T1 independent, T2* corrected chemical shift based fat–water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis
✍ Scribed by Catherine D.G. Hines; Alex Frydrychowicz; Gavin Hamilton; Dana L. Tudorascu; Karl K. Vigen; Huanzhou Yu; Charles A. McKenzie; Claude B. Sirlin; Jean H. Brittain; Scott B. Reeder
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 531 KB
- Volume
- 33
- Category
- Article
- ISSN
- 1053-1807
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✦ Synopsis
Abstract
Purpose:
To determine the precision and accuracy of hepatic fat‐fraction measured with a chemical shift‐based MRI fat‐water separation method, using single‐voxel MR spectroscopy (MRS) as a reference standard.
Materials and Methods:
In 42 patients, two repeated measurements were made using a T~1~‐independent, T‐corrected chemical shift‐based fat‐water separation method with multi‐peak spectral modeling of fat, and T~2~‐corrected single voxel MR spectroscopy. Precision was assessed through calculation of Bland‐Altman plots and concordance correlation intervals. Accuracy was assessed through linear regression between MRI and MRS. Sensitivity and specificity of MRI fat‐fractions for diagnosis of steatosis using MRS as a reference standard were also calculated.
Results:
Statistical analysis demonstrated excellent precision of MRI and MRS fat‐fractions, indicated by 95% confidence intervals (units of absolute percent) of [−2.66%,2.64%] for single MRI ROI measurements, [−0.81%,0.80%] for averaged MRI ROI, and [−2.70%,2.87%] for single‐voxel MRS. Linear regression between MRI and MRS indicated that the MRI method is highly accurate. Sensitivity and specificity for detection of steatosis using averaged MRI ROI were 100% and 94%, respectively. The relationship between hepatic fat‐fraction and body mass index was examined.
Conclusion:
Fat‐fraction measured with T~1~‐independent T‐corrected MRI and multi‐peak spectral modeling of fat is a highly precise and accurate method of quantifying hepatic steatosis. J. Magn. Reson. Imaging 2011;33:873–881. © 2011 Wiley‐Liss, Inc.