新鲜冷冻尸体44条指侧神经的生物力学特性

Santiago Salazar Botero , Sophie Honecker , Hamdi Jmal , Nadia Bahlouli , Philippe A. Liverneaux , Sybille Facca
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引用次数: 1

摘要

如今,神经修复和再生仍然令人失望。尽管有了巨大的转变和技术进步,神经修复的临床效果仍然很差。本研究从材料的角度分析了人指侧神经的生物力学特征,为神经修复提供了技术指标图。取44根人指侧神经,浸泡在0.9% NaCl溶液中保存至检测。它们都以相同的方式安装和定向,并以6 mm/min的速度拉动。拉伸试验后,用比重计测量密度。计算了最大应力、最大应变、杨氏模量、密度、比应力和比模量。所得结果见表1。我们没有发现手指之间有统计学上的显著差异。密度与神经生物力学无统计学相关性。Goldberg等人是唯一对人类数字侧支神经生物力学做出明智描述的作者。他们发现了不同的结果可能是不同的拉伸测试设置。在他们的工作中发现的裂缝带与我们的工作相比是相反的。周围神经的生物力学特征与指侧神经一样具有弥散性。密度不能使值均匀化,因为它很少或缺乏与人指侧神经的生物力学特性的相关性。总之,这项研究提出了一个完整的光谱值表征人类指侧神经。该数据可用于了解人体指侧神经生物力学,建立模型,优化神经修复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The biomechanical properties of 44 human digital collateral nerves from fresh frozen cadavers

Nerve repair and regeneration continue to be disappointing nowadays. Despite big transformations and technical progress, we still have bad clinical results from nerve repair. This study offers a materials point of view of the human digital collateral nerve biomechanical characteristics to create a technical specifications chart for nerve repair.

Forty-four human digital collateral nerves were harvested, preserved immersen in NaCl 0.9% solution until tested. They were all mounted and oriented same way and they were pulled at 6 mm/min. Density was measured with a pycnometer after the tensile test. The values of maximum stress, maximum strain, Young Modulus, density, specific stress and specific modulus were calculated.

The obtained results are presented in Table I. We did not find statistically significant differences between fingers. Density has a not statistical correlation with nerve biomechanics.

Goldberg et al. were the unique authors to make a judicious characterization of human digital collateral nerves biomechanics. They found different results perhaps a different tensile test setup. The fracture zone found in their work was inverted compared to our work. The biomechanical characteristics of peripheral nerves have a lot of dispersion as digital collateral nerves have. Density cannot homogenize the values because of its little or lack of correlation with the biomechanical properties of human digital collateral nerves.

In conclusion, this study presented a complete spectra of values to characterize human digital collateral nerves. This data could be used to understand human digital collateral nerves biomechanics create models, and optimize nerve repair.

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