Quantification of hepatic steatosis with MRI: The effects of accurate fat spectral modeling
Article first published online: 26 MAY 2009
Copyright © 2009 Wiley-Liss, Inc.
Journal of Magnetic Resonance Imaging
Volume 29, Issue 6, pages 1332–1339, June 2009
How to Cite
Reeder, S. B., Robson, P. M., Yu, H., Shimakawa, A., Hines, C. D., McKenzie, C. A. and Brittain, J. H. (2009), Quantification of hepatic steatosis with MRI: The effects of accurate fat spectral modeling. J. Magn. Reson. Imaging, 29: 1332–1339. doi: 10.1002/jmri.21751
- Issue published online: 26 MAY 2009
- Article first published online: 26 MAY 2009
- Manuscript Accepted: 5 FEB 2009
- Manuscript Received: 1 AUG 2008
- University of Wisconsin (UW) Institute for Clinical and Translational Research (ICTR) (through an National Institutes of Health [NIH] Clinical and Translational Science Award). Grant Number: 1UL1RR025011
- Radiological Society of North America (RSNA%rpar; Scholar Award
- nonalcoholic fatty liver disease;
- hepatic steatosis;
- magnetic resonance imaging;
- MR spectroscopy;
- fat-water imaging;
- Dixon imaging
To develop a chemical-shift–based imaging method for fat quantification that accounts for the complex spectrum of fat, and to compare this method with MR spectroscopy (MRS). Quantitative noninvasive biomarkers of hepatic steatosis are urgently needed for the diagnosis and management of nonalcoholic fatty liver disease (NAFLD).
Materials and Methods
Hepatic steatosis was measured with “fat-fraction” images in 31 patients using a multiecho chemical-shift–based water-fat separation method at 1.5T. Fat-fraction images were reconstructed using a conventional signal model that considers fat as a single peak at –210 Hz relative to water (“single peak” reconstruction). Fat-fraction images were also reconstructed from the same source images using two methods that account for the complex spectrum of fat; precalibrated and self-calibrated “multipeak” reconstruction. Single-voxel MRS that was coregistered with imaging was performed for comparison.
Imaging and MRS demonstrated excellent correlation with single peak reconstruction (r2 = 0.91), precalibrated multipeak reconstruction (r2 = 0.94), and self-calibrated multipeak reconstruction (r2 = 0.91). However, precalibrated multipeak reconstruction demonstrated the best agreement with MRS, with a slope statistically equivalent to 1 (0.96 ± 0.04; P = 0.4), compared to self-calibrated multipeak reconstruction (0.83 ± 0.05, P = 0.001) and single-peak reconstruction (0.67 ± 0.04, P < 0.001).
Accurate spectral modeling is necessary for accurate quantification of hepatic steatosis with MRI. J. Magn. Reson. Imaging 2009;29:1332–1339. © 2009 Wiley-Liss, Inc.