Literature DB >> 22546382

Higher RENAL Nephrometry Score is predictive of longer warm ischemia time and collecting system entry during laparoscopic and robotic-assisted partial nephrectomy.

Wesley A Mayer1, Guilherme Godoy, Judy M Choi, Alvin C Goh, Shelly X Bian, Richard E Link.   

Abstract

OBJECTIVE: To investigate the predictive value of the RENAL Nephrometry Score (RNS) on operative outcomes during both laparoscopic partial nephrectomy (LPN) and robotic-assisted partial nephrectomy (RPN).
METHODS: We reviewed 67 consecutive patients with suspicious renal lesions and available radiographic data who underwent LPN or RPN by a single surgeon. Data included operative type, body mass index (BMI), gender, age, and side of tumor. RNSs were recorded using either magnetic resonance imaging or computed tomography scans. Warm ischemia time (WIT), estimated blood loss (EBL), and collecting system entry (CSE) were the endpoints for the analyses.
RESULTS: Total RNS entered as a continuous or dichotomous variable (<7 or ≥ 7), R-score, and N-score were independent predictors of WIT on multivariable analyses (P <.001, P = .001, P = .026, and P <.01, respectively). The total RNS and N-score were predictive of CSE in univariate analysis (P <.001). Neither total RNS nor its individual components were predictive of EBL.
CONCLUSION: Total RNS, as well as the N- and R-scores, can help predict both longer WIT and CSE during LPN and RPN. The RNS and its individual components may be useful in the preoperative planning and counseling of patients undergoing LPN or RPN.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22546382     DOI: 10.1016/j.urology.2012.01.048

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  16 in total

1.  Tumor diameter accurately predicts perioperative outcomes in T1 renal cancer treated with robot-assisted partial nephrectomy.

Authors:  Aaron M Potretzke; Theodora A Potretzke; B Alexander Knight; Joel Vetter; Alyssa M Park; Grecori Anderson; Sam B Bhayani; R Sherburne Figenshau
Journal:  World J Urol       Date:  2016-03-21       Impact factor: 4.226

2.  Utility of patient-specific silicone renal models for planning and rehearsal of complex tumour resections prior to robot-assisted laparoscopic partial nephrectomy.

Authors:  Friedrich-Carl von Rundstedt; Jason M Scovell; Smriti Agrawal; Jacques Zaneveld; Richard E Link
Journal:  BJU Int       Date:  2016-12-10       Impact factor: 5.588

3.  Pre-operative factors that predict trifecta and pentafecta in robotic assisted partial nephrectomy.

Authors:  Amanda E Kahn; Ashley M Shumate; Colleen T Ball; David D Thiel
Journal:  J Robot Surg       Date:  2019-04-16

4.  Factors influencing warm ischemia time in robot-assisted partial nephrectomy change depending on the surgeon's experience.

Authors:  Kazuyuki Numakura; Mizuki Kobayashi; Atsushi Koizumi; Soki Kashima; Ryohei Yamamoto; Taketoshi Nara; Mitsuru Saito; Shintaro Narita; Takamitsu Inoue; Tomonori Habuchi
Journal:  World J Surg Oncol       Date:  2022-06-15       Impact factor: 3.253

Review 5.  A Literature Review of Renal Surgical Anatomy and Surgical Strategies for Partial Nephrectomy.

Authors:  Tobias Klatte; Vincenzo Ficarra; Christian Gratzke; Jihad Kaouk; Alexander Kutikov; Veronica Macchi; Alexandre Mottrie; Francesco Porpiglia; James Porter; Craig G Rogers; Paul Russo; R Houston Thompson; Robert G Uzzo; Christopher G Wood; Inderbir S Gill
Journal:  Eur Urol       Date:  2015-04-22       Impact factor: 20.096

Review 6.  Partial nephrectomy--contemporary indications, techniques and outcomes.

Authors:  Scott Leslie; Alvin C Goh; Inderbir S Gill
Journal:  Nat Rev Urol       Date:  2013-04-16       Impact factor: 14.432

7.  Risk factors for postoperative hemorrhage after partial nephrectomy.

Authors:  Saebin Jung; Gyeong Eun Min; Benjamin I Chung; Seung Hyun Jeon
Journal:  Korean J Urol       Date:  2014-01-15

8.  Factors Influencing the Operative Approach to Renal Tumors: Analyses According to RENAL Nephrometry Scores.

Authors:  Jeong Hyun Oh; Hyun Yul Rhew; Taek Sang Kim
Journal:  Korean J Urol       Date:  2014-02-14

9.  Internal validation of the renal pelvic score: a novel marker of renal pelvic anatomy that predicts urine leak after partial nephrectomy.

Authors:  Jeffrey J Tomaszewski; Marc C Smaldone; Bic Cung; Tianyu Li; Reza Mehrazin; Alexander Kutikov; Daniel J Canter; Rosalia Viterbo; David Y T Chen; Richard E Greenberg; Robert G Uzzo
Journal:  Urology       Date:  2014-06-26       Impact factor: 2.649

10.  Significant impact of R.E.N.A.L. nephrometry score on changes in postoperative renal function early after robot-assisted partial nephrectomy.

Authors:  Hideaki Miyake; Junya Furukawa; Nobuyuki Hinata; Mototsugu Muramaki; Kazushi Tanaka; Masato Fujisawa
Journal:  Int J Clin Oncol       Date:  2014-09-17       Impact factor: 3.402

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