The potential of a nomogram combined PI-RADS v2.1 and contrast-enhanced ultrasound (CEUS) to reduce unnecessary biopsies in prostate cancer diagnostics.

ABSTRACT:

Objectives

To develop a nomogram prediction model based on Prostate Imaging Reporting and Data System v.2.1 (PI-RADS v2.1) and contrast-enhanced ultrasound (CEUS) for predicting prostate cancer (PCa) and clinically significant prostate cancer (csPCa) in males with prostate-specific antigen (PSA) 4-10 ng ml^-1 to avoid unnecessary biopsy.

Methods

A total of 490 patients who underwent prostate biopsy for PSA 4-10 ng ml^-1 were enrolled and randomly divided into a pilot cohort (70%) and a validation cohort (30%). Univariate and multivariate logistic regression models were constructed to select potential predictors of PCa and csPCa, and a nomogram was created. The area under receiver operating characteristic (ROC) curve (AUC) was calculated, and compared usin

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9815734 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature