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ABSTRACT: Background
The integration of blood-based biomarkers and multiparametric magnetic resonance imaging (mpMRI) has been proposed to improve prostate cancer (PCa) diagnosis. However, few validated models combine both tools to support risk-adapted clinical decision-making.Objective
The study's aim is to evaluate and internally validate a multivariable model integrating clinical, analytical and imaging parameters-including the Prostate Health Index (PHI) and mpMRI-for predicting clinically significant prostate cancer (csPCa) in biopsy-naïve men.Design setting and participants
This prospective observational study included 183 biopsy-naïve men aged 50-75 years with PSA levels of 4-10 ng/mL and/or abnormal digital rectal examination. All patients underwent PHI testing, and 4
SUBMITTER: Esteban MD
PROVIDER: S-EPMC12672186 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature