The risk prediction model for acute urine retention after perineal prostate biopsy based on the LASSO approach and Boruta feature selection

ObjectiveOne known side effect of transperineal (TP) prostate biopsies is acute urine retention (AUR). We aimed to create and evaluate a predictive model for the post-paracentesis risk of acquiring AUR.MethodsThis study included 599 patients undergoing prostate biopsies (April 2020-July 2023) at the...

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Auteurs principaux:	Cheng Shen, Gen Chen, Zhan Chen, Junjie You, Bing Zheng
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-09-01
Collection:	Frontiers in Oncology
Sujets:	acute urinary retention prostate biopsy machine learning predictive model Boruta feature selection
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1626529/full
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