Unknown

Dataset Information

Multivariable model integrating PHI and mpMRI for detecting csPCa in biopsy-naive men.


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