Medical University of Graz, Institute of Biophysics, Graz, Austria.
Medical University of Graz, Institute of Pathophysiology and Immunology, Graz, Austria.
Sci Rep. 2018 Nov 2;8(1):16268. doi: 10.1038/s41598-018-34213-0.
Ultrasound (US) provides the most accurate technique for thickness measurements of subcutaneous adipose tissue (SAT) layers. This US method was recently standardised using eight sites to capture SAT patterning and allows distinguishing between fat and embedded fibrous structures. These eight sites chosen for fat patterning studies do not represent the mean SAT thickness measured all over the body that is necessary for determining subcutaneous fat mass. This was obtained by SAT measurements at 216 sites distributed randomly all over the body. Ten participants with BMI below 28.5kgm and SAT means (from eight sites) ranging from 3 mm to 10 mm were selected. The means from eight sites overestimated the means obtained from 216 sites (i.e. 2160 US measurements in the ten participants); the calibration factor of 0.65 corrects this; standard deviation (SD) was 0.05, i.e. 8%. The SD of the calibration factor transforms linearly when estimating the error range of the whole body's SAT volume (body surface area times the calibrated mean SAT thickness). The SAT masses ranged from 3.2 to 12.4 kg in this group. The standard deviations resulting from solely the calibration factor uncertainty were ±0.3 and ±1.0 kg, respectively. For these examples, the SAT percentages were 4.9(±0.4)% and 13.3(±1.0)%.
超声(US)提供了最准确的技术来测量皮下脂肪组织(SAT)层的厚度。最近,该 US 方法已经标准化,使用八个部位来捕捉 SAT 模式,并能够区分脂肪和嵌入的纤维结构。这八个用于脂肪模式研究的部位并不能代表整个身体的平均 SAT 厚度,这是确定皮下脂肪质量所必需的。这是通过在全身随机分布的 216 个部位进行 SAT 测量来获得的。选择了 10 名 BMI 低于 28.5kgm 且 SAT 平均值(来自八个部位)在 3mm 至 10mm 之间的参与者。八个部位的平均值高估了从 216 个部位获得的平均值(即 10 名参与者中的 2160 次 US 测量);校准系数 0.65 可以纠正这种情况;标准差(SD)为 0.05,即 8%。当估计整个身体的 SAT 体积(体表面积乘以校准后的平均 SAT 厚度)的误差范围时,校准因子的 SD 呈线性变换。在该组中,SAT 质量范围从 3.2 到 12.4kg。仅由校准因子不确定性引起的标准差分别为±0.3 和±1.0kg。对于这些示例,SAT 百分比分别为 4.9(±0.4)%和 13.3(±1.0)%。