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Agreement between region-of-interest- and parametric map-based hepatic proton density fat fraction estimation in adults with chronic liver disease

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Abstract

Purpose

To compare agreement between region-of-interest (ROI)- and parametric map-based methods of hepatic proton density fat fraction (PDFF) estimation in adults with known or suspected hepatic steatosis secondary to chronic liver disease over a range of imaging and analysis conditions.

Materials and methods

In this IRB approved HIPAA compliant prospective single-site study, 31 adults with chronic liver disease undergoing clinical gadoxetic acid-enhanced liver magnetic resonance imaging at 3 T were recruited. Multi-echo gradient-echo imaging at flip angles of 10° and 50° was performed before and after administration of gadoxetic acid. Six echoes were acquired at successive nominally out-of-phase and in-phase echo times. PDFF was estimated with a nonlinear fitting algorithm using the first two, three, four, five, and (all) six echoes. Hence, 20 different imaging and analysis conditions were used (pre/post contrast x low/high flip angle x 2/3/4/5/6 echoes). For each condition, PDFF estimation was done in corresponding liver locations using two methods: a region-of-interest (ROI)-based method in which mean signal intensity values within ROIs were run through the fitting algorithm, and a parametric map-based method in which individual signal intensities were run through the fitting algorithm pixel by pixel. Agreement between ROI- and map-based PDFF estimation was assessed by Bland–Altman and intraclass correlation (ICC) analysis.

Results

Depending on the condition and method, PDFF ranged from −2.52% to 45.57%. Over all conditions, mean differences between ROI- and map-based PDFF estimates ranged from 0.04% to 0.24%, with all ICCs ≥0.999.

Conclusion

Agreement between ROI- and parametric map-based PDFF estimation is excellent over a wide range of imaging and analysis conditions.

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Acknowledgments

Yesenia Covarrubias.

Grant Support

The project described was partially supported by the National Institute of Diabetes and Digestive and Kidney Diseases, Grant No. R01DK088925 and National Institutes of Health, Grant No. TL1TR00098. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

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Authors and Affiliations

  1. Liver Imaging Group, Department of Radiology, University of California at San Diego, 408 Dickinson Street, San Diego, CA, 92103-8226, USA

    Paul M. Manning, Gavin Hamilton, Kang Wang, Chulhyun Park, Jonathan C. Hooker, William M. Haufe, Alex N. Schlein, Michael S. Middleton & Claude B. Sirlin

  2. Computational and Applied Statistics Laboratory (CASL), SDSC, University of California, San Diego, La Jolla, CA, USA

    Tanya Wolfson & Anthony Gamst

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  1. Paul M. Manning
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  2. Gavin Hamilton
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  3. Kang Wang
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  5. Jonathan C. Hooker
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  9. Alex N. Schlein
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  10. Michael S. Middleton
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  11. Claude B. Sirlin
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Corresponding author

Correspondence to Paul M. Manning.

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Funding

This study was partially supported by the National Institutes of Health, Grants R01DK088925, and TL1TR00098.

Conflict of interest

Paul M. Manning, Gavin Hamilton, Kang Wang, Chulhyun Park, Jonathan C. Hooker, Tanya Wolfson, Anthony Gamst, William M. Haufe, Alex N. Schlein, and Michael S. Middleton declare that they have no conflict of interest. Claude B. Sirlin is a consultant to Bayer Healthcare and a member of an advisory board for Bayer Healthcare. He has also received research grants from Siemens and GE.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Manning, P.M., Hamilton, G., Wang, K. et al. Agreement between region-of-interest- and parametric map-based hepatic proton density fat fraction estimation in adults with chronic liver disease. Abdom Radiol 42, 833–841 (2017). https://doi.org/10.1007/s00261-016-0925-2

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  • DOI: https://doi.org/10.1007/s00261-016-0925-2

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