In silico modeling of tibial fatigue life in physically active males and females during different exercise protocols
In silico modeling of tibial fatigue life in physically active males and females during different exercise protocols
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DOI：
10.1088/2057-1976/ac62ff
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发表时间：
2022-04
影响因子：
1.4
通讯作者：
Elliot Paul;Anup D. Pant;S. George;J. Willson;S. Meardon;A. Vahdati
中科院分区：
文献类型：
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作者：
Elliot Paul;Anup D. Pant;S. George;J. Willson;S. Meardon;A. Vahdati
预防骨应力损伤（BSI）需要深入了解病情的根本原因和风险因素。步态力学的特定对象计算机建模研究，包括跑步速度、步幅和着陆模式的变化对胫骨应力损伤形成的影响，可以为BSI预防提供重要的见解。本研究的目的是通过计算研究不同的运动方案对男性和女性跑步者在长时间步行和以三种不同速度跑步时胫骨疲劳寿命的影响。为了实现这些目标，我们结合了特定主题的磁共振成像（MRI），步态数据，有限元分析和疲劳寿命预测算法，包括修复和适应的影响。该算法预测在活动的前40天内发生BSI的可能性急剧增加。在模拟的6名受试者中，有5名受试者的跑步速度越快，胫骨应变越大，失败概率越高。我们的模拟还表明，女性受试者在所有四种步态条件下的平均峰值失败概率高于研究的男性受试者。本研究中使用的方法可以为更大人群的研究以及患者特定的临床工具和决策支持系统奠定基础，以减少运动员，军事人员和其他活跃个体的BSI。
Preventing bone stress injuries (BSI) requires a deep understanding of the condition’s underlying causes and risk factors. Subject-specific computer modeling studies of gait mechanics, including the effect of changes in running speed, stride length, and landing patterns on tibial stress injury formation can provide essential insights into BSI prevention. This study aimed to computationally examine the effect of different exercise protocols on tibial fatigue life in male and female runners during prolonged walking and running at three different speeds. To achieve these aims, we combined subject-specific magnetic resonance imaging (MRI), gait data, finite element analysis, and a fatigue life prediction algorithm, including repair and adaptation’s influence. The algorithm predicted a steep increase in the likelihood of developing a BSI within the first 40 days of activity. In five of the six subjects simulated, faster running speeds corresponded with higher tibial strains and higher probability of failure. Our simulations also showed that female subjects had a higher mean peak probability of failure in all four gait conditions than the male subjects studied. The approach used in this study could lay the groundwork for studies in larger populations and patient-specific clinical tools and decision support systems to reduce BSIs in athletes, military personnel, and other active individuals.