Literature DB >> 29665193

Validation of a motion-robust 2D sequential technique for quantification of hepatic proton density fat fraction during free breathing.

B Dustin Pooler1, Diego Hernando1,2, Jeannine A Ruby1, Hiroshi Ishii1,3, Ann Shimakawa4, Scott B Reeder1,2,5,6,7.   

Abstract

BACKGROUND: Current chemical-shift-encoded (CSE) MRI techniques for measuring hepatic proton density fat fraction (PDFF) are sensitive to motion artifacts.
PURPOSE: Initial validation of a motion-robust 2D-sequential CSE-MRI technique for quantification of hepatic PDFF. STUDY TYPE: Phantom study and prospective in vivo cohort. POPULATION: Fifty adult patients (27 women, 23 men, mean age 57.2 years). FIELD STRENGTH/SEQUENCE: 3D, 2D-interleaved, and 2D-sequential CSE-MRI acquisitions at 1.5T. ASSESSMENT: Three CSE-MRI techniques (3D, 2D-interleaved, 2D-sequential) were performed in a PDFF phantom and in vivo. Reference standards were 3D CSE-MRI PDFF measurements for the phantom study and single-voxel MR spectroscopy hepatic PDFF measurements (MRS-PDFF) in vivo. In vivo hepatic MRI-PDFF measurements were performed during a single breath-hold (BH) and free breathing (FB), and were repeated by a second reader for the FB 2D-sequential sequence to assess interreader variability. STATISTICAL TESTS: Correlation plots to validate the 2D-sequential CSE-MRI against the phantom and in vivo reference standards. Bland-Altman analysis of FB versus BH CSE-MRI acquisitions to evaluate robustness to motion. Bland-Altman analysis to assess interreader variability.
RESULTS: Phantom 2D-sequential CSE-MRI PDFF measurements demonstrated excellent agreement and correlation (R2 > 0.99) with 3D CSE-MRI. In vivo, the mean (±SD) hepatic PDFF was 8.8 ± 8.7% (range 0.6-28.5%). Compared with BH acquisitions, FB hepatic PDFF measurements demonstrated bias of +0.15% for 2D-sequential compared with + 0.53% for 3D and +0.94% for 2D-interleaved. 95% limits of agreement (LOA) were narrower for 2D-sequential (±0.99%), compared with 3D (±3.72%) and 2D-interleaved (±3.10%). All CSE-MRI techniques had excellent correlation with MRS (R2 > 0.97). The FB 2D-sequential acquisition demonstrated little interreader variability, with mean bias of +0.07% and 95% LOA of ± 1.53%. DATA
CONCLUSION: This motion-robust 2D-sequential CSE-MRI can accurately measure hepatic PDFF during free breathing in a patient population with a range of PDFF values of 0.6-28.5%, permitting accurate quantification of liver fat content without the need for suspended respiration. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:1578-1585.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  hepatic steatosis; liver; magnetic resonance imaging; motion; motion artifact; proton density fat fraction

Mesh:

Year:  2018        PMID: 29665193      PMCID: PMC6589341          DOI: 10.1002/jmri.26056

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  23 in total

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4.  Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise.

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5.  The natural history of nonalcoholic fatty liver disease: a population-based cohort study.

Authors:  Leon A Adams; James F Lymp; Jenny St Sauver; Schuyler O Sanderson; Keith D Lindor; Ariel Feldstein; Paul Angulo
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6.  Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity.

Authors:  C A Matteoni; Z M Younossi; T Gramlich; N Boparai; Y C Liu; A J McCullough
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9.  Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation.

Authors:  Huanzhou Yu; Charles A McKenzie; Ann Shimakawa; Anthony T Vu; Anja C S Brau; Philip J Beatty; Angel R Pineda; Jean H Brittain; Scott B Reeder
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Journal:  J Magn Reson Imaging       Date:  2019-07-05       Impact factor: 4.813

Review 2.  Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron.

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3.  Free-breathing liver fat and R 2 quantification using motion-corrected averaging based on a nonlocal means algorithm.

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4.  Motion-robust, high-SNR liver fat quantification using a 2D sequential acquisition with a variable flip angle approach.

Authors:  Ruiyang Zhao; Yuxin Zhang; Xiaoke Wang; Timothy J Colgan; Jennifer L Rehm; Scott B Reeder; Kevin M Johnson; Diego Hernando
Journal:  Magn Reson Med       Date:  2020-04-03       Impact factor: 4.668

Review 5.  Liver fat quantification: where do we stand?

Authors:  Jitka Starekova; Scott B Reeder
Journal:  Abdom Radiol (NY)       Date:  2020-10-06

6.  Effect of noise and estimator type on bias for analysis of liver proton density fat fraction.

Authors:  Edward M Lawrence; Nathan T Roberts; Diego Hernando; Lu Mao; Scott B Reeder
Journal:  Magn Reson Imaging       Date:  2020-10-02       Impact factor: 2.546

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  7 in total

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