Literature DB >> 21851270

Does nephrometry scoring of renal tumors predict outcomes in patients selected for robot-assisted partial nephrectomy?

Patrick W Mufarrij1, L Spencer Krane, Srinivas Rajamahanty, Ashok K Hemal.   

Abstract

BACKGROUND AND
PURPOSE: Robot-assisted partial nephrectomy has emerged as a viable surgical treatment for patients with certain renal tumors. We hypothesized that extirpation of more complex tumors, as graded with the nephrometry score, would result in worse operative and postoperative outcomes when compared with tumors with lower nephrometry scores. We report whether nephrometry-graded tumor complexity impacted operative or postoperative outcomes. PATIENTS AND METHODS: A single experienced surgeon at our tertiary-care institution performed more than 100 robot-assisted partial nephrectomies. Istitutional Review Board-approved data collection was available for 95 patients, and nephrometry scores were available for 92 patients. Cases were divided into tertiles, based on their nephrometry score of low, medium, or high. We compared preoperative, operative, and postoperative data to evaluate any differences between the three tertiles. Statistical analysis was performed using JMP 8 software.
RESULTS: There were 66, 22, and 4 patients in the low, medium, and high nephrometry score tertiles, respectively. There were no statistically significant differences between the tertiles regarding warm ischemia time, estimated blood loss, operative time, length of stay, change in glomerular filtration rate, Clavien-graded complication rates, or any other metric. Mean follow-up for each tertile was also similar.
CONCLUSIONS: We have routinely been using the nephrometry scoring system to anatomically describe renal masses before robot-assisted partial nephrectomy. Our findings demonstrate that nephrometry-graded tumor complexity was not related to any differences in outcomes for patients with renal tumors who were selected at our institution to undergo robot-assisted partial nephrectomy. The nephrometry system remains a reproducible standardized classification of renal tumor anatomy, but it remains to be seen if this can be used to predict surgical outcomes.

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Mesh:

Year:  2011        PMID: 21851270     DOI: 10.1089/end.2011.0003

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  13 in total

1.  Prediction of perioperative outcomes following minimally invasive partial nephrectomy: role of the R.E.N.A.L nephrometry score.

Authors:  Zhuo-Wei Liu; Ephrem O Olweny; Gang Yin; Stephen Faddegon; Yung K Tan; Woong Kyu Han; Jeffrey A Cadeddu
Journal:  World J Urol       Date:  2012-04-28       Impact factor: 4.226

2.  Application of modified R.E.N.A.L. nephrometry score system in evaluating the retroperitoneal partial nephrectomy for T1 renal cell carcinoma.

Authors:  Qinzhang Wang; Biao Qian; Qiang Li; Zhao Ni; Yinglong Li; Xinmin Wang
Journal:  Int J Clin Exp Med       Date:  2015-04-15

3.  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

4.  Anatomic complexity quantitated by nephrometry score is associated with prolonged warm ischemia time during robotic partial nephrectomy.

Authors:  Jeffrey J Tomaszewski; Marc C Smaldone; Reza Mehrazin; Neil Kocher; Timothy Ito; Philip Abbosh; Jacob Baber; Alexander Kutikov; Rosalia Viterbo; David Y T Chen; Daniel J Canter; Robert G Uzzo
Journal:  Urology       Date:  2014-06-10       Impact factor: 2.649

5.  Association between R.E.N.A.L. nephrometry score and perioperative outcomes following open partial nephrectomy under cold ischemia.

Authors:  Dong Soo Park; Jin Ho Hwang; Moon Hyung Kang; Jong Jin Oh
Journal:  Can Urol Assoc J       Date:  2014 Mar-Apr       Impact factor: 1.862

Review 6.  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

7.  Can the R.e.N.a.L nephrometry score preoperatively predict postoperative clinical outcomes in patients undergoing open and laparoscopic partial nephrectomy?

Authors:  Stella Roushias; Nikhil Vasdev; Bhaskar Ganai; Sebastian Mafeld; David Rix; David Thomas; Naeem Soomro
Journal:  Curr Urol       Date:  2013-10-30

8.  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

9.  Role of R.E.N.A.L. Nephrometry Score in Laparoscopic Partial Nephrectomy.

Authors:  Hai-Jiang Zhou; Yong Yan; Jian-Zhong Zhang; Li-Rong Liang; Shu-Bin Guo
Journal:  Chin Med J (Engl)       Date:  2017-09-20       Impact factor: 2.628

10.  Diameter-Axial-Polar Nephrometry is Predictive of Surgical Outcomes Following Partial Nephrectomy.

Authors:  Mingmin Li; Yi Gao; Jiwen Cheng; Le Qu; Junming Chen; Chen Cai; Bing Xu; Peng Li; Yi Bao; Zhipeng Xu; Yifan Xu; Dengshuang Wu; Zhenjie Wu; Linhui Wang; Yinghao Sun
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.889

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