The goal of this study is to apply cutting-edge imaging approaches, incorporating machine-learning for pattern recognition and multispectral analysis, to the development and validation of intermediate endpoint biomarkers in benign tissue that characterize the response to 5α-reductase inhibitor chemoprevention as well as the risk of prostate cancer among men with negative biopsies.
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Inclusion Criteria: * completed REDUCE trial (Year 4 exit biopsy with blocks and HE slides available; i.e., U.S. participants only) * compliant with assigned treatment based on either: (dutasteride group) at least 3 post-baseline serum DHT levels ≥ 50% lower than baseline, or (placebo group) at least 3 post-baseline serum DHT levels with none showing ≥ 50% decrease from baseline Exclusion Criteria: * N/A