Literature DB >> 30343303

Adherent Perinephric Fat in Asian Patients: Predictors and Impact on Perioperative Outcomes of Partial Nephrectomy.

Naoko Kawamura1,2, Kazutaka Saito3, Masaharu Inoue4, Masaya Ito5, Toshiki Kijima3, Soichiro Yoshida3, Minato Yokoyama3, Junichiro Ishioka3, Yoh Matsuoka3, Kazunori Kihara3, Yasuhisa Fujii3.   

Abstract

INTRODUCTION: This study is aimed at evaluating the incidence and predictors of adherent perinephric fat (APF) in Asians during partial nephrectomy (PN), and determining the impact of APF on perioperative outcomes.
MATERIALS AND METHODS: A total of 231 Asian patients with renal tumors underwent PN, and their Mayo adhesive probability (MAP) score was calculated. APF was intraoperatively determined, and the perioperative data were compared according to the presence of APF. The predictors of APF were examined using logistic regression analyses.
RESULTS: APF was observed in 40 (17%) patients. In multivariate analysis, male gender and higher MAP score were the independent predictors of APF. The estimated blood loss was higher in patients with APF, however, the complication rates did not differ between the 2 groups.
CONCLUSIONS: The MAP score can predict APF in an Asian population. The presence of APF was associated with greater blood loss; however it did not increase the postoperative complications in PN.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  Adherent perinephric fat; Asian; Clampless; Partial nephrectomy; Renal cell carcinoma

Mesh:

Year:  2018        PMID: 30343303     DOI: 10.1159/000494068

Source DB:  PubMed          Journal:  Urol Int        ISSN: 0042-1138            Impact factor:   2.089


  10 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.  Application value of dual-energy computed tomography spectrum curve combined with clinical risk factors in predicting adherent perinephric fat.

Authors:  Guan Li; Wei Huang; Qinmei Xu; Jie Dong; Zhiqiang Cao; Di Wang; Mingyu Zou; Guangming Lu
Journal:  Quant Imaging Med Surg       Date:  2019-08

3.  Body Composition Parameters May Be Prognostic Factors in Upper Urinary Tract Urothelial Carcinoma Treated by Radical Nephroureterectomy.

Authors:  Yulong Pan; Zeyu Chen; Lanqing Yang; Xingyuan Wang; Zeng Yi; Liang Zhou; Yongjiang Chen; Lu Yang; Hui Zhuo; Yige Bao; Qiang Wei
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

4.  Positive Surgical Margins After Robot-Assisted Partial Nephrectomy Predict Long-Term Oncologic Outcomes for Clinically Localized Renal Masses.

Authors:  B Malik Wahba; Alexander K Chow; Kefu Du; Kenneth G Sands; Alethea G Paradis; Joel M Vetter; Ramakrishna Venkatesh; Eric H Kim; Sam B Bhayani; R Sherburne Figenshau
Journal:  J Endourol       Date:  2021-01-06       Impact factor: 2.619

5.  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

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.  Clinical Implication of Adherent Perinephric Fat in Robot-Assisted Partial Nephrectomy: Validation With Video Review.

Authors:  Hwanik Kim; Myeongju Kim; Seok-Soo Byun; Sung Kyu Hong; Sangchul Lee
Journal:  Front Surg       Date:  2022-04-08

8.  Mixed reality models based on low-dose computed tomography technology in nephron-sparing surgery are better than models based on normal-dose computed tomography.

Authors:  Guan Li; Zhiqiang Cao; Jinbao Wang; Xin Zhang; Longjiang Zhang; Jie Dong; Guangming Lu
Journal:  Quant Imaging Med Surg       Date:  2021-06

9.  The clinical application value of mixed-reality-assisted surgical navigation for laparoscopic nephrectomy.

Authors:  Guan Li; Jie Dong; Jinbao Wang; Dongbing Cao; Xin Zhang; Zhiqiang Cao; Guangming Lu
Journal:  Cancer Med       Date:  2020-06-15       Impact factor: 4.452

10.  A Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Pheochromocytoma.

Authors:  Zhiqiang Zhang; Yunlin Ye; Jiajie Yu; Shufen Liao; Weibin Pan; Yan Guo; Shuangjian Jiang; Cheng Luo; Fufu Zheng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-06       Impact factor: 5.555

  10 in total

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