Evidence map›Paper›PMID 30284347›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

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

Drew McCallister, Le Zhang, Alex Burant, Laurence Katz, Rosa Tamara Branca

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Drew McCallisterDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Le ZhangDepartment of Applied Physical Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Alex BurantDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Laurence KatzDepartment of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Rosa Tamara BrancaDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USApplied Physical Sciences (United States) · USImaging Center · US

Funding

Sensitive and Specific detection of BAT Tissue and Activity by Magnetic Resonance with Hyperpolarized Xe-129R01DK108231 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRANCA, ROSA TAMARA · 2015 to 2019
$1.6M
NIDDK NIH HHS R01 DK108231
6 · The paper itself

Abstract

backgroundSusceptibility 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.

resultsPhantom 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

conclusionIn 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.

Indexed as

Magnetic Resonance ImagingAdipose Tissue, BrownAdipose Tissue, WhiteAdultAlgorithmsAnimalsBayes TheoremBody Mass IndexCattleFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLipidsMaleLipidsWaterbrown adipose tissuechemical shift encodingfat fractionimagingmagnetic susceptibility

Identifiers

PMID30284347
PMCPMC6298794
OpenAlexW2894678950

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.