Evidence map›Paper›PMID 33899143›Full record

ArticleEuropean radiology2021

Magnetic resonance elastography biomarkers for detection of histologic alterations in nonalcoholic fatty liver disease in the absence of fibrosis.

Yali Qu, Michael S Middleton, Rohit Loomba, Kevin J Glaser, Jun Chen, Jonathan C Hooker, Tanya Wolfson, Yesenia Covarrubias, Mark A Valasek, Kathryn J Fowler and 11 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Clinical Significance of Liver MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  9. Early diagnosis of hepatic inflammation in Japanese nonalcoholic fatty liver disease patients using 3D MR elastography.Hepatology research : the official journal of the Japan Society of Hepatology · 2023
    Article
  10. On the relationship between metabolic capacities andFrontiers in bioengineering and biotechnology · 2022
    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

21 authors at 5 institutions in 2 countries.

Yali QuDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Michael S MiddletonLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Rohit LoombaNAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California at San Diego, La Jolla, CA, USA.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Jun ChenDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Jonathan C HookerLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Tanya WolfsonComputational and Applied Statistics Laboratory, the San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA.
Yesenia CovarrubiasLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Mark A ValasekDepartment of Pathology, University of California San Diego, La Jolla, CA, USA.
Kathryn J FowlerLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Yingzhen N ZhangLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Ethan SyLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Anthony C GamstComputational and Applied Statistics Laboratory, the San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA.
Kang WangLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Adrija MamidipalliLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
Jeffrey B SchwimmerDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California at San Diego, La Jolla, CA, USA.
Bin SongDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Scott B ReederDepartments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, WI, USA.
Meng YinDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA. csirlin@health.ucsd.edu.ORCID http://orcid.org/0000-0002-6639-9072
University of California San Diego · USMayo Clinic in Arizona · USSan Diego Supercomputer Center · USSichuan University · CNUniversity of Wisconsin–Madison · US

Funding

The Saint Louis University Component of the NASH CRNU01DK061718 · NIDDK · SAINT LOUIS UNIVERSITY · PI BRENT A NEUSCHWANDER-TETRI · 2002 to 2026
$12.0M
Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
Comprehensive noninvasive assessment of liver histopathology in nonalcoholic fatty liver disease (NAFLD) via magnetic resonance imaging, cytometry and elastography (MR-ICE)R01EB017197 · NIBIB · MAYO CLINIC ROCHESTER · PI YIN, MENG · 2014 to 2025
$4.3M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
GENETIC EPIDEMIOLOGY OF NONALCOHOLIC FATTY LIVER DISEASEK23DK090303 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2011 to 2014
$721k
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R01 EB017197NIBIB NIH HHS R37 EB001981NIDDK NIH HHS K23 DK090303NIDDK NIH HHS K23DK090303, R01DK083380, R01DK088925, R01DK100651, K24DK102595, R01DK106419NIDDK NIH HHS K24 DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK106419NIDDK NIH HHS U01 DK061718NIDDK NIH HHS U01DK061718
6 · The paper itself

Abstract

objectivesTo investigate associations between histology and hepatic mechanical properties measured using multiparametric magnetic resonance elastography (MRE) in adults with known or suspected nonalcoholic fatty liver disease (NAFLD) without histologic fibrosis.

methodsThis was a retrospective analysis of 88 adults who underwent 3T MR exams including hepatic MRE and MR imaging to estimate proton density fat fraction (MRI-PDFF) within 180 days of liver biopsy. Associations between MRE mechanical properties (mean shear stiffness (|G*|) by 2D and 3D MRE, and storage modulus (G'), loss modulus (G″), wave attenuation (α), and damping ratio (ζ) by 3D MRE) and histologic, demographic and anthropometric data were assessed.

resultsIn univariate analyses, patients with lobular inflammation grade ≥ 2 had higher 2D |G*| and 3D G″ than those with grade ≤ 1 (p = 0.04). |G*| (both 2D and 3D), G', and G″ increased with age (rho = 0.25 to 0.31; p ≤ 0.03). In multivariable regression analyses, the association between inflammation grade ≥ 2 remained significant for 2D |G*| (p = 0.01) but not for 3D G″ (p = 0.06); age, sex, or BMI did not affect the MRE-inflammation relationship (p > 0.20).

conclusions2D |G*| and 3D G″ were weakly associated with moderate or severe lobular inflammation in patients with known or suspected NAFLD without fibrosis. With further validation and refinement, these properties might become useful biomarkers of inflammation. Age adjustment may help MRE interpretation, at least in patients with early-stage disease. KEY POINTS: • Moderate to severe lobular inflammation was associated with hepatic elevated shear stiffness and elevated loss modulus (p =0.04) in patients with known or suspected NAFLD without liver fibrosis; this suggests that with further technical refinement these MRE-assessed mechanical properties may permit detection of inflammation before the onset of fibrosis in NAFLD. • Increasing age is associated with higher hepatic shear stiffness, and storage and loss moduli (rho = 0.25 to 0.31; p ≤ 0.03); this suggests that age adjustment may help interpret MRE results, at least in patients with early-stage NAFLD.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseBiomarkersFibrosisHumansLiverLiver CirrhosisMagnetic Resonance ImagingProspective StudiesRetrospective StudiesBiomarkersElasticity imaging techniquesInflammationMagnetic resonance imagingNonalcoholic fatty liver disease

Identifiers

PMID33899143
PMCPMC8530863
OpenAlexW3158563130

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.