Literature DB >> 30284347

Effect of microscopic susceptibility gradients on chemical-shift-based fat fraction quantification in supraclavicular fat.

Drew McCallister1,2, Le Zhang3,2, Alex Burant1,2, Laurence Katz4, Rosa Tamara Branca1,2.   

Abstract

BACKGROUND: Susceptibility differences between fat and water can cause changes in the water-fat frequency separation that can negatively affect the accuracy of fat fraction techniques. This may be especially relevant for brown adipose tissue, as MRI fat fraction techniques have been proposed for its detection.
PURPOSE: To assess the effect of microscopic magnetic susceptibility gradients on the water-fat frequency separation and its impact on chemical-shift-based fat fraction quantification techniques in the supraclavicular fat, where brown adipose tissue is commonly found in humans. STUDY TYPE: Prospective. POPULATION/SUBJECTS/PHANTOM/SPECIMEN/ANIMAL MODEL: Subjects: 11 healthy volunteers, mean age of 26 and mean BMI of 23, three overweight volunteers, mean age of 38 and mean BMI of 33. Phantoms: bovine phantom and intralipid fat emulsion. Simulations: various water-fat distributions. FIELD STRENGTH/SEQUENCE: Six-echo gradient echo chemical-shift-encoded sequence at 3T. ASSESSMENT: Fat fraction values as obtained from a water-fat spectral model accounting for susceptibility-induced water-fat frequency variations were directly compared to traditional spectral models that assume constant water-fat frequency separation. STATISTICAL TESTS: Two-tail t-tests were used for significance testing (p < 0.05.) A Bayesian Information Criterion difference of 6 between fits was taken as strong evidence of an improved model.
RESULTS: Phantom experiments and simulation results showed variations of the water-fat frequency separation up to 0.4 ppm and 0.6 ppm, respectively. In the supraclavicular area, the water-fat frequency separation produced by magnetic susceptibility gradients varied by as much as ±0.4 ppm, with a mean of 0.08 ± 0.14 ppm, producing a mean difference in fat fraction of -1.26 ± 5.26%. DATA
CONCLUSION: In the supraclavicular fat depot, microscopic susceptibility gradients that exist within a voxel between water and fat compartments can produce variations in the water-fat frequency separation. These variations may produce fat fraction quantification errors of 5% when a spectral model with a fixed water-fat frequency separation is applied, which could impact MR brown fat techniques. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;49:141-151.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  brown adipose tissue; chemical shift encoding; fat fraction; imaging; magnetic susceptibility

Year:  2018        PMID: 30284347      PMCID: PMC6298794          DOI: 10.1002/jmri.26219

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  28 in total

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2.  Noninvasive MRI thermometry with the proton resonance frequency (PRF) method: in vivo results in human muscle.

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3.  Brown fat in humans: consensus points and experimental guidelines.

Authors:  Aaron M Cypess; Carol R Haft; Maren R Laughlin; Houchun H Hu
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4.  Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling.

Authors:  Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Ethan Brodsky; Jean H Brittain; Scott B Reeder
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Review 5.  Imaging-based quantification of hepatic fat: methods and clinical applications.

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6.  Quantification of hepatic steatosis with MRI: the effects of accurate fat spectral modeling.

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7.  Development of obesity in transgenic mice after genetic ablation of brown adipose tissue.

Authors:  B B Lowell; V S-Susulic; A Hamann; J A Lawitts; J Himms-Hagen; B B Boyer; L P Kozak; J S Flier
Journal:  Nature       Date:  1993 Dec 23-30       Impact factor: 49.962

8.  Imaging cold-activated brown adipose tissue using dynamic T2*-weighted magnetic resonance imaging and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography.

Authors:  Bart D van Rooijen; Anouk A J J van der Lans; Boudewijn Brans; Joachim E Wildberger; Felix M Mottaghy; Patrick Schrauwen; Walter H Backes; Wouter D van Marken Lichtenbelt
Journal:  Invest Radiol       Date:  2013-10       Impact factor: 6.016

9.  Reversal of type 1 diabetes in mice by brown adipose tissue transplant.

Authors:  Subhadra C Gunawardana; David W Piston
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10.  Magnetic resonance imaging cooling-reheating protocol indicates decreased fat fraction via lipid consumption in suspected brown adipose tissue.

Authors:  Elin Lundström; Robin Strand; Lars Johansson; Peter Bergsten; Håkan Ahlström; Joel Kullberg
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

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1.  Brown Adipose Tissue: Multimodality Evaluation by PET, MRI, Infrared Thermography, and Whole-Body Calorimetry (TACTICAL-II).

Authors:  Lijuan Sun; Sanjay Verma; Navin Michael; Siew Pang Chan; Jianhua Yan; Suresh Anand Sadananthan; Stefan G Camps; Hui Jen Goh; Priya Govindharajulu; John Totman; David Townsend; Julian Pak-Nam Goh; Lei Sun; Bernhard Otto Boehm; Su Chi Lim; Siew Kwan Sze; Christiani Jeyakumar Henry; Houchun Harry Hu; S Sendhil Velan; Melvin Khee-Shing Leow
Journal:  Obesity (Silver Spring)       Date:  2019-07-13       Impact factor: 5.002

Review 2.  Magnetic Resonance Imaging Techniques for Brown Adipose Tissue Detection.

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Journal:  Front Endocrinol (Lausanne)       Date:  2020-08-07       Impact factor: 5.555

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