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Full-Text Articles in Physiology
Characterizing Active And Inactive Brown Adipose Tissue In Adult Humans Using Pet-Ct And Mr Imaging, Aliya Gifford, Theodore F. Towse, Ronald C. Walker, Malcolm J. Avison, E Brian Welch
Characterizing Active And Inactive Brown Adipose Tissue In Adult Humans Using Pet-Ct And Mr Imaging, Aliya Gifford, Theodore F. Towse, Ronald C. Walker, Malcolm J. Avison, E Brian Welch
Peer Reviewed Articles
Activated brown adipose tissue (BAT) plays an important role in thermogenesis and whole body metabolism in mammals. Positron emission tomography (PET)-computed tomography (CT) imaging has identified depots of BAT in adult humans, igniting scientific interest. The purpose of this study is to characterize both active and inactive supraclavicular BAT in adults and compare the values to those of subcutaneous white adipose tissue (WAT). We obtained [18F]fluorodeoxyglucose ([18F]FDG) PET-CT and magnetic resonance imaging (MRI) scans of 25 healthy adults. Unlike [18F]FDG PET, which can detect only active BAT, MRI is capable of detecting both active …
Correlations Between Quantitative Fat–Water Magnetic Resonance Imaging And Computed Tomography In Human Subcutaneous White Adipose Tissue, Aliya Gifford, Ronald C. Walker, Theodore F. Towse, E Brian Welch
Correlations Between Quantitative Fat–Water Magnetic Resonance Imaging And Computed Tomography In Human Subcutaneous White Adipose Tissue, Aliya Gifford, Ronald C. Walker, Theodore F. Towse, E Brian Welch
Peer Reviewed Articles
Beyond estimation of depot volumes, quantitative analysis of adipose tissue properties could improve understanding of how adipose tissue correlates with metabolic risk factors. We investigated whether the fat signal fraction (FSF) derived from quantitative fat–water magnetic resonance imaging (MRI) scans at 3.0 T 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 21 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. We demonstrate 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.