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pathology-report-checker

Name: pathology-report-checker
Author: patolojiai

By patolojiAI

Analyzes surgical pathology cancer reports for compliance with CAP and ICCR guidelines. Validates pTNM staging (AJCC 8th edition), checks required-element completeness with severity-based scoring, generates synoptic templates, tumor-board summaries, SNOMED CT / ICD-O-3 codes, free-text→synoptic conversion, and amendments. Breast, colorectal, exocrine pancreas, gastric. English & Turkish.

npx claudepluginhub patolojiai/pathology-report-checker-skill --plugin pathology-report-checker

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pathology-report-checker

/pathology-report-checker

Analyzes surgical pathology cancer reports for compliance with CAP (College of American Pathologists) and ICCR (International Collaboration on Cancer Reporting) guidelines. Validates pTNM staging (AJCC 8th edition), checks required element completeness with severity-based scoring, generates blank or pre-filled CAP synoptic templates, creates 3-5 line tumor board summaries, suggests SNOMED CT and ICD-O-3 codes, converts free-text narratives to structured synoptic format, and drafts amendments/addenda. Use when the user pastes or uploads a pathology report (txt, pdf, docx, image, xlsx) and asks to "check CAP compliance", "verify staging", "generate synoptic template", "tumor board summary", "convert to synoptic", "calculate TNM stage", or "code with SNOMED" for breast invasive carcinoma, colorectal resection, exocrine pancreas carcinoma, or gastric carcinoma. Supports English and Turkish. Do NOT use for non-cancer pathology (inflammatory, infectious), cytology, or unsupported tumor types.

README

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Version1.4.0

ReleasedJun 8, 2026

LanguagePython

Stars1

MaintenanceExcellent

LicenseMIT

Last CommitJun 18, 2026

AddedJun 8, 2026

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pathology-report-checker-skill1

Pathology Report Checker

A Claude skill for surgical pathology quality assurance

Analyze cancer pathology reports for compliance with CAP/ICCR guidelines, validate TNM staging, generate synoptic templates, and more. Supports multiple tumor types and languages (English/Turkish).

⬇️ Download .skill · ▶️ Live demo · 🤗 Hugging Face · 🌐 Project website

🎓 Academic project — ECDP2026 oral presentation

This skill is the subject of a study selected for an oral presentation at ECDP2026, the 22nd European Congress on Digital Pathology (Graz, Austria, 17–20 June 2026):

“A Skill for Large Language Models to Evaluate Pathology Report Quality” Balcı P, Ünlü M, Nazlım S, Türkmen İ, Balcı S — Structured Reporting session, 19 June 2026.

100 anonymized Turkish colorectal reports were evaluated with this skill across cloud (Claude) and local (Mistral 7B / Ollama) models, with review by two pathologists. See the abstract, the acceptance notification, and the project website.

🎯 What This Skill Does

✅ Checks report completeness against CAP and ICCR guidelines
🔬 Validates TNM staging (AJCC 8th edition)
📋 Generates synoptic templates (with optional pre-fill)
📊 Creates tumor board summaries
🔄 Converts free-text reports to synoptic format
🏥 Suggests SNOMED CT and ICD-O-3 codes
✏️ Generates amendments and addenda
🌐 Supports English and Turkish

Features

✅ Completed Features

Report Compliance Checking

Feature	Description
Breast invasive carcinoma	CAP Breast.Invasive + ICCR dataset validation
Colorectal resection	CAP ColoRectal + ICCR dataset validation
Exocrine pancreas	CAP Panc.Exo + ICCR dataset validation
Gastric carcinoma	CAP Stomach + ICCR dataset, HER2/MSI, Laurén/Borrmann

Macroscopy/Gross Description

Feature	Description
Gross description completeness	AAPA guidelines, specimen-specific required elements
Gross vs Diagnosis validation	Size, margins, nodes, tumor extent discrepancies
Specimen-specific requirements	TME grading, Whipple margins, mastectomy elements

Analysis Capabilities

Feature	Description
Severity scoring	Critical/Major/Minor classification of gaps
Empty vs Missing detection	Distinguishes blank fields from absent fields
Cross-validation	pT vs size, pN vs node count, margin vs R classification
Quality metrics	Completeness, clarity, consistency scores
Trend tracking	Historical data for department QA
TNM stage calculator	AJCC 8th edition stage verification for all tumor types
Synoptic template generator	Generate blank CAP templates with all required fields
SNOMED CT / ICD-O-3 coding	Suggest morphology, topography, and procedure codes
AAPA Macroscopy	Integrated AAPA protocols in macroscopy files (all 4 tumor types)
Tumor board summary	Generate concise 3-5 line MDT summaries from reports
Free-text → Synoptic	Convert narrative reports to structured CAP format
Auto-fill suggestions	Suggest pT/pN/Stage based on tumor size, node count, findings
Amendment generator	Generate addendum/correction/amended report text
Watch folder	Auto-process new reports dropped into monitored directory

Input Modes

Feature	Description
Interactive	Paste report text in chat
File mode	Single or multiple report files
CLI folder mode	Process folder of images, PDFs, text files
CLI spreadsheet mode	Process Excel/CSV with report contents
Batch processing	Python script with Claude API

Output Formats

Feature	Description
Individual QA reports	Detailed per-report analysis
Summary statistics	Aggregate compliance metrics
CSV export	Structured data for analysis
Excel export	Multi-sheet workbook with details
Trend history	JSON for longitudinal tracking

🟡 In Progress

None currently

⬜ Planned Features

See .dev/TODO.md for full roadmap.

Coming Soon:

Pediatric tumors (Wilms, neuroblastoma, hepatoblastoma)
Lung carcinoma (NSCLC)
Prostate carcinoma

Supported Languages

Reports can be in any language. Designed and tested with:

Turkish
English

View full README on GitHub

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Yuan1z0825

pathology-report-checker

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