A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naive patients.

ABSTRACT:

Purpose

This study aimed to develop and validate a model based on biparametric magnetic resonance imaging (bpMRI) for the detection of clinically significant prostate cancer (csPCa) in biopsy-naïve patients.

Method

This retrospective study included 324 patients who underwent bpMRI and MRI targeted fusion biopsy (MRGB) and/or systematic biopsy, of them 217 were randomly assigned to the training group and 107 were assigned to the validation group. We assessed the diagnostic performance of three bpMRI-based scorings in terms of sensitivity and specificity. Subsequently, 3 models (Model 1, Model 2, and Model 3) combining bpMRI scorings with clinical variables were constructed and compared with each other using the area under the receiver operating characteristic (ROC) curves (AU

SUBMITTER: Hu B 

PROVIDER: S-EPMC10478308 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature