Goal: After radical prostatectomy, integrate whole-slide images from the prostatectomy specimen, biopsy findings, preoperative MRI, and longitudinal PSA kinetics to estimate time-dependent biochemical recurrence (BCR) risk at 1, 2, and 5 years. Cases may include multiple MRIs and/or biopsies over time, and missing modalities are intentionally present.

Input modalities

• Prostatectomy H&E whole-slide images (.tif)
• Preoperative biopsy WSI
• Multiparametric MRI
• Longitudinal PSA measurements (pre- and post-surgery)
• Clinical variables: age, Gleason Grade Group, surgical margins, extracapsular extension

Output required

• Quantitative BCR risk estimates at 1, 2, and 5 years
• Structured prognostic reasoning identifying dominant factors contributing to recurrence risk and handling of missing or conflicting data

Ground truth: BCR defined as confirmed PSA rise >= 0.2 ng/mL post-prostatectomy. Non-recurrent patients are treated as censored observations.

Dataset

Input data (precomputed): Precomputed MRI features as .h5 files + precomputed biopsy WSI features as .h5 files + precomputed prostatectomy WSI features as .h5 files (multiple slides per patient) + longitudinal PSA + clinical variables as .csv. Raw images are not provided for inference.

Expected output per case: JSON file (~5 KB) containing BCR risk estimates at 1, 2, and 5 years, and a structured reasoning trace.

Primary metric: Concordance index (C-index)

Provided tools: Standardized preprocessing and feature extraction for prostatectomy WSI; automated Gleason grading for biopsy and prostatectomy specimens; MRI-based cancer detection tool