Literature DB >> 28161321

Mayo Adhesive Probability Score Is an Independent Computed Tomography Scan Predictor of Adherent Perinephric Fat in Open Partial Nephrectomy.

Logan Martin1, Olivier Rouviere2, Riadh Bezza2, Jérôme Bailleux2, Fatima Abbas3, Anne-Marie Schott-Pethelaz3, Alain Ruffion4, Philippe Paparel4.   

Abstract

OBJECTIVE: To evaluate predictive radiological elements for adherent perinephric fat (APF) and the Mayo adhesive probability (MAP) score in the setting of open partial nephrectomy, and to assess their reproducibility. PATIENTS AND METHODS: We performed a retrospective case-control study involving 86 patients who had open partial nephrectomies performed by a single surgeon between January 1, 2009 and April 1, 2015. Radiological elements were assessed by 4 readers blinded to patient APF status. Univariate and multivariate analyses were performed for all radiological and clinical factors. Reproducibility was analyzed using agreement coefficients.
RESULTS: On univariate analysis for radiological findings, lateral and posterior fat thickness (odds ratio [OR]: 1.084 [1.033, 1.138], P < .001), stranding (OR: 2.179 [1.431, 3.318], P < .001), -80 HU fat area, and the MAP score (OR: 1.797 [1.332, 2.424], P < .001) were predictive of APF. On multivariate analysis, only age and the MAP score remained statistically significant (OR: 1.060 [1.005, 1.118], P = .03; and OR: 1.560 [1.137, 2.139], P = .0058, respectively). The reproducibility of the MAP score was fair (AC1 = 0.367 and kappa F = 0.353), as was that of stranding (AC1 = 0.499, kappa F = 0.376). The agreement was important if we defined a "low" (0 to 3) or "high" (4 or 5) score (AC1 = 0.706 and kappa F = 0.681).
CONCLUSION: The MAP score was the element that best predicted APF in our study, although its reproducibility among our readers was only fair. The agreement becomes important if we defined "low or high" score.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28161321     DOI: 10.1016/j.urology.2016.11.043

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  9 in total

1.  Analysis of Factors Influencing Mayo Adhesive Probability Score in Partial Nephrectomy.

Authors:  Chaoyue Ji; Shiying Tang; Kunlin Yang; Gengyan Xiong; Dong Fang; Cuijian Zhang; Xuesong Li; Liqun Zhou
Journal:  Med Sci Monit       Date:  2017-12-20

2.  Validation of the Mayo Adhesive Probability score as a predictor of adherent perinephric fat and outcomes in open partial nephrectomy.

Authors:  Daniela A Haehn; Essa M Bajalia; Katherine J Cockerill; Amanda E Kahn; Colleen T Ball; David D Thiel
Journal:  Transl Androl Urol       Date:  2021-01

3.  Analysis of Clinical Characteristics, Radiological Predictors, Pathological Features, and Perioperative Outcomes Associated with Perinephric Fat Adhesion Degree.

Authors:  Junqiang Liu; Yiheng Jiang; Hongwei Huang; Zheng Zhu; Jing Chen; Dikuan Liu; Lina Wang; Huafeng Zong; Xishuang Song; Xuejian Wang; Xinqing Zhu; Jianbo Wang; Sony Nahayo; Qiwei Chen; Deyong Yang
Journal:  J Oncol       Date:  2021-12-27       Impact factor: 4.375

4.  Study on the correlation between preoperative inflammatory indexes and adhesional perinephric fat before laparoscopic partial nephrectomy.

Authors:  Teng Ma; Lin Cong; Qianli Ma; Zhaoqin Huang; Qianqian Hua; Xiaojiao Li; Ximing Wang; Yunchao Chen
Journal:  BMC Urol       Date:  2021-12-10       Impact factor: 2.264

5.  Comparison of perinephric fat measurements between malignant and benign renal tumours.

Authors:  Jui-Peng Tsai; Dao-Chen Lin; Wei-Ming Huang; Marcelo Chen; Yi-Hsuan Chen
Journal:  J Int Med Res       Date:  2022-09       Impact factor: 1.573

6.  Impact of the Mayo Adhesive Probability Score on Donor and Recipient Outcomes After Living-donor Kidney Transplantation: A Retrospective, Single-center Study of 782 Transplants.

Authors:  Yu Sato; Hiroshi Noguchi; Takanori Mei; Keizo Kaku; Yasuhiro Okabe; Masafumi Nakamura
Journal:  Transplant Direct       Date:  2021-07-16

7.  Significant impact of three-dimensional volumetry of perinephric fat on the console time during robot-assisted partial nephrectomy.

Authors:  Daisuke Motoyama; Yuto Matsushita; Hiromitsu Watanabe; Keita Tamura; Toshiki Ito; Takayuki Sugiyama; Atsushi Otsuka; Hideaki Miyake
Journal:  BMC Urol       Date:  2019-12-12       Impact factor: 2.264

8.  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

9.  Mayo Adhesive Probability (MAP) score of non-donated kidney aids in predicting post-operative renal function following donor nephrectomy.

Authors:  Katherine J Cockerill; Amanda E Kahn; Stacy M Young; Colleen T Ball; Martin L Mai; C Burcin Taner; Dana K Perry; David D Thiel
Journal:  BMC Urol       Date:  2020-08-17       Impact factor: 2.264

  9 in total

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