Diffuse optical spectroscopic method for tissue and body composition assessment.
Diffuse optical spectroscopic method for tissue and body composition assessment.
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DOI：
10.1117/1.jbo.27.6.065002
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发表时间：
2022-06
影响因子：
3.5
通讯作者：
Tromberg, Bruce J.
中科院分区：
文献类型：
--
作者：
Warren, Robert V.;Bar-Yoseph, Ronen;Hill, Brian;Reilly, Drew;Chiu, Abraham;Radom-Aizik, Shlomit;Cooper, Dan M.;Tromberg, Bruce J.
关键词：
不断增长的肥胖和代谢综合征推动了对更高级形式的身体成分评估的需求。虽然存在各种测量身体成分的技术，但设备通常昂贵且不便于携带，涉及辐射[在双能X射线吸收法(DXA)的情况下]，并且仅限于脂肪分析，而不考虑来自血液供应和氧合的代谢信息。我们评估漫反射光谱成像(DOSI)是否可以用于预测特定部位的肥胖度和脂肪百分比(全身)，同时提供有关局部组织血红蛋白水平和氧合的信息。对99名7-34岁的受试者进行了腓肠肌、股四头肌、腹部和二头肌组织成分的DOSI测量，以及股四头肌的DXA全身成分和超声皮肤脂肪组织厚度(SATT)的测量。将DOSI得到的各种参数与SATT进行了关联，并提出了一种利用新定义的参数-光学脂肪分数(OFF)来估计SATT的光学方法，该参数考虑了与SATT相关的所有参数。报告了来自研究参与者的宽带吸收和散射光谱，其中最薄的()和最厚的SATT()分别代表了体内纯粹的瘦组织和脂肪组织的最佳估计。最后，开发了一个训练好的预测模型，该模型允许对OFF进行DOSI评估来预测DXA体脂百分比，证明DOSI可以用于身体成分的量化。本研究表明，DOSI可以用于评估特定组织或整个人体的肥胖度，并定义了OFF参数，为今后的研究提供佐证和进一步评估。
Growing levels of obesity and metabolic syndrome have driven demand for more advanced forms of body composition assessment. While various techniques exist to measure body composition, devices are typically expensive and not portable, involve radiation [in the case of dual-energy x-ray absorptiometry (DXA)], and are limited to analysis of adiposity while metabolic information from blood supply and oxygenation are not considered. We evaluate whether diffuse optical spectroscopic imaging (DOSI) can be used to predict site-specific adiposity and percent fat (whole body) while simultaneously providing information about local tissue hemoglobin levels and oxygenation. DOSI measures of tissue composition in gastrocnemius, quadriceps, abdomen, and biceps, DXA whole-body composition, and ultrasound-derived skin and adipose tissue thickness (SATT) in the quadriceps were obtained from 99 individuals aged 7 to 34 years old. Various DOSI-derived parameters were correlated with SATT and an optical method is proposed for estimating SATT using a newly defined parameter, the optical fat fraction (OFF), which considers all parameters that correlate with SATT. Broadband absorption and scattering spectra from study participants with the thinnest () and thickest SATT (), representing best estimates for pure in vivo lean and fatty tissue, respectively, are reported. Finally, a trained prediction model is developed which allows DOSI assessment of OFF to predict DXA body-fat percentage, demonstrating that DOSI can be used to quantify body composition. This study shows that DOSI can be used to assess the adiposity of specific tissues or the entire human body, and the OFF parameter is defined for corroboration and further evaluation in future research.