Goal: Use multiparametric MRI and basic clinical variables (age, PSA, PSA density, prostate volume) to estimate the probability of clinically significant prostate cancer (csPCa) and recommend whether biopsy is warranted, before histopathological confirmation is available.
Input modalities
- Reports from multiparametric MRI (T2w, ADC maps, DWI)
- Clinical variables: age, PSA, PSA density, prostate volume
Output required
- Probability of csPCa
- Binary biopsy recommendation (yes / no)
- Structured reasoning trace referencing PI-RADS scores, lesion characteristics, zonal anatomy, and capsular contact
Ground truth: Histopathology-confirmed csPCa (ISUP Grade Group >= 2); negative cases confirmed by longitudinal PSA follow-up.
Dataset
| Split | Cases | Notes |
|---|---|---|
| Training | 75 | Radboudumc; real-world class distribution |
| Validation | 75 | Radboudumc; up to 5 submissions allowed |
| Test | 250 | 100 cases from Karolinska Institute (external); 1 submission allowed |
Input data: JSON file with structured input modalities.
Expected output per case: JSON file (~5 KB) containing the probability score and structured reasoning trace.
Primary metric: AUROC
Provided tool: Validated MRI prostate zone segmentation