Back to Search Start Over

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

Authors :
Adrija, Mamidipalli
Gavin, Hamilton
Paul, Manning
Cheng William, Hong
Charlie C, Park
Tanya, Wolfson
Jonathan, Hooker
Elhamy, Heba
Alexandra, Schlein
Anthony, Gamst
Janis, Durelle
Melissa, Paiz
Michael S, Middleton
Jeffrey B, Schwimmer
Claude B, Sirlin
Source :
Journal of magnetic resonance imaging : JMRI. 47(2)
Publication Year :
2017

Abstract

To determine the relationship between hepatic proton density fat fraction (PDFF) and R2* in vivo.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.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 sHepatic PDFF and R2* are strongly correlated with each other in vivo. This relationship was observed using two different MRI techniques.2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:418-424.

Details

ISSN :
15222586
Volume :
47
Issue :
2
Database :
OpenAIRE
Journal :
Journal of magnetic resonance imaging : JMRI
Accession number :
edsair.pmid..........939fdcf7d504bfdafc267ba0cbc10540