Computed Tomographic Assessment of Body Fat in Beagles

Ishioka, Katsumi; Okumura, Masahiro; Sagawa, Mayumi; Nakadomo, Fumio; Kimura, Kazuhiro; Saito, Masayuki

doi:10.1111/j.1740-8261.2005.00009.x

Cited by 70 publications

(79 citation statements)

References 4 publications

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“…Specifically, the CVs were 0.25%, 1.19%, 0.42%, and 3.08% for TAT, VAT, LT and CB respectively. The CVs for TAT, VAT and LT compare favorably with recently reported CVs of human 3T FWMRI measurements of the same quantities (14,15).…”

Section: Resultssupporting

confidence: 71%

Canine body composition quantification using 3 tesla fat–water MRI

Gifford

Kullberg

Berglund

et al. 2014

Magnetic Resonance Imaging

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Purpose-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.Materials and 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.Conclusion-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.

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Section: Resultssupporting

confidence: 71%

Canine body composition quantification using 3 tesla fat–water MRI

Gifford

Kullberg

Berglund

et al. 2014

Magnetic Resonance Imaging

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“…Neutering via surgical removal of the testes or ovaries in dogs and cats is known empirically to increase the risk of obesity [7, 11, 18]. It has been found that if dogs and cats exceed their ideal body weight by 15%, the harmful physical effects associated with obesity, including heart disease, exacerbation of joint disease and diabetes, become apparent [4, 18].…”

mentioning

confidence: 99%

“…We therefore designated the CT attenuation range indicating areas of fat in humans to select areas of fat. The CT cross-sectional images evaluated in this study were selected from the past studies done [11]. We selected areas from the thoracic (T6, T9 and T12) and lumbar spines (L3 and L5).…”

mentioning

confidence: 99%

Comparative Investigation of Body Composition in Male Dogs Using CT and Body Fat Analysis Software

Kobayashi

Kusumi

Kitagawa

et al. 2014

The Journal of Veterinary Medical Science

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In small animal veterinary practices, body condition score (BCS) is generally used to diagnose obesity. However, BCS does not constitute objective data. In this study, we investigated the value of using human body fat analysis software for male dogs. We also compared changes in body fat after neutering. Changes in body fat at the time of neutering (age 1 year) and 1 year later were compared by performing CT scanning and using human body fat analysis software. We found that body fat increased in all the individuals tested. In terms of the site of fat accumulation, subcutaneous fat was more pronounced than visceral fat with a marked increase on the dorsal side of the abdomen rather than the thorax.

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“…In the human medical practice, computed tomography (CT) is one of the most advanced methods for the accurate assessment of intraabdominal fat accumulation (Hirooka et al, 2005). Although the CT method using a single image at vertebrae L3-5 is a useful technique for the evaluation of canine obesity and body fat distribution, an accurate procedure has been developed for a single breed (the Beagle) only (Ishioka et al, 2005a).…”

Section: Abstract: Leptin Insulin Resistance Abdominal Fat Computmentioning

confidence: 99%

“…The dogs were subjected to general anaesthesia for the procedure. Subcutaneous and visceral fat areas were measured on a crosssectional scan (120 Kv, 30 mA, 5 mm slice thickness) at the level of the L2 and L3 vertebrae (Ishioka et al, 2005a). The pixels with attenuation values in the selected range were depicted as red (Fig 1).…”

Section: Computed Tomographymentioning

confidence: 99%

Body fat distribution and metabolic consequences — Examination opportunities in dogs

Müller

Kollár

Pöstényi

et al. 2014

Acta Veterinaria Hungarica

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The relationship between metabolic disorders and the distribution of fat in different body regions is not clearly understood in humans. The aim of this study was to develop a suitable method for assessing the regional distribution of fat deposits and their metabolic effects in dogs. Twenty-five dogs were subjected to computed tomographic (CT) imaging and blood sampling in order to characterise their metabolic status. The different fat areas were measured on a cross-sectional scan, and the animals' metabolic status was evaluated by measuring fasting glucose, insulin and leptin levels. The volume of visceral adipose tissue is the main determinant of leptin levels. The correlation of visceral fat volume and leptin concentration was found to be independent of insulin levels or the degree of insulin resistance. There was a positive correlation between the visceral to subcutaneous fat volume ratio and serum insulin concentration, and a similar trend was observed in the relationship of fat ratio and insulin resistance. The distribution of body fat essentially influences the metabolic parameters in dogs, but the effects of adiposity differ between humans and dogs. The findings can facilitate a possible extrapolation of results from animal studies to humans with regard to the metabolic consequences of different obesity types. Key words: Leptin, insulin resistance, abdominal fat, computed tomographyObesity is a growing problem in companion animals just like in humans. The development of insulin resistance, dyslipidaemia and other metabolic problems appear to be more closely related to the regional distribution of body fat than simply to adiposity or body weight. Even though the phenotypes of human obesity that represent specific risk factors for metabolic disorders have not been reported in dogs, differences in the metabolic effects of increased visceral or

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Computed Tomographic Assessment of Body Fat in Beagles

Cited by 70 publications

References 4 publications

Canine body composition quantification using 3 tesla fat–water MRI

Canine body composition quantification using 3 tesla fat–water MRI

Comparative Investigation of Body Composition in Male Dogs Using CT and Body Fat Analysis Software

Body fat distribution and metabolic consequences — Examination opportunities in dogs

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