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Dataset Information

Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naive men across racial/ethnic groups.


ABSTRACT:

Introduction

The Prostate Imaging Reporting and Data System (PIRADS) has shown promise in improving the detection of Gleason grade group (GG) 2-5 prostate cancer (PCa) and reducing the detection of indolent GG1 PCa. However, data on the performance of PIRADS in Black and Hispanic men is sparse. We evaluated the accuracy of PIRADS scores in detecting GG2-5 PCa in White, Black, and Hispanic men.

Methods

We performed a multicenter retrospective review of biopsy-naïve Black (n = 108), White (n = 108), and Hispanic (n = 64) men who underwent prostate biopsy (PB) following multiparametric MRI. Sensitivity and specificity of PIRADS for GG2-5 PCa were calculated. Race-stratified binary logistic regression models for GG2-5 PCa using standard clinical variables and PIRADS were used to

SUBMITTER: Meza J 

PROVIDER: S-EPMC9295380 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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