Johnston P R, Kilpatrick D, Li C Y
School of Science, Griffith University, Nathan, Queensland 41 11, Australia.
IEEE Trans Biomed Eng. 2001 Dec;48(12):1366-76. doi: 10.1109/10.966596.
In this paper, a simple mathematical model of a slab of cardiac tissue is presented in an attempt to better understand the relationship between subendocardial ischaemia and the resulting epicardial potential distributions. The cardiac tissue is represented by the bidomain model where tissue anisotropy and fiber rotation have been incorporated with a view to predicting the epicardial surface potential distribution. The source of electric potential in this steady-state problem is the difference between plateau potentials in normal and ischaemic tissue, where it is assumed that ischaemic tissue has a lower plateau potential. Simulations with tissue anisotropy and no fiber rotation are also considered. Simulations are performed for various thicknesses of the transition region between normal and ischaemic tissue and for various sizes of the ischaemic region. The simulated epicardial potential distributions, based on an anisotropic model of the cardiac tissue, show that there are large potential gradients above the border of the ischaemic region and that there are dips in the potential distribution above the region of ischaemia. It could be concluded from the simulations that it would be possible to predict the region of subendocardial ischaemia from the epicardial potential distribution, a conclusion contrary to observed experimental data. Possible reasons for this discrepancy are discussed. In the interests of mathematical simplicity, isotropic models of the cardiac tissue are also considered, but results from these simulations predict epicardial potential distributions vastly different from experimental observations. A major conclusion from this work is that tissue anisotropy and fiber rotation must be included to obtain meaningful and realistic epicardial potential distributions.
本文提出了一个简单的心脏组织平板数学模型,旨在更好地理解心内膜下缺血与由此产生的心外膜电位分布之间的关系。心脏组织由双域模型表示,其中纳入了组织各向异性和纤维旋转,以预测心外膜表面电位分布。在这个稳态问题中,电位的来源是正常组织和缺血组织中平台电位的差异,假设缺血组织的平台电位较低。还考虑了无纤维旋转的组织各向异性模拟。针对正常组织和缺血组织之间过渡区域的各种厚度以及缺血区域的各种大小进行了模拟。基于心脏组织各向异性模型的模拟心外膜电位分布表明,在缺血区域边界上方存在大的电位梯度,并且在缺血区域上方的电位分布中存在凹陷。从模拟中可以得出结论,有可能从心外膜电位分布预测心内膜下缺血区域,这一结论与观察到的实验数据相反。讨论了这种差异的可能原因。为了数学上的简单起见,还考虑了心脏组织的各向同性模型,但这些模拟结果预测的心外膜电位分布与实验观察结果有很大不同。这项工作的一个主要结论是,必须纳入组织各向异性和纤维旋转才能获得有意义和现实的心外膜电位分布。