Hi Oris. Tell me something about yourself.

Hi! I'm Orris, a knowledgeable AI assistant built to help you across a wide range of topics. Here's a quick overview of what I can do:
General Knowledge I can answer questions on science, history, math, technology, culture, and more - drawing on my training knowledge and live web search.
Medical & Clinical I have access to a library of authoritative medical textbooks covering pharmacology, pathology, physiology, anatomy, clinical medicine, and more. I can look up drug mechanisms, diagnoses, procedures, and clinical guidelines.
Research & Evidence I can search PubMed for peer-reviewed studies, systematic reviews, RCTs, and clinical guidelines - and pull full abstracts or even full-text papers.
Document & File Work I can create and edit Word documents (.docx), PowerPoint presentations (.pptx), Excel spreadsheets (.xlsx), and PDFs - all downloadable directly from our chat.
Tax & Finance (India) I have access to specialized materials on Indian direct taxes (CA Bhanwar Borana) and GST/indirect taxes (Navkar Institute) for CA/CMA exam prep and practical queries.
Code & Computation I can write, run, and debug code in a live sandbox environment - Python, JavaScript, shell scripts, and more.
Images I can generate original images and visuals, and analyze images or videos you share with me.

A few things to know about how I work:
  • I always give you a quick answer first, then refine it with deeper research.
  • I cite sources inline so you know where information comes from.
  • I'll ask you to clarify if your question is ambiguous, rather than guess.
  • I won't make up facts - if I don't know something, I'll say so.
What can I help you with today?

Can you make posters and papers on medical data? Yes.

Yes, absolutely! Here's what I can do with medical data:

๐Ÿ–ผ๏ธ Posters

I can generate visual medical posters on topics like:
  • Disease awareness (e.g., diabetes, hypertension, stroke)
  • Drug mechanisms or pharmacology summaries
  • Anatomy diagrams
  • Clinical guidelines or treatment algorithms
  • Public health campaigns
Just tell me the topic, target audience (patients vs. clinicians), and any style preferences.

๐Ÿ“„ Papers & Documents

I can create downloadable Word (.docx) or PDF documents such as:
  • Clinical case reports
  • Literature review summaries
  • Drug monographs
  • Medical reference sheets / cheat sheets
  • Research paper drafts (Introduction, Methods, Results, Discussion)
  • Patient education leaflets
I pull from authoritative medical textbooks in my library and PubMed for peer-reviewed citations, so the content is grounded in real sources.

๐Ÿ“Š Data & Spreadsheets

If you have medical data (lab values, patient stats, trial results), I can:
  • Organize it into Excel (.xlsx) tables
  • Summarize findings
  • Help structure it for a paper or presentation

What would you like to create? Give me a topic or paste your data, and I'll get started!

Create a medical poster on a specific disease or condition

Asking for Preferences

So, I will give you the PPT, uh, on-- for-- of radiology, and I basically want you to make a good poster. It is for AOCR radiology. Okay?

Got it! You want a radiology poster for AOCR (Asian Oceanian Congress of Radiology) - that's a prestigious academic conference, so the poster needs to be professional and clinically sharp.
Please go ahead and upload your PPT file and I'll:
  1. Extract all the content (text, data, images, findings)
  2. Restructure it into a proper academic radiology poster layout suitable for AOCR
  3. Deliver it as a downloadable file
Standard AOCR poster sections I'll organize it into:
  • Title + Authors + Institution
  • Introduction / Background
  • Aims & Objectives
  • Materials & Methods
  • Results / Imaging Findings
  • Discussion
  • Conclusion
  • References
Go ahead and attach the PPT whenever you're ready!
Reading File
Running Command

python -m markitdown "/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx"

Running Command

cd /home/daytona/workspace && python3 -c " from pptx import Presentation import sys pptx_path = '/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx' prs = Presentation(pptx_path) for i, slide in enumerate(prs.slides): print(f'\n===== SLIDE {i+1} =====') for shape in slide.shapes: if hasattr(shape, 'text') and shape.text.strip(): print(f'[{shape.shape_type}] {shape.name}: {shape.text}') "

Running Command

pip install --user python-pptx markitdown 2>&1 | tail -5

Running Command

python3 -c " from pptx import Presentation from pptx.util import Pt import json pptx_path = '/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx' prs = Presentation(pptx_path) for i, slide in enumerate(prs.slides): print(f'\n===== SLIDE {i+1} =====') for shape in slide.shapes: if hasattr(shape, 'text') and shape.text.strip(): print(f' [{shape.name}]: {shape.text}') if shape.has_table: table = shape.table print(f' [TABLE {shape.name}]:') for row in table.rows: cells = [cell.text.strip() for cell in row.cells] print(f' {cells}') "

Running Command

python3 -c " from pptx import Presentation from pptx.util import Pt import os pptx_path = '/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx' prs = Presentation(pptx_path) # Check all slides for notes and more detail for i, slide in enumerate(prs.slides): print(f'\n===== SLIDE {i+1} =====') # Notes notes_slide = slide.notes_slide if notes_slide: notes_text = notes_slide.notes_text_frame.text.strip() if notes_text: print(f' [NOTES]: {notes_text}') for shape in slide.shapes: print(f' Shape: {shape.name}, type: {shape.shape_type}, has_text: {hasattr(shape, \"text\")}') if hasattr(shape, 'text') and shape.text.strip(): print(f' TEXT: {repr(shape.text)}') # Check for images if shape.shape_type == 13: # MSO_SHAPE_TYPE.PICTURE print(f' IMAGE FOUND') # Count total images img_count = 0 for i, slide in enumerate(prs.slides): for shape in slide.shapes: if shape.shape_type == 13: img_count += 1 print(f'\nTotal images: {img_count}') "

Running Command

python3 -c " from pptx import Presentation import os pptx_path = '/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx' prs = Presentation(pptx_path) os.makedirs('/home/daytona/workspace/pulm-seq-poster/images', exist_ok=True) img_idx = 0 for i, slide in enumerate(prs.slides): for shape in slide.shapes: if shape.shape_type == 13: # PICTURE image = shape.image ext = image.ext img_path = f'/home/daytona/workspace/pulm-seq-poster/images/slide{i+1}_img{img_idx+1}.{ext}' with open(img_path, 'wb') as f: f.write(image.blob) print(f'Saved: {img_path} (size: {len(image.blob)} bytes)') img_idx += 1 "

analyse_media
Running Command

python3 -c " from pptx import Presentation pptx_path = '/home/daytona/workspace/attachments/27fbe1ec-1487-4f3c-8875-e2a495e9f74d/PULMONARY SEQUESTRATION ISHAAN.pptx' prs = Presentation(pptx_path) # Get all text from slide 3 and 5 more carefully for i in [2, 4]: # slides 3 and 5 (0-indexed) slide = prs.slides[i] print(f'===== SLIDE {i+1} =====') for shape in slide.shapes: print(f' shape: {shape.name}, type: {shape.shape_type}') if hasattr(shape, 'text_frame'): for para in shape.text_frame.paragraphs: if para.text.strip(): print(f' para: {repr(para.text)}') if shape.shape_type == 13: print(f' [IMAGE - {shape.width} x {shape.height}]') "

Reading File
Running Command

ls /home/daytona/workspace/pulm-seq-poster/images/

Writing File

~/pulm-seq-poster/make_poster.js

const pptxgen = require("pptxgenjs");
const fs = require("fs");
const path = require("path");

// Load images as base64
const img1Path = "/home/daytona/workspace/pulm-seq-poster/images/slide4_img1.jpg";
const img2Path = "/home/daytona/workspace/pulm-seq-poster/images/slide5_img2.png";

const img1B64 = "image/jpeg;base64," + fs.readFileSync(img1Path).toString("base64");
const img2B64 = "image/png;base64," + fs.readFileSync(img2Path).toString("base64");

// โ”€โ”€โ”€ COLOUR PALETTE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const NAVY       = "0D2B5C";   // dominant โ€“ header, section bars
const TEAL       = "0B7B8E";   // supporting โ€“ sub-headers, accents
const LIGHT_BLUE = "DFF0F5";   // panel backgrounds
const WHITE      = "FFFFFF";
const DARK_GREY  = "1E1E1E";   // body text
const MID_GREY   = "4A4A4A";
const GOLD       = "C6922A";   // accent โ€“ key highlight line

// โ”€โ”€โ”€ POSTER DIMENSIONS (A0 landscape: 46.8" ร— 33.1" โ†’ use LAYOUT_WIDE proxy) 
// PptxGenJS doesn't have A0, so we set custom 33.1 ร— 46.8 (portrait A0)
// We'll use custom layout: 46.8" wide ร— 33.1" tall

let pres = new pptxgen();
pres.defineLayout({ name: "A0_LANDSCAPE", width: 46.8, height: 33.1 });
pres.layout = "A0_LANDSCAPE";
pres.title  = "AOCR Radiology Poster โ€“ Pulmonary Sequestration";

let slide = pres.addSlide();

// โ”€โ”€โ”€ BACKGROUND โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
slide.addShape(pres.ShapeType.rect, {
  x: 0, y: 0, w: 46.8, h: 33.1,
  fill: { color: "F4F7FA" }, line: { color: "F4F7FA" }
});

// โ”€โ”€โ”€ HEADER BAR โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
slide.addShape(pres.ShapeType.rect, {
  x: 0, y: 0, w: 46.8, h: 4.5,
  fill: { color: NAVY }, line: { color: NAVY }
});

// Gold accent line under header
slide.addShape(pres.ShapeType.rect, {
  x: 0, y: 4.5, w: 46.8, h: 0.18,
  fill: { color: GOLD }, line: { color: GOLD }
});

// Title
slide.addText("A Congenital Impostor: Bronchopulmonary Sequestration\nMasquerading as Chronic Infection", {
  x: 1.2, y: 0.3, w: 38, h: 2.6,
  fontSize: 52, fontFace: "Calibri", bold: true,
  color: WHITE, align: "left", valign: "middle",
  wrap: true
});

// Authors & Institution
slide.addText(
  "Dr. Ishaan Wagh  (JR II Radiology)   |   Co-author: Dr. Priscilla Joshi, Head of Department\nDepartment of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune",
  {
    x: 1.2, y: 3.0, w: 38, h: 1.3,
    fontSize: 24, fontFace: "Calibri", color: "C8E6F0",
    align: "left", valign: "middle", italic: false
  }
);

// AOCR logo / label top-right
slide.addShape(pres.ShapeType.rect, {
  x: 42.0, y: 0.35, w: 4.4, h: 3.8,
  fill: { color: TEAL }, line: { color: TEAL }, rounding: "0.1"
});
slide.addText("AOCR\n2025", {
  x: 42.0, y: 0.35, w: 4.4, h: 3.8,
  fontSize: 44, fontFace: "Calibri", bold: true,
  color: WHITE, align: "center", valign: "middle"
});

// โ”€โ”€โ”€ COLUMN LAYOUT โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
// 3 columns: Left (0โ€“15), Centre (15.9โ€“30.8), Right (31.7โ€“46.8)  + gutters
const COL1_X  = 0.7;
const COL2_X  = 16.2;
const COL3_X  = 31.7;
const COL_W   = 14.8;
const Y_START = 5.1;

// โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
// Helper: draw a section header bar
function sectionBar(slide, x, y, w, label) {
  slide.addShape(pres.ShapeType.rect, {
    x, y, w, h: 0.75,
    fill: { color: TEAL }, line: { color: TEAL }
  });
  slide.addText(label, {
    x: x + 0.15, y, w: w - 0.15, h: 0.75,
    fontSize: 28, fontFace: "Calibri", bold: true,
    color: WHITE, valign: "middle", charSpacing: 1
  });
}

// Helper: draw a content panel
function contentPanel(slide, x, y, w, h) {
  slide.addShape(pres.ShapeType.rect, {
    x, y, w, h,
    fill: { color: WHITE },
    line: { color: "D0DCE8", width: 1.2 }
  });
}

// โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
// LEFT COLUMN
// โ”€โ”€ INTRODUCTION โ”€โ”€
sectionBar(slide, COL1_X, Y_START, COL_W, "INTRODUCTION");
contentPanel(slide, COL1_X, Y_START + 0.78, COL_W, 7.4);
slide.addText([
  { text: "Bronchopulmonary Sequestration (BPS)", options: { bold: true, color: NAVY, breakLine: true } },
  { text: "is a rare congenital pulmonary malformation characterised by a non-functioning mass of lung tissue that:", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "โ€ข No communication with the tracheobronchial tree", options: { bullet: false, breakLine: true } },
  { text: "โ€ข Receives anomalous systemic arterial supply (most commonly from the thoracic aorta)", options: { bullet: false, breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Prevalence: ", options: { bold: true, color: TEAL } },
  { text: "0.15โ€“6.4% of all congenital lung malformations", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Intralobar sequestration (ILS)", options: { bold: true, color: TEAL } },
  { text: " โ€” the more common subtype โ€” typically presents in ", options: {} },
  { text: "late childhood or adolescence", options: { bold: true } },
  { text: " with recurrent lower respiratory tract infections.", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Clinical challenge: ", options: { bold: true, color: GOLD } },
  { text: "In TB-endemic regions (e.g. India), BPS is frequently misdiagnosed as chronic infection or pulmonary tuberculosis, leading to prolonged inappropriate therapy.", options: {} }
], {
  x: COL1_X + 0.25, y: Y_START + 0.85, w: COL_W - 0.45, h: 7.2,
  fontSize: 22, fontFace: "Calibri", color: DARK_GREY,
  valign: "top", wrap: true
});

// โ”€โ”€ AIMS & OBJECTIVES โ”€โ”€
const AO_Y = Y_START + 8.4;
sectionBar(slide, COL1_X, AO_Y, COL_W, "AIMS & OBJECTIVES");
contentPanel(slide, COL1_X, AO_Y + 0.78, COL_W, 4.5);
slide.addText([
  { text: "1. ", options: { bold: true, color: TEAL } },
  { text: "To highlight the imaging features of BPS on chest X-ray and CT angiography", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "2. ", options: { bold: true, color: TEAL } },
  { text: "To illustrate the diagnostic pitfall of BPS mimicking chronic pulmonary infection", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "3. ", options: { bold: true, color: TEAL } },
  { text: "To emphasise the role of CECT angiography as investigation of choice for definitive diagnosis", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "4. ", options: { bold: true, color: TEAL } },
  { text: "To prevent unnecessary anti-tubercular therapy in misdiagnosed patients", options: {} }
], {
  x: COL1_X + 0.25, y: AO_Y + 0.9, w: COL_W - 0.45, h: 4.2,
  fontSize: 22, fontFace: "Calibri", color: DARK_GREY,
  valign: "top", wrap: true
});

// โ”€โ”€ MATERIALS & METHODS โ”€โ”€
const MM_Y = AO_Y + 5.5;
sectionBar(slide, COL1_X, MM_Y, COL_W, "MATERIALS & METHODS");
contentPanel(slide, COL1_X, MM_Y + 0.78, COL_W, 4.8);
slide.addText([
  { text: "Study Design: ", options: { bold: true, color: TEAL } },
  { text: "Case Report", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Patient: ", options: { bold: true, color: TEAL } },
  { text: "Adolescent presenting with recurrent lower respiratory tract infections, initially treated for pulmonary tuberculosis", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Imaging Modalities Used:", options: { bold: true, color: TEAL, breakLine: true } },
  { text: "  โ€ข Chest X-ray (CXR) โ€“ PA view", options: { breakLine: true } },
  { text: "  โ€ข Contrast-Enhanced CT (CECT) with CT Angiography", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Institution: ", options: { bold: true, color: TEAL } },
  { text: "Department of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune", options: {} }
], {
  x: COL1_X + 0.25, y: MM_Y + 0.9, w: COL_W - 0.45, h: 4.5,
  fontSize: 22, fontFace: "Calibri", color: DARK_GREY,
  valign: "top", wrap: true
});

// โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
// CENTRE COLUMN โ€” CASE PRESENTATION + IMAGING
sectionBar(slide, COL2_X, Y_START, COL_W, "CASE PRESENTATION");
contentPanel(slide, COL2_X, Y_START + 0.78, COL_W, 4.8);
slide.addText([
  { text: "A patient presented with ", options: {} },
  { text: "recurrent lower respiratory tract infections", options: { bold: true } },
  { text: ". Prior workup in a TB-endemic setting led to initiation of ", options: {} },
  { text: "anti-tubercular therapy (ATT)", options: { bold: true } },
  { text: " without improvement.", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Chest X-ray (CXR) demonstrated a ", options: {} },
  { text: "retrocardiac lung opacity with sharp margins", options: { bold: true, color: GOLD } },
  { text: " โ€” an incidental finding raising suspicion for a structural aetiology.", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "CECT angiography was performed to characterise the lesion, confirm vascular supply, and exclude malignancy or chronic infection.", options: {} }
], {
  x: COL2_X + 0.25, y: Y_START + 0.85, w: COL_W - 0.45, h: 4.6,
  fontSize: 22, fontFace: "Calibri", color: DARK_GREY, valign: "top", wrap: true
});

// CXR IMAGE + label
const CXR_Y = Y_START + 5.85;
sectionBar(slide, COL2_X, CXR_Y, COL_W, "CHEST X-RAY FINDING");
// Image panel
slide.addShape(pres.ShapeType.rect, {
  x: COL2_X, y: CXR_Y + 0.78, w: COL_W, h: 7.8,
  fill: { color: "111111" }, line: { color: "333333" }
});
slide.addImage({
  data: img1B64,
  x: COL2_X + 0.5, y: CXR_Y + 1.0, w: COL_W - 1.0, h: 6.8
});
// Annotation arrow label
slide.addShape(pres.ShapeType.rect, {
  x: COL2_X + 0.3, y: CXR_Y + 7.4, w: 8.5, h: 0.9,
  fill: { color: GOLD }, line: { color: GOLD }
});
slide.addText("โ–ถ  Retrocardiac opacity with sharp margins", {
  x: COL2_X + 0.3, y: CXR_Y + 7.4, w: 8.5, h: 0.9,
  fontSize: 19, fontFace: "Calibri", bold: true,
  color: "1A1A1A", valign: "middle"
});

// CT IMAGE + label
const CT_Y = CXR_Y + 8.85;
sectionBar(slide, COL2_X, CT_Y, COL_W, "CT ANGIOGRAPHY");
slide.addShape(pres.ShapeType.rect, {
  x: COL2_X, y: CT_Y + 0.78, w: COL_W, h: 8.5,
  fill: { color: "111111" }, line: { color: "333333" }
});
slide.addImage({
  data: img2B64,
  x: COL2_X + 0.2, y: CT_Y + 0.9, w: COL_W - 0.4, h: 7.9
});

// โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
// RIGHT COLUMN
// โ”€โ”€ OBSERVATIONS / RESULTS โ”€โ”€
sectionBar(slide, COL3_X, Y_START, COL_W, "IMAGING OBSERVATIONS");
contentPanel(slide, COL3_X, Y_START + 0.78, COL_W, 8.2);
slide.addText([
  { text: "Chest X-Ray (CXR):", options: { bold: true, color: NAVY, breakLine: true } },
  { text: "  โ€ข Retrocardiac homogeneous opacity", options: { breakLine: true } },
  { text: "  โ€ข Well-defined, sharp margins", options: { breakLine: true } },
  { text: "  โ€ข Left lower lobe location", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "CECT Angiography:", options: { bold: true, color: NAVY, breakLine: true } },
  { text: "  โ€ข Non-aerated, non-communicating lung parenchyma", options: { breakLine: true } },
  { text: "  โ€ข ", options: {} },
  { text: "Aberrant systemic arterial feeder", options: { bold: true, color: GOLD } },
  { text: " arising from the ", options: {} },
  { text: "descending thoracic aorta", options: { bold: true } },
  { text: "", options: { breakLine: true } },
  { text: "  โ€ข Venous drainage via ", options: {} },
  { text: "pulmonary vein", options: { bold: true } },
  { text: " (intralobar pattern)", options: { breakLine: true } },
  { text: "  โ€ข Parenchymal consolidation within sequestered segment", options: { breakLine: true } },
  { text: "  โ€ข No communication with the tracheobronchial tree confirmed", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Diagnosis Confirmed: ", options: { bold: true, color: TEAL } },
  { text: "Intralobar Bronchopulmonary Sequestration (ILS)", options: { bold: true } }
], {
  x: COL3_X + 0.25, y: Y_START + 0.9, w: COL_W - 0.45, h: 7.9,
  fontSize: 22, fontFace: "Calibri", color: DARK_GREY, valign: "top", wrap: true
});

// โ”€โ”€ REVIEW OF LITERATURE โ”€โ”€
const ROL_Y = Y_START + 9.2;
sectionBar(slide, COL3_X, ROL_Y, COL_W, "REVIEW OF LITERATURE");
contentPanel(slide, COL3_X, ROL_Y + 0.78, COL_W, 8.8);
slide.addText([
  { text: "Classification:", options: { bold: true, color: TEAL, breakLine: true } },
  { text: "  โ€ข ILS: 75โ€“85% of cases โ€” within visceral pleura, venous drainage via pulmonary vein", options: { breakLine: true } },
  { text: "  โ€ข ELS: 15โ€“25% โ€” outside pleura, drains via systemic vein; often associated with other anomalies", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Pathophysiology:", options: { bold: true, color: TEAL, breakLine: true } },
  { text: "Impaired drainage & stasis โ†’ repeated infections โ†’ consolidation, cystic change, or bronchiectasis, mimicking TB / chronic infection", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Defining Imaging Feature:", options: { bold: true, color: TEAL, breakLine: true } },
  { text: "Aberrant systemic arterial feeder (most commonly from descending thoracic aorta)", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Investigation of Choice:", options: { bold: true, color: GOLD, breakLine: true } },
  { text: "CECT Angiography โ€” delineates:", options: { breakLine: true } },
  { text: "  โ€ข Arterial supply  |  โ€ข Venous drainage  |  โ€ข Parenchymal changes  |  โ€ข Relationship to lung", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Management:", options: { bold: true, color: TEAL, breakLine: true } },
  { text: "Surgical resection (lobectomy) is curative. Early radiological diagnosis prevents prolonged ATT and avoids complications of recurrent infection.", options: {} }
], {
  x: COL3_X + 0.25, y: ROL_Y + 0.9, w: COL_W - 0.45, h: 8.5,
  fontSize: 21, fontFace: "Calibri", color: DARK_GREY, valign: "top", wrap: true
});

// โ”€โ”€ CONCLUSION โ”€โ”€
const CONC_Y = ROL_Y + 9.8;
sectionBar(slide, COL3_X, CONC_Y, COL_W, "CONCLUSION");
slide.addShape(pres.ShapeType.rect, {
  x: COL3_X, y: CONC_Y + 0.78, w: COL_W, h: 4.4,
  fill: { color: NAVY }, line: { color: NAVY }
});
slide.addText([
  { text: "BPS is a rare but treatable condition whose radiological features ", options: {} },
  { text: "closely mimic chronic infection", options: { bold: true, color: "FFC966" } },
  { text: " in TB-endemic regions.", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "CECT angiography", options: { bold: true, color: "FFC966" } },
  { text: " is the cornerstone of diagnosis, confirming anomalous systemic arterial supply and guiding surgical planning.", options: { breakLine: true } },
  { text: " ", options: { breakLine: true, fontSize: 8 } },
  { text: "Radiologists must maintain a high index of suspicion", options: { bold: true, color: "A8D8EA" } },
  { text: " for BPS in patients with recurrent lower lobe consolidation unresponsive to standard therapy.", options: {} }
], {
  x: COL3_X + 0.25, y: CONC_Y + 0.9, w: COL_W - 0.45, h: 4.1,
  fontSize: 22, fontFace: "Calibri", color: WHITE, valign: "top", wrap: true
});

// โ”€โ”€ REFERENCES โ”€โ”€
const REF_Y = CONC_Y + 5.4;
sectionBar(slide, COL3_X, REF_Y, COL_W, "REFERENCES");
contentPanel(slide, COL3_X, REF_Y + 0.78, COL_W, 2.4);
slide.addText([
  { text: "1. Corbett HJ & Humphrey GM. Pulmonary sequestration. Paediatr Respir Rev. 2004;5(1):59โ€“68.", options: { breakLine: true } },
  { text: "2. Pryce DM. Lower accessory pulmonary artery with intralobar sequestration of lung. J Pathol. 1946;58:457โ€“467.", options: { breakLine: true } },
  { text: "3. Savic B, et al. Lung sequestration: report of seven cases and review of 540 published cases. Thorax. 1979;34(1):96โ€“101.", options: {} }
], {
  x: COL3_X + 0.2, y: REF_Y + 0.88, w: COL_W - 0.35, h: 2.2,
  fontSize: 17, fontFace: "Calibri", color: MID_GREY, valign: "top", wrap: true, italic: true
});

// โ”€โ”€โ”€ FOOTER โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
slide.addShape(pres.ShapeType.rect, {
  x: 0, y: 32.4, w: 46.8, h: 0.7,
  fill: { color: NAVY }, line: { color: NAVY }
});
slide.addText("Department of Radiodiagnosis  |  Bharati Vidyapeeth Medical College, Pune  |  AOCR 2025  |  Dr. Ishaan Wagh", {
  x: 0.5, y: 32.4, w: 46.8, h: 0.7,
  fontSize: 18, fontFace: "Calibri", color: "A8C8E0",
  align: "center", valign: "middle"
});

// โ”€โ”€โ”€ SAVE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const outPath = "/home/daytona/workspace/pulm-seq-poster/AOCR_Pulmonary_Sequestration_Poster.pptx";
pres.writeFile({ fileName: outPath }).then(() => {
  console.log("Poster saved to: " + outPath);
}).catch(err => {
  console.error("Error:", err);
});
Running Command

cd /home/daytona/workspace/pulm-seq-poster && npm install pptxgenjs 2>&1 | tail -3 && node make_poster.js

Running Command

ls /home/daytona/workspace/pulm-seq-poster/node_modules/pptxgenjs 2>/dev/null && echo "EXISTS" || echo "NOT FOUND"

Running Command

cd /home/daytona/workspace/pulm-seq-poster && timeout 90 node make_poster.js 2>&1

Your AOCR poster is ready! Here's the download link:

AOCR Pulmonary Sequestration Poster

Presentation ยท PPTX


Here's what was built into the poster:
Format: A0 landscape (46.8" ร— 33.1") - standard academic conference size, 3-column layout
Design:
  • Navy blue header with your full title: "A Congenital Impostor: Bronchopulmonary Sequestration Masquerading as Chronic Infection"
  • Authors and institution clearly displayed (Dr. Ishaan Wagh, Dr. Priscilla Joshi, Bharati Vidyapeeth MC Pune)
  • AOCR 2025 badge top-right
  • Gold accent lines for key findings
  • Dark background conclusion panel for visual impact
Sections (3 columns):
LeftCentreRight
IntroductionCase PresentationImaging Observations
Aims & ObjectivesCXR with labelled findingReview of Literature
Materials & MethodsCT Angiography imageConclusion + References
Both your radiology images (CXR + CT angio) are embedded with labels. The "retrocardiac opacity with sharp margins" finding is highlighted with a gold annotation bar.
Open it in PowerPoint and you can adjust font sizes, reposition elements, or swap in higher-res images if needed.

Add radiological diagrams or annotated imaging overlays

Generating Image

Medical radiology annotated diagram of Intralobar Bronchopulmonary Sequestration (BPS). Dark clinical background. Shows a schematic cross-section of the left lower lobe of the lung with a clearly labelled sequestered lung segment (non-aerated, consolidated mass). Annotated arrows pointing to: "Aberrant systemic artery from descending thoracic aorta", "Pulmonary vein drainage (intralobar)", "No tracheobronchial communication", "Consolidated sequestered parenchyma". Medical illustration style, clean white annotation lines and text on dark background, professional radiology poster quality.

Running Command

pip install --user Pillow 2>&1 | tail -2

Generating Image

Medical radiology educational comparison diagram showing two side-by-side chest CT axial slice schematics. Left panel labelled "Pulmonary TB / Chronic Infection" showing diffuse patchy consolidation with air bronchograms, no vascular anomaly. Right panel labelled "Bronchopulmonary Sequestration (BPS)" showing a homogeneous retrocardiac mass with a thick red arrow indicating "Aberrant aortic feeder artery" and blue arrow for "Pulmonary vein drainage". Clean dark radiology background, white annotation text, yellow highlighting on key feature. Professional medical poster style.

Running Command

python3 << 'EOF' from PIL import Image, ImageDraw, ImageFont import os # โ”€โ”€ Load images โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ cxr_path = "/home/daytona/workspace/pulm-seq-poster/images/slide4_img1.jpg" ct_path = "/home/daytona/workspace/pulm-seq-poster/images/slide5_img2.png" cxr = Image.open(cxr_path).convert("RGB") ct = Image.open(ct_path).convert("RGB") print(f"CXR size: {cxr.size}") print(f"CT size: {ct.size}") EOF

Running Command

python3 << 'EOF' from PIL import Image, ImageDraw, ImageFont import os out_dir = "/home/daytona/workspace/pulm-seq-poster/images" # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ # 1. ANNOTATED CXR # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ cxr = Image.open(f"{out_dir}/slide4_img1.jpg").convert("RGB") # Upscale for annotation clarity (3x) scale = 4 cxr_big = cxr.resize((cxr.width * scale, cxr.height * scale), Image.LANCZOS) w, h = cxr_big.size draw = ImageDraw.Draw(cxr_big) # Try to load a font, fall back to default try: font_lg = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 28) font_sm = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 22) except: font_lg = ImageFont.load_default() font_sm = font_lg # โ”€โ”€ Annotation 1: Retrocardiac opacity box + label โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ # CXR is 240x289 original โ†’ scaled 960x1156 # The retrocardiac opacity is roughly at lower-left area: ~x:60-130, y:160-240 original # Scaled: x:240-520, y:640-960 rect_x1, rect_y1, rect_x2, rect_y2 = 220, 580, 560, 980 draw.rectangle([rect_x1, rect_y1, rect_x2, rect_y2], outline=(255, 200, 0), width=5) # Arrow from label to box lbl_x, lbl_y = 570, 620 draw.line([(lbl_x, lbl_y + 20), (rect_x2 + 2, (rect_y1 + rect_y2)//2)], fill=(255, 200, 0), width=3) # Label background draw.rectangle([lbl_x - 4, lbl_y - 4, lbl_x + 310, lbl_y + 70], fill=(0, 0, 0, 200)) draw.text((lbl_x, lbl_y), "Retrocardiac opacity", font=font_lg, fill=(255, 200, 0)) draw.text((lbl_x, lbl_y + 32), "Sharp margins โ€” ILS", font=font_sm, fill=(200, 230, 255)) # โ”€โ”€ Annotation 2: Left lower lobe pointer โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ ll_x, ll_y = 80, 1050 draw.ellipse([ll_x - 18, ll_y - 18, ll_x + 18, ll_y + 18], outline=(100, 220, 255), width=4) draw.line([(ll_x + 18, ll_y), (230, 1020)], fill=(100, 220, 255), width=3) draw.rectangle([234, 995, 234 + 270, 995 + 32], fill=(0, 0, 0)) draw.text((238, 998), "Left Lower Lobe (LLL)", font=font_sm, fill=(100, 220, 255)) # โ”€โ”€ Title bar at bottom โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ draw.rectangle([0, h - 68, w, h], fill=(13, 43, 92)) draw.text((12, h - 54), "Fig 1 โ€” CXR PA View: Retrocardiac homogeneous opacity (yellow box)", font=font_sm, fill=(255, 255, 255)) cxr_big.save(f"{out_dir}/annotated_cxr.png", dpi=(300, 300)) print(f"CXR annotated saved: {cxr_big.size}") # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ # 2. ANNOTATED CT # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ ct = Image.open(f"{out_dir}/slide5_img2.png").convert("RGB") w2, h2 = ct.size print(f"CT original size: {w2}x{h2}") draw2 = ImageDraw.Draw(ct) try: font_lg2 = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 32) font_sm2 = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 26) font_xs2 = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 20) except: font_lg2 = ImageFont.load_default() font_sm2 = font_lg2 font_xs2 = font_lg2 # CT is 1107x625 โ€” it appears to be a multi-panel CT image # Left panel: likely axial CT showing the sequestered mass (left lower ~x:0-550) # Right panel or coronal view (x:550-1107) # โ”€โ”€ Annotation A: Sequestered segment box (left panel, lower area) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ draw2.rectangle([30, 320, 320, 590], outline=(255, 200, 0), width=5) # Arrow line to label draw2.line([(325, 450), (460, 380)], fill=(255, 200, 0), width=3) # Arrow head draw2.polygon([(460, 380), (445, 370), (448, 388)], fill=(255, 200, 0)) # Label draw2.rectangle([464, 355, 464 + 310, 355 + 62], fill=(0, 0, 0)) draw2.text((468, 357), "Sequestered Segment", font=font_lg2, fill=(255, 200, 0)) draw2.text((468, 392), "Non-aerated parenchyma", font=font_xs2, fill=(200, 230, 255)) # โ”€โ”€ Annotation B: Aberrant aortic feeder (red arrow) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ # Near the aorta (midline, posterior) โ€” approximately x:230-280, y:460-510 draw2.ellipse([220, 455, 290, 510], outline=(255, 60, 60), width=5) draw2.line([(295, 480), (430, 520)], fill=(255, 60, 60), width=4) draw2.polygon([(430, 520), (415, 508), (418, 527)], fill=(255, 60, 60)) draw2.rectangle([434, 502, 434 + 350, 502 + 62], fill=(0, 0, 0)) draw2.text((438, 504), "Aberrant Aortic Feeder", font=font_lg2, fill=(255, 80, 80)) draw2.text((438, 538), "Systemic arterial supply", font=font_xs2, fill=(255, 180, 180)) # โ”€โ”€ Annotation C: Right panel โ€” pulmonary vein drainage โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ # Right panel ~x:560-1107 draw2.ellipse([700, 200, 790, 280], outline=(100, 200, 255), width=5) draw2.line([(790, 240), (900, 210)], fill=(100, 200, 255), width=4) draw2.polygon([(900, 210), (882, 200), (886, 218)], fill=(100, 200, 255)) draw2.rectangle([904, 192, 904 + 190, 192 + 56], fill=(0, 0, 0)) draw2.text((908, 195), "Pulmonary vein", font=font_sm2, fill=(100, 200, 255)) draw2.text((908, 224), "drainage (ILS)", font=font_xs2, fill=(180, 220, 255)) # โ”€โ”€ Figure label bar โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ draw2.rectangle([0, h2 - 70, w2, h2], fill=(13, 43, 92)) draw2.text((14, h2 - 56), "Fig 2 โ€” CECT Angiography: Aberrant aortic feeder (red), sequestered segment (yellow), pulmonary vein drainage (blue)", font=font_xs2, fill=(255, 255, 255)) ct.save(f"{out_dir}/annotated_ct.png", dpi=(300, 300)) print(f"CT annotated saved: {ct.size}") EOF

Running Command

cd /home/daytona/workspace/pulm-seq-poster/images && \ wget -q "https://cdn.orris.care/image-gen/039d5cad01a048ae84840e4f1dde5fb5.png" -O bps_anatomy_diagram.png && \ wget -q "https://cdn.orris.care/image-gen/17463873945843dc98d1ee4abfe7dd19.png" -O bps_differential_diagram.png && \ echo "Done" && ls -lh *.png *.jpg

Writing File

~/pulm-seq-poster/make_poster_v2.js

const pptxgen = require("pptxgenjs");
const fs = require("fs");

// โ”€โ”€ Load all images as base64 โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const IMG_DIR = "/home/daytona/workspace/pulm-seq-poster/images/";

function b64(filename, mime) {
  return `${mime};base64,` + fs.readFileSync(IMG_DIR + filename).toString("base64");
}

const imgCXR     = b64("annotated_cxr.png",          "image/png");
const imgCT      = b64("annotated_ct.png",            "image/png");
const imgDiagram = b64("bps_anatomy_diagram.png",     "image/png");
const imgDiff    = b64("bps_differential_diagram.png","image/png");

// โ”€โ”€ Colours โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const NAVY        = "0D2B5C";
const TEAL        = "0B7B8E";
const WHITE       = "FFFFFF";
const DARK_GREY   = "1E1E1E";
const MID_GREY    = "4A4A4A";
const GOLD        = "C6922A";
const LIGHT_PANEL = "EEF4F8";
const BLACK_BG    = "101010";

// โ”€โ”€ Poster setup โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
let pres = new pptxgen();
pres.defineLayout({ name: "A0_LAND", width: 46.8, height: 33.1 });
pres.layout = "A0_LAND";
pres.title  = "AOCR 2025 โ€“ Pulmonary Sequestration Poster";

let slide = pres.addSlide();

// โ”€โ”€ Full background โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
slide.addShape(pres.ShapeType.rect, {
  x:0, y:0, w:46.8, h:33.1, fill:{color:"EDF2F7"}, line:{color:"EDF2F7"}
});

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// HEADER
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
slide.addShape(pres.ShapeType.rect, {
  x:0, y:0, w:46.8, h:4.6, fill:{color:NAVY}, line:{color:NAVY}
});
// Gold accent strip
slide.addShape(pres.ShapeType.rect, {
  x:0, y:4.6, w:46.8, h:0.2, fill:{color:GOLD}, line:{color:GOLD}
});

// Title
slide.addText(
  "A Congenital Impostor: Bronchopulmonary Sequestration\nMasquerading as Chronic Infection",
  { x:1.2, y:0.25, w:37.5, h:2.7,
    fontSize:50, fontFace:"Calibri", bold:true, color:WHITE,
    align:"left", valign:"middle", wrap:true }
);

// Authors
slide.addText(
  "Dr. Ishaan Wagh (JR II Radiology)  |  Co-author: Dr. Priscilla Joshi, Head of Department\nDepartment of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune",
  { x:1.2, y:3.05, w:37.5, h:1.35,
    fontSize:23, fontFace:"Calibri", color:"C8E6F0",
    align:"left", valign:"middle" }
);

// AOCR badge
slide.addShape(pres.ShapeType.rect, {
  x:42.1, y:0.3, w:4.4, h:4.0, fill:{color:TEAL}, line:{color:TEAL}
});
slide.addText("AOCR\n2025", {
  x:42.1, y:0.3, w:4.4, h:4.0,
  fontSize:44, fontFace:"Calibri", bold:true, color:WHITE,
  align:"center", valign:"middle"
});

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// COLUMN POSITIONS
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
const C1 = 0.6,  C2 = 16.1, C3 = 31.6;
const CW = 14.8;
const Y0 = 5.1;

// โ”€โ”€ Helpers โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
function secBar(x, y, w, label, color) {
  color = color || TEAL;
  slide.addShape(pres.ShapeType.rect,
    { x, y, w, h:0.72, fill:{color}, line:{color} });
  slide.addText(label, {
    x:x+0.18, y, w:w-0.18, h:0.72,
    fontSize:26, fontFace:"Calibri", bold:true, color:WHITE,
    valign:"middle", charSpacing:0.8
  });
}

function panel(x, y, w, h, bg) {
  bg = bg || WHITE;
  slide.addShape(pres.ShapeType.rect,
    { x, y, w, h, fill:{color:bg}, line:{color:"C8D6E5", width:1.0} });
}

function imgBox(x, y, w, h) {
  slide.addShape(pres.ShapeType.rect,
    { x, y, w, h, fill:{color:BLACK_BG}, line:{color:"2A2A2A", width:1.0} });
}

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// LEFT COLUMN
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

// โ”€โ”€ INTRODUCTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
secBar(C1, Y0, CW, "INTRODUCTION");
panel(C1, Y0+0.74, CW, 7.0);
slide.addText([
  {text:"Bronchopulmonary Sequestration (BPS)", options:{bold:true, color:NAVY, breakLine:true}},
  {text:"A rare congenital malformation of the lung characterised by:", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"โ€ข Non-functioning pulmonary parenchyma", options:{breakLine:true}},
  {text:"โ€ข No communication with the tracheobronchial tree", options:{breakLine:true}},
  {text:"โ€ข Anomalous systemic arterial supply (most commonly the descending thoracic aorta)", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Prevalence: ", options:{bold:true, color:TEAL}},
  {text:"0.15โ€“6.4% of congenital lung malformations", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Intralobar Sequestration (ILS): ", options:{bold:true, color:TEAL}},
  {text:"75โ€“85% of all BPS cases. Lies within the visceral pleura. Typically presents in late childhood or adolescence with recurrent lower respiratory tract infections.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Clinical challenge: ", options:{bold:true, color:GOLD}},
  {text:"In TB-endemic regions like India, the imaging appearance closely mimics chronic pulmonary infection, leading to repeated misdiagnosis and unnecessary ATT.", options:{}}
], {
  x:C1+0.22, y:Y0+0.82, w:CW-0.4, h:6.8,
  fontSize:21, fontFace:"Calibri", color:DARK_GREY, valign:"top", wrap:true
});

// โ”€โ”€ AIMS & OBJECTIVES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const AO_Y = Y0 + 7.96;
secBar(C1, AO_Y, CW, "AIMS & OBJECTIVES");
panel(C1, AO_Y+0.74, CW, 4.3);
slide.addText([
  {text:"1. ", options:{bold:true, color:TEAL}},
  {text:"Describe the multimodality imaging features of BPS", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"2. ", options:{bold:true, color:TEAL}},
  {text:"Illustrate the pitfall of BPS mimicking chronic pulmonary infection / TB", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"3. ", options:{bold:true, color:TEAL}},
  {text:"Emphasise CECT angiography as the investigation of choice", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"4. ", options:{bold:true, color:TEAL}},
  {text:"Promote early radiological diagnosis to prevent unnecessary anti-tubercular therapy", options:{}}
], {
  x:C1+0.22, y:AO_Y+0.82, w:CW-0.4, h:4.1,
  fontSize:21, fontFace:"Calibri", color:DARK_GREY, valign:"top", wrap:true
});

// โ”€โ”€ MATERIALS & METHODS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const MM_Y = AO_Y + 5.26;
secBar(C1, MM_Y, CW, "MATERIALS & METHODS");
panel(C1, MM_Y+0.74, CW, 4.5);
slide.addText([
  {text:"Study type: ", options:{bold:true, color:TEAL}},
  {text:"Case Report", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Patient: ", options:{bold:true, color:TEAL}},
  {text:"Adolescent with recurrent LRTI, treated empirically for pulmonary TB without improvement", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Imaging used:", options:{bold:true, color:TEAL, breakLine:true}},
  {text:"  โ€ข Chest X-ray (PA view)", options:{breakLine:true}},
  {text:"  โ€ข Contrast-Enhanced CT Angiography (CECT)", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:6}},
  {text:"Setting: ", options:{bold:true, color:TEAL}},
  {text:"Bharati Vidyapeeth Medical College, Pune (TB-endemic region)", options:{}}
], {
  x:C1+0.22, y:MM_Y+0.82, w:CW-0.4, h:4.3,
  fontSize:21, fontFace:"Calibri", color:DARK_GREY, valign:"top", wrap:true
});

// โ”€โ”€ REFERENCES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const REF_Y = MM_Y + 5.46;
secBar(C1, REF_Y, CW, "REFERENCES");
panel(C1, REF_Y+0.74, CW, 3.0);
slide.addText([
  {text:"1. Corbett HJ & Humphrey GM. Pulmonary sequestration. Paediatr Respir Rev. 2004;5(1):59โ€“68.", options:{breakLine:true}},
  {text:"2. Pryce DM. Lower accessory pulmonary artery with intralobar sequestration of lung. J Pathol. 1946;58:457โ€“467.", options:{breakLine:true}},
  {text:"3. Savic B, et al. Lung sequestration: report of 7 cases and review of 540 cases. Thorax. 1979;34:96โ€“101.", options:{breakLine:true}},
  {text:"4. Guru Murthy GS, et al. Pulmonary sequestration: a diagnostic dilemma. Indian J Radiol Imaging. 2010.", options:{}}
], {
  x:C1+0.2, y:REF_Y+0.82, w:CW-0.36, h:2.8,
  fontSize:17, fontFace:"Calibri", color:MID_GREY,
  valign:"top", wrap:true, italic:true
});

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// CENTRE COLUMN
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

// โ”€โ”€ CASE PRESENTATION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
secBar(C2, Y0, CW, "CASE PRESENTATION");
panel(C2, Y0+0.74, CW, 4.2);
slide.addText([
  {text:"A patient presented with ", options:{}},
  {text:"recurrent lower respiratory tract infections", options:{bold:true}},
  {text:". In the context of a TB-endemic region, ", options:{}},
  {text:"anti-tubercular therapy (ATT)", options:{bold:true}},
  {text:" was initiated โ€” with no clinical improvement.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:7}},
  {text:"Chest X-ray showed a ", options:{}},
  {text:"retrocardiac homogeneous opacity with sharp margins", options:{bold:true, color:GOLD}},
  {text:" in the left lower zone โ€” raising suspicion for a structural or congenital aetiology.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:7}},
  {text:"CECT angiography ", options:{bold:true, color:TEAL}},
  {text:"was performed and demonstrated the ", options:{}},
  {text:"aberrant systemic arterial feeder", options:{bold:true}},
  {text:", confirming the diagnosis of Intralobar BPS.", options:{}}
], {
  x:C2+0.22, y:Y0+0.82, w:CW-0.4, h:4.0,
  fontSize:21, fontFace:"Calibri", color:DARK_GREY, valign:"top", wrap:true
});

// โ”€โ”€ CXR IMAGE (annotated) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CXR_Y = Y0 + 5.16;
secBar(C2, CXR_Y, CW, "FIG 1 โ€” CHEST X-RAY (ANNOTATED)");
imgBox(C2, CXR_Y+0.74, CW, 8.5);
slide.addImage({ data:imgCXR, x:C2+0.5, y:CXR_Y+0.9, w:CW-1.0, h:8.1 });

// โ”€โ”€ CT IMAGE (annotated) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CT_Y = CXR_Y + 9.46;
secBar(C2, CT_Y, CW, "FIG 2 โ€” CECT ANGIOGRAPHY (ANNOTATED)");
imgBox(C2, CT_Y+0.74, CW, 9.0);
slide.addImage({ data:imgCT, x:C2+0.2, y:CT_Y+0.85, w:CW-0.4, h:8.5 });

// โ”€โ”€ Colour key legend โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const LEG_Y = CT_Y + 9.96;
panel(C2, LEG_Y, CW, 1.6, "F0F4F8");
slide.addText("Annotation Key:", {
  x:C2+0.2, y:LEG_Y+0.08, w:CW-0.4, h:0.45,
  fontSize:20, fontFace:"Calibri", bold:true, color:NAVY
});
// Yellow box
slide.addShape(pres.ShapeType.rect,
  {x:C2+0.2, y:LEG_Y+0.6, w:0.4, h:0.3, fill:{color:"FFC800"}, line:{color:"FFC800"}});
slide.addText("Sequestered segment", {x:C2+0.7, y:LEG_Y+0.57, w:3.8, h:0.35, fontSize:17, fontFace:"Calibri", color:DARK_GREY});
// Red
slide.addShape(pres.ShapeType.rect,
  {x:C2+5.0, y:LEG_Y+0.6, w:0.4, h:0.3, fill:{color:"FF3C3C"}, line:{color:"FF3C3C"}});
slide.addText("Aberrant aortic feeder", {x:C2+5.5, y:LEG_Y+0.57, w:4.0, h:0.35, fontSize:17, fontFace:"Calibri", color:DARK_GREY});
// Blue
slide.addShape(pres.ShapeType.rect,
  {x:C2+10.0, y:LEG_Y+0.6, w:0.4, h:0.3, fill:{color:"64C8FF"}, line:{color:"64C8FF"}});
slide.addText("Pulmonary vein drainage", {x:C2+10.5, y:LEG_Y+0.57, w:4.0, h:0.35, fontSize:17, fontFace:"Calibri", color:DARK_GREY});

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// RIGHT COLUMN
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

// โ”€โ”€ IMAGING OBSERVATIONS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
secBar(C3, Y0, CW, "IMAGING OBSERVATIONS");
panel(C3, Y0+0.74, CW, 7.6);
slide.addText([
  {text:"Chest X-Ray (CXR โ€” PA view):", options:{bold:true, color:NAVY, breakLine:true}},
  {text:"  โ€ข Retrocardiac homogeneous opacity", options:{breakLine:true}},
  {text:"  โ€ข Well-defined, sharp margins", options:{breakLine:true}},
  {text:"  โ€ข Left lower lobe location", options:{breakLine:true}},
  {text:"  โ€ข No associated mediastinal shift or volume loss", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:7}},
  {text:"CECT Angiography:", options:{bold:true, color:NAVY, breakLine:true}},
  {text:"  โ€ข Non-aerated, consolidated sequestered lung parenchyma", options:{breakLine:true}},
  {text:"  โ€ข ", options:{}},
  {text:"Aberrant systemic artery", options:{bold:true, color:"CC3333"}},
  {text:" arising directly from the ", options:{}},
  {text:"descending thoracic aorta", options:{bold:true}},
  {text:"", options:{breakLine:true}},
  {text:"  โ€ข ", options:{}},
  {text:"Venous drainage via left pulmonary vein", options:{bold:true, color:"1E7DC8"}},
  {text:" โ€” confirming ILS pattern", options:{breakLine:true}},
  {text:"  โ€ข No communication with tracheobronchial tree", options:{breakLine:true}},
  {text:"  โ€ข Left lower lobe consolidation within sequestered segment", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:7}},
  {text:"Final Diagnosis: ", options:{bold:true, color:TEAL}},
  {text:"Intralobar Bronchopulmonary Sequestration (ILS)", options:{bold:true}}
], {
  x:C3+0.22, y:Y0+0.82, w:CW-0.4, h:7.4,
  fontSize:21, fontFace:"Calibri", color:DARK_GREY, valign:"top", wrap:true
});

// โ”€โ”€ BPS ANATOMY DIAGRAM โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const DIAG1_Y = Y0 + 8.56;
secBar(C3, DIAG1_Y, CW, "FIG 3 โ€” BPS ANATOMY SCHEMATIC");
imgBox(C3, DIAG1_Y+0.74, CW, 8.2);
slide.addImage({ data:imgDiagram, x:C3+0.2, y:DIAG1_Y+0.85, w:CW-0.4, h:7.8 });

// โ”€โ”€ DIFFERENTIAL DIAGRAM โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const DIAG2_Y = DIAG1_Y + 9.16;
secBar(C3, DIAG2_Y, CW, "FIG 4 โ€” BPS vs. CHRONIC INFECTION");
imgBox(C3, DIAG2_Y+0.74, CW, 7.0);
slide.addImage({ data:imgDiff, x:C3+0.2, y:DIAG2_Y+0.85, w:CW-0.4, h:6.6 });

// โ”€โ”€ CONCLUSION (right col, bottom) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CONC_Y = DIAG2_Y + 7.96;
secBar(C3, CONC_Y, CW, "CONCLUSION", NAVY);
slide.addShape(pres.ShapeType.rect,
  {x:C3, y:CONC_Y+0.74, w:CW, h:4.4, fill:{color:NAVY}, line:{color:NAVY}});
slide.addText([
  {text:"BPS is a rare but curable condition that ", options:{}},
  {text:"closely mimics chronic infection", options:{bold:true, color:"FFC966"}},
  {text:" in TB-endemic settings, making radiological vigilance essential.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:8}},
  {text:"CECT angiography ", options:{bold:true, color:"FFC966"}},
  {text:"is the investigation of choice โ€” it uniquely identifies the aberrant aortic feeder and confirms the diagnosis.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:8}},
  {text:"Early diagnosis ", options:{bold:true, color:"A8D8EA"}},
  {text:"prevents prolonged inappropriate ATT and enables curative surgical resection (lobectomy).", options:{}}
], {
  x:C3+0.22, y:CONC_Y+0.86, w:CW-0.4, h:4.1,
  fontSize:21, fontFace:"Calibri", color:WHITE, valign:"top", wrap:true
});

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// FOOTER
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
slide.addShape(pres.ShapeType.rect,
  {x:0, y:32.4, w:46.8, h:0.7, fill:{color:NAVY}, line:{color:NAVY}});
slide.addText(
  "Department of Radiodiagnosis  |  Bharati Vidyapeeth Medical College, Pune  |  AOCR 2025  |  Dr. Ishaan Wagh",
  {x:0.5, y:32.4, w:46.8, h:0.7,
   fontSize:18, fontFace:"Calibri", color:"A8C8E0", align:"center", valign:"middle"}
);

// โ”€โ”€ Save โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const out = "/home/daytona/workspace/pulm-seq-poster/AOCR_Pulmonary_Sequestration_Poster_v2.pptx";
pres.writeFile({ fileName: out }).then(() => {
  console.log("Saved: " + out);
}).catch(err => console.error(err));
Running Command

cd /home/daytona/workspace/pulm-seq-poster && timeout 120 node make_poster_v2.js 2>&1

Running Command

ls -lh /home/daytona/workspace/pulm-seq-poster/*.pptx

The updated poster (v2) is ready with all radiological diagrams and annotation overlays:

AOCR Pulmonary Sequestration Poster v2

Presentation ยท PPTX


Here's what was added in this version:
4 images are now embedded (up from 2):
FigureWhat it shows
Fig 1 - CXR (annotated)Your original chest X-ray with a yellow bounding box highlighting the retrocardiac opacity, a cyan circle pointing to the left lower lobe, and a figure caption bar
Fig 2 - CECT (annotated)Your original CT with 3 colour-coded annotations: yellow box (sequestered segment), red circle + arrow (aberrant aortic feeder), blue circle (pulmonary vein drainage)
Fig 3 - BPS Anatomy SchematicAI-generated diagram showing the sequestered lung segment with labelled arrows for aortic supply, pulmonary vein drainage, and absent tracheobronchial connection
Fig 4 - BPS vs. Chronic InfectionSide-by-side comparison diagram: TB/chronic infection vs. BPS, highlighting the defining vascular feature
A colour key legend is also added below the CT image: yellow = sequestered segment, red = aortic feeder, blue = pulmonary vein.

Requirements: ยท Format: PDF (All other formats such as JPEG and PPT are not allowed) ยท Orientation: Portrait, 9:16 ratio ยท Maximum Length: 1 page Name file in the following format " Paper Number_Your Name". E.g. (123_Jane Doe) Display Format: Rotating digital display on electronic terminal Location of Display: Exhibition Area Poster presentation template can be found these are the rewuirements

Asking for Preferences

257

Reading File
Running Command

python3 -c "import weasyprint; print('weasyprint OK')" 2>&1; python3 -c "import reportlab; print('reportlab OK')" 2>&1; which wkhtmltopdf 2>&1; python3 -c "from xhtml2pdf import pisa; print('xhtml2pdf OK')" 2>&1

Writing File

~/pulm-seq-poster/make_pdf_poster.py

"""
AOCR 2025 โ€“ Pulmonary Sequestration Poster
Format: PDF, Portrait 9:16, single page
File: 257_Ishaan Wagh.pdf
"""

from reportlab.lib.pagesizes import A4
from reportlab.lib.units import mm, inch
from reportlab.lib import colors
from reportlab.pdfgen import canvas
from reportlab.lib.utils import ImageReader
from reportlab.platypus import Paragraph, Frame
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER, TA_JUSTIFY
from PIL import Image as PILImage
import io, os, textwrap

# โ”€โ”€โ”€ Page dimensions: 9:16 portrait โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# Use 1080 ร— 1920 pt equivalent  โ†’  width=1080pt, height=1920pt (15" ร— 26.67")
# Or more printable: A-series 9:16 โ†’ 210mm ร— 373.3mm
W_MM = 210
H_MM = 373.3
W = W_MM * mm
H = H_MM * mm

OUTPUT = "/home/daytona/workspace/pulm-seq-poster/257_Ishaan Wagh.pdf"
IMG_DIR = "/home/daytona/workspace/pulm-seq-poster/images/"

# โ”€โ”€โ”€ Colours (R,G,B 0-1) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
NAVY        = colors.HexColor("#0D2B5C")
TEAL        = colors.HexColor("#0B7B8E")
GOLD        = colors.HexColor("#C6922A")
WHITE       = colors.white
LIGHT_BG    = colors.HexColor("#EDF2F7")
PANEL_BG    = colors.HexColor("#FFFFFF")
DARK_TEXT   = colors.HexColor("#1E1E1E")
MID_TEXT    = colors.HexColor("#4A4A4A")
LIGHT_BLUE  = colors.HexColor("#C8E6F0")
BORDER_COL  = colors.HexColor("#C8D6E5")
RED_ANN     = colors.HexColor("#CC3333")
BLUE_ANN    = colors.HexColor("#1E7DC8")
BLACK_IMG   = colors.HexColor("#101010")

# โ”€โ”€โ”€ Canvas โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
c = canvas.Canvas(OUTPUT, pagesize=(W, H))
c.setTitle("Bronchopulmonary Sequestration โ€“ AOCR 2025")
c.setAuthor("Dr. Ishaan Wagh")

# โ”€โ”€โ”€ Helpers โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
def rect(x, y, w, h, fill=None, stroke=None, lw=0.5):
    c.saveState()
    if fill:
        c.setFillColor(fill)
    if stroke:
        c.setStrokeColor(stroke)
        c.setLineWidth(lw)
    if fill and stroke:
        c.rect(x, y, w, h, fill=1, stroke=1)
    elif fill:
        c.rect(x, y, w, h, fill=1, stroke=0)
    elif stroke:
        c.rect(x, y, w, h, fill=0, stroke=1)
    c.restoreState()

def section_bar(x, y, w, h, label, font_size=7.5, bg=None):
    bg = bg or TEAL
    rect(x, y, w, h, fill=bg)
    c.saveState()
    c.setFillColor(WHITE)
    c.setFont("Helvetica-Bold", font_size)
    c.drawString(x + 2*mm, y + h*0.28, label)
    c.restoreState()

def wrapped_text(x, y, w, h, text, font="Helvetica", size=6.5, color=DARK_TEXT,
                 leading=None, align=TA_LEFT):
    """Draw wrapped paragraph inside a box (top-left origin in PDF = bottom-left)."""
    if leading is None:
        leading = size * 1.35
    style = ParagraphStyle(
        "body",
        fontName=font,
        fontSize=size,
        textColor=color,
        leading=leading,
        alignment=align,
        spaceAfter=0,
        spaceBefore=0,
    )
    p = Paragraph(text, style)
    pw, ph = p.wrap(w, h)
    # PDF y=0 is bottom; Paragraph draws from top-left, so flip:
    p.drawOn(c, x, y + h - ph)

def embed_image(path, x, y, w, h, bg=BLACK_IMG):
    """Draw black background then image, preserving aspect ratio with letterbox."""
    rect(x, y, w, h, fill=bg)
    try:
        img = PILImage.open(path)
        iw, ih = img.size
        aspect = iw / ih
        box_aspect = w / h
        if aspect > box_aspect:
            dw = w
            dh = w / aspect
            dx = x
            dy = y + (h - dh) / 2
        else:
            dh = h
            dw = h * aspect
            dx = x + (w - dw) / 2
            dy = y
        c.drawImage(ImageReader(path), dx, dy, dw, dh, mask="auto")
    except Exception as e:
        c.saveState()
        c.setFillColor(colors.red)
        c.setFont("Helvetica", 5)
        c.drawString(x + 2*mm, y + h/2, f"[Image error: {e}]")
        c.restoreState()

# โ”€โ”€โ”€ Layout constants โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
PAD = 3.5 * mm     # outer margin
GAP = 2.5 * mm     # column gap
INNER = 2.0 * mm   # inner text padding
SB_H = 6.5 * mm    # section bar height

# Two columns
COL_W = (W - 2*PAD - GAP) / 2
C1_X  = PAD
C2_X  = PAD + COL_W + GAP

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# BACKGROUND
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
rect(0, 0, W, H, fill=LIGHT_BG)

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# HEADER  (top of page = H, working down in ReportLab coords)
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
HDR_H = 28 * mm
HDR_Y = H - HDR_H

rect(0, HDR_Y, W, HDR_H, fill=NAVY)
# Gold accent bottom of header
rect(0, HDR_Y - 1.2*mm, W, 1.2*mm, fill=GOLD)

# AOCR badge (right side)
BADGE_W = 18*mm
BADGE_H = HDR_H - 4*mm
BADGE_X = W - PAD - BADGE_W
BADGE_Y = HDR_Y + 2*mm
rect(BADGE_X, BADGE_Y, BADGE_W, BADGE_H, fill=TEAL)
c.saveState()
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 9)
c.drawCentredString(BADGE_X + BADGE_W/2, BADGE_Y + BADGE_H*0.62, "AOCR")
c.setFont("Helvetica-Bold", 8)
c.drawCentredString(BADGE_X + BADGE_W/2, BADGE_Y + BADGE_H*0.28, "2025")
c.restoreState()

# Title text
TITLE_X = PAD + INNER
TITLE_W = BADGE_X - TITLE_X - 2*mm
wrapped_text(
    TITLE_X, HDR_Y + 11*mm, TITLE_W, 14*mm,
    "<b>A Congenital Impostor: Bronchopulmonary Sequestration<br/>Masquerading as Chronic Infection</b>",
    font="Helvetica-Bold", size=9.5, color=WHITE, leading=12.5, align=TA_LEFT
)
wrapped_text(
    TITLE_X, HDR_Y + 2.5*mm, TITLE_W, 9*mm,
    "Dr. Ishaan Wagh (JR II Radiology)  |  Co-author: Dr. Priscilla Joshi, Head of Department<br/>"
    "Department of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune",
    font="Helvetica", size=6.8, color=LIGHT_BLUE, leading=9.0, align=TA_LEFT
)

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# CURRENT Y cursor (working downward)
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CY = HDR_Y - 1.2*mm - 2.5*mm   # just below gold strip + small gap

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# LEFT COLUMN  โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

L_Y = CY   # left column y cursor (moving DOWN = subtracting)

# โ”€โ”€ INTRODUCTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
INTRO_H = 40 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "INTRODUCTION")
rect(C1_X, L_Y - SB_H - INTRO_H, COL_W, INTRO_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - INTRO_H + INNER,
    COL_W - 2*INNER, INTRO_H - 2*INNER,
    "<b><font color='#0D2B5C'>Bronchopulmonary Sequestration (BPS)</font></b> is a rare congenital malformation characterised by:<br/><br/>"
    "โ€ข Non-functioning pulmonary parenchyma<br/>"
    "โ€ข No communication with the tracheobronchial tree<br/>"
    "โ€ข Anomalous <b>systemic arterial supply</b> (most commonly descending thoracic aorta)<br/><br/>"
    "<b>Prevalence:</b> 0.15โ€“6.4% of congenital lung malformations<br/><br/>"
    "<b><font color='#0B7B8E'>Intralobar Sequestration (ILS):</font></b> 75โ€“85% of BPS cases. Presents in late childhood with recurrent LRTI.<br/><br/>"
    "<b><font color='#C6922A'>Clinical challenge:</font></b> In TB-endemic regions, BPS closely mimics chronic pulmonary infection, leading to prolonged inappropriate ATT.",
    size=6.4, leading=9.0
)
L_Y -= (SB_H + INTRO_H + GAP)

# โ”€โ”€ AIMS & OBJECTIVES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
AIMS_H = 28 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "AIMS & OBJECTIVES")
rect(C1_X, L_Y - SB_H - AIMS_H, COL_W, AIMS_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - AIMS_H + INNER,
    COL_W - 2*INNER, AIMS_H - 2*INNER,
    "<b><font color='#0B7B8E'>1.</font></b> Describe multimodality imaging features of BPS<br/>"
    "<b><font color='#0B7B8E'>2.</font></b> Illustrate the pitfall of BPS mimicking chronic infection/TB<br/>"
    "<b><font color='#0B7B8E'>3.</font></b> Emphasise CECT angiography as investigation of choice<br/>"
    "<b><font color='#0B7B8E'>4.</font></b> Promote early diagnosis to prevent unnecessary ATT",
    size=6.4, leading=9.2
)
L_Y -= (SB_H + AIMS_H + GAP)

# โ”€โ”€ MATERIALS & METHODS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
MM_H = 28 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "MATERIALS & METHODS")
rect(C1_X, L_Y - SB_H - MM_H, COL_W, MM_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - MM_H + INNER,
    COL_W - 2*INNER, MM_H - 2*INNER,
    "<b><font color='#0B7B8E'>Study type:</font></b> Case Report<br/><br/>"
    "<b><font color='#0B7B8E'>Patient:</font></b> Adolescent with recurrent LRTI, empirically treated for pulmonary TB without improvement<br/><br/>"
    "<b><font color='#0B7B8E'>Imaging:</font></b> Chest X-ray (PA view); Contrast-Enhanced CT Angiography (CECT)<br/><br/>"
    "<b><font color='#0B7B8E'>Setting:</font></b> Dept. of Radiodiagnosis, BVMC Pune",
    size=6.4, leading=9.2
)
L_Y -= (SB_H + MM_H + GAP)

# โ”€โ”€ CASE PRESENTATION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CASE_H = 28 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "CASE PRESENTATION")
rect(C1_X, L_Y - SB_H - CASE_H, COL_W, CASE_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - CASE_H + INNER,
    COL_W - 2*INNER, CASE_H - 2*INNER,
    "Patient presented with <b>recurrent lower respiratory tract infections</b>. "
    "Prior workup led to <b>initiation of ATT</b> in a TB-endemic setting โ€” with no improvement.<br/><br/>"
    "CXR showed a <b><font color='#C6922A'>retrocardiac opacity with sharp margins</font></b> in the LLL. "
    "CECT angiography was performed and revealed an <b>aberrant aortic feeder</b>, confirming <b>ILS</b>.",
    size=6.4, leading=9.2
)
L_Y -= (SB_H + CASE_H + GAP)

# โ”€โ”€ FIG 1 โ€” ANNOTATED CXR โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CXR_IMG_H = 52 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "FIG 1 โ€” CHEST X-RAY (ANNOTATED)")
embed_image(
    IMG_DIR + "annotated_cxr.png",
    C1_X, L_Y - SB_H - CXR_IMG_H, COL_W, CXR_IMG_H
)
L_Y -= (SB_H + CXR_IMG_H + GAP)

# โ”€โ”€ REVIEW OF LITERATURE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
ROL_H = 42 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "REVIEW OF LITERATURE")
rect(C1_X, L_Y - SB_H - ROL_H, COL_W, ROL_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - ROL_H + INNER,
    COL_W - 2*INNER, ROL_H - 2*INNER,
    "<b><font color='#0B7B8E'>Classification:</font></b> ILS (75โ€“85%, within visceral pleura, pulmonary vein drainage) vs. ELS (15โ€“25%, outside pleura, systemic vein drainage, associated anomalies)<br/><br/>"
    "<b><font color='#0B7B8E'>Pathophysiology:</font></b> Impaired drainage โ†’ stasis โ†’ repeated infections โ†’ consolidation/cystic change/bronchiectasis, mimicking TB<br/><br/>"
    "<b><font color='#0B7B8E'>Defining feature:</font></b> Aberrant systemic arterial feeder (descending thoracic aorta)<br/><br/>"
    "<b><font color='#C6922A'>Investigation of choice:</font></b> CECT angiography โ€” delineates arterial supply, venous drainage, parenchymal changes<br/><br/>"
    "<b><font color='#0B7B8E'>Management:</font></b> Surgical resection (lobectomy) โ€” curative. Early diagnosis prevents prolonged ATT.",
    size=6.4, leading=9.0
)
L_Y -= (SB_H + ROL_H + GAP)

# โ”€โ”€ REFERENCES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
REF_H = 22 * mm
section_bar(C1_X, L_Y - SB_H, COL_W, SB_H, "REFERENCES")
rect(C1_X, L_Y - SB_H - REF_H, COL_W, REF_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C1_X + INNER, L_Y - SB_H - REF_H + INNER,
    COL_W - 2*INNER, REF_H - 2*INNER,
    "<i>1. Corbett HJ &amp; Humphrey GM. Pulmonary sequestration. Paediatr Respir Rev. 2004;5(1):59โ€“68.<br/>"
    "2. Pryce DM. Lower accessory pulmonary artery with ILS of lung. J Pathol. 1946;58:457โ€“467.<br/>"
    "3. Savic B et al. Lung sequestration: review of 540 cases. Thorax. 1979;34:96โ€“101.<br/>"
    "4. Guru Murthy GS et al. Pulmonary sequestration: a diagnostic dilemma. IJRI. 2010.</i>",
    size=5.8, color=MID_TEXT, leading=8.5
)
L_Y -= (SB_H + REF_H)

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# RIGHT COLUMN  โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

R_Y = CY

# โ”€โ”€ IMAGING OBSERVATIONS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
OBS_H = 44 * mm
section_bar(C2_X, R_Y - SB_H, COL_W, SB_H, "IMAGING OBSERVATIONS")
rect(C2_X, R_Y - SB_H - OBS_H, COL_W, OBS_H, fill=PANEL_BG, stroke=BORDER_COL)
wrapped_text(
    C2_X + INNER, R_Y - SB_H - OBS_H + INNER,
    COL_W - 2*INNER, OBS_H - 2*INNER,
    "<b><font color='#0D2B5C'>Chest X-Ray (CXR โ€” PA view):</font></b><br/>"
    "โ€ข Retrocardiac homogeneous opacity, well-defined sharp margins<br/>"
    "โ€ข Left lower lobe location; no mediastinal shift or volume loss<br/><br/>"
    "<b><font color='#0D2B5C'>CECT Angiography:</font></b><br/>"
    "โ€ข Non-aerated, consolidated sequestered lung parenchyma<br/>"
    "โ€ข <b><font color='#CC3333'>Aberrant systemic artery</font></b> arising from the <b>descending thoracic aorta</b><br/>"
    "โ€ข <b><font color='#1E7DC8'>Venous drainage via left pulmonary vein</font></b> โ€” confirming ILS pattern<br/>"
    "โ€ข No communication with the tracheobronchial tree<br/>"
    "โ€ข Left lower lobe consolidation within sequestered segment<br/><br/>"
    "<b><font color='#0B7B8E'>Final Diagnosis:</font></b> <b>Intralobar Bronchopulmonary Sequestration (ILS)</b>",
    size=6.4, leading=9.0
)
R_Y -= (SB_H + OBS_H + GAP)

# โ”€โ”€ FIG 2 โ€” ANNOTATED CT โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CT_IMG_H = 42 * mm
section_bar(C2_X, R_Y - SB_H, COL_W, SB_H, "FIG 2 โ€” CECT ANGIOGRAPHY (ANNOTATED)")
embed_image(
    IMG_DIR + "annotated_ct.png",
    C2_X, R_Y - SB_H - CT_IMG_H, COL_W, CT_IMG_H
)
# Colour key beneath CT
KEY_H = 7 * mm
KEY_Y = R_Y - SB_H - CT_IMG_H - KEY_H
rect(C2_X, KEY_Y, COL_W, KEY_H, fill=colors.HexColor("#F0F4F8"), stroke=BORDER_COL)
KX = C2_X + 2*mm
KY = KEY_Y + 1.8*mm
BOX = 3*mm
c.saveState()
# Yellow
c.setFillColor(colors.HexColor("#FFC800")); c.rect(KX, KY, BOX, BOX, fill=1, stroke=0)
c.setFillColor(DARK_TEXT); c.setFont("Helvetica", 5.5); c.drawString(KX + BOX + 1.2*mm, KY+0.5*mm, "Sequestered segment")
# Red
RX2 = KX + 33*mm
c.setFillColor(colors.HexColor("#FF3C3C")); c.rect(RX2, KY, BOX, BOX, fill=1, stroke=0)
c.setFillColor(DARK_TEXT); c.drawString(RX2 + BOX + 1.2*mm, KY+0.5*mm, "Aortic feeder")
# Blue
BX2 = RX2 + 26*mm
c.setFillColor(colors.HexColor("#1E7DC8")); c.rect(BX2, KY, BOX, BOX, fill=1, stroke=0)
c.setFillColor(DARK_TEXT); c.drawString(BX2 + BOX + 1.2*mm, KY+0.5*mm, "Pulmonary vein")
c.restoreState()
R_Y -= (SB_H + CT_IMG_H + KEY_H + GAP)

# โ”€โ”€ FIG 3 โ€” BPS ANATOMY DIAGRAM โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
DIAG1_H = 52 * mm
section_bar(C2_X, R_Y - SB_H, COL_W, SB_H, "FIG 3 โ€” BPS ANATOMY SCHEMATIC")
embed_image(
    IMG_DIR + "bps_anatomy_diagram.png",
    C2_X, R_Y - SB_H - DIAG1_H, COL_W, DIAG1_H
)
R_Y -= (SB_H + DIAG1_H + GAP)

# โ”€โ”€ FIG 4 โ€” BPS vs CHRONIC INFECTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
DIAG2_H = 52 * mm
section_bar(C2_X, R_Y - SB_H, COL_W, SB_H, "FIG 4 โ€” BPS vs. CHRONIC INFECTION")
embed_image(
    IMG_DIR + "bps_differential_diagram.png",
    C2_X, R_Y - SB_H - DIAG2_H, COL_W, DIAG2_H
)
R_Y -= (SB_H + DIAG2_H + GAP)

# โ”€โ”€ CONCLUSION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CONC_H = 30 * mm
section_bar(C2_X, R_Y - SB_H, COL_W, SB_H, "CONCLUSION", bg=NAVY)
rect(C2_X, R_Y - SB_H - CONC_H, COL_W, CONC_H, fill=NAVY)
wrapped_text(
    C2_X + INNER, R_Y - SB_H - CONC_H + INNER,
    COL_W - 2*INNER, CONC_H - 2*INNER,
    "<b>BPS is a rare but curable condition</b> that <font color='#FFC966'><b>closely mimics chronic infection</b></font> "
    "in TB-endemic settings, making radiological vigilance essential.<br/><br/>"
    "<font color='#FFC966'><b>CECT angiography</b></font> is the cornerstone of diagnosis, confirming the anomalous "
    "aortic feeder and guiding surgical planning.<br/><br/>"
    "<font color='#A8D8EA'><b>Early diagnosis</b></font> prevents prolonged ATT and enables "
    "curative surgical resection (lobectomy).",
    font="Helvetica", size=6.4, color=WHITE, leading=9.2
)
R_Y -= (SB_H + CONC_H)

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# FOOTER
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
FOOTER_H = 7 * mm
rect(0, 0, W, FOOTER_H, fill=NAVY)
c.saveState()
c.setFillColor(colors.HexColor("#A8C8E0"))
c.setFont("Helvetica", 6.0)
c.drawCentredString(
    W / 2, FOOTER_H * 0.38,
    "Dept. of Radiodiagnosis  |  Bharati Vidyapeeth Medical College, Pune  |  AOCR 2025  |  Paper No. 257  |  Dr. Ishaan Wagh"
)
c.restoreState()

# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
# SAVE
# โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
c.showPage()
c.save()
print(f"PDF saved: {OUTPUT}")

# Verify dimensions
from pypdf import PdfReader
r = PdfReader(OUTPUT)
pg = r.pages[0]
print(f"Page size: {float(pg.mediabox.width):.1f} x {float(pg.mediabox.height):.1f} pt")
print(f"Ratio: 1:{float(pg.mediabox.height)/float(pg.mediabox.width):.3f}")
print(f"Pages: {len(r.pages)}")
Running Command

cd /home/daytona/workspace/pulm-seq-poster && python3 make_pdf_poster.py 2>&1

Running Command

ls -lh "/home/daytona/workspace/pulm-seq-poster/257_Ishaan Wagh.pdf"

Your poster is ready and fully compliant with AOCR requirements:

257 Ishaan%20Wagh

PDF Document ยท PDF


Requirements check:
RequirementStatus
Format: PDFโœ… PDF
Orientation: Portraitโœ… Portrait
Ratio: 9:16โœ… Exactly 1:1.778 (595 ร— 1058 pt)
Maximum length: 1 pageโœ… 1 page
File name: 257_Ishaan Waghโœ… Named correctly
Display: digital rotating screenโœ… Optimised for screen (vivid colours, large section headers, high contrast)

What's in the poster (2-column layout, top to bottom):
Left column: Introduction โ†’ Aims & Objectives โ†’ Materials & Methods โ†’ Case Presentation โ†’ Fig 1: Annotated CXR (yellow box on retrocardiac opacity) โ†’ Review of Literature โ†’ References
Right column: Imaging Observations โ†’ Fig 2: Annotated CECT (colour-coded: yellow = sequestered segment, red = aortic feeder, blue = pulmonary vein) โ†’ Fig 3: BPS Anatomy Schematic โ†’ Fig 4: BPS vs. Chronic Infection comparison โ†’ Conclusion

its not opening

Running Command

cd /home/daytona/workspace/pulm-seq-poster && python3 -c " from pypdf import PdfReader r = PdfReader('257_Ishaan Wagh.pdf') print('Pages:', len(r.pages)) print('Encrypted:', r.is_encrypted) pg = r.pages[0] print('MediaBox:', pg.mediabox) print('Size (pt):', float(pg.mediabox.width), 'x', float(pg.mediabox.height)) " 2>&1

Running Command

cp "/home/daytona/workspace/pulm-seq-poster/257_Ishaan Wagh.pdf" "/home/daytona/workspace/pulm-seq-poster/257_Ishaan_Wagh.pdf" && ls -lh /home/daytona/workspace/pulm-seq-poster/257_Ishaan_Wagh.pdf

Try this link (underscore instead of space):

257 Ishaan Wagh

PDF Document ยท PDF


If it still doesn't open, it may be a browser/viewer issue. Try these steps:
  1. Right-click the link โ†’ Save link as โ†’ then open in Adobe Acrobat or your system PDF viewer
  2. If you're on mobile, try opening in Chrome or a dedicated PDF app
  3. The file is 5.3 MB โ€” make sure your connection is stable while downloading
The PDF itself is verified: 1 page, not encrypted, valid structure. Let me know if the download still fails and I'll try a different export method.

make it in an editable form

Writing File

~/pulm-seq-poster/make_portrait_pptx.js

const pptxgen = require("pptxgenjs");
const fs = require("fs");

// โ”€โ”€ Images โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const DIR = "/home/daytona/workspace/pulm-seq-poster/images/";
const b64 = (f, mime) => `${mime};base64,` + fs.readFileSync(DIR + f).toString("base64");

const imgCXR     = b64("annotated_cxr.png",           "image/png");
const imgCT      = b64("annotated_ct.png",             "image/png");
const imgDiagram = b64("bps_anatomy_diagram.png",      "image/png");
const imgDiff    = b64("bps_differential_diagram.png", "image/png");

// โ”€โ”€ Colours โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const NAVY   = "0D2B5C";
const TEAL   = "0B7B8E";
const GOLD   = "C6922A";
const WHITE  = "FFFFFF";
const DGREY  = "1E1E1E";
const MGREY  = "4A4A4A";
const LBG    = "EDF2F7";
const PANEL  = "FFFFFF";
const BORDER = "C8D6E5";
const BLKBG  = "101010";
const LBLUE  = "C8E6F0";

// โ”€โ”€ Portrait 9:16 slide (1080ร—1920 pt โ†’ 15"ร—26.667") โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
let pres = new pptxgen();
// 9:16 portrait: width=10.125", height=18" (standard 9:16)
const W = 10.125, H = 18.0;
pres.defineLayout({ name: "PORTRAIT_9x16", width: W, height: H });
pres.layout = "PORTRAIT_9x16";
pres.title  = "257_Ishaan Wagh โ€“ AOCR 2025 Poster";

let slide = pres.addSlide();

// โ”€โ”€ Background โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
slide.addShape(pres.ShapeType.rect, { x:0, y:0, w:W, h:H, fill:{color:LBORDER}, line:{color:LBG} });

// fix typo
slide.addShape(pres.ShapeType.rect, { x:0, y:0, w:W, h:H, fill:{color:"EDF2F7"}, line:{color:"EDF2F7"} });

// โ”€โ”€ HELPERS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const PAD  = 0.18;  // outer margin
const GAP  = 0.14;  // column gap
const SBH  = 0.32;  // section bar height
const CW   = (W - 2*PAD - GAP) / 2;
const C1   = PAD;
const C2   = PAD + CW + GAP;

function sBar(x, y, w, label, bg) {
  bg = bg || TEAL;
  slide.addShape(pres.ShapeType.rect, { x, y, w, h:SBH, fill:{color:bg}, line:{color:bg} });
  slide.addText(label, {
    x:x+0.08, y, w:w-0.08, h:SBH,
    fontSize:9.5, fontFace:"Calibri", bold:true, color:WHITE,
    valign:"middle", charSpacing:0.4
  });
}

function panel(x, y, w, h, bg) {
  bg = bg || PANEL;
  slide.addShape(pres.ShapeType.rect,
    { x, y, w, h, fill:{color:bg}, line:{color:BORDER, width:0.75} });
}

function imgBox(x, y, w, h) {
  slide.addShape(pres.ShapeType.rect,
    { x, y, w, h, fill:{color:BLKBG}, line:{color:"2A2A2A", width:0.75} });
}

function bodyText(x, y, w, h, runs, sz) {
  sz = sz || 6.0;
  slide.addText(runs, {
    x, y, w, h,
    fontSize:sz, fontFace:"Calibri", color:DGREY,
    valign:"top", wrap:true,
    paraSpaceAfter:1.5
  });
}

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// HEADER
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
const HDR_H = 1.55;
slide.addShape(pres.ShapeType.rect, { x:0, y:0, w:W, h:HDR_H, fill:{color:NAVY}, line:{color:NAVY} });
slide.addShape(pres.ShapeType.rect, { x:0, y:HDR_H, w:W, h:0.06, fill:{color:GOLD}, line:{color:GOLD} });

// AOCR badge
const BW=0.85, BH=1.3, BX=W-PAD-BW, BY=0.12;
slide.addShape(pres.ShapeType.rect, { x:BX, y:BY, w:BW, h:BH, fill:{color:TEAL}, line:{color:TEAL} });
slide.addText("AOCR\n2025", { x:BX, y:BY, w:BW, h:BH,
  fontSize:18, fontFace:"Calibri", bold:true, color:WHITE, align:"center", valign:"middle" });

// Title
slide.addText(
  "A Congenital Impostor: Bronchopulmonary Sequestration\nMasquerading as Chronic Infection",
  { x:PAD+0.08, y:0.1, w:BX-PAD-0.15, h:0.85,
    fontSize:15, fontFace:"Calibri", bold:true, color:WHITE,
    align:"left", valign:"middle", wrap:true }
);

// Authors
slide.addText(
  "Dr. Ishaan Wagh (JR II Radiology)  |  Co-author: Dr. Priscilla Joshi, Head of Department\nDept. of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune",
  { x:PAD+0.08, y:1.02, w:BX-PAD-0.15, h:0.48,
    fontSize:7.5, fontFace:"Calibri", color:LBLUE,
    align:"left", valign:"middle", wrap:true }
);

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// CONTENT START Y
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
const Y0 = HDR_H + 0.06 + 0.12;   // just below gold strip + gap

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// LEFT COLUMN
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
let LY = Y0;

// โ”€โ”€ INTRODUCTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const INTRO_H = 2.1;
sBar(C1, LY, CW, "INTRODUCTION");
panel(C1, LY+SBH, CW, INTRO_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, INTRO_H-0.1, [
  {text:"Bronchopulmonary Sequestration (BPS)", options:{bold:true, color:NAVY, breakLine:false}},
  {text:" is a rare congenital malformation characterised by:", options:{breakLine:true}},
  {text:"โ€ข Non-functioning pulmonary parenchyma with no tracheobronchial communication", options:{breakLine:true}},
  {text:"โ€ข Anomalous systemic arterial supply โ€” most commonly from the descending thoracic aorta", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Prevalence: ", options:{bold:true, color:TEAL}},
  {text:"0.15โ€“6.4% of congenital lung malformations", options:{breakLine:true}},
  {text:"Intralobar Sequestration (ILS): ", options:{bold:true, color:TEAL}},
  {text:"75โ€“85% of cases; presents in late childhood with recurrent LRTI", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Clinical challenge: ", options:{bold:true, color:GOLD}},
  {text:"In TB-endemic regions, BPS closely mimics chronic pulmonary infection, leading to prolonged inappropriate anti-tubercular therapy (ATT).", options:{}},
]);
LY += SBH + INTRO_H + GAP;

// โ”€โ”€ AIMS & OBJECTIVES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const AIMS_H = 1.4;
sBar(C1, LY, CW, "AIMS & OBJECTIVES");
panel(C1, LY+SBH, CW, AIMS_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, AIMS_H-0.1, [
  {text:"1. ", options:{bold:true, color:TEAL}},
  {text:"Describe multimodality imaging features of BPS", options:{breakLine:true}},
  {text:"2. ", options:{bold:true, color:TEAL}},
  {text:"Illustrate the pitfall of BPS mimicking chronic infection / TB", options:{breakLine:true}},
  {text:"3. ", options:{bold:true, color:TEAL}},
  {text:"Emphasise CECT angiography as the investigation of choice", options:{breakLine:true}},
  {text:"4. ", options:{bold:true, color:TEAL}},
  {text:"Promote early diagnosis to prevent unnecessary ATT", options:{}},
]);
LY += SBH + AIMS_H + GAP;

// โ”€โ”€ MATERIALS & METHODS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const MM_H = 1.55;
sBar(C1, LY, CW, "MATERIALS & METHODS");
panel(C1, LY+SBH, CW, MM_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, MM_H-0.1, [
  {text:"Study type: ", options:{bold:true, color:TEAL}},
  {text:"Case Report", options:{breakLine:true}},
  {text:"Patient: ", options:{bold:true, color:TEAL}},
  {text:"Adolescent with recurrent LRTI, treated empirically for pulmonary TB without improvement", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Imaging used: ", options:{bold:true, color:TEAL}},
  {text:"Chest X-ray (PA view) and Contrast-Enhanced CT Angiography (CECT)", options:{breakLine:true}},
  {text:"Setting: ", options:{bold:true, color:TEAL}},
  {text:"Dept. of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune", options:{}},
]);
LY += SBH + MM_H + GAP;

// โ”€โ”€ CASE PRESENTATION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CASE_H = 1.5;
sBar(C1, LY, CW, "CASE PRESENTATION");
panel(C1, LY+SBH, CW, CASE_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, CASE_H-0.1, [
  {text:"Patient presented with ", options:{}},
  {text:"recurrent lower respiratory tract infections", options:{bold:true}},
  {text:". In a TB-endemic setting, ATT was initiated โ€” with no improvement.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"CXR revealed a ", options:{}},
  {text:"retrocardiac opacity with sharp margins", options:{bold:true, color:GOLD}},
  {text:" in the LLL. CECT angiography confirmed an ", options:{}},
  {text:"aberrant aortic feeder", options:{bold:true}},
  {text:", establishing the diagnosis of Intralobar BPS.", options:{}},
]);
LY += SBH + CASE_H + GAP;

// โ”€โ”€ FIG 1 โ€” ANNOTATED CXR โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CXRH = 2.9;
sBar(C1, LY, CW, "FIG 1 โ€” CHEST X-RAY (ANNOTATED)");
imgBox(C1, LY+SBH, CW, CXRH);
slide.addImage({ data:imgCXR, x:C1+0.06, y:LY+SBH+0.05, w:CW-0.12, h:CXRH-0.1 });
LY += SBH + CXRH + GAP;

// โ”€โ”€ REVIEW OF LITERATURE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const ROL_H = 2.2;
sBar(C1, LY, CW, "REVIEW OF LITERATURE");
panel(C1, LY+SBH, CW, ROL_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, ROL_H-0.1, [
  {text:"Classification: ", options:{bold:true, color:TEAL}},
  {text:"ILS (75โ€“85%, within visceral pleura, drains via pulmonary vein) vs. ELS (15โ€“25%, outside pleura, systemic vein drainage, associated with other anomalies)", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Pathophysiology: ", options:{bold:true, color:TEAL}},
  {text:"Impaired drainage โ†’ stasis โ†’ consolidation/cystic change/bronchiectasis โ†’ mimics TB/chronic infection", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Defining imaging feature: ", options:{bold:true, color:TEAL}},
  {text:"Aberrant systemic arterial feeder (most commonly descending thoracic aorta)", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Investigation of choice: ", options:{bold:true, color:GOLD}},
  {text:"CECT angiography โ€” delineates arterial supply, venous drainage, parenchymal changes", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Management: ", options:{bold:true, color:TEAL}},
  {text:"Surgical resection (lobectomy) is curative. Early diagnosis prevents prolonged ATT.", options:{}},
]);
LY += SBH + ROL_H + GAP;

// โ”€โ”€ REFERENCES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const REF_H = 1.3;
sBar(C1, LY, CW, "REFERENCES");
panel(C1, LY+SBH, CW, REF_H);
bodyText(C1+0.07, LY+SBH+0.06, CW-0.12, REF_H-0.1, [
  {text:"1. Corbett HJ & Humphrey GM. Pulmonary sequestration. Paediatr Respir Rev. 2004;5(1):59โ€“68.", options:{italic:true, breakLine:true, color:MGREY}},
  {text:"2. Pryce DM. Lower accessory pulmonary artery with ILS of lung. J Pathol. 1946;58:457โ€“467.", options:{italic:true, breakLine:true, color:MGREY}},
  {text:"3. Savic B et al. Lung sequestration: review of 540 cases. Thorax. 1979;34:96โ€“101.", options:{italic:true, breakLine:true, color:MGREY}},
  {text:"4. Guru Murthy GS et al. Pulmonary sequestration: a diagnostic dilemma. IJRI. 2010.", options:{italic:true, color:MGREY}},
], 5.5);
LY += SBH + REF_H;

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// RIGHT COLUMN
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
let RY = Y0;

// โ”€โ”€ IMAGING OBSERVATIONS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const OBS_H = 2.4;
sBar(C2, RY, CW, "IMAGING OBSERVATIONS");
panel(C2, RY+SBH, CW, OBS_H);
bodyText(C2+0.07, RY+SBH+0.06, CW-0.12, OBS_H-0.1, [
  {text:"Chest X-Ray:", options:{bold:true, color:NAVY, breakLine:true}},
  {text:"โ€ข Retrocardiac homogeneous opacity, sharp margins, LLL location", options:{breakLine:true}},
  {text:"โ€ข No mediastinal shift or volume loss", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"CECT Angiography:", options:{bold:true, color:NAVY, breakLine:true}},
  {text:"โ€ข Non-aerated, consolidated sequestered parenchyma", options:{breakLine:true}},
  {text:"โ€ข Aberrant systemic artery ", options:{bold:true, color:"CC3333"}},
  {text:"from descending thoracic aorta", options:{breakLine:true}},
  {text:"โ€ข Venous drainage via left pulmonary vein ", options:{bold:true, color:"1E7DC8"}},
  {text:"โ€” confirming ILS", options:{breakLine:true}},
  {text:"โ€ข No tracheobronchial communication confirmed", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Final Diagnosis: ", options:{bold:true, color:TEAL}},
  {text:"Intralobar Bronchopulmonary Sequestration (ILS)", options:{bold:true}},
]);
RY += SBH + OBS_H + GAP;

// โ”€โ”€ FIG 2 โ€” ANNOTATED CT โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CTH = 2.4;
sBar(C2, RY, CW, "FIG 2 โ€” CECT ANGIOGRAPHY (ANNOTATED)");
imgBox(C2, RY+SBH, CW, CTH);
slide.addImage({ data:imgCT, x:C2+0.06, y:RY+SBH+0.05, w:CW-0.12, h:CTH-0.1 });

// Colour key
const KY2 = RY+SBH+CTH+0.03;
const KH2 = 0.3;
slide.addShape(pres.ShapeType.rect,
  {x:C2, y:KY2, w:CW, h:KH2, fill:{color:"F0F4F8"}, line:{color:BORDER, width:0.5}});
const ks = 0.14;
// Yellow
slide.addShape(pres.ShapeType.rect, {x:C2+0.07, y:KY2+0.08, w:ks, h:ks, fill:{color:"FFC800"}, line:{color:"FFC800"}});
slide.addText("Sequestered segment", {x:C2+0.24, y:KY2+0.06, w:1.4, h:0.2, fontSize:5.5, fontFace:"Calibri", color:DGREY});
// Red
slide.addShape(pres.ShapeType.rect, {x:C2+1.75, y:KY2+0.08, w:ks, h:ks, fill:{color:"FF3C3C"}, line:{color:"FF3C3C"}});
slide.addText("Aortic feeder", {x:C2+1.92, y:KY2+0.06, w:1.1, h:0.2, fontSize:5.5, fontFace:"Calibri", color:DGREY});
// Blue
slide.addShape(pres.ShapeType.rect, {x:C2+3.15, y:KY2+0.08, w:ks, h:ks, fill:{color:"1E7DC8"}, line:{color:"1E7DC8"}});
slide.addText("Pulmonary vein", {x:C2+3.32, y:KY2+0.06, w:1.3, h:0.2, fontSize:5.5, fontFace:"Calibri", color:DGREY});

RY += SBH + CTH + KH2 + GAP + 0.03;

// โ”€โ”€ FIG 3 โ€” BPS ANATOMY SCHEMATIC โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const D1H = 2.9;
sBar(C2, RY, CW, "FIG 3 โ€” BPS ANATOMY SCHEMATIC");
imgBox(C2, RY+SBH, CW, D1H);
slide.addImage({ data:imgDiagram, x:C2+0.06, y:RY+SBH+0.05, w:CW-0.12, h:D1H-0.1 });
RY += SBH + D1H + GAP;

// โ”€โ”€ FIG 4 โ€” BPS vs CHRONIC INFECTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const D2H = 2.9;
sBar(C2, RY, CW, "FIG 4 โ€” BPS vs. CHRONIC INFECTION");
imgBox(C2, RY+SBH, CW, D2H);
slide.addImage({ data:imgDiff, x:C2+0.06, y:RY+SBH+0.05, w:CW-0.12, h:D2H-0.1 });
RY += SBH + D2H + GAP;

// โ”€โ”€ CONCLUSION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
const CONC_H = 1.7;
sBar(C2, RY, CW, "CONCLUSION", NAVY);
slide.addShape(pres.ShapeType.rect,
  {x:C2, y:RY+SBH, w:CW, h:CONC_H, fill:{color:NAVY}, line:{color:NAVY}});
slide.addText([
  {text:"BPS is a rare but curable condition that ", options:{}},
  {text:"closely mimics chronic infection", options:{bold:true, color:"FFC966"}},
  {text:" in TB-endemic settings โ€” radiological vigilance is essential.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"CECT angiography ", options:{bold:true, color:"FFC966"}},
  {text:"is the cornerstone of diagnosis, identifying the aberrant aortic feeder.", options:{breakLine:true}},
  {text:" ", options:{breakLine:true, fontSize:3}},
  {text:"Early diagnosis ", options:{bold:true, color:"A8D8EA"}},
  {text:"prevents prolonged ATT and enables curative surgical resection (lobectomy).", options:{}},
], {
  x:C2+0.07, y:RY+SBH+0.07, w:CW-0.12, h:CONC_H-0.1,
  fontSize:6.0, fontFace:"Calibri", color:WHITE, valign:"top", wrap:true, paraSpaceAfter:1.5
});
RY += SBH + CONC_H;

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// FOOTER
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
const FTR_Y = H - 0.38;
slide.addShape(pres.ShapeType.rect,
  {x:0, y:FTR_Y, w:W, h:0.38, fill:{color:NAVY}, line:{color:NAVY}});
slide.addText(
  "Dept. of Radiodiagnosis  |  Bharati Vidyapeeth Medical College, Pune  |  AOCR 2025  |  Paper No. 257  |  Dr. Ishaan Wagh",
  {x:0.1, y:FTR_Y, w:W-0.2, h:0.38,
   fontSize:6.5, fontFace:"Calibri", color:"A8C8E0", align:"center", valign:"middle"}
);

// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
// SAVE
// โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
const OUT = "/home/daytona/workspace/pulm-seq-poster/257_Ishaan_Wagh_EDITABLE.pptx";
pres.writeFile({ fileName: OUT })
  .then(() => console.log("Saved: " + OUT))
  .catch(e => console.error(e));
Running Command

cd /home/daytona/workspace/pulm-seq-poster && timeout 120 node make_portrait_pptx.js 2>&1

Editing File

~/pulm-seq-poster/make_portrait_pptx.js

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/pulm-seq-poster/make_portrait_pptx.js'
Running Command

cd /home/daytona/workspace/pulm-seq-poster && timeout 120 node make_portrait_pptx.js 2>&1

Running Command

ls -lh /home/daytona/workspace/pulm-seq-poster/257_Ishaan_Wagh_EDITABLE.pptx

Here is your fully editable poster:

257 Ishaan Wagh EDITABLE

Presentation ยท PPTX


What you can edit in PowerPoint:
  • All text boxes - click any section to edit content, font, size, colour
  • Images - click to resize, reposition, or swap with better quality originals
  • Shapes/backgrounds - recolour section headers, panels, footer
  • Slide size is already set to portrait 9:16 (10.125" ร— 18")
To export the final PDF for AOCR submission:
  1. Open in PowerPoint
  2. Make any edits you need
  3. Go to File โ†’ Export โ†’ Create PDF/XPS
  4. Save as 257_Ishaan Wagh.pdf (rename with space as required)
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