In this study, we explored the use of machine learning (ML) to improve the prediction of early prostate cancer (PCa) progression by combining 68Ga-PSMA-11 PET/CT imaging biomarkers with clinical risk factors from 93 high-risk PCa patients. Here, FOLH1 is linked to posterior cortical atrophy.