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头部旋转运动学、组织变形及其与急性创伤性轴索损伤的关系。

Head Rotational Kinematics, Tissue Deformations, and Their Relationships to the Acute Traumatic Axonal Injury.

机构信息

Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332.

出版信息

J Biomech Eng. 2020 Mar 1;142(3):0310061-03100613. doi: 10.1115/1.4046393.

Abstract

Head rotational kinematics and tissue deformation metrics obtained from finite element models (FEM) have the potential to be used as traumatic axonal injury (TAI) assessment criteria and headgear evaluation standards. These metrics have been used to predict the likelihood of TAI occurrence; however, their ability in the assessment of the extent of TAI has not been explored. In this study, a pig model of TAI was used to examine a wide range of head loading conditions in two directions. The extent of TAI was quantified through histopathology and correlated to the FEM-derived tissue deformations and the head rotational kinematics. Peak angular acceleration and maximum strain rate of axonal fiber and brain tissue showed relatively good correlation to the volume of axonal injury, with similar correlation trends for both directions separately or combined. These rotational kinematics and tissue deformations can estimate the extent of acute TAI. The relationships between the head kinematics and the tissue strain, strain rate, and strain times strain rate were determined over the experimental range examined herein, and beyond that through parametric simulations. These relationships demonstrate that peak angular velocity and acceleration affect the underlying tissue deformations and the knowledge of both help to predict TAI risk. These relationships were combined with the injury thresholds, extracted from the TAI risk curves, and the kinematic-based risk curves representing overall axonal and brain tissue strain and strain rate were determined for predicting TAI. After scaling to humans, these curves can be used for real-time TAI assessment.

摘要

头旋转运动学和组织变形指标可从有限元模型(FEM)中获得,具有作为创伤性轴索损伤(TAI)评估标准和头盔评估标准的潜力。这些指标已被用于预测 TAI 发生的可能性;然而,它们在评估 TAI 程度方面的能力尚未得到探索。在这项研究中,使用猪 TAI 模型研究了两个方向的多种头加载情况。通过组织病理学对 TAI 的程度进行量化,并与 FEM 衍生的组织变形和头部旋转运动学相关联。轴突纤维和脑组织的峰值角加速度和最大应变速率与轴突损伤的体积显示出相对较好的相关性,对于两个方向单独或组合的相关性趋势相似。这些旋转运动学和组织变形可以估计急性 TAI 的程度。通过实验范围内的参数模拟,确定了头运动学与组织应变、应变率和应变时间应变率之间的关系,超出了实验范围。这些关系表明,峰值角速度和角加速度会影响潜在的组织变形,而对两者的了解有助于预测 TAI 风险。这些关系与损伤阈值相结合,从 TAI 风险曲线中提取出来,根据运动学的总体轴突和脑组织应变和应变速率确定预测 TAI 的风险曲线。在缩放至人类后,这些曲线可用于实时 TAI 评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e33e/7104750/b56b9b8e1c79/bio-19-1515_031006_g001.jpg

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