Department of Bioengineering, Imperial College London, London SW72AZ, UK.
Department of Bioengineering, Imperial College London, London SW72AZ, UK; School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China.
Med Eng Phys. 2019 Jul;69:116-122. doi: 10.1016/j.medengphy.2019.04.005. Epub 2019 May 2.
Direct quantification of physiologically-relevant tendon forces can be used in a wide range of clinical applications. However, tendon forces have usually been estimated either indirectly by computational models or invasively using force transducers, and direct non-invasive measurement of forces remains a big challenge. The aim of this study was to investigate the feasibility of using Shear Wave Elastography (SWE) for quantifying human tendon forces at physiological levels. An experimental protocol was developed to measure Shear Wave Speed (SWS) and tensile force in a human patellar tendon using SWE and conventional tensile testing to quantify the correlation between SWS and load. The SWE system was customised to allow imaging of fast shear waves expected in human tendons under physiological loading which is outside the normal range of the existing SWE systems. SWS increased from 10.8 m/s to 36.1 m/s with the increasing tensile load from 8 N to 935 N and a strong linear correlation between SWS and load (r = 0.99, p < 0.01) was observed. The findings in this study suggest that SWE can be used as a potential non-invasive method for direct quantification of physiologically-relevant tendon forces, as well as for validating the estimated forces from other methods such as computational models.
直接定量生理相关的肌腱力可应用于广泛的临床应用中。然而,肌腱力通常通过计算模型间接估计,或通过力传感器侵入性地估计,而直接的非侵入性力测量仍然是一个巨大的挑战。本研究旨在探讨使用剪切波弹性成像(SWE)定量生理水平下人体肌腱力的可行性。开发了一种实验方案,使用 SWE 和常规拉伸测试来测量人髌腱的剪切波速度(SWS)和拉伸力,以量化 SWS 与负载之间的相关性。定制了 SWE 系统,以允许在生理负荷下对人体肌腱中预期的快速剪切波进行成像,这超出了现有 SWE 系统的正常范围。随着拉伸负载从 8N 增加到 935N,SWS 从 10.8m/s 增加到 36.1m/s,并且观察到 SWS 与负载之间的强线性相关性(r=0.99,p<0.01)。本研究的结果表明,SWE 可作为一种潜在的非侵入性方法,用于直接定量生理相关的肌腱力,以及验证来自其他方法(如计算模型)的估计力。