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Evaluation of microstructurally motivated constitutive models to describe age-dependent tendon healing

机译:基于微观结构动机的组织型模型评估描述年龄依赖性肌腱愈合

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Tendon injuries are common to all ages. Injured tendons typically do not recover full functionality. The amount and organization of tendon constituents dictate their mechanical properties. The impact of changes in these constituents during (patho)physiologic processes (e.g., aging and healing) are not fully understood. Toward this end, microstructurally motivated strain energy functions (SEFs) offer insight into underlying mechanisms of age-dependent healing. Several SEFs have been adapted for tendon; however, most are phenomenological. Therefore, the aims of this study are: (1) evaluate the descriptive capability of SEFs in age-dependent murine patellar tendon healing and (2) identify a SEF for implementation in a growth and remodeling (G&R) model. To accomplish these aims, models were fitted to patellar tendon tensile data from multiple age groups and post-injury timepoints. Model sensitivity to parameters and the determinability of the parameters were assessed. A two-way analysis of variance was used to identify changes in parameters and the feasibility of implementing each model into a G&R model is discussed. The evaluated SEFs exhibited adequate descriptive capability. Parameter determinability and sensitivity analysis, however, highlighted the need for additional data to inform and validate the models to increase physiologic relevance and enable G&R model formulation to determine underlying mechanisms of age-dependent healing. This work, as a first, evaluated changes in tendon mechanical properties both as functions of age and injury in an age-dependent manner using microstructurally motivated models, highlights inherent dependencies between parameters of widely used hyperelastic models, and identified unique post-injury behavior by the aging group compared to the mature and aged groups.
机译:肌腱伤害对所有年龄段都是共同的。受伤的肌腱通常不会恢复全功能。肌腱成分的数量和组织决定了它们的机械性能。这些成分在(Patho)生理过程(例如,老化和愈合)期间的影响不完全理解。朝向这个目的,微观结构动机的应变能量函数(SEFS)提供了对年龄依赖性愈合的潜在机制的洞察。几个SEF已经适用于肌腱;然而,大多数是现象学。因此,本研究的目的是:(1)评估SEFS在年龄依赖性鼠髌腱愈合中的描述性能力,(2)鉴定SEF以进行生长和重塑(G&R)模型的实施。为了完成这些目标,模型适用于来自多个年龄组和损伤后的时间点的髌骨肌腱拉伸数据。评估了参数的模型敏感性和参数的确定性。讨论了对方差的双向分析来识别参数的变化,并讨论将每个模型实施到G&R模型中的可行性。评估的SEFS表现出足够的描述性能力。然而,参数确定性和灵敏度分析突出了需要额外的数据来通知和验证模型以增加生理相关性并使G&R模型制定能够确定依赖年龄依赖性愈合的基础机制。这项工作作为第一种评估肌腱机械性能的评价变化,既有年龄依赖性方式使用微结构动机模型的年龄依赖性方式,均依赖于年龄依赖性方式,突出了广泛使用的超弹性模型参数之间的固有依赖性,并确定了独特的伤后行为衰老组与成熟和老年的组相比。

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