Literature DB >> 22967057

The role of R.E.N.A.L. nephrometry score in the era of robot-assisted partial nephrectomy.

Keng-Siang Png1, Clinton D Bahler, Daniel P Milgrom, Steven M Lucas, Chandru P Sundaram.   

Abstract

PURPOSE: We studied the role of the R.E.N.A.L. nephrometry score (NS) in predicting surgical outcomes in a series of robot-assisted partial nephrectomy (RAPN). PATIENTS AND METHODS: Of 99 cases of minimally invasive partial nephrectomy performed by a single surgeon from 2003 to 2011, 83 were performed with robotic assistance. A trained physician investigator applied the NS to these 83 cases using the preoperative CT scans. Forty-two of these were reviewed by a urology resident to eliminate interobserver variation. Tumors were categorized into noncomplex (NS 4-6) or complex (NS 7-12) tumors, and perioperative outcomes were compared. Outcomes were also compared by each component of the NS. Perioperative outcomes were analyzed using chi-square tests and Mann-Whitney/Kruskal-Wallis tests. Univariate regression was used to analyze trends between nephrometry and outcomes.
RESULTS: Strong correlation was found between the two sets of NS (Spearman correlational coefficient 0.814, P<0.001). Comparing between noncomplex and complex tumors, statistical differences were found in operative time (181 min vs 215 min, P=0.028) and ischemia time (21 min vs 24 min, P=0.006). Complication rates, blood loss, conversion rate, and decrease in glomerular filtration rate were similar in both groups. On univariate regression analysis, only warm ischemia time showed a significant trend with the overall NS (P=0.007) and the location score (P=0.031).
CONCLUSIONS: A high NS was not associated with clinically worse outcomes during RAPN. Such renal tumors can still be excised safely with robotic assistance without adverse long-term effects.

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Year:  2013        PMID: 22967057     DOI: 10.1089/end.2012.0182

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


  10 in total

1.  Impact of robotic partial nephrectomy with and without ischemia on renal functions: experience in 34 cases.

Authors:  Kemal Ener; Abdullah Erdem Canda; Serkan Altınova; Ali Fuat Atmaca; Erdal Alkan; Erem Asil; Muhammet Fuat Özcan; Ziya Akbulut; Mevlana Derya Balbay
Journal:  Turk J Urol       Date:  2016-12

2.  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

3.  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

4.  Robot-assisted laparoscopic partial nephrectomy: Early single Canadian institution experience.

Authors:  Guillaume Ploussard; Richard Haddad; Evan Kovac; Patrick Richard; Maurice Anidjar; Franck Bladou
Journal:  Can Urol Assoc J       Date:  2013 Sep-Oct       Impact factor: 1.862

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

6.  The impact of non-hilar clamping open partial technique performed for the treatment of patients with small renal masses with lower R.E.N.A.L. nephrometry scores on renal functions during the early postoperative period.

Authors:  Doğan Atılgan; Şahin Kılıç; Yusuf Gençten; Nihat Uluocak; Fatih Fırat; Engin Kölükçü; Bekir Süha Parlaktaş
Journal:  Turk J Urol       Date:  2014-06

7.  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

8.  Effect of 3-Dimensional Virtual Reality Models for Surgical Planning of Robotic-Assisted Partial Nephrectomy on Surgical Outcomes: A Randomized Clinical Trial.

Authors:  Joseph D Shirk; David D Thiel; Eric M Wallen; Jennifer M Linehan; Wesley M White; Ketan K Badani; James R Porter
Journal:  JAMA Netw Open       Date:  2019-09-04

Review 9.  Robot-assisted partial nephrectomy for moderate to highly complex renal masses. A systematic review and meta-analysis.

Authors:  Gopal Sharma; Aditya Prakash Sharma; Shantanu Tyagi; Girdhar Singh Bora; Ravimohan Suryanarayan Mavuduru; Sudheer Kumar Devana; Shrawan Kumar Singh
Journal:  Indian J Urol       Date:  2022-07-01

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

  10 in total

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