Turner R B S, Hepworth G, Wilson K, Tyrrell D, Dunshea F R, Mansfield C S
U-Vet Animal Hospital, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria, 3030, Australia.
Statistical Consulting Centre, University of Melbourne, 139 Barry Street, Carlton, Melbourne, Victoria, 3053, Australia.
BMC Vet Res. 2019 Jan 8;15(1):21. doi: 10.1186/s12917-018-1768-6.
Computed tomography (CT) has been used to estimate body composition and determine tissue distribution in dogs, despite limited validation. This may introduce error into estimates of body composition studies and its effect on health in dogs. Further, the modality has not been validated against dual-energy X-ray absorptiometry (DXA) or over a wide range of dog breeds, ages and sexes. The objective of this study was to validate the use of semi-automated, abdominal volume CT for estimating total body composition of dogs relative to DXA. Twenty-two staff-owned dogs (weighing between 5.1-60 kg) were sedated and underwent full body DXA scan and abdominal CT. Abdominal tissue composition was estimated by CT using semi-automated volume segmentation, over predetermined tissue Hounsfield threshold values. Abdominal tissue composition determined by the various CT threshold ranges was compared to total body composition determined by DXA.
Abdominal tissue composition estimated by CT strongly correlated with the estimates derived from DXA with a small Bland-Altman mean percentage differences in values: total body mass (- 250/2000HU: r = 0.985; - 1.10%); total fat mass (- 250/-25HU: r = 0.981; - 1.90%); total lean tissue mass (- 25/150HU: r = 0.972; 3.47%); and total bone mineral content (150/2000HU: r = 0.900; - 0.87%). Although averaged CT values compared well to DXA analysis, there was moderate variation in the individual predicted values. There was near perfect inter- and intra-observer agreement in segmentation volumes for abdominal fat.
Abdominal volume computed tomography (CT) accurately and reliably estimates total body composition in dogs, but greater variations may be observed in dogs weighing less than 10 kg.
尽管验证有限，但计算机断层扫描（CT）已被用于估计犬类的身体成分并确定组织分布。这可能会给身体成分研究的估计带来误差及其对犬类健康的影响。此外，该方法尚未与双能X线吸收法（DXA）进行验证，也未在广泛的犬种、年龄和性别范围内进行验证。本研究的目的是验证使用半自动腹部容积CT相对于DXA估计犬类全身成分的情况。22只员工拥有的犬（体重在5.1 - 60千克之间）被镇静后进行了全身DXA扫描和腹部CT检查。通过CT使用半自动容积分割法，在预定的组织亨氏阈值范围内估计腹部组织成分。将通过各种CT阈值范围确定的腹部组织成分与通过DXA确定的全身成分进行比较。
CT估计的腹部组织成分与DXA得出的估计值高度相关，数值上的布兰德 - 奥特曼平均百分比差异较小：总体重（-250/2000HU：r = 0.985；-1.10%）；总脂肪量（-250/-25HU：r = 0.981；-1.90%）；总瘦组织量（-25/150HU：r = 0.972；3.47%）；以及总骨矿物质含量（150/2000HU：r = 0.900；-0.87%）。尽管平均CT值与DXA分析结果比较良好，但个体预测值存在适度差异。腹部脂肪分割体积的观察者间和观察者内一致性接近完美。
腹部容积计算机断层扫描（CT）能准确可靠地估计犬类的全身成分，但体重小于10千克的犬可能会观察到更大的差异。
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