Yunxiang Zheng, Panpan Liu, Xinru Yang, Yidong Guo, Xinxin Qiu, Xiunan Jin, Xianfei Luo, Tianxiang Zheng
K-12 Science, Technology, Engineering, and Math characteristics and recommendations based on analyses of teaching cases in China
Frontiers in psychology
diagnostic accuracy clinically significant prostate cancer cspca prostate imaging reporting data system version 2 piradsv2 limited subjectivity result interpretation false positive results certain similar anatomic structures aimed establish new model combining quantitative contrastenhanced ultrasound piradsv2 clinical parameters optimize piradsv2based model analysis conducted based data set 151 patients 2019 2022 multiple regression analysis showed prostate specific antigen density age piradsv2 quantitative parameters rush time washout area curve independent predictors based predictors established new predictive model aucs model 0910 0879 training validation cohort higher piradsv2based model 0865 0821 training validation cohort net reclassification index analysis indicated new predictive model improved classification patients decision curve analysis showed risk probabilities new predictive model improved clinical utility piradsv2based model generally new predictive model showed quantitative parameters contrast enhanced ultrasound could help improve diagnostic performance piradsv2 based model detecting cspca