Macron Aurélien, Pillet Hélène, Doridam Jennifer, Verney Alexandre, Rohan Pierre-Yves
Institut de Biomécanique Humaine Georges Charpak, Arts et Métiers ParisTech, 151 bd de l'Hôpital, 75013 Paris, France; Univ. Grenoble Alpes, CEA, LETI, CLINATEC, MINATEC Campus, 38000 Grenoble, France.
Institut de Biomécanique Humaine Georges Charpak, Arts et Métiers ParisTech, 151 bd de l'Hôpital, 75013 Paris, France.
J Biomech. 2018 Oct 5;79:173-180. doi: 10.1016/j.jbiomech.2018.08.001. Epub 2018 Aug 22.
The occurrence and management of Pressure Ulcers remain a major issue for patients with reduced mobility and neurosensory loss despite significant improvement in the prevention methods. These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irreversible tissue damage. Estimating the internal mechanical conditions within loaded soft tissues has the potential of improving the management and prevention of PU. Several Finite Element models of the buttock have therefore been proposed based on either MRI or CT-Scan data. However, because of the limited availability of MRI or CT-Scan systems and of the long segmentation time, all studies in the literature include the data of only one individual. Yet the inter-individual variability can't be overlooked when dealing with patient specific estimation of internal tissue loading. As an alternative, this contribution focuses on the combined use of low-dose biplanar X-ray images, B-mode ultrasound images and optical scanner acquisitions in a non-weight-bearing sitting posture for the fast generation of patient-specific FE models of the buttock. Model calibration was performed based on Ischial Tuberosity sagging. Model evaluation was performed by comparing the simulated contact pressure with experimental observations on a population of 6 healthy subjects. Analysis of the models confirmed the high inter-individual variability of soft tissue response (maximum Green Lagrange shear strains of 213 ± 101% in the muscle). This methodology opens the way for investigating inter-individual factors influencing the soft tissue response during sitting and for providing tools to assess PU risk.
尽管预防方法有了显著改进,但压疮的发生和管理仍然是行动不便和神经感觉丧失患者的一个主要问题。这些损伤是由生物级联反应引起的,从组织中的特定机械负荷状态导致不可逆的组织损伤。估计加载软组织内的内部机械状况有可能改善压疮的管理和预防。因此,基于磁共振成像(MRI)或计算机断层扫描(CT)数据,已经提出了几种臀部的有限元模型。然而,由于MRI或CT扫描系统的可用性有限以及分割时间长,文献中的所有研究都只包括一个人的数据。然而,在处理患者特定的内部组织负荷估计时,个体间的变异性不能被忽视。作为一种替代方法,本研究重点关注在非负重坐姿下联合使用低剂量双平面X射线图像、B型超声图像和光学扫描仪采集数据,以快速生成患者特定的臀部有限元模型。基于坐骨结节下垂进行模型校准。通过将模拟接触压力与6名健康受试者群体的实验观察结果进行比较来进行模型评估。对模型的分析证实了软组织反应的高度个体间变异性(肌肉中的最大格林-拉格朗日剪切应变213±101%)。这种方法为研究影响坐姿期间软组织反应的个体间因素以及提供评估压疮风险的工具开辟了道路。