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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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Hoofdauteurs: Cheng Shen, Gen Chen, Zhan Chen, Junjie You, Bing Zheng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2025-09-01
Reeks:Frontiers in Oncology
Onderwerpen:
acute urinary retention
prostate biopsy
machine learning
predictive model
Boruta feature selection
Online toegang:https://www.frontiersin.org/articles/10.3389/fonc.2025.1626529/full
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