Development and validation of a predictive model based on clinical and MpMRI findings to reduce additional systematic prostate biopsy.

ABSTRACT:

Objectives

To develop and validate a predictive model based on clinical features and multiparametric magnetic resonance imaging (mpMRI) to reduce unnecessary systematic biopsies (SBs) in biopsy-naïve patients with suspected prostate cancer (PCa).

Methods

A total of 274 patients who underwent combined cognitive MRI-targeted biopsy (MRTB) with SB were retrospectively enrolled and temporally split into development (n = 201) and validation (n = 73) cohorts. Multivariable logistic regression analyses were used to determine independent predictors of clinically significant PCa (csPCa) on cognitive MRTB, and the clinical, MRI, and combined models were established respectively. Area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analyse

SUBMITTER: Cheng X 

PROVIDER: S-EPMC10772021 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature