The modified R.E.N.A.L. nephrometry score comprising longitudinal tumor localization is better for predicting intraoperative collecting system entry during robot‐assisted partial nephrectomy

Author:

Kobayashi Keita1ORCID,Ban Yoshimasa1,Hiroyoshi Toshiya1,Isoyama Naohito1,Shiraishi Koji1

Affiliation:

1. Department of Urology, Graduate School of Medicine Yamaguchi University Yamaguchi Japan

Abstract

AbstractIntroductionDuring robot‐assisted partial nephrectomy (RAPN) for small renal tumors, intraoperative collecting system entry (CSE) is a factor that defines the surgical complexity (prolonged inhibition time), complications (postoperative urinary leakage), and requirements for intraoperative ureteral catheter insertion.MethodsFrom October 2018 to March 2023, 113 consecutive patients who underwent RAPN for clinical T1‐stage renal tumors were included in this single‐center retrospective validation study. Patient and tumor characteristics associated with intraoperative CSE were analyzed to validate the modified R.E.N.A.L. nephrometry score (RNS).ResultsIntraoperative CSE was observed in 54 patients (48%). During the univariate analysis, upper pole tumor location, tumor size, renal sinus invasion, and urinary tract proximity were significant predictors of intraoperative CSE. Subsequent multivariate analysis identified upper pole tumor location (upper vs. lower: odds ratio [OR], 5.36; p = .014) and nearness of the tumor to the collecting system or sinus (>4 but <7 mm vs. ≥7 mm: OR, 4.17; p = .04; ≤4 mm vs. ≥7 mm: OR, 32.71; p < .001) as independent predictors of intraoperative CSE.ConclusionThe modified RNS, which includes longitudinal tumor localization as a variable instead of polar line‐based tumor location, may be a better risk classification tool than the conventional RNS (area under the receiver‐operating characteristic curve: 0.816 vs. 0.754) for determining the need for intraoperative ureteral catheter insertion and predicting intraoperative CSE and surgical complexity.

Publisher

Wiley

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3