4.7 Article

Quantitative Chemical Shift-Encoded MRI Is an Accurate Method to Quantify Hepatic Steatosis

Journal

JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 39, Issue 6, Pages 1494-1501

Publisher

WILEY
DOI: 10.1002/jmri.24289

Keywords

fatty liver; magnetic resonance imaging; chemical shift-encoded imaging; magnetic resonance spectroscopy

Funding

  1. German Federal Ministry of Education and Research [FKZ 03IS2061A]
  2. Ministry of Cultural Affairs of the Federal State of Mecklenburg - West Pomerania [UG 09 033]

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PurposeTo compare the accuracy of liver fat quantification using a three-echo chemical shift-encoded magnetic resonance imaging (MRI) technique without and with correction for confounders with spectroscopy (MRS) as the reference standard. Materials and MethodsFifty patients (23 women, mean age 56.6 13.2 years) with fatty liver disease were enrolled. Patients underwent T2-corrected single-voxel MRS and a three-echo chemical shift-encoded gradient echo (GRE) sequence at 3.0T. MRI fat fraction (FF) was calculated without and with T2* and T1 correction and multispectral modeling of fat and compared with MRS-FF using linear regression. ResultsThe spectroscopic range of liver fat was 0.11%-38.7%. Excellent correlation between MRS-FF and MRI-FF was observed when using T2* correction (R-2=0.96). With use of T2* correction alone, the slope was significantly different from 1 (1.16 +/- 0.03, P < 0.001) and the intercept was different from 0 (1.14% +/- 0.50%, P < 0.023). This slope was significantly different than 1.0 when no T1 correction was used (P=0.001). When T2*, T1, and spectral complexity of fat were addressed, the results showed equivalence between fat quantification using MRI and MRS (slope: 1.02 +/- 0.03, P=0.528; intercept: 0.26% +/- 0.46%, P=0.572). ConclusionComplex three-echo chemical shift-encoded MRI is equivalent to MRS for quantifying liver fat, but only with correction for T2* decay and T1 recovery and use of spectral modeling of fat. This is necessary because T2* decay, T1 recovery, and multispectral complexity of fat are processes which may otherwise bias the measurements. J. Magn. Reson. Imaging 2014;39:1494-1501. (c) 2013 Wiley Periodicals, Inc.

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