On the prevalence of flow instabilities from high-fidelity computational fluid dynamics of intracranial bifurcation aneurysms

Khan, Muhammad Owais; Arana, Veronica Toro; Najafi, Mehdi; MacDonald, Daniel E.; Natarajan, Thangam; Valen‐Sendstad, Kristian; Steinman, David A.

doi:10.1016/j.jbiomech.2021.110683

Cited by 19 publications

(5 citation statements)

References 36 publications

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“…Although intra-aneurysm flow patterns and hemodynamic quantities depend on the specific geometry (Varble et al, 2016;Wang et al, 2020Wang et al, , 2021aKhan et al, 2021), effects of tissue degradation turn out to be qualitatively similar in all the investigated cases, i.e., for different geometries, degradation intensities, heart rates and blood pressures: at low-WSS sites, degradation leads to a lower TAWSS and at the same time a higher OSI.…”

Section: Discussionmentioning

confidence: 87%

On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations

et al. 2021

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Tissue degradation plays a crucial role in the formation and rupture of aneurysms. Using numerical computer simulations, we study the combined effects of blood flow and tissue degradation on intra-aneurysm hemodynamics. Our computational analysis reveals that the degradation-induced changes of the time-averaged wall shear stress (TAWSS) and oscillatory shear index (OSI) within the aneurysm dome are inversely correlated. Importantly, their correlation is enhanced in the process of tissue degradation. Regions with a low TAWSS and a high OSI experience still lower TAWSS and higher OSI during degradation. Furthermore, we observed that degradation leads to an increase of the endothelial cell activation potential index, in particular, at places experiencing low wall shear stress. These findings are robust and occur for different geometries, degradation intensities, heart rates and pressures. We interpret these findings in the context of recent literature and argue that the degradation-induced hemodynamic changes may lead to a self-amplification of the flow-induced progressive damage of the aneurysmal wall.

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Section: Discussionmentioning

confidence: 87%

On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations

et al. 2021

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“…Haemodynamics also plays a role in the growth and rupture of cerebral aneurysms due to the interaction between flow-induced stresses and cellular function on blood vessel walls. In fact, computational modelling has revealed that a significant proportion of cerebral aneurysms exhibit flow instabilities that lead to high-frequency oscillations even at modest Reynolds numbers of ∼300 (Khan et al 2021). Interestingly, both low and high wall shear stress have been implicated in unfavourable aneurysm progression, with each pathological state being associated with a different vascular response (Shojima et al 2004;Jou et al 2008;Cebral et al 2011;Xiang et al 2011).…”

Section: Cerebral Haemodynamicsmentioning

confidence: 99%

Section: Cerebral Haemodynamicsmentioning

confidence: 99%

Cardiovascular fluid dynamics: a journey through our circulation

Menon,

Hu,

Marsden

2024

Flow

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This article presents a broad overview of the fluid mechanics of the human cardiovascular system. Beginning in the heart, we travel through the main features of our circulation to highlight important functions and diseases where fluid mechanics plays a central role. Of particular focus is the role of computational modelling in uncovering the dynamic flow phenomenon throughout our body, its association with cardiovascular disease mechanisms and progression and its importance in clinical treatment planning. We also emphasize the multiscale nature of the cardiovascular system, and associated challenges. The main aim of this review is to highlight progress and ongoing challenges in our understanding of cardiovascular haemodynamics, as well as the future outlook for translating the current state-of-the-art to widespread clinical application and improved patient outcomes.

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“…Technologies associated with image-based blood flow simulations have evolved significantly over the last decades and some of the technologies are starting to be adapted in clinical applications (Colombo et al 2022;Gutiérrez et al 2021;Khan et al 2021;Marsden 2014;Nørgaard et al 2014;Plitman Mayo et al 2020;Regazzoni et al 2022;Schiavazzi et al 2017;Schollenberger et al 2021;Taylor and Figueroa 2009). The step towards actual clinical applications, however, is still challenging as there is much uncertainty in modeling patient-specific blood flow and pressure using medical image based geometries.…”

Section: Introductionmentioning

confidence: 99%

Tissue-growth-based synthetic tree generation and perfusion simulation

Kim

Rundfeldt²,

Lee³

2023

Biomech Model Mechanobiol

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Biological tissues receive oxygen and nutrients from blood vessels by developing an indispensable supply and demand relationship with the blood vessels. We implemented a synthetic tree generation algorithm by considering the interactions between the tissues and blood vessels. We first segment major arteries using medical image data and synthetic trees are generated originating from these segmented arteries. They grow into extensive networks of small vessels to fill the supplied tissues and satisfy the metabolic demand of them. Further, the algorithm is optimized to be executed in parallel without affecting the generated tree volumes. The generated vascular trees are used to simulate blood perfusion in the tissues by performing multiscale blood flow simulations. One-dimensional blood flow equations were used to solve for blood flow and pressure in the generated vascular trees and Darcy flow equations were solved for blood perfusion in the tissues using a porous model assumption. Both equations are coupled at terminal segments explicitly. The proposed methods were applied to idealized models with different tree resolutions and metabolic demands for validation. The methods demonstrated that realistic synthetic trees were generated with significantly less computational expense compared to that of a constrained constructive optimization method. The methods were then applied to cerebrovascular arteries supplying a human brain and coronary arteries supplying the left and right ventricles to demonstrate the capabilities of the proposed methods. The proposed methods can be utilized to quantify tissue perfusion and predict areas prone to ischemia in patient-specific geometries.

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On the prevalence of flow instabilities from high-fidelity computational fluid dynamics of intracranial bifurcation aneurysms

Cited by 19 publications

References 36 publications

On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations

On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations

Cardiovascular fluid dynamics: a journey through our circulation

Tissue-growth-based synthetic tree generation and perfusion simulation

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