Literature DB >> 32128921

The relationship between liver triglyceride composition and proton density fat fraction as assessed by 1 H MRS.

Gavin Hamilton1, Alex N Schlein1, Tanya Wolfson2, Guilherme M Cunha1, Kathryn J Fowler1, Michael S Middleton1, Rohit Loomba3,4, Claude B Sirlin1.   

Abstract

The aim of this study was to estimate parameters determining liver triglyceride composition (TC) using 1 H MRS and to assess how TC estimability is affected by proton density fat fraction (PDFF) in adults with nonalcoholic fatty liver disease (NAFLD). In this prospective single-site study, 199 adults with known or suspected NAFLD in whom other causes of liver disease were excluded underwent two 1 H MRS STimulated Echo Acquisition Method (STEAM) sequences at 3 T. A respiratory-gated water-suppressed free breathing sequence (TE 10 ms, 16 signal averages) was used to assess TC in terms of the number of double bonds (ndb) and methylene-interrupted double bonds (nmidb), and a single breath-hold-long TR, multi-TE sequence (TR 3500 ms), which acquired five single average spectra over TE 10-30 ms, was used to estimate liver PDFF. Ndb and nmidb estimability was qualitatively assessed for each case and summarized descriptively. The consistency of ndb and nmidb estimation was examined using ROC analysis. The relationship between ndb and nmidb values and PDFF was presented graphically. Quality-of-fit of ndb and nmidb versus PDFF was evaluated by Pearson-r correlation. A significance level of 0.05 was used. In 263 1 H MRS examinations performed on 199 adult participants, ndb and nmidb were successfully estimated in 7/53 (13.2%) examinations with PDFF < 4%, 13/30 (43.3%) examinations with PDFF between 4% and 7%, 33/41 (80.5%) examinations with PDFF between 7% and 10%, and 124/139 (89.2%) examinations with PDFF > 10% (maximum PDFF 38.1%). Liver TC could be estimated consistently for PDFF > 6.7%. Both ndb and nmidb decreased with increasing PDFF (ndb = 2.83-0.0160·PDFF, r = -0.449, P < 0.0001); nmidb = 0.75-0.0088·PDFF, r = -0.350, P < 0.0001). In a cohort of adults with known or suspected NAFLD, liver TC becomes more saturated as PDFF increases.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  fatty acids; hepatic triglyceride saturation; magnetic resonance spectroscopy; nonalcoholic fatty liver disease; nonalcoholic steatohepatitis; proton density fat fraction; triglyceride composition

Year:  2020        PMID: 32128921      PMCID: PMC7211117          DOI: 10.1002/nbm.4286

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  38 in total

1.  Relaxation effects in the quantification of fat using gradient echo imaging.

Authors:  Mark Bydder; Takeshi Yokoo; Gavin Hamilton; Michael S Middleton; Alyssa D Chavez; Jeffrey B Schwimmer; Joel E Lavine; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-02-21       Impact factor: 2.546

2.  Optimal phased-array combination for spectroscopy.

Authors:  Mark Bydder; Gavin Hamilton; Takeshi Yokoo; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-05-16       Impact factor: 2.546

Review 3.  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

4.  Mapping the double bonds in triglycerides.

Authors:  Mark Bydder; Olivier Girard; Gavin Hamilton
Journal:  Magn Reson Imaging       Date:  2011-08-24       Impact factor: 2.546

5.  Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom.

Authors:  Diego Hernando; Samir D Sharma; Mounes Aliyari Ghasabeh; Bret D Alvis; Sandeep S Arora; Gavin Hamilton; Li Pan; Jean M Shaffer; Keitaro Sofue; Nikolaus M Szeverenyi; E Brian Welch; Qing Yuan; Mustafa R Bashir; Ihab R Kamel; Mark J Rice; Claude B Sirlin; Takeshi Yokoo; Scott B Reeder
Journal:  Magn Reson Med       Date:  2016-04-15       Impact factor: 4.668

6.  Correlation between liver histology and novel magnetic resonance imaging in adult patients with non-alcoholic fatty liver disease - MRI accurately quantifies hepatic steatosis in NAFLD.

Authors:  Z Permutt; T-A Le; M R Peterson; E Seki; D A Brenner; C Sirlin; R Loomba
Journal:  Aliment Pharmacol Ther       Date:  2012-05-03       Impact factor: 8.171

7.  In vivo breath-hold (1) H MRS simultaneous estimation of liver proton density fat fraction, and T1 and T2 of water and fat, with a multi-TR, multi-TE sequence.

Authors:  Gavin Hamilton; Michael S Middleton; Jonathan C Hooker; William M Haufe; Nketi I Forbang; Matthew A Allison; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2015-06-25       Impact factor: 4.813

8.  In vivo triglyceride composition of abdominal adipose tissue measured by 1 H MRS at 3T.

Authors:  Gavin Hamilton; Alexandra N Schlein; Michael S Middleton; Catherine A Hooker; Tanya Wolfson; Anthony C Gamst; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2016-08-29       Impact factor: 4.813

9.  Non-invasive assessment of hepatic lipid subspecies matched with non-alcoholic fatty liver disease phenotype.

Authors:  Melissa L Erickson; Jacob M Haus; Steven K Malin; Chris A Flask; Arthur J McCullough; John P Kirwan
Journal:  Nutr Metab Cardiovasc Dis       Date:  2019-06-21       Impact factor: 4.222

10.  Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis.

Authors:  Yali Qu; Mou Li; Gavin Hamilton; Yingzhen N Zhang; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

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  3 in total

1.  Current considerations for clinical management and care of non-alcoholic fatty liver disease: Insights from the 1st International Workshop of the Canadian NASH Network (CanNASH).

Authors:  Giada Sebastiani; Keyur Patel; Vlad Ratziu; Jordan J Feld; Brent A Neuschwander-Tetri; Massimo Pinzani; Salvatore Petta; Annalisa Berzigotti; Peter Metrakos; Naglaa Shoukry; Elizabeth M Brunt; An Tang; Jeremy F Cobbold; Jean-Marie Ekoe; Karen Seto; Peter Ghali; Stéphanie Chevalier; Quentin M Anstee; Heather Watson; Harpreet Bajaj; James Stone; Mark G Swain; Alnoor Ramji
Journal:  Can Liver J       Date:  2022-02-04

2.  Point-of-care magnetic resonance technology to measure liver fat: Phantom and first-in-human pilot study.

Authors:  Mark Barahman; Eduardo Grunvald; Pablo J Prado; Alejandro Bussandri; Walter C Henderson; Tanya Wolfson; Kathryn J Fowler; Claude B Sirlin
Journal:  Magn Reson Med       Date:  2022-05-25       Impact factor: 3.737

Review 3.  Magnetic Resonance Spectroscopy of Hepatic Fat from Fundamental to Clinical Applications.

Authors:  Duanghathai Pasanta; Khin Thandar Htun; Jie Pan; Montree Tungjai; Siriprapa Kaewjaeng; Hongjoo Kim; Jakrapong Kaewkhao; Suchart Kothan
Journal:  Diagnostics (Basel)       Date:  2021-05-07
  3 in total

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