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Identification of an optimal threshold for detecting human brown adipose tissue using receiver operating characteristic analysis of IDEAL MRI fat fraction maps
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Jones, Terence A., Wayte, Sarah C., Reddy, Narendra Lakshmana, Adesanya, Oludolapo, Dimitriadis, Georgios K., Barber, Thomas M. and Hutchinson, Charles E. (2018) Identification of an optimal threshold for detecting human brown adipose tissue using receiver operating characteristic analysis of IDEAL MRI fat fraction maps. Magnetic Resonance Imaging, 51 . pp. 61-68. doi:10.1016/j.mri.2018.04.013 ISSN 0730-725X.
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Official URL: http://dx.doi.org/10.1016/j.mri.2018.04.013
Abstract
Purpose:
Lower fat fraction (FF) in brown adipose tissue (BAT) than white adipose tissue (WAT) has been exploited using Dixon-based Magnetic Resonance Imaging (MRI) to differentiate these tissues in rodents, human infants and adults. We aimed to determine whether an optimal FF threshold could be determined to differentiate between BAT and WAT in adult humans in vivo.
Methods:
Sixteen volunteers were recruited (9 females, 7 males; 44.2 ± 19.2 years) based on BAT uptake on 18F-FDG PET/CT. Axial 3-echo TSE IDEAL sequences were acquired (TR(ms)/TE(ms)/matrix/NEX/FoV(cm) = 440/10.7–11.1/512 × 512/3/30–40), of the neck/upper thorax on a 3T HDxt MRI scanner (GE Medical Systems, Milwaukee, USA), and FF maps generated from the resulting water- and fat-only images. BAT depots were delineated on PET/CT based on standardized uptake values (SUV) >2.5 g/ml, and transposed onto FF maps. WAT depots were defined manually within subcutaneous fat.
Receiver operating characteristic (ROC) analyses were performed, and optimal thresholds for differentiating BAT and WAT determined for each subject using Youden's J statistic.
Results:
There was large variation in optimal FF thresholds to differentiate BAT and WAT between subjects (0.68–0.85), with great variation in sensitivity (0.26–0.84) and specificity (0.62–0.99). FF was excellent or good at separating BAT and WAT in four cases (area under the curve [AUC] 0.84–0.92), but poor in 10 (AUC 0.25–0.68).
Conclusion:
Although this technique was effective at differentiating BAT and WAT in some cases, no universal cut-off could be identified to reliably differentiate BAT and WAT in vivo in adult humans on the basis of FF.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QP Physiology R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Population, Evidence & Technologies (PET) Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences > Translational & Experimental Medicine Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Library of Congress Subject Headings (LCSH): | Brown adipose tissue, Magnetic resonance imaging | ||||||||
Journal or Publication Title: | Magnetic Resonance Imaging | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 0730-725X | ||||||||
Official Date: | September 2018 | ||||||||
Dates: |
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Volume: | 51 | ||||||||
Page Range: | pp. 61-68 | ||||||||
DOI: | 10.1016/j.mri.2018.04.013 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 26 April 2018 | ||||||||
Date of first compliant Open Access: | 25 April 2019 | ||||||||
RIOXX Funder/Project Grant: |
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