Borque-Fernando A, Esteban LM, Celma A, et al. - Researchers combined multiparametric MRI (mpMRI) findings with clinical parameters in order to present nomograms for diagnosing different scenarios of aggressiveness of prostate cancer (PCa). mpMRI prior to prostate biopsy (PBx) were performed on a cohort of 346 patients with suspicion of PCa because of abnormal finding in digital rectal examination (DRE) and/or high prostate specific antigen (PSA) level. They performed a conventional 12-core transrectal PBx with two extra cores from suspicious areas in mpMRI by cognitive fusion. They performed multivariate logistic regression analysis by combining age, PSA density (PSAD), DRE, number of previous PBx, and mpMRI findings to predict three different scenarios: PCa, significant PCa (ISUP-group ≥ 2), or aggressive PCa (ISUP-group ≥ 3). In this cohort, PCa incidence of 39.6% was reported, 32.6% of significant PCa, and 23.4% of aggressive PCa. The developed clinical and mpMRI-based nomograms had AUC of 0.856, 0.883, and 0.911, respectively. This study suggests a high discrimination ability of the models for three different scenarios of PCa aggressiveness.