Prostate Cancer Specification - Local Development build (v0.1.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
Prostate Cancer Specification
Official URL: http://prostatecancerspec.org/ImplementationGuide/prostatecancerspec
This Implementation Guide defines FHIR examples for prostate cancer pathology reporting based on the German Medical Informatics Initiative (MII) core datasets for pathology and oncology.
Scope and Purpose
This IG provides structured data models and comprehensive examples for prostate cancer pathology workflows, including:
Transurethral resection (TUR-P) with benign findings:
Benign prostatic hyperplasia (BPH), no carcinoma
5 blocks and 10 slides from TUR chips
Macroscopic and diagnostic findings from resection tissue
Structure of the Scenarios
The diagram above uses the Core Needle Biopsy scenario as a representative example. The other scenarios (Radical Prostatectomy, Transurethral Enucleation, Transurethral Resection) follow an analogous structure, differing primarily in the number and type of specimens, the applicable microscopic findings, and the diagnostic conclusion observations.
Resource Organization
Each example scenario is organized with the following structure:
The pathology findings and observations in this IG are based on the prostate cancer datasets published by the International Collaboration on Cancer Reporting (ICCR). These internationally agreed, evidence-based datasets define which elements should be reported in structured pathology reports for prostate cancer specimens:
All three datasets were updated in 2024 to align with the 2022 WHO Classification of Urinary and Male Genital Tumours (5th edition) and TNM8 staging.
Standards Compliance
FHIR R4 (4.0.1)
LOINC codes for laboratory values, pathology observations, and Gleason scoring
SNOMED CT for clinical terminology, histological findings, and anatomical locations
ICD-O-3 for histological tumor type classification
ICD-10-GM for diagnoses
TNM Classification for cancer staging
Key Features
Complete Specimen Hierarchies: All examples include complete specimen traceability from tissue parts through blocks to individual slides
Grouper Pattern: Uses MII Pathology Grouper pattern to organize findings into macroscopic, microscopic (where applicable), and diagnostic conclusion sections
Comprehensive Coding: All observations include appropriate LOINC and SNOMED CT codes
Real-world Scenarios: Examples represent actual clinical workflows and findings
Progressive Severity: Examples range from favorable (prostatectomy) to aggressive (enucleation) cancer presentations