Effects of abnormal vertebral arteries and the circle of Willis on vertebrobasilar dolichoectasia: A multi-scale simulation study

Liu, Yu; Xinmiao, Zhang; Wang, Yawei; Feng, Wei; Jing, Jing; Zhunjun, Sun; Wang, Bitian; Wang, Yongjun; Fan, Yubo

doi:10.1016/j.clinbiomech.2022.105853

Cited by 2 publications

(4 citation statements)

References 41 publications

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“…Regarding the latter, some studies took in vivo data as an input and modeled the geometry of the intracranial arteries [29,64,125]. Further studies considered the flow from the left ventricle to the brain-supplying arteries as input [11,59,85,114,148].…”

Section: ∂A ∂Tmentioning

confidence: 99%

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Multi-Dimensional Modeling of Cerebral Hemodynamics: A Systematic Review

Korte,

Klopp,

Berg

2024

Bioengineering

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The Circle of Willis (CoW) describes the arterial system in the human brain enabling the neurovascular blood supply. Neurovascular diseases like intracranial aneurysms (IAs) can occur within the CoW and carry the risk of rupture, which can lead to subarachnoid hemorrhage. The assessment of hemodynamic information in these pathologies is crucial for their understanding regarding detection, diagnosis and treatment. Multi-dimensional in silico approaches exist to evaluate these hemodynamics based on patient-specific input data. The approaches comprise low-scale (zero-dimensional, one-dimensional) and high-scale (three-dimensional) models as well as multi-scale coupled models. The input data can be derived from medical imaging, numerical models, literature-based assumptions or from measurements within healthy subjects. Thus, the most realistic description of neurovascular hemodynamics is still controversial. Within this systematic review, first, the models of the three scales (0D, 1D, 3D) and second, the multi-scale models, which are coupled versions of the three scales, were discussed. Current best practices in describing neurovascular hemodynamics most realistically and their clinical applicablility were elucidated. The performance of 3D simulation entails high computational expenses, which could be reduced by analyzing solely the region of interest in detail. Medical imaging to establish patient-specific boundary conditions is usually rare, and thus, lower dimensional models provide a realistic mimicking of the surrounding hemodynamics. Multi-scale coupling, however, is computationally expensive as well, especially when taking all dimensions into account. In conclusion, the 0D–1D–3D multi-scale approach provides the most realistic outcome; nevertheless, it is least applicable. A 1D–3D multi-scale model can be considered regarding a beneficial trade-off between realistic results and applicable performance.

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Section: ∂A ∂Tmentioning

confidence: 99%

“…Yu et al presented 3D models of the vertebral arteries based on MRI with a 0D model of the CoW. The study showed the importance of unequally distributed vertebral arteries on the magnitude of the blood flow [148].…”

Section: Coupling 0d-1d Modelsmentioning

confidence: 99%

Multi-Dimensional Modeling of Cerebral Hemodynamics: A Systematic Review

Korte,

Klopp,

Berg

2024

Bioengineering

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“…This approach was applied to investigate hemodynamic changes in basilar arteries in the presence of abnormal vertebral arteries and structural variances, incorporating both three-dimensional modeling from magnetic resonance images and a lumped parameter model. 248 Additionally, the integration of machine learning techniques with traditional CFD simulations has been prospective. 249−252 In a significant development, physics-informed neural networks (PINNs) have been introduced as an innovative deep learning framework, capable of melding mathematical equations governing blood flow with measurement data.…”

Section: Model Namementioning

confidence: 99%

“…To accurately represent the full spectrum of blood flow, from the cellular scale in capillaries to the macroscale in large arteries, recent research studies have made impressive progress on the development and coupling of multiscale models. − This has led to a more holistic understanding of the blood flow phenomena. This approach was applied to investigate hemodynamic changes in basilar arteries in the presence of abnormal vertebral arteries and structural variances, incorporating both three-dimensional modeling from magnetic resonance images and a lumped parameter model . Additionally, the integration of machine learning techniques with traditional CFD simulations has been prospective. − In a significant development, physics-informed neural networks (PINNs) have been introduced as an innovative deep learning framework, capable of melding mathematical equations governing blood flow with measurement data .…”

Section: Theories and Models Of Biofluid Transportmentioning

confidence: 99%

Characterizing Flow and Transport in Biological Vascular Systems: A Review from Physiological and Chemical Engineering Perspectives

Chen,

Zhu,

Luo

2023

Ind. Eng. Chem. Res.

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The investigation of biological fluidic mechanisms is a persistent topic of interest and offers valuable inspiration to address the challenges confronting chemical engineering, particularly with respect to the obligations of sustainability. Accordingly, given the advancements of multidisciplinary integration and digital transformation, the methodologies in chemical engineering represent potent instruments for characterizing the flow and transport features of biological vascular systems. In this Review, a qualitative explication of common tubular structures and their corresponding biofluid patterns in both vascular plants and humans is provided, grounded in a physiological perspective. Theoretical and numerical models, such as computational fluid dynamics (CFD), in engineering are introduced as effective and efficient prediction and analysis tools for quantitatively characterizing biofluid transport mechanisms, including fluid−structure interactions. Furthermore, typical pathologies resulting from multiphase biofluid dysfunction in vascular organisms are analyzed with physiological and chemical engineering methodologies. The integrated perspective provides an opportunity to extend the fundamental understanding of biological processes and in turn promotes the nature-inspired transformative advancements in the field of chemical engineering.

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Effects of abnormal vertebral arteries and the circle of Willis on vertebrobasilar dolichoectasia: A multi-scale simulation study

Cited by 2 publications

References 41 publications

Multi-Dimensional Modeling of Cerebral Hemodynamics: A Systematic Review

Multi-Dimensional Modeling of Cerebral Hemodynamics: A Systematic Review

Characterizing Flow and Transport in Biological Vascular Systems: A Review from Physiological and Chemical Engineering Perspectives

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