The application of the nomogram model based on ADC histogram features in predicting clinically significant prostate cancer
Xi Gao,
Shuanglin Zhang
Abstract:Objectives This study aimed to develop a nomogram model using ADC histogram features to predict clinically significant prostate cancer (CSPCa).Methods A retrospective analysis was conducted on 283 patients with suspected prostate cancer admitted to the Urology Department of Jiangnan University Affiliated Central Hospital from January 2019 to June 2024. Patients were randomly divided into a training set (70%, 198 cases) and an internal validation set (30%, 85 cases). Key features were selected through univariat… Show more
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