Patient-Specific Modeling Could Predict Occurrence of Pediatric Stroke.
MRI
cerebrovascular
computational fluid dynamics
hemodynamics
isogeometric analysis
moyamoya
stroke risk
wall shear rate score
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2022
2022
Historique:
received:
31
12
2021
accepted:
02
02
2022
entrez:
17
3
2022
pubmed:
18
3
2022
medline:
18
3
2022
Statut:
epublish
Résumé
Moyamoya disease (MMD) is a progressive steno-occlusive cerebrovascular disease leading to recurrent stroke. There is a lack of reliable biomarkers to identify unilateral stroke MMD patients who are likely to progress to bilateral disease and experience subsequent contralateral stroke(s). We hypothesized that local hemodynamics are predictive of future stroke and set out to noninvasively assess this stroke risk in pediatric MMD patients. MR and X-ray angiography imaging were utilized to reconstruct patient-specific models of the circle of Willis of six pediatric MMD patients who had previous strokes, along with a control subject. Blood flow simulations were performed by using a Navier-Stokes solver within an isogeometric analysis framework. Vascular regions with a wall shear rate (WSR) above the coagulation limit (>5,000 s
Identifiants
pubmed: 35295566
doi: 10.3389/fphys.2022.846404
pmc: PMC8920501
doi:
Types de publication
Journal Article
Langues
eng
Pagination
846404Informations de copyright
Copyright © 2022 Horn, Johnson, Starosolski, Meoded, Milewicz, Annapragada and Hossain.
Déclaration de conflit d'intérêts
AA is a consultant to, and a founder and stockholder in, Alzeca Biosciences and a shareholder in Sensulin LLC. ZS is a stockholder in Alzeca Biosciences and a consultant for InContext.ia. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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