ArticleJournal of magnetic resonance imaging : JMRI2014
Canine body composition quantification using 3 tesla fat-water MRI.
Article in Journal of magnetic resonance imaging : JMRI, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Abdominal visceral to subcutaneous fat distribution in dogs: computed tomography accuracy and factors associated with distribution.BMC veterinary research · 2026Article
- Article
- Article
- Compartmental fat distribution in the abdomen of dogs relative to overall body fat composition.BMC veterinary research · 2020Article
- Evaluation of visceral fat mass in dogs by computed tomography.The Journal of veterinary medical science · 2019Article
- Sympathetic Denervation of the Common Hepatic Artery Lessens Glucose Intolerance in the Fat- and Fructose-Fed Dog.Diabetes · 2019Article
- Animal models of obesity and diabetes mellitus.Nature reviews. Endocrinology · 2018Review
- In vivo assessment of subcutaneous fat in dogs by real-time ultrasonography and image analysis.Acta veterinaria Scandinavica · 2016Article
- Segmentation and quantification of adipose tissue by magnetic resonance imaging.Magma (New York, N.Y.) · 2016Review
- Fat-water MRI of a diet-induced obesity mouse model at 15.2T.Journal of medical imaging (Bellingham, Wash.) · 2016Article
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Authors and funding
9 authors.
Funding
Abstract
purposeTo 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. MATERIALS AND
methodsSix 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.
resultsFWMRI-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.
conclusionFWMRI 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.
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