Various anatomical parameters affect on intra-aneurysmal hemodynamics. Nevertheless, how the shapes of real patient aneurysms affect on their intra-aneurysmal hemodynamics remains unanswered.
Methods
Quantitative computational fluid dynamics simulation was conducted using eight patients’ angiograms of internal carotid artery–ophthalmic artery aneurysms. The mean size of the intracranial aneurysms was 11.5 mm (range 5.8 to 19.9 mm). Intra-aneurysmal blood flow velocity and wall shear stress (WSS) were collected from three measurement planes in each aneurysm dome. The correlation coefficients (r) were obtained between hemodynamic values (flow velocity and WSS) and the following anatomical parameters: averaged dimension of aneurysm dome, the largest aneurysm dome dimension, aspect ratio, and dome–neck ratio.
Results
Negative linear correlations were observed between the averaged dimension of aneurysm dome and intra-aneurysmal flow velocity (r = −0.735) and also WSS (r = −0.736). The largest dome diameter showed a negative correlation with intra-aneurysmal flow velocity (r = −0.731) and WSS (r = −0.496). The aspect ratio demonstrated a weak negative correlation with the intra-aneurysmal flow velocity (r = −0.381) and WSS (r = −0.501). A clear negative correlation was seen between the intra-aneurysmal flow velocity and the dome–neck ratio (r = −0.708). A weak negative correlation is observed between the intra-aneurysmal WSS and the dome–neck ratio (r = −0.392).
Conclusion
The aneurysm dome size showed a negative linear correlation with intra-aneurysmal flow velocity and WSS. Wide-necked aneurysm geometry was associated with faster intra-aneurysmal flow velocity.
Hinweise
A part of the results of the present study was presented at the 5th Annual Meeting of the Society of Neuro-interventional Surgery, Olympic Valley, CA, in 2008.
Introduction
Anatomical parameters of intracranial aneurysms such as aneurysm shape, size, and location clearly correlate with their natural progressions [1‐4]. In general, the risk of aneurysm rupture greatly increases as an intracranial aneurysm becomes larger [4]. Past clinical studies also raised a possibility that there was a difference in the aneurysm shape between ruptured and unruptured intracranial aneurysms [1‐3]. The International Study on Unruptured Intracranial Aneurysms and many other clinical reports have indicated that the risk of aneurysm rupture varies in anterior and posterior circulations [4, 5].
Intra-aneurysmal hemodynamics is believed to be another important factor related to the etiology and natural history of intracranial aneurysms. Consequently, a variety of intra-aneurysmal hemodynamic studies have been published in the last decade [6‐9]. Recent hemodynamic studies of intracranial aneurysms use patient-specific radiographic data, since the geometry of a parent artery and aneurysm itself significantly affect the hemodynamic result. A few studies with the use of patient-specific data have successfully demonstrated statistically significant differences in intra-aneurysmal hemodynamic patterns between ruptured and unruptured intracranial aneurysms [6, 7]. However, many past hemodynamic studies included intracranial aneurysms with different anatomical parameters (size, shape, and location), which might have obscured the true hemodynamic differences between ruptured and unruptured aneurysms or between stable and unstable aneurysms.
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Various anatomical parameters affect on the intra-aneurysmal hemodynamics. Nevertheless, a basic question that how the shapes of real patient aneurysms affect on their intra-aneurysmal hemodynamics remains unanswered. Such basic knowledge would greatly help to deeply understand the effect of intra-aneurysmal hemodynamics on the natural history, considering the fact that different size aneurysms carry different rupture risks. In the present study, we examined the hemodynamic characteristics of intracranial aneurysms from a single anatomical location and evaluated the effect of aspect ratio, aneurysm dome size, and dome–neck ratio on the intra-aneurysmal hemodynamics.
Materials and methods
Case selection
Internal carotid artery–ophthalmic artery (ICA–Oph) aneurysms, which are categorized as side-wall aneurysm, are selected for this hemodynamics simulation study. ICA–Oph aneurysm cases from the three-dimensional (3D) digital subtraction angiography database at the Division of Interventional Neuroradiology, Ronald Reagan UCLA Medical Center were reviewed by interventional neuroradiologists (FV and ST). Only good-quality angiogram (sufficient contrast opacification of all major branches and no patient motions) was considered for the selection of this study. Aneurysms with intraluminal thrombus were excluded from the selection. Ruptured aneurysms with an irregularly shaped sac with contrast stagnation in the sac were also excluded from the selection, since such an aneurysm may have a pseudoaneurysm component in its dome [10]. If a parent artery vasospasm was observed, the case was also excluded from the selection. Moreover, the case with a fetal-type posterior cerebral artery and posterior communicating artery was excluded due to the complexity of outlet flow condition. Thus, eight ICA–Oph aneurysms were selected from the database. There were three ruptured aneurysms and five unruptured aneurysms. Three dimensions of the aneurysm dome (anterior-to-posterior, width, and craniocaudad directions) with the largest size of the aneurysm neck were measured by the interventional neuroradiologists (FV and ST) using the Philips Integris workstation (Philips Medical Systems, Best, The Netherlands). The mean size of the eight ICA–Oph aneurysms was 11.5 mm (range 5.8 to 19.9 mm). The 3D rotational cerebral angiograms were obtained using a Philips Integris unit (Philips Medical Systems, Best, The Netherlands). Data from those images were transferred to the Philips Integris workstation for 3D voxel generation and image restoration.
Computational fluid dynamics simulation
The 3D voxel data obtained by rotational angiography were then transferred to a Dell 490 hemodynamic analysis workstation in our division. Image-based computational fluid dynamics (CFD) software developed by the Department of Computational Sciences, George Mason University, was utilized for aneurysm flow simulation [6, 7]. The 3D computational model was constructed semiautomatically through segmentation, surface generation, and 3D grid generation for each ICA–Oph aneurysm. The internal carotid artery was reconstructed from the level of the bony carotid canal to the bifurcation of the anterior and middle cerebral arteries. Ophthalmic artery was reconstructed in all cases. Since cases with a large posterior communicating artery were excluded from this study, posterior communicating artery and anterior choroidal artery were not reconstructed.
Normal pulsatile flow conditions acquired from a healthy subject using magnetic resonance phase-contrast measurement (General Electric 1.5 T scanner, Waukesha, WI) were imposed on the CFD simulation [6]. The unsteady incompressible Navier–Stokes equations were implemented and solved under the Newtonian fluid assumption. Blood was assumed to have uniform viscosity of 0.004 Pa s. Since the accurate information on the pulsatile aneurysm wall motion was not available in 3D rotational angiography, the rigid and no-slip boundary condition was assumed for the aneurysm wall in this CFD study [6‐8].
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Quantitative hemodynamic analysis
In order to perform a quantitative hemodynamic analysis, intra-aneurysmal blood flow velocity and wall shear stress (WSS) were collected from three measurement planes in each aneurysm: planes crossing the aneurysm dome at the level of the aneurysm neck, middle, and top (Fig. 1). The value of intra-aneurysmal flow velocity and WSS in each aneurysm was defined by averaging the flow velocity and WSS data from all of the three measurement planes. The correlation coefficients (r) were obtained by a biostatistician (JS) between the hemodynamic values and the following anatomical parameters: averaged dimension of aneurysm dome, the largest aneurysm dome dimension, aneurysm dome aspect ratio, and dome–neck ratio.
Fig. 1
Schematic representation of planes for the quantitative analyses. Three planes in the aneurysm sac were leveled at the neck (A1), the middle (A2), and the top (A3) of the aneurysm to divide the aneurysm sac into three equal portions
×
The averaged dimension of the aneurysm dome was defined as an averaged value of anterior-to-posterior, transverse, and craniocaudad dimensions. The aneurysm aspect ratio was defined as aneurysm craniocaudad dimension divided by transverse or anterior-to-posterior dimension, whichever larger. The dome–neck ratio was given as aneurysm width or anterior-to-posterior dimension, whichever larger, divided by the largest aneurysm neck dimension.
Results
The general characteristics of the hemodynamics patterns in the eight ICA–Oph aneurysms are shown in Fig. 2. This CFD study of patients’ aneurysm at a single location shows some correlation between the intra-aneurysmal hemodynamics and such factors as aneurysm diameter, aspect ratio, and dome–neck ratio. Particularly, the averaged values of intra-aneurysmal flow velocity and WSS tend to become smaller as the aneurysm size becomes larger (Fig. 2). In fact, there are negative linear correlations between intra-aneurysmal flow velocity and the averaged dimension of aneurysm dome (correlation coefficient: r = −0.735) and also WSS (r = −0.736; Fig. 3a, b). There is also a negative linear correlation seen between the intra-aneurysmal flow velocity and the largest aneurysm dimension (r = −0.731; Fig. 3c). There is a weak negative correlation between the intra-aneurysmal WSS and the largest aneurysm dimension with correlation coefficient of −0.496 (Fig. 3d).
Fig. 2
The general characteristics of the hemodynamics patterns in eight ICA–Oph aneurysms. Blood flow stream line and WSS during peak systolic phase are presented in each ICA–Oph aneurysm. In the stream line pictures, a red color line indicates faster flow, and a blue one means slower flow. In the WSS distribution pictures, area in red color indicates higher WSS, and area in blue means lower WSS
Fig. 3
a–h Correlation between the aneurysm shape (dome diameter, aspect ratio, and dome–neck ratio) and flow parameters (velocity and WSS). The number in the right upper corner indicates the correlation coefficients (r). a Correlation between averaged aneurysm dome dimension and velocity, b between averaged aneurysm dome dimension and WSS, c between the largest dome diameter and velocity, d between the largest dome diameter and WSS, e between aspect ratio and velocity, f between aspect ratio and WSS, g between dome–neck ratio and velocity, and h between dome–neck ratio and WSS
×
×
The aspect ratio of the aneurysm dome does not show a strong correlation with the intra-aneurysmal flow condition. Some weak negative correlations are observed between the aneurysm aspect ratio and intra-aneurysmal flow velocity (r = −0.381) and WSS (r = −0.501; Fig. 3e, f). There is a clear negative linear correlation between the intra-aneurysmal flow velocity and the dome–neck ratio (r = −0.708; Fig. 3g). In other words, there is a positive linear correlation between the relative size of aneurysm neck and intra-aneurysmal flow velocity. Although wide-necked aneurysms (smaller dome–neck ratio) show a faster intra-aneurysmal flow condition, there is only a weak negative correlation observed between the intra-aneurysmal WSS and the dome–neck ratio (r = −0.392; Fig. 3h).
Discussions
We studied the relationship between the shape of intracranial aneurysms and the intra-aneurysmal hemodynamic parameters in a single anatomical location using actual patients’ computed tomography angiograms. The result of this study showed that the intra-aneurysmal hemodynamics was significantly affected by such anatomical factors as aneurysm diameter, aspect ratio, and dome–neck ratio. By eliminating other anatomical factors such as aneurysm location, we could demonstrate a clear trend that the intra-aneurysmal blood flow was slower, and the averaged value of intra-aneurysmal WSS was lower in the larger aneurysms. In addition, our study showed that there was a weak correlation between the aspect ratio of the aneurysm dome and the intra-aneurysmal hemodynamic values. Some clinical studies found that the aspect ratio of the aneurysm dome was higher in the ruptured aneurysms than that in the unruptured aneurysms [1, 3]. Therefore, when a researcher conducts a hemodynamic comparison study in rupture and unruptured aneurysms in order to investigate the hemodynamic risks of aneurysm rupturing, it is critical to match the size of the aneurysms in both groups as well as aspect ratio and dome–neck ratio. Otherwise, such a pre-existing condition, which is the difference in the shape and size of intracranial aneurysms between ruptured and unruptured aneurysm groups, may create a false hemodynamics difference and leads to a false conclusion.
It is not clear whether high shear stress, low shear stress, or high shear stress gradient is associated with the aneurysm wall degeneration [7‐9, 11, 12]. Furthermore, it is still controversial whether WSS per se plays a role in the natural history of intracranial aneurysms or not. The result of this study indicates that the larger aneurysms, which is known to carry a higher risk of rupture, showed lower intra-aneurysmal WSS values. Although it does not directly denote that the low WSS induces the aneurysm rupturing, the low shear condition may be associated with the process of the degeneration of aneurysm walls. A hemodynamic and histopathological comparison study of a large number of ruptured and unruptured aneurysm cases with similar size ranges and shapes in both ruptured and unruptured groups will reveal the true contribution of WSS to the natural progression of intracranial aneurysm. An immunocytochemical/histopathological study of intracranial aneurysms demonstrates that larger aneurysms develop more advanced atherosclerotic lesions on the aneurysm walls than smaller aneurysms [13]. Given that a lower value of WSS is a well-known predisposing factor of atherosclerosis plaque in such arteries as carotid bulb, coronary artery, and aorta, lower WSS in larger intracranial aneurysms may explain the reason why lager aneurysms tend to have more advanced atherosclerotic lesions on them [13‐15].
Our study showed an interesting correlation that the intra-aneurysmal blood flow was faster as the aneurysm neck was wider. A larger blood flow inlet relative to the volume of the aneurysm dome in a wide-necked aneurysm may be associated with this finding. Although a major factor for the higher recanalization rate after coil embolization of small/wide-necked aneurysm is an insufficient packing of embolic materials, faster intra-aneurysmal blood flow may also contribute to it [16]. The long-term durability of coil embolization in wide-necked aneurysms seems to be better with the use of self-expandable intracranial aneurysm stents such as Neuroform and Enterprise [16‐19]. Again, the primary reason for that must be due to an enhanced packing density with stent assists. However, flow velocity reduction after the placement of aneurysm stents in wide-necked aneurysms may also contribute to the better long-term results [20].
The relationship between aneurysm dome aspect ratio and intra-aneurysmal hemodynamics has been studied in the past [21]. The current study failed to reveal a strong correlation between aspect ratio and such hemodynamic parameters as averaged intra-aneurysmal flow velocity and WSS. Since a higher aspect ratio is known to be associated with a secondary circulation zone in the deeper part of the aneurysm dome, it may correlate with blood flow structure rather than quantitative intra-aneurysmal hemodynamic values [21].
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One of the limitations of this study is the fact that it is conducted in a single location. Since aneurysms at a different location may have different hemodynamic characteristics, similar hemodynamic studies in different anatomical locations are mandatory. Creation of a research consortium among centers of excellence in intracranial aneurysm is necessary for a larger hemodynamics study with a large number of aneurysms in each intracranial aneurysm location.
Conclusions
A quantitative CFD analysis was conducted in eight ICA–Oph aneurysms with various geometries. The intra-aneurysmal hemodynamics was significantly affected by such factors as aneurysm diameter, aspect ratio, and dome–neck ratio. The size of the aneurysm dome showed a negative linear correlation with intra-aneurysmal flow velocity and WSS. Wide-necked aneurysm geometry was associated with faster intra-aneurysmal flow velocity.
Conflict of interest
None
Open Access
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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