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- Aliya Gifford
- Vanderbilt University Institute of Imaging Science Vanderbilt University School of Medicine Nashville Tennessee USA
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- Joel Kullberg
- Department of Radiology Uppsala University Uppsala Sweden
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- Johan Berglund
- Department of Radiology Uppsala University Uppsala Sweden
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- Filip Malmberg
- Center for Image Analysis Uppsala University Uppsala Sweden
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- Katie C. Coate
- Department of Molecular Physiology and Biophysics Vanderbilt University School of Medicine Nashville Tennessee USA
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- Phillip E. Williams
- Department of Molecular Physiology and Biophysics Vanderbilt University School of Medicine Nashville Tennessee USA
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- Alan D. Cherrington
- Department of Molecular Physiology and Biophysics Vanderbilt University School of Medicine Nashville Tennessee USA
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- Malcolm J. Avison
- Vanderbilt University Institute of Imaging Science Vanderbilt University School of Medicine Nashville Tennessee USA
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- E. Brian Welch
- Vanderbilt University Institute of Imaging Science Vanderbilt University School of Medicine Nashville Tennessee USA
書誌事項
- 公開日
- 2013-04-17
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1002/jmri.24156
- 公開者
- Wiley
この論文をさがす
説明
<jats:sec><jats:title>Purpose</jats:title><jats:p>To test the hypothesis that a whole‐body fat–water MRI (FWMRI) protocol acquired at 3 Tesla combined with semi‐automated image analysis techniques enables precise volume and mass quantification of adipose, lean, and bone tissue depots that agree with static scale mass and scale mass changes in the context of a longitudinal study of large‐breed dogs placed on an obesogenic high‐fat, high‐fructose diet.</jats:p></jats:sec><jats:sec><jats:title>Materials and Methods</jats:title><jats:p>Six healthy adult male dogs were scanned twice, at weeks 0 (baseline) and 4, of the dietary regiment. FWMRI‐derived volumes of adipose tissue (total, visceral, and subcutaneous), lean tissue, and cortical bone were quantified using a semi‐automated approach. Volumes were converted to masses using published tissue densities.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>FWMRI‐derived total mass corresponds with scale mass with a concordance correlation coefficient of 0.931 (95% confidence interval = [0.813, 0.975]), and slope and intercept values of 1.12 and −2.23 kg, respectively. Visceral, subcutaneous and total adipose tissue masses increased significantly from weeks 0 to 4, while neither cortical bone nor lean tissue masses changed significantly. This is evidenced by a mean percent change of 70.2% for visceral, 67.0% for subcutaneous, and 67.1% for total adipose tissue.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>FWMRI can precisely quantify and map body composition with respect to adipose, lean, and bone tissue depots. The described approach provides a valuable tool to examine the role of distinct tissue depots in an established animal model of human metabolic disease. <jats:bold>J. Magn. Reson. Imaging 2014;39:485–491</jats:bold>. © <jats:bold>2013 Wiley Periodicals, Inc</jats:bold>.</jats:p></jats:sec>
収録刊行物
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- Journal of Magnetic Resonance Imaging
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Journal of Magnetic Resonance Imaging 39 (2), 485-491, 2013-04-17
Wiley
