CD9 and posterior cortical atrophy: The optimal multivariate model for diagnosing PCa should be selected on the basis of the complexity (numbers of variables) and prediction efficiency (AUC); we rationally selected the multivariate model containing the variable age, smoking, drinking, family history, BMI, uEVEpCAM-CD9, PSA, and PV as the final diagnostic model.