Literature DB >> 21849200

A multidisciplinary evaluation of inter-reviewer agreement of the nephrometry score and the prediction of long-term outcomes.

Christopher J Weight1, Thomas D Atwell, Robert T Fazzio, Simon P Kim, McCabe Kenny, Christine M Lohse, Stephen A Boorjian, Bradley C Leibovich, R Houston Thompson.   

Abstract

PURPOSE: The nephrometry score was introduced in 2009 as a way to quantify renal tumor complexity in a systematic way. However, the reproducibility of scoring has not been rigorously validated across specialty or level of training, nor has it been evaluated with regard to meaningful clinical outcomes.
MATERIALS AND METHODS: We identified 95 consecutive patients with a solid renal mass treated surgically. Each renal tumor was separately scored by 6 reviewers, including 2 staff urologists, 1 staff radiologist, 2 trainees (1 urology, 1 radiology) and 1 medical student. Inter-reviewer agreement for nephrometry score was evaluated using Lin's concordance correlation coefficient. We evaluated the ability of the nephrometry score to predict surgery type, pathological features and clinical outcomes.
RESULTS: Agreement in nephrometry score was substantial among the 3 staff physicians (0.72, 95% CI 0.64-0.80). Nephrometry score agreement continued to be substantial when including the trainees and medical student in the analysis (0.75, 95% CI 0.69-0.81). The median nephrometry score of patients treated with radical nephrectomy was 9.0 vs 7.2 for those treated with a nephron sparing approach (p <0.001). Increasing nephrometry score was associated with increased risk of distant metastasis (HR 3.27, p <0.001), death from renal cell carcinoma (HR 2.83, p <0.001) and death from any cause (HR 1.24, p = 0.017).
CONCLUSIONS: Nephrometry scoring with minimal initial instruction was robust across specialties and levels of training. The additional anatomical information that nephrometry score adds to size alone may be associated with other important clinical outcomes such as tumor aggressiveness and survival, and warrants further study.
Copyright © 2011 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21849200     DOI: 10.1016/j.juro.2011.05.052

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  15 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

Review 2.  The role of minimally invasive surgery in multifocal renal cell carcinoma.

Authors:  Serge Ginzburg; Robert G Uzzo; Alexander Kutikov
Journal:  Curr Urol Rep       Date:  2012-06       Impact factor: 3.092

3.  Impact of tumor histology and grade on treatment success of percutaneous renal cryoablation.

Authors:  Alp Tuna Beksac; Gerant Rivera-Sanfeliz; Catherine A Dufour; Unwanaobong Nseyo; Zachary Hamilton; Sean W Berquist; Abd-elRahman Hassan; Omer A Raheem; Song Wang; Robert W Wake; Robert E Gold; Ithaar H Derweesh
Journal:  World J Urol       Date:  2016-08-02       Impact factor: 4.226

Review 4.  Renal Cell Carcinoma Ablation: Preprocedural, Intraprocedural, and Postprocedural Imaging.

Authors:  Winston B Joe; Jessica G Zarzour; Andrew J Gunn
Journal:  Radiol Imaging Cancer       Date:  2019-11-29

5.  Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes.

Authors:  N Heller; R Tejpaul; F Isensee; T Benidir; M Hofmann; P Blake; Z Rengal; K Moore; N Sathianathen; A Kalapara; J Rosenberg; S Peterson; E Walczak; A Kutikov; R G Uzzo; D A Palacios; E M Remer; S C Campbell; N Papanikolopoulos; Christopher J Weight
Journal:  J Urol       Date:  2021-12-30       Impact factor: 7.600

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.  Extreme obesity does not predict poor cancer outcomes after surgery for renal cell cancer.

Authors:  Michael L Blute; Kristin Zorn; Matthew Grimes; Fangfang Shi; Tracy M Downs; David F Jarrard; Sara L Best; Kyle Richards; Stephen Y Nakada; E Jason Abel
Journal:  BJU Int       Date:  2015-12-22       Impact factor: 5.588

8.  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

9.  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.  Three-dimensional reconstructive kidney volume analyses according to the endophytic degree of tumors during open partial or radical nephrectomy.

Authors:  Dong Soo Park; Young Kwon Hong; Seung Ryeol Lee; Jin Ho Hwang; Moon Hyung Kang; Jong Jin Oh
Journal:  Int Braz J Urol       Date:  2016 Jan-Feb       Impact factor: 1.541

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