Sheridan AD, et al. - This study was designed to assess the frequency of clinically significant cancer (CSC) in Prostate Imaging Reporting and Data System (PI-RADS) category 3 (equivocal) lesions prospectively identified on multiparametric prostate MRI and to identify risk factors (RFs) for CSC that may aid in decision making. Researchers identified 111 PI-RADS category 3 lesions, 81 (73.0%) were benign, 11 (9.9%) were clinically insignificant (Gleason score, 6), and 19 (17.1%) were clinically significant. Multivariate analysis revealed three RFs as significant predictors of CSC: older patient age, smaller prostate volume, and abnormal digital rectal examination (DRE) findings. They suggested incorporating clinical parameters into risk stratification algorithms to improve the ability to detect clinically significant disease among PI-RADS category 3 lesions. This could also aid in the decision to perform biopsy.