Literature DB >> 24377723

Perinephric fat thickness is an independent predictor of operative complexity during robot-assisted partial nephrectomy.

Liam C Macleod1, Ryan S Hsi, John L Gore, Jonathan L Wright, Jonathan D Harper.   

Abstract

BACKGROUND AND
PURPOSE: Obesity is often categorized by body mass index (BMI), but abdominal wall and visceral fat quantity vary with equivalent BMI. This study compares multiple fat measurements as predictors of operative complexity during robot-assisted partial nephrectomy (RAPN). Because perinephric fat around the kidney impacts the operative field, it is expected to be a superior predictor of complexity. PATIENTS AND METHODS: Consecutive RAPN cases were used for multivariate analysis of the association between fat mass (BMI; measurements of abdominal wall fat in anterior, posterior, posterolateral, and lateral orientation, and perinephric fat in anterior, posterior, medial, and lateral orientation) and complexity metrics: Operative time and estimated blood loss (EBL). Adjustments were made for age, sex, tumor side, nephrometry score, comorbidities, and abdominal surgery.
RESULTS: Among 53 patients undergoing RAPN, perinephric fat measurements were independently associated with increased EBL and operative time. For each 1-mm increase in medial perinephric fat, EBL increased 24 mL (95% confidence interval [CI] 13-34 mL) and operative time increased 3.3 minutes (95% CI 1.0-5.7 min). For each 1-mm increase in posterior perinephric fat, the EBL and operative time increases were 19 mL (95% CI 8.1-30 mL) and 3.3 minutes (95% CI 1.0-5.6 min). Abdominal wall fat was not associated with operative time or EBL.
CONCLUSION: Perinephric fat thickness, particularly medial and posterior fat, is associated with increased EBL and operative time during RAPN, independent of BMI and nephrometry score. These data may be helpful for preoperative risk assessment and counseling and could be incorporated in future complexity scores.

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Year:  2014        PMID: 24377723     DOI: 10.1089/end.2013.0647

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


  14 in total

1.  Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

Authors:  Zine-Eddine Khene; Benoit Peyronnet; Romain Mathieu; Tarek Fardoun; Grégory Verhoest; Karim Bensalah
Journal:  World J Urol       Date:  2015-02-11       Impact factor: 4.226

2.  An increasing proportion of perinephric to subcutaneous fat is associated with adverse perioperative outcomes of robotic partial nephrectomy.

Authors:  Jay D Raman; Christopher Reynolds; Michael Hannon
Journal:  J Robot Surg       Date:  2016-05-09

3.  Robotic partial nephrectomy for renal tumours in obese patients: Perioperative outcomes in a multi-institutional analysis.

Authors:  Newaj Abdullah; Deepansh Dalela; Ravi Barod; Jeff Larson; Michael Johnson; Alon Mass; Homayoun Zargar; Mohamad Allaf; Sam Bhayani; Michael Stifelman; Jihad Kaouk; Craig Rogers
Journal:  Can Urol Assoc J       Date:  2015-12-14       Impact factor: 1.862

4.  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

5.  Establishment of a novel system for the preoperative prediction of adherent perinephric fat (APF) occurrence based on a multi-mode and multi-parameter analysis of dual-energy CT.

Authors:  Guan Li; Jie Dong; Wei Huang; Zhengyu Zhang; Di Wang; Mingyu Zou; Qinmei Xu; Guangming Lu; Zhiqiang Cao
Journal:  Transl Androl Urol       Date:  2019-10

6.  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

7.  Visceral fat is associated with high-grade complications in patients undergoing minimally invasive partial nephrectomy for small renal masses.

Authors:  Kelan Nesbitt; Pranav Sharma
Journal:  Curr Urol       Date:  2021-03-29

8.  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

9.  [Three dimensional nephrometry system for partial nephrectomy: Our initial exploration].

Authors:  X F Li; Y J Peng; X T Yu; S W Xiong; S D Cheng; G P Ding; K L Yang; Q Tang; Y Mi; J Y Wu; P Zhang; J X Xie; H Hao; H Wang; J X Qiu; J Yang; X S Li; L Q Zhou
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2021-06-18

10.  External validation of four nephrometry scores for trans-peritoneal robotic partial nephrectomy.

Authors:  Bhavan Prasad Rai; Amit Patel; Ahmed Abroaf; Narin Suleyman; Shanmugasundaram Gowriemohan; Venkat Prasad; Nikhil Vasdev; Jim Adshead
Journal:  Cent European J Urol       Date:  2017-06-29
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