Mp36-03 Decoding Benign Renal Cortical Lesions: A Machine Learning Approach From the Inmarc Registry

You have accessJournal of UrologyKidney Cancer: Epidemiology F1 score 0.35; AUC 0.89). Every ML model demonstrated superior performances when compared to LR (Figure 1). Among ML model XGBoost demonstrated the best performances (Accuracy: 0.94; F1 score: 0.60; AUC: 0.94, Figure 1), and was used to develop U.N.I.K. CONCLUSIONS: Combining clinical features, serum biomarkers and radiographic findings, we have developed a point of care model (U.N.I.K.) capable of predicting, with significant accuracy, benign tumor in patients with cortical renal neoplasms being considered for surgical resection. U.N.I.K. may refine clinical decision making with respect to identification of patients with increased likelihood of benign tumor histology and reduce burden of surgical overtreatment. External validation is requisite. Download PPT Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e592 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Cesare Saitta More articles by this author Jonathan A. Afari More articles by this author Mimi V. Nguyen More articles by this author Kevin Hakimi More articles by this author Dattatraya Patil More articles by this author Hajime Tanaka More articles by this author Julian Cortes More articles by this author Margaret F. Meagher More articles by this author Mirha Mahmood More articles by this author Joshua Matian More articles by this author Mariam Mansour More articles by this author Dhruv Puri More articles by this author Clara Cerrato More articles by this author Kit L. Yuen More articles by this author Masaki Kobayashi More articles by this author Shohei Fukuda More articles by this author Nicolò M. Buffi More articles by this author Giovanni Lughezzani More articles by this author Yasuhisa Fujii More articles by this author Aditya Bagrodia More articles by this author Viraj Master More articles by this author Ithaar H. Derweesh More articles by this author Expand All Advertisement PDF downloadLoading ...