颅内动脉瘤破裂的大爆炸理论:通过计算流体力学望远镜观察

B. Sudhir, G. Menon, J. B. Reddy, T. Jayachandran, Hk Jha, C. Kesavadas
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摘要

动脉瘤是血管的囊状突起,通常产生于分支点。它们可能会造成致命的破裂,对健康构成重大威胁。随着医学成像技术的进步,医疗服务的改善和先发制人的医疗检查,未破裂颅内动脉瘤(UIAs)的发生率急剧增加。未破裂颅内动脉瘤破裂风险分层一直是研究者面临的挑战。颅内动脉瘤血流的计算模拟有望使临床医生在颅内动脉瘤的治疗中做出关键的决定。对17例颅内动脉瘤患者的影像学资料进行处理和血流分析。测定并描绘了动脉瘤壁面剪应力、压力分布和速度流线。高壁剪应力区域与进气道冲击部位相关。我喝掉了血。在动脉瘤的三维结构中描绘的流速流线有助于了解入口血流的撞击部位、动脉瘤内的流动模式和漩涡。压力分布模式也与动脉瘤的撞击区相符。本研究使用的方法简单,可重复性好,结果可使临床医生在处理未破裂颅内动脉瘤时做出关键和及时的判断。同化一个更大的基于CFD的颅内动脉瘤模拟数据库将扩大识别具有统计意义的变量的可能性,这些变量可以帮助预测动脉瘤的破裂潜力。
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The Big Bang Theory of Intracranial Aneurysm Rupture: Gazing Through the Computational Fluid Dynamics Telescope
Aneurysms are out-pouchings of blood vessels typically arising at branch points. They pose a significant health risk by a potential to fatal rupture. With advancements in medical imaging, improved access to medical services and preemptive medical check-ups, the pick-up rate of un-ruptured intracranial aneurysms (UIAs) has increased tremendously. Stratification of the risk of rupture of un-ruptured intracranial aneurysms has been a challenge for investigators. Computational simulations of blood flow through aneurysms holds promise to equip clinicians make crucial decisions in the management of intracranial aneurysms. The imaging data of seventeen patients with intracranial aneurysms were processed and flow analyzed. Wall shear stress, pressure distribution and velocity streamlines were determined and depicted on the aneurysm. Areas of high wall shear stress correlated with the impingement sites of inlet. I et of the blood. Flow velocity streamlines depicted within the three-dimensional structure of the aneurysm help understand the impingement site of the inlet blood stream, the flow pattern within the aneurysm and vortices. Pressure distribution patterns also matched impingement zones in the aneurysm. The methodology used in the study is simple and reproducible yielding results to equip clinicians to make crucial and timely judgments in the management of un-ruptured intracranial aneurysms. Assimilation of a larger database of CFD based simulations on intracranial aneurysms will expand the possibility of identifying statistically significant variables which could help predict the rupture potential of aneurysms.
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