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Challenges in Modeling Hemodynamics in Cerebral Aneurysms Related to Arteriovenous Malformations

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Abstract

Purpose

The significantly higher incidence of aneurysms in patients with arteriovenous malformations (AVMs) suggests a strong hemodynamic relationship between these lesions. The presence of an AVM alters hemodynamics in proximal vessels by drastically changing the distal resistance, thus affecting intra-aneurysmal flow. This study discusses the challenges associated with patient-specific modeling of aneurysms in the presence of AVMs.

Methods

We explore how the presence of a generic distal AVM affects upstream aneurysms by examining the relationship between distal resistance and aneurysmal wall shear stress using physiologically realistic estimates for the influence of the AVM on hemodynamics. Using image-based computational models of aneurysms and surrounding vasculature, aneurysmal wall-shear stress is calculated for a range of distal resistances corresponding to the presence of AVMs of various sizes and compared with a control case representing the absence of an AVM.

Results

In the patient cases considered, the alteration in aneurysmal wall shear stress due to the presence of an AVM is considerable, as much as 19 times the base case wall shear stress. Furthermore, the relationship between aneurysmal wall shear stress and distal resistance is shown to be highly geometry-dependent and nonlinear. In most cases, the range of physiologically realistic possibilities for AVM-related distal resistance are so large that patient-specific flow measurements are necessary for meaningful predictions of wall shear stress.

Conclusions

The presented work offers insight on the impact of distal AVMs on aneurysmal wall shear stress using physiologically realistic computational models. Patient-specific modeling of hemodynamics in aneurysms and associated AVMs has great potential for understanding lesion pathogenesis, surgical planning, and assessing the effect of treatment of one lesion relative to another. However, we show that modeling approaches cannot usually meaningfully quantify the impact of AVMs if based solely on imaging data from CT and X-ray angiography, currently used in clinical practice. Based on recent studies, it appears that 4D flow MRI is one promising approach to obtaining meaningful patient-specific flow boundary conditions that improve modeling fidelity.

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Acknowledgments

K.A.S.B. was supported in part by the Lillian Gilbreth Postdoctoral Fellowship from Purdue’s College of Engineering. K.A.S.B. and I.C.C. additionally received partial support from the US National Science Foundation under grant No. CBET-1705637.

Conflict of interest

Kimberly Boster, Tanmay Shidhore, Aaron Cohen-Gadol, Ivan Christov, and Vitaliy Rayz declare that they have no conflict of interest.

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Authors and Affiliations

  1. School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Kimberly A. Stevens Boster, Tanmay C. Shidhore & Ivan C. Christov

  2. Department of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, 46202, USA

    Aaron A. Cohen-Gadol

  3. Weldon School of Biomedical Engineering, School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Vitaliy L. Rayz

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  1. Kimberly A. Stevens Boster
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Boster, K.A.S., Shidhore, T.C., Cohen-Gadol, A.A. et al. Challenges in Modeling Hemodynamics in Cerebral Aneurysms Related to Arteriovenous Malformations. Cardiovasc Eng Tech 13, 673–684 (2022). https://doi.org/10.1007/s13239-022-00609-3

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