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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Bibliografiska uppgifter

Huvudupphov:	Cheng Shen, Gen Chen, Zhan Chen, Junjie You, Bing Zheng
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2025-09-01
Serie:	Frontiers in Oncology
Ämnen:	acute urinary retention prostate biopsy machine learning predictive model Boruta feature selection
Länkar:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1626529/full
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