Literature DB >> 28543915

Cross-sectional correlation between hepatic R2* and proton density fat fraction (PDFF) in children with hepatic steatosis.

Adrija Mamidipalli1, Gavin Hamilton1, Paul Manning1, Cheng William Hong1, Charlie C Park1, Tanya Wolfson2, Jonathan Hooker1, Elhamy Heba1, Alexandra Schlein1, Anthony Gamst2, Janis Durelle3, Melissa Paiz3, Michael S Middleton1, Jeffrey B Schwimmer4,3, Claude B Sirlin1.   

Abstract

PURPOSE: To determine the relationship between hepatic proton density fat fraction (PDFF) and R2* in vivo.
MATERIALS AND METHODS: In this Health Insurance Portability and Accountability Act (HIPAA)-compliant, Institutional Review Board (IRB)-approved, cross-sectional study, we conducted a secondary analysis of 3T magnetic resonance imaging (MRI) exams performed as part of prospective research studies in children in whom conditions associated with iron overload were excluded clinically. Each exam included low-flip-angle, multiecho magnitude (-M) and complex (-C) based chemical-shift-encoded MRI techniques with spectral modeling of fat to generate hepatic PDFF and R2* parametric maps. For each technique and each patient, regions of interest were placed on the maps in each of the nine Couinaud segments, and composite whole-liver PDFF and R2* values were calculated. Pearson's correlation coefficients between PDFF and R2* were computed for each MRI technique. Correlations were compared using Steiger's test.
RESULTS: In all, 184 children (123 boys, 61 girls) were included in this analysis. PDFF estimated by MRI-M and MRI-C ranged from 1.1-35.4% (9.44 ± 8.76) and 2.1-38.1% (10.1 ± 8.7), respectively. R2* estimated by MRI-M and MRI-C ranged from 32.6-78.7 s-1 (48.4 ± 9.8) and 27.2-71.5 s-1 (42.2 ± 8.6), respectively. There were strong and significant correlations between hepatic PDFF and R2* values estimated by MRI-M (r = 0.874; P < 0.0001) and MRI-C (r = 0.853; P < 0.0001). The correlation coefficients (0.874 vs. 0.853) were not significantly different (P = 0.15).
CONCLUSION: Hepatic PDFF and R2* are strongly correlated with each other in vivo. This relationship was observed using two different MRI techniques. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:418-424.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; PDFF (proton density fat fraction); R2*; children; hepatic steatosis; iron overload

Mesh:

Year:  2017        PMID: 28543915      PMCID: PMC5702271          DOI: 10.1002/jmri.25748

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


  38 in total

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5.  Magnetic resonance imaging and liver histology as biomarkers of hepatic steatosis in children with nonalcoholic fatty liver disease.

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6.  Combination of complex-based and magnitude-based multiecho water-fat separation for accurate quantification of fat-fraction.

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7.  Water-fat separation with IDEAL gradient-echo imaging.

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8.  Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.

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9.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

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2.  Hepatic R2* is more strongly associated with proton density fat fraction than histologic liver iron scores in patients with nonalcoholic fatty liver disease.

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3.  Sources of systematic error in proton density fat fraction (PDFF) quantification in the liver evaluated from magnitude images with different numbers of echoes.

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4.  Normal range for MR elastography measured liver stiffness in children without liver disease.

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5.  Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T.

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6.  Liver fat accumulation measured by high-speed T2-corrected multi-echo magnetic resonance spectroscopy can predict risk of cholelithiasis.

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Review 7.  Multiparametric MR mapping in clinical decision-making for diffuse liver disease.

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