Literature DB >> 30141346

Impact of the Mayo Adhesive Probability Score on the Complexity of Robot-Assisted Partial Nephrectomy.

Ryo Ishiyama1, Tsunenori Kondo2, Toshio Takagi1, Junpei Iizuka1, Hirohito Kobayashi1, Kenji Omae1, Hironori Fukuda1, Hiroki Ishihara1, Kazunari Tanabe1.   

Abstract

OBJECTIVES: Mayo adhesive probability (MAP) score quantifies adherent perinephric fat (APF) and is associated with the prolongation of surgery duration or the increase of surgical complication rates. PATIENTS AND METHODS: In this study, 311 patients who underwent robot-assisted partial nephrectomy (RAPN) at our institute were included. APF was quantified using the MAP score calculated using perinephric fat thickness and stranding seen on a preoperative enhanced CT scans. The surgery duration was classified into the dissection (robotic manipulation to hilar clamping) and resection (hilar clamping to robotic surgery completion) phases.
RESULTS: The MAP score was found to be 0, 1, 2, 3, 4, and 5 in 98 (32%), 86 (28%), 21 (7%), 48 (15%), 44 (14%), and 14 (4%) patients, respectively. The dissection and resection phase times increased with an increase in the MAP score. The median dissection phase times for MAP scores of 0, 1, 2, 3, 4, and 5 were 71.7, 79.1, 88.9, 97.0, 99.7, and 118.8 minutes, respectively. The MAP score was more strongly associated with the prolongation of the dissection phase than with the prolongation of the resection phase. In multivariate analysis for dissection phase time of more than 90 minutes, the body mass index [odds ratio (OR) = 1.09, p = 0.0209], early surgical experience (first 100 cases) (OR = 2.32, p = 0.0024), and MAP score ≥3 (OR = 6.20, p < 0.0001) significantly associated with the prolongation of dissection phase in a logistic regression model.
CONCLUSIONS: The MAP score is a factor significantly associated with the prolongation of the dissection phase during RAPN.

Entities:  

Keywords:  MAP score; RAPN; operation time; partial nephrectomy; robotic surgery

Mesh:

Year:  2018        PMID: 30141346     DOI: 10.1089/end.2017.0779

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


  6 in total

Review 1.  Adherent perinephric fat affects perioperative outcomes after partial nephrectomy: a systematic review and meta-analysis.

Authors:  Zine-Eddine Khene; Gilles Dosin; Benoit Peyronnet; Anis Gasmi; Nicolas Doumerc; Idir Ouzaid; Benjamin Pradere; Marie Brassier; Mathieu Roumiguié; Romain Mathieu; Nathalie Rioux-Leclercq; Jay D Raman; Shahrokh Shariat; Karim Bensalah
Journal:  Int J Clin Oncol       Date:  2021-01-27       Impact factor: 3.402

2.  Efficacy and feasibility of robot-assisted partial nephrectomy for octogenarians: comparison with younger counterparts.

Authors:  Yudai Ishiyama; Tsunenori Kondo; Kazuhiko Yoshida; Junpei Iizuka; Kazunari Tanabe; Toshio Takagi
Journal:  J Robot Surg       Date:  2022-01-21

3.  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

4.  Development of a simple nomogram to estimate risk for intraoperative complications before partial nephrectomy based on the Mayo Adhesive Probability score combined with the RENAL nephrometry score.

Authors:  Xiaojun Tan; Dachun Jin; Jian Hu; Weili Zhang; Yu Zhou; Yunxiang Li; Yuanfeng Zhang; Ji Wu
Journal:  Investig Clin Urol       Date:  2021-07

5.  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

6.  Open and Laparoscopic Partial Nephrectomy: Comparison and Validation of Preoperative Scoring Systems, Including PADUA, RENAL, ABC Nephrometric Scores and Perinephric Fat Evaluation with Mayo Adhesive Probability Score.

Authors:  Maxime Sempels; Mohamed Ali Ben Chehida; Paul Meunier; David Waltregny
Journal:  Res Rep Urol       Date:  2021-07-19
  6 in total

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