Literature DB >> 21988126

Reproducibility and fidelity of the R.E.N.A.L. nephrometry score.

Sylvia Montag1, Nikhil Waingankar, Mostafa A Sadek, Soroush Rais-Bahrami, Louis R Kavoussi, Manish A Vira.   

Abstract

BACKGROUND AND
PURPOSE: The R.E.N.A.L nephrometry score (NS) was developed to characterize renal tumor anatomy to facilitate standardized reporting and ultimately clinical decision making. Up to three points are assigned for each of the following criteria: Tumor size (R), exophytic vs endophytic nature (E), nearness to the collecting system (N), anterior vs posterior (A), and polar location (L), with more complex lesions receiving higher scores. There are no independent studies to date that validate the reproducibility of this scoring system. Our aim was to validate the R.E.N.A.L. NS system by assessing interobserver variability, and therefore reproducibility and fidelity of this proposed assessment tool. PATIENTS AND METHODS: We reviewed our prospectively collected laparoscopic partial nephrectomy (LPN) database and identified 306 patients with available preoperative CT or MRI. Of these, 149 were independently read by two urology residents who assigned NS. The Pearson test was used to assess interobserver variability of total NS as well as each of the five components of the scoring system.
RESULTS: Interobserver correlation of total NS calculated by the Pearson test was found to be 0.92 (P<0.001). Concordance rates for each of the individual nephrometry components R.E.N.A.L (hilar) were 96%, 92%, 86%, 96%, 89%, and 99% respectively. A t test showed no significant difference between final NS assigned by two different observers.
CONCLUSION: The R.E.N.A.L. NS system is a comprehensive and reproducible tool that may aid surgeons in communicating tumor characteristics effectively. Interobserver correlation is high, rendering it a high fidelity assessment tool.

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Year:  2011        PMID: 21988126     DOI: 10.1089/end.2011.0217

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


  10 in total

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2.  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

3.  Interobserver variability of R.E.N.A.L., PADUA, and centrality index nephrometry score systems.

Authors:  Massimiliano Spaliviero; Bing Ying Poon; Omer Aras; Pier Luigi Di Paolo; Giuliano B Guglielmetti; Christian Z Coleman; Christoph A Karlo; Melanie L Bernstein; Daniel D Sjoberg; Paul Russo; Karim A Touijer; Oguz Akin; Jonathan A Coleman
Journal:  World J Urol       Date:  2014-08-24       Impact factor: 4.226

4.  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

5.  Obesity as defined by waist circumference but not body mass index is associated with higher renal mass complexity.

Authors:  Laura A Bertrand; Lewis J Thomas; Peng Li; Claire M Buchta; Shannon K Boi; Rachael M Orlandella; James A Brown; Kenneth G Nepple; Lyse A Norian
Journal:  Urol Oncol       Date:  2017-08-07       Impact factor: 3.498

6.  Reproducibility and interobserver agreement of the R.E.N.A.L. nephrometry score: focus on imaging features.

Authors:  Richard Mast Vilaseca; Antonio Carlos Westphalen; Henrique Ferreira Reis; Orlando Salomão Zogbi; Gyl Eanes Silva; Rodolfo Borges Dos Reis; Valdair Francisco Muglia
Journal:  Radiol Bras       Date:  2017 Jan-Feb

7.  Interobserver Reliability of the RENAL Nephrometry Scoring System: Experience From a Developing Nation.

Authors:  Kumail Khandwala; Dawar B Khan; Zainab Hussain; Nida Sajjad; Muhammad Ismail Alvi
Journal:  Cureus       Date:  2020-11-11

8.  Trends in the Use of Nephron-Sparing Surgery over 7 Years: An Analysis Using the R.E.N.A.L. Nephrometry Scoring System.

Authors:  Seung Jea Shin; Kwang Jin Ko; Tae Sun Kim; Hyun Soo Ryoo; Hyun Hwan Sung; Hwang Gyun Jeon; Byong Chang Jeong; Seong Il Seo; Hyun Moo Lee; Han Yong Choi; Seong Soo Jeon
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

9.  Comparison of RENAL, PADUA, and C-index scoring systems in predicting perioperative outcomes after nephron sparing surgery.

Authors:  Aditya P Sharma; Ravimohan Suryanarayana Mavuduru; Girdhar Singh Bora; Sudheer K Devana; Kiruthika Palani; Anupam Lal; Nandita Kakkar; Shrawan K Singh; Arup K Mandal
Journal:  Indian J Urol       Date:  2018 Jan-Mar

10.  Parallel comparison of R.E.N.A.L., PADUA, and C-index scoring systems in predicting outcomes after partial nephrectomy: A systematic review and meta-analysis.

Authors:  Can Hu; Jiale Sun; Zhiyu Zhang; Haoyang Zhang; Qi Zhou; Jiangnan Xu; Zhixin Ling; Jun Ouyang
Journal:  Cancer Med       Date:  2021-07-14       Impact factor: 4.452

  10 in total

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