Multimodal approach to optimize biopsy decision-making for PI-RADS 3 lesions on multiparametric MRI.

ABSTRACT:

Purpose

To develop and evaluate a multimodal approach including clinical parameters and biparametric MRI-based artificial intelligence (AI) model for determining the necessity of prostate biopsy in patients with PI-RADS 3 lesions.

Methods

This retrospective study included a prospectively recruited patient cohort with PI-RADS 3 lesions who underwent prostate MRI and MRI/US fusion-guided biopsy between April 2019 and February 2024 in a single institution. The study examined demographic data, PSA and PSA density (PSAD) levels, prostate volumes, prospective PI-RADS v2.1-compliant interpretations of a genitourinary radiologist, lesion characteristics, history of prior biopsies, and AI evaluations, focusing mainly on the detection of clinically significant prostate cancer (csPCa)

SUBMITTER: Esengur OT 

PROVIDER: S-EPMC11624978 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature