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Finite Element Model Predictions of Intracranial Hemorrhage From Non-impact, Rapid Head Rotations in the Piglet

机译:仔猪无冲击快速头部旋转的颅内出血的有限元模型预测

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摘要

Clinicians are charged with the significant task of distinguishing between accidental and inflicted head trauma. Oftentimes this distinction is straightforward, but many times probabilities of injuries from accidental scenarios are unknown making the differential diagnosis difficult. For example, it is unknown whether intracranial hemorrhage (IH) can occur at a location other than a focal contact site following a low height fall. To create a foundation for predicting regional IH in infants, we sought to identify the biomechanical response and injury threshold best able to predict IH in 3–5 day old piglets. First, finite element (FE) model simulations of in situ animal studies were performed to ascertain the optimal representation of the pia-arachnoid complex, cerebrospinal fluid and cortical vasculature (PCC) for predicting brain strain and brain/skull displacement. Second, rapid head rotations resulting in various degrees of IH were simulated (n = 24) to determine the biomechanical predictor and injury threshold most closely correlated with IH. FE models representing the PCC with either spring connectors or solid elements between the brain and skull resulted in peak brain strain and brain/skull displacement similar to measured values in situ. However, when predicting IH, the spring connector representation of the PCC had the best predictive capability for IH with a sensitivity of 80% and a specificity of 85% when ≥1% of all spring connectors had at least a peak strain of 0.31 mm/mm. These findings and reported methodology will be used in the development of a human infant FE model to simulate real-world falls and identify injury thresholds for predicting IH in infants.
机译:临床医生肩负着区分意外和造成的头部创伤的重大任务。通常,这种区别是很直接的,但是很多时候,由于意外情况造成的伤害概率是未知的,因此很难进行鉴别诊断。例如,高度下降后,颅内出血(IH)是否会发生在除焦点接触部位以外的其他位置,这一点是未知的。为了为预测婴儿的局部IH打下基础,我们寻求确定最能预测3-5日龄仔猪IH的生物力学反应和损伤阈值。首先,进行了原位动物研究的有限元(FE)模型模拟​​,以确定用于预测脑劳损和脑/颅骨移位的最佳的pia-蛛网膜复合体,脑脊液和皮质脉管系统(PCC)的表示形式。其次,模拟导致不同程度的IH的头部快速旋转(n = 24),以确定与IH最相关的生物力学预测因子和损伤阈值。代表PCC的FE模型在大脑和颅骨之间具有弹簧连接器或固体元素,导致峰值脑疲劳和脑/颅骨位移与原位测量值相似。但是,在预测IH时,当所有弹簧连接器的≥1%的峰值应变至少为0.31 mm /时,PCC的弹簧连接器表示对IH的最佳预测能力为80%的灵敏度和85%的特异性。毫米这些发现和报道的方法将用于人类婴儿有限元模型的开发中,以模拟现实世界的跌倒并确定预测婴儿IH的损伤阈值。

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