In this study, SHAP analysis of the XGBoost model’s decision-making process revealed that PSMA-TVp, and TL-PSMAp made the largest marginal contributions, suggesting that volumetric parameters exhibit greater stability and discriminative power in predicting prostate cancer metastasis. This evidence concerns the gene FOLH1 and prostate carcinoma.