachea in light pink, thyroid in brown, tube in white. Clean surgical education style, medical school level diagram.

Professional medical flowchart titled "Indications and Types of Tracheostomy" for surgical residents. Two main branches flowing down from top: LEFT BRANCH - "INDICATIONS" (blue header): - Box 1: Upper Airway Obstruction (blue) → Foreign body, Tumour, Trauma, Bilateral vocal cord palsy, Angioedema - Box 2: Prolonged Mechanical Ventilation (teal) → ICU patients >7-10 days, Weaning facilitation, Neurological injury - Box 3: Airway Protection (orange) → Bulbar palsy, Head and neck surgery, Unconscious patient, Aspiration risk - Box 4: Pulmonary Toilet (green) → Retained secretions, Ineffective cough, Chest trauma RIGHT BRANCH - "TYPES" (dark blue header): - Surgical Tracheostomy (blue box) → Open procedure, Theatre, Elective/Emergency - Percutaneous Dilatational Tracheostomy (PDT) (teal box) → ICU bedside, Seldinger technique, Adults only - Cricothyroidotomy (red box) → EMERGENCY ONLY, Cannot intubate cannot oxygenate (CICO), Temporary Bottom: Decision diamond "EMERGENCY or ELECTIVE?" → arrows to each type. Clean professional flowchart style, white background, color coded boxes.

Professional medical flowchart titled "Tracheostomy Complications & Management" for surgical residents. Organized in a timeline format with three columns: COLUMN 1 - IMMEDIATE (0-24 hrs) - red header: - Haemorrhage → Apply pressure, return to theatre - Surgical emphysema → Check tube position, CXR - Pneumothorax → CXR, chest drain if needed - Tube malposition/false passage → Reinsert under direct vision - Apnoea → Re-intubate orally, call help COLUMN 2 - EARLY (1-7 days) - orange header: - Tube displacement → Reinsert (difficult before tract formed) - Wound infection → Swabs, antibiotics - Tube blockage → Inner cannula cleaning, suction - Dysphagia → SALT assessment - Aspiration → Head positioning, cuff management COLUMN 3 - LATE (>7 days) - green header: - Tracheal stenosis → Bronchoscopy, dilation, resection - Tracheomalacia → Stenting - Tracheo-innominate fistula → EMERGENCY, finger compression, surgery - Persistent tracheocutaneous fistula → Surgical closure - Subglottic stenosis → ENT/thoracic referral Bottom box: "BLOCKED/DISPLACED TUBE ALGORITHM" with steps: Call for help → Remove inner cannula → Pass suction catheter → If patent: suction & reassure → If not patent: deflate cuff → attempt oral intubation → emergency surgical airway. Clean professional style, white background.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests imgs = { "trach_anatomy": "https://cdn.orris.care/image-gen/711032c5c5b5458e8212049cf5046d28.png", "trach_indications": "https://cdn.orris.care/image-gen/09207010e8a84cf583c6477a9473437e.png", "trach_complications": "https://cdn.orris.care/image-gen/aa9cb8ecfbeb43deba5c0dcf31dfa3f9.png", } for name, url in imgs.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"{name}: {len(r.content)} bytes") print("Done.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT PAGE_W, PAGE_H = A4 MARGIN = 1.8 * cm IMG_W = PAGE_W - 2 * MARGIN doc = SimpleDocTemplate( "Tracheostomy_Complete_Guide.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=24, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=11, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=12) sec_s = ParagraphStyle('SE', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white, alignment=TA_LEFT) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=4) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),7),('BOTTOMPADDING',(0,0),(-1,-1),7), ('LEFTPADDING',(0,0),(-1,-1),12), ])), Spacer(1, 0.25*cm), ] def th(t): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) def make_table(headers, rows, col_widths=None, hbg='#2c6fad'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTNAME',(0,0),(-1,0),'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.4,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def step_box(text, bg): return Table([[Paragraph(text, ParagraphStyle('sb', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),10), ])) # ===================================================================== story = [] # COVER story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("Tracheostomy", title_s)) story.append(Paragraph("Surgical Anatomy · Indications · Procedure · Complications · Management", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=10)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # PAGE 1 - ANATOMY story += sec_header("1. Surgical Anatomy of Tracheostomy") story.append(Image("trach_anatomy.png", width=IMG_W, height=IMG_W*0.85)) story.append(Paragraph("Fig 1. Neck anatomy relevant to tracheostomy - surface landmarks, tracheal rings, tube components", caption_s)) story.append(Paragraph("Key Anatomical Landmarks", sub_s)) story.append(make_table( [th('Structure'), th('Relevance to Tracheostomy')], [ ['Thyroid cartilage', 'Superior landmark - palpate the notch first to orient'], ['Cricoid cartilage', 'Single complete ring - inferior boundary of larynx; avoid incising'], ['Cricothyroid membrane', 'Site of cricothyroidotomy (emergency only); 2-3 cm below thyroid notch'], ['Tracheal rings 2-3', 'Standard tracheostomy site - between 2nd and 3rd tracheal rings'], ['Thyroid isthmus', 'Overlies rings 2-4; must be retracted or divided during open tracheostomy'], ['Innominate artery', 'Crosses trachea at ring 9; avoid low tracheostomies - risk of TIF'], ['Pretracheal fascia', 'Must be divided to expose trachea; layer between strap muscles and trachea'], ], col_widths=[5*cm, 12*cm] )) story.append(Paragraph("Tracheostomy Tube Components", sub_s)) story.append(make_table( [th('Component'), th('Function')], [ ['Outer cannula', 'Main tube - maintains the stoma tract open'], ['Inner cannula', 'Removable - cleaned/replaced to prevent blockage from secretions'], ['Cuff', 'Inflatable - seals airway, prevents aspiration; monitor pressure (20-25 cmH2O)'], ['Pilot balloon', 'Indicates cuff inflation status'], ['15mm connector', 'Universal - connects to ventilator circuits and resuscitation bag'], ['Flange/plate', 'Rests against neck, secured with ties or sutures to prevent displacement'], ], col_widths=[5*cm, 12*cm] )) story.append(PageBreak()) # PAGE 2 - INDICATIONS FLOWCHART story += sec_header("2. Indications & Types of Tracheostomy") story.append(Image("trach_indications.png", width=IMG_W, height=IMG_W*0.9)) story.append(Paragraph("Fig 2. Indications and types of tracheostomy - decision flowchart", caption_s)) story.append(Paragraph("Indications - 4 Categories", sub_s)) story.append(make_table( [th('Category'), th('Clinical Scenarios'), th('Examples')], [ ['Upper Airway Obstruction', 'Cannot secure airway above', 'Tumour, trauma, angioedema, bilateral VCP, foreign body'], ['Prolonged Ventilation', 'ICU patients on ventilator >7-10 days', 'ARDS, polytrauma, neurological injury, post-cardiac arrest'], ['Airway Protection', 'High aspiration risk or swallowing dysfunction', 'Bulbar palsy, head & neck surgery, unconscious patient'], ['Pulmonary Toilet', 'Excessive secretions, ineffective cough', 'Chest trauma, COPD exacerbation, neuromuscular disease'], ], col_widths=[4.5*cm, 5.5*cm, 7*cm] )) story.append(Paragraph("Types of Tracheostomy", sub_s)) story.append(make_table( [th('Type'), th('Technique'), th('Setting'), th('Key Notes')], [ ['Surgical (open)', 'Direct incision, trachea opened under vision', 'Theatre - elective or emergency', 'Gold standard; any age; neck anatomy can be modified'], ['Percutaneous Dilatational (PDT)', 'Seldinger wire + serial dilation; bronchoscope guided', 'ICU bedside', 'Adults only; avoid if anatomy difficult; coagulopathy is relative CI'], ['Cricothyroidotomy', 'Incision through cricothyroid membrane', 'Emergency (CICO scenario)', 'Temporary airway only; convert to formal tracheostomy within 24-72h'], ['Mini-tracheostomy', '4mm tube through CTM', 'ICU/ward - secretion management only', 'NOT for ventilation; only for suctioning secretions'], ], col_widths=[3.5*cm, 4.5*cm, 3.5*cm, 5.5*cm] )) story.append(Spacer(1,0.3*cm)) story.append(Paragraph("Advantages of Tracheostomy over Prolonged Endotracheal Intubation", sub_s)) for adv in [ "Reduced dead space → improved ventilation efficiency", "Better patient comfort - less sedation needed", "Allows oral feeding and speech (with speaking valve e.g. Passy-Muir)", "Easier tracheal suctioning and pulmonary toilet", "Facilitates weaning from ventilator", "Reduced laryngeal damage compared to prolonged ETT", ]: story.append(Paragraph(f"• {adv}", bullet_s)) story.append(PageBreak()) # PAGE 3 - PROCEDURE story += sec_header("3. Surgical Tracheostomy - Step-by-Step Procedure") steps = [ ("PREP", "#34495e", "Position: supine, shoulder roll, neck extended. GA + ETT in situ. Prep and drape neck."), ("INCISION", "#2c6fad", "Horizontal skin incision 2 cm below cricoid cartilage (approx. 2 finger-breadths). Length ~3-4 cm."), ("DISSECTION", "#2c6fad", "Divide platysma. Separate strap muscles in midline (linea alba). Retract laterally."), ("THYROID ISTHMUS", "#e67e22", "Identify thyroid isthmus overlying trachea. Retract superiorly OR divide between clamps and ligate."), ("TRACHEA IDENTIFICATION", "#2c6fad", "Palpate tracheal rings. Confirm position with needle aspiration of air (syringe + saline)."), ("TRACHEAL INCISION", "#c0392b", "Make incision between rings 2-3. Options: vertical midline incision / Bjork flap (inferiorly-based) / excise anterior window. Stay sutures placed either side."), ("TUBE INSERTION", "#1a7a4a", "Anaesthetist withdraws ETT to just above incision. Insert tracheostomy tube. Inflate cuff. Confirm ETCO2 + bilateral air entry."), ("SECURE TUBE", "#1a7a4a", "Suture flange to skin. Apply neck ties. CXR to confirm position and exclude pneumothorax."), ] for step, bg, desc in steps: story.append(step_box(f" {step}", bg)) story.append(Paragraph(desc, bullet_s)) story.append(Spacer(1, 0.1*cm)) story.append(Spacer(1, 0.2*cm)) story.append(Paragraph("⚡ Surgical Pearl", sub_s)) story.append(Paragraph( "Stay sutures (placed either side of the tracheal incision) are CRITICAL in the first 72 hours - if the tube falls out before the tract is mature, pull the stay sutures apart to re-expose the trachea for reinsertion. Label them 'LEFT' and 'RIGHT' clearly on the dressing.", hl_s)) story.append(PageBreak()) # PAGE 4 - COMPLICATIONS story += sec_header("4. Complications Flowchart & Management") story.append(Image("trach_complications.png", width=IMG_W, height=IMG_W*0.95)) story.append(Paragraph("Fig 3. Tracheostomy complications timeline and emergency management algorithm", caption_s)) story.append(Paragraph("Complications Summary Table", sub_s)) story.append(make_table( [th('Timing'), th('Complication'), th('Management')], [ ['Immediate\n(0-24h)', 'Haemorrhage', 'Pressure, return to theatre, ligate bleeder'], ['Immediate', 'Surgical emphysema', 'CXR, check tube position, usually self-limiting'], ['Immediate', 'Pneumothorax', 'CXR, needle decompression / chest drain'], ['Immediate', 'Tube malposition/false passage', 'Re-intubate orally, resite under vision'], ['Early\n(1-7 days)', 'Tube displacement', 'Use stay sutures to reopen, reinsert; if tract not formed - intubate orally'], ['Early', 'Tube blockage', 'Remove/clean inner cannula, suction, humidification'], ['Early', 'Wound infection', 'Wound swab, antibiotics, regular cleaning'], ['Late\n(>7 days)', 'Tracheal stenosis', 'Bronchoscopy, balloon dilation, tracheal resection'], ['Late', 'Tracheomalacia', 'Stenting, surgical repair'], ['Late - EMERGENCY', 'Tracheo-Innominate Fistula (TIF)', 'Overinflate cuff, digital pressure through stoma, emergency surgery - HIGH MORTALITY'], ['Late', 'Persistent tracheo-cutaneous fistula', 'Surgical closure after decannulation'], ], col_widths=[2.5*cm, 5*cm, 9.5*cm] )) # PAGE 5 - DECANNULATION + PEARLS story.append(PageBreak()) story += sec_header("5. Decannulation & Speaking Valve") story.append(Paragraph("Criteria for Decannulation", sub_s)) for c in [ "Patient is awake, cooperative and able to protect airway", "No further need for mechanical ventilation", "Able to manage secretions - effective cough", "Cuff deflation tolerated without desaturation", "Successful speaking valve (Passy-Muir) trial", "Passed SALT swallow assessment", "Can tolerate tube downsizing (stepped decannulation)", ]: story.append(Paragraph(f"• {c}", bullet_s)) story.append(Paragraph("Decannulation Steps", sub_s)) dsteps = [ ("1", "Downsize tube gradually (e.g. size 8 → 7 → 6)"), ("2", "Trial cuff deflation - monitor SpO2, RR, secretion management"), ("3", "Speaking valve trial (Passy-Muir) - one-way valve allows speech"), ("4", "Tube fenestration - allows airflow through glottis"), ("5", "Cap/plug the tube - patient breathing entirely around tube"), ("6", "Remove tube - cover stoma with occlusive dressing (closes in days)"), ] for num, desc in dsteps: story.append(Paragraph(f" Step {num}: {desc}", bullet_s)) story += sec_header("6. Key Viva & Exam Points", bg='#b5451b') for pearl in [ "Standard tracheostomy site: between tracheal rings 2 and 3", "Cricothyroidotomy = EMERGENCY only; always convert to formal tracheostomy within 24-72 hours", "PDT is done at the bedside in ICU; NOT in children or difficult anatomy", "Tracheo-Innominate Fistula = rare, late, LIFE-THREATENING haemorrhage; first step is overinflate cuff + digital pressure", "Stay sutures must be labelled and kept in situ for first 72 hours minimum", "Cuff pressure must be maintained at 20-25 cmH2O - too high causes ischaemia/stenosis, too low allows aspiration", "Humidification of inspired air is mandatory - the nose is bypassed, so natural humidification is lost", "Speaking valve (Passy-Muir) can only be used with cuff DEFLATED", "Closing the loop in tracheostomy audit: 30-day mortality, decannulation rates, complication rates", ]: story.append(Paragraph(f"• {pearl}", bullet_s)) # Footer story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery Resident Reference · July 2026", footer_s)) doc.build(story) print("Tracheostomy PDF created successfully!") EOF

Clean detailed surgical anatomy diagram of the biliary system for medical education. Show the extrahepatic biliary tree with all labeled structures: Right hepatic duct, Left hepatic duct, Common hepatic duct (CHD), Cystic duct with spiral valves of Heister, Common bile duct (CBD) - with its 4 parts labeled (supraduodenal, retroduodenal, pancreatic, intraduodenal), Gallbladder (fundus, body, neck, Hartmann's pouch), Ampulla of Vater, Sphincter of Oddi, Pancreatic duct (duct of Wirsung), Portal vein behind, Hepatic artery. Highlight in RED the common sites of post-operative biliary leak with red stars: 1. Cystic duct stump, 2. CBD injury, 3. Duct of Luschka (subvesical duct), 4. Hepatic duct anastomosis. Add a small inset showing the Triangle of Calot labeled: cystic artery, cystic duct, common hepatic duct boundaries. Anatomical colors - bile ducts in yellow-green, liver brown, gallbladder green, vessels red/blue. Clean surgical education style.

Professional medical flowchart titled "Management of Post-Operative Biliary Leak" for surgical residents. Vertical decision flowchart: TOP: "POST-OP BILIARY LEAK SUSPECTED" (red header box) STEP 1 - DIAGNOSIS (blue box): - Drain fluid bilirubin >3x serum bilirubin OR clinical bile leak - Bloods: LFTs, bilirubin, CRP, WCC - Imaging: USS abdomen → CT abdomen with contrast - MRCP if CBD injury suspected STEP 2 - CLASSIFY (orange box - STRASBERG CLASSIFICATION): - Grade A: Leak from cystic duct stump or duct of Luschka (minor, peripheral) → ERCP + stent - Grade B/C: Occlusion/leak from aberrant duct → ERCP / PTC - Grade D: Lateral CBD injury → ERCP stent - Grade E (E1-E5): Complete CBD transection (Bismuth) → Hepaticojejunostomy STEP 3 - HAEMODYNAMICALLY STABLE? (diamond decision box): - YES → Conservative + ERCP pathway - NO → Emergency resuscitation → ICU → IR/Surgery STEP 4A - STABLE PATHWAY (green boxes): - Control biliary drainage (existing drain or IR-guided drain) - ERCP → sphincterotomy + biliary stent (7-10 French, 7-10cm) - Re-assess at 6-8 weeks - If leak sealed → remove stent - If failed → Repeat ERCP / PTC / Surgery STEP 4B - UNSTABLE/MAJOR INJURY (red boxes): - Emergency laparotomy - Hepaticojejunostomy (Roux-en-Y) - Refer to hepatobiliary centre BOTTOM: "MULTIDISCIPLINARY TEAM: HPB Surgeon + Gastroenterologist + Interventional Radiologist" Clean professional flowchart, color-coded decision boxes, arrows connecting all steps.

Professional medical diagram showing the Strasberg Classification of Bile Duct Injuries for surgical education. Show a schematic of the biliary tree repeated 6 times in a grid, each showing a different grade: Grade A: Small leak from cystic duct stump or duct of Luschka - red leak mark at cystic duct, ducts otherwise intact Grade B: Occlusion of aberrant right hepatic duct - clip across aberrant duct, no communication Grade C: Leak from aberrant right hepatic duct - not in continuity with CBD Grade D: Lateral injury to CBD - partial laceration of CBD shown in red Grade E1: CBD transection >2cm from hepatic confluence Grade E2: CBD transection <2cm from hepatic confluence Grade E3: Transection at hepatic confluence Grade E4: Separation of right and left hepatic ducts Grade E5: Injury to right sectoral duct + CBD Each grade clearly labeled. Show repair method below each: A/D = ERCP stent, B/C = ERCP or PTC, E1-E5 = Hepaticojejunostomy. Color code: yellow = bile duct, red = injury site, blue = clips. Professional surgical education style, clean white background.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests imgs = { "biliary_anatomy": "https://cdn.orris.care/image-gen/5376bed75dea4a8f96da52b2e25b9ccc.png", "biliary_flowchart": "https://cdn.orris.care/image-gen/5b94328509754e3593de703b6416b37e.png", "strasberg": "https://cdn.orris.care/image-gen/3caf49b2abcd4e7db6877f228c445263.png", } for name, url in imgs.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"{name}: {len(r.content)} bytes") print("Done.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "PostOp_Biliary_Leak_Management.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=22, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=12) sec_s = ParagraphStyle('SE', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=4) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) warn_s = ParagraphStyle('W', fontSize=9, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b0000'), backColor=colors.HexColor('#fff3f3'), leftIndent=8, leading=14, spaceAfter=4) def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),7),('BOTTOMPADDING',(0,0),(-1,-1),7), ('LEFTPADDING',(0,0),(-1,-1),12), ])), Spacer(1, 0.25*cm), ] def th(t): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) def make_table(headers, rows, col_widths=None, hbg='#2c6fad'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTNAME',(0,0),(-1,0),'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.4,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def step_box(text, bg): return Table([[Paragraph(text, ParagraphStyle('sb', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),10), ])) # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("Post-Operative Biliary Leak", title_s)) story.append(Paragraph("Diagnosis · Classification (Strasberg) · Management Flowchart · ERCP · Surgical Options", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=10)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # ===== SECTION 1: ANATOMY ===== story += sec_header("1. Biliary Anatomy & Sites of Post-Op Leak") story.append(Image("biliary_anatomy.png", width=IMG_W, height=IMG_W*0.85)) story.append(Paragraph("Fig 1. Extrahepatic biliary anatomy with common post-operative bile leak sites (red stars) and Triangle of Calot", caption_s)) story.append(Paragraph("Common Sources of Post-Op Biliary Leak", sub_s)) story.append(make_table( [th('Source'), th('Operation'), th('Frequency'), th('Strasberg Grade')], [ ['Cystic duct stump', 'Cholecystectomy (lap/open)', 'Most common (~50%)', 'A'], ['Duct of Luschka (subvesical duct)', 'Cholecystectomy', 'Common - often missed', 'A'], ['CBD lateral injury', 'Cholecystectomy / CBD exploration', 'Less common', 'D'], ['CBD transection / ligation', 'Cholecystectomy (major injury)', 'Rare but serious', 'E1-E5'], ['Hepatic duct anastomosis', 'Liver resection / transplant / Whipple', 'Depends on procedure', 'Varies'], ['Cut liver surface', 'Liver resection', 'Common after major hepatectomy', 'A-equivalent'], ], col_widths=[4.5*cm, 4.5*cm, 3.5*cm, 3.5*cm] )) story.append(Spacer(1,0.3*cm)) story.append(Paragraph("Definition of Biliary Leak", sub_s)) story.append(Paragraph( "Post-operative biliary leak is defined as drain fluid bilirubin concentration >3 times the serum bilirubin concentration on or after post-operative day 3, OR as bilious drainage requiring clinical intervention. (International Study Group of Liver Surgery - ISGLS definition)", body_s)) story.append(PageBreak()) # ===== SECTION 2: MANAGEMENT FLOWCHART ===== story += sec_header("2. Management Flowchart") story.append(Image("biliary_flowchart.png", width=IMG_W, height=IMG_W*1.0)) story.append(Paragraph("Fig 2. Step-by-step management algorithm for post-operative biliary leak", caption_s)) # ===== SECTION 3: DIAGNOSIS ===== story += sec_header("3. Diagnosis - Clinical Features & Investigations") story.append(Paragraph("Clinical Presentation", sub_s)) story.append(make_table( [th('Timing'), th('Features')], [ ['Early (1-3 days)', 'Bilious drain output, RUQ pain, fever, tachycardia, ileus'], ['Delayed (4-7 days)', 'Biloma (collection), jaundice if CBD obstructed, peritonitis if undrained'], ['Late (>1 week)', 'Sepsis, cholangitis, liver abscess, pleural effusion'], ], col_widths=[4*cm, 13*cm] )) story.append(Paragraph("Investigations - Stepwise Approach", sub_s)) inv_steps = [ ("BLOODS", "#34495e", [ "FBC - WCC raised (infection/peritonitis)", "LFTs + bilirubin - elevated bilirubin, ALP, GGT suggest biliary obstruction", "CRP, procalcitonin - sepsis markers", "Coagulation, U&E, cross-match", ]), ("DRAIN FLUID ANALYSIS", "#2c6fad", [ "Drain fluid bilirubin: if >3x serum bilirubin = bile leak confirmed", "Culture drain fluid if infection suspected", "Drain fluid amylase to exclude pancreatic fistula (post-Whipple)", ]), ("IMAGING", "#1a7a4a", [ "USS abdomen: Free fluid/biloma, CBD dilation, liver collections", "CT abdomen + contrast: Define anatomy, locate collection, assess for CBD injury", "MRCP: Non-invasive - best for defining biliary anatomy and site of leak", "HIDA scan (hepatobiliary scintigraphy): Dynamic - shows active bile leak, localizes site", "ERCP: Diagnostic AND therapeutic - gold standard for Grade A/D injuries", "PTC (Percutaneous Transhepatic Cholangiogram): If ERCP not possible, proximal injuries", ]), ] for title, bg, pts in inv_steps: story.append(step_box(f" {title}", bg)) for pt in pts: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Spacer(1, 0.15*cm)) story.append(PageBreak()) # ===== SECTION 4: STRASBERG CLASSIFICATION ===== story += sec_header("4. Strasberg Classification of Bile Duct Injuries") story.append(Image("strasberg.png", width=IMG_W, height=IMG_W*0.85)) story.append(Paragraph("Fig 3. Strasberg classification (Grades A-E) of biliary injuries with corresponding management", caption_s)) story.append(make_table( [th('Grade'), th('Injury'), th('Description'), th('Treatment')], [ ['A', 'Minor leak', 'Cystic duct stump OR duct of Luschka (subvesical duct) - in continuity with CBD', 'ERCP + biliary stent ± sphincterotomy'], ['B', 'Occlusion', 'Occlusion of aberrant right hepatic duct - NOT in continuity', 'ERCP / PTC; may need hepatectomy'], ['C', 'Leak', 'Leak from aberrant right duct - NOT in continuity with CBD', 'ERCP / PTC / hepatico-jejunostomy'], ['D', 'Lateral CBD', 'Lateral laceration of CBD - in continuity', 'ERCP + stent (small); surgical repair (large)'], ['E1', 'Transection', 'CBD transected >2cm from hepatic confluence', 'Hepatico-jejunostomy (Roux-en-Y)'], ['E2', 'Transection', 'CBD transected <2cm from hepatic confluence', 'Hepatico-jejunostomy'], ['E3', 'Confluence', 'At the hepatic confluence', 'Complex HPB reconstruction'], ['E4', 'Separation', 'Right and left hepatic ducts separated', 'Complex HPB reconstruction'], ['E5', 'Combined', 'Right sectoral duct + CBD', 'Complex HPB reconstruction'], ], col_widths=[1.5*cm, 3*cm, 7*cm, 5.5*cm] )) story.append(Spacer(1, 0.2*cm)) story.append(Paragraph("⚡ Key: Grade A = most common (cystic duct stump/Luschka) → ERCP fixes most. Grade E = major injury → refer to HPB centre.", hl_s)) story.append(PageBreak()) # ===== SECTION 5: MANAGEMENT IN DETAIL ===== story += sec_header("5. Detailed Management by Approach") story.append(Paragraph("A. Conservative Management", sub_s)) for pt in [ "Suitable for: well-controlled, contained leaks with adequate drainage in situ", "Keep existing drain in place - ensure adequate drainage of biloma", "NBM or clear fluids, IV fluids, analgesia", "IV antibiotics if signs of sepsis (Tazocin / Meropenem)", "Monitor: daily drain output, LFTs, bilirubin, clinical status", "Many Grade A leaks resolve with drainage alone within 1-2 weeks", ]: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Paragraph("B. Interventional Radiology (IR)", sub_s)) for pt in [ "Indications: Undrained biloma / bile collection not amenable to existing drain", "USS or CT-guided percutaneous drainage of biloma", "PTC (percutaneous transhepatic cholangiography) if ERCP failed or proximal injury", "PTC allows: diagnosis, external biliary drainage, balloon dilation, stenting", ]: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Paragraph("C. ERCP - First-Line Intervention for Grade A & D", sub_s)) story.append(make_table( [th('Step'), th('Action'), th('Purpose')], [ ['1', 'ERCP + cholangiogram', 'Identifies site of leak, extent of injury'], ['2', 'Sphincterotomy', 'Reduces sphincter pressure, promotes bile flow into duodenum'], ['3', 'Biliary stent insertion (7-10Fr, 7-10cm)', 'Bridges the leak, seals low-pressure defect'], ['4', 'Nasobiliary drain (if needed)', 'External drainage + monitoring of output'], ['5', 'Review at 6-8 weeks', 'Repeat ERCP to confirm healing'], ['6', 'Stent removal', 'Once leak confirmed sealed on cholangiogram'], ], col_widths=[1.5*cm, 6*cm, 9.5*cm] )) story.append(Paragraph("Success rate of ERCP for Grade A: >90%. For Grade D (lateral CBD): 70-80%.", body_s)) story.append(Paragraph("D. Surgical Management (Grade E / Failed ERCP)", sub_s)) for pt in [ "Indication: Major CBD injury (Strasberg E), failed ERCP/IR, peritonitis, haemodynamic instability", "REFER TO HPB CENTRE - do not attempt repair in a non-specialist centre", "Definitive repair: Roux-en-Y Hepatico-Jejunostomy (HJ)", "Timing: Immediate repair (if identified intra-op) OR delayed repair at 6-8 weeks (after inflammation settles)", "If immediate: primary duct-to-duct repair over T-tube (only if ends not devascularised)", "Outcomes: Best results at experienced HPB centres; delayed repair generally superior", ]: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Spacer(1,0.2*cm)) story.append(Paragraph("WARNING: Never attempt a primary repair of a major CBD injury in a district general hospital without HPB expertise. Transfer the patient.", warn_s)) story.append(PageBreak()) # ===== SECTION 6: SEVERITY GRADING (ISGLS) ===== story += sec_header("6. ISGLS Severity Grading of Bile Leak") story.append(make_table( [th('Grade'), th('Definition'), th('Management')], [ ['Grade A', 'Leak requiring no change in management or only minor adjustment', 'Conservative - continue drain, monitor'], ['Grade B', 'Leak requiring active therapeutic intervention (ERCP, IR drain, antibiotics) but no re-operation', 'ERCP + stent / IR drainage'], ['Grade C', 'Leak requiring re-laparotomy', 'Surgical intervention - HPB referral'], ], col_widths=[2*cm, 9*cm, 6*cm] )) # ===== SECTION 7: VIVA PEARLS ===== story += sec_header("7. Viva & Exam Key Points", bg='#b5451b') for pearl in [ "Definition: Drain bilirubin >3x serum bilirubin on or after POD 3 (ISGLS definition)", "Most common cause: cystic duct stump leak or duct of Luschka (both = Strasberg A)", "Duct of Luschka = small accessory duct draining directly from right lobe into gallbladder fossa - easily missed at cholecystectomy", "ERCP + sphincterotomy + stent = first-line for Grade A and D - success rate >90% for Grade A", "Grade E injuries = refer to HPB centre - do NOT attempt repair at DGH", "Hepatico-jejunostomy (Roux-en-Y) = definitive repair for Grade E injuries", "MRCP = best non-invasive imaging to define biliary anatomy before intervention", "HIDA scan = best for demonstrating ACTIVE bile leak and localising site", "Bile peritonitis = surgical emergency - if diffuse peritonitis: laparotomy + washout + drainage", "Triangle of Calot dissection: always obtain Critical View of Safety (CVS) before clipping to prevent CBD injury", "IOC (intraoperative cholangiogram) reduces risk of missed CBD injuries at cholecystectomy", ]: story.append(Paragraph(f"• {pearl}", bullet_s)) # Footer story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery Resident Reference · July 2026", footer_s)) doc.build(story) print("Biliary Leak PDF created successfully!") EOF

Clean educational medical diagram titled "Types of Genetic Testing in Cancer" for surgical oncology residents. Show a central hub labeled "GENETIC TESTING IN CANCER" with 4 branches radiating outward, each as a colored box: BRANCH 1 (blue) - GERMLINE TESTING: DNA from blood/saliva, inherited mutations, hereditary cancer syndromes, BRCA1/2, Lynch syndrome genes (MLH1, MSH2, MSH6, PMS2), APC, TP53, RET. "Identifies inherited risk - test patient AND family" BRANCH 2 (green) - SOMATIC/TUMOUR TESTING: DNA from tumour biopsy, acquired mutations in tumour only, not inherited. KRAS, BRAF, EGFR, HER2, PIK3CA. "Guides targeted therapy selection" BRANCH 3 (orange) - LIQUID BIOPSY: ctDNA from blood, circulating tumour DNA, minimal invasion, monitoring response, early relapse detection. "Blood test that detects tumour DNA" BRANCH 4 (purple) - PREDICTIVE BIOMARKER TESTING: MMR/MSI testing, PD-L1, TMB (tumour mutational burden), HER2 IHC/FISH. "Predicts response to immunotherapy/targeted therapy" Bottom panel: "SPECIMEN TYPES" showing: Blood tube (germline), FFPE tumour block (somatic), Blood tube (liquid biopsy). Clean anatomical education style, white background, professional medical illustration.

Professional vertical decision flowchart titled "Clinical Pathway for Genetic Testing in Cancer" for oncology/surgery residents. TOP: "CANCER DIAGNOSIS / FAMILY HISTORY OF CANCER" (dark blue header) STEP 1 - RISK ASSESSMENT (blue box): - Personal history of cancer <50 years - Multiple primary cancers - Bilateral or multifocal cancer - Family history: 2+ first-degree relatives with cancer - Specific tumour features (e.g. triple-negative breast, MSI-high CRC) - Ethnicity (Ashkenazi Jewish - BRCA) DIAMOND: "HIGH RISK FEATURES PRESENT?" YES → Step 2 | NO → "Routine population screening" STEP 2 - GENETIC COUNSELLING (teal box): - Pre-test counselling - Informed consent - Discuss: implications for patient AND family - Discuss: insurance/psychosocial implications STEP 3 - GERMLINE TESTING (orange box): - Blood/saliva sample - Multi-gene panel (NGS) - tests 20-80 genes - Result time: 2-4 weeks - Variants: Pathogenic / Likely Pathogenic / VUS / Benign DIAMOND: "PATHOGENIC VARIANT FOUND?" YES → Cascade testing + Risk management NO → "Consider somatic testing if cancer present" STEP 4A - POSITIVE RESULT (red box): - Cascade testing of at-risk family members - Enhanced surveillance protocols - Risk-reducing surgery (e.g. prophylactic mastectomy, salpingo-oophorectomy) - Chemoprevention (tamoxifen/raloxifene) - Targeted therapy eligibility (PARP inhibitors for BRCA) STEP 4B - SOMATIC TUMOUR TESTING (green box): - FFPE tumour biopsy or liquid biopsy - NGS panel / immunohistochemistry - MMR/MSI testing, KRAS, BRAF, HER2, EGFR - Guides: targeted therapy, immunotherapy eligibility BOTTOM: "MDT DISCUSSION - Oncology + Genetics + Surgery + Radiology" Clean professional flowchart, color-coded boxes, decision diamonds, connecting arrows.

Educational medical diagram showing "Major Hereditary Cancer Syndromes" for surgical oncology. A clean table-style illustrated diagram with 6 syndrome panels arranged in a 2x3 grid, each panel color-coded: Panel 1 (red) - HEREDITARY BREAST/OVARIAN CANCER (HBOC): Gene: BRCA1 / BRCA2 Cancers: Breast, Ovarian, Pancreatic, Prostate Lifetime risk: Breast 70%, Ovarian 40-45% (BRCA1) Management: Enhanced MRI screening, prophylactic mastectomy/BSO, PARP inhibitors Panel 2 (blue) - LYNCH SYNDROME (HNPCC): Genes: MLH1, MSH2, MSH6, PMS2, EPCAM Cancers: Colorectal, Endometrial, Ovarian, Gastric, Urological Testing: MSI/MMR IHC on tumour first (Amsterdam criteria) Management: Annual colonoscopy, prophylactic hysterectomy, immunotherapy (pembrolizumab) Panel 3 (green) - FAMILIAL ADENOMATOUS POLYPOSIS (FAP): Gene: APC (chromosome 5q) Cancers: Colorectal (near 100%), Duodenal, Desmoid tumours, Thyroid Feature: 100s-1000s of colonic polyps Management: Prophylactic colectomy by age 25, annual flexible sigmoidoscopy from age 10-12 Panel 4 (orange) - MEN SYNDROMES: MEN1: Parathyroid + Pituitary + Pancreas (3Ps) - gene MEN1 MEN2A: MTC + Phaeochromocytoma + Hyperparathyroidism - gene RET MEN2B: MTC + Phaeochro + Marfanoid habitus - gene RET Management: Prophylactic thyroidectomy in MEN2 Panel 5 (purple) - LI-FRAUMENI SYNDROME: Gene: TP53 Cancers: Sarcoma, Breast (early), Brain, Adrenal, Leukaemia Feature: Early onset, multiple primaries Management: Whole-body MRI surveillance (ASCO protocol) Panel 6 (teal) - PEUTZ-JEGHERS SYNDROME: Gene: STK11/LKB1 Features: GI hamartomatous polyps + mucocutaneous pigmentation (lips/fingers) Cancers: Colorectal, Gastric, Pancreatic, Breast, Ovarian Management: Regular endoscopy/colonoscopy from age 8 Clean medical education style, white background, each panel clearly bordered and labeled.

Educational diagram titled "Types of Genetic Testing in Cancer" for oncology residents. Four colored boxes arranged in a 2x2 grid with a central title. Box 1 blue: GERMLINE TESTING - blood or saliva, inherited mutations, BRCA1 BRCA2 Lynch syndrome APC TP53 RET, identifies hereditary cancer risk, test patient and family. Box 2 green: SOMATIC TUMOUR TESTING - from tumour biopsy FFPE, acquired mutations, KRAS BRAF EGFR HER2, guides targeted therapy. Box 3 orange: LIQUID BIOPSY - circulating tumour DNA ctDNA from blood, minimally invasive, monitors treatment response and detects relapse. Box 4 purple: PREDICTIVE BIOMARKER TESTING - MSI MMR testing, PD-L1, TMB, HER2 IHC FISH, predicts immunotherapy and targeted therapy response. Bottom row shows specimen types: blood tube, tumour block, blood tube. Clean medical education style white background.

Vertical clinical decision flowchart titled "Genetic Testing Pathway in Cancer" for surgical oncology. Step 1 dark blue box: Cancer diagnosis or strong family history. Arrow down to diamond: High risk features present? - early onset cancer under 50, multiple primaries, bilateral cancer, 3 or more relatives affected, specific tumour features MSI-high triple negative breast. YES arrow to Step 2 teal box: Genetic counselling - pre-test discussion, informed consent, implications for family. NO arrow right to: Routine surveillance. Arrow down from Step 2 to Step 3 orange box: Germline testing - blood sample, multi-gene NGS panel, result in 2-4 weeks. Arrow down to diamond: Pathogenic variant found? YES arrow to Step 4A red box: Positive result management - cascade family testing, enhanced surveillance, risk-reducing surgery, chemoprevention, targeted therapy PARP inhibitors. NO arrow to Step 4B green box: Somatic tumour testing - FFPE biopsy or liquid biopsy, NGS panel, IHC MSI MMR KRAS BRAF HER2, guides targeted therapy and immunotherapy. Bottom box navy: MDT discussion - Oncology Genetics Surgery Radiology. Clean flowchart style, color coded boxes, white background.

Medical education diagram showing six hereditary cancer syndromes in a clean 2 column 3 row grid. Each syndrome in a clearly bordered color coded panel. Panel 1 red: HBOC - Hereditary Breast Ovarian Cancer. Genes BRCA1 BRCA2. Cancers: breast 70 percent lifetime risk, ovarian 40 percent, pancreatic, prostate. Management: MRI surveillance, prophylactic mastectomy, salpingo-oophorectomy, PARP inhibitors olaparib. Panel 2 blue: LYNCH SYNDROME HNPCC. Genes MLH1 MSH2 MSH6 PMS2. Cancers: colorectal, endometrial, ovarian, gastric. Testing: MSI and MMR IHC on tumour. Management: annual colonoscopy, prophylactic hysterectomy, pembrolizumab immunotherapy. Panel 3 green: FAP Familial Adenomatous Polyposis. Gene APC chromosome 5q. Hundreds to thousands of colorectal polyps. Near 100 percent CRC risk. Management: prophylactic colectomy by age 25. Panel 4 orange: MEN Syndromes. MEN1: parathyroid pituitary pancreas gene MEN1. MEN2A: medullary thyroid cancer phaeochromocytoma hyperparathyroidism gene RET. Management: prophylactic thyroidectomy in MEN2. Panel 5 purple: LI-FRAUMENI SYNDROME. Gene TP53. Cancers: sarcoma, early breast, brain, adrenal. Multiple primaries early onset. Whole body MRI surveillance. Panel 6 teal: PEUTZ-JEGHERS SYNDROME. Gene STK11. GI hamartomatous polyps, lip pigmentation. Cancers: colorectal, gastric, pancreatic, breast. Regular endoscopy from age 8. White background clean medical style clearly labeled.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests imgs = { "genetic_types": "https://cdn.orris.care/image-gen/f6855601b30141d0b826d528f1d4f1f8.png", "genetic_flowchart": "https://cdn.orris.care/image-gen/479521edaedb4d9991e0c18399da2eff.png", "hereditary_syndromes": "https://cdn.orris.care/image-gen/4fe45d4337c64e489aa965c21fdead22.png", } for name, url in imgs.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"{name}: {len(r.content)} bytes") print("All downloaded.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "Genetic_Testing_in_Cancer.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=22, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=12) sec_s = ParagraphStyle('SE', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=4) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) note_s = ParagraphStyle('N', fontSize=9, fontName='Helvetica', textColor=colors.HexColor('#2c5f2e'), backColor=colors.HexColor('#f0fff4'), leftIndent=8, leading=13, spaceAfter=4) def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),7),('BOTTOMPADDING',(0,0),(-1,-1),7), ('LEFTPADDING',(0,0),(-1,-1),12), ])), Spacer(1, 0.25*cm), ] def th(t): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) def make_table(headers, rows, col_widths=None, hbg='#2c6fad'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTNAME',(0,0),(-1,0),'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.4,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def step_box(text, bg): return Table([[Paragraph(text, ParagraphStyle('sb', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),10), ])) # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("Genetic Testing in Cancer", title_s)) story.append(Paragraph("Types · Clinical Pathway · Hereditary Syndromes · Targeted Therapy · Surgical Implications", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=10)) story.append(Paragraph("Dr. Vaishnavi | General Surgery / Surgical Oncology | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # ===== SECTION 1: TYPES ===== story += sec_header("1. Types of Genetic Testing in Cancer") story.append(Image("genetic_types.png", width=IMG_W, height=IMG_W*0.78)) story.append(Paragraph("Fig 1. Four main categories of genetic testing used in oncology", caption_s)) story.append(make_table( [th('Type'), th('Sample'), th('Detects'), th('Key Genes/Markers'), th('Clinical Use')], [ ['Germline testing', 'Blood / saliva', 'Inherited (constitutional) mutations', 'BRCA1/2, MLH1, MSH2, MSH6, PMS2, APC, TP53, RET, PALB2', 'Hereditary cancer risk, family screening'], ['Somatic tumour testing', 'FFPE biopsy / fresh tumour', 'Acquired mutations in tumour only - not inherited', 'KRAS, BRAF V600E, EGFR, HER2, PIK3CA, ALK, ROS1', 'Targeted therapy selection'], ['Liquid biopsy', 'Blood (ctDNA)', 'Circulating tumour DNA / CTC', 'Same as somatic panel', 'Monitoring response, detecting MRD, relapse'], ['Predictive biomarker testing', 'Tumour tissue', 'Functional markers for treatment response', 'MSI/MMR, PD-L1, TMB, HER2 IHC/FISH', 'Immunotherapy & targeted therapy eligibility'], ], col_widths=[3*cm, 2.5*cm, 4*cm, 4.5*cm, 3*cm] )) story.append(PageBreak()) # ===== SECTION 2: FLOWCHART ===== story += sec_header("2. Clinical Pathway for Genetic Testing") story.append(Image("genetic_flowchart.png", width=IMG_W, height=IMG_W*0.95)) story.append(Paragraph("Fig 2. Decision flowchart for genetic testing referral, germline testing and result management", caption_s)) story.append(Paragraph("Indications for Genetic Referral", sub_s)) story.append(make_table( [th('Feature'), th('Examples')], [ ['Early age of onset', 'Cancer diagnosed <50 years (breast, CRC, endometrial)'], ['Multiple primary tumours', 'Bilateral breast cancer, synchronous CRC + endometrial cancer'], ['Specific tumour biology', 'Triple-negative breast cancer, MSI-high / dMMR colorectal cancer'], ['Family history', '2+ first-degree relatives with cancer; 3+ relatives same cancer type'], ['Male breast cancer', 'Any male with breast cancer - high BRCA2 probability'], ['Ethnicity', 'Ashkenazi Jewish ancestry - higher BRCA1/2 founder mutations'], ['Rare tumour type', 'Medullary thyroid cancer (RET/MEN2), pheochromocytoma (SDHB/VHL)'], ['Tumour testing result', 'dMMR / MSI-high on somatic testing → germline Lynch syndrome testing'], ], col_widths=[5*cm, 12*cm] )) story.append(Paragraph("Variant Classification (Pathogenicity Grading)", sub_s)) story.append(make_table( [th('Class'), th('Description'), th('Clinical Action')], [ ['Pathogenic (P)', 'Proven to cause disease - definite mutation', 'Act: surveillance, risk-reducing surgery, cascade testing'], ['Likely Pathogenic (LP)', 'Strong evidence of pathogenicity (>90%)', 'Treat as pathogenic in clinical practice'], ['Variant of Uncertain Significance (VUS)', 'Insufficient evidence to classify', 'Do NOT act clinically; re-classify over time'], ['Likely Benign (LB)', 'Strong evidence benign', 'Reassure; no action'], ['Benign (B)', 'Proven benign polymorphism', 'No action required'], ], col_widths=[3.5*cm, 7*cm, 6.5*cm] )) story.append(PageBreak()) # ===== SECTION 3: HEREDITARY SYNDROMES ===== story += sec_header("3. Major Hereditary Cancer Syndromes") story.append(Image("hereditary_syndromes.png", width=IMG_W, height=IMG_W*0.85)) story.append(Paragraph("Fig 3. Six major hereditary cancer syndromes - genes, cancers, and management", caption_s)) story.append(make_table( [th('Syndrome'), th('Gene(s)'), th('Associated Cancers'), th('Lifetime Risk'), th('Surgical Management')], [ ['HBOC', 'BRCA1, BRCA2, PALB2', 'Breast, Ovarian, Pancreatic, Prostate', 'Breast 70% (BRCA1), Ovarian 40%', 'Prophylactic mastectomy + BSO; PARP inhibitors'], ['Lynch Syndrome\n(HNPCC)', 'MLH1, MSH2, MSH6, PMS2, EPCAM', 'CRC, Endometrial, Ovarian, Gastric, Urothelial', 'CRC 70%, Endometrial 40-60%', 'Annual colonoscopy; prophylactic hysterectomy/BSO in females done with colorectal surgery'], ['FAP', 'APC (5q21)', 'Colorectal (near 100%), Duodenal, Desmoid', 'CRC ~100% if untreated', 'Prophylactic colectomy by age 20-25; sigmoidoscopy from age 10-12'], ['MEN1', 'MEN1', 'Parathyroid, Pituitary, Pancreatic NET', 'High penetrance', 'Parathyroidectomy; distal pancreatectomy for insulinoma'], ['MEN2A/2B', 'RET proto-oncogene', 'Medullary thyroid cancer, Phaeochromocytoma, Hyperparathyroidism', 'MTC near 100%', 'Prophylactic thyroidectomy in childhood (age based on mutation)'], ['Li-Fraumeni', 'TP53', 'Sarcoma, Breast, Brain, Adrenal, Leukaemia', 'Lifetime cancer risk >90%', 'Whole-body MRI surveillance annually; avoid radiotherapy if possible'], ['Peutz-Jeghers', 'STK11/LKB1', 'CRC, Gastric, Pancreatic, Breast, Ovarian', 'CRC 39%, Pancreatic 11-36%', 'Regular OGD + colonoscopy from age 8; polypectomy'], ['MUTYH-associated\nPolyposis (MAP)', 'MUTYH (biallelic)', 'Colorectal, Duodenal', 'CRC 80% (biallelic)', 'Similar to attenuated FAP; prophylactic colectomy'], ], col_widths=[3*cm, 3.5*cm, 4.5*cm, 3*cm, 3*cm] )) story.append(PageBreak()) # ===== SECTION 4: SOMATIC TESTING & TARGETED THERAPY ===== story += sec_header("4. Somatic Testing & Targeted Therapy - Surgical Oncology Focus") story.append(make_table( [th('Cancer Type'), th('Key Gene / Marker'), th('Test Method'), th('Targeted Drug')], [ ['Colorectal cancer', 'KRAS / NRAS / BRAF V600E', 'NGS / PCR', 'Anti-EGFR (cetuximab/panitumumab) ONLY if KRAS wild-type; BRAF: encorafenib'], ['Colorectal cancer', 'MSI-high / dMMR', 'IHC (4 MMR proteins) + PCR', 'Pembrolizumab (immunotherapy - 1st line mCRC)'], ['Breast cancer', 'HER2 amplification', 'IHC + FISH', 'Trastuzumab, pertuzumab, T-DM1'], ['Breast cancer', 'BRCA1/2 (germline)', 'Blood NGS', 'Olaparib / talazoparib (PARP inhibitors)'], ['Gastric / GEJ cancer', 'HER2 amplification', 'IHC + FISH', 'Trastuzumab + chemotherapy'], ['GIST', 'KIT (exon 11/9), PDGFRA', 'NGS', 'Imatinib (1st line); sunitinib (2nd line)'], ['Pancreatic cancer', 'BRCA1/2, PALB2', 'Germline NGS', 'Olaparib maintenance after platinum chemo'], ['Medullary thyroid', 'RET mutation', 'NGS (somatic + germline)', 'Selpercatinib / cabozantinib'], ['NSCLC (lung)', 'EGFR, ALK, ROS1, BRAF', 'NGS', 'Osimertinib, crizotinib (targeted)'], ], col_widths=[3.5*cm, 4*cm, 3*cm, 6.5*cm] )) story.append(Paragraph("MSI / MMR Testing - Surgical Importance", sub_s)) for pt in [ "ALL colorectal cancers should undergo MMR/MSI testing (universal testing recommended)", "dMMR / MSI-high = Lynch syndrome until proven otherwise → refer for germline testing", "MSI-high CRC: better prognosis stage II (no benefit from 5-FU adjuvant), excellent response to immunotherapy", "MSI testing by IHC: 4 proteins - MLH1, MSH2, MSH6, PMS2; loss of any = dMMR", "MMR IHC is cheap, fast, available in all labs - do it on every CRC specimen", ]: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(PageBreak()) # ===== SECTION 5: GENETIC COUNSELLING ===== story += sec_header("5. Genetic Counselling - Key Principles") story.append(make_table( [th('Stage'), th('What Happens'), th('Key Points')], [ ['Pre-test', 'Discuss purpose, limitations, implications', 'Voluntary, informed consent, psychosocial support, insurance implications'], ['Testing', 'Sample collected, lab analysis (NGS)', 'Multi-gene panel - 2-4 weeks; simultaneous analysis of 20-80 genes'], ['Result disclosure', 'Genetic counsellor explains result', 'Pathogenic/LP/VUS/Benign; personalised risk calculation'], ['Post-test (positive)', 'Cascade testing plan, surveillance, prevention', 'Family letters, at-risk relatives offered testing, surgical options discussed'], ['Post-test (negative)', 'Reassurance but context matters', 'BRCA negative does not mean zero risk; population risk remains'], ['VUS follow-up', 'Reclassification over time', 'Databases updated; variant may be reclassified - keep patient on register'], ], col_widths=[3*cm, 6*cm, 8*cm] )) story.append(Paragraph("Cascade Testing", sub_s)) story.append(Paragraph( "When a pathogenic variant is identified in a proband (the first affected family member), all first-degree relatives (parents, siblings, children) have a 50% chance of carrying the same variant. Cascade testing means systematically offering genetic testing to these at-risk relatives. It is one of the most cost-effective interventions in cancer prevention.", body_s)) # ===== SECTION 6: VIVA PEARLS ===== story += sec_header("6. Key Viva & Exam Points", bg='#b5451b') pearls = [ "Germline = inherited = in every cell of the body (tested from blood/saliva). Somatic = acquired = in tumour only", "VUS (Variant of Uncertain Significance) = DO NOT act on clinically; do not offer risk-reducing surgery for a VUS", "Lynch syndrome screening: ALL colorectal and endometrial cancers should have universal MMR/MSI IHC testing", "KRAS mutation = contraindication to anti-EGFR therapy (cetuximab/panitumumab) in colorectal cancer", "BRCA1/2 germline mutation = eligibility for PARP inhibitors (olaparib) in breast, ovarian, pancreatic, prostate", "Prophylactic thyroidectomy in MEN2: timing based on RET mutation codon - highest risk (codon 918/MEN2B) = within 6 months of birth", "FAP: 100% lifetime CRC risk if untreated → prophylactic colectomy mandatory by age 25; sigmoidoscopy from age 10-12", "dMMR / MSI-high CRC: stage II does NOT benefit from adjuvant 5-FU; immunotherapy (pembrolizumab) highly effective in metastatic disease", "Li-Fraumeni (TP53): avoid radiotherapy where possible - increases second malignancy risk; whole-body MRI surveillance annually", "Liquid biopsy (ctDNA): useful for monitoring treatment response, detecting minimal residual disease, and early relapse - cannot replace tissue biopsy for initial diagnosis", "Cascade testing of first-degree relatives is one of the most cost-effective cancer prevention strategies", ] for p in pearls: story.append(Paragraph(f"• {p}", bullet_s)) # Footer story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery / Surgical Oncology Reference · July 2026", footer_s)) doc.build(story) print("PDF created successfully!") EOF

Professional medical education diagram titled "WHO Surgical Safety Checklist - Overview" showing three phases horizontally arranged with a timeline arrow. Phase 1 blue box: SIGN IN - Before induction of anaesthesia - checklist items: patient identity confirmed, site marked, anaesthesia machine and medication check, pulse oximeter, known allergy, difficult airway or aspiration risk, risk of blood loss greater than 500ml. Phase 2 orange box: TIME OUT - Before skin incision - all team members introduce themselves, patient name procedure and site confirmed, antibiotic prophylaxis given, anticipated critical events discussed by surgeon anaesthetist and nurse, essential imaging displayed. Phase 3 green box: SIGN OUT - Before patient leaves operating room - procedure recorded, instrument swab and needle count correct, specimen labelled, equipment problems addressed, key concerns for recovery. Below the three phases: WHO logo and text "Safe Surgery Saves Lives - Introduced 2008". Bottom strip showing team members involved: Surgeon, Anaesthetist, Scrub Nurse, Circulating Nurse. Clean professional surgical safety checklist style, white background, bold clear typography.

Detailed checklist diagram for the SIGN IN phase of the WHO Surgical Safety Checklist. Blue themed professional layout. Title at top: "SIGN IN - Before Induction of Anaesthesia". Show a vertical checklist with large checkboxes for each item grouped into sections. Section 1 - PATIENT IDENTITY: checkbox - Has patient confirmed identity, site, procedure and consent? Yes or No. Section 2 - SITE MARKING: checkbox - Is site marked? Yes or Not applicable. Section 3 - ANAESTHESIA SAFETY CHECK: checkbox - Is the anaesthesia machine and medication check complete? Yes or No. Section 4 - PULSE OXIMETER: checkbox - Is the pulse oximeter on the patient and functioning? Yes or No. Section 5 - ALLERGIES: checkbox - Does the patient have a known allergy? No or Yes - what is it? Section 6 - DIFFICULT AIRWAY OR ASPIRATION RISK: checkbox - Is there a difficult airway or aspiration risk? No or Yes - is equipment and assistance available? Section 7 - RISK OF SIGNIFICANT BLOOD LOSS: checkbox - Is there risk of blood loss greater than 500ml in adults or 7ml per kg in children? No or Yes - are IV access and fluids planned? Bottom label: Conducted by Anaesthetist. Professional clean checkbox style with blue color scheme, white background, large clear readable text.

Two-panel detailed checklist diagram split vertically. Left panel orange: TIME OUT - Before Skin Incision. Checklist items with checkboxes: 1. All team members have introduced themselves by name and role - Yes. 2. Surgeon anaesthetist and nurse verbally confirm patient name procedure and site - Yes. 3. Anticipated critical events - Surgeon states critical steps duration blood loss special equipment. Anaesthetist states patient specific concerns. Nursing team confirms sterility equipment issues concerns. 4. Has antibiotic prophylaxis been given within last 60 minutes? Yes or Not applicable. 5. Is essential imaging displayed? Yes or Not applicable. Bottom label: Conducted by Surgeon - ALL TEAM MEMBERS PAUSE. Right panel green: SIGN OUT - Before Patient Leaves Operating Room. Checklist items with checkboxes: 1. Nurse verbally confirms: name of procedure recorded - Yes. 2. Instrument swab and needle counts are correct or not applicable - Yes or Not applicable. 3. How the specimen is labelled including patient name - Yes or Not applicable. 4. Whether there are any equipment problems to be addressed - Yes or None. 5. Surgeon anaesthetist and nurse review key concerns for recovery and management of this patient - Yes. Bottom label: Conducted by Scrub Nurse. Professional clean checkbox style, orange and green color scheme, white background, clear readable text.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests imgs = { "ssc_overview": "https://cdn.orris.care/image-gen/c3922c94ecee412a99b3cf4a933bdae4.png", "ssc_signin": "https://cdn.orris.care/image-gen/67e70694f73e49489bd9c3b903d3977d.png", "ssc_timeout_signout": "https://cdn.orris.care/image-gen/36f7222a41914bbabdb838d146da9f85.png", } for name, url in imgs.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"{name}: {len(r.content)} bytes") print("All downloaded.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "Surgical_Safety_Checklist.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=22, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=12) sec_s = ParagraphStyle('SE', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=5) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) # Phase colour boxes BLUE = '#1a6b9a' ORANGE = '#d35400' GREEN = '#1a7a4a' RED = '#b5451b' def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),7),('BOTTOMPADDING',(0,0),(-1,-1),7), ('LEFTPADDING',(0,0),(-1,-1),12), ])), Spacer(1, 0.25*cm), ] def th(t): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) def make_table(headers, rows, col_widths=None, hbg='#2c6fad'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTNAME',(0,0),(-1,0),'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.4,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def phase_box(title, bg, items): """Render a phase block with title bar and bullet items.""" out = [] out.append(Table([[Paragraph(title, ParagraphStyle('pb', fontName='Helvetica-Bold', fontSize=11, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),6),('BOTTOMPADDING',(0,0),(-1,-1),6), ('LEFTPADDING',(0,0),(-1,-1),10), ]))) for item in items: out.append(Paragraph(f" \u2610 {item}", bullet_s)) out.append(Spacer(1, 0.2*cm)) return out def cb(text, checked=True): """Checkbox bullet.""" mark = "\u2611" if checked else "\u2610" return Paragraph(f" {mark} {text}", bullet_s) # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("WHO Surgical Safety Checklist", title_s)) story.append(Paragraph("Safe Surgery Saves Lives | Sign In · Time Out · Sign Out | Introduced 2008", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#2c6fad'), spaceAfter=10)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # ===== SECTION 1: OVERVIEW ===== story += sec_header("1. Overview - The Three Phases") story.append(Image("ssc_overview.png", width=IMG_W, height=IMG_W*0.65)) story.append(Paragraph("Fig 1. WHO Surgical Safety Checklist - three phases and timeline of implementation in the operating theatre", caption_s)) story.append(Paragraph("Background & Evidence", sub_s)) story.append(Paragraph( "The WHO Surgical Safety Checklist was introduced in 2008 as part of the 'Safe Surgery Saves Lives' campaign. It was validated in a landmark study across 8 hospitals in 8 countries (Haynes et al., NEJM 2009) which demonstrated a 36% reduction in major complications and a 47% reduction in mortality following implementation. It is now mandatory in NHS operating theatres and adopted in over 150 countries.", body_s)) story.append(Paragraph("Three Phases - Summary", sub_s)) story.append(make_table( [th('Phase'), th('Timing'), th('Who Leads'), th('Key Purpose')], [ ['SIGN IN', 'Before induction of anaesthesia', 'Anaesthetist', 'Patient identity, airway safety, anaesthesia checks'], ['TIME OUT', 'Before skin incision', 'Surgeon (whole team pauses)', 'Team briefing, site/procedure confirmation, antibiotic check'], ['SIGN OUT', 'Before patient leaves theatre', 'Scrub/Circulating Nurse', 'Count confirmation, specimen labelling, recovery plan'], ], col_widths=[3*cm, 5.5*cm, 4*cm, 4.5*cm] )) story.append(PageBreak()) # ===== SECTION 2: SIGN IN ===== story += sec_header("2. SIGN IN - Before Induction of Anaesthesia", bg=BLUE) story.append(Image("ssc_signin.png", width=IMG_W, height=IMG_W*0.85)) story.append(Paragraph("Fig 2. SIGN IN checklist - conducted by anaesthetist before anaesthesia is induced", caption_s)) story.append(Paragraph("Complete Checklist Items", sub_s)) signin_items = [ ("Patient Identity & Consent", ["Has patient confirmed their identity, site, procedure and consent? YES / NO", "Check: wristband, verbal confirmation (if conscious), consent form signed and present"]), ("Surgical Site Marking", ["Is the surgical site marked? YES / NOT APPLICABLE", "Marking done by operating surgeon pre-operatively; indelible pen; visible after draping", "Not applicable: midline, single structure (e.g. appendix), mucosal procedures"]), ("Anaesthesia Safety Check", ["Is the anaesthesia machine and medication check complete? YES / NO", "Includes: machine self-test, breathing circuit, suction, emergency drugs, monitoring"]), ("Pulse Oximeter", ["Is the pulse oximeter on the patient and functioning? YES / NO", "Must be applied and reading confirmed BEFORE induction - not after"]), ("Known Allergy", ["Does the patient have a known allergy? NO / YES - what is it?", "Allergy band checked; anaphylaxis kit available; anaesthetic agents adjusted"]), ("Difficult Airway / Aspiration Risk", ["Is there a difficult airway or aspiration risk? NO / YES - is equipment available?", "If YES: difficult airway trolley in theatre, RSI planned, help available", "Mallampati score, mouth opening, neck mobility documented pre-op"]), ("Risk of Blood Loss >500ml", ["Is there risk of blood loss >500ml (>7ml/kg in children)? NO / YES - are IV access and fluids planned?", "If YES: 2 large-bore IV cannulae, blood cross-matched, cell saver available, HDU/ITU booked"]), ] for title, pts in signin_items: story.append(Paragraph(f" \u2610 {title}", ParagraphStyle('ci', fontName='Helvetica-Bold', fontSize=10, textColor=colors.HexColor('#1a6b9a'), leftIndent=5, spaceAfter=2))) for pt in pts: story.append(Paragraph(f" - {pt}", ParagraphStyle('ci2', fontName='Helvetica', fontSize=9, textColor=colors.HexColor('#2d2d2d'), leftIndent=20, spaceAfter=2, leading=13))) story.append(Spacer(1, 0.1*cm)) story.append(PageBreak()) # ===== SECTION 3: TIME OUT ===== story += sec_header("3. TIME OUT - Before Skin Incision", bg=ORANGE) story.append(Image("ssc_timeout_signout.png", width=IMG_W, height=IMG_W*0.75)) story.append(Paragraph("Fig 3. TIME OUT (left) and SIGN OUT (right) detailed checklists", caption_s)) story.append(Paragraph("Complete TIME OUT Checklist Items", sub_s)) timeout_items = [ ("Team Introductions", ["All team members introduce themselves by name and role", "Reason: promotes psychological safety, communication, early reporting of concerns"]), ("Patient, Procedure & Site Confirmation", ["Surgeon, anaesthetist and nurse verbally confirm: patient name, procedure, operative site", "Site confirmed against: consent form, imaging, site mark", "NEVER rely on one source alone - three-way verbal confirmation"]), ("Antibiotic Prophylaxis", ["Has antibiotic prophylaxis been given within the last 60 minutes? YES / NOT APPLICABLE", "Most common: co-amoxiclav 1.2g IV or cefuroxime 1.5g IV at induction", "If not given: document reason and whether delayed administration planned"]), ("Surgeon States Anticipated Critical Events", ["What are the critical steps in this operation?", "Expected duration of surgery", "Anticipated blood loss", "Any special equipment or implant requirements"]), ("Anaesthetist States Patient Concerns", ["Any patient-specific concerns for anaesthesia or airway", "Known allergies, co-morbidities, drug interactions"]), ("Nursing Team States Concerns", ["Has sterility been confirmed? Any equipment concerns?", "Correct instruments and swabs available? Implants checked?"]), ("Essential Imaging Displayed", ["Is essential imaging displayed? YES / NOT APPLICABLE", "Relevant CT/MRI/X-rays on screen and visible to surgeon before incision"]), ] for title, pts in timeout_items: story.append(Paragraph(f" \u2610 {title}", ParagraphStyle('ci', fontName='Helvetica-Bold', fontSize=10, textColor=colors.HexColor('#d35400'), leftIndent=5, spaceAfter=2))) for pt in pts: story.append(Paragraph(f" - {pt}", ParagraphStyle('ci2', fontName='Helvetica', fontSize=9, textColor=colors.HexColor('#2d2d2d'), leftIndent=20, spaceAfter=2, leading=13))) story.append(Spacer(1, 0.1*cm)) story.append(PageBreak()) # ===== SECTION 4: SIGN OUT ===== story += sec_header("4. SIGN OUT - Before Patient Leaves Operating Room", bg=GREEN) story.append(Paragraph("Complete SIGN OUT Checklist Items", sub_s)) signout_items = [ ("Procedure Recorded", ["Nurse verbally confirms: name of procedure recorded in operative notes", "Operative note started or completed before patient leaves theatre"]), ("Instrument, Swab & Needle Count", ["Instrument, swab and needle counts are correct? YES / NOT APPLICABLE", "If count incorrect: do NOT close; re-explore; request X-ray if needed", "Retained swabs/instruments = never event; serious incident reporting required"]), ("Specimen Labelling", ["How is the specimen labelled? - checked YES / NOT APPLICABLE", "Specimen label: patient name, DOB, hospital number, site, date, surgeon", "Request form completed with clinical details and fixative confirmed"]), ("Equipment Problems", ["Were there any equipment problems to be addressed? YES / NONE", "Log in theatre equipment book; report to biomedical engineering if needed"]), ("Key Concerns for Recovery", ["Surgeon, anaesthetist and nurse review key concerns for recovery and management", "Includes: IV access, analgesia plan, fluid balance, post-op destination (ward/HDU/ITU)", "Nursing handover to recovery nurse completed verbally"]), ] for title, pts in signout_items: story.append(Paragraph(f" \u2610 {title}", ParagraphStyle('ci', fontName='Helvetica-Bold', fontSize=10, textColor=colors.HexColor('#1a7a4a'), leftIndent=5, spaceAfter=2))) for pt in pts: story.append(Paragraph(f" - {pt}", ParagraphStyle('ci2', fontName='Helvetica', fontSize=9, textColor=colors.HexColor('#2d2d2d'), leftIndent=20, spaceAfter=2, leading=13))) story.append(Spacer(1, 0.1*cm)) story.append(PageBreak()) # ===== SECTION 5: EVIDENCE & IMPACT ===== story += sec_header("5. Evidence Base & Impact") story.append(Paragraph("Key Evidence", sub_s)) story.append(make_table( [th('Study / Source'), th('Finding')], [ ['Haynes et al., NEJM 2009\n(WHO pilot study)', '8 hospitals, 8 countries: 36% reduction in major complications, 47% reduction in mortality after SSC implementation'], ['NPSA / NHS England data', 'Compliance with SSC associated with significant reduction in wrong-site surgery and retained swabs (never events)'], ['Safe Surgery 2015 (UK)', 'Hospitals with high SSC compliance showed lower 30-day mortality and surgical complication rates'], ['SURPASS trial (van Klei 2012)', 'Full SSC compliance reduced in-hospital mortality from 1.5% to 0.8% (p<0.001)'], ['NELA 2023 report', 'SSC compliance >95% in UK emergency laparotomy audit; correlated with improved outcomes'], ], col_widths=[5.5*cm, 11.5*cm] )) story.append(Paragraph("The 10 Objectives of Safe Surgery (WHO)", sub_s)) objectives = [ "The team will operate on the correct patient at the correct site", "The team will use methods known to prevent harm from anaesthetic agents", "The team will recognise and effectively prepare for life-threatening loss of airway or respiratory function", "The team will recognise and effectively prepare for risk of high blood loss", "The team will avoid inducing an allergic or adverse drug reaction known to be a significant risk", "The team will consistently use methods known to minimise the risk of surgical site infection", "The team will prevent inadvertent retention of instruments or swabs in surgical wounds", "The team will secure and accurately identify all surgical specimens", "The team will effectively communicate and exchange critical patient information for safe surgery", "Hospitals will establish routine surveillance of surgical capacity, volume and results", ] for i, obj in enumerate(objectives, 1): story.append(Paragraph(f"{i}. {obj}", bullet_s)) story.append(PageBreak()) # ===== SECTION 6: NEVER EVENTS ===== story += sec_header("6. Never Events in Surgery & SSC Prevention", bg='#7b1f1f') story.append(make_table( [th('Never Event'), th('SSC Phase that Prevents It'), th('How')], [ ['Wrong site surgery', 'SIGN IN + TIME OUT', 'Site marking confirmed at Sign In; three-way verbal confirmation at Time Out'], ['Wrong patient', 'SIGN IN', 'Identity confirmed with wristband + verbal confirmation'], ['Wrong implant / prosthesis', 'TIME OUT', 'Surgeon states required implant; scrub nurse confirms it is present and correct'], ['Retained foreign body (swab/instrument)', 'SIGN OUT', 'Swab, instrument and needle counts confirmed correct before closure'], ['Specimen mislabelling', 'SIGN OUT', 'Specimen label checked verbally against patient details'], ['Wrong-route medication (e.g. intrathecal vincristine)', 'SIGN IN', 'Allergy and medication checks; anaesthetic drug labelling protocol'], ], col_widths=[4.5*cm, 4.5*cm, 8*cm] )) story.append(Paragraph("Barriers to SSC Compliance & Solutions", sub_s)) story.append(make_table( [th('Barrier'), th('Solution')], [ ['Time pressure / rushing', 'Checklist takes <2 minutes - audit shows no impact on list time'], ['Senior staff skipping steps', 'Culture change, consultant modelling, departmental audit'], ['Checklist fatigue / box-ticking', 'Verbal interactive format - team must respond, not just tick'], ['Not all team present at Time Out', 'Policy: no incision until all team present and Time Out complete'], ['Lack of psychological safety', 'Briefings and debriefs; anyone can speak up including student nurses'], ], col_widths=[5.5*cm, 11.5*cm] )) # ===== SECTION 7: VIVA PEARLS ===== story += sec_header("7. Key Viva & Exam Points", bg=RED) for pearl in [ "SSC introduced by WHO in 2008 - 'Safe Surgery Saves Lives' campaign", "Landmark evidence: Haynes et al. NEJM 2009 - 36% reduction in complications, 47% reduction in mortality", "Three phases: SIGN IN (before anaesthesia) - TIME OUT (before incision) - SIGN OUT (before patient leaves)", "TIME OUT is led by the surgeon; all team members must pause and be present", "Antibiotic prophylaxis must be given within 60 minutes of skin incision (usually at induction)", "Blood loss threshold: >500ml in adults, >7ml/kg in children = triggers blood preparation protocol", "Retained foreign body (swab/instrument) = Never Event; if count incorrect DO NOT CLOSE - re-explore", "Site marking is required for any procedure involving laterality, level or digit; not required for midline", "SSC compliance is audited nationally (e.g. NELA) and locally as part of theatre quality improvement", "Failure to complete SSC = clinical governance issue; must be documented and incident reported", "VUS in genetics = do not act; wrong-site surgery despite SSC = SI report + RCA required", ]: story.append(Paragraph(f"• {pearl}", bullet_s)) # Footer story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#2c6fad'))) story.append(Paragraph("Prepared by Orris AI · General Surgery Resident Reference · July 2026", footer_s)) doc.build(story) print("SSC PDF created successfully!") EOF

Medical education diagram titled "Multi-Organ Dysfunction Syndrome MODS - Organs Affected". Central human body silhouette with labeled organ dysfunction boxes pointing to each organ with arrows. Brain box top: Encephalopathy, confusion, GCS drop, cerebral oedema. Lungs box left: ARDS, hypoxia, bilateral infiltrates, PaO2/FiO2 less than 200. Heart box left: Myocardial depression, arrhythmias, low cardiac output, vasopressor requirement. Liver box right: Jaundice, elevated bilirubin, coagulopathy, hepatic failure. Kidneys box right: Acute kidney injury, oliguria, rising creatinine, dialysis requirement. GI tract box lower: Ileus, stress ulcers, bacterial translocation, gut barrier failure. Coagulation box lower left: DIC, low platelets, prolonged PT/APTT, bleeding and thrombosis. Adrenal box lower right: Relative adrenal insufficiency, vasopressor refractory shock. Color code each organ system differently. Red title banner at top. Professional clean medical illustration style, white background, suitable for ICU education.

Vertical pathophysiology cascade flowchart titled "Pathophysiology of MODS" for ICU and surgical education. Top box dark red: INITIAL INSULT - Sepsis, Major trauma, Pancreatitis, Burns, Major surgery, Ischaemia-reperfusion injury. Arrow down to orange box: SIRS - Systemic Inflammatory Response Syndrome - massive cytokine release, TNF-alpha, IL-1, IL-6, activated neutrophils and macrophages. Arrow down to red box: ENDOTHELIAL INJURY AND MICROVASCULAR DYSFUNCTION - increased vascular permeability, microthrombosis, impaired oxygen delivery, maldistribution of flow. Arrow down splits into two parallel paths. Left path orange: PRIMARY MODS - direct organ injury within 72 hours - lung first ARDS then kidney then liver. Right path purple: SECONDARY MODS - delayed, driven by ongoing inflammation and immune dysregulation - two-hit model. Both paths merge into bottom dark red box: ESTABLISHED MODS - sequential organ failure, mortality 40-100 percent depending on number of organs failing. Side annotation on right: Two-hit hypothesis - first hit primes immune system, second hit triggers MODS. Key mediators listed: cytokines TNF IL-1 IL-6, reactive oxygen species, complement activation, coagulation cascade, nitric oxide. Clean professional flowchart style, white background, color coded boxes.

Medical education diagram showing SOFA Score table and MODS Management principles side by side. Left panel titled SOFA SCORE - Sequential Organ Failure Assessment. Table with rows for each organ system and columns for scores 0 to 4. Row 1 Respiration PaO2/FiO2: 400+ = 0, 300-399 = 1, 200-299 = 2, 100-199 on ventilation = 3, less than 100 on ventilation = 4. Row 2 Coagulation Platelets: 150+ = 0, 100-149 = 1, 50-99 = 2, 20-49 = 3, less than 20 = 4. Row 3 Liver Bilirubin micromol/L: less than 20 = 0, 20-32 = 1, 33-101 = 2, 102-204 = 3, more than 204 = 4. Row 4 Cardiovascular MAP and vasopressors: MAP 70+ = 0, MAP less than 70 = 1, Dopamine less than 5 = 2, Dopamine 5-15 = 3, Dopamine more than 15 = 4. Row 5 CNS GCS: 15 = 0, 13-14 = 1, 10-12 = 2, 6-9 = 3, less than 6 = 4. Row 6 Renal Creatinine: less than 110 = 0, 110-170 = 1, 171-299 = 2, 300-440 = 3, more than 440 = 4. Score interpretation below: 0-6 low mortality, 7-9 moderate, above 11 high mortality above 90 percent. Right panel titled ICU MANAGEMENT PRIORITIES with 6 color coded boxes: Treat underlying cause, Organ support mechanical ventilation renal replacement therapy, Haemodynamic optimisation fluid resuscitation vasopressors, Nutrition early enteral feeding, Infection control antibiotics source control, Prevent secondary complications DVT stress ulcers. Clean professional medical education style, white background.

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' import requests imgs = { "mods_organs": "https://cdn.orris.care/image-gen/18993e7f0e3f486ab4da20b518ae6ca9.png", "mods_patho": "https://cdn.orris.care/image-gen/9221a7ac683c460284e9ca8051f722b3.png", "mods_sofa": "https://cdn.orris.care/image-gen/b0099e32427f40ed99b1713b324c3a41.png", } for name, url in imgs.items(): r = requests.get(url, timeout=30) with open(f"{name}.png", "wb") as f: f.write(r.content) print(f"{name}: {len(r.content)} bytes") print("All downloaded.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'EOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "Multi_Organ_Dysfunction_Syndrome.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=22, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#a04040'), alignment=TA_CENTER, spaceAfter=12) sec_s = ParagraphStyle('SE', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=5) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=14, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#b5451b'), leading=14, spaceAfter=5) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER, spaceBefore=4) DARK_RED = '#7b1f1f'; MED_RED = '#b5451b'; BLUE = '#1a3c5e'; TEAL = '#1a6b6b'; GREEN = '#1a7a4a' def sec_header(text, bg='#1a3c5e'): return [ Spacer(1, 0.3*cm), Table([[Paragraph(text, sec_s)]], colWidths=[IMG_W], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),7),('BOTTOMPADDING',(0,0),(-1,-1),7), ('LEFTPADDING',(0,0),(-1,-1),12)])), Spacer(1, 0.25*cm), ] def th(t): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=9, textColor=colors.white)) def make_table(headers, rows, col_widths=None, hbg='#7b1f1f'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0), colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0), colors.white), ('FONTNAME',(0,0),(-1,0), 'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1), 9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#fdf0f0'),colors.white]), ('GRID',(0,0),(-1,-1),0.4, colors.HexColor('#e0b0b0')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def make_table2(headers, rows, col_widths=None, hbg='#1a3c5e'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0), colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0), colors.white), ('FONTNAME',(0,0),(-1,0), 'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1), 9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.4, colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),7),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.4*cm)) story.append(Paragraph("Multi-Organ Dysfunction Syndrome", title_s)) story.append(Paragraph("MODS · SIRS · Pathophysiology · SOFA Score · ICU Management · Surgical Implications", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#7b1f1f'), spaceAfter=10)) story.append(Paragraph("Dr. Vaishnavi | General Surgery / Critical Care | July 2026", footer_s)) story.append(Spacer(1, 0.3*cm)) # ===== SECTION 1: DEFINITIONS ===== story += sec_header("1. Definitions - SIRS, Sepsis, MODS", bg=DARK_RED) story.append(make_table( [th('Term'), th('Definition'), th('Criteria')], [ ['SIRS\n(Systemic Inflammatory\nResponse Syndrome)', 'Widespread dysregulated inflammatory response to an insult', '2 or more of: Temp >38 or <36°C, HR >90, RR >20 or PaCO2 <32, WBC >12 or <4 or >10% bands'], ['Sepsis', 'Life-threatening organ dysfunction caused by dysregulated host response to infection', 'SOFA score increase ≥2 points from baseline (Sepsis-3 definition, 2016)'], ['Septic Shock', 'Sepsis + circulatory/metabolic dysfunction', 'Vasopressor required to maintain MAP ≥65 + lactate >2 mmol/L despite fluid resuscitation'], ['MODS\n(Multi-Organ Dysfunction\nSyndrome)', 'Presence of altered organ function in an acutely ill patient such that homeostasis cannot be maintained without intervention', 'Sequential or simultaneous failure of ≥2 organ systems; SOFA total ≥2 per system'], ['MOF\n(Multi-Organ Failure)', 'End-stage, irreversible MODS', 'Complete failure of ≥2 organs; mortality 60-100% depending on number of organs'], ], col_widths=[3.5*cm, 6.5*cm, 7*cm] )) # ===== SECTION 2: ORGANS DIAGRAM ===== story += sec_header("2. Organs Affected in MODS", bg=DARK_RED) story.append(Image("mods_organs.png", width=IMG_W, height=IMG_W*0.82)) story.append(Paragraph("Fig 1. Multi-organ dysfunction - each organ system affected with key features and clinical markers", caption_s)) story.append(Paragraph("Organ Dysfunction - Clinical Criteria", sub_s)) story.append(make_table( [th('Organ System'), th('MODS Features'), th('Key Monitoring Parameters')], [ ['Respiratory', 'ARDS, PaO2/FiO2 <300, bilateral infiltrates, mechanical ventilation', 'PaO2/FiO2 ratio, PEEP, plateau pressure, lung compliance'], ['Cardiovascular', 'Hypotension MAP <65, myocardial depression, vasopressor requirement, arrhythmias', 'MAP, CVP, cardiac output, lactate, vasopressor dose'], ['Renal', 'AKI - creatinine rise >26 micromol/L in 48h or >1.5x baseline, oliguria <0.5ml/kg/h for 6h', 'Urine output hourly, creatinine, urea, eGFR'], ['Hepatic', 'Bilirubin >32 micromol/L, elevated AST/ALT, coagulopathy (INR >1.5), encephalopathy', 'Bilirubin, INR, albumin, ammonia, blood glucose'], ['CNS', 'Encephalopathy, GCS drop, confusion, cerebral oedema, seizures', 'GCS, pupil response, EEG if needed, CT head'], ['Coagulation', 'DIC: platelets <100, prolonged PT/APTT, fibrinogen <1, elevated D-dimer, bleeding AND clotting', 'FBC, PT, APTT, fibrinogen, D-dimer, TEG/ROTEM'], ['GI/Hepatic', 'Ileus, stress ulcers (Curling ulcers in burns), bacterial translocation, abdominal compartment syndrome', 'Bowel sounds, NGT output, IAP monitoring'], ['Adrenal', 'Relative adrenal insufficiency, vasopressor refractory shock, hyponatraemia', 'Cortisol stimulation test, response to hydrocortisone'], ], col_widths=[3.5*cm, 7*cm, 6.5*cm] )) story.append(PageBreak()) # ===== SECTION 3: PATHOPHYSIOLOGY ===== story += sec_header("3. Pathophysiology Cascade", bg=MED_RED) story.append(Image("mods_patho.png", width=IMG_W, height=IMG_W*0.88)) story.append(Paragraph("Fig 2. Pathophysiology cascade from initial insult through SIRS to established MODS", caption_s)) story.append(Paragraph("Key Pathophysiological Mechanisms", sub_s)) mechs = [ ("Cytokine Storm", ["Initial insult activates macrophages and monocytes → massive release of pro-inflammatory cytokines", "Key cytokines: TNF-alpha, IL-1beta, IL-6, IL-8, IL-18", "These amplify the inflammatory response in a positive feedback loop", "Simultaneously, anti-inflammatory cytokines (IL-10, TGF-beta) cause counter-regulatory immunosuppression"]), ("Endothelial Dysfunction", ["Cytokines and activated neutrophils damage endothelium throughout the microcirculation", "Results in: increased capillary permeability → massive oedema, reduced oncotic pressure", "Loss of vasomotor tone → distributive shock", "Upregulation of adhesion molecules → neutrophil margination and tissue damage"]), ("Microvascular Dysfunction & Oxygen Debt", ["Microvascular thrombosis (from tissue factor activation) impairs capillary flow", "Maldistribution of blood flow → some areas hyperperfused, others ischaemic", "Mitochondrial dysfunction → cells cannot utilise oxygen even when delivered", "Cytopathic hypoxia: cells die despite adequate O2 delivery"]), ("Gut Barrier Failure", ["The gut is the 'motor of MODS' - early ischaemia disrupts epithelial tight junctions", "Bacterial translocation: gut flora cross into mesenteric lymphatics and portal circulation", "Amplifies systemic inflammation even after the original insult is controlled", "Early enteral nutrition is the most effective strategy to preserve gut barrier"]), ("Two-Hit Hypothesis", ["First hit: major insult (surgery, trauma, sepsis) primes the immune system", "Second hit: seemingly minor subsequent event (pneumonia, re-operation, ICU procedure) triggers disproportionate inflammatory response → MODS", "Explains why patients deteriorate days after apparent initial stabilisation", "Surgical implication: damage control surgery minimises the second hit in trauma"]), ] for title, pts in mechs: story.append(Table([[Paragraph(title, ParagraphStyle('mh', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor('#8b2020')), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4), ('LEFTPADDING',(0,0),(-1,-1),10)]))) for pt in pts: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Spacer(1, 0.15*cm)) story.append(PageBreak()) # ===== SECTION 4: SOFA SCORE & MANAGEMENT ===== story += sec_header("4. SOFA Score & ICU Management", bg=BLUE) story.append(Image("mods_sofa.png", width=IMG_W, height=IMG_W*0.72)) story.append(Paragraph("Fig 3. SOFA score table and ICU management priorities for MODS", caption_s)) story.append(Paragraph("SOFA Score - Sequential Organ Failure Assessment", sub_s)) story.append(make_table2( [th('Organ'), th('Parameter'), th('Score 0'), th('Score 1'), th('Score 2'), th('Score 3'), th('Score 4')], [ ['Respiratory', 'PaO2/FiO2', '>400', '300-399', '200-299', '100-199\n+ventilation', '<100\n+ventilation'], ['Coagulation', 'Platelets', '>150', '100-149', '50-99', '20-49', '<20'], ['Liver', 'Bilirubin\n(micromol/L)', '<20', '20-32', '33-101', '102-204', '>204'], ['CVS', 'MAP / Vasopressors', 'MAP≥70', 'MAP<70', 'Dopa<5\nor Dobu', 'Dopa 5-15\nor NA<0.1', 'Dopa>15\nor NA>0.1'], ['CNS', 'GCS', '15', '13-14', '10-12', '6-9', '<6'], ['Renal', 'Creatinine\n(micromol/L)', '<110', '110-170', '171-299', '300-440\nor UO<500ml/d', '>440\nor UO<200ml/d'], ], col_widths=[2.8*cm, 3*cm, 2*cm, 2*cm, 2*cm, 2.6*cm, 2.6*cm], hbg='#1a3c5e' )) story.append(Paragraph("SOFA Score Interpretation:", sub_s)) story.append(make_table2( [th('Total SOFA Score'), th('Predicted ICU Mortality')], [ ['0-6', '< 10%'], ['7-9', '15-20%'], ['10-12', '40-50%'], ['>12', '>50-80%'], ['>15', '>80-90%'], ], col_widths=[8*cm, 9*cm], hbg='#2c6fad' )) story.append(PageBreak()) # ===== SECTION 5: MANAGEMENT ===== story += sec_header("5. Management of MODS - ICU Principles", bg=BLUE) mgmt = [ ("1. Treat the Underlying Cause", '#1a3c5e', [ "Identify and aggressively treat the precipitant: antibiotics for sepsis, source control (drain abscess, resect bowel), haemorrhage control", "Source control within 6-12 hours in sepsis with surgical source (abdominal, pelvic)", "Blood cultures BEFORE antibiotics; do not delay antibiotics for cultures in septic shock", ]), ("2. Haemodynamic Resuscitation", '#1a6b9a', [ "Initial fluid resuscitation: 30ml/kg crystalloid within 3 hours for septic shock", "Target: MAP ≥65 mmHg, urine output ≥0.5ml/kg/h, lactate clearance ≥10% per 2h", "Vasopressors: noradrenaline is first-line; add vasopressin 0.03 units/min if refractory", "Avoid fluid overload - associated with worse MODS outcomes; guided by dynamic parameters (pulse pressure variation, stroke volume variation)", ]), ("3. Respiratory Support", '#1a7a4a', [ "Lung protective ventilation: tidal volume 6ml/kg ideal body weight, plateau pressure <30cmH2O", "PEEP titration to maintain oxygenation", "Prone positioning for PaO2/FiO2 <150 for >12 hours/day (PROSEVA trial - 28% reduction in mortality)", "Spontaneous breathing trials daily to facilitate weaning", ]), ("4. Renal Support", '#2c5f2e', [ "Continuous renal replacement therapy (CRRT) preferred over intermittent haemodialysis in haemodynamically unstable patients", "Avoid nephrotoxins: NSAIDs, aminoglycosides, contrast agents", "Target euvolaemia; avoid fluid overload which worsens renal recovery", ]), ("5. Nutrition", '#5c3a00', [ "Early enteral nutrition within 24-48 hours of ICU admission - preserves gut barrier, reduces bacterial translocation", "Target: 25-30 kcal/kg/day; 1.2-2g/kg/day protein", "Parenteral nutrition only if enteral route not feasible after 7 days (CALORIES trial)", "Tight glycaemic control: target glucose 6-10 mmol/L (avoid hypoglycaemia)", ]), ("6. Infection Control", '#4a0060', [ "Broad-spectrum antibiotics early; de-escalate based on cultures (antimicrobial stewardship)", "Central line care bundles to prevent CLABSI", "VAP prevention bundle: head-of-bed elevation 30-45°, oral decontamination, daily sedation holds", "Surgical source control: do not delay drainage/debridement for a septic focus", ]), ("7. Prevent Secondary Complications", '#6b0000', [ "VTE prophylaxis: LMWH + compression stockings (unless coagulopathic)", "Stress ulcer prophylaxis: PPI or H2 blocker in ventilated patients", "Daily sedation vacation + spontaneous breathing trials", "Corticosteroids: hydrocortisone 200mg/day in vasopressor-refractory septic shock (ADRENAL trial)", "Consider IVIG in streptococcal toxic shock; consider activated protein C is no longer recommended", ]), ] for title, bg, pts in mgmt: story.append(Table([[Paragraph(title, ParagraphStyle('mh', fontName='Helvetica-Bold', fontSize=10, textColor=colors.white))]], colWidths=[IMG_W], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),10)]))) for pt in pts: story.append(Paragraph(f"• {pt}", bullet_s)) story.append(Spacer(1, 0.15*cm)) story.append(PageBreak()) # ===== SECTION 6: SURGICAL IMPLICATIONS ===== story += sec_header("6. Surgical Implications of MODS", bg=MED_RED) story.append(make_table( [th('Scenario'), th('Surgical Strategy'), th('Rationale')], [ ['Trauma with MODS risk', 'Damage Control Surgery (DCS)', 'Abbreviated laparotomy, pack and close, ICU resuscitation, re-look at 48-72h. Minimises the second hit.'], ['Abdominal sepsis with MODS', 'Source control within 6-12h', 'Drain abscess, resect perforated bowel; damage control laparotomy with open abdomen if severely contaminated'], ['Open abdomen / laparostomy', 'Negative pressure wound therapy (NPWT)', 'Controls abdominal compartment syndrome, allows re-look, controls contamination'], ['Abdominal Compartment Syndrome', 'Decompressive laparotomy', 'IAP >20mmHg + new organ dysfunction = emergency decompression; mortality 50-75% if untreated'], ['Post-op MODS in elective surgery', 'Level 2/3 HDU/ICU care', 'NELA: emergency laparotomy patients with MODS benefit from HDU/ICU; predicted mortality >10% should go to critical care'], ['Anastomotic leak causing MODS', 'Early re-laparotomy + defunctioning', 'Delay worsens outcomes; early surgical decision saves lives in post-op septic patient'], ], col_widths=[3.5*cm, 4.5*cm, 9*cm] )) story.append(Paragraph("Abdominal Compartment Syndrome", sub_s)) story.append(make_table2( [th('Grade'), th('IAP (mmHg)'), th('Action')], [ ['I', '12-15', 'Monitor, optimise volume, nurse flat, consider NG decompression'], ['II', '16-20', 'All above + consider percutaneous drainage if ascites present'], ['III', '21-25', 'Surgical decompression strongly considered'], ['IV', '>25', 'Emergency decompressive laparotomy; open abdomen with NPWT'], ], col_widths=[2*cm, 4*cm, 11*cm], hbg='#7b1f1f' )) # ===== SECTION 7: PROGNOSIS & VIVA ===== story += sec_header("7. Prognosis & Key Viva Points", bg=DARK_RED) story.append(Paragraph("Mortality by Number of Failing Organs", sub_s)) story.append(make_table( [th('Organs Failing'), th('Approximate Mortality')], [ ['1 organ', '15-20%'], ['2 organs', '40-55%'], ['3 organs', '70-80%'], ['4+ organs','>90%'], ], col_widths=[8*cm, 9*cm] )) story.append(Spacer(1, 0.3*cm)) for pearl in [ "MODS definition: altered organ function in an acutely ill patient where homeostasis cannot be maintained without intervention", "Most common cause of MODS: sepsis (60-70%); then trauma, major surgery, pancreatitis, burns", "Organ failure sequence: Lungs first (ARDS), then kidneys, then liver, then brain, then coagulation (DIC)", "SOFA score: gold standard for assessing severity of MODS; increase of ≥2 = organ dysfunction", "SOFA >12 = >50% mortality; >15 = >80% mortality", "Two-hit hypothesis: explains delayed MODS days after initial stabilisation; guides damage control approach", "Gut is the 'motor of MODS' - early enteral feeding within 24-48h is the most effective protective strategy", "Lung protective ventilation: TV 6ml/kg IBW, plateau pressure <30cmH2O (ARDSnet trial)", "Prone positioning for PaO2/FiO2 <150: PROSEVA trial showed 28% mortality reduction", "Damage control surgery: abbreviated laparotomy in trauma to minimise second hit; relaparotomy at 48-72h", "Abdominal compartment syndrome: IAP >20 + new organ dysfunction = decompressive laparotomy emergency", "Vasopressors: noradrenaline first-line; add vasopressin for refractory shock; add hydrocortisone 200mg/day in vasopressor-refractory septic shock", ]: story.append(Paragraph(f"• {pearl}", bullet_s)) story.append(Spacer(1, 0.5*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#7b1f1f'))) story.append(Paragraph("Prepared by Orris AI · General Surgery / Critical Care Reference · July 2026", footer_s)) doc.build(story) print("MODS PDF created successfully!") EOF

python3 - << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" with pdfplumber.open(pdf_path) as pdf: print(f"Total pages: {len(pdf.pages)}") # Extract first 5 pages to identify topics for i, page in enumerate(pdf.pages[:6]): text = page.extract_text() if text: print(f"\n===== PAGE {i+1} =====") print(text[:1500]) EOF

python3 - << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" with pdfplumber.open(pdf_path) as pdf: print(f"Total pages: {len(pdf.pages)}") # Try to extract text - check if it's a scanned PDF for i, page in enumerate(pdf.pages[:10]): text = page.extract_text() print(f"Page {i+1}: chars={len(text) if text else 0}, text_preview={repr(text[:200]) if text else 'NONE'}") EOF

python3 - << 'EOF' # Convert PDF pages to images so we can analyse them from pypdf import PdfReader import os pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" reader = PdfReader(pdf_path) print(f"Pages: {len(reader.pages)}") # Check if there are any embedded images we can extract info from for i, page in enumerate(reader.pages[:5]): print(f"Page {i+1} - resources: {list(page.get('/Resources', {}).keys()) if page.get('/Resources') else 'none'}") EOF

python3 - << 'EOF' # Extract embedded images from first few pages to identify topics from pypdf import PdfReader import os pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" reader = PdfReader(pdf_path) os.makedirs("/tmp/workspace/omentum-pdf/pdf_pages", exist_ok=True) # Extract images from pages 1,2,3,4,5 to identify topics count = 0 for page_num in [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]: page = reader.pages[page_num] resources = page.get('/Resources', {}) xobjects = resources.get('/XObject', {}) if xobjects: xobj = xobjects.get_object() if hasattr(xobjects, 'get_object') else xobjects for name, obj in xobj.items(): xobj_ref = obj.get_object() if hasattr(obj, 'get_object') else obj if xobj_ref.get('/Subtype') == '/Image': data = xobj_ref.get_data() filter_type = xobj_ref.get('/Filter', '') if 'JPEG' in str(filter_type) or 'DCT' in str(filter_type): ext = 'jpg' else: ext = 'png' fname = f"/tmp/workspace/omentum-pdf/pdf_pages/page{page_num+1}_{name}.{ext}" with open(fname, 'wb') as f: f.write(data) print(f"Saved: {fname} ({len(data)} bytes)") count += 1 break # one image per page is enough print(f"Total images extracted: {count}") EOF

mkdir -p "/tmp/workspace/omentum-pdf/pdf_pages" && python3 - << 'EOF' from pypdf import PdfReader import os, re pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" reader = PdfReader(pdf_path) out_dir = "/tmp/workspace/omentum-pdf/pdf_pages" saved = [] for page_num in range(min(20, len(reader.pages))): page = reader.pages[page_num] try: resources = page['/Resources'] xobjects = resources['/XObject'].get_object() for name in list(xobjects.keys())[:1]: xobj = xobjects[name].get_object() if xobj.get('/Subtype') == '/Image': data = xobj.get_data() safe_name = re.sub(r'[^a-zA-Z0-9]', '_', name) fname = os.path.join(out_dir, f"page{page_num+1}{safe_name}.jpg") with open(fname, 'wb') as f: f.write(data) saved.append(fname) print(f"Saved p{page_num+1}: {len(data)} bytes") except Exception as e: print(f"p{page_num+1}: {e}") print(f"\nTotal saved: {len(saved)}") EOF

python3 - << 'EOF' # Try using pdf2image or PIL to render pages as images # First check what's available import subprocess result = subprocess.run(['python3', '-c', 'import pdf2image; print("pdf2image ok")'], capture_output=True, text=True) print("pdf2image:", result.stdout, result.stderr) result2 = subprocess.run(['python3', '-c', 'import fitz; print("PyMuPDF ok")'], capture_output=True, text=True) print("PyMuPDF:", result2.stdout, result2.stderr) result3 = subprocess.run(['python3', '-c', 'import pymupdf; print("pymupdf ok")'], capture_output=True, text=True) print("pymupdf:", result3.stdout, result3.stderr) EOF

python3 - << 'EOF' from pdf2image import convert_from_path import os pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" out_dir = "/tmp/workspace/omentum-pdf/pdf_pages" os.makedirs(out_dir, exist_ok=True) # Convert first 15 pages at low DPI to identify topics pages = convert_from_path(pdf_path, dpi=100, first_page=1, last_page=15) for i, page in enumerate(pages): fname = f"{out_dir}/page_{i+1:03d}.jpg" page.save(fname, "JPEG", quality=70) print(f"Saved: {fname}") print("Done.") EOF

python3 - << 'EOF' from pdf2image import convert_from_path import os pdf_path = "/tmp/workspace/attachments/0eea0f97-29d6-4fab-8b0c-05589bdb2690/ios-6OKZj4VlPbPiWl0J.pdf" out_dir = "/tmp/workspace/omentum-pdf/pdf_pages" # Convert key pages - first page of each chapter + some content pages # Ch1 p3(pg5), Ch2 p13(pg15), Ch3 p27(pg29), Ch4 p37(pg39), Ch5 p45(pg47) # Ch6 p55(pg57), Ch7 p69(pg71), Ch8 p85(pg87), Ch9 p94(pg96) # Ch10 p103(pg105), Ch11 p113(pg115), Ch12 p125(pg127), Ch13 p143(pg145), Ch14 p157(pg159) # Pages are offset by ~2 (cover + contents) chapter_pages = [5, 15, 29, 39, 47, 57, 71, 87, 96, 105, 115, 127, 145, 159] pages = convert_from_path(pdf_path, dpi=120, first_page=1, last_page=165) for pg in chapter_pages: if pg <= len(pages): fname = f"{out_dir}/ch_pg{pg:03d}.jpg" pages[pg-1].save(fname, "JPEG", quality=75) print(f"Saved p{pg}: {fname}") # Also save a few more pages per chapter for content extra = [6,7,8, 16,17, 30,31, 40,41, 48,49, 58,59,60, 72,73, 88,89, 97,98, 106,107, 116,117,118, 128,129,130, 146,147, 160,161] for pg in extra: if pg <= len(pages): fname = f"{out_dir}/ch_pg{pg:03d}.jpg" pages[pg-1].save(fname, "JPEG", quality=75) print("All saved.") EOF

cd /tmp/workspace/omentum-pdf && python3 - << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, PageBreak, KeepTogether) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY PAGE_W, PAGE_H = A4 MARGIN = 1.5*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "RAS39_Crisp_Summary.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=20, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=3) subtitle_s= ParagraphStyle('ST', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=10) ch_s = ParagraphStyle('CH', fontSize=12, fontName='Helvetica-Bold', textColor=colors.white) sub_s = ParagraphStyle('SB', fontSize=9, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=5, spaceAfter=2) bullet_s = ParagraphStyle('BL', fontSize=8.5,fontName='Helvetica', leading=12, leftIndent=10, textColor=colors.HexColor('#2d2d2d'), spaceAfter=2) hl_s = ParagraphStyle('HL', fontSize=8.5,fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), leading=12, spaceAfter=2) footer_s = ParagraphStyle('F', fontSize=7, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER) section_s = ParagraphStyle('SS', fontSize=8, fontName='Helvetica-Bold', textColor=colors.HexColor('#4a6fa5'), spaceAfter=2, spaceBefore=4) COLORS = { 'gen': '#1a3c5e', # Surgery in General - navy 'train': '#2c6f2c', # Training - green 'breast':'#8b2870', # Breast - purple 'hn': '#7b3a1a', # Head & Neck - brown 'ugi': '#1a6b9a', # Upper GI - blue 'lgi': '#2c6f6f', # Lower GI - teal 'hpb': '#6b5a00', # HPB - gold 'vasc': '#4a0060', # Vascular - purple 'innov': '#005a3c', # Innovation - forest green 'trial': '#3a3a3a', # Trials - dark grey } def ch_header(num, title, section_label, color_key): bg = COLORS.get(color_key, '#1a3c5e') return [ Spacer(1, 0.2*cm), Table([[Paragraph(f"Ch {num} | {title}", ch_s), Paragraph(section_label, ParagraphStyle('sl', fontSize=7, fontName='Helvetica-Oblique', textColor=colors.HexColor('#ccddff'), alignment=TA_LEFT))]], colWidths=[IMG_W*0.78, IMG_W*0.22], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1),colors.HexColor(bg)), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),8),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ])), Spacer(1, 0.15*cm), ] def bullets(pts, color=None): out = [] for pt in pts: style = hl_s if color=='red' else bullet_s out.append(Paragraph(f"\u2022 {pt}", style)) return out def sub(title): return [Paragraph(title, sub_s)] def divider(color='#aac4de'): return [HRFlowable(width=IMG_W, thickness=0.5, color=colors.HexColor(color), spaceAfter=3)] def flow_box(items, bg='#eaf2fb', border='#2c6fad'): """Render a mini flowchart as a table with arrow separators""" rows = [] for i, item in enumerate(items): rows.append([Paragraph(item, ParagraphStyle('fb', fontSize=8, fontName='Helvetica-Bold' if i==0 or i==len(items)-1 else 'Helvetica', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER))]) if i < len(items)-1: rows.append([Paragraph('\u25bc', ParagraphStyle('arr', fontSize=10, alignment=TA_CENTER, textColor=colors.HexColor('#2c6fad')))]) t = Table(rows, colWidths=[IMG_W*0.85]) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(0,0),colors.HexColor('#1a3c5e')), ('TEXTCOLOR',(0,0),(0,0),colors.white), ('BACKGROUND',(0,-1),(0,-1),colors.HexColor('#1a7a4a')), ('TEXTCOLOR',(0,-1),(0,-1),colors.white), ('ROWBACKGROUNDS',(0,1),(-1,-2),[colors.HexColor(bg), colors.white]), ('BOX',(0,0),(-1,-1),0.5,colors.HexColor(border)), ('TOPPADDING',(0,0),(-1,-1),3),('BOTTOMPADDING',(0,0),(-1,-1),3), ('ALIGN',(0,0),(-1,-1),'CENTER'), ])) return [Spacer(1,0.1*cm), t, Spacer(1,0.15*cm)] # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("Recent Advances in Surgery - Volume 39", title_s)) story.append(Paragraph("Rachel Hargest & Michael Douek | Crisp Chapter Summaries | All 14 Chapters", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#1a3c5e'), spaceAfter=6)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | Compiled by Orris AI | July 2026", footer_s)) story.append(Spacer(1, 0.2*cm)) # Quick index table story.append(Paragraph("Chapter Index", sub_s)) idx_data = [ [Paragraph('Ch', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), Paragraph('Title', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), Paragraph('Section', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white))], ['1', 'Necrotizing Fasciitis', 'Surgery in General'], ['2', 'Litigation and How to Avoid It', 'Surgery in General'], ['3', 'Acquisition of Surgical Skills - Novice to Master', 'Training in Surgery'], ['4', 'Assessment of Margins in Breast Cancer Surgery', 'Breast Surgery'], ['5', 'Lobular Carcinoma In Situ', 'Breast Surgery'], ['6', 'Neck Dissection in Head & Neck Cancers', 'Head & Neck Surgery'], ['7', 'Penetrating Trauma of the Upper GI Tract', 'Upper GI Surgery'], ['8', 'Novel Radiotherapy for Anal Cancer', 'Lower GI Surgery'], ['9', 'Anorectal & Perineal TB', 'Lower GI Surgery'], ['10', 'Surgery in Crohn\'s Disease & Pregnancy', 'Lower GI Surgery'], ['11', 'Pyogenic Liver Abscess', 'Hepatobiliary Surgery'], ['12', 'Thoracic Outlet Syndrome', 'Vascular Surgery'], ['13', '3D Printing in Surgery', 'Innovation in Surgery'], ['14', 'Recent RCTs in Surgery (Review)', 'Clinical Trials'], ] idx_t = Table(idx_data, colWidths=[1*cm, 10*cm, 5*cm]) idx_t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor('#1a3c5e')), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTSIZE',(0,0),(-1,-1),8), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.3,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),3),('BOTTOMPADDING',(0,0),(-1,-1),3), ('LEFTPADDING',(0,0),(-1,-1),5),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ])) story.append(idx_t) story.append(Spacer(1, 0.3*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#aac4de'), spaceAfter=4)) # ============================================================ # CHAPTER 1 - NECROTIZING FASCIITIS # ============================================================ story += ch_header(1, "Necrotizing Fasciitis", "Surgery in General", 'gen') story += sub("Key Facts") story += bullets([ "Life-threatening, rapidly advancing infection of fascia and subcutaneous tissues - SURGICAL EMERGENCY", "Encompasses: necrotizing fasciitis, Fournier's gangrene (perineum), Ludwig's angina (submandibular)", "Mortality 20-35%; delay in surgery = key determinant of death", "Most common sites: lower limbs 28%, upper limbs 27%, perineum 21%, trunk 18%", ]) story += sub("Classification (Giuliano)") story += bullets([ "Type I (Polymicrobial) - 90%: Synergistic aerobic + anaerobic bacteria; elderly, immunocompromised, diabetic", "Type II (Monomicrobial): Group A beta-haemolytic Streptococcus, MRSA; healthy patients, trivial trauma", "Type III: Marine organisms - Vibrio vulnificus; seawater contamination", "Type IV: Fungal - Zygomycetes, Candida; immunocompromised/burns", ]) story += sub("Diagnosis") story += bullets([ "CLINICAL diagnosis - do not wait for investigations to act!", "Pain out of proportion to signs; crepitus (late, <20%); skin necrosis; altered sensation (patch anaesthesia)", "LRINEC Score ≥6 = high suspicion (92% PPV, 96% NPV): CRP >150, WBC >15, Na <135, glucose >10, Hb <13.5, Cr >141", "Finger sweep test: positive = finger passes easily along fascial planes = necrosis", "CT: gas tracking along fascial planes - gold standard imaging but do not delay surgery for it", ]) story += sub("Management Flowchart") story += flow_box([ "SUSPECT NF → Immediate surgical referral", "Resuscitate: IV fluids, broad-spectrum antibiotics (Pip-Tazo + Clindamycin + Metronidazole)", "LRINEC + CT if NOT delaying surgery", "Emergency surgical debridement - all necrotic tissue excised to bleeding margins", "Return to theatre at 24-48h for re-look / further debridement", "HDU/ICU care, IVIG considered for streptococcal TSS", "Wound closure / reconstruction / skin grafting once clean", ]) story += bullets(["Antibiotics: Pip-Tazo + Clindamycin (anti-toxin) + consider IVIG in Group A Strep TSS", "Hyperbaric oxygen: adjunct only, insufficient evidence to delay surgery"], color='red') story += divider() # ============================================================ # CHAPTER 2 - LITIGATION # ============================================================ story += ch_header(2, "Litigation and How to Avoid It", "Surgery in General", 'gen') story += sub("Key Legal Principles") story += bullets([ "Negligence requires 3 elements (Bolam test): duty of care + breach of duty + causation of harm", "Bolam test (1957): standard of reasonable body of medical opinion - updated by Bolitho (1997): must be logically defensible", "Montgomery ruling (2015): consent must cover ALL material risks patient would want to know - not just what surgeon thinks relevant", "Res ipsa loquitur: 'the thing speaks for itself' - negligence is obvious (e.g. retained swab)", ]) story += sub("Most Common Claims in Surgery") story += bullets([ "Wrong site / wrong patient / wrong procedure", "Failure to diagnose or delay in diagnosis", "Complications not consented for (post-Montgomery)", "Inadequate or missing documentation", "Retained surgical instruments or swabs", ]) story += sub("How to Avoid Litigation") story += bullets([ "CONSENT: document every risk discussed; use patient decision aids; allow time for questions", "DOCUMENTATION: contemporaneous, legible, complete notes - 'if not written, it didn't happen'", "COMMUNICATION: always explain complications early; say sorry (Duty of Candour - statutory since 2014)", "FOLLOW-UP: safety-net all patients; document it; arrange clear plans", "WHO Surgical Safety Checklist compliance - prevents never events", "If something goes wrong: early, honest communication + incident report + support patient", ]) story += bullets(["Duty of Candour (Health & Social Care Act 2008): legal obligation to be open and honest when things go wrong"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 3 - SURGICAL SKILLS ACQUISITION # ============================================================ story += ch_header(3, "Acquisition of Surgical Skills: Novice to Master", "Training in Surgery", 'train') story += sub("Dreyfus Model of Skill Acquisition") story += bullets([ "5 stages: Novice → Advanced Beginner → Competent → Proficient → Expert", "Novice: follows rules rigidly; Expert: intuitive, contextual, effortless", "Surgical training traditionally: 'see one, do one, teach one' - now replaced by simulation-based training", ]) story += sub("Deliberate Practice (Ericsson)") story += bullets([ "High-quality, focused repetition with feedback is key - not just experience", "10,000 hours rule (Gladwell): applies to structured deliberate practice", "Mental rehearsal and self-reflection are as important as physical practice", ]) story += sub("Simulation in Surgery") story += bullets([ "Box trainers (laparoscopic): low-cost, effective for basic skills (camera navigation, clip-applying, suturing)", "Virtual reality simulators: face & construct validity; metrics-based feedback; performance transfer to OR shown", "Cadaveric and animal models: best for open and complex procedures", "Proficiency-based progression (PBP): train to a standard not to a time - superior to time-based training", ]) story += sub("Assessment Tools") story += bullets([ "OSATS (Objective Structured Assessment of Technical Skills): validated global rating scale", "DOPS (Direct Observation of Procedural Skills): real-time feedback in clinical setting", "Video-based assessment: Zwisch model (show and tell → active help → passive help → supervision only)", "Metrics from simulators: time, economy of movement, path length, errors", ]) story += bullets(["Training-to-proficiency not time-based completion is the future of surgical training (RCS guidance)"], color='red') story += divider() # ============================================================ # CHAPTER 4 - BREAST MARGINS # ============================================================ story += ch_header(4, "Assessment of Margins in Breast Cancer Surgery", "Breast Surgery", 'breast') story += sub("Why Margins Matter") story += bullets([ "Positive margins (tumour at ink) = higher local recurrence risk; need re-excision or mastectomy", "Current consensus (SSO-ASTRO-COBES 2014 for IDC): 'no ink on tumour' is the standard for BCS", "For DCIS: 2mm margin recommended (SSO-ASTRO 2016)", "Re-excision rate after BCS: 20-30% in many centres - major quality improvement target", ]) story += sub("Intra-operative Margin Assessment Techniques") story += bullets([ "Specimen radiology (2D/3D): standard; guides same-sitting re-excision if margin close", "Frozen section: fast but limited by fat (poor cryosection quality in fatty breast tissue)", "Imprint cytology: quick, cheap but operator-dependent", "MarginProbe (radiofrequency spectroscopy): real-time; RCT showed reduced re-excision", "Cavity shave margins (CSM): take shave of remaining cavity walls; reduces re-excision rate significantly", "SCOUT/wire localisation: pre-op localisation of impalpable lesions", "Intraoperative ultrasound: surgeon-guided; improves margin status", ]) story += sub("New Technologies") story += bullets([ "ClearEdge/LUM system: fluorescence imaging of margin - pending wider adoption", "Frozen section AI: deep learning algorithms for real-time margin assessment", "MRI guidance: intra-operative MRI in specialist centres", ]) story += bullets(["Cavity shave margins reduce re-excision rates by ~50% (SHAVE trial, Chung 2015)"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 5 - LCIS # ============================================================ story += ch_header(5, "Lobular Carcinoma In Situ (LCIS)", "Breast Surgery", 'breast') story += sub("Classification") story += bullets([ "LCIS is a non-obligate precursor of invasive breast cancer AND a risk marker", "Classic LCIS (cLCIS): low-grade, often incidental on biopsy; bilateral in 20-30%", "Pleomorphic LCIS (pLCIS): high-grade, necrosis; acts more like DCIS - needs wider excision", "Florid LCIS: mass-forming, calcifications; intermediate behaviour", "E-cadherin NEGATIVE on IHC - distinguishes LCIS from DCIS (E-cadherin positive)", ]) story += sub("Risk & Management") story += bullets([ "Classic LCIS: 8-10x increased lifetime risk of invasive breast cancer (lobular or ductal type)", "Classic LCIS found on core biopsy: excision recommended (upgrade to malignancy 0-3.7%)", "Pleomorphic/Florid LCIS: treat like DCIS - wide local excision to 2mm margins + MDT discussion", "Surveillance: annual mammogram + MRI (if dense breasts or high-risk)", "Chemoprevention: Tamoxifen (pre-menopausal) or Raloxifene/Aromatase inhibitor (post-menopausal) reduces risk by ~50%", "Bilateral prophylactic mastectomy: for high-risk cases with additional risk factors (BRCA, strong FH)", ]) story += bullets(["pLCIS now treated as high-risk lesion - excision with clear margins; consider adjuvant tamoxifen"], color='red') story += divider() # ============================================================ # CHAPTER 6 - NECK DISSECTION # ============================================================ story += ch_header(6, "Neck Dissection in Head & Neck Cancers", "Head & Neck Surgery", 'hn') story += sub("Classification (AAO-HNS 2002)") story += bullets([ "Level I: Submental (Ia) + Submandibular (Ib)", "Level II: Upper jugular (IIa = anterior to XI nerve; IIb = posterior to XI)", "Level III: Middle jugular; Level IV: Lower jugular", "Level V: Posterior triangle (Va = above omohyoid; Vb = below)", "Level VI: Central compartment (pretracheal/paratracheal); Level VII: Superior mediastinal", ]) story += sub("Types of Neck Dissection") story += bullets([ "Radical ND: removes all 5 levels + IJV + SCM + XI nerve - rarely done now", "Modified Radical ND (MRND): all 5 levels; preserves 1-3 of IJV/SCM/XI", "Selective ND: specific levels based on primary tumour site", "Extended ND: removes additional structures (carotid, skin, XII nerve)", ]) story += sub("Indications by Primary Site") story += bullets([ "Oral cavity: levels I-III selective ND (supraomohyoid)", "Oropharynx/Larynx/Hypopharynx: levels II-IV selective ND", "Thyroid cancer: level VI (central); levels II-V if lateral nodes involved", "cN0 neck: elective ND if >20% risk of occult nodal disease (most oral cavity T2+)", ]) story += sub("Key Surgical Structures at Risk") story += bullets([ "Marginal mandibular branch of facial nerve (injury = corner of mouth droop)", "Spinal accessory nerve (XI): shoulder dysfunction; preserve if possible", "Internal jugular vein: do not ligate bilaterally simultaneously (cerebral venous hypertension)", "Hypoglossal nerve (XII); Vagus nerve; Phrenic nerve; Thoracic duct (left level IV)", ]) story += bullets(["Skip metastasis: Level II → IV directly (larynx/hypopharynx); always assess clinically + USS guided FNAC"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 7 - PENETRATING UPPER GI TRAUMA # ============================================================ story += ch_header(7, "Penetrating Trauma of the Upper GI Tract", "Upper GI Surgery", 'ugi') story += sub("Epidemiology & Assessment") story += bullets([ "Includes: oesophageal, gastric, duodenal, hepatic, splenic, pancreatic injuries", "Mechanism: stab wounds (SW) vs gunshot wounds (GSW) - GSW = higher injury burden, mortality", "FAST scan: first-line for haemoperitoneum; sensitivity 79-95% for free fluid", "Trauma CT (pan-CT): gold standard in haemodynamically stable patients", "Haemodynamically UNSTABLE: straight to theatre - resuscitative laparotomy", ]) story += sub("Damage Control Surgery (DCS)") story += flow_box([ "DAMAGE CONTROL SURGERY - Haemodynamically Unstable", "Step 1: Control haemorrhage (packing, vascular control)", "Step 2: Control contamination (staple/tie bowel ends, leave in discontinuity)", "Step 3: Temporary abdominal closure (Bogota bag / NPWT)", "ICU: resuscitate - correct lethal triad (hypothermia, acidosis, coagulopathy)", "Re-laparotomy at 24-48h: unpack, restore bowel continuity, definitive repair", ]) story += sub("Specific Organ Injuries") story += bullets([ "Oesophagus: Primary repair within 24h (over NGT) + drainage; delayed = oesophagectomy or stenting", "Gastric: Simple 2-layer repair in most cases; partial gastrectomy if extensive", "Duodenum: Grade I-II = primary repair; Grade III-IV = duodenoplasty or Whipple; pyloric exclusion for large injuries", "Liver: Perihepatic packing is mainstay for damage control; formal anatomical resection only if stable", "Pancreas: Low grade (duct intact) = drain; High grade (duct injury) = distal pancreatectomy; pancreaticoduodenectomy rarely needed acutely", ]) story += bullets(["Lethal triad: Hypothermia + Acidosis + Coagulopathy → DCS not definitive repair is the priority"], color='red') story += divider() # ============================================================ # CHAPTER 8 - RADIOTHERAPY FOR ANAL CANCER # ============================================================ story += ch_header(8, "Novel Radiotherapy for Anal Cancer", "Lower GI Surgery", 'lgi') story += sub("Background") story += bullets([ "Anal cancer: 80-85% squamous cell carcinoma; HPV 16/18 in >80% cases", "Standard of care: Chemoradiotherapy (CRT) - Nigro protocol: 5-FU + Mitomycin-C + RT 45-54 Gy", "Complete response in 80-90%; abdominoperineal resection (APR) reserved for residual/recurrent disease", "5-year survival: 70-80% overall; 50-60% for T3/T4", ]) story += sub("Novel RT Techniques") story += bullets([ "IMRT (Intensity-Modulated RT): replaces 3D-CRT; reduces dose to bowel, femoral heads, genitalia", "IMRT advantage: less acute GI toxicity (diarrhoea, dermatitis); fewer treatment breaks = better tumour control", "ACT II trial (UK): mitomycin-C = cisplatin (no difference); maintenance chemo adds no benefit", "PLATO trial (UK): dose escalation to 61.6 Gy for T3/T4 (ANALBoost substudy) - improved local control", "PET-CT: superior to CT for nodal staging; guides RT field planning", "Sentinel lymph node biopsy: investigational for cN0 disease", ]) story += bullets(["IMRT is now standard; HPV vaccination = primary prevention of anal cancer"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 9 - ANORECTAL TB # ============================================================ story += ch_header(9, "Anorectal & Perineal Manifestations of Tuberculosis", "Lower GI Surgery", 'lgi') story += sub("Epidemiology & Pathophysiology") story += bullets([ "GI TB: 2nd most common extrapulmonary TB site (after lymph nodes); rising in UK due to immigration & HIV", "Anorectal TB: rare but causes significant morbidity - fistulae, strictures, abscesses", "Route: haematogenous spread; direct spread from rectum; lymphatic spread from pelvic nodes", "Mycobacterium tuberculosis OR M. bovis (unpasteurised milk - rare now in UK)", ]) story += sub("Clinical Features & Diagnosis") story += bullets([ "Presentations: complex perianal fistula, anorectal stricture, perianal abscess, ulceration, sinus", "Often mistaken for Crohn's disease - key differentiator: TB has caseating granulomas; Crohn's has non-caseating", "Diagnosis: Biopsy showing caseating granulomas + Ziehl-Neelsen stain / PCR for MTB", "Send: TB cultures (takes 6-8 weeks), GeneXpert (rapid PCR, 2-4h), interferon-gamma release assay (IGRA)", "Chest X-ray: active pulmonary TB in only 50% of GI TB cases", ]) story += sub("Management") story += bullets([ "Anti-TB therapy: RHEZ (Rifampicin + Isoniazid + Ethambutol + Pyrazinamide) for 2 months, then RH for 4 months", "Surgery: minimal and delayed - most fistulae heal with anti-TB therapy; surgery only after 6 months ATT", "Strictures: dilatation or resection if not responding to ATT", "Paradoxical reaction: initial worsening on ATT due to immune reconstitution - continue treatment", ]) story += bullets(["Do not operate early on TB fistulae - medical treatment first; surgery only for complications after full ATT course"], color='red') story += divider() # ============================================================ # CHAPTER 10 - CROHN'S IN PREGNANCY # ============================================================ story += ch_header(10, "Surgical Considerations in Crohn's Disease & Pregnancy", "Lower GI Surgery", 'lgi') story += sub("Key Principles") story += bullets([ "Crohn's disease (CD) affects women of childbearing age significantly - 25% of CD patients are female <35 years", "Disease activity at conception is the strongest predictor of outcome: quiescent CD = similar outcomes to general population", "Active CD at conception: higher rates of preterm birth, low birth weight, spontaneous abortion", "Aim: achieve disease remission before conception; maintain remission throughout pregnancy", ]) story += sub("Medical Management in Pregnancy") story += bullets([ "SAFE: 5-ASA, azathioprine/6-MP (some risk but generally used if needed), steroids (short-term), anti-TNF (certolizumab = no placental transfer; infliximab/adalimumab can be used up to 28-30 wk)", "AVOID: methotrexate (teratogenic - stop 3-6 months before conception), thalidomide", "Biologics: stop anti-TNF at ~28-30 weeks if disease quiescent (drug-free baby at delivery); neonates exposed should not receive live vaccines for 6 months", ]) story += sub("Surgical Indications & Delivery") story += bullets([ "Surgery in pregnancy for: obstruction, perforation, abscess not responding to IV antibiotics, severe haemorrhage", "Safest window for surgery: 2nd trimester", "Perianal Crohn's: active perianal disease = indication for caesarean section (avoid sphincter damage)", "Stoma formation: may be needed; reversible after delivery", "MDT approach: gastroenterologist + colorectal surgeon + obstetrician + IBD nurse", ]) story += bullets(["Active perianal Crohn's at delivery = caesarean section; quiescent = vaginal delivery possible after discussion"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 11 - PYOGENIC LIVER ABSCESS # ============================================================ story += ch_header(11, "Pyogenic Liver Abscess", "Hepatobiliary Surgery", 'hpb') story += sub("Aetiology & Microbiology") story += bullets([ "Causes: biliary (most common ~40%): cholangitis, post-ERCP, choledocholithiasis; portal (appendicitis, diverticulitis, IBD); haematogenous; cryptogenic (15-20%)", "Organisms: E. coli, Klebsiella pneumoniae (dominant in SE Asia - hypervirulent Klebsiella - can cause metastatic endophthalmitis!), Streptococcus milleri group, Bacteroides", "Klebsiella PLA: right lobe solitary abscess, diabetic patient, SE Asian origin = high suspicion", ]) story += sub("Diagnosis") story += bullets([ "Fever + RUQ pain + hepatomegaly = classic triad", "Bloods: WBC raised, ALP markedly elevated, bilirubin elevated; blood cultures (positive 50-80%)", "USS: first-line - hypoechoic lesion; CT with contrast: better characterisation, rule out malignancy", "IMPORTANT: always exclude amoebiasis (Entamoeba histolytica) - serology, travel history; amoebic abscess usually does NOT need drainage", ]) story += sub("Management Flowchart") story += flow_box([ "Suspected PLA: USS/CT + Blood cultures + Bloods", "Small (<3-5cm), no sepsis: IV antibiotics alone (pip-tazo or cefuroxime + metronidazole)", "Large (>5cm) or septic: Percutaneous needle aspiration or drainage (IR-guided)", "Failed percutaneous: Surgical drainage (laparoscopic or open)", "Duration: IV antibiotics 2-4 weeks → oral to complete 4-6 weeks total", "Treat underlying cause: ERCP if biliary, colonoscopy if portal source", ]) story += bullets(["Exclude amoebic abscess before surgery - treated medically with metronidazole alone", "Hypervirulent Klebsiella: check eye exam - metastatic endophthalmitis can occur"], color='red') story += divider() # ============================================================ # CHAPTER 12 - THORACIC OUTLET SYNDROME # ============================================================ story += ch_header(12, "Thoracic Outlet Syndrome", "Vascular Surgery", 'vasc') story += sub("Definition & Types") story += bullets([ "TOS: compression of neurovascular structures at the thoracic outlet (between clavicle, 1st rib, scalene muscles)", "Neurogenic TOS (nTOS): 95% - compression of brachial plexus (C8-T1); pain, paraesthesia, weakness in arm/hand", "Vascular TOS: Arterial (aTOS 1%): subclavian artery compression, aneurysm, embolism; Venous (vTOS 4%): Paget-Schroetter - effort thrombosis", "Causes: cervical rib (present in 0.5-1% of population; only 10% symptomatic), fibromuscular bands, scalene hypertrophy, trauma", ]) story += sub("Diagnosis") story += bullets([ "nTOS: clinical diagnosis; Adson's test, ROOS (stress) test, elevated arm stress test; EMG/nerve conduction", "aTOS: duplex USS; CT angiography; arteriography for intervention planning", "vTOS: duplex USS (first-line); MR venography; venography if intervention planned", "CXR: cervical rib; CT/MRI for soft tissue anatomy", ]) story += sub("Management") story += bullets([ "nTOS: physiotherapy (scalene stretching, posture) for 3-6 months first; surgery if failed (first rib resection ± cervical rib)", "aTOS: surgical decompression + subclavian artery reconstruction (patch/bypass) ± thrombolysis for distal embolism", "vTOS (Paget-Schroetter): CDT (catheter-directed thrombolysis) → anticoagulation → first rib resection at 4-6 weeks → venoplasty if residual stenosis", "First rib resection: transaxillary approach (most common) or supraclavicular; decompresses all three types", ]) story += bullets(["Paget-Schroetter = effort thrombosis of axillary/subclavian vein in young athletes - CDT + first rib resection"], color='red') story += divider() story.append(PageBreak()) # ============================================================ # CHAPTER 13 - 3D PRINTING # ============================================================ story += ch_header(13, "3D Printing in Surgery", "Innovation in Surgery", 'innov') story += sub("Technology Overview") story += bullets([ "Additive manufacturing: builds 3D objects layer by layer from digital files (STL format from DICOM CT/MRI data)", "Materials: PLA plastic (anatomical models), titanium (implants), silicone (prosthetics), bioinks (bioprinting)", "Resolution down to 50-100 microns; full-colour printing now possible", "Cost: desktop printers from £300; industrial metal printers £250,000+; materials ongoing cost", ]) story += sub("Surgical Applications") story += bullets([ "Pre-operative planning: patient-specific 3D models (hepatic anatomy, complex fractures, aortic aneurysm morphology)", "Custom implants: titanium craniofacial plates, acetabular cups, mandibular reconstruction plates", "Surgical guides: cutting guides for knee replacement, osteotomy guides", "Simulation and training: realistic anatomical models for practice and consent discussions", "Bioprinting: printing with living cells (bioinks); scaffolds for cartilage, bladder, trachea - mostly experimental", "Education: patient-specific models for consent; student teaching; anatomy education", ]) story += sub("Current Evidence & Limitations") story += bullets([ "Strong evidence for: craniofacial surgery, orthopaedic guides, pre-op planning complex cases (reduced OR time)", "Limitations: regulatory hurdles (MHRA/FDA classification), sterilisation, material degradation, cost-effectiveness unproven for routine use", "Bioprinting: vascularisation remains unsolved; no clinically implanted fully bioprinted organ yet", ]) story += bullets(["3D printing reduces operative time and improves accuracy in complex reconstructive cases; standard of care in craniofacial surgery"], color='red') story += divider() # ============================================================ # CHAPTER 14 - RECENT RCTs # ============================================================ story += ch_header(14, "Review of Recent RCTs in Surgery", "Clinical Trials", 'trial') story += sub("Key Recent Surgical RCTs Covered") story += bullets([ "HAMLET trial: Hartmann's procedure vs primary anastomosis for perforated diverticulitis - PA + defunctioning stoma NON-INFERIOR to Hartmann's in haemodynamically stable patients", "RECOVERY trial: Dexamethasone 6mg/day for 10 days reduced COVID-19 mortality by 35% in ventilated patients", "LASER trial: laparoscopic vs open sigmoid colectomy for diverticular disease - laparoscopic = less morbidity, shorter stay", "NELA data: emergency laparotomy mortality 9.4% UK overall; HDU/ICU admission post-op reduces mortality", "CREST trial (UK): carotid endarterectomy vs stenting - CEA superior for >70% stenosis in symptomatic patients >70 years; CAS acceptable <70 years", "TICH-2: tranexamic acid for intracerebral haemorrhage - no mortality benefit", "RECON trial: enhanced recovery after surgery (ERAS) - reduces LOS by 2-3 days without increasing complications", ]) story += sub("Principles of Interpreting RCTs") story += bullets([ "Randomisation: reduces selection bias; allocation concealment prevents performance bias", "Intention-to-treat (ITT) analysis: preferred - analyses all randomised patients regardless of protocol deviation", "CONSORT checklist: standard for reporting RCTs", "NNT (Number Needed to Treat) and NNH (Number Needed to Harm): clinically meaningful measures", "P-value <0.05 = statistically significant; 95% CI not crossing 1.0 for RR/OR = significant", "GRADE: used to assess quality of evidence (High/Moderate/Low/Very Low)", ]) story += bullets(["HAMLET trial key message: primary anastomosis is NOT inferior to Hartmann's for perforated diverticulitis in stable patients - reduces stoma burden"], color='red') # Footer story.append(Spacer(1, 0.4*cm)) story.append(HRFlowable(width=IMG_W, thickness=1, color=colors.HexColor('#1a3c5e'))) story.append(Paragraph("Compiled by Orris AI from: Recent Advances in Surgery Vol. 39 (Hargest & Douek) · Dr. Vaishnavi · July 2026", footer_s)) doc.build(story) print("PDF built successfully!") PYEOF

python3 -c " from pypdf import PdfReader r = PdfReader('/tmp/workspace/omentum-pdf/RAS39_Crisp_Summary.pdf') print(f'Pages: {len(r.pages)}') "

cd /tmp/workspace/omentum-pdf && python3 - << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, PageBreak, KeepTogether, Frame) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_RIGHT from reportlab.platypus.flowables import Flowable import math PAGE_W, PAGE_H = A4 MARGIN = 1.2*cm IMG_W = PAGE_W - 2*MARGIN # Card dimensions - two cards per page (landscape-style half A4) CARD_W = IMG_W CARD_H = (PAGE_H - 2*MARGIN - 0.5*cm) / 2 # two per page doc = SimpleDocTemplate( "RAS39_Flashcards.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() # Styles cover_title = ParagraphStyle('CT', fontSize=26, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=6) cover_sub = ParagraphStyle('CS', fontSize=11, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=4) # Card styles ch_num_s = ParagraphStyle('CN', fontSize=10, fontName='Helvetica-Bold', textColor=colors.white, alignment=TA_LEFT) ch_title_s= ParagraphStyle('CTL', fontSize=13, fontName='Helvetica-Bold', textColor=colors.white, alignment=TA_LEFT, spaceAfter=0) section_s = ParagraphStyle('SC', fontSize=8, fontName='Helvetica-Oblique', textColor=colors.HexColor('#cce0ff'), alignment=TA_LEFT) q_label_s = ParagraphStyle('QL', fontSize=8, fontName='Helvetica-Bold', textColor=colors.HexColor('#888888'), spaceAfter=2) q_s = ParagraphStyle('QS', fontSize=9.5, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), leading=13, spaceAfter=4) ans_label_s=ParagraphStyle('AL', fontSize=8, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a7a4a'), spaceAfter=2) ans_s = ParagraphStyle('AS', fontSize=9, fontName='Helvetica', textColor=colors.HexColor('#2d2d2d'), leading=13, spaceAfter=3) bullet_s = ParagraphStyle('BL', fontSize=8.5, fontName='Helvetica', leading=12, leftIndent=10, textColor=colors.HexColor('#2d2d2d'), spaceAfter=2) pearl_s = ParagraphStyle('PL', fontSize=8.5, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), leading=12, spaceAfter=2, backColor=colors.HexColor('#fff8f0'), leftIndent=6) footer_s = ParagraphStyle('F', fontSize=7, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER) def b(t): return Paragraph(f"\u2022 {t}", bullet_s) def p(t): return Paragraph(f"\u26a1 {t}", pearl_s) CHAPTER_COLORS = [ '#1a3c5e','#2c4f8c','#2c6f2c','#6b1f6b','#8b2870', '#7b3a1a','#1a6b9a','#2c6f6f','#1a5a3a','#4a4a00', '#5a2000','#4a0060','#005a3c','#3a3a3a', ] def make_card(ch_num, ch_title, section, questions_answers, pearl_text, color_hex): """Build one flashcard as a Table that fits in half-page height.""" bg = colors.HexColor(color_hex) # Header row header_content = [ [Paragraph(f"CHAPTER {ch_num}", ch_num_s), Paragraph(section, section_s)], ] header_table = Table(header_content, colWidths=[CARD_W*0.5, CARD_W*0.5]) header_table.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,-1), bg), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),2), ('LEFTPADDING',(0,0),(-1,-1),8),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(1,0),(1,0),'RIGHT'), ('RIGHTPADDING',(1,0),(1,0),8), ])) title_row = Table([[Paragraph(ch_title, ch_title_s)]], colWidths=[CARD_W]) title_row.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,-1), bg), ('TOPPADDING',(0,0),(-1,-1),2),('BOTTOMPADDING',(0,0),(-1,-1),6), ('LEFTPADDING',(0,0),(-1,-1),8), ])) # Body body_items = [] for q, answers in questions_answers: body_items.append(Paragraph(q, q_s)) for ans in answers: body_items.append(b(ans)) body_items.append(Spacer(1, 0.1*cm)) # Pearl body_items.append(HRFlowable(width=CARD_W-1*cm, thickness=0.5, color=colors.HexColor('#ddaa00'), spaceAfter=3)) body_items.append(p(pearl_text)) body_table = Table([[body_items]], colWidths=[CARD_W]) body_table.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,-1), colors.HexColor('#fafbfc')), ('TOPPADDING',(0,0),(-1,-1),6),('BOTTOMPADDING',(0,0),(-1,-1),6), ('LEFTPADDING',(0,0),(-1,-1),8),('RIGHTPADDING',(0,0),(-1,-1),8), ('BOX',(0,0),(-1,-1),1.5, bg), ])) outer = Table([ [header_table], [title_row], [body_table], ], colWidths=[CARD_W]) outer.setStyle(TableStyle([ ('BOX',(0,0),(-1,-1),2, bg), ('TOPPADDING',(0,0),(-1,-1),0),('BOTTOMPADDING',(0,0),(-1,-1),0), ('LEFTPADDING',(0,0),(-1,-1),0),('RIGHTPADDING',(0,0),(-1,-1),0), ])) return outer # ====================================================================== # Define all 14 chapter cards # ====================================================================== chapters = [ # (num, title, section, [(Q, [answers...]),...], pearl, color) (1, "Necrotizing Fasciitis", "Surgery in General", [ ("What is NF & why is it a surgical emergency?", ["Life-threatening fascia/subcutaneous infection - progresses within hours", "Mortality 20-35%; delay = key driver of death", "Synonyms: Fournier's (perineum), Ludwig's (submandibular)"]), ("Classification?", ["Type I (90%): Polymicrobial - E.coli, Bacteroides, Clostridia; elderly/diabetic", "Type II: Monomicrobial - Grp A Strep / MRSA; healthy, trivial trauma", "Type III: Vibrio vulnificus (marine); Type IV: Fungal (Candida/Zygomycetes)"]), ("Diagnosis & LRINEC score?", ["Finger sweep test: finger passes easily between fascial planes = positive", "LRINEC ≥6 = NF (CRP>150, WBC>15, Na<135, Glucose>10, Hb<13.5, Cr>141)", "CT: gas tracking fascial planes - gold standard imaging"]), ("Management steps?", ["Resus → IV Pip-Tazo + Clindamycin + Metro → Emergency debridement", "Return to theatre 24-48h for re-look; HDU/ICU", "IVIG if Group A Streptococcal toxic shock syndrome"]), ], "NEVER delay surgery waiting for investigations in suspected NF - clinical diagnosis!", CHAPTER_COLORS[0]), (2, "Litigation and How to Avoid It", "Surgery in General", [ ("3 elements of negligence?", ["Duty of care + Breach of duty + Causation of harm (all 3 required)", "Bolam (1957): standard of reasonable body of medical opinion", "Bolitho (1997): must be logically defensible", "Montgomery (2015): disclose ALL material risks patient would want to know"]), ("Most common surgical claims?", ["Wrong site / patient / procedure", "Failure to diagnose / delayed diagnosis", "Inadequate consent (post-Montgomery)", "Retained instruments/swabs"]), ("How to protect yourself?", ["Document everything contemporaneously - 'not written = didn't happen'", "Consent: discuss all material risks; use decision aids; document discussion", "Duty of Candour (2014): statutory obligation to be open when things go wrong", "WHO SSC compliance prevents never events"]), ], "Montgomery (2015) changed consent: disclose what the PATIENT considers material - not just what the surgeon thinks is important", CHAPTER_COLORS[1]), (3, "Surgical Skills: Novice to Master", "Training in Surgery", [ ("Dreyfus 5-stage model?", ["Novice → Advanced Beginner → Competent → Proficient → Expert", "Novice: rule-based; Expert: intuitive, effortless, contextual"]), ("Deliberate practice principles?", ["Structured, focused repetition with immediate feedback (Ericsson)", "Quality > quantity; mental rehearsal equally important", "Train to PROFICIENCY standard, not to a time/number target (PBP)"]), ("Simulation tools in surgery?", ["Box trainers: laparoscopic basic skills; cheap, effective", "VR simulators: metrics-based, validated transfer to OR", "OSATS: global rating scale for open skills assessment", "DOPS: real-time clinical assessment tool"]), ("Zwisch model of supervision?", ["Show & Tell → Active help → Passive help → Supervision only"]), ], "Proficiency-Based Progression (PBP) = train to a standard, not a number - superior to time-based training (RCS guidance)", CHAPTER_COLORS[2]), (4, "Margins in Breast Cancer Surgery", "Breast Surgery", [ ("Current margin standard?", ["IDC (invasive): 'No ink on tumour' - SSO-ASTRO-COBES 2014", "DCIS: 2mm margin - SSO-ASTRO 2016", "Re-excision rate: 20-30% in most centres - major QI target"]), ("Intraoperative margin techniques?", ["Specimen radiology (2D/3D): standard; guides same-sitting re-excision", "Cavity Shave Margins (CSM): reduces re-excision by ~50% (SHAVE trial)", "MarginProbe: radiofrequency spectroscopy - real-time, RCT validated", "Intraoperative USS: surgeon-guided margin improvement"]), ("New technologies?", ["ClearEdge/LUM: fluorescence imaging of margin", "AI-assisted frozen section analysis", "3D specimen imaging: real-time 3D reconstruction"]), ], "Cavity Shave Margins (CSM) reduce re-excision rates by ~50% - consider in all BCS cases", CHAPTER_COLORS[3]), (5, "Lobular Carcinoma In Situ (LCIS)", "Breast Surgery", [ ("Classification?", ["Classic LCIS (cLCIS): low-grade; risk marker AND non-obligate precursor", "Pleomorphic LCIS (pLCIS): high-grade, necrosis; treat like DCIS", "Florid LCIS: mass-forming, calcifications; intermediate risk", "Key IHC: E-cadherin NEGATIVE (vs DCIS: E-cadherin positive)"]), ("Risk & management of cLCIS?", ["8-10x increased lifetime breast cancer risk", "Found on core biopsy: excision recommended (upgrade rate 0-3.7%)", "Annual mammogram ± MRI surveillance", "Chemoprevention: Tamoxifen (pre-meno) or Raloxifene/AI (post-meno) - reduces risk ~50%"]), ("pLCIS management?", ["Treat like DCIS: wide local excision to 2mm margins", "MDT discussion; consider adjuvant tamoxifen", "Bilateral prophylactic mastectomy for high-risk (BRCA + pLCIS)"]), ], "pLCIS = high-risk lesion; E-cadherin NEGATIVE distinguishes ALL lobular lesions from ductal (DCIS)", CHAPTER_COLORS[4]), (6, "Neck Dissection in H&N Cancers", "Head & Neck Surgery", [ ("Lymph node levels (AAO-HNS)?", ["I: Submental (Ia) + Submandibular (Ib)", "II: Upper jugular (IIa anterior, IIb posterior to XI nerve)", "III: Middle jugular; IV: Lower jugular", "V: Posterior triangle; VI: Central compartment; VII: Superior mediastinal"]), ("Types of neck dissection?", ["Radical ND: all 5 levels + IJV + SCM + CN XI (rarely done now)", "MRND: all 5 levels, preserves 1-3 of IJV/SCM/CN XI", "Selective ND: site-specific levels (oral cavity = I-III; larynx = II-IV)"]), ("Critical structures at risk?", ["Marginal mandibular branch (VII): corner-of-mouth droop if injured", "CN XI (spinal accessory): shoulder dysfunction", "Thoracic duct: left level IV - chyle leak", "Phrenic nerve; Hypoglossal (XII); Vagus (X)"]), ], "cN0 neck + >20% risk of occult nodes (most T2+ oral cavity) = elective selective ND - do not leave untreated neck", CHAPTER_COLORS[5]), (7, "Penetrating Upper GI Trauma", "Upper GI Surgery", [ ("Initial assessment?", ["Haemodynamically unstable → immediate laparotomy (no CT)", "Stable → trauma CT (pan-CT) gold standard", "FAST: first-line for haemoperitoneum; 79-95% sensitivity"]), ("Damage Control Surgery (DCS)?", ["Step 1: Haemorrhage control (pack, vascular control)", "Step 2: Contamination control (staple bowel, close loops)", "Step 3: Temporary abdominal closure → ICU resuscitation", "Correct lethal triad: Hypothermia + Acidosis + Coagulopathy", "Re-laparotomy 24-48h: unpack, restore continuity, definitive repair"]), ("Organ-specific pearls?", ["Oesophagus: repair within 24h + drain; delayed = stent/oesophagectomy", "Liver: perihepatic packing = DCS mainstay; no formal resection unless stable", "Pancreas: duct intact = drain only; duct injury = distal pancreatectomy"]), ], "LETHAL TRIAD = Hypothermia + Acidosis + Coagulopathy → DCS is the priority; definitive repair only when stable", CHAPTER_COLORS[6]), (8, "Novel Radiotherapy for Anal Cancer", "Lower GI Surgery", [ ("Standard treatment?", ["Nigro protocol: 5-FU + Mitomycin-C + RT 45-54 Gy", "Complete response: 80-90%; APR only for residual/recurrent disease", "HPV 16/18 in >80%; HPV vaccination = primary prevention"]), ("IMRT advantages?", ["Intensity-Modulated RT: replaces 3D-CRT as standard", "Reduces dose to bowel, femoral heads, genitalia", "Less acute toxicity, fewer treatment breaks → better tumour control"]), ("Key trials?", ["ACT II (UK): Mitomycin-C = Cisplatin; no benefit from maintenance chemo", "PLATO/ANALBoost: dose escalation 61.6 Gy for T3/T4 improves local control", "PET-CT: superior to CT for nodal staging and RT field planning"]), ], "IMRT is now standard for anal cancer CRT; APR = salvage for non-responders only - not primary treatment", CHAPTER_COLORS[7]), (9, "Anorectal & Perineal TB", "Lower GI Surgery", [ ("Why important in surgical practice?", ["Rising incidence in UK due to immigration and HIV", "Often misdiagnosed as Crohn's disease - key clinical mimic", "Caseating granulomas (TB) vs non-caseating granulomas (Crohn's)"]), ("Diagnosis?", ["Biopsy: caseating granulomas + ZN stain for AFB + PCR (GeneXpert)", "GeneXpert: rapid PCR result in 2-4 hours", "IGRA (Interferon-gamma release assay): latent TB detection", "CXR: pulmonary TB in only 50% of GI TB cases"]), ("Management?", ["RHEZ x 2 months → RH x 4 months (total 6 months ATT)", "Surgery: delayed - only after failed ATT or complications (stricture)", "Most TB fistulae HEAL with ATT alone", "Paradoxical reaction: worsening on ATT = immune reconstitution - continue"]), ], "DO NOT operate early on TB fistulae - full 6-month ATT first; surgery only for complications", CHAPTER_COLORS[8]), (10, "Crohn's Disease & Pregnancy", "Lower GI Surgery", [ ("Key principle?", ["Disease activity at conception = strongest predictor of pregnancy outcome", "Quiescent CD → similar outcomes to general population", "Active CD → preterm birth, low birth weight, spontaneous abortion"]), ("Drugs safe in pregnancy?", ["SAFE: 5-ASA, azathioprine, short-term steroids, anti-TNF to 28-30 weeks", "Certolizumab: NO placental transfer - safest anti-TNF in late pregnancy", "AVOID: Methotrexate (teratogenic) - stop 3-6 months before conception"]), ("Surgical & delivery considerations?", ["Surgery safest in 2nd trimester (emergency only)", "Perianal Crohn's active at delivery = CAESAREAN SECTION", "MDT: gastroenterologist + colorectal surgeon + obstetrician + IBD nurse", "Neonates exposed to anti-TNF: no live vaccines for 6 months"]), ], "Active perianal Crohn's at delivery = always caesarean section to protect sphincter", CHAPTER_COLORS[9]), (11, "Pyogenic Liver Abscess", "Hepatobiliary Surgery", [ ("Causes & organisms?", ["Biliary (40%): cholangitis, post-ERCP, CBD stones - most common", "Portal: appendicitis, diverticulitis, IBD", "Organisms: E.coli, Klebsiella pneumoniae, Strep milleri, Bacteroides", "Hypervirulent Klebsiella: solitary right lobe abscess, diabetic, SE Asian"]), ("Diagnosis?", ["Fever + RUQ pain + hepatomegaly (classic triad)", "Bloods: WBC raised, ALP markedly elevated", "USS first-line; CT with contrast for characterisation", "ALWAYS exclude amoebic abscess (serology, travel history)"]), ("Management?", ["Small (<3-5cm), no sepsis: IV antibiotics alone", "Large (>5cm) or septic: IR-guided percutaneous drainage", "Failed percutaneous → surgical drainage (laparoscopic/open)", "Duration: IV abx 2-4 weeks → oral 4-6 weeks total"]), ], "Hypervirulent Klebsiella PLA: check eyes - metastatic endophthalmitis can occur; Amoebic abscess = metronidazole ONLY (no drainage)", CHAPTER_COLORS[10]), (12, "Thoracic Outlet Syndrome", "Vascular Surgery", [ ("Three types?", ["nTOS (95%): brachial plexus C8-T1 compression; pain, paraesthesia, weak hand", "aTOS (1%): subclavian artery; aneurysm, distal embolism, ischaemia", "vTOS (4%): Paget-Schroetter = effort thrombosis in young athlete"]), ("Causes & diagnosis?", ["Cervical rib (0.5-1% population; 10% symptomatic), fibromuscular bands", "nTOS: ROOS test, Adson's test, EMG/nerve conduction", "aTOS: CT angiography; vTOS: duplex USS + venography"]), ("Management?", ["nTOS: physio 3-6 months first; then first rib resection (transaxillary)", "aTOS: decompression + subclavian artery reconstruction", "vTOS: CDT (catheter-directed thrombolysis) → anticoag → first rib resection at 4-6 weeks → venoplasty"]), ], "Paget-Schroetter = EFFORT THROMBOSIS: CDT + first rib resection = definitive; do NOT just anticoagulate", CHAPTER_COLORS[11]), (13, "3D Printing in Surgery", "Innovation in Surgery", [ ("How does it work?", ["DICOM (CT/MRI) → STL file → additive manufacturing layer by layer", "Materials: PLA plastic (models), titanium (implants), silicone, bioinks", "Resolution: 50-100 microns; full-colour printing available"]), ("Surgical applications?", ["Pre-op planning: patient-specific 3D models (liver, aorta, fractures)", "Custom implants: titanium craniofacial plates, acetabular cups", "Surgical cutting guides: knee arthroplasty, osteotomies", "Training & consent: realistic patient-specific anatomy models", "Bioprinting: scaffolds for cartilage, bladder - mostly experimental"]), ("Evidence & limitations?", ["Strong evidence: craniofacial surgery, orthopaedics (reduces OR time)", "Limitations: MHRA/FDA regulation, sterilisation, cost-effectiveness", "Bioprinting barrier: vascularisation unsolved; no fully printed organ yet"]), ], "3D printing reduces OR time in complex reconstructive cases; standard of care in craniofacial surgery; bioprinting = future", CHAPTER_COLORS[12]), (14, "Recent RCTs in Surgery", "Clinical Trials", [ ("Key trials to know?", ["HAMLET: Primary anastomosis = NON-INFERIOR to Hartmann's for perforated diverticulitis in stable patients", "ACT II: Mitomycin-C = Cisplatin for anal cancer CRT; no maintenance chemo benefit", "CREST: CEA superior to carotid stenting in symptomatic >70% stenosis, age >70", "RECOVERY: Dexamethasone 6mg x10 days: 35% mortality reduction in ventilated COVID-19"]), ("RCT interpretation principles?", ["ITT (Intention-to-treat): all randomised patients included - preferred analysis", "NNT / NNH: most clinically meaningful metrics", "95% CI not crossing 1.0 (for RR/OR) = statistically significant", "P<0.05 = significant; GRADE rates quality of evidence (High→Very Low)"]), ("Surgical quality improvement?", ["NELA: emergency laparotomy mortality 9.4% UK; HDU/ICU post-op reduces mortality", "ERAS (enhanced recovery): reduces LOS by 2-3 days (RECON trial)"]), ], "HAMLET trial: Primary anastomosis ± defunctioning stoma = non-inferior to Hartmann's - reduces permanent stoma burden", CHAPTER_COLORS[13]), ] # ====================================================================== story = [] # COVER PAGE story.append(Spacer(1, 1.5*cm)) cover_box = Table([[ Paragraph("Recent Advances in Surgery", ParagraphStyle('ci', fontSize=14, fontName='Helvetica-Oblique', textColor=colors.HexColor('#aac4de'), alignment=TA_CENTER)), ]], colWidths=[IMG_W]) cover_box.setStyle(TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor('#1a3c5e')), ('TOPPADDING',(0,0),(-1,-1),8),('BOTTOMPADDING',(0,0),(-1,-1),8)])) story.append(cover_box) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("FLASHCARD DECK", cover_title)) story.append(Paragraph("Volume 39 | 14 Chapters | Quick Revision Cards", cover_sub)) story.append(Spacer(1, 0.4*cm)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#1a3c5e'), spaceAfter=10)) # Index card idx_rows = [[ Paragraph('Ch', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), Paragraph('Topic', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), Paragraph('Section', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), Paragraph('Color', ParagraphStyle('ih', fontName='Helvetica-Bold', fontSize=8, textColor=colors.white)), ]] section_labels = [ "Surgery in General","Surgery in General","Training","Breast","Breast", "Head & Neck","Upper GI","Lower GI","Lower GI","Lower GI", "Hepatobiliary","Vascular","Innovation","Clinical Trials" ] titles_short = [ "Necrotizing Fasciitis","Litigation","Surgical Skills Acquisition", "Breast Cancer Margins","LCIS","Neck Dissection", "Penetrating Upper GI Trauma","Radiotherapy - Anal Cancer","Anorectal TB", "Crohn's & Pregnancy","Pyogenic Liver Abscess","Thoracic Outlet Syndrome", "3D Printing in Surgery","Recent RCTs Review" ] for i,(t,s,c) in enumerate(zip(titles_short, section_labels, CHAPTER_COLORS)): color_swatch = Table([[' ']], colWidths=[0.5*cm]) color_swatch.setStyle(TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor(c)), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4)])) idx_rows.append([str(i+1), t, s, color_swatch]) idx_t = Table(idx_rows, colWidths=[0.8*cm, 8.5*cm, 4*cm, 0.8*cm]) idx_t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0), colors.HexColor('#1a3c5e')), ('TEXTCOLOR',(0,0),(-1,0), colors.white), ('FONTSIZE',(0,0),(-1,-1),8), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#f0f4fa'),colors.white]), ('GRID',(0,0),(-1,-1),0.3,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),3),('BOTTOMPADDING',(0,0),(-1,-1),3), ('LEFTPADDING',(0,0),(-1,-1),5),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ])) story.append(idx_t) story.append(Spacer(1, 0.3*cm)) story.append(Paragraph("Dr. Vaishnavi | General Surgery Residency | Compiled by Orris AI | July 2026", footer_s)) # TWO CARDS PER PAGE for i in range(0, len(chapters), 2): story.append(PageBreak()) ch1 = chapters[i] card1 = make_card(*ch1) story.append(card1) story.append(Spacer(1, 0.5*cm)) if i+1 < len(chapters): ch2 = chapters[i+1] card2 = make_card(*ch2) story.append(card2) doc.build(story) print("Flashcard PDF built successfully!") from pypdf import PdfReader r = PdfReader("/tmp/workspace/omentum-pdf/RAS39_Flashcards.pdf") print(f"Total pages: {len(r.pages)}") PYEOF

cd /tmp/workspace/omentum-pdf && python3 - << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, PageBreak, KeepTogether) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "RAS39_10Mark_Answers.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=20, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=10) ch_s = ParagraphStyle('CH', fontSize=14, fontName='Helvetica-Bold', textColor=colors.white) q_s = ParagraphStyle('QS', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), spaceBefore=4, spaceAfter=6) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=4, alignment=TA_JUSTIFY) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=16, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) subbul_s = ParagraphStyle('SBL',fontSize=9.5, fontName='Helvetica', leading=13, leftIndent=30, textColor=colors.HexColor('#3d3d3d'), spaceAfter=2) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), leading=14, spaceAfter=4, backColor=colors.HexColor('#fff3f0'), leftIndent=8) caption_s = ParagraphStyle('CP', fontSize=9, fontName='Helvetica-Oblique', textColor=colors.HexColor('#555'), alignment=TA_CENTER, spaceAfter=6) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER) marks_s = ParagraphStyle('MK', fontSize=9, fontName='Helvetica-Bold', textColor=colors.HexColor('#2c6fad'), alignment=TA_RIGHT) CHAPTER_COLORS = [ '#1a3c5e','#2c4f8c','#1a5a1a','#6b1f6b','#8b2870', '#7b3a1a','#1a6b9a','#1a6b6b','#1a5a3a','#5a4a00', '#5a2000','#4a0060','#005a3c','#3a3a3a', ] def th(t, fs=9): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=fs, textColor=colors.white)) def ch_header(num, title, section, color_hex, marks="10 Marks"): bg = colors.HexColor(color_hex) return [ Spacer(1, 0.3*cm), Table([[ Paragraph(f"Chapter {num} | {section}", ParagraphStyle('cs', fontSize=8, fontName='Helvetica-Oblique', textColor=colors.HexColor('#bbccee'))), Paragraph(marks, ParagraphStyle('mk', fontSize=9, fontName='Helvetica-Bold', textColor=colors.HexColor('#ffd700'), alignment=TA_RIGHT)), ]], colWidths=[IMG_W*0.75, IMG_W*0.25], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),bg), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),2), ('LEFTPADDING',(0,0),(-1,-1),10),('RIGHTPADDING',(1,0),(1,0),10)])), Table([[Paragraph(title, ch_s)]], colWidths=[IMG_W], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),bg), ('TOPPADDING',(0,0),(-1,-1),2),('BOTTOMPADDING',(0,0),(-1,-1),8), ('LEFTPADDING',(0,0),(-1,-1),10)])), Spacer(1, 0.2*cm), ] def sec(title): return Paragraph(title, sub_s) def para(t): return Paragraph(t, body_s) def bul(t): return Paragraph(f"\u2022 {t}", bullet_s) def sbul(t): return Paragraph(f"\u25e6 {t}", subbul_s) def pearl(t): return Paragraph(f"\u26a1 EXAM PEARL: {t}", hl_s) def make_table(headers, rows, col_widths=None, hbg='#1a3c5e'): data = [headers] + rows if not col_widths: col_widths = [IMG_W/len(headers)]*len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0), colors.HexColor(hbg)), ('TEXTCOLOR',(0,0),(-1,0), colors.white), ('FONTNAME',(0,0),(-1,0), 'Helvetica-Bold'), ('FONTSIZE',(0,0),(-1,-1), 9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#f0f4ff'),colors.white]), ('GRID',(0,0),(-1,-1),0.4, colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),6),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER'), ])) return t def divider(): return HRFlowable(width=IMG_W, thickness=0.8, color=colors.HexColor('#c8d8ee'), spaceAfter=4, spaceBefore=4) # ====================================================================== story = [] # COVER story.append(Spacer(1, 0.5*cm)) story.append(Paragraph("Recent Advances in Surgery - Vol. 39", title_s)) story.append(Paragraph("KNRUHS Final Exam Preparation | Detailed 10-Mark Answers | All 14 Chapters", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#1a3c5e'), spaceAfter=8)) story.append(Paragraph("Dr. Vaishnavi | General Surgery | KNRUHS Final Year | Compiled by Orris AI | July 2026", footer_s)) story.append(Spacer(1, 0.4*cm)) # Chapter index story.append(sec("Chapter Index")) chapters_list = [ (1,"Necrotizing Fasciitis","Surgery in General"), (2,"Litigation and How to Avoid It","Surgery in General"), (3,"Surgical Skills Acquisition: Novice to Master","Training in Surgery"), (4,"Assessment of Margins in Breast Cancer Surgery","Breast Surgery"), (5,"Lobular Carcinoma In Situ (LCIS)","Breast Surgery"), (6,"Neck Dissection in Head & Neck Cancers","Head & Neck Surgery"), (7,"Penetrating Trauma of the Upper GI Tract","Upper GI Surgery"), (8,"Novel Radiotherapy Techniques for Anal Cancer","Lower GI Surgery"), (9,"Anorectal & Perineal Manifestations of Tuberculosis","Lower GI Surgery"), (10,"Surgical Considerations in Crohn's Disease & Pregnancy","Lower GI Surgery"), (11,"Pyogenic Liver Abscess","Hepatobiliary Surgery"), (12,"Thoracic Outlet Syndrome","Vascular Surgery"), (13,"3D Printing in Surgery","Innovation in Surgery"), (14,"Recent RCTs in Surgery","Clinical Trials"), ] idx_data = [[th('Ch'), th('Topic'), th('Section')]] for c,t,s in chapters_list: idx_data.append([str(c), t, s]) idx_t = Table(idx_data, colWidths=[1*cm, 10.5*cm, 4.5*cm]) idx_t.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,0),colors.HexColor('#1a3c5e')), ('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.3,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4), ('LEFTPADDING',(0,0),(-1,-1),5),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ])) story.append(idx_t) # ====================================================================== # CHAPTER 1 - NECROTIZING FASCIITIS # ====================================================================== story.append(PageBreak()) story += ch_header(1, "Necrotizing Fasciitis", "Surgery in General", CHAPTER_COLORS[0]) story.append(Paragraph("Q. Write a detailed note on Necrotizing Fasciitis.", q_s)) story.append(sec("Introduction")) story.append(para("Necrotizing fasciitis (NF) is a rapidly progressive, life-threatening soft tissue infection that spreads along the superficial fascia and subcutaneous tissue. It is a surgical emergency that demands immediate recognition, aggressive resuscitation and urgent surgical debridement. Delay in surgical intervention is the single most important factor increasing mortality, which ranges from 20-35% even in well-managed cases. The condition is often misdiagnosed early, and a high index of suspicion is essential.")) story.append(sec("Historical Context")) story.append(para("The first description of NF is attributed to Hippocrates in 400 BC. The condition was described in English by Leonard Gillespie in the 18th century as 'hospital gangrene.' The term 'necrotizing fasciitis' was coined by Wilson in 1952, who recognised fascial necrosis as the hallmark of the disease. Fournier's gangrene (perineal NF) was described by Jean Alfred Fournier in 1883.")) story.append(sec("Classification (Giuliano Classification)")) story.append(make_table( [th('Type'), th('Microbiology'), th('Patient Profile'), th('Key Features')], [ ['Type I\n(90%)', 'Polymicrobial: aerobic + anaerobic synergy (E.coli, Bacteroides, Clostridium, Streptococcus, Enterococcus)', 'Elderly, diabetic, immunocompromised, post-abdominal surgery, IV drug users', 'Gas-forming; "gas gangrene" historically; most common type'], ['Type II\n(Monomicrobial)', 'Group A beta-haemolytic Streptococcus (GAS), MRSA, Staphylococcus aureus', 'Healthy, young; trivial trauma or no trauma', 'Toxic shock syndrome common; rapid progression; M proteins evade immunity'], ['Type III', 'Marine Gram-negative organisms: Vibrio vulnificus, Aeromonas', 'Seawater exposure, fish handlers, liver disease', 'Post-marine injury; haemorrhagic bullae; rapidly fatal in liver disease'], ['Type IV', 'Fungal: Zygomycetes (Mucor), Candida', 'Burns, immunocompromised, post-traumatic', 'Rapidly progressive; poor prognosis; suspect in non-improving Type I'], ], col_widths=[1.8*cm, 5.2*cm, 4*cm, 5*cm] )) story.append(sec("Pathophysiology")) story.append(para("Following tissue inoculation, bacteria proliferate in the relatively avascular fascial plane. Aerobic bacteria consume oxygen, creating a hypoxic environment that facilitates anaerobic bacterial proliferation. Anaerobic bacteria produce hydrogen, nitrogen, carbon dioxide, and hydrogen sulfide gases, accounting for crepitus and gas on imaging. The fascia is particularly susceptible given its poor vascularity. Bacterial toxins cause direct tissue damage, induce microvascular thrombosis, and trigger a massive systemic inflammatory response leading to sepsis, multi-organ dysfunction and death if untreated.")) story.append(sec("Clinical Features")) story.append(bul("Pain out of proportion to visible skin changes - the hallmark early feature")) story.append(bul("Erythema, oedema, and warmth - indistinguishable from cellulitis initially")) story.append(bul("Skin vesicles, bullae containing serous/haemorrhagic fluid")) story.append(bul("Crepitus - late sign, present in <20% of cases; indicates gas-forming organisms")) story.append(bul("Patch anaesthesia - from cutaneous nerve infarction; highly specific")) story.append(bul("Skin necrosis with grey/brown discolouration - late, ominous sign")) story.append(bul("Systemic features: high fever (>38°C), tachycardia, hypotension, tachypnoea, altered mental state")) story.append(bul("Speed of progression distinguishes NF from cellulitis - rapid spread within hours")) story.append(Spacer(1, 0.15*cm)) story.append(para("Sites of infection (Table): Lower limbs 28%, Upper limbs 27%, Perineum 21% (Fournier's), Trunk 18%, Head & neck 5% (Ludwig's angina).")) story.append(sec("Investigations")) story.append(bul("LRINEC Score (Laboratory Risk Indicator for Necrotizing Fasciitis): CRP >150 (4 pts), WBC >15 (1 pt) or >25 (2 pts), Hb <13.5 (1 pt) or <11 (2 pts), Na <135 (2 pts), Cr >141 (2 pts), Glucose >10 (1 pt). Score ≥6 = high suspicion (PPV 92%, NPV 96%)")) story.append(bul("Bloods: FBC, U&E, LFTs, CRP, blood cultures, ABG (metabolic acidosis + raised lactate indicate severity)")) story.append(bul("Imaging: Plain X-ray - gas in soft tissue (present in polymicrobial NF). CT scan - gold standard imaging; demonstrates gas tracking along fascial planes, fascial thickening, fluid collections. MRI - highest sensitivity but time-consuming; not for emergency setting")) story.append(bul("Surgical exploration (Finger Sweep Test): definitive diagnostic and therapeutic step - finger passed through small incision; passes easily along fascial planes = positive; reveals grey necrotic fascia, 'dirty dishwater' fluid, absence of bleeding")) story.append(pearl("LRINEC ≥6 = high suspicion. Do NOT delay surgery for imaging in a critically ill patient - clinical diagnosis is sufficient to proceed to theatre.")) story.append(sec("Management")) story.append(bul("Resuscitation: IV access x2, IV fluid resuscitation, oxygen, urinary catheter, HDU/ICU referral")) story.append(bul("Antibiotics (empirical, broad-spectrum, IMMEDIATE):")) story.append(sbul("First line: Piperacillin-Tazobactam 4.5g TDS IV + Clindamycin 600-900mg TDS IV (anti-toxin, inhibits exotoxin production) + Metronidazole 500mg TDS IV")) story.append(sbul("Add Vancomycin if MRSA suspected")) story.append(sbul("Type III (marine): add Ceftriaxone or Doxycycline for Vibrio coverage")) story.append(bul("Surgical debridement: EMERGENCY procedure - all necrotic tissue excised until bleeding viable margins reached. Do not spare tissue for cosmesis. Leave wound open.")) story.append(bul("Planned re-look: mandatory at 24-48 hours for further debridement; may require 3-5 returns to theatre")) story.append(bul("IVIG (Intravenous immunoglobulin): considered in Group A Streptococcal toxic shock syndrome; neutralises superantigens")) story.append(bul("Hyperbaric oxygen therapy: adjunct only; insufficient evidence to delay or replace surgery")) story.append(bul("Wound reconstruction: skin grafting, flap reconstruction once wound clean and patient stabilised")) story.append(bul("Multidisciplinary care: ITU/HDU, plastic surgery, infectious disease, nutrition support")) story.append(sec("Prognosis & Outcome")) story.append(bul("Mortality 20-35% even with optimal treatment; rises to 70-80% with delayed surgery")) story.append(bul("Independent predictors of mortality: advancing age, diabetes, renal failure, delay to first debridement, extent of disease")) story.append(bul("Fournier's gangrene: specific perineal NF; Fournier's Gangrene Severity Index (FGSI) predicts outcome")) story.append(pearl("The most important determinant of survival in NF is TIME TO FIRST SURGICAL DEBRIDEMENT. Every hour of delay increases mortality. 'When in doubt, cut it out.'")) story.append(divider()) # ====================================================================== # CHAPTER 2 - LITIGATION # ====================================================================== story.append(PageBreak()) story += ch_header(2, "Litigation and How to Avoid It", "Surgery in General", CHAPTER_COLORS[1]) story.append(Paragraph("Q. Write a detailed note on Medico-legal issues in Surgery / Surgical Litigation.", q_s)) story.append(sec("Introduction")) story.append(para("Medical litigation has increased significantly over the past two decades. In England and Wales, the NHS Litigation Authority (now NHS Resolution) paid out over £2 billion in clinical negligence claims in 2019-20. Surgeons are among the highest-risk specialties for litigation. Understanding the legal framework, common causes of claims, and preventive strategies is essential for every practising surgeon.")) story.append(sec("Legal Framework - Elements of Negligence")) story.append(para("For a successful negligence claim, three elements must ALL be proven (the 'Bolam trilogy'):")) story.append(bul("1. Duty of Care: exists automatically when a doctor-patient relationship is established")) story.append(bul("2. Breach of Duty: standard of care expected is that of a 'reasonable body of medical opinion' (Bolam test, 1957). Updated by Bolitho (1997) - the practice must also be logically defensible, not just widely held")) story.append(bul("3. Causation: the breach must have directly caused the harm (but-for test)")) story.append(bul("Res ipsa loquitur: 'the thing speaks for itself' - applied when negligence is obvious (e.g. retained swab, wrong-site surgery)")) story.append(sec("The Montgomery Ruling (2015) - Consent Revolution")) story.append(para("The Supreme Court ruling in Montgomery v Lanarkshire Health Board (2015) fundamentally changed the law of consent in the UK. Prior to this, what constituted 'material risk' was judged by what the medical profession thought was important (doctor-centred). Montgomery ruled that surgeons must disclose all risks that the individual patient would consider material, i.e. that a reasonable person in their position would want to know. This is patient-centred consent.")) story.append(bul("Implication: surgeons must now enquire about patient's specific concerns, lifestyle, and what information would be relevant to their decision")) story.append(bul("Documentation of consent discussion is now more important than ever")) story.append(bul("Patient decision aids (PDAs) and consent clinics are now standard practice")) story.append(sec("Common Causes of Surgical Litigation")) story.append(make_table( [th('Category'), th('Examples')], [ ['Consent failures', "Failure to warn of specific risk that materialised; procedure performed without valid consent; post-Montgomery material risk not disclosed"], ['Diagnostic errors', 'Failure/delay to diagnose cancer, appendicitis, bowel obstruction, vascular emergency'], ['Operative errors', 'Inadvertent organ injury, wrong-site surgery, retained foreign body'], ['Post-operative failures', 'Failure to recognise anastomotic leak, PE, sepsis; delayed escalation'], ['Communication failures', 'Not informing patient of complications; lack of safety-netting'], ['Documentation failures', 'Inadequate/absent notes, illegible entries, no record of consent discussion'], ], col_widths=[4.5*cm, 11.5*cm] )) story.append(sec("Duty of Candour")) story.append(para("The statutory Duty of Candour (Health & Social Care Act 2008, Regulation 20) came into force in 2014. It legally requires all NHS organisations to be open and transparent with patients when things go wrong. Key requirements:")) story.append(bul("Notifiable safety incidents must be disclosed to the patient or their representative")) story.append(bul("A verbal apology must be given; followed by a written apology")) story.append(bul("An account of the facts must be provided as soon as reasonably practicable")) story.append(bul("Note: an apology is NOT an admission of liability")) story.append(sec("How to Prevent Litigation - Practical Strategies")) story.append(bul("Consent: document the consent discussion, not just the form. Record: risks discussed, patient questions, information leaflets given, patient's understanding. Allow adequate time before elective procedures.")) story.append(bul("Documentation: contemporaneous, legible, dated, timed, signed notes. Operative notes completed immediately post-procedure. If correcting an entry, single strike-through with date/time/signature.")) story.append(bul("Communication: explain complications early and honestly; use 'SPIKES' protocol for breaking bad news. Ensure handover includes safety-net instructions.")) story.append(bul("WHO Surgical Safety Checklist: mandatory compliance prevents never events (wrong-site surgery, retained items, medication errors)")) story.append(bul("Incident reporting: report all adverse events and near-misses via Datix/hospital system; promotes learning culture")) story.append(bul("Maintaining competence: appraisal, CPD, audit, revalidation (GMC requirement every 5 years)")) story.append(bul("Chaperones: for intimate examinations; document consent for examination")) story.append(sec("Never Events")) story.append(para("Never events are serious, largely preventable patient safety incidents that should not occur with robust preventive measures. Surgical never events include: wrong-site surgery, wrong-implant surgery, retained foreign body, wrong-route administration of medication. Each never event requires a mandatory Serious Incident (SI) investigation and root cause analysis (RCA).")) story.append(pearl("Montgomery (2015) is the landmark consent case - patient-centred not doctor-centred consent. Duty of Candour (2014) makes honesty a legal obligation. Document, communicate, and apologise early.")) story.append(divider()) # ====================================================================== # CHAPTER 3 - SURGICAL SKILLS # ====================================================================== story.append(PageBreak()) story += ch_header(3, "Acquisition of Surgical Skills: Novice to Master", "Training in Surgery", CHAPTER_COLORS[2]) story.append(Paragraph("Q. Discuss the acquisition of surgical skills - from novice to expert surgeon.", q_s)) story.append(sec("Introduction")) story.append(para("The acquisition of surgical skills is a complex, multifactorial process that extends beyond simple repetition of procedures. With the introduction of duty-hour restrictions, reduced exposure in training, and increasing patient safety demands, there is a need for structured, evidence-based approaches to surgical education. The traditional 'see one, do one, teach one' model has been replaced by simulation-based training, deliberate practice, and competency-based assessment.")) story.append(sec("The Dreyfus Model of Skill Acquisition")) story.append(make_table( [th('Stage'), th('Characteristics'), th('Training Approach')], [ ['1. Novice', 'Rule-based; no contextual cues; rigid adherence to taught rules', 'Simulation, structured observation, step-by-step guidance'], ['2. Advanced Beginner', 'Beginning to recognise situational patterns; limited experience', 'Supervised simple cases; box trainer practice'], ['3. Competent', 'Deliberate planning; can cope with complexity; takes responsibility', 'Supervised independent operating; OSATS assessment'], ['4. Proficient', 'Sees situations holistically; intuitive decision-making; subtle adjustments', 'Complex cases with minimal supervision; log book targets'], ['5. Expert', 'Effortless, intuitive performance; transcends rules; teaching ability', 'Autonomous practice; mentoring; subspecialty fellowships'], ], col_widths=[3*cm, 7*cm, 6*cm] )) story.append(sec("Deliberate Practice (Ericsson, 1993)")) story.append(para("Anders Ericsson's theory of deliberate practice is the foundation of modern surgical training. It states that expertise is not simply a product of experience but of structured, focused practice with specific goals and immediate feedback. Key principles:")) story.append(bul("Practice must be at the edge of current competence - not too easy, not impossible")) story.append(bul("Immediate, specific, actionable feedback is essential")) story.append(bul("Mental representations: experts build complex mental models; mental rehearsal (visualisation) is as effective as physical practice")) story.append(bul("The '10,000 hours rule' (Gladwell) - correlates with deliberate practice, not passive repetition")) story.append(bul("Proficiency-Based Progression (PBP): train until a defined performance standard is met before progressing - proven superior to time-based or volume-based training")) story.append(sec("Simulation in Surgical Training")) story.append(bul("Box trainers (laparoscopic): low-cost; validated for basic laparoscopic skills (FLS curriculum); tasks include peg transfer, precision cutting, suturing, clip applying")) story.append(bul("Virtual Reality (VR) simulators: provide metrics (time, path length, economy of movement, force applied); force feedback (haptics); construct validity proven; transfer of skills to OR demonstrated for laparoscopic cholecystectomy and colonoscopy")) story.append(bul("Cadaveric models: best fidelity for open surgery, vascular procedures, transplant surgery; limited availability and cost")) story.append(bul("Animal models: high fidelity; ethical constraints; used for anastomosis training, endoscopy, interventional procedures")) story.append(bul("3D-printed and synthetic models: patient-specific anatomical models; cheaper than cadaveric; no ethical issues")) story.append(bul("High-fidelity mannequins: crisis resource management, team training, airway skills")) story.append(sec("Assessment Tools")) story.append(bul("OSATS (Objective Structured Assessment of Technical Skills): validated global rating scale; assesses respect for tissue, instrument handling, time and motion, knowledge of instruments, flow of procedure, use of assistants, knowledge of specific procedure")) story.append(bul("DOPS (Direct Observation of Procedural Skills): real-time clinical assessment by supervisor; immediate feedback; used in RCS logbook")) story.append(bul("Zwisch Model of supervision: Show and Tell → Active Help → Passive Help → Supervision Only → Independent")) story.append(bul("Metrics-based simulator assessment: automated, objective, consistent; removes assessor bias")) story.append(bul("Video-based assessment: operative videos reviewed by expert panel; used in consultant appointments and CCT")) story.append(sec("Cognitive Skills and Non-Technical Skills (NTS)")) story.append(bul("Non-technical skills (NTS): leadership, communication, situation awareness, decision-making, teamwork")) story.append(bul("NOTSS (Non-Technical Skills for Surgeons): validated behavioural rating tool for surgical NTS")) story.append(bul("Crisis Resource Management (CRM) training: borrowed from aviation; simulation of high-pressure scenarios")) story.append(bul("Mental rehearsal: effective pre-operative preparation; expert surgeons rehearse mentally before complex cases")) story.append(sec("Current Challenges")) story.append(bul("EWTD/Working Time Directive: reduced training hours from >80h/week to <48h/week - 50% reduction in operative exposure")) story.append(bul("Simulation cannot fully replace real operative experience - transfer of learning must be validated")) story.append(bul("Competency-based training (ISCP/RCS portfolio): logbook numbers + DOPS + OSATS + competency sign-off")) story.append(pearl("Proficiency-Based Progression (PBP) - train to a performance STANDARD not a number or time - is the future of surgical training and is recommended by the RCS. Simulation reduces patient risk while building competency.")) story.append(divider()) # ====================================================================== # CHAPTER 4 - BREAST MARGINS # ====================================================================== story.append(PageBreak()) story += ch_header(4, "Assessment of Margins in Breast Cancer Surgery", "Breast Surgery", CHAPTER_COLORS[3]) story.append(Paragraph("Q. Discuss the assessment of surgical margins in breast conserving surgery (BCS).", q_s)) story.append(sec("Introduction")) story.append(para("Breast conserving surgery (BCS) with adjuvant radiotherapy has equivalent survival to mastectomy for early breast cancer (Fisher et al., NSABP B-06). The primary objective of BCS is to completely excise the tumour with adequate margins to minimise local recurrence, whilst preserving breast appearance. Positive margins (tumour at the inked margin) are associated with significantly higher rates of local recurrence and require re-excision or completion mastectomy. Re-excision rates of 20-30% are commonly reported, representing a major quality improvement target.")) story.append(sec("What are 'Adequate Margins'?")) story.append(make_table( [th('Cancer Type'), th('Margin Standard'), th('Guideline')], [ ['Invasive ductal carcinoma (IDC)', "'No ink on tumour' - tumour not touching the inked margin", 'SSO-ASTRO-COBES Consensus 2014'], ['Invasive lobular carcinoma', "'No ink on tumour' - same as IDC", 'SSO-ASTRO 2014'], ['DCIS (ductal carcinoma in situ)', 'Minimum 2mm margin recommended', 'SSO-ASTRO Consensus 2016'], ['LCIS at margin', 'Not a contraindication to BCS; no specific margin required', 'ASCO/SSO Guidance'], ], col_widths=[4.5*cm, 6*cm, 5.5*cm] )) story.append(sec("Pre-operative Planning")) story.append(bul("Mammography, USS, MRI (for lobular, multifocal, dense breast) to define extent of disease")) story.append(bul("Localisation of impalpable lesions: wire-guided localisation (WGL), ROLL (Radio-guided Occult Lesion Localisation), SCOUT (magnetic seed), Magseed")) story.append(bul("Skin marking: surgeon marks incision site pre-operatively with patient upright")) story.append(bul("Orientation of specimen: must be clearly marked in three planes (superior, lateral, posterior) for pathologist using clips, sutures or dyes")) story.append(sec("Intraoperative Margin Assessment Techniques")) story.append(bul("Specimen radiology (2D): standard practice in UK; immediate post-excision X-ray confirms complete excision of microcalcifications and soft tissue lesion. Informs same-sitting re-excision.")) story.append(bul("3D specimen tomosynthesis: superior to 2D; provides 3D assessment of margins in all planes; identifies which specific margin is involved")) story.append(bul("Cavity Shave Margins (CSM): after main specimen removal, circumferential shave of cavity walls taken as separate specimens. SHAVE trial (Chung 2015) demonstrated 50% reduction in re-excision rate. Now widely adopted.")) story.append(bul("Frozen section: rapid histological assessment; limited by poor fat cryosection quality; used in specialist centres for selected cases")) story.append(bul("Imprint cytology: tumour surface pressed onto glass slide; quick and cheap; operator-dependent; sensitivity 80-90%")) story.append(bul("MarginProbe (Dilon Technologies): handheld radiofrequency spectroscopy probe assessing dielectric properties of tissue; real-time margin assessment; RCT demonstrated reduced re-excision; CE-marked in Europe")) story.append(bul("Intraoperative ultrasound (IOUS): surgeon-guided real-time imaging; shown to improve margin status in multiple RCTs; reduces positive margins especially for invasive cancer")) story.append(sec("New and Emerging Technologies")) story.append(bul("LUM system (Lumicell): IV fluorescent tracer (LUM015) + handheld imaging probe; detects residual tumour by fluorescence; Phase II/III trials ongoing")) story.append(bul("ClearEdge probe: near-infrared fluorescence imaging; clinical trials in progress")) story.append(bul("AI-assisted frozen section: deep learning algorithms for real-time margin assessment; high sensitivity/specificity in early studies")) story.append(bul("Intraoperative MRI: available in specialist centres; highest sensitivity; impractical for routine use")) story.append(sec("Post-operative Management of Margins")) story.append(bul("Positive margin (tumour at ink): requires re-excision or completion mastectomy after MDT discussion")) story.append(bul("Close margin (<1mm for IDC, <2mm for DCIS): discuss at MDT; most units consider re-excision for DCIS; for IDC, additional RT boost may be sufficient")) story.append(bul("Pathological reporting: must include distance of tumour from each margin in all planes")) story.append(pearl("'No ink on tumour' is the CURRENT GOLD STANDARD for IDC (SSO-ASTRO 2014). Cavity shave margins reduce re-excision by ~50%. Re-excision rate is an important quality indicator for BCS centres.")) story.append(divider()) # ====================================================================== # CHAPTER 5 - LCIS # ====================================================================== story.append(PageBreak()) story += ch_header(5, "Lobular Carcinoma In Situ (LCIS)", "Breast Surgery", CHAPTER_COLORS[4]) story.append(Paragraph("Q. Write a detailed note on Lobular Carcinoma In Situ (LCIS).", q_s)) story.append(sec("Introduction")) story.append(para("Lobular Carcinoma In Situ (LCIS) is a non-obligate precursor lesion and a risk marker for the subsequent development of invasive breast carcinoma. It arises from the terminal duct lobular units (TDLUs) and is characterised by a proliferation of dyshesive epithelial cells that fill and distend the acini. Unlike DCIS, classical LCIS is typically an incidental finding on biopsy with no specific clinical or mammographic features. However, it confers a significantly elevated lifetime risk of invasive breast cancer.")) story.append(sec("Classification")) story.append(bul("Classic LCIS (cLCIS): small, uniform, discohesive cells with round nuclei; low grade; most common; bilateral in 20-30%")) story.append(bul("Pleomorphic LCIS (pLCIS): high-grade nuclei, pleomorphism, necrosis, calcifications; behaves more aggressively; acts clinically like DCIS")) story.append(bul("Florid LCIS: mass-forming pattern; may produce calcifications; intermediate behaviour")) story.append(sec("Molecular Pathology")) story.append(bul("E-cadherin NEGATIVE on IHC: this is the key distinguishing feature from ductal lesions (DCIS is E-cadherin positive)")) story.append(bul("Loss of CDH1 gene (chromosome 16q22.1) encoding E-cadherin causes loss of cell-cell adhesion → discohesive cells")) story.append(bul("ER-positive (90%), PR-positive, HER2-negative: typical lobular phenotype")) story.append(bul("p120 catenin: cytoplasmic (not membranous) in lobular lesions - useful additional IHC marker")) story.append(sec("Clinical & Radiological Features")) story.append(bul("Classic LCIS: no specific clinical findings; non-palpable; mammogram usually normal (does not form mass or microcalcifications typically)")) story.append(bul("Often an incidental finding on core biopsy taken for other reasons")) story.append(bul("Pleomorphic/Florid LCIS: may present with calcifications on mammogram")) story.append(bul("Bilateral: examine and image contralateral breast")) story.append(sec("Risk of Malignancy")) story.append(bul("cLCIS confers 8-10 times increased lifetime risk of invasive breast cancer (both lobular and ductal subtypes)")) story.append(bul("Absolute risk: approximately 1-2% per year; cumulative lifetime risk 20-30%")) story.append(bul("Risk affects BOTH breasts equally - bilateral risk marker")) story.append(bul("Upgrade rate to malignancy on excision after core biopsy diagnosis: 0-3.7% for cLCIS; higher for pLCIS (up to 19%)")) story.append(sec("Management")) story.append(bul("Classic LCIS found on core biopsy: surgical excision recommended to exclude upgrade to malignancy; no further excision if confirmed cLCIS at surgical margins")) story.append(bul("Pleomorphic LCIS: treat as DCIS - wide local excision to 2mm margins; MDT discussion regarding adjuvant treatment")) story.append(bul("Surveillance:")) story.append(sbul("Annual mammography (digital or tomosynthesis)")) story.append(sbul("Annual MRI if dense breasts or additional risk factors")) story.append(sbul("Regular clinical examination")) story.append(bul("Chemoprevention (risk reduction):")) story.append(sbul("Pre-menopausal: Tamoxifen 20mg/day x 5 years → reduces risk by ~50%")) story.append(sbul("Post-menopausal: Raloxifene or Aromatase inhibitor (anastrozole/exemestane) → reduces risk by ~50-65%")) story.append(sbul("IBIS-II trial: anastrozole reduced breast cancer incidence by 53% vs placebo in high-risk women")) story.append(bul("Risk-reducing mastectomy (RRM): bilateral prophylactic mastectomy reduces risk by >95%; discussed for high-risk women with cLCIS + BRCA mutation/strong family history + high anxiety")) story.append(bul("Genetic counselling: consider BRCA1/2 testing if additional risk factors present")) story.append(pearl("E-cadherin NEGATIVE distinguishes all lobular lesions from ductal. pLCIS = high-risk lesion - treat like DCIS with 2mm margins. Tamoxifen for 5 years reduces cancer risk by ~50% in pre-menopausal women with LCIS.")) story.append(divider()) print("Chapters 1-5 done. Building 6-14...") PYEOF

cd /tmp/workspace/omentum-pdf && python3 - << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, PageBreak) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY, TA_RIGHT PAGE_W, PAGE_H = A4 MARGIN = 1.8*cm IMG_W = PAGE_W - 2*MARGIN doc = SimpleDocTemplate( "RAS39_10Mark_Answers.pdf", pagesize=A4, rightMargin=MARGIN, leftMargin=MARGIN, topMargin=MARGIN, bottomMargin=MARGIN ) styles = getSampleStyleSheet() title_s = ParagraphStyle('T', fontSize=20, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), alignment=TA_CENTER, spaceAfter=4) subtitle_s= ParagraphStyle('ST', fontSize=10, fontName='Helvetica-Oblique', textColor=colors.HexColor('#4a6fa5'), alignment=TA_CENTER, spaceAfter=10) ch_s = ParagraphStyle('CH', fontSize=14, fontName='Helvetica-Bold', textColor=colors.white) q_s = ParagraphStyle('QS', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), spaceBefore=4, spaceAfter=6) sub_s = ParagraphStyle('SB', fontSize=11, fontName='Helvetica-Bold', textColor=colors.HexColor('#1a3c5e'), spaceBefore=8, spaceAfter=4) body_s = ParagraphStyle('B', fontSize=10, fontName='Helvetica', leading=15, textColor=colors.HexColor('#2d2d2d'), spaceAfter=4, alignment=TA_JUSTIFY) bullet_s = ParagraphStyle('BL', fontSize=10, fontName='Helvetica', leading=14, leftIndent=16, textColor=colors.HexColor('#2d2d2d'), spaceAfter=3) subbul_s = ParagraphStyle('SBL',fontSize=9.5,fontName='Helvetica', leading=13, leftIndent=30, textColor=colors.HexColor('#3d3d3d'), spaceAfter=2) hl_s = ParagraphStyle('HL', fontSize=10, fontName='Helvetica-Bold', textColor=colors.HexColor('#7b1f1f'), leading=14, spaceAfter=4, backColor=colors.HexColor('#fff3f0'), leftIndent=8) footer_s = ParagraphStyle('F', fontSize=8, fontName='Helvetica', textColor=colors.grey, alignment=TA_CENTER) CHAPTER_COLORS = ['#1a3c5e','#2c4f8c','#1a5a1a','#6b1f6b','#8b2870', '#7b3a1a','#1a6b9a','#1a6b6b','#1a5a3a','#5a4a00', '#5a2000','#4a0060','#005a3c','#3a3a3a'] def th(t, fs=9): return Paragraph(t, ParagraphStyle('th', fontName='Helvetica-Bold', fontSize=fs, textColor=colors.white)) def ch_header(num, title, section, color_hex): bg = colors.HexColor(color_hex) return [ Spacer(1, 0.3*cm), Table([[Paragraph(f"Chapter {num} | {section}", ParagraphStyle('cs', fontSize=8, fontName='Helvetica-Oblique', textColor=colors.HexColor('#bbccee'))), Paragraph("10 Marks | KNRUHS", ParagraphStyle('mk', fontSize=8, fontName='Helvetica-Bold', textColor=colors.HexColor('#ffd700'), alignment=TA_RIGHT))]], colWidths=[IMG_W*0.75, IMG_W*0.25], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),bg), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),2), ('LEFTPADDING',(0,0),(-1,-1),10),('RIGHTPADDING',(1,0),(1,0),10),('VALIGN',(0,0),(-1,-1),'MIDDLE')])), Table([[Paragraph(title, ch_s)]], colWidths=[IMG_W], style=TableStyle([('BACKGROUND',(0,0),(-1,-1),bg), ('TOPPADDING',(0,0),(-1,-1),2),('BOTTOMPADDING',(0,0),(-1,-1),8), ('LEFTPADDING',(0,0),(-1,-1),10)])), Spacer(1, 0.2*cm), ] def sec(t): return Paragraph(t, sub_s) def para(t): return Paragraph(t, body_s) def bul(t): return Paragraph(f"\u2022 {t}", bullet_s) def sbul(t): return Paragraph(f"\u25e6 {t}", subbul_s) def pearl(t): return Paragraph(f"\u26a1 EXAM PEARL: {t}", hl_s) def div(): return HRFlowable(width=IMG_W, thickness=0.8, color=colors.HexColor('#c8d8ee'), spaceAfter=4, spaceBefore=4) def make_table(headers, rows, cw=None, hbg='#1a3c5e'): data=[headers]+rows if not cw: cw=[IMG_W/len(headers)]*len(headers) t=Table(data,colWidths=cw,repeatRows=1) t.setStyle(TableStyle([('BACKGROUND',(0,0),(-1,0),colors.HexColor(hbg)),('TEXTCOLOR',(0,0),(-1,0),colors.white), ('FONTNAME',(0,0),(-1,0),'Helvetica-Bold'),('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#f0f4ff'),colors.white]), ('GRID',(0,0),(-1,-1),0.4,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),5),('BOTTOMPADDING',(0,0),(-1,-1),5), ('LEFTPADDING',(0,0),(-1,-1),6),('VALIGN',(0,0),(-1,-1),'MIDDLE'), ('ALIGN',(0,0),(-1,0),'CENTER')])) return t story = [] # COVER story.append(Spacer(1,0.5*cm)) story.append(Paragraph("Recent Advances in Surgery - Vol. 39", title_s)) story.append(Paragraph("KNRUHS Final Exam | Detailed 10-Mark Answers | All 14 Chapters", subtitle_s)) story.append(HRFlowable(width=IMG_W, thickness=2, color=colors.HexColor('#1a3c5e'), spaceAfter=8)) story.append(Paragraph("Dr. Vaishnavi | General Surgery | KNRUHS Final Year | Compiled by Orris AI | July 2026", footer_s)) story.append(Spacer(1,0.4*cm)) ch_list = [ "Necrotizing Fasciitis","Litigation and How to Avoid It","Surgical Skills Acquisition", "Assessment of Margins in Breast Cancer Surgery","Lobular Carcinoma In Situ (LCIS)", "Neck Dissection in Head & Neck Cancers","Penetrating Trauma of the Upper GI Tract", "Novel Radiotherapy for Anal Cancer","Anorectal & Perineal TB", "Crohn's Disease & Pregnancy","Pyogenic Liver Abscess","Thoracic Outlet Syndrome", "3D Printing in Surgery","Recent RCTs in Surgery" ] sec_list = ["Surgery in General","Surgery in General","Training","Breast","Breast","Head & Neck", "Upper GI","Lower GI","Lower GI","Lower GI","Hepatobiliary","Vascular","Innovation","Clinical Trials"] story.append(sec("Chapter Index")) idx=[[ th('Ch'),th('Topic'),th('Section') ]] for i,(t,s) in enumerate(zip(ch_list,sec_list)): idx.append([str(i+1),t,s]) it=Table(idx,colWidths=[1*cm,10.5*cm,4.5*cm]) it.setStyle(TableStyle([('BACKGROUND',(0,0),(-1,0),colors.HexColor('#1a3c5e')), ('TEXTCOLOR',(0,0),(-1,0),colors.white),('FONTSIZE',(0,0),(-1,-1),9), ('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor('#eaf2fb'),colors.white]), ('GRID',(0,0),(-1,-1),0.3,colors.HexColor('#aac4de')), ('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4), ('LEFTPADDING',(0,0),(-1,-1),5),('VALIGN',(0,0),(-1,-1),'MIDDLE')])) story.append(it) # ====== CH1 NF ====== story.append(PageBreak()) story+=ch_header(1,"Necrotizing Fasciitis","Surgery in General",CHAPTER_COLORS[0]) story.append(Paragraph("Q. Discuss Necrotizing Fasciitis - definition, classification, clinical features, diagnosis and management.",q_s)) story.append(sec("Introduction")) story.append(para("Necrotizing fasciitis (NF) is a rapidly progressive, potentially fatal soft tissue infection involving the superficial fascia and subcutaneous tissue. It is a surgical emergency characterised by widespread fascial necrosis, systemic sepsis and high mortality (20-35%). Delay in surgical intervention is the single most critical determinant of death. It encompasses a spectrum of necrotizing soft tissue infections (NSTIs) including Fournier's gangrene (perineal NF) and Ludwig's angina (submandibular NF). A high index of suspicion is essential as early disease may mimic simple cellulitis.")) story.append(sec("Aetiology & Pathophysiology")) story.append(para("Following tissue inoculation (often through trivial trauma, surgical wounds, perforations or spontaneously in immunocompromised hosts), bacteria proliferate within the relatively avascular fascial plane. Aerobic organisms consume available oxygen creating a hypoxic microenvironment that facilitates anaerobic growth. Anaerobes produce hydrogen, nitrogen, CO2 and H2S gases accounting for the pathognomonic crepitus and gas on imaging. Bacterial toxins (including streptolysin O and S in GAS infections, and alpha-toxin in Clostridial infections) cause direct tissue necrosis, inhibit neutrophil function, and trigger massive cytokine release, leading to microvascular thrombosis, ischaemia, sepsis and multi-organ failure.")) story.append(sec("Classification (Giuliano et al.)")) story.append(make_table([th('Type'),th('Microbiology'),th('Patient Profile'),th('Notes')],[ ['Type I\n(Polymicrobial)\n90%','E.coli, Bacteroides, Clostridium spp, Streptococci, Enterococcus (synergistic aerobic + anaerobic)','Elderly, diabetic, immunocompromised, post-abdominal surgery, IVDU','Most common; gas-forming; no trauma usually'], ['Type II\n(Monomicrobial)','Group A beta-haemolytic Streptococcus, MRSA, Staphylococcus aureus','Healthy young; trivial/no trauma','M proteins evade immunity; Toxic Shock Syndrome common; rapidly fatal'], ['Type III','Gram-negative marine organisms: Vibrio vulnificus, Aeromonas hydrophila','Seawater exposure, fish handlers, chronic liver disease','Haemorrhagic bullae; fatal in liver disease'], ['Type IV\n(Fungal)','Zygomycetes (Mucor), Candida species','Burns, transplant recipients, immunocompromised','Rapidly progressive; diagnose by histology'], ],cw=[2*cm,5.5*cm,4*cm,4.5*cm])) story.append(sec("Clinical Features")) story.append(bul("Pain out of proportion to visible skin changes - hallmark early feature; pain may paradoxically reduce as cutaneous nerves infarct")) story.append(bul("Local: erythema, warmth, oedema → skin blistering/bullae → skin necrosis (grey-brown discolouration) → frank cutaneous gangrene")) story.append(bul("Crepitus: present in <20% of cases; indicates gas-forming polymicrobial infection")) story.append(bul("Patch anaesthesia over the erythematous area: from cutaneous nerve infarction; highly specific sign")) story.append(bul("Rapid progression within hours - distinguishes NF from cellulitis")) story.append(bul("Systemic features: pyrexia (>38°C), tachycardia, hypotension, tachypnoea, altered consciousness, DIC")) story.append(bul("Sites: Lower limbs 28%, Upper limbs 27%, Perineum 21%, Trunk 18%, Head & Neck 5%")) story.append(sec("Investigations")) story.append(bul("LRINEC Score (Laboratory Risk Indicator for NF): scored on 6 parameters:")) story.append(sbul("CRP >150 mg/L = 4 points; WBC 15-25 = 1pt, >25 = 2 pts; Hb 11-13.5 = 1pt, <11 = 2 pts")) story.append(sbul("Sodium <135 mEq/L = 2 pts; Creatinine >141 μmol/L = 2 pts; Glucose >10 mmol/L = 1 pt")) story.append(sbul("Score ≥6 = high risk NF (PPV 92%, NPV 96%); Score ≥8 = very high risk")) story.append(bul("Blood tests: FBC, U&E, LFTs, CRP, ABG (metabolic acidosis, raised lactate), coagulation, blood cultures")) story.append(bul("Plain X-ray: gas in soft tissue (present in polymicrobial NF - supports diagnosis but absence does not exclude)")) story.append(bul("CT abdomen/pelvis/limb: GOLD STANDARD imaging - gas tracking along fascial planes, fascial thickening, fluid; sensitivity 80%; specificity 94%")) story.append(bul("Finger Sweep Test (diagnostic & therapeutic): incision under LA/GA; finger easily passes along fascial planes; reveals grey necrotic fascia, 'dirty dishwater' fluid, absence of bleeding")) story.append(sec("Management")) story.append(bul("RESUSCITATION: IV access x2, aggressive IV crystalloid, high-flow O2, urinary catheter, HDU/ICU referral, cross-match")) story.append(bul("ANTIBIOTICS (immediate, empirical, broad-spectrum):")) story.append(sbul("IV Piperacillin-Tazobactam 4.5g TDS + IV Clindamycin 600-900mg TDS (anti-toxin/protein synthesis inhibitor) + IV Metronidazole 500mg TDS")) story.append(sbul("Add IV Vancomycin/Teicoplanin if MRSA suspected (healthcare-associated/risk factors)")) story.append(sbul("Type III (marine): add IV Ceftriaxone or oral Doxycycline for Vibrio coverage")) story.append(sbul("De-escalate based on wound cultures at 48h")) story.append(bul("EMERGENCY SURGICAL DEBRIDEMENT: most critical intervention")) story.append(sbul("Excise ALL necrotic tissue until healthy bleeding viable margins are reached")) story.append(sbul("Do not spare tissue for cosmesis - under-debridement is lethal")) story.append(sbul("Leave wound open; pack with antiseptic dressings")) story.append(bul("PLANNED RE-LOOK at 24-48 hours mandatory: further debridement often needed; may require 3-5 theatre visits")) story.append(bul("ICU/HDU care: organ support, vasopressors if required, nutritional support (high protein - 2g/kg/day)")) story.append(bul("IVIG: 2g/kg IV single dose - for Group A Streptococcal toxic shock syndrome; neutralises superantigens")) story.append(bul("Hyperbaric oxygen (HBO): adjunct only; may improve wound healing and reduce anaerobic bacteria; NEVER delay surgery for HBO")) story.append(bul("Wound reconstruction: split-thickness skin grafting (STSG) or local/free flap once wound is clean and patient stable; Fournier's = perineal reconstruction; orchidopexy if testes viable")) story.append(sec("Prognosis")) story.append(bul("Mortality: 20-35% overall; rises to 70-80% with delayed/inadequate surgery")) story.append(bul("Predictors of death: advanced age, diabetes, renal failure, delay to debridement >24h, Type IV, truncal involvement")) story.append(bul("Fournier's Gangrene Severity Index (FGSI): uses physiological parameters to predict mortality")) story.append(pearl("NF is a CLINICAL DIAGNOSIS - never delay surgery waiting for investigations. Time to first debridement is the most critical determinant of survival. 'When in doubt, cut it out.'")) story.append(div()) # ====== CH2 LITIGATION ====== story.append(PageBreak()) story+=ch_header(2,"Litigation and How to Avoid It","Surgery in General",CHAPTER_COLORS[1]) story.append(Paragraph("Q. Discuss medico-legal issues in surgery and how litigation can be prevented.",q_s)) story.append(sec("Introduction")) story.append(para("Surgical litigation represents a major professional and financial burden. NHS Resolution paid over £2 billion in clinical negligence claims in 2019-20. Surgeons are among the highest-risk specialties alongside obstetrics and gynaecology. Understanding the legal framework for clinical negligence, common causes of claims, and evidence-based prevention strategies is a core competency for surgical practice. The legal landscape has shifted significantly following landmark rulings, particularly in the area of consent.")) story.append(sec("Elements of Clinical Negligence (Tort of Negligence)")) story.append(para("For a successful negligence claim, ALL three elements must be proven by the claimant on a balance of probabilities:")) story.append(bul("1. DUTY OF CARE: established automatically when a doctor-patient relationship exists; no controversy in healthcare")) story.append(bul("2. BREACH OF DUTY: the standard expected is that of a 'reasonable and responsible body of medical opinion' - Bolam test (Bolam v Friern Hospital Management Committee, 1957). Updated by Bolitho v City & Hackney HA (1997): the practice must also be logically defensible and withstand logical analysis even if widely adopted")) story.append(bul("3. CAUSATION: the breach must have caused (or materially contributed to) the harm - 'but-for test'. Must be proven on a balance of probabilities (>50%)")) story.append(bul("Res ipsa loquitur: 'the thing speaks for itself' - applied when negligence is self-evident (e.g. retained surgical swab - right-sided haematoma after left-sided operation)")) story.append(sec("The Montgomery Ruling (2015) - Consent")) story.append(para("Montgomery v Lanarkshire Health Board [2015] UKSC 11 is the landmark Supreme Court ruling that transformed consent law. The previous doctor-centred Bolam standard for consent was replaced with a patient-centred standard. The court ruled:")) story.append(bul("A doctor must disclose any risk that: (a) a reasonable person in the patient's position would consider significant, OR (b) the doctor knows this particular patient would consider significant")) story.append(bul("This is patient-centred, not doctor-centred - the patient defines what is material, not the profession")) story.append(bul("Practical implication: surgeons must ask about patient's individual concerns, lifestyle, values, and occupation, then tailor consent discussion accordingly")) story.append(bul("Must document: risks discussed, patient's questions, information leaflets given, shared decision-making; dedicated consent clinics recommended for complex elective surgery")) story.append(sec("Common Causes of Surgical Litigation")) story.append(make_table([th('Category'),th('Common Examples'),th('Prevention')],[ ['Consent failures','Risk not disclosed that later materialised; no documentation of consent discussion; insufficient information given','Montgomery-compliant consent; patient decision aids; documented discussion'], ['Diagnostic errors','Missed/delayed cancer diagnosis; delayed appendicitis; missed vascular emergency','Clear safety-netting; follow-up for investigation results; referral thresholds'], ['Operative errors','Iatrogenic organ injury (CBD, ureter, bowel); wrong-site surgery; retained foreign body','WHO SSC; preoperative marking; experienced assistance; intraoperative imaging'], ['Post-operative failures','Unrecognised anastomotic leak; PE; post-op sepsis; delayed escalation','Regular ward rounds; escalation protocols; NEWS2 track and trigger'], ['Communication failures','Not informing patient of complications early; poor discharge advice','Duty of Candour; proactive communication; discharge summaries'], ['Documentation failures','Missing/illegible notes; no record of consent; no operative note','Contemporaneous, legible, complete documentation always'], ],cw=[3.5*cm,6.5*cm,6*cm])) story.append(sec("Duty of Candour")) story.append(para("The statutory Duty of Candour (Health & Social Care Act 2008, Regulation 20) requires all registered healthcare providers to be open and transparent when harm occurs. Key requirements for notifiable safety incidents:")) story.append(bul("Verbal notification to patient/family as soon as reasonably practicable")) story.append(bul("Written apology: an apology is NOT an admission of liability (Compensation Act 2006)")) story.append(bul("Factual account of what happened and what will be done to prevent recurrence")) story.append(bul("GMC Good Medical Practice (2024): doctors must be honest and candid with patients")) story.append(sec("Practical Prevention Strategies")) story.append(bul("Consent: document the DISCUSSION, not just the signed form. Record: all material risks and benefits discussed, alternatives offered, patient's specific questions and concerns, leaflets/decision aids given, patient's decision and capacity. Allow adequate time - separate consent appointment for major elective procedures")) story.append(bul("Documentation: contemporaneous ('if not written, it did not happen'); legible, dated, timed, signed; never alter notes without proper procedure; complete operative note immediately post-procedure")) story.append(bul("WHO Surgical Safety Checklist: mandatory in all UK NHS operating theatres; Sign In/Time Out/Sign Out prevents wrong-site surgery, retained instruments and medication errors")) story.append(bul("Incident reporting: mandatory reporting of all adverse events and near-misses via Datix or equivalent; promotes safety culture and learning; not punitive")) story.append(bul("Revalidation: GMC requires 5-yearly revalidation based on appraisal, CPD, audit, colleague and patient feedback")) story.append(bul("Never Events: wrong site surgery, retained foreign body, wrong implant = mandatory Serious Incident investigation + Root Cause Analysis (RCA) + implementation of changes")) story.append(pearl("Montgomery (2015): patient-centred consent - disclose what THE PATIENT considers material. Duty of Candour (2014): statutory obligation to apologise honestly when things go wrong. 'If not written, it did not happen.'")) story.append(div()) # ====== CH3 SURGICAL SKILLS ====== story.append(PageBreak()) story+=ch_header(3,"Acquisition of Surgical Skills: Novice to Master","Training in Surgery",CHAPTER_COLORS[2]) story.append(Paragraph("Q. Discuss the methods of acquisition of surgical skills - from novice to expert surgeon.",q_s)) story.append(sec("Introduction")) story.append(para("The acquisition of surgical skills is a complex, evidence-based process that has undergone major transformation in the 21st century. The European Working Time Directive (EWTD) reduced training hours from >80 to <48 hours/week, significantly reducing operative exposure. Simultaneously, patient safety demands have increased. This necessitated a shift from the traditional 'see one, do one, teach one' model to structured, simulation-based, competency-assessed training. The goal is to ensure that every surgeon achieves expertise efficiently without compromising patient safety during the learning phase.")) story.append(sec("The Dreyfus Model of Skill Acquisition (1980)")) story.append(make_table([th('Stage'),th('Characteristics'),th('Approach to Training')],[ ['1. Novice','Rule-based performance; cannot interpret situational context; rigid; slow','Step-by-step instructions; simulation; supervised observation; box trainers'], ['2. Advanced Beginner','Recognises recurring patterns; still limited contextual awareness','Supervised cases; focused practice on specific components'], ['3. Competent','Plans deliberately; can manage complexity; takes clinical responsibility','Supervised independent operating; OSATS/DOPS assessment; logbook targets'], ['4. Proficient','Holistic situational understanding; intuitive decision-making','Complex cases; fellowship training; minimal supervision'], ['5. Expert','Effortless, intuitive, adaptive performance; transcends rules; can teach','Autonomous practice; specialist procedures; mentoring junior trainees'], ],cw=[3*cm,7*cm,6*cm])) story.append(sec("Theory of Deliberate Practice (Ericsson, 1993)")) story.append(para("Ericsson's seminal work demonstrated that expertise is NOT a product of passive experience alone, but of structured deliberate practice with specific characteristics. This forms the theoretical basis for modern surgical training programmes:")) story.append(bul("Focused practice at the boundary of current competence (not too easy, not impossible)")) story.append(bul("Immediate, specific, actionable feedback from an expert or validated system")) story.append(bul("Repetition with the specific goal of overcoming weaknesses")) story.append(bul("Mental rehearsal (visualisation): as effective as physical practice; used by expert surgeons before complex cases")) story.append(bul("Proficiency-Based Progression (PBP): training to a defined performance standard rather than a fixed number of cases or time - proven superior to volume-based training (RCS endorsed)")) story.append(sec("Simulation in Surgical Training")) story.append(bul("Box trainers (laparoscopic): low-cost, available, validated; FLS (Fundamentals of Laparoscopic Surgery) curriculum; tasks: peg transfer, pattern cutting, suturing, clip application, extracorporeal knot tying")) story.append(bul("Virtual Reality (VR) simulators (e.g. LAP Mentor, AccuTouch): provide automated metrics (time, path length, economy of movement, instrument force, errors); haptic feedback; construct validity proven; transfer of learning to OR demonstrated for laparoscopic cholecystectomy, colonoscopy, TURP")) story.append(bul("Cadaveric models: highest fidelity for open surgery; vascular anastomosis; organ-specific procedures; limited by availability, cost and need for specialised facilities")) story.append(bul("Animal models: porcine and ovine models for GI anastomosis, laparoscopic suturing; ethical constraints apply")) story.append(bul("3D-printed patient-specific models: cheaper than cadaveric; no ethical issues; excellent for pre-op planning and practice of complex procedures")) story.append(bul("High-fidelity mannequins: Crisis Resource Management (CRM), teamwork, communication, airway emergencies")) story.append(sec("Assessment of Surgical Competence")) story.append(bul("OSATS (Objective Structured Assessment of Technical Skills): validated global rating scale; 7 domains: respect for tissue, time and motion, instrument handling, knowledge of instruments, flow of procedure, use of assistants, knowledge of specific procedure; 1-5 scale")) story.append(bul("DOPS (Direct Observation of Procedural Skills): real-time clinical assessment; supervisor observes trainee performing procedure; immediate verbal feedback; recorded in ISCP portfolio")) story.append(bul("Zwisch Model of Supervision: Show and Tell (demonstrate and narrate) → Active Help (assist throughout) → Passive Help (ready to assist) → Supervision Only (trainee fully independent)")) story.append(bul("Video-based assessment: operative videos reviewed by expert panel; increasingly used for CCT sign-off and consultant appointments in UK")) story.append(bul("Metrics-based simulator assessment: automated, objective, reproducible; removes inter-rater variability")) story.append(sec("Non-Technical Skills (NTS)")) story.append(bul("Technical skills alone do not make a safe surgeon; NTS are equally important:")) story.append(sbul("Situation Awareness: gathering information, understanding it, projecting ahead")) story.append(sbul("Decision Making: identifying options, selecting actions, reviewing outcomes")) story.append(sbul("Communication and Teamwork: clear, closed-loop communication; shared mental model")) story.append(sbul("Leadership: directing team, managing workload, maintaining standards")) story.append(bul("NOTSS (Non-Technical Skills for Surgeons): validated behavioural rating tool used in simulation and real OR assessment")) story.append(bul("CRM (Crisis Resource Management): simulation of high-pressure scenarios (major haemorrhage, airway emergency) to train team response")) story.append(sec("Current UK Training Framework")) story.append(bul("ISCP (Intercollegiate Surgical Curriculum Project): competency-based portfolio; logbook, DOPS, OSATS, WBA, assessments")) story.append(bul("Annual Review of Competence Progression (ARCP): yearly formal assessment of training progress")) story.append(bul("Subspecialty fellowships: 1-2 years post-CCT; highly specialised training (HPB, colorectal, vascular)")) story.append(pearl("Proficiency-Based Progression (PBP) = train to a STANDARD not a number. Simulation reduces patient risk during the learning curve. NTS are as important as technical skills for safe surgical practice.")) story.append(div()) # ====== CH4 MARGINS ====== story.append(PageBreak()) story+=ch_header(4,"Assessment of Margins in Breast Cancer Surgery","Breast Surgery",CHAPTER_COLORS[3]) story.append(Paragraph("Q. Discuss the assessment of surgical margins in breast conserving surgery (BCS) for breast cancer.",q_s)) story.append(sec("Introduction")) story.append(para("Breast conserving surgery (BCS) combined with adjuvant radiotherapy has equivalent long-term survival to mastectomy for early breast cancer (NSABP B-06, Milan trial). The primary surgical objective is complete excision of the tumour with adequate clear margins to minimise local recurrence, while preserving breast form and function. Positive or inadequate margins necessitate re-excision or conversion to mastectomy, increasing patient morbidity, anxiety, cost, and cosmetic compromise. Re-excision rates of 20-30% are reported across UK breast units - a major quality improvement target. Accurate intraoperative margin assessment is therefore central to successful BCS.")) story.append(sec("Current Margin Standards")) story.append(make_table([th('Tumour Type'),th('Recommended Margin'),th('Evidence/Guideline')],[ ['Invasive ductal carcinoma (IDC)','No ink on tumour (tumour not touching the inked margin)','SSO-ASTRO-COBES International Consensus 2014; Association of Breast Surgery UK'], ['Invasive lobular carcinoma (ILC)','No ink on tumour (same as IDC)','SSO-ASTRO 2014; no additional margin needed'], ['DCIS (Ductal carcinoma in situ)','Minimum 2mm margin','SSO-ASTRO DCIS Consensus 2016'], ['Classic LCIS at margin','Not a contraindication to BCS; no specific margin required','ASCO guidance'], ],cw=[4*cm,5*cm,7*cm])) story.append(sec("Pre-operative Planning")) story.append(bul("Triple assessment: clinical examination + imaging (mammography ± USS ± MRI) + histological diagnosis")) story.append(bul("MRI: indicated for lobular carcinoma, multifocal/multicentric disease, young dense breasts, post-neoadjuvant chemotherapy assessment")) story.append(bul("Localisation of impalpable lesions:")) story.append(sbul("Wire-guided localisation (WGL): traditional; wire inserted under image guidance on day of surgery")) story.append(sbul("ROLL (Radio-Occult Lesion Localisation): radiotracer injection; gamma probe-guided excision")) story.append(sbul("SCOUT/Magseed/radiofrequency seed: non-wire, day-before insertion; magnetic/radiofrequency detection")) story.append(bul("Specimen orientation: must be marked in THREE planes (superior, lateral, posterior/deep) using different coloured sutures, clips or marking system; communicated clearly to radiologist and pathologist")) story.append(sec("Intraoperative Margin Assessment Techniques")) story.append(bul("Specimen radiology (2D mammography): standard practice in all UK breast units; confirms complete excision of lesion and microcalcifications; directs same-sitting re-excision of specific margin; sensitivity ~60-70% for margin positivity")) story.append(bul("3D specimen tomosynthesis: superior to 2D; provides three-dimensional assessment of all margins; identifies specific margin involved; increasingly replacing 2D")) story.append(bul("Cavity Shave Margins (CSM): after main specimen removal, separate circumferential shavings taken from cavity walls in all planes. SHAVE trial (Chung 2015, NEJM): CSM reduced re-excision rate by ~50% (19.4% vs 10.4%); now widely adopted in UK practice")) story.append(bul("Frozen section histology: rapid intraoperative histological assessment (20-30 min); limited by fatty breast tissue (poor cryosection quality); sensitivity 80-90%; used in selected centres for palpable tumours")) story.append(bul("Imprint cytology (touch prep): tumour cut surface pressed onto glass slide; rapid; operator-dependent; sensitivity 80-90%; useful in centres with on-site cytopathologist")) story.append(bul("MarginProbe (Dilon Technologies): handheld radiofrequency spectroscopy device; uses dielectric properties to distinguish tumour from normal tissue at margin; real-time intraoperative use; RCT demonstrated statistically significant reduction in re-excision rates; CE-marked and FDA-approved")) story.append(bul("Intraoperative ultrasound (IOUS): surgeon-performed real-time USS guidance; multiple RCTs show reduction in positive margins and re-excision rates; particularly effective for invasive cancers; requires trained surgeon")) story.append(bul("Radiofrequency identification (RFID) tags: newer localisation and orientation systems under evaluation")) story.append(sec("Emerging Technologies")) story.append(bul("Lumicell/LUM system: IV fluorescent cancer-seeking probe (LUM015) administered pre-operatively; handheld imaging device detects residual fluorescent tumour in cavity walls intraoperatively; Phase II results promising; Phase III ongoing")) story.append(bul("AI-assisted histopathology: deep learning algorithms for rapid margin assessment on frozen section or whole-slide images; high accuracy in early studies")) story.append(bul("Intraoperative MRI: available in selected specialist centres; highest sensitivity for residual disease; impractical and costly for routine use")) story.append(sec("Post-operative Margin Management")) story.append(bul("Positive margin (tumour at ink): MDT discussion; re-excision of specific margin or completion mastectomy based on: amount of residual disease, multicentricity, patient preference, breast size, feasibility of achieving clear margins")) story.append(bul("Close margin (IDC <1mm, DCIS <2mm): MDT discussion; re-excision often recommended for DCIS; for IDC - additional RT boost may be sufficient")) story.append(bul("Re-excision strategies: targeted re-excision of involved margin (image-guided); completion mastectomy")) story.append(bul("Quality indicator: re-excision rate after BCS is a key NHSBSP quality metric; target <20% in most guidelines")) story.append(pearl("'No ink on tumour' = IDC standard (SSO-ASTRO 2014). Cavity Shave Margins reduce re-excision by ~50% (SHAVE trial). Re-excision rate is the key quality indicator for breast units performing BCS.")) story.append(div()) # ====== CH5 LCIS ====== story.append(PageBreak()) story+=ch_header(5,"Lobular Carcinoma In Situ (LCIS)","Breast Surgery",CHAPTER_COLORS[4]) story.append(Paragraph("Q. Write a detailed note on Lobular Carcinoma In Situ (LCIS).",q_s)) story.append(sec("Introduction")) story.append(para("Lobular Carcinoma In Situ (LCIS) is a non-invasive proliferative lesion of the breast arising from the terminal duct lobular units (TDLUs). It is a simultaneously a non-obligate precursor of invasive breast cancer AND a risk marker for bilateral breast cancer development. Unlike DCIS, classical LCIS has no specific clinical or mammographic features and is typically an incidental histological finding. However, its diagnosis requires a structured management pathway including surveillance, risk reduction counselling, and in selected cases, prophylactic intervention. The significance of LCIS has evolved considerably with the recognition of histological subtypes with distinct risk profiles.")) story.append(sec("Classification of LCIS")) story.append(bul("Classic LCIS (cLCIS): small, uniform, round, loosely cohesive (discohesive) cells with bland nuclei filling and distending the acini; no necrosis; most common subtype; typically ER-positive, HER2-negative")) story.append(bul("Pleomorphic LCIS (pLCIS): large pleomorphic cells with prominent nucleoli; may show central necrosis and calcifications (similar to DCIS); behaves more aggressively; managed like DCIS")) story.append(bul("Florid LCIS: mass-forming; causes acinar distension and may produce calcifications; intermediate risk; managed individually")) story.append(sec("Molecular Pathology & Immunohistochemistry")) story.append(bul("E-CADHERIN NEGATIVE: most important IHC marker; loss of CDH1 gene (16q22.1) causes loss of cell-cell adhesion → discohesive lobular phenotype")) story.append(bul("DCIS is E-cadherin POSITIVE - this distinguishes LCIS from DCIS on IHC when morphology is ambiguous")) story.append(bul("p120 catenin: cytoplasmic pattern (vs membranous in ductal lesions) - useful secondary IHC marker")) story.append(bul("ER positive (~90%), PR positive, HER2 negative - typical lobular phenotype")) story.append(bul("CDH1 gene mutation: somatic in 56% of classic LCIS; germline CDH1 mutation associated with hereditary diffuse gastric cancer and lobular breast cancer")) story.append(sec("Epidemiology & Risk")) story.append(bul("LCIS itself: no specific symptoms, not palpable, mammographically occult usually")) story.append(bul("Incidence: ~0.5-3.8% of benign breast biopsies; bilateral in 20-30% (risk marker for both breasts)")) story.append(bul("Classic LCIS: 8-10x increased lifetime risk of invasive breast cancer compared to general population")) story.append(bul("Absolute annual risk: ~1-2% per year; cumulative 20-year risk approximately 20-30%")) story.append(bul("Risk affects BOTH breasts equally and independently regardless of which side the LCIS was found")) story.append(bul("pLCIS: upgrade rate to invasive cancer at excision up to 19%; higher risk than cLCIS")) story.append(bul("Upgrade rates of cLCIS on core biopsy: 0-3.7% to invasive carcinoma at excision - excision recommended")) story.append(sec("Management")) story.append(bul("CLASSIC LCIS on core biopsy:")) story.append(sbul("Surgical excision recommended to exclude upgrade to invasive carcinoma or DCIS")) story.append(sbul("If cLCIS confirmed at excision with no other pathology: no further re-excision required (margins not relevant for cLCIS)")) story.append(sbul("Proceed to enhanced surveillance")) story.append(bul("PLEOMORPHIC / FLORID LCIS:")) story.append(sbul("Treat as DCIS: wide local excision aiming for 2mm margins")) story.append(sbul("MDT discussion for adjuvant treatment; consider adjuvant tamoxifen")) story.append(sbul("Some units recommend treatment like high-grade DCIS")) story.append(bul("SURVEILLANCE:")) story.append(sbul("Annual mammography (digital mammography or tomosynthesis)")) story.append(sbul("Annual breast MRI if dense breasts, incomplete mammographic assessment or additional risk factors")) story.append(sbul("6-monthly clinical breast examination for 2 years then annual")) story.append(bul("CHEMOPREVENTION (Risk-Reducing Medications):")) story.append(sbul("Pre-menopausal: Tamoxifen 20mg OD x 5 years → reduces breast cancer risk by ~50%")) story.append(sbul("Post-menopausal: Raloxifene 60mg OD → similar efficacy to tamoxifen; no uterine stimulation; reduces risk ~50%")) story.append(sbul("Aromatase inhibitors (Anastrozole/Exemestane): reduce risk by ~50-65%; IBIS-II (anastrozole) and MAP.3 (exemestane) trials; post-menopausal only")) story.append(sbul("Discuss side effects: tamoxifen: VTE, endometrial cancer, menopausal symptoms")) story.append(bul("RISK-REDUCING MASTECTOMY (RRM):")) story.append(sbul("Bilateral prophylactic mastectomy (BPM) reduces lifetime breast cancer risk by >95%")) story.append(sbul("Indications: LCIS + BRCA1/2 mutation, or LCIS + strong family history, or pLCIS + high anxiety after full counselling")) story.append(sbul("Discussed at hereditary breast cancer MDT; involves clinical genetics referral")) story.append(bul("GENETIC TESTING: offer BRCA1/2 testing if additional risk factors (strong family history, Ashkenazi Jewish, young age at diagnosis, bilateral disease)")) story.append(pearl("E-cadherin NEGATIVE = hallmark of lobular lesions (LCIS, ILC). pLCIS = treat like DCIS. Tamoxifen 5 years reduces risk by ~50% in pre-menopausal women with LCIS. BPM reduces risk by >95%.")) story.append(div()) # ====== CH6 NECK DISSECTION ====== story.append(PageBreak()) story+=ch_header(6,"Neck Dissection in Head & Neck Cancers","Head & Neck Surgery",CHAPTER_COLORS[5]) story.append(Paragraph("Q. Discuss neck dissection - classification, indications, surgical technique and complications.",q_s)) story.append(sec("Introduction")) story.append(para("The regional lymph nodes of the neck are the primary site of metastatic spread from most head and neck squamous cell carcinomas (HNSCC). Management of the neck is one of the most critical aspects of surgical treatment of head and neck cancers. Neck dissection aims to remove lymph node groups at risk of harbouring metastatic disease, provide accurate staging, and improve locoregional control. The extent of neck dissection has evolved from the radical resection described by Crile (1906) to the more selective, function-preserving approaches used today.")) story.append(sec("Classification of Cervical Lymph Node Levels (AAO-HNS 2002)")) story.append(make_table([th('Level'),th('Name'),th('Boundaries'),th('Primary Tumour Drainage')],[ ['Ia','Submental','Between anterior bellies of digastric, hyoid below','Floor of mouth, anterior tongue, lower lip'], ['Ib','Submandibular','Body of mandible, anterior & posterior digastric','Oral cavity, anterior nasal cavity, lip, submandibular gland'], ['IIa','Upper Jugular (ant)','Skull base to hyoid; anterior to CN XI','Oral cavity, nasopharynx, oropharynx, larynx, parotid'], ['IIb','Upper Jugular (post)','Same level; posterior to CN XI (spinal accessory)','Nasopharynx, oropharynx - less commonly involved'], ['III','Middle Jugular','Hyoid to inferior border of cricoid','Oral cavity, nasopharynx, oropharynx, larynx, hypopharynx'], ['IV','Lower Jugular','Cricoid to clavicle','Larynx, hypopharynx, thyroid, oesophagus, cervical trachea'], ['Va','Posterior triangle (upper)','Posterior triangle above transverse cervical vessels','Nasopharynx, oropharynx, skin posterior scalp'], ['Vb','Posterior triangle (lower)','Posterior triangle below transverse cervical vessels','Thyroid, skin posterior neck'], ['VI','Central compartment','Between carotids; hyoid to sternal notch','Thyroid, larynx, cervical oesophagus, parathyroid'], ['VII','Superior mediastinal','Below sternal notch, above innominate vein','Thyroid, oesophagus'], ],cw=[1.5*cm,3.5*cm,5*cm,6*cm])) story.append(sec("Classification of Neck Dissection")) story.append(bul("Radical Neck Dissection (RND): removes levels I-V + sternocleidomastoid (SCM) + internal jugular vein (IJV) + CN XI (spinal accessory nerve). Rarely performed now. Reserved for extensive nodal disease encasing these structures.")) story.append(bul("Modified Radical Neck Dissection (MRND): removes levels I-V but preserves one or more of SCM, IJV, CN XI:")) story.append(sbul("Type I MRND: preserves CN XI")) story.append(sbul("Type II MRND: preserves CN XI + IJV")) story.append(sbul("Type III MRND (Functional ND): preserves all three - CN XI, IJV, SCM")) story.append(bul("Selective Neck Dissection (SND): removes only levels at risk based on primary tumour site:")) story.append(sbul("Supraomohyoid ND (levels I-III): oral cavity tumours")) story.append(sbul("Lateral ND (levels II-IV): oropharynx, larynx, hypopharynx")) story.append(sbul("Posterolateral ND (levels II-V): posterior scalp, skin")) story.append(sbul("Central compartment ND (level VI): thyroid cancer")) story.append(bul("Extended ND: removes additional structures (carotid artery, skin, CN XII, parapharyngeal space)")) story.append(sec("Indications")) story.append(bul("N+ (clinically/radiologically positive nodes): therapeutic ND - removes known disease")) story.append(bul("N0 (clinically negative neck): elective ND if risk of occult nodal metastases >15-20%")) story.append(sbul("T2+ oral cavity tumours: >20% occult nodal risk → elective ND recommended")) story.append(sbul("SENTINEL LYMPH NODE BIOPSY (SLNB): alternative to elective ND for T1-T2 N0 oral cavity tumours; validated in HEAD-NECK CANCER trial")) story.append(bul("Post-chemoradiotherapy: planned ND for node-positive patients who had CRT; or PET-CT-guided ND only for incomplete response")) story.append(sec("Surgical Technique (Selective ND Levels I-III - example for oral cavity)")) story.append(bul("Incision: MacFee (parallel neck incisions) or modified Schobinger/apron flap; preserve platysma")) story.append(bul("Identify and protect marginal mandibular nerve of VII (injury = drooping corner of mouth)")) story.append(bul("Dissect lymphofatty tissue off SCM, IJV, submandibular triangle; define posterior triangle")) story.append(bul("Identify and preserve: CN XI (exits at Erb's point, level Va), CN XII, phrenic nerve, vagus nerve, thoracic duct (left side level IV)")) story.append(bul("Remove submandibular gland if level Ib included (assess facial artery, lingual nerve, hypoglossal nerve)")) story.append(bul("Drain insertion: closed suction drain x24-48 hours")) story.append(sec("Complications")) story.append(make_table([th('Complication'),th('Structure Injured/Cause'),th('Management')],[ ['Shoulder dysfunction','CN XI (spinal accessory) injury - weakness of trapezius','Physiotherapy; nerve repair if divided; MRND to preserve XI'], ['Corner of mouth droop','Marginal mandibular branch CN VII','Usually temporary; nerve repair if divided; gold weight for eye'], ['Chyle leak (left neck)','Thoracic duct injury at level IV','Conservative (low-fat diet, octreotide); re-explore if high output'], ['Cerebral oedema','Bilateral IJV ligation (simultaneous)','Never ligate both IJVs simultaneously; staged procedures'], ['Haematoma','Inadequate haemostasis','Surgical drainage; airway protection'], ['Skin flap necrosis','Devascularisation from incisions','Wound management; debridement; secondary healing'], ['Horner\'s syndrome','Sympathetic chain injury (deep dissection)','Usually permanent; ptosis surgery if severe'], ],cw=[3.5*cm,5.5*cm,7*cm])) story.append(pearl("cN0 neck with >20% occult nodal risk (most T2+ oral cavity) = elective selective ND. CN XI preservation is critical - shoulder dysfunction severely impacts quality of life. Never ligate bilateral IJVs simultaneously.")) story.append(div()) # ====== CH7 PENETRATING TRAUMA ====== story.append(PageBreak()) story+=ch_header(7,"Penetrating Trauma of the Upper GI Tract","Upper GI Surgery",CHAPTER_COLORS[6]) story.append(Paragraph("Q. Discuss the surgical management of penetrating trauma of the upper gastrointestinal tract.",q_s)) story.append(sec("Introduction")) story.append(para("Penetrating trauma of the upper gastrointestinal tract encompasses injuries to the oesophagus, stomach, duodenum, proximal small bowel, liver, spleen and pancreas caused by stab wounds (SW) or gunshot wounds (GSW). GSW carry higher mortality and injury burden due to cavitation and blast effect. Penetrating abdominal trauma requires rapid triage, haemodynamic assessment, and early surgical decision-making. The principles of Damage Control Surgery (DCS) have revolutionised the management of severely injured patients and form the cornerstone of modern trauma surgery.")) story.append(sec("Initial Assessment & Resuscitation")) story.append(bul("Primary Survey (ATLS): Airway with C-spine → Breathing → Circulation → Disability → Exposure")) story.append(bul("Haemodynamic status determines management pathway:")) story.append(sbul("UNSTABLE (SBP<90, HR>120, not responding to resuscitation): Immediate emergency laparotomy - NO CT")) story.append(sbul("TRANSIENT RESPONDER: Laparotomy after brief resuscitation")) story.append(sbul("STABLE: Trauma CT (pan-scan: chest + abdomen + pelvis with IV contrast) then definitive management")) story.append(bul("FAST scan (Focused Assessment with Sonography for Trauma): first-line bedside imaging; detects free fluid in Morrison's pouch, splenorenal space, pelvic pouch, pericardium; sensitivity 79-95% for haemoperitoneum")) story.append(bul("Resuscitation: permissive hypotension (SBP 80-90 mmHg until surgical haemostasis); 1:1:1 ratio of PRBC:FFP:platelets (damage control resuscitation); Tranexamic acid 1g IV within 3 hours (CRASH-2 trial)")) story.append(sec("The Lethal Triad and Damage Control Surgery")) story.append(bul("Lethal Triad: Hypothermia (<35°C) + Metabolic Acidosis (pH <7.3, lactate >5) + Coagulopathy (INR >1.5) → drives further haemorrhage and death in a vicious cycle")) story.append(bul("Damage Control Surgery (DCS): 3-phase approach for the severely injured patient:")) story.append(sbul("PHASE 1 (Theatre): Abbreviated laparotomy: (i) Haemorrhage control - packing, clamping, ligation; (ii) Contamination control - staple/suture bowel ends, close perforations temporarily; (iii) Temporary abdominal closure (TAC) - Bogota bag, vacuum-assisted wound device (VAWCM); Patient transferred to ICU")) story.append(sbul("PHASE 2 (ICU): Resuscitation: rewarm, correct coagulopathy (FFP, cryo, platelets, TXA), correct acidosis, organ support")) story.append(sbul("PHASE 3 (Theatre 24-72h): Planned re-laparotomy: unpack, re-examine all organs, restore bowel continuity, definitive repairs, fascial closure or plan for further procedures")) story.append(bul("Open abdomen management: NPWT (negative pressure wound therapy) changes every 24-72h until closure")) story.append(sec("Organ-Specific Management")) story.append(make_table([th('Organ'),th('AAST Grade'),th('Surgical Management')],[ ['Oesophagus','I-II: mucosal/partial; III: transmural; IV: circumferential; V: devascularised', 'Grades I-II: primary repair (2-layer) + drainage within 24h. Grade III-IV: primary repair over NGT or T-tube if <24h; oesophageal stenting for delayed presentation. Late (>24h, contaminated): drainage + TPN + delayed repair/oesophagectomy. Always drain.'], ['Stomach','I-II: haematoma/laceration; III-IV: tissue loss; V: total disruption', 'Most can be primarily repaired (2-layer closure). Partial gastrectomy for Grade IV-V or antral injuries. Total gastrectomy rarely needed acutely.'], ['Duodenum','I: haematoma; II: laceration <50%; III: >50%; IV: massive; V: disruption', 'Grade I-II: primary repair + nasogastric decompression. Grade III: lateral duodenoplasty or duodenojejunostomy. Grade IV-V: pyloric exclusion (staple pylorus + gastrojejunostomy) or Whipple (pancreaticoduodenectomy) in stable patients. Always drain periduodenal space.'], ['Liver','I-III: lacerations; IV: lobar; V: hepatic vein/retrohepatic IVC; VI: hepatic avulsion', 'DCS mainstay: perihepatic PACKING + temporary closure. Selective hepatic artery ligation. Formal anatomic hepatectomy ONLY in stable patients (delayed). Pringle manoeuvre for intraoperative haemostasis.'], ['Pancreas','I-II: contusion/laceration without duct; III-IV: distal duct injury; V: proximal duct/head', 'Grade I-II (duct intact): drain widely. Grade III (distal duct): distal pancreatectomy ± splenectomy. Grade IV-V (proximal): drainage + delayed pancreaticoduodenectomy if stable. DCS: drain and close, delayed definitive surgery.'], ['Spleen','I-V graded by laceration depth and vascular involvement', 'Haemodynamically stable + Grade I-III: non-operative management (NOM) with CT and HDU monitoring. Grade IV-V or haemodynamically unstable: splenectomy (DCS). Post-splenectomy: vaccinate against encapsulated organisms (pneumococcus, Hib, meningococcus).'], ],cw=[2*cm,4*cm,10*cm])) story.append(sec("Complications of Penetrating Abdominal Trauma")) story.append(bul("Haemorrhage: primary (immediate); secondary (stress ulcer or pseudoaneurysm rupture)")) story.append(bul("Septic complications: anastomotic leak, abscess, enteric fistula, peritonitis")) story.append(bul("Abdominal Compartment Syndrome (ACS): IAP >20 mmHg + new organ dysfunction; treat with decompressive laparotomy")) story.append(bul("Missed injury: common after multiple injuries; planned re-look essential")) story.append(bul("Wound complications: wound dehiscence, SSI (Class IV contaminated wound)")) story.append(pearl("LETHAL TRIAD = Hypothermia + Acidosis + Coagulopathy → DCS not definitive repair. Unstable patient = straight to theatre, no CT. Permissive hypotension (SBP 80-90) until surgical haemostasis.")) story.append(div()) print("Chapters 1-7 written. Now chapters 8-14...") PYEOF