A scoring diagnostic system based on biparametric ultrasound features for prostate cancer risk assessment.

ABSTRACT:

Background

Ultrasound has advantages in prostate cancer (PCa) detection and biopsy guidance but lacks a comprehensive quantitative evaluation model with multiparametric features. We aimed to construct a biparametric ultrasound (BU) scoring system for PCa risk assessment and to provide an option for clinically significant prostate cancer (csPCa) detection.

Methods

From January 2015 to December 2020, 392 consecutive patients at Chongqing University Cancer Hospital who underwent BU (grayscale, Doppler flow imaging, and contrast-enhanced ultrasound) and multiparametric magnetic resonance imaging (mpMRI) before biopsy were retrospectively enrolled in the training set to construct the scoring system. From January 2021 to May 2022, 166 consecutive patients at Chongqing University C

SUBMITTER: Liu X 

PROVIDER: S-EPMC10240001 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature