Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.

ABSTRACT:

Background

Multiparametric MRI (mpMRI) is commonly recommended as a triage test prior to any prostate biopsy. However, there exists limited consensus on which patients with a negative prostate mpMRI could avoid prostate biopsy.

Purpose

To identify which patient could safely avoid prostate biopsy when the prostate mpMRI is negative, via a radiomics-based machine learning approach.

Study type

Retrospective.

Subjects

Three hundred thirty patients with negative prostate 3T mpMRI between January 2016 and December 2018 were included.

Field strength/sequence

A 3.0 T/T2-weighted turbo spin echo (TSE) imaging (T₂ WI) and diffusion-weighted imaging (DWI).

Assessment

The integrative machine learning (iML) model was trained to predict negative pros

SUBMITTER: Zheng H 

PROVIDER: S-EPMC8678175 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature