Magnetic Resonance Elastography of the Liver

  • Mathilde Wagner
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Cecilia Besa
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Jad Bou Ayache
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Temel Kaya Yasar
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Octavia Bane
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Maggie Fung
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Richard L. Ehman
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.
  • Bachir Taouli
    From the *Translational and Molecular Imaging Institute, and †Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY; ‡Department of Radiology, Mayo Clinic, Rochester, MN; and §GE Healthcare, MR Applications & Workflow, New York, NY.

Bibliographic Information

Other Title
  • Qualitative and Quantitative Comparison of Gradient Echo and Spin Echo Echoplanar Imaging Sequences

Description

<jats:sec> <jats:title>Objective</jats:title> <jats:p>The aim of this study was to compare 2-dimensional (2D) gradient recalled echo (GRE) and 2D spin echo echoplanar imaging (SE-EPI) magnetic resonance elastography (MRE) sequences of the liver in terms of image quality and quantitative liver stiffness (LS) measurement.</jats:p> </jats:sec> <jats:sec> <jats:title>Materials and Methods</jats:title> <jats:p>This prospective study involved 50 consecutive subjects (male/female, 33/17; mean age, 58 years) who underwent liver magnetic resonance imaging at 3.0 T including 2 MRE sequences, 2D GRE, and 2D SE-EPI (acquisition time 56 vs 16 seconds, respectively). Image quality scores were assessed by 2 independent observers based on wave propagation and organ coverage on the confidence map (range, 0–15). A third observer measured LS on stiffness maps (in kilopascal). Mean LS values, regions of interest size (based on confidence map), and image quality scores between SE-EPI and GRE-MRE were compared using paired nonparametric Wilcoxon test. Reproducibility of LS values between the 2 sequences was assessed using intraclass coefficient correlation, coefficient of variation, and Bland-Altman limits of agreement. T2* effect on image quality was assessed using partial Spearman correlation.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>There were 4 cases of failure with GRE-MRE and none with SE-EPI-MRE. Image quality scores and region of interest size were significantly higher using SE-EPI-MRE versus GRE-MRE (<jats:italic toggle="yes">P</jats:italic> < 0.0001 for both measurements and observers). Liver stiffness measurements were not significantly different between the 2 sequences (3.75 ± 1.87 kPa vs 3.55 ± 1.51 kPa, <jats:italic toggle="yes">P</jats:italic> = 0.062), were significantly correlated (intraclass coefficient correlation, 0.909), and had excellent reproducibility (coefficient of variation, 10.2%; bias, 0.023; Bland-Altman limits of agreement, −1.19; 1.66 kPa). Image quality scores using GRE-MRE were significantly correlated with T2* while there was no correlation for SE-EPI-MRE.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Our data suggest that SE-EPI-MRE may be a better alternative to GRE-MRE. The diagnostic performance of SE-EPI-MRE for detection of liver fibrosis needs to be assessed in a future study.</jats:p> </jats:sec>

Journal

  • Investigative Radiology

    Investigative Radiology 51 (9), 575-581, 2016-09

    Ovid Technologies (Wolters Kluwer Health)

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