Journal article
Quantification of liver fat with respiratory-gated quantitative chemical shift encoded MRI
Journal of magnetic resonance imaging, Vol.42(5), pp.1241-1248
11/01/2015
DOI: 10.1002/jmri.24896
PMCID: PMC4591113
PMID: 25828696
Abstract
PurposeTo evaluate free-breathing chemical shift-encoded (CSE) magnetic resonance imaging (MRI) for quantification of hepatic proton density fat-fraction (PDFF). A secondary purpose was to evaluate hepatic R2* values measured using free-breathing quantitative CSE-MRI.
Materials and MethodsFifty patients (mean age, 56 years) were prospectively recruited and underwent the following four acquisitions to measure PDFF and R2*; 1) conventional breath-hold CSE-MRI (BH-CSE); 2) respiratory-gated CSE-MRI using respiratory bellows (BL-CSE); 3) respiratory-gated CSE-MRI using navigator echoes (NV-CSE); and 4) single voxel MR spectroscopy (MRS) as the reference standard for PDFF. Image quality was evaluated by two radiologists. MRI-PDFF measured from the three CSE-MRI methods were compared with MRS-PDFF using linear regression. The PDFF and R2* values were compared using two one-sided t-test to evaluate statistical equivalence.
ResultsThere was no significant difference in the image quality scores among the three CSE-MRI methods for either PDFF (P=1.000) or R2* maps (P=0.359-1.000). Correlation coefficients (95% confidence interval [CI]) for the PDFF comparisons were 0.98 (0.96-0.99) for BH-, 0.99 (0.97-0.99) for BL-, and 0.99 (0.98-0.99) for NV-CSE. The statistical equivalence test revealed that the mean difference in PDFF and R2* between any two of the three CSE-MRI methods was less than 1 percentage point (pp) and +/- 5 s(-1), respectively (P<0.046).
ConclusionRespiratory-gated CSE-MRI with respiratory bellows or navigator echo are feasible methods to quantify liver PDFF and R2* and are as valid as the standard breath-hold technique. J. Magn. Reson. Imaging 2015;42:1241-1248.
Details
- Title: Subtitle
- Quantification of liver fat with respiratory-gated quantitative chemical shift encoded MRI
- Creators
- Utaroh Motosugi - University of Wisconsin–MadisonDiego Hernando - University of Wisconsin–MadisonPeter Bannas - University of Wisconsin–MadisonJames H. HolmesKang WangAnn ShimakawaYuji IwadateValentina Taviani - Stanford UniversityJennifer L. Rehm - University of Wisconsin–MadisonScott B. Reeder - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.42(5), pp.1241-1248
- DOI
- 10.1002/jmri.24896
- PMID
- 25828696
- PMCID
- PMC4591113
- NLM abbreviation
- J Magn Reson Imaging
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Publisher
- Wiley
- Number of pages
- 8
- Grant note
- R01 DK100651; R01 DK088925; K24 DK102595 / NIDDK NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK) K12HD055894 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) K12 HD055894 / NICHD NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) R01DK100651 / NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK)
- Language
- English
- Date published
- 11/01/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984295026202771
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