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Abstract #3437

Receiver operating characteristic analysis of fat fraction reveals no universal cut-off to reliably identify in vivo brown adipose tissue in adult humans

Terence Jones1,2, Sarah Wayte3, Narendra Reddy4, Oludolapo Adesanya1, Thomas Barber2,4, and Charles Edward Hutchinson1,2

1Department of Radiology, University Hospitals Coventry & Warwickshire NHS Trust, Birmingham, United Kingdom, 2Warwick Medical School, University of Warwick, Coventry, United Kingdom, 3Medical Physics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, United Kingdom, 4Department of Endocrinology, University Hospitals Coventry & Warwickshire NHS Trust, Birmingham, United Kingdom

Lower fat content within brown adipose tissue (BAT) compared to white adipose tissue (WAT) has been exploited using Dixon-based MRI imaging methods to visualize BAT but is subject to inter-rater variability. To determine the optimal fat fraction threshold for identifying BAT, receiver operating characteristic (ROC) analyses of fat fraction maps derived from 3 point IDEAL MRI scans were performed for sixteen subjects.

This method had good-to-excellent accuracy in four cases, and fair accuracy in two, but failed in ten. A single universal cut-off point to differentiate BAT and WAT could not be identified, instead the optimal thresholds varied between individuals.

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