Canine body composition quantification using 3 tesla fat–water MRI. Issue 2 (17th April 2013)
- Record Type:
- Journal Article
- Title:
- Canine body composition quantification using 3 tesla fat–water MRI. Issue 2 (17th April 2013)
- Main Title:
- Canine body composition quantification using 3 tesla fat–water MRI
- Authors:
- Gifford, Aliya
Kullberg, Joel
Berglund, Johan
Malmberg, Filip
Coate, Katie C.
Williams, Phillip E.
Cherrington, Alan D.
Avison, Malcolm J.
Welch, E. Brian - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jmri24156-sec-0001" sec-type="section"> <title>Purpose</title> <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.</p> </sec> <sec id="jmri24156-sec-0002" sec-type="section"> <title>Materials and Methods</title> <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.</p> </sec> <sec id="jmri24156-sec-0003" sec-type="section"> <title>Results</title> <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<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jmri24156-sec-0001" sec-type="section"> <title>Purpose</title> <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.</p> </sec> <sec id="jmri24156-sec-0002" sec-type="section"> <title>Materials and Methods</title> <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.</p> </sec> <sec id="jmri24156-sec-0003" sec-type="section"> <title>Results</title> <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.</p> </sec> <sec id="jmri24156-sec-0004" sec-type="section"> <title>Conclusion</title> <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. <bold>J. Magn. Reson. Imaging 2014;39:485–491</bold>. © <bold>2013 Wiley Periodicals, Inc</bold>.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of magnetic resonance imaging. Volume 39:Issue 2(2014)
- Journal:
- Journal of magnetic resonance imaging
- Issue:
- Volume 39:Issue 2(2014)
- Issue Display:
- Volume 39, Issue 2 (2014)
- Year:
- 2014
- Volume:
- 39
- Issue:
- 2
- Issue Sort Value:
- 2014-0039-0002-0000
- Page Start:
- 485
- Page End:
- 491
- Publication Date:
- 2013-04-17
- Subjects:
- Magnetic resonance imaging -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2586 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmri.24156 ↗
- Languages:
- English
- ISSNs:
- 1053-1807
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.791000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4333.xml