Evidence map›Paper›PMID 33381677›Full record

ArticleCurrent developments in nutrition2020

Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content.

Maggie S Burhans, Niranjan Balu, Kelsey A Schmidt, Gail Cromer, Kristina M Utzschneider, Ellen A Schur, Sarah E Holte, Timothy W Randolph, Mario Kratz

Abstract read
In one paragraph

Article in Current developments in nutrition, 2020. 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
–field-weighted citation impact
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.

  1. Trial
  2. Trial
  3. Article
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

9 authors.

Maggie S BurhansDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Niranjan BaluDepartment of Radiology, University of Washington, Seattle, WA, USA.
Kelsey A SchmidtDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Gail CromerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kristina M UtzschneiderVA Puget Sound Health Care System, Seattle, Washington, WA, USA.
Ellen A SchurDepartment of Medicine, University of Washington, Seattle, WA, USA.
Sarah E HolteDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Timothy W RandolphDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0001-8465-1588
Mario KratzDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0003-2660-8033

Funding

PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 1986 to 2026
$30.4M
Diabetes, Obesity and Metabolism Training ProgramT32DK007247 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON, KRISTINA Marie UTZSCHNEIDER · 1986 to 2026
$10.0M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
NHLBI NIH HHS T32 HL007028NIDDK NIH HHS P30 DK035816NIDDK NIH HHS T32 DK007247
6 · The paper itself

Abstract

MRI is a popular noninvasive method for the assessment of liver fat content. After MRI scan acquisition, there is currently no standardized image analysis procedure for the most accurate estimate of liver fat content. We determined intraindividual reliability of MRI-based liver fat measurement using 10 different MRI slice analysis methods in normal-weight, overweight, and obese individuals who underwent 2 same-day abdominal MRI scans. We also compared the agreement in liver fat content between analytical methods and assessed the variability in fat content across the entire liver. Our results indicate that liver fat content varies across the liver, with some slices averaging 54% lower and others 75% higher fat content than the mean of all slices (gold standard). Our data suggest that the entire liver should be contoured on at least every 10th slice to achieve close agreement with the gold standard.

Indexed as

fatty liverliver fat contentmagnetic resonance imagingNAFLDproton density fat fraction

Identifiers

PMID33381677
PMCPMC7751946

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.