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Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm.

Publication ,  Journal Article
Sofue, K; Mileto, A; Dale, BM; Zhong, X; Bashir, MR
Published in: J Magn Reson Imaging
November 2015

PURPOSE: To assess the interexamination repeatability and spatial heterogeneity of liver iron and fat measurements using a magnetic resonance imaging (MRI)-based multistep adaptive fitting algorithm. MATERIALS AND METHODS: This prospective observational study was Institutional Review Board-approved and Health Insurance Portability and Accountability Act-compliant. Written informed consent was waived. In all, 150 subjects were imaged on 3T MRI systems. A whole-liver volume acquisition was performed twice using a six-echo 3D spoiled gradient echo sequence during two immediately adjacent examinations. Colocalized regions of interest (ROIs) in three different hepatic segments were placed for R2 * and proton density fat fraction (PDFF) measurements by two readers independently. Mean R2 * and PDFF values between readers and acquisitions were compared using the Wilcoxon signed-rank test, intraclass correlation coefficients (ICCs), linear regression, Bland-Altman analysis, and analysis of variance (ANOVA). RESULTS: The mean R2 * and PDFF values across all ROIs and measurements were 51.2 ± 25.2 s(-1) and 6.9 ± 6.4%, respectively. Mean R2 * and PDFF values showed no significant differences between the two acquisitions (P = 0.05-0.87). Between the two acquisitions, R2 * and PDFF values demonstrated almost perfect agreement (ICCs = 0.979-0.994) and excellent correlation (R(2)  = 0.958-0.989). Bland-Altman analysis also demonstrated excellent agreement. In the ANOVA, the individual patient and ROI location were significant effects for both R2 * and PDFF values (P < 0.05). CONCLUSION: MRI-based R2 * and PDFF measurements are repeatable between examinations. Between-measurement changes in R2 * of more than 10.1 s(-1) and in PDFF of more than 1.7% are likely due to actual tissue changes. Liver iron and fat content are variable between hepatic segments.

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Published In

J Magn Reson Imaging

DOI

EISSN

1522-2586

Publication Date

November 2015

Volume

42

Issue

5

Start / End Page

1281 / 1290

Location

United States

Related Subject Headings

  • Young Adult
  • Reproducibility of Results
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver
  • Iron
  • Image Interpretation, Computer-Assisted
 

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Sofue, K., Mileto, A., Dale, B. M., Zhong, X., & Bashir, M. R. (2015). Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm. J Magn Reson Imaging, 42(5), 1281–1290. https://doi.org/10.1002/jmri.24922
Sofue, Keitaro, Achille Mileto, Brian M. Dale, Xiaodong Zhong, and Mustafa R. Bashir. “Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm.J Magn Reson Imaging 42, no. 5 (November 2015): 1281–90. https://doi.org/10.1002/jmri.24922.
Sofue, Keitaro, et al. “Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm.J Magn Reson Imaging, vol. 42, no. 5, Nov. 2015, pp. 1281–90. Pubmed, doi:10.1002/jmri.24922.
Sofue K, Mileto A, Dale BM, Zhong X, Bashir MR. Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm. J Magn Reson Imaging. 2015 Nov;42(5):1281–1290.
Journal cover image

Published In

J Magn Reson Imaging

DOI

EISSN

1522-2586

Publication Date

November 2015

Volume

42

Issue

5

Start / End Page

1281 / 1290

Location

United States

Related Subject Headings

  • Young Adult
  • Reproducibility of Results
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver
  • Iron
  • Image Interpretation, Computer-Assisted