Gorring N, Kark L, Simmons A, Barber T
a School of Mechanical and Manufacturing Engineering, University of New South Wales , Sydney , NSW 2052 , Australia.
Comput Methods Biomech Biomed Engin. 2015;18(6):628-34. doi: 10.1080/10255842.2013.826655. Epub 2014 Jan 27.
The prediction of conditions that may result in thrombus formation is a useful application of computational fluid dynamics. A number of techniques exist, based on the consideration of wall shear stress and regions of low blood flow; however, no clear guideline exists for the best practice of their use. In this paper, the sensitivity of each parameter and the specific mechanical forces are explained, before the optimal indicator of thrombosis risk is outlined. An extracorporeal access device cavity provides a suitable geometry to test the methodology. The recommended method for thrombus prediction considers areas with a calculated residence time (RT) and shear strain rate (SSR) thresholds, here set to RT>1 and SSR < 10 s(- 1). Evidence of thrombosis was found for physiological waveforms with an absence of reverse flow, which is expected to 'wash out' the cavity. The predicted thrombosis sites compare well with evidence collected from explanted devices.
预测可能导致血栓形成的情况是计算流体动力学的一个有用应用。基于对壁面剪应力和低血流区域的考虑,存在多种技术;然而,对于其最佳使用方法并没有明确的指导方针。在本文中,在概述血栓形成风险的最佳指标之前,先解释了每个参数的敏感性和特定的机械力。体外接入装置腔提供了一个合适的几何形状来测试该方法。推荐的血栓预测方法考虑具有计算停留时间(RT)和剪切应变率(SSR)阈值的区域,此处设置为RT>1且SSR<10 s(-1)。对于没有逆流的生理波形发现了血栓形成的证据,预计逆流会“冲洗”腔室。预测的血栓形成部位与从植入装置收集的证据比较良好。