PD07-06 RENAL TUMOR PLANAR EXTENSION IN THREE-DIMENSIONAL MODEL AS A NOVEL TECHNIQUE FOR PREOPERATIVE ASSESSMENT OF ROBOTIC PARTIAL NEPHRECTOMY

Abstract

You have accessJournal of UrologyCME1 Apr 2023PD07-06 RENAL TUMOR PLANAR EXTENSION IN THREE-DIMENSIONAL MODEL AS A NOVEL TECHNIQUE FOR PREOPERATIVE ASSESSMENT OF ROBOTIC PARTIAL NEPHRECTOMY Xinfei Li, Kunlin Yang, Xiaoteng Yu, Zhongyuan Zhang, Cuijian Zhang, Lin Cai, Zheng Zhang, Cheng Shen, Jin Tao, Dapeng Wu, Xuepei Zhang, Hailong Hu, Liqun Zhou, and Xuesong Li Xinfei LiXinfei Li More articles by this author , Kunlin YangKunlin Yang More articles by this author , Xiaoteng YuXiaoteng Yu More articles by this author , Zhongyuan ZhangZhongyuan Zhang More articles by this author , Cuijian ZhangCuijian Zhang More articles by this author , Lin CaiLin Cai More articles by this author , Zheng ZhangZheng Zhang More articles by this author , Cheng ShenCheng Shen More articles by this author , Jin TaoJin Tao More articles by this author , Dapeng WuDapeng Wu More articles by this author , Xuepei ZhangXuepei Zhang More articles by this author , Hailong HuHailong Hu More articles by this author , Liqun ZhouLiqun Zhou More articles by this author , and Xuesong LiXuesong Li More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003231.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: To describe a tumor planar extension technique in three-dimensional (3D) model and assess its practicability in robot-assisted partial nephrectomy (RAPN). METHODS: A total of 231 patients with a renal tumor who underwent RAPN between Mar 2019 and Mar 2022 was prospectively enrolled. The 3D model was obtained based on enhanced CT urography. The tumor plane was extended equidistantly (10 mm) according to the original shape. The patients were divided into the collecting system involvement (CSI) group and the collecting system negative (CSN) group based on the relationship between the extended plane and the collecting system. The evaluation indicators included operative time, ischemia time, positive margin, major complication, and trifecta outcome (negative margin, ischemic time ≤25min, no major complication). RESULTS: The tumor diameter was 2.9 (0.8-10.0) cm. Median PADUA score was 8 (6-15). There were 173 and 58 patients in CSN and CSI groups, respectively. The operative time was 110.3±36.2 and 116.9 ± 36.6 min in CSN and CSI groups (p=0.228). The ischemic time in CSI group was significantly longer than that in CSN group (26.7±10.0 vs 21.0 ± 7.8 min, p<0.001). The patients in CSI group had a higher positive margin rate (1.72% vs. 0.58%) and higher risk of complications (8.62% vs 5.78%), but there was no statistical significance. Patients in CSI group whose ischemia time greater than 25 min was significantly more than that in CSN group (44.83% vs 21.39%, p=0.001). The failure rate in trifecta outcome in CSI group was significantly higher (46.55% vs 24.42%, p=0.003). The area under ROC curve in predicting trifecta outcome was 0.599 (p=0.017) based on the relationship between the tumor planar extension and the collecting system. CONCLUSIONS: The 3D tumor planar extension is a novel technique for tumor anatomy assessment and helps predict surgical outcomes of RAPN. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e164 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Xinfei Li More articles by this author Kunlin Yang More articles by this author Xiaoteng Yu More articles by this author Zhongyuan Zhang More articles by this author Cuijian Zhang More articles by this author Lin Cai More articles by this author Zheng Zhang More articles by this author Cheng Shen More articles by this author Jin Tao More articles by this author Dapeng Wu More articles by this author Xuepei Zhang More articles by this author Hailong Hu More articles by this author Liqun Zhou More articles by this author Xuesong Li More articles by this author Expand All Advertisement PDF downloadLoading ...