Improved biomechanical metrics of cerebral vasospasm identified via sensitivity analysis of a 1D cerebral circulation model

Melis, Alessandro; Moura, Fernando Silva de; Larrabide, Ignacio; Janot, Kévin; Clayton, Richard H.; Narata, Ana Paula; Marzo, Alberto

doi:10.1016/j.jbiomech.2019.04.019

Cited by 11 publications

(26 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As in 0D models, some 1D models applied in-vivo data [28,30,[40][41][42] while the majority 1D models still need invivo validation [3,8,27,28,31,[34][35][36][37][38][39]43]. 1D fractal arterial trees could be applied as the outlets of intracranial arteries [30].…”

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

“…1D models present the transmission of pulse wave in CoW. Related physiological phenomena could be simulated: the multiple stenosis in intracranial arteries [42], the effects of arterial occlusion [33,34] or abnormal structure of CoW [39] on intracranial blood flow, the effect of distal flow resistances on the collateral flow pattern in normal CoW [35], the collateral flow patterns in dysplastic CoW [3], the detection of cerebral vasospasm [43], the estimation of intracranial pressure from cerebral blood flow velocity and blood pressure [41], the aging effect on cerebral blood flow [37], and the pharmacokinetics in the intracranial arteries [36].…”

Section: ) Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

et al. 2020

View full text Add to dashboard Cite

Background: Various computational models of the circle of Willis (CoW) have been developed to non-invasively estimate the blood flow and hemodynamic parameters in intracranial arteries for the assessment of clinical risks such as aneurysms, ischemia, and atherosclerotic plaque growth. This review aims to categorize the latest computational models of CoW and summarize the innovative techniques. Summary of Review: In traditional computational models of CoW, the computational complexity increased from zero-dimensional models to one-dimensional and three-dimensional models. The applications extend from estimating certain hemodynamic parameters to simulating local flow field. The innovative techniques include the combination of models with different dimensions, the extension of vascular structure including heart and veins, as well the addition of distal fractality, cerebral autoregulation, and intracranial pressure. There are some nontraditional models based on fluid-solid-interaction, control theory, and in-vitro experiments. In all kinds of models, the in-vivo data and non-Newtonian rheological models of blood have been widely applied to improve the accuracy of hemodynamic simulation. Conclusion: Firstly, the selection of model depends on its application scenario. The balance between computational complexity and physiological accuracy deserves further investigation. Secondly, the improvement of CoW models relies on the large-scale validations and the combination of various innovative modeling techniques. INDEX TERMS brain modeling, computational modeling, Circle of Willis (CoW), Windkessel effect, pulse wave, computational fluid dynamics (CFD), cerebral blood flow, intracranial arteries.

show abstract

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

Section: ) Applicationsmentioning

confidence: 99%

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Other approaches that might fall under the general terminology of a reduced order model include lower order (0D or 1D) models, which have underpinned systems physiology models for many years, and meta-models, which seek to capture the model behaviour in a simpler model that is fitted to data produced by the full moel . Gaussian process emulators have also seen an upsurge of interest in the cardiovascular sector in the last five years [54]…”

Section: Clinical Decision Supportmentioning

confidence: 99%

Cardiovascular models for personalised medicine: Where now and where next?

Hose

Lawford

Huberts

et al. 2019

Medical Engineering & Physics

View full text Add to dashboard Cite

The aim of this position paper is to provide a brief overview of the current status of cardiovascular modelling and of the processes required and some of the challenges to be addressed to see wider exploitation in both personal health management and clinical practice. In most branches of engineering the concept of the Digital Twin, informed by extensive and continuous monitoring and coupled with robust data assimilation and simulation techniques, is gaining traction: the Gartner Group listed it as one of the top ten digital trends in 2018. The cardiovascular modelling community is starting to develop a much more systematic approach to the combination of physics, mathematics, control theory, artificial intelligence, machine learning, computer science and advanced engineering methodology, as well as working more closely with the clinical community to better understand and exploit physiological measurements, and indeed to develop jointly better measurement protocols informed by model-based understanding. Aspects of developments in physiological modelling, model personalisation, model outcome uncertainty, and the clinical decision support based on this, will be

show abstract

“…Most importantly, the theoretical basis of both WIA and WPA have been derived from the governing equations of the 1D model. During the past decades, the 1D hemodynamic model, coupled to lumped‐parameter (0D) models of the peripheral circulation, has been widely used to investigate cerebrovascular physiology and pathophysiology 13–18 . However, the application of a cerebral circulation model in guiding clinical diagnosis and intervention is still challenging, predominantly due to the lack of sufficient patient‐specific data for model personalization.…”

Section: Introductionmentioning

confidence: 99%

Personalized 0D‐1D multiscale hemodynamic modeling and wave dynamics analysis of cerebral circulation for an elderly patient with dementia

Zhang

Liu

Cheng

et al. 2021

Numer Methods Biomed Eng

View full text Add to dashboard Cite

Senile dementia is associated with pronounced alterations in cerebral circulation. A fundamental understanding of intracranial hemodynamics and wave dynamics is essential for assessing dementia risk. Recent findings suggest that higher carotid artery wave intensity (WI) can predict future cognitive impairments in the elderly. However, wave power (WP) is more advantageous for assessing the risk of cognitive impairment and dementia because of its conservative form, which allows quantification of detailed WP distribution among the entire cerebrovascular network. Unfortunately, intracranial hemodynamics and wave dynamics in elderly patients with dementia remain poorly understood due to ethical issues and technical challenges. In this paper, we proposed a novel and easily achievable personalized methodology for the 0D‐1D model of cerebral circulation using widely available clinical data on transcranial Doppler ultrasonography velocity, cerebral artery anatomy from magnetic resonance imaging, and brachial artery pressure. Using the proposed model, we simulated the cerebral blood flows and compared the wave dynamics between a healthy elderly subject and one living with dementia. Moreover, we performed a variance‐based global sensitivity analysis to quantify the model‐predicted WI and WP sensitivity to the uncertainties of model inputs. This provided more precise information for model personalization and further insights into the wave dynamics of cerebral circulation. In conclusion, the proposed personalized model framework provides a practical approach for patient‐specific modeling and WI/WP analysis of cerebral circulation through noninvasive clinical data. The wave dynamics features of higher WI and lower WP in cerebral arteries may be an invaluable biomarker for assessing dementia risk.

show abstract

Improved biomechanical metrics of cerebral vasospasm identified via sensitivity analysis of a 1D cerebral circulation model

Cited by 11 publications

References 22 publications

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

Cardiovascular models for personalised medicine: Where now and where next?

Personalized 0D‐1D multiscale hemodynamic modeling and wave dynamics analysis of cerebral circulation for an elderly patient with dementia

Contact Info

Product

Resources

About