Publication

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

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Last modified
  • 05/15/2025
Type of Material
Authors
    Mustafa R. Bashir, Duke UniversityTanya Wolfson, University of California San DiegoAnthony C. Gamst, University of California San DiegoKathryn J. Fowler, Washington UniversityMichael Ohliger, University of California San FranciscoShetal N. Shah, Cleveland ClinicAdina Alazraki, Emory UniversityAndrew T. Trout, Cincinnati Childrens Hospital Medical CenterCynthia Behling, University of California San DiegoDaniela S. Allende, Cleveland ClinicRohit Loomba, University of California San DiegoArun Sanyal, Virginia Commonwealth UniversityJeffrey Schwimmer, University of California San DiegoJoel E. Lavine, Columbia College of Physicians and SurgeonsWei Shen, Columbia UniversityJames Tonascia, Johns Hopkins UniversityMark L. Van Natta, Johns Hopkins UniversityAdrija Mamidipalli, University of California San DiegoJonathan Hooker, University of California San DiegoKris V. Kowdley, Swedish Medical CenterMichael S. Middleton, University of California San DiegoClaude B. Sirlin, University of California San Diego
Language
  • English
Date
  • 2019-05-01
Publisher
  • Wiley
Publication Version
Copyright Statement
  • © 2018 International Society for Magnetic Resonance in Medicine
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 49
Issue
  • 5
Start Page
  • 1456
End Page
  • 1466
Grant/Funding Information
  • The Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) is supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (grants U01DK061718, U01DK061728, U01DK061731, U01DK061732, U01DK061734, U01DK061737, U01DK061738, U01DK061730, U01DK061713).
  • Additional support is received from the National Center for Advancing Translational Sciences (NCATS) (grants UL1TR000439, UL1TR000077, UL1TR000436, UL1TR000150, UL1TR000424, UL1TR000006, UL1TR000448, UL1TR000040, UL1TR000100, UL1TR000004, UL1TR000423, UL1TR000058, UL1TR000454).
Supplemental Material (URL)
Abstract
  • Background: The 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. Results: Hepatic 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 Conclusion: Hepatic 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.
Author Notes
  • Correspondence: Mustafa R. Bashir, MD, Department of Radiology, Duke University Medical Center, DUMC 3808, Durham, NC 27710, Phone: (919) 684-7366, Fax: (919) 684-7168, mustafa.bashir@duke.edu
Keywords
Research Categories
  • Biology, Biostatistics
  • Health Sciences, Pathology
  • Health Sciences, Radiology

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