Mp74-16 Avoiding Unnecessary Prostate Biopsy to Detect Primary Prostate Cancer: The Non-Invasive Diagnosis Value of 68 Ga-Psma Pet/Ct-Based Radiomics Analysis With Machine Learning

You have accessJournal of UrologyProstate Cancer: Detection specificity, 93.1%; accuracy, 87.5% ; PPV, 97%; NPV, 71.1% ). For csPCa prediction, the Decision tree algorithm achieved the highest AUC of 0.921 (with sensitivity, 92.6%; specificity, 82.9%; accuracy, 88.3%; PPV, 91.3%; NPV, 0.853%). CONCLUSIONS: To the best of our knowledge, the present study included the largest number of patients(97 individuals in BPD cohort, 252 individuals in PCa cohort, respectively), providing a non-invasive and quantitative method for predicting PCa, which could be used to gauge PCa risk prior to unnecessary biopsies. Source of Funding: This research was supported by National Natural Science Foundation of China (82272907,81974397), the key Research and Development program of Hunan Province(2021SK2014), National Key Research and Development Plan (2017YFC0908004), Clinical Big Data System Construction Project Fund of Xiangya Hospital (No. 33020125030) and the Xiangya Famous Doctor Fund of Central South University (33020123007) © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e1199 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Jiaxian Chen More articles by this author Yongxiang Tang More articles by this author Lin Qi More articles by this author Xiaomei Gao More articles by this author Shuo Hu More articles by this author Yi Cai More articles by this author Expand All Advertisement PDF downloadLoading ...