title: Canine body composition quantification using 3 tesla fat-water MRI.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Vanderbilt University Institute of Imaging Science, Vanderbilt University School of Medicine, Nashville, Tennessee, USA; Chemical and Physical Biology Program, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
authors.forename: Aliya
authors.initials: A
authors.lastname: Gifford
authors.forename: Joel
authors.initials: J
authors.lastname: Kullberg
authors.forename: Johan
authors.initials: J
authors.lastname: Berglund
authors.forename: Filip
authors.initials: F
authors.lastname: Malmberg
authors.forename: Katie C
authors.initials: KC
authors.lastname: Coate
authors.forename: Phillip E
authors.initials: PE
authors.lastname: Williams
authors.forename: Alan D
authors.initials: AD
authors.lastname: Cherrington
authors.forename: Malcolm J
authors.initials: MJ
authors.lastname: Avison
authors.forename: E Brian
authors.initials: EB
authors.lastname: Welch
mesh_terms: D000273:Adipose Tissue / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D050218:Body Fat Distribution; D001834:Body Water / Q000378:metabolism*; D004285:Dogs; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D051598:Whole Body Imaging / Q000379:methods*
keywords: adipose; bone; canine; fat-water; lean; whole-body