Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men.

ABSTRACT: To quantify population-specific differences in prostate cancer (PCa) presentation between African American (AA) and White (W) men on MRI using radiomics. We identified N = 149 men with PCa who underwent 3T MRI, a confirmatory biopsy and for whom self-reported race was available. Patient studies were partitioned into training (DTr) and hold-out test set (DTe). Three hundred radiomic features quantifying textural patterns were extracted from radiologist delineated PCa regions of interest (ROI) on biparametric MRI. Features with significant differences (P < .05) between clinically significant (csPCa) and insignificant (ciPCa) PCa were identified. Machine learning models were trained separately for AA and W men (CAA, CW) on DTr to distinguish csPCa and ciPCa. Validation on DTe was assessed for

SUBMITTER: Midya A 

PROVIDER: S-EPMC12377208 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature