Characterization of subcutaneous pelvic adipose tissue morphology and composition at the plane of the ASIS: A retrospective study of living subjects.
Characterization of subcutaneous pelvic adipose tissue morphology and composition at the plane of the ASIS: A retrospective study of living subjects.
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ASIS 平面皮下盆腔脂肪组织形态和成分的表征：对活体受试者的回顾性研究。
DOI：
10.1080/15389588.2022.2133887
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发表时间：
2022
影响因子：
2
通讯作者：
Gayzik,FScott
中科院分区：
文献类型：
--
作者：
Moore,AustinM;Efobi,SamanthaM;Aira,Jazmine;Weaver,AshleyA;Lenchik,Leon;Hsu,Fang-Chi;Gayzik,FScott
大量关于人体模型(HBMS)和尸检受试者(PMHS)的研究发现，有必要更好地描述导致骨盆偏移和随后的潜水的因素，特别是在正面车祸中座椅倾斜的情况下。最近的研究主要集中在模拟腰带与HBMS和PMHS的相互作用或脂肪组织的材料特性，但还没有人利用活体受试者的生物医学图像数据来表征髂前上棘(ASIS)局部组织的形态和结构，这是身体和约束系统相互作用的一个主要点。需要数据为HBMS的形态验证提供信息，也可能用于设计现有人体测量测试设备(ATD)的修改工具包，用于正面车辆碰撞环境或变形功能，目前用于修改参数模型中的车身几何形状。Lebarbe等人。使用PMHS分析了骨盆区域的形态，但这项研究仅限于小样本(nž4)，所有受试者都被归类为肥胖者(Lebarbéet al.2020)。Schick等人。在更大的样本(N PMH114)中分析了形态，然而这项研究同样受到ž的使用的限制(Schick等人。2021年)。鉴于使用HBMS和ATDS来研究与潜水相关的风险，这种替代模型将受益于ASIS在更具可译性的人群中描述皮下脂肪组织(SAT)的数据。
Numerous studies on Human Body Models (HBMs) and Postmortem Human Subjects (PMHS) have identified the need to better characterize the factors that contribute to pelvic excursion and subsequent submarining, particularly in reclined seating scenarios in frontal vehicular crashes. Recent studies have focused on modeling the belt interaction with HBMs and PMHS or material characterization of adipose tissue, but none have utilized biomedical image data from living subjects to characterize the morphology and structure of the tissue local to the anterior superior iliac spine (ASIS), a major point of interaction of the body and restraint system. Data are needed to inform the morphological validation of HBMs, but also potentially for the design of modification kits to existing Anthropometric Test Devices (ATDs) for use in the frontal vehicular crash environment or morphing functions currently used to modify body geometry in parametric models. Lebarbe et al. analyzed the morphology in the pelvic area using PMHS, however the study was limited to a small sample (nž4) and all subjects were categorized as obese (Lebarbé et al. 2020). Schick et al. analyzed morphology in a larger sample (nž114), however the study was similarly limited by the use of PMHS (Schick et al. 2021). Given the use of HBMs and ATDs to study the risks associated with submarining, such surrogate models would benefit from data characterizing subcutaneous adipose tissue (SAT) at ASIS across a more translatable population.