Predicting cancer detection rates from multiparametric prostate MRI Beyond the PI-RADS classification system.

ABSTRACT:

Introduction

Although the Prostate Imaging-Reporting and Data System (PI-RADS) categorization represents the standard method for assessing the risk of prostate cancer using prostate magnetic resonance imaging (MRI), there exists wide variation in cancer detection rates (CDRs) in real-world practice. We therefore evaluated the association of clinical and radiographic features with CDRs and developed a predictive model to improve clinical management.

Methods

We identified men aged 18-89 years with elevated prostate-specfic antigen (PSA) or on active surveillance for prostate cancer who underwent MRI-ultrasound (US) fusion biopsy or in-bore MRI-targeted biopsy. The associations of features with the per-lesion CDR (Gleason 6-10) and clinically significant (cs) CDR (Gleason 7-10)

SUBMITTER: Perez-Londono A 

PROVIDER: S-EPMC11879260 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature