Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Louisiana State University, Baton Rouge, LA, 70803, USA.
Med Phys. 2021 Jul;48(7):3654-3664. doi: 10.1002/mp.14829. Epub 2021 Jul 9.
Anthropometry is a method for quantifying body size and shape often used to derive body composition and health risk prediction models. Recent technology advancements led to development of three-dimensional (3D) optical scanners that can overcome most of the limitations associated with manual anthropometric data collection. However, each of the currently available devices offers proprietary measurements that do not match conventional anthropometric definitions. The aim of the current study was to develop and then evaluate the precision and accuracy of new "universal" 3D optical analysis software that calculates digital anthropometric volumes using identical standard landmarks across scanners.
Dual-energy x-ray absorptiometry (DXA) and air displacement plethysmography (ADP) total body and regional volume and fat mass reference measurements and 3D optical scans from two proprietary devices were collected from 356 participants to evaluate the robustness of total body and regional volume and fat mass measurements calculated by the developed software. Linear regression modeling with threefold cross validation was used to evaluate total body and regional fat masses from 3D scans.
Total body and regional volumes measured by DXA and ADP had strong associations with corresponding estimates from the commercial 3D optical scanners coupled with the universal software (e.g., R = 0.98 for Styku and R = 1.00 for SS20, for both DXA and ADP comparisons). Regional body volumes also had strong correlation between DXA and the 3DO scanners (e.g., for arm, leg and trunk, respective R s of 0.75, 0.86, and 0.97 for Styku and 0.79, 0.89, and 0.98 for SS20). Similarly, there were strong associations between DXA- measured total body and regional fat mass and 3D optical estimates calculated by the universal software (e.g., for total body, arm, leg and trunk, respective R s of 0.86, 0.72, 0.77, and 0.88 for Styku and 0.84, 0.76, 0.78, and 0.85 for SS20). Absolute differences in volumes and fat mass between the reference methods and the universal software values revealed underlying proprietary scanner differences that can be improved when designing future devices.
The current study suggests that, when compared against values calculated using DXA and ADP, the universal software was able to measure total and regional body volumes reliably from scans obtained by two different scanners. The universal software, with future refinements, combined with potential optical scanner design improvements, creates new opportunities for developing large multicenter anthropometric databases with uniformly defined body dimensions that can be used for modeling health risks.
Shape Up! Adults Study, NCT0363785.
人体测量学是一种用于量化体型和体型的方法，常用于推导人体成分和健康风险预测模型。最近的技术进步导致了三维（3D）光学扫描仪的发展，这种扫描仪可以克服与手动人体测量数据收集相关的大多数限制。然而，目前可用的每一种设备都提供了专有的测量值，这些测量值与传统的人体测量定义不匹配。本研究的目的是开发一种新的“通用”3D 光学分析软件，并评估其精度和准确性，该软件使用扫描仪之间相同的标准地标来计算数字人体测量体积。
从 356 名参与者中收集双能 X 射线吸收法（DXA）和空气置换体描记法（ADP）全身和区域体积和脂肪量参考测量值以及来自两个专有设备的 3D 光学扫描，以评估由开发软件计算的全身和区域体积和脂肪量的稳健性。使用三倍交叉验证的线性回归模型来评估 3D 扫描的全身和区域脂肪量。
DXA 和 ADP 测量的全身和区域体积与商用 3D 光学扫描仪与通用软件相结合的相应估计值具有很强的相关性（例如，Styku 的 R 值为 0.98，SS20 的 R 值为 1.00，对于 DXA 和 ADP 的比较）。区域身体体积在 DXA 和 3DO 扫描仪之间也有很强的相关性（例如，对于手臂、腿部和躯干，Styku 的 R 值分别为 0.75、0.86 和 0.97，SS20 的 R 值分别为 0.79、0.89 和 0.98）。同样，DXA 测量的全身和区域脂肪量与通用软件计算的 3D 光学估计值之间存在很强的相关性（例如，对于全身、手臂、腿部和躯干，Styku 的 R 值分别为 0.86、0.72、0.77 和 0.88，SS20 的 R 值分别为 0.84、0.76、0.78 和 0.85）。参考方法与通用软件值之间的体积和脂肪质量的绝对差异揭示了潜在的专有扫描仪差异，这些差异可以在设计未来设备时得到改进。
本研究表明，与使用 DXA 和 ADP 计算的值相比，通用软件能够可靠地从两个不同的扫描仪获得的扫描中测量全身和区域体积。通用软件与未来的改进相结合，以及潜在的光学扫描仪设计改进，为开发具有统一定义的身体尺寸的大型多中心人体测量数据库并用于建模健康风险创造了新的机会。
Shape Up！成人研究，NCT0363785。
