Evidence map›Paper›PMID 30318834›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Hepatic R2* is more strongly associated with proton density fat fraction than histologic liver iron scores in patients with nonalcoholic fatty liver disease.

Mustafa R Bashir, Tanya Wolfson, Anthony C Gamst, Kathryn J Fowler, Michael Ohliger, Shetal N Shah, Adina Alazraki, Andrew T Trout, Cynthia Behling, Daniela S Allende and 13 more

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Impact of particle size onMagnetic resonance in medicine · 2025
    Article
  6. Review
  7. Effect of particle size on liver MRIMagnetic resonance in medicine · 2024
    Article
  8. Article
  9. Article
  10. Clinical Application of Quantitative MR Imaging in Nonalcoholic Fatty Liver Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary Results.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  15. Article
  16. Review
  17. Fat- and iron-corrected ADC to assess liver fibrosis in patients with chronic hepatitis B.Diagnostic and interventional radiology (Ankara, Turkey) · 2022
    Article
  18. Article
  19. MRI-derived proton density fat fraction.Journal of medical ultrasonics (2001) · 2021
    Review
  20. Gender-specific liver aging and magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2021
    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

23 authors.

Mustafa R BashirDepartment of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Tanya WolfsonComputational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California-San Diego, San Diego, California, USA.
Anthony C GamstComputational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California-San Diego, San Diego, California, USA.
Kathryn J FowlerDepartment of Radiology, Washington University, St. Louis, Missouri, USA.
Michael OhligerDepartments of Radiology and Biomedical Engineering, University of California-San Francisco, San Francisco, California, USA.
Shetal N ShahSection of Abdominal Imaging and Nuclear Medicine Department, Imaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Adina AlazrakiDepartments of Radiology and Pediatrics, Emory University School of Medicine/Children's Healthcare of Atlanta, Atlanta, Georgia, USA.
Andrew T TroutDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Cynthia BehlingDepartment of Pathology, University of California-San Diego, La Jolla, California, USA.
Daniela S AllendeDepartment of Pathology, Cleveland Clinic, Cleveland, Ohio, USA.
Rohit LoombaNAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California-San Diego, La Jolla, California, USA.
Arun SanyalDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Jeffrey SchwimmerDepartment of Pediatrics, University of California-San Diego, San Diego, California, USA.
Joel E LavineDepartment of Pediatrics, Columbia College of Physicians and Surgeons, New York, New York, USA.
Wei ShenDivision of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics and the Institute of Human Nutrition, Columbia University Medical Center, New York, New York, USA.
James TonasciaBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Mark L Van NattaBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Adrija MamidipalliLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
Jonathan HookerLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.ORCID 0000-0003-3915-3867
Kris V KowdleyLiver Care Network and Organ Care Research, Swedish Medical Center, Seattle, Washington, USA.
Michael S MiddletonLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.ORCID 0000-0002-4247-1287
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
NASH Clinical Research Network (NASH CRN)Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000006NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR000058NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR000100NCATS NIH HHS UL1 TR000150NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000436NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001425NCATS NIH HHS UL1 TR002319NCATS NIH HHS UL1 TR002345NCATS NIH HHS UL1 TR002378NIDDK NIH HHS U01 DK061713NIDDK NIH HHS U01 DK061718NIDDK NIH HHS U01 DK061728NIDDK NIH HHS U01 DK061730NIDDK NIH HHS U01 DK061731NIDDK NIH HHS U01 DK061732NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK061737NIDDK NIH HHS U01 DK061738NIDDK NIH HHS U24 DK061730
6 · The paper itself

Abstract

backgroundThe liver R2* value is widely used as a measure of liver iron but may be confounded by the presence of hepatic steatosis and other covariates. PURPOSE: To identify the most influential covariates for liver R2* values in patients with nonalcoholic fatty liver disease (NAFLD). STUDY TYPE: Retrospective analysis of prospectively acquired data. POPULATION: Baseline data from 204 subjects enrolled in NAFLD/NASH (nonalcoholic steatohepatitis) treatment trials. FIELD STRENGTH: 1.5T and 3T; chemical-shift encoded multiecho gradient echo. ASSESSMENT: Correlation between liver proton density fat fraction and R2*; assessment for demographic, metabolic, laboratory, MRI-derived, and histological covariates of liver R2*. STATISTICAL TESTS: Pearson's and Spearman's correlations; univariate analysis; gradient boosting machines (GBM) multivariable machine-learning method.

resultsHepatic proton density fat fraction (PDFF) was the most strongly correlated covariate for R2* at both 1.5T (r = 0.652, P < 0.0001) and at 3T (r = 0.586, P < 0.0001). In the GBM analysis, hepatic PDFF was the most influential covariate for hepatic R2*, with relative influences (RIs) of 61.3% at 1.5T and 47.5% at 3T; less influential covariates had RIs of up to 11.5% at 1.5T and 16.7% at 3T. Nonhepatocellular iron was weakly associated with R2* at 3T only (RI 6.7%), and hepatocellular iron was not associated with R2* at either field strength. DATA

conclusionHepatic PDFF is the most influential covariate for R2* at both 1.5T and 3T; nonhepatocellular iron deposition is weakly associated with liver R2* at 3T only. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1456-1466.

Indexed as

Adipose TissueAdolescentAdultAgedChildCross-Sectional StudiesFemaleHumansIronLiverMagnetic Resonance ImagingMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProspective StudiesProtonsIronProtonshepatic steatosisNAFLDNASHnonalcoholic fatty liver diseasenonalcoholic steatohepatitisPDFFproton density fat fractionR2*

Identifiers

PMID30318834
PMCPMC6449180

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.