Aneurysm flow characteristics in realistic carotid artery aneurysm models induced by proximal virtual stenotic plaques: a computational hemodynamics study

Cerebral aneurysms may rarely coexist with a proximal artery stenosis. In that small percent of patients, such coexistence poses a challenge for interventional neuroradiologists and neurosurgeons to make the best treatment decision. According to previous studies, the incidence of cerebral aneurysms in patients with internal carotid artery stenosis is no greater than five percent, where the aneurysm is usually incidentally detected, being about two percent for aneurysms and stenoses in the same cerebral circulation. Those cases pose a difficult management decision for the physician. Case reports showed patients who died due to aneurysm rupture months after endarterectomy but before aneurysm clipping, while others did not show any change in the aneurysm after plaque removal, having optimum outcome after aneurysm coiling. The aim of this study is to investigate the intra-aneurysmal hemodynamic changes before and after treatment of stenotic plaque. Virtually created moderate stenoses in vascular models of internal carotid artery aneurysm patients were considered in a number of cases reconstructed from three dimensional rotational angiography images. The strategy to create those plaques was based on parameters analyzed in a previous work where idealized models were considered, including relative distance and stenosis grade. Ipsilateral and contralateral plaques were modeled. Wall shear stress and velocity pattern were computed from finite element pulsatile blood flow simulations. The results may suggest that wall shear stress changes depend on relative angular position between the aneurysm and the plaque.

[1]  Juan R Cebral,et al.  Computational fluid dynamics modeling of intracranial aneurysms: qualitative comparison with cerebral angiography. , 2007, Academic radiology.

[2]  C M Putman,et al.  Hemodynamic Patterns of Anterior Communicating Artery Aneurysms: A Possible Association with Rupture , 2009, American Journal of Neuroradiology.

[3]  C M Putman,et al.  Hemodynamics and Bleb Formation in Intracranial Aneurysms , 2010, American Journal of Neuroradiology.

[4]  Thomas J. R. Hughes,et al.  Finite element modeling of blood flow in arteries , 1998 .

[5]  Juan R. Cebral,et al.  Cerebrovascular systems with concomitant pathologies:A computational hemodynamics study , 2013 .

[6]  C. Putman,et al.  Flow–area relationship in internal carotid and vertebral arteries , 2008, Physiological measurement.

[7]  M. Castro Understanding the Role of Hemodynamics in the Initiation, Progression, Rupture, and Treatment Outcome of Cerebral Aneurysm from Medical Image-Based Computational Studies , 2013, ISRN radiology.

[8]  C. Putman,et al.  Aneurysm Rupture Following Treatment with Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment , 2010, American Journal of Neuroradiology.

[9]  Juan R Cebral,et al.  Patient-specific computational modeling of cerebral aneurysms with multiple avenues of flow from 3D rotational angiography images. , 2006, Academic radiology.

[10]  D. Liepsch,et al.  Biofluid mechanics. , 1998, Biomedizinische Technik. Biomedical engineering.

[11]  A. Fox,et al.  Small, unruptured intracranial aneurysms and management of symptomatic carotid artery stenosis , 2000, Neurology.

[12]  R W Feldtman,et al.  Collateral cerebral vascular resistance in patients with significant carotid stenosis. , 1982, Stroke.

[13]  J. Womersley Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known , 1955, The Journal of physiology.

[14]  Rainald Löhner,et al.  Blood-flow models of the circle of Willis from magnetic resonance data , 2003 .

[15]  Peter L. Choyke,et al.  Deformable isosurface and vascular applications , 2002, SPIE Medical Imaging.

[16]  V. C. Patel,et al.  Turbulence models for near-wall and low Reynolds number flows - A review , 1985 .

[17]  Rainald Löhner,et al.  Extensions and improvements of the advancing front grid generation technique , 1996 .

[18]  Alejandro F. Frangi,et al.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity , 2005, IEEE Transactions on Medical Imaging.

[19]  Rainald Löhner,et al.  Automatic unstructured grid generators , 1997 .

[20]  J Huston,et al.  Carotid artery tandem lesions: frequency of angiographic detection and consequences for endarterectomy. , 1999, AJNR. American journal of neuroradiology.

[21]  R. Löhner Regridding Surface Triangulations , 1996 .

[22]  Rakesh Shrivastava,et al.  Concomitant Intracranial Aneurysm and Carotid Artery Stenosis: A Therapeutic Dilemma , 2006, Southern medical journal.

[23]  G. Espinosa,et al.  Endovascular treatment of carotid stenosis associated with incidental intracranial aneurysm. , 2009, Annals of vascular surgery.

[24]  Steven H Frankel,et al.  Numerical modeling of pulsatile turbulent flow in stenotic vessels. , 2003, Journal of biomechanical engineering.

[25]  Bruce A. Wasserman,et al.  Low-Grade Carotid Stenosis: Looking Beyond the Lumen With MRI , 2005, Stroke.

[26]  P. Fischer,et al.  Direct numerical simulation of stenotic flows. Part 1. Steady flow , 2007, Journal of Fluid Mechanics.

[27]  H. Adams,et al.  Carotid stenosis and coexisting ipsilateral intracranial aneurysm. A problem in management. , 1977, Archives of neurology.

[28]  T F Sherman,et al.  On connecting large vessels to small. The meaning of Murray's law , 1981, The Journal of general physiology.

[29]  D. Saloner,et al.  Numerical analysis of flow through a severely stenotic carotid artery bifurcation. , 2002, Journal of biomechanical engineering.

[30]  Christopher M. Putman,et al.  Computational analysis of anterior communicating artery aneurysm shear stress before and after aneurysm formation , 2011 .