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Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments

Quantifying the amount of brown adipose tissue (BAT) within white adipose tissue (WAT) in human depots may serve as a target to combat obesity. We aimed to quantify proton density fat fraction (PDFF) of BAT and WAT in relatively pure and in mixed preparation using water–fat imaging. Three ex-vivo ex...

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Autores principales: Stojanovska, Jadranka, Lumeng, Carey N., Griffin, Cameron, Hernando, Diego, Hoffmann, Udo, Haft, Jonathan W., Kim, Karen M., Burant, Charles F., Singer, Kanakadurga, Tsodikov, Alex, Long, Benjamin D., Romano, Matthew A., Tang, Paul C., Yang, Bo, Chenevert, Thomas L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025480/
https://www.ncbi.nlm.nih.gov/pubmed/30137870
http://dx.doi.org/10.1117/1.JMI.5.2.024007
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author Stojanovska, Jadranka
Lumeng, Carey N.
Griffin, Cameron
Hernando, Diego
Hoffmann, Udo
Haft, Jonathan W.
Kim, Karen M.
Burant, Charles F.
Singer, Kanakadurga
Tsodikov, Alex
Long, Benjamin D.
Romano, Matthew A.
Tang, Paul C.
Yang, Bo
Chenevert, Thomas L.
author_facet Stojanovska, Jadranka
Lumeng, Carey N.
Griffin, Cameron
Hernando, Diego
Hoffmann, Udo
Haft, Jonathan W.
Kim, Karen M.
Burant, Charles F.
Singer, Kanakadurga
Tsodikov, Alex
Long, Benjamin D.
Romano, Matthew A.
Tang, Paul C.
Yang, Bo
Chenevert, Thomas L.
author_sort Stojanovska, Jadranka
collection PubMed
description Quantifying the amount of brown adipose tissue (BAT) within white adipose tissue (WAT) in human depots may serve as a target to combat obesity. We aimed to quantify proton density fat fraction (PDFF) of BAT and WAT in relatively pure and in mixed preparation using water–fat imaging. Three ex-vivo experiments were performed at 3 T using excised interscapular BAT and inguinal/subcutaneous WAT from mice. The first two experiments consisted of BAT and WAT in separate tubes, and the third used mixed preparation with graded quantities of BAT and WAT. To investigate the influence of partial volume on PDFF metrics, low ([Formula: see text]) and high spatial resolution ([Formula: see text] acquired voxels) in two orthogonal three-dimensional sections were compared. The low-resolution acquisitions are corrected for T2* and multipeak lipid spectrum, thus considered “quantitative,” whereas the high-resolution acquisitions are not corrected but were performed to better spatially segment BAT from WAT zones. As potential BAT metrics, we quantified the average PDFF and the volume of tissue having PDFF [Formula: see text] ([Formula: see text]) based on the PDFF histogram. In the first experiment, the average PDFF of BAT was [Formula: see text] and [Formula: see text] and the average PDFF of WAT was [Formula: see text] and [Formula: see text] using high- and low-resolution techniques, respectively. A similar trend with excellent reproducibility in average PDFF of BAT and WAT was observed in the second experiment. In the third experiment over the four acquisitions, the BAT-dominant tube demonstrated lower PDFF (mean ± SD) of [Formula: see text] than WAT-dominant [Formula: see text] and WAT-only tubes [Formula: see text]. Estimating [Formula: see text] , the BAT-dominant tube demonstrated higher volume of [Formula: see text] than WAT-dominant ([Formula: see text]) and WAT-only tubes ([Formula: see text]). The presence of BAT exhibits a lower PDFF relative to WAT, thus allowing segmentation of low PDFF tissue for quantification of volume representative of BAT. Future studies will determine the clinical relevance of BAT volume within human depots.
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spelling pubmed-60254802019-06-29 Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments Stojanovska, Jadranka Lumeng, Carey N. Griffin, Cameron Hernando, Diego Hoffmann, Udo Haft, Jonathan W. Kim, Karen M. Burant, Charles F. Singer, Kanakadurga Tsodikov, Alex Long, Benjamin D. Romano, Matthew A. Tang, Paul C. Yang, Bo Chenevert, Thomas L. J Med Imaging (Bellingham) Image Processing Quantifying the amount of brown adipose tissue (BAT) within white adipose tissue (WAT) in human depots may serve as a target to combat obesity. We aimed to quantify proton density fat fraction (PDFF) of BAT and WAT in relatively pure and in mixed preparation using water–fat imaging. Three ex-vivo experiments were performed at 3 T using excised interscapular BAT and inguinal/subcutaneous WAT from mice. The first two experiments consisted of BAT and WAT in separate tubes, and the third used mixed preparation with graded quantities of BAT and WAT. To investigate the influence of partial volume on PDFF metrics, low ([Formula: see text]) and high spatial resolution ([Formula: see text] acquired voxels) in two orthogonal three-dimensional sections were compared. The low-resolution acquisitions are corrected for T2* and multipeak lipid spectrum, thus considered “quantitative,” whereas the high-resolution acquisitions are not corrected but were performed to better spatially segment BAT from WAT zones. As potential BAT metrics, we quantified the average PDFF and the volume of tissue having PDFF [Formula: see text] ([Formula: see text]) based on the PDFF histogram. In the first experiment, the average PDFF of BAT was [Formula: see text] and [Formula: see text] and the average PDFF of WAT was [Formula: see text] and [Formula: see text] using high- and low-resolution techniques, respectively. A similar trend with excellent reproducibility in average PDFF of BAT and WAT was observed in the second experiment. In the third experiment over the four acquisitions, the BAT-dominant tube demonstrated lower PDFF (mean ± SD) of [Formula: see text] than WAT-dominant [Formula: see text] and WAT-only tubes [Formula: see text]. Estimating [Formula: see text] , the BAT-dominant tube demonstrated higher volume of [Formula: see text] than WAT-dominant ([Formula: see text]) and WAT-only tubes ([Formula: see text]). The presence of BAT exhibits a lower PDFF relative to WAT, thus allowing segmentation of low PDFF tissue for quantification of volume representative of BAT. Future studies will determine the clinical relevance of BAT volume within human depots. Society of Photo-Optical Instrumentation Engineers 2018-06-29 2018-04 /pmc/articles/PMC6025480/ /pubmed/30137870 http://dx.doi.org/10.1117/1.JMI.5.2.024007 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Image Processing
Stojanovska, Jadranka
Lumeng, Carey N.
Griffin, Cameron
Hernando, Diego
Hoffmann, Udo
Haft, Jonathan W.
Kim, Karen M.
Burant, Charles F.
Singer, Kanakadurga
Tsodikov, Alex
Long, Benjamin D.
Romano, Matthew A.
Tang, Paul C.
Yang, Bo
Chenevert, Thomas L.
Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title_full Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title_fullStr Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title_full_unstemmed Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title_short Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
title_sort water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments
topic Image Processing
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025480/
https://www.ncbi.nlm.nih.gov/pubmed/30137870
http://dx.doi.org/10.1117/1.JMI.5.2.024007
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