JMI_Gifford_WAT_CT_HU_vs_MRI_FSF: Replication data for: Correlations between quantitative fat-water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue

Published: 19-04-2016| Version 1 | DOI: 10.17632/pypbrjnp4j.1
Contributors:
Aliya Gifford,
Ronald C. Walker,
Ted Towse,
E. Brian Welch

Description

The purpose of this work was to investigate whether the fat signal fraction (FSF) derived from quantitative fat-water MRI scans at 3.0 Tesla correlates to CT Hounsfield Units (HU) of the same tissue. These measures were acquired in the subcutaneous white adipose tissue (WAT) at the umbilical level of twenty-one healthy adult subjects. A moderate correlation exists between MRI and CT derived WAT values for all subjects, R2 = 0.54, p < 0.0001, with a slope of -2.6, (95% CI [-3.3, -1.8]), indicating that a decrease of 1 HU equals a mean increase of 0.38% FSF. This work demonstrates that FSF estimates obtained using quantitative fat-water MRI techniques correlate with CT HU values in subcutaneous WAT, and therefore, MRI based FSF could be used as an alternative to CT HU for assessing metabolic risk factors.

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Steps to reproduce

Replication code available at: https://github.com/gifforda/JMI_Gifford_WAT_CT_HU_vs_MRI_FSF Replication code citation: Gifford A, Walker RC, Towse TF, Welch EB. JMI_Gifford_WAT_CT_HU_vs_MRI_FSF: Replication code for: Correlations between quantitative fat-water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue [Internet]. Zenodo; 2015. Available from: http://dx.doi.org/10.5281/zenodo.34029