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首页> 外文期刊>Journal of Biomechanics >Computational modeling of blood flow steal phenomena caused by subclavian stenoses
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Computational modeling of blood flow steal phenomena caused by subclavian stenoses

机译：亚克拉夫狭窄造成血流窃取现象的计算模型

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摘要

The study of steal mechanisms caused by vessel obstructions is of the utmost importance to gain understanding about their pathophysiology, as well as to improve diagnosis and management procedures. The goal of this work is to perform a computational study to gain insight into the hemodynamic forces that drive blood flow steal mechanisms caused by subclavian artery stenosis. Such condition triggers a flow disorder known as subclavian steal. When this occurs in patients with internal thoracic artery anastomosed to the coronary vessels, the phenomenon includes a coronary-subclavian steal. True steal can exist in cases of increased arm blood flow, potentially resulting in neurological complications and, in the case of coronary-subclavian steal, graft function failure. In this context, the anatomically detailed arterial network (ADAN) model is employed to simulate subclavian steal and coronary-subclavian steal phenomena. Model results are verified by comparison with published data. It is concluded that this kind of model allows us to effectively address complex hemomdynamic phenomena occurring in clinical practice. More specifically, in the studied conditions it is observed that a regional brain steal occurs, primarily affecting the posterior circulation, not fully compensated by the anterior circulation. In the case of patients with coronary revascularization, it is concluded that there is a large variability in graft hemodynamic environments, which physically explain both the success of the procedure in cases of severe occlusive disease, and the reason for graft dysfunction in mildly stenosed left anterior descending coronary artery, due to alternating graft flow waveform signatures. (C) 2016 Elsevier Ltd. All rights reserved.
机译：船舶障碍引起的盗窃机制研究最重要的是，了解他们的病理生理学，以及改善诊断和管理程序。这项工作的目标是进行计算研究，以深入了解推动亚克拉夫动脉狭窄引起的血流窃取机制的血流动力。这种状态触发了称为锁骨拔窃取的流动障碍。当这种情况发生在患有冠状血管的内部胸腔动脉患者中时，该现象包括冠状动脉锁重窃取。在血流增加的情况下，真正的窃取可以存在，可能导致神经系统并发症，并且在冠状动脉 - 锁骨窃取的情况下，移植函失败。在这种情况下，解剖学上详细的动脉网络（ADAN）模型用于模拟锁骨头窃取和冠状动脉锁窃取现象。通过与已发布数据进行比较验证模型结果。结论是，这种模型使我们能够有效地解决临床实践中发生的复杂血清动力现象。更具体地，在研究的条件下，观察到发生区域脑窃取，主要影响后循环，而不是通过前循环完全补偿。在冠状动脉血运患者的情况下，得出结论，接枝血液动力学环境中存在较大的变化，其在严重闭塞疾病的情况下物理解释程序的成功，以及轻度狭窄的左前方的移植功能障碍的原因降序冠状动脉，由于交替移植流量波形签名。 （c）2016 Elsevier Ltd.保留所有权利。

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