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Dual-energy X-ray absorptiometry–based body volume measurement for 4-compartment body composition

机译:基于双能X线骨密度仪的人体体积测量用于4室人体组成

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摘要

>Background: Total body volume (TBV), with the exclusion of internal air voids, is necessary to quantify body composition in Lohman's 4-compartment (4C) model.>Objective: This investigation sought to derive a novel, TBV measure with the use of only dual-energy X-ray absorptiometry (DXA) attenuation values for use in Lohman's 4C body composition model.>Design: Pixel-specific masses and volumes were calculated from low- and high-energy attenuation values with the use of first principle conversions of mass attenuation coefficients. Pixel masses and volumes were summed to derive body mass and total body volume. As proof of concept, 11 participants were recruited to have 4C measures taken: DXA, air-displacement plethysmography (ADP), and total body water (TBW). TBV measures with the use of only DXA (DXA-volume) and ADP-volume measures were compared for each participant. To see how body composition estimates were affected by these 2 methods, we used Lohman's 4C model to quantify percentage fat measures for each participant and compared them with conventional DXA measures.>Results: DXA-volume and ADP-volume measures were highly correlated (R2 = 0.99) and showed no statistically significant bias. Percentage fat by DXA volume was highly correlated with ADP-volume percentage fat measures and DXA software-reported percentage fat measures (R2 = 0.96 and R2 = 0.98, respectively) but were slightly biased.>Conclusions: A novel method to calculate TBV with the use of a clinical DXA system was developed, compared against ADP as proof of principle, and used in Lohman's 4C body composition model. The DXA-volume approach eliminates many of the inherent inaccuracies associated with displacement measures for volume and, if validated in larger groups of participants, would simplify the acquisition of 4C body composition to a single DXA scan and TBW measure.
机译:>背景:在Lohman的4舱(4C)模型中,必须通过总身体体积(TBV)(不包括内部空隙)来量化身体成分。>目的:研究试图通过仅使用双能量X射线吸收法(DXA)衰减值来得出新颖的TBV测量值,以用于Lohman的4C人体成分模型。>设计:特定于像素的质量和体积使用质量衰减系数的第一原理转换,从低能量衰减值和高能量衰减值中计算得出。将像素质量和体积相加,得出体重和总体积。作为概念验证,招募了11名参与者采取了4C措施:DXA,空气体积体积描记法(ADP)和全身水(TBW)。对每个参与者仅使用DXA(DXA量)和ADP量量的TBV量度进行了比较。为了了解这两种方法对身体成分估计的影响,我们使用Lohman的4C模型量化每个参与者的脂肪测量百分比,并将其与传统DXA测量进行比较。>结果::DXA量和ADP量量度之间具有高度相关性(R 2 = 0.99),并且没有统计学上的显着偏差。 DXA体积百分比脂肪与ADP体积百分比脂肪度量和DXA软件报告的百分比脂肪度量高度相关(分别为R 2 = 0.96和R 2 = 0.98) >结论:开发了一种使用临床DXA系统计算TBV的新方法,并与ADP进行了比较,作为原理证明,并用于Lohman的4C人体成分模型。 DXA-体积方法消除了许多与体积测量相关的固有误差,并且如果在较大的参与者组中得到验证,则可以通过一次DXA扫描和TBW测量简化4C人体成分的获取。

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