Literature DB >> 30547206

Hepatic steatosis and reduction in steatosis following bariatric weight loss surgery differs between segments and lobes.

Soudabeh Fazeli Dehkordy1, Kathryn J Fowler2, Adrija Mamidipalli3, Tanya Wolfson4, Cheng William Hong3, Yesenia Covarrubias3, Jonathan C Hooker3, Ethan Z Sy3, Alexandra N Schlein3, Jennifer Y Cui3, Anthony C Gamst4, Gavin Hamilton3, Scott B Reeder5, Claude B Sirlin3.   

Abstract

OBJECTIVES: The purpose of this study was to (1) evaluate proton density fat fraction (PDFF) distribution across liver segments at baseline and (2) compare longitudinal segmental PDFF changes across time points in adult patients undergoing a very low-calorie diet (VLCD) and subsequent bariatric weight loss surgery (WLS).
METHODS: We performed a secondary analysis of data from 118 morbidly obese adult patients enrolled in a VLCD-WLS program. PDFF was estimated using magnitude-based confounder-corrected chemical-shift-encoded (CSE) MRI in each hepatic segment and lobe at baseline (visit 1), after completion of VLCD (visit 2), and at 1, 3, and 6 months (visits 3-5) following WLS. Linear regressions were used to estimate the rate of PDFF change across visits. Lobar and segmental rates of change were compared pairwise.
RESULTS: Baseline PDFF was significantly higher in the right lobe compared to the left lobe (p < 0.0001). Lobar and segmental PDFF declined by 3.9-4.5% per month between visits 1 and 2 (preoperative period) and by 4.3-4.8% per month between visits 1 and 3 (perioperative period), but no significant pairwise differences were found in slope between segments and lobes. For visits 3-5 (postoperative period), lobar and segmental PDFF reduction was much less overall (0.4-0.8% PDFF per month) and several pairwise differences were significant; in each case, a right-lobe segment had greater decline than a left-lobe segment.
CONCLUSIONS: Baseline and longitudinal changes in fractional fat content in the 5-month postoperative period following WLS vary across segments, with right-lobe segments having higher PDFF at baseline and more rapid reduction in liver fat content. KEY POINTS: • Baseline and longitudinal changes in liver fat following bariatric weight loss surgery vary across liver segments. • Methods that do not provide whole liver fat assessment, such as liver biopsy, may be unreliable in monitoring longitudinal changes in liver fat following weight loss interventions.

Entities:  

Keywords:  Bariatric surgery; Fatty liver; Magnetic resonance imaging

Mesh:

Year:  2018        PMID: 30547206      PMCID: PMC6483076          DOI: 10.1007/s00330-018-5894-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  18 in total

1.  In vivo characterization of the liver fat ¹H MR spectrum.

Authors:  Gavin Hamilton; Takeshi Yokoo; Mark Bydder; Irene Cruite; Michael E Schroeder; Claude B Sirlin; Michael S Middleton
Journal:  NMR Biomed       Date:  2010-12-12       Impact factor: 4.044

2.  Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration.

Authors:  Scott B Reeder; Houchun H Hu; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2012-07-06       Impact factor: 4.813

3.  Changes in the prevalence of the most common causes of chronic liver diseases in the United States from 1988 to 2008.

Authors:  Zobair M Younossi; Maria Stepanova; Mariam Afendy; Yun Fang; Youssef Younossi; Hesham Mir; Manirath Srishord
Journal:  Clin Gastroenterol Hepatol       Date:  2011-03-25       Impact factor: 11.382

4.  Spatial distribution of MRI-Determined hepatic proton density fat fraction in adults with nonalcoholic fatty liver disease.

Authors:  Susanne Bonekamp; An Tang; Arian Mashhood; Tanya Wolfson; Christopher Changchien; Michael S Middleton; Lisa Clark; Anthony Gamst; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2014-06       Impact factor: 4.813

Review 5.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

6.  Nonalcoholic Steatohepatitis and Endpoints in Clinical Trials.

Authors:  William N Hannah; Dawn M Torres; Stephen A Harrison
Journal:  Gastroenterol Hepatol (N Y)       Date:  2016-12

7.  Prevalence and associated metabolic factors of nonalcoholic fatty liver disease in the general population from 2009 to 2010 in Japan: a multicenter large retrospective study.

Authors:  Yuichiro Eguchi; Hideyuki Hyogo; Masafumi Ono; Toshihiko Mizuta; Naofumi Ono; Kazuma Fujimoto; Kazuaki Chayama; Toshiji Saibara
Journal:  J Gastroenterol       Date:  2012-02-11       Impact factor: 7.527

Review 8.  The epidemiology of nonalcoholic fatty liver disease: a global perspective.

Authors:  Mariana Lazo; Jeanne M Clark
Journal:  Semin Liver Dis       Date:  2008-10-27       Impact factor: 6.115

9.  Nonalcoholic fatty liver disease: Improvement in liver histological analysis with weight loss.

Authors:  John B Dixon; Prithi S Bhathal; Norman R Hughes; Paul E O'Brien
Journal:  Hepatology       Date:  2004-06       Impact factor: 17.425

10.  Effect of colesevelam on liver fat quantified by magnetic resonance in nonalcoholic steatohepatitis: a randomized controlled trial.

Authors:  Thuy-Anh Le; Joshua Chen; Christopher Changchien; Michael R Peterson; Yuko Kono; Heather Patton; Benjamin L Cohen; David Brenner; Claude Sirlin; Rohit Loomba
Journal:  Hepatology       Date:  2012-07-02       Impact factor: 17.425

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  7 in total

1.  Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C).

Authors:  Adrija Mamidipalli; Kathryn J Fowler; Gavin Hamilton; Tanya Wolfson; Yesenia Covarrubias; Calvin Tran; Soudabeh Fazeli; Curtis N Wiens; Alan McMillan; Nathan S Artz; Luke M Funk; Guilherme M Campos; Jacob A Greenberg; Anthony Gamst; Michael S Middleton; Jeffrey B Schwimmer; Scott B Reeder; Claude B Sirlin
Journal:  Eur Radiol       Date:  2020-04-21       Impact factor: 5.315

2.  Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver.

Authors:  Arsenii V Telichko; Rehman Ali; Thurston Brevett; Huaijun Wang; Jose G Vilches-Moure; Sukumar U Kumar; Ramasamy Paulmurugan; Jeremy J Dahl
Journal:  Phys Med Biol       Date:  2022-01-17       Impact factor: 3.609

Review 3.  Rectal MRI radiomics inter- and intra-reader reliability: should we worry about that?

Authors:  Henry C Kwok; Charlotte Charbel; Jayasree Chakraborty; Natally Horvat; Sofia Danilova; Joao Miranda; Natalie Gangai; Iva Petkovska
Journal:  Abdom Radiol (NY)       Date:  2022-04-02

4.  Longitudinal changes on liver proton density fat fraction differ between liver segments.

Authors:  Jan Syväri; Daniela Junker; Lisa Patzelt; Katharina Kappo; Loubna Al Sadat; Sonia Erfanian; Marcus R Makowski; Hans Hauner; Dimitrios C Karampinos
Journal:  Quant Imaging Med Surg       Date:  2021-05

5.  CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF.

Authors:  Kyle Hasenstab; Guilherme Moura Cunha; Shintaro Ichikawa; Soudabeh Fazeli Dehkordy; Min Hee Lee; Soo Jin Kim; Alexandra Schlein; Yesenia Covarrubias; Claude B Sirlin; Kathryn J Fowler
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

6.  Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification.

Authors:  Cheng William Hong; Jennifer Y Cui; Danielle Batakis; Yang Xu; Tanya Wolfson; Anthony C Gamst; Alexandra N Schlein; Lindsey M Negrete; Michael S Middleton; Gavin Hamilton; Rohit Loomba; Jeffrey B Schwimmer; Kathryn J Fowler; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2021-02-20

7.  Acceleration of chemical shift encoding-based water fat MRI for liver proton density fat fraction and T2* mapping using compressed sensing.

Authors:  Fabian K Lohöfer; Georgios A Kaissis; Christina Müller-Leisse; Daniela Franz; Christoph Katemann; Andreas Hock; Johannes M Peeters; Ernst J Rummeny; Dimitrios Karampinos; Rickmer F Braren
Journal:  PLoS One       Date:  2019-11-15       Impact factor: 3.240

  7 in total

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