Literature DB >> 25384701

Are urologists and radiologists equally effective in determining the RENAL Nephrometry score?

Steeve Benadiba1, Anne-Laure Verin, Geraldine Pignot, Thomas Bessede, Julien Drai, Rachid Bahi, Wilson Toussile, Laurence Rocher, Jean-Jacques Patard.   

Abstract

BACKGROUND: The RENAL nephrometry score (RNS) allows description of the anatomy and the complexity of renal masses. This study aimed to investigate the interobserver reproducibility of the RNS between a radiologist and a urologist.
METHODS: The computed tomography (CT) scans of patients undergoing partial nephrectomy in the authors' department between June 2010 and June 2013 were analyzed for determination of the RNS by a urologist and a radiologist blinded to the medical records. Cohen's kappa coefficient was used for interobserver reproducibility assessment. Correlations with per- and postoperative complication rates and renal function were assessed.
RESULTS: The study included 52 consecutive patients with a mean age of 55 years. The average score was 7.4 ± 1.7 for the urologist and 7.3 ± 1.5 for the radiologist. The Cohen's kappa was 0.81 for R, 0.47 for E, 0.63 for N, 0.28 for A, and 0.21 for L. The Pearson's coefficient for the total RNS was 0.70. The operative time and the occurrence of major complications were significantly correlated with the complexity assessed by the score of both observers. In the univariate analysis, the RNS, the American Society of Anesthesiologists score, and the patient's age were significantly associated with major complication rates. In the multivariate analysis, the RNS remained significantly associated with major complications. No significant difference in postoperative renal function according to complexity group was found by either the urologist or the radiologist.
CONCLUSIONS: The reproducibility of the RNS between the radiologist and the urologist was not very good, especially for some items referring to the location of the tumor, although the major complication rates were significantly associated with the RNS for both observers.

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Year:  2014        PMID: 25384701     DOI: 10.1245/s10434-014-4152-1

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  7 in total

1.  An Arterial Based Complexity (ABC) Scoring System to Assess the Morbidity Profile of Partial Nephrectomy.

Authors:  Massimiliano Spaliviero; Bing Ying Poon; Christoph A Karlo; Giuliano B Guglielmetti; Pier Luigi Di Paolo; Renato Beluco Corradi; Alexandre G Martin-Malburet; Felix Campos-Juanatey; Eva Escudero-Fontano; Daniel D Sjoberg; Paul Russo; Jonathan A Coleman; Oguz Akin; Karim A Touijer
Journal:  Eur Urol       Date:  2015-08-20       Impact factor: 20.096

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.  Performance Prediction for Surgical Outcomes in Partial Nephrectomy Using Nephrometry Scores: A Comparison of Arterial Based Complexity (ABC), RENAL, and PADUA Systems.

Authors:  Ricardo G Alvim; François Audenet; Emily A Vertosick; Daniel D Sjoberg; Karim A Touijer
Journal:  Eur Urol Oncol       Date:  2018-05-30

4.  Review of robot-assisted partial nephrectomy in modern practice.

Authors:  Aaron M Potretzke; John Weaver; Brian M Benway
Journal:  J Kidney Cancer VHL       Date:  2015-04-04

5.  Roughness of the renal tumor surface could predict the surgical difficulty of robot-assisted partial nephrectomy.

Authors:  Tomoyuki Tatenuma; Hiroki Ito; Kentaro Muraoka; Yusuke Ito; Hisashi Hasumi; Narihiko Hayashi; Keiichi Kondo; Noboru Nakaigawa; Kazuhide Makiyama
Journal:  Asian J Endosc Surg       Date:  2022-03-21

6.  The value of renal score in both determining surgical strategies and predicting complications for renal cell carcinoma: A systematic review and meta-analysis.

Authors:  Naipeng Shi; Feng Zu; Yong Shan; Shuqiu Chen; Bin Xu; Mulong Du; Ming Chen
Journal:  Cancer Med       Date:  2020-04-12       Impact factor: 4.452

7.  Three-dimensional nephrometry scoring system: a precise scoring system to evaluate complexity of renal tumors suitable for partial nephrectomy.

Authors:  Jingchao Liu; Jing Liu; Shuo Wang; Haifeng Zhao; Chuanxin Tian; Benkang Shi; Xianzhou Jiang
Journal:  PeerJ       Date:  2020-02-27       Impact factor: 2.984

  7 in total

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