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在跑步过程中肌腱内的过热能否解释人类跟腱的慢性损伤?

Could intra-tendinous hyperthermia during running explain chronic injury of the human Achilles tendon?

机构信息

Sport, Health and Exercise Science, University of Bath, UK.

出版信息

J Biomech. 2011 Mar 15;44(5):822-6. doi: 10.1016/j.jbiomech.2010.12.015. Epub 2011 Jan 26.

Abstract

Chronic tendinopathy of the human Achilles tendon (AT) is common but its injury mechanism is not fully understood. It has been hypothesised that heat energy losses from the AT during running could explain the degeneration of AT material seen with injury. A mathematical model of AT temperature distribution was used to predict what temperatures the core of the AT could reach during running. This model required input values for mechanical properties of the AT (stiffness, hysteresis, cross-sectional area (CSA), strain during running) which were determined using a combination of ultrasound imaging, kinematic and kinetic data. AT length data were obtained during hopping and treadmill running (12 kmph) using ultrasound images of the medial gastrocnemius (50 Hz) and kinematic data (200 Hz). AT force data were calculated from inverse dynamics during hopping and combined with AT length data to compute AT stiffness and hysteresis. AT strain was computed from AT length data during treadmill running. AT CSA was measured on transverse ultrasound scans of the AT. Mean ± sd tendon properties were: stiffness = 176 ± 41 Nmm(-1), hysteresis =17 ± 12%, strain during running =3.5 ± 1.8% and CSA = 42 ± 8 mm(2). These values were input into the model of AT core temperature and this was predicted to reach at least 41°C during running. Such temperatures were deemed to be conservative estimates but still sufficient for tendon hyperthermia to be a potential cause of tendon injury.

摘要

人类跟腱的慢性腱病(AT)很常见,但它的损伤机制尚未完全了解。有人假设,在跑步过程中,AT 会失去热能,这可以解释在损伤中看到的 AT 物质退化。使用 AT 温度分布的数学模型来预测 AT 核心在跑步过程中可能达到的温度。该模型需要输入 AT 的机械性能(刚度、滞后、横截面积(CSA)、跑步时的应变)的值,这些值是通过超声成像、运动学和动力学数据的组合来确定的。使用内侧腓肠肌的超声图像(50 Hz)和运动学数据(200 Hz),在跳跃和跑步机跑步(12 公里/小时)期间获得 AT 长度数据。从跳跃和结合 AT 长度数据的反向动力学中计算 AT 力数据,以计算 AT 刚度和滞后。在跑步机跑步期间,从 AT 长度数据中计算 AT 应变。在 AT 的横断超声扫描中测量 AT CSA。平均±标准差肌腱特性为:刚度=176±41 Nmm(-1),滞后=17±12%,跑步时的应变=3.5±1.8%和 CSA=42±8 mm(2)。将这些值输入 AT 核心温度模型,预测在跑步过程中至少达到 41°C。这些温度被认为是保守估计,但仍足以使肌腱过热成为肌腱损伤的潜在原因。

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