A prognostic model for predicting urinary incontinence after robot-assisted radical prostatectomy

作者:Honda Masashi*; Kawamoto Bunya; Morizane Shuichi; Hikita Katsuya; Muraoka Kuniyasu; Sejima Takehiro; Takenaka Atsushi
来源:International Journal of Medical Robotics and Computer Assisted Surgery, 2017, 13(3): e1780.
DOI:10.1002/rcs.1780

摘要

BackgroundThe aim of this study is to develop a novel prognostic model for estimating the risk of postoperative urinary incontinence (UI) after robot-assisted radical prostatectomy (RARP). MethodsParticipants comprised 131 men who underwent RARP at our hospital from 2011 to 2013. Cox regression analyses were performed to evaluate associations between UI and preoperative factors including filling cystometry and pressure-flow study results and magnetic resonance imaging. ResultsLogistic regression analyses revealed significant associations between membranous urethral length or levator thickness and UI at 3 and 6months. Stratification produced high (membranous urethral length<9.5mm or levator thickness<9.0mm) and low (membranous urethral length9.5mm and levator thickness9.0mm) UI risk groups. These inter-group differences in UI rate were significant. ConclusionsWe developed a novel prognostic model based on preoperative patient data that can be used for patient counselling.

  • 出版日期2017-9

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