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ABSTRACT: Objective
Utilizing personalized risk assessment for clinically significant prostate cancer (csPCa) incorporating multiparametric magnetic resonance imaging (mpMRI) reduces biopsies and overdiagnosis. We validated both multi- and univariate risk models in biopsy-naïve men, with and without the inclusion of mpMRI data for csPCa detection.Methods
N = 565 men underwent mpMRI-targeted prostate biopsy, and the diagnostic performance of risk calculators (RCs), mpMRI alone, and clinical measures were compared using receiver operating characteristic curve (ROC) analysis and decision curve analysis (DCA). Subgroups were stratified based on mpMRI findings and quality.Results
csPCa was detected in 56.3%. PI-RADS score achieved the highest area under the curve (AUC) when compar
SUBMITTER: Krausewitz P
PROVIDER: S-EPMC10964518 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature