Modelling Growth, Remodelling and Damage of a Thick-walled Fibre-reinforced Artery with Active Response: Application to Cerebral Vasospasm and Treatment
Giulia Pederzani, Andrii Grytsan, Alfons G. Hoekstra, Anne M. Robertson, Paul N. Watton
{"title":"Modelling Growth, Remodelling and Damage of a Thick-walled Fibre-reinforced Artery with Active Response: Application to Cerebral Vasospasm and Treatment","authors":"Giulia Pederzani, Andrii Grytsan, Alfons G. Hoekstra, Anne M. Robertson, Paul N. Watton","doi":"arxiv-2408.17206","DOIUrl":null,"url":null,"abstract":"Cerebral vasospasm, a prolonged constriction of cerebral arteries, is the\nfirst cause of morbidity and mortality for patients who survive hospitalisation\nafter aneurysmal subarachnoid haemorrhage. The recent finding that\nstent-retrievers can successfully treat the disease has challenged the\nviewpoint that damage to the extracellular matrix is necessary. We apply a 3D\nfinite element rate-based constrained mixture model (rb-CMM) to simulate\nvasospasm, remodelling and treatment with stents. The artery is modelled as a\nthick-walled fibre-reinforced constrained mixture subject to physiological\npressure and axial stretch. The model accounts for distributions of collagen\nfibre homeostatic stretches, VSMC active response, remodelling and damage.\nAfter simulating vasospasm and subsequent remodelling of the artery to a new\nhomeostatic state, we simulate treatment with commonly available\nstent-retrievers. We perform a parameter study to examine how arterial diameter\nand thickness affect the success of stent treatment. The model predictions on\nthe pressure required to mechanically resolve the constriction are consistent\nwith stent-retrievers. In agreement with clinical observations, our model\npredicts that stent-retrievers tend to be effective in arteries of up to 3mm\ndiameter, but fail in larger ones. Variations in arterial wall thickness\nsignificantly affect stent pressure requirements. We have developed a novel\nrb-CMM that accounts for VSMC active response, remodelling and damage.\nConsistently with clinical observations, simulations predict that\nstent-retrievers can mechanically resolve vasospasm. Moreover, accounting for a\npatient's arterial properties is important for predicting likelihood of stent\nsuccess. This in silico tool has the potential to support clinical\ndecision-making and guide the development and evaluation of dedicated stents\nfor personalised treatment of vasospasm.","PeriodicalId":501309,"journal":{"name":"arXiv - CS - Computational Engineering, Finance, and Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Engineering, Finance, and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.17206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Cerebral vasospasm, a prolonged constriction of cerebral arteries, is the
first cause of morbidity and mortality for patients who survive hospitalisation
after aneurysmal subarachnoid haemorrhage. The recent finding that
stent-retrievers can successfully treat the disease has challenged the
viewpoint that damage to the extracellular matrix is necessary. We apply a 3D
finite element rate-based constrained mixture model (rb-CMM) to simulate
vasospasm, remodelling and treatment with stents. The artery is modelled as a
thick-walled fibre-reinforced constrained mixture subject to physiological
pressure and axial stretch. The model accounts for distributions of collagen
fibre homeostatic stretches, VSMC active response, remodelling and damage.
After simulating vasospasm and subsequent remodelling of the artery to a new
homeostatic state, we simulate treatment with commonly available
stent-retrievers. We perform a parameter study to examine how arterial diameter
and thickness affect the success of stent treatment. The model predictions on
the pressure required to mechanically resolve the constriction are consistent
with stent-retrievers. In agreement with clinical observations, our model
predicts that stent-retrievers tend to be effective in arteries of up to 3mm
diameter, but fail in larger ones. Variations in arterial wall thickness
significantly affect stent pressure requirements. We have developed a novel
rb-CMM that accounts for VSMC active response, remodelling and damage.
Consistently with clinical observations, simulations predict that
stent-retrievers can mechanically resolve vasospasm. Moreover, accounting for a
patient's arterial properties is important for predicting likelihood of stent
success. This in silico tool has the potential to support clinical
decision-making and guide the development and evaluation of dedicated stents
for personalised treatment of vasospasm.