Literature DB >> 32048152

Alterations in the Liver Fat Fraction Features Examined by Magnetic Resonance Imaging Following Bariatric Surgery: a Self-Controlled Observational Study.

Mengyi Li1, Di Cao2, Yang Liu1, Lan Jin1, Na Zeng3, Lixue Wang1, Kaixin Zhao1, Han Lv2, Meng Zhang1, Peng Zhang1, Zhenghan Yang4, Zhongtao Zhang5.   

Abstract

BACKGROUND: Obesity is a worldwide epidemic leading to non-alcoholic fatty liver disease. Alterations in the liver fat fraction (LFF) assessed by MRI following bariatric surgery is a promising feature; however, few studies have been fully elucidated.
PURPOSE: To determine the alterations in the LFF features following surgery using MRI, to determine the correlation with the clinical non-alcoholic steatohepatitis score (C-NASH score), and to identify the predictive factors for postoperative score changes.
METHODS: Patients (n = 69) underwent MRI to measure the LFF at baseline and 3 months postoperatively. Paired sample t tests were applied to investigate the alterations in the major parameters. Univariate analyses were performed to evaluate the factors predicting C-NASH score changes after surgery.
RESULTS: Compared with the baseline levels, the LFF significantly decreased 3 months postoperatively (P < 0.001). Significant positive correlations were detected between the C-NASH score and LFF levels (P < 0.001). Among the ROC curves for C-NASH score change, the AUC for the ROC curve of LFF was 0.812 (95% CI 0.707, 0.916) and the cut-off value was 6.16%. Weight at baseline was a significant predictive factor for postoperative changes when the C-NASH score was ≥ 3 (P < 0.001). The AUC for the ROC curve of weight was 0.897 (95% CI 0.782, 1.000) and 117 kg was the cut-off value.
CONCLUSIONS: LFF decreased following bariatric surgery, which predicted C-NASH score changes after surgery. For patients with a higher risk of NASH (score ≥ 3) at baseline and lower preoperative body weight, we noted significantly greater effects of surgery on score change value.

Entities:  

Keywords:  Bariatric surgery; C-NASH score; Liver fat fraction; Magnetic resonance imaging

Mesh:

Year:  2020        PMID: 32048152     DOI: 10.1007/s11695-020-04415-5

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   4.129


  36 in total

1.  Derivation and validation of a scoring system for predicting nonalcoholic steatohepatitis in Taiwanese patients with severe obesity.

Authors:  Chi-Ming Tai; Ming-Lung Yu; Hung-Pin Tu; Chih-Kun Huang; Jau-Chung Hwang; Wan-Long Chuang
Journal:  Surg Obes Relat Dis       Date:  2016-12-07       Impact factor: 4.734

2.  Monitoring Fatty Liver Disease with MRI Following Bariatric Surgery: A Prospective, Dual-Center Study.

Authors:  B Dustin Pooler; Curtis N Wiens; Alan McMillan; Nathan S Artz; Alexandra Schlein; Yesenia Covarrubias; Jonathan Hooker; Jeffrey B Schwimmer; Luke M Funk; Guilherme M Campos; Jacob A Greenberg; Garth Jacobsen; Santiago Horgan; Tanya Wolfson; Anthony C Gamst; Claude B Sirlin; Scott B Reeder
Journal:  Radiology       Date:  2018-12-18       Impact factor: 11.105

3.  Effects of Bariatric Surgery on Non-alcoholic Fatty Liver Disease: Magnetic Resonance Imaging Is an Effective, Non-invasive Method to Evaluate Changes in the Liver Fat Fraction.

Authors:  Dennis M Hedderich; Till Hasenberg; Stefan Haneder; Stefan O Schoenberg; Özlem Kücükoglu; Ali Canbay; Mirko Otto
Journal:  Obes Surg       Date:  2017-07       Impact factor: 4.129

4.  Calorie restriction and not glucagon-like peptide-1 explains the acute improvement in glucose control after gastric bypass in Type 2 diabetes.

Authors:  S Steven; K G Hollingsworth; P K Small; S A Woodcock; A Pucci; B Aribasala; A Al-Mrabeh; R L Batterham; R Taylor
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Authors:  L O Simpson
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7.  Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy.

Authors:  Ilkay S Idilman; Hatice Aniktar; Ramazan Idilman; Gokhan Kabacam; Berna Savas; Atilla Elhan; Azim Celik; Kadir Bahar; Musturay Karcaaltincaba
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Review 8.  Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance.

Authors:  Nina F Schwenzer; Fabian Springer; Christina Schraml; Norbert Stefan; Jürgen Machann; Fritz Schick
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9.  In vivo identification and distribution of alpha- and beta-adrenoceptors in rat heart and lung.

Authors:  P J Barnes; J S Karliner
Journal:  Pharmacology       Date:  1982       Impact factor: 2.547

Review 10.  Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes.

Authors:  Zobair M Younossi; Aaron B Koenig; Dinan Abdelatif; Yousef Fazel; Linda Henry; Mark Wymer
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Journal:  Quant Imaging Med Surg       Date:  2021-11

2.  Comparison of reader agreement, correlation with liver biopsy, and time-burden sampling strategies for liver proton density fat fraction measured using magnetic resonance imaging in patients with obesity: a secondary cross-sectional study.

Authors:  Di Cao; Mengyi Li; Yang Liu; He Jin; Dawei Yang; Hui Xu; Han Lv; JIa Liu; Peng Zhang; Zhongtao Zhang; Zhenghan Yang
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3.  Bariatric surgery for non-alcoholic fatty liver disease in individuals with obesity (Base-NAFLD): protocol of a prospective multicenter observational follow-up study.

Authors:  Luyang Wei; Mengyi Li; Na Zeng; Yang Liu; Rixing Bai; Nengwei Zhang; Jinghai Song; Pin Zhang; Qiyuan Yao; Zhenghan Yang; Xinyan Zhao; Yun Zhang; Peng Zhang; Zhongtao Zhang
Journal:  BMC Surg       Date:  2021-06-24       Impact factor: 2.102

4.  Metabolic surgery in China: present and future.

Authors:  Yinfang Tu; Yuqian Bao; Pin Zhang
Journal:  J Mol Cell Biol       Date:  2021-07-07       Impact factor: 6.216

  4 in total

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