Literature DB >> 27091569

R.E.N.A.L. Score Outperforms PADUA Score, C-Index and DAP Score for Outcome Prediction of Nephron Sparing Surgery in a Selected Cohort.

Hendrik Borgmann1, Ann-Kathrin Reiss2, Martin Kurosch3, Natalie Filmann4, Sebastian Frees3, Rene Mager3, Igor Tsaur3, Axel Haferkamp3.   

Abstract

PURPOSE: Several nephrometry scores have been proposed to predict perioperative outcomes in renal surgery. We evaluated which nephrometry score correlates best with the MIC (margin, ischemia and complications) score and quantitative perioperative outcomes in nephron sparing surgery.
MATERIALS AND METHODS: Data on 188 patients undergoing nephron sparing surgery were retrospectively investigated for patient, operative and tumor characteristics. Nephrometry scores, including R.E.N.A.L. (radius, exophytic/endophytic properties, nearness of tumor to collecting system or sinus, anterior/posterior, hilar tumor touching the main renal artery or vein and location relative to polar lines), PADUA (preoperative aspects and dimensions used for an anatomical), C-index (concordance index) and DAP (diameter-axial-polar), were measured on preoperative computerized tomography or magnetic resonance imaging and coded continuously and categorically. Parameters pertaining to tumor margin, ischemia and complications were recorded as binary scores and classified as MIC achievement. Operative time, estimated blood loss, warm ischemia time and hospital stay were recorded as quantitative perioperative outcomes.
RESULTS: The R.E.N.A.L. score correlated best with MIC and quantitative perioperative outcomes. The continuously coded R.E.N.A.L. score was predictive of MIC on univariate analysis (OR 0.75, 95% CI 0.58-0.97, p = 0.03) and it had the best predictive value on multivariate logistic regression analysis (OR 0.31, 95% CI 0.18-0.82, p = 0.03). The C-index but not the PADUA or the DAP score was predictive of MIC on univariate and multivariate logistic regression analysis. MIC achievement rates were significantly higher for low than for high complexity tumors as assessed by categorically coded R.E.N.A.L. score, C-index and DAP scores. Continuously coded R.E.N.A.L. and PADUA scores positively correlated with operative time, warm ischemia time and hospital stay. The C-index and the DAP score correlated with warm ischemia time.
CONCLUSIONS: Of 4 nephrometry scores the R.E.N.A.L. score correlated best with MIC achievement and quantitative perioperative outcomes of nephron sparing surgery.
Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  complications; decision support techniques; ischemia; kidney neoplasms; prognosis

Mesh:

Year:  2016        PMID: 27091569     DOI: 10.1016/j.juro.2016.03.176

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


  10 in total

1.  Complex renal masses: partial or no partial nephrectomy?

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2.  Canadian Urological Association guideline: Management of small renal masses - Full-text.

Authors:  Patrick O Richard; Philippe D Violette; Bimal Bhindi; Rodney H Breau; Wassim Kassouf; Luke T Lavallée; Michael Jewett; John R Kachura; Anil Kapoor; Maxine Noel-Lamy; Michael Ordon; Stephen E Pautler; Frédéric Pouliot; Alan I So; Ricardo A Rendon; Simon Tanguay; Christine Collins; Maryam Kandi; Bobby Shayegan; Andrew Weller; Antonio Finelli; Andrea Kokorovic; Jay Nayak
Journal:  Can Urol Assoc J       Date:  2022-02       Impact factor: 1.862

3.  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

4.  Robot-assisted partial nephrectomy is safe and effective for complex renal masses when performed by experienced surgeons.

Authors:  Tristan S Juvet; R Houston Thompson; Aaron M Potretzke
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5.  The application of internal traction technique in retroperitoneal robot-assisted partial nephrectomy for renal ventral tumors.

Authors:  Xiao-Lu Jiang; Kui OuYang; Rui Yang; Xiao-Yang Yu; Dian-Dong Yang; Ji-Tao Wu; Hong-Wei Zhao
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Review 6.  Nephrometry scoring systems: their importance for the planning of nephron-sparing surgery and the relationships among them.

Authors:  Victor Dubeux; José Fernando Cardona Zanier; Carolina Gianella Cobo Chantong; Fabricio Carrerette; Pedro Nicolau Gabrich; Ronaldo Damião
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7.  A "3S+f" Nephrometry Score System to Predict the Clinical Outcomes of Laparoscopic Nephron-Sparing Surgery.

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8.  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

9.  A novel nephrometry scoring system for predicting peri-operative outcomes of retroperitoneal laparoscopic partial nephrectomy.

Authors:  Bin Yang; Lu-Lin Ma; Min Qiu; Hai-Zhui Xia; Wei He; Tian-Yu Meng; Min Lu; Jian Lu
Journal:  Chin Med J (Engl)       Date:  2020-03-05       Impact factor: 2.628

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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