A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification.

ABSTRACT:

Importance

Multiparametric magnetic resonance imaging (MRI) in conjunction with MRI-transrectal ultrasound (TRUS) fusion-guided biopsies have improved the detection of prostate cancer. It is unclear whether MRI itself adds additional value to multivariable prediction models based on clinical parameters.

Objective

To determine whether an MRI-based prediction model can reduce unnecessary biopsies in patients with suspected prostate cancer.

Design, setting, and participants

Patients underwent MRI, MRI-TRUS fusion-guided biopsy, and 12-core systematic biopsy in 1 session. The development cohort used to derive the prediction model consisted of 400 patients from 1 institution enrolled between May 14, 2015, and August 31, 2016, and the validation cohort included 251 patients

SUBMITTER: Mehralivand S 

PROVIDER: S-EPMC5885194 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature