Can you tell comment about this its is for my medical report submission for my mbbs studies
python3 -c " import pdfplumber with pdfplumber.open('/tmp/workspace/attachments/59720f94-2ccb-4dc6-863d-35bb165d9a28/Miss. J K SANDUNI - FBC (PCV_Platelet_WBC_DC_Hb).pdf') as pdf: print(f'Pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() print(f'--- Page {i+1} ---') print(text) tables = page.extract_tables() if tables: print('TABLES:') for t in tables: for row in t: print(row) "
python3 -c " from pypdf import PdfReader import base64, io reader = PdfReader('/tmp/workspace/attachments/59720f94-2ccb-4dc6-863d-35bb165d9a28/Miss. J K SANDUNI - FBC (PCV_Platelet_WBC_DC_Hb).pdf') print('Pages:', len(reader.pages)) page = reader.pages[0] print('Resources:', page.get('/Resources')) # Try extracting images if '/XObject' in page['/Resources']: xobjects = page['/Resources']['/XObject'].get_object() print('XObjects:', list(xobjects.keys())) "
python3 -c " from pypdf import PdfReader from PIL import Image import io, os reader = PdfReader('/tmp/workspace/attachments/59720f94-2ccb-4dc6-863d-35bb165d9a28/Miss. J K SANDUNI - FBC (PCV_Platelet_WBC_DC_Hb).pdf') page = reader.pages[0] xobjects = page['/Resources']['/XObject'].get_object() os.makedirs('/tmp/workspace/fbc_images', exist_ok=True) for name, obj in xobjects.items(): xobj = obj.get_object() if xobj['/Subtype'] == '/Image': data = xobj._data width = xobj['/Width'] height = xobj['/Height'] colorspace = xobj.get('/ColorSpace', 'unknown') print(f'{name}: {width}x{height}, cs={colorspace}, data_len={len(data)}') # Try saving as PNG try: if '/FlateDecode' in str(xobj.get('/Filter', '')): # Raw decoded data if str(colorspace) == '/DeviceRGB': img = Image.frombytes('RGB', (width, height), data) elif str(colorspace) == '/DeviceGray': img = Image.frombytes('L', (width, height), data) else: img = Image.frombytes('RGB', (width, height), data) img.save(f'/tmp/workspace/fbc_images/{name[1:]}.png') print(f' Saved as PNG') except Exception as e: print(f' Error: {e}') # Try JPEG try: with open(f'/tmp/workspace/fbc_images/{name[1:]}.jpg', 'wb') as f: f.write(data) print(f' Saved as JPG') except Exception as e2: print(f' JPG error: {e2}') "
python3 -c " from pypdf import PdfReader from PIL import Image import io reader = PdfReader('/tmp/workspace/attachments/59720f94-2ccb-4dc6-863d-35bb165d9a28/Miss. J K SANDUNI - FBC (PCV_Platelet_WBC_DC_Hb).pdf') page = reader.pages[0] xobjects = page['/Resources']['/XObject'].get_object() # Get the main image I0 xobj = xobjects['/I0'].get_object() data = xobj._data width = int(xobj['/Width']) height = int(xobj['/Height']) img = Image.frombytes('RGB', (width, height), data) img.save('/tmp/workspace/fbc_images/I0.png') print(f'Saved: {width}x{height}') print('File size:', img.size) "
python3 -c " from pypdf import PdfReader import io reader = PdfReader('/tmp/workspace/attachments/59720f94-2ccb-4dc6-863d-35bb165d9a28/Miss. J K SANDUNI - FBC (PCV_Platelet_WBC_DC_Hb).pdf') # Use pypdf's built-in image extraction images = reader.pages[0].images print('Number of images found:', len(images)) for i, img in enumerate(images): print(f'Image {i}: name={img.name}, size={len(img.data)} bytes') with open(f'/tmp/workspace/fbc_images/extracted_{i}_{img.name}', 'wb') as f: f.write(img.data) print(f' Saved to /tmp/workspace/fbc_images/extracted_{i}_{img.name}') "
Full Blood Count (FBC) Report Analysis - Miss J K Sanduni
Raw Results with Reference Ranges
| Parameter | Value | Reference Range | Unit | Status |
|---|---|---|---|---|
| WBC | 7.02 | 4 - 10 | 10^9/L | Normal |
| Neutrophils# | 4.33 | 50-70% | 10^9/L (61.6%) | Normal |
| Lymphocytes# | 2.37 | 20-40% | 10^9/L (33.8%) | Normal |
| Monocytes# | 0.26 | 3-12% | 10^9/L (3.8%) | Normal |
| Eosinophils# | 0.06 | 0.5-5% | 10^9/L (0.8%) | Normal |
| Basophils# | 0.00 | 0-1% | 10^9/L (0.00%) | Normal |
| Haemoglobin | 11.0 | 12-15 | g/dL | LOW |
| RBC | 4.5 | 4.5 - 5.5 | 10^12/L | Low-normal |
| PCV (HCT) | 33.5 | 40-50 | % | LOW |
| MCV | 74.4 | 80-100 | fL | LOW |
| MCH | 24.4 | 27-34 | pg | LOW |
| MCHC | 32.7 | 32-36 | g/dL | Normal |
| RDW-CV | 42.6 | 11.0-16.0 | % | HIGH |
| RDW-SD | 118.1 | 35-56 | fL | HIGH |
| Platelet Count | 273 | 150-400 | 10^9/L | Normal |
| MPV | 9.5 | 6.5-12.0 | fL | Normal |
| PDW | 14.7 | 9.0-17.0 | - | Normal |
| PCT | 0.258 | 0.108-0.282 | % | Normal |
| P-LCC | 72 | 30.0-90.0 | 10^9/L | Normal |
| P-LCR | 26.5 | 11.0-45.0 | % | Normal |
Summary of Abnormal Findings
- Hb: 11.0 g/dL (normal for females: 12-15 g/dL) - below normal
- PCV/HCT: 33.5% (normal: 40-50%) - significantly low
- This confirms true anaemia, not a dilutional or technical artefact
- MCV: 74.4 fL (normal: 80-100 fL) - reduced, indicating small red cells (microcytosis)
- MCH: 24.4 pg (normal: 27-34 pg) - reduced, indicating less haemoglobin per cell (hypochromia)
- MCHC: 32.7 g/dL - still within normal range (low-normal), meaning the concentration of Hb per cell volume is borderline
- RDW-CV: 42.6% (normal: 11.0-16.0%) - extremely elevated
- RDW-SD: 118.1 fL (normal: 35-56 fL) - extremely elevated
Clinical Interpretation
- Low Hb + Low PCV
- Low MCV (microcytic)
- Low MCH (hypochromic)
- Very high RDW (marked anisocytosis - hallmark of IDA)
- Normal WBC and platelets
| Condition | MCV | MCH | RDW | MCHC |
|---|---|---|---|---|
| Iron Deficiency Anaemia | Low | Low | Very High | Low-normal |
| Beta-thalassaemia trait | Low | Low | Normal/mild elevation | Normal |
| Sideroblastic anaemia | Low/mixed | Low | High | Variable |
| Anaemia of chronic disease | Low/normal | Low/normal | Normal | Normal |
White Cell Differential - Normal
- Neutrophils 61.6% - normal (no neutrophilia suggesting bacterial infection; no neutropenia)
- Lymphocytes 33.8% - normal (no lymphocytosis of viral infection)
- Monocytes 3.8% - normal
- Eosinophils 0.8% - normal (no eosinophilia to suggest parasitic infection/allergy, which can sometimes co-exist with IDA in tropical settings)
- Basophils 0.00% - normal
Platelet Parameters - Normal
- Platelet count 273 x10^9/L - normal
- MPV, PDW, PCT, P-LCC, P-LCR all within reference ranges
- No thrombocytopenia or thrombocytosis
Suggested Further Investigations (for MBBS report)
- Serum Ferritin - most sensitive marker of iron stores; will be low in IDA
- Serum Iron and TIBC - low iron, high TIBC in IDA
- Transferrin Saturation - will be reduced in IDA (<16%)
- Peripheral Blood Smear - will show microcytes, hypochromic cells, pencil cells (elliptocytes), target cells, and anisopoikilocytosis in IDA
- Reticulocyte count - usually low-normal in IDA (inadequate response)
- Hb electrophoresis / HPLC - to rule out thalassaemia trait (HbA2 elevated in beta-thal trait)
Clinical Impression for MBBS Submission
The FBC of this 26-year-old female demonstrates a mild-to-moderate microcytic hypochromic anaemia (Hb 11.0 g/dL, MCV 74.4 fL, MCH 24.4 pg) with markedly elevated RDW (RDW-CV 42.6%, RDW-SD 118.1 fL), consistent with significant anisocytosis. The white cell count, differential, and platelet parameters are all within normal limits. The combination of microcytosis, hypochromia, and strikingly elevated RDW is most consistent with iron deficiency anaemia. Thalassaemia trait should be excluded by haemoglobin electrophoresis and iron studies. Further investigations including serum ferritin, serum iron, TIBC, and peripheral blood film are recommended to confirm the diagnosis and guide management.