Literature DB >> 28341496

Prospective assessment and histological analysis of adherent perinephric fat in partial nephrectomies.

Charles Dariane1, Thomas Le Guilchet1, Sophie Hurel1, François Audenet1, Aurélien Beaugerie1, Cécile Badoual2, Joan Tordjman3, Karine Clément3, Saïk Urien4, Michel Pietak5, Eric Fontaine5, Arnaud Méjean1, Marc-Olivier Timsit6.   

Abstract

OBJECTIVES: The complexity of partial nephrectomy (PN) is partly anticipated by morphometric tumor-based scores that do not consider patient-related issues such as adherent perinephric fat (APF). Also, the objective is to prospectively assess the predictive factors of APF during PN, its effect on complications, and to correlate it to the histological reality.
METHODS: A total of 125 consecutive patients undergoing robotic or open PN were prospectively included. The Mayo adhesive probability score (MAP score) was compared to the peroperative presence of APF defined by a score≥2. Adipose tissue was analyzed histologically for fibrosis and inflammatory infiltrate of CD68+macrophages. Univariate and multivariate logistic regression analyses were performed to evaluate predictive factors of APF, and outcomes were compared using chi-square and Kruskal-Wallis tests.
RESULTS: APF was present in 51 patients (40.8%) and associated with slight longer operating time and increased blood loss. Warm ischemia time, margins, transfusion, and the Clavien-Dindo score were not different. In multivariate analysis, only male sex, age, waist circumference, fat density on computed tomography, and MAP score were significant predictors of APF. A radioclinical score was more predictive of APF than MAP score alone. Histologically, there was no macrophage infiltration but larger adipocytes in APF without significant differences in fibrosis.
CONCLUSIONS: APF can be accurately predicted using radioclinical data as the MAP score, combined with sex, age, and waist circumference. APF is associated with increased operative time and blood loss without postoperative complications. Histological analysis finds larger adipocytes in APF without inflammatory infiltrate, and no difference in fibrosis.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adherent perinephric fat; Fibrosis; Partial nephrectomy; Perirenal fat; Renal cell carcinoma

Mesh:

Year:  2016        PMID: 28341496     DOI: 10.1016/j.urolonc.2016.09.008

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  12 in total

1.  Role of quantitative computed tomography texture analysis in the prediction of adherent perinephric fat.

Authors:  Zine-Eddine Khene; Karim Bensalah; Axel Largent; Shahrokh Shariat; Gregory Verhoest; Benoit Peyronnet; Oscar Acosta; Renaud DeCrevoisier; Romain Mathieu
Journal:  World J Urol       Date:  2018-04-19       Impact factor: 4.226

2.  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

3.  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

4.  Application of low-dose CT to the creation of 3D-printed kidney and perinephric tissue models for laparoscopic nephrectomy.

Authors:  Guan Li; Jie Dong; Zhiqiang Cao; Jinbao Wang; Dongbing Cao; Xin Zhang; Longjiang Zhang; Guangming Lu
Journal:  Cancer Med       Date:  2021-04-02       Impact factor: 4.452

5.  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

6.  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

7.  Multislice Spiral CT Image Analysis and Meta-Analysis of Inspiratory Muscle Training on Respiratory Muscle Function.

Authors:  Lijuan An; Baiyan Li; Dan Ming; Weizhan Wang
Journal:  J Healthc Eng       Date:  2021-06-23       Impact factor: 2.682

8.  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

9.  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

10.  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

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