This study aims to investigate a novel Centre-Adaptive Multi-Modal Fusion Framework (Cad-MMFF) that integrates clinical, ultrasound, and MRI data to improve the detection of clinically significant prostate cancer (csPCa), reduce unnecessary biopsies, and optimize MRI utilization.
Ethnically Chinese men aged ≥ 50
Suspicion of PCa [elevated PSA (>4-ng/ml) or abnormal DRE/PHI] and indicated for prostate biopsy
Obtained clinical consent (for prospectively enrolled patients only)
Prior biopsy/treatments for PCa
History of genitourinary cancer
Poor image quality
Incomplete imaging scans/clinical data/pathological results
Chinese University of Hong Kong
Lead sponsor
The Hong Kong Polytechnic University
Collaborator