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PMID: 36173034 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

A Novel Patient-Specific Computational Fluid Dynamics Study of the Activation of Primary Collateral Pathways in the Circle of Willis During Vasospasm.

Journal of biomechanical engineering ·Vol. 145 ·No. 4 ·2023-00-01

Straccia A, Chassagne F, Bass DI, Barros G, Leotta DF, Sheehan F, Sharma D, Levitt MR, Aliseda A

Abstract

The Circle of Willis (CoW) is a redundant network of blood vessels that perfuses the brain. The ringlike anatomy mitigates the negative effects of stroke by activating collateral pathways that help maintain physiological perfusion. Previous studies have investigated the activation of these pathways during embolic stroke and internal carotid artery occlusion. However, the role of collateral pathways during cerebral vasospasm-an involuntary constriction of blood vessels after subarachnoid hemorrhage-is not well-documented. This study presents a novel technique to create patient-specific computational fluid dynamics (CFD) simulations of the Circle of Willis before and during vasospasm. Computed tomographic angiography (CTA) scans are segmented to model the vasculature, and transcranial Doppler ultrasound (TCD) measurements of blood flow velocity are applied as boundary conditions. Bayesian analysis leverages information about the uncertainty in the measurements of vessel diameters and velocities to find an optimized parameter set that satisfies mass conservation and that is applied in the final simulation. With this optimized parameter set, the diameters, velocities, and flow rates fall within typical literature values. Virtual angiograms modeled using passive scalar transport agree closely with clinical angiography. A sensitivity analysis quantifies the changes in collateral flow rates with respect to changes in the inlet and outlet flow rates. This analysis can be applied in the future to a cohort of patients to investigate the relationship between the locations and severities of vasospasm, the patient-to-patient anatomical variability in the Circle of Willis, and the activation of collateral pathways.

MeSH 主题词
Circle of Willis/diagnostic imaging Hydrodynamics Bayes Theorem Collateral Circulation/physiology Cerebrovascular Circulation/physiology Blood Flow Velocity/physiology
作者与单位
共 9 位作者,点击展开单位 / ORCID
Straccia Angela
Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195.
Chassagne Fanette
INSERM U1059 Sainboise, Mines Saint-Étienne, 158 cours Fauriel, Saint-Étienne 42000, France.
Bass David I
Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104.
Barros Guilherme
Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104.
Leotta Daniel F
Applied Physics Laboratory, University of Washington, 1013 NE 40th 28 St, Box 355640, Seattle, WA 98105.
Sheehan Florence
Department of Medicine, University of Washington, 1959 NE Pacific St, RR-616, Seattle, WA 98195.
Sharma Deepak
Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104.
Levitt Michael R
Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104; Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195; Department of Radiology, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104.
Aliseda Alberto
Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195; Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA 98104.
Article Info
Journal
Journal of biomechanical engineering
Abbr.
J Biomech Eng
ISSN
1528-8951
Published
2023-00-01
Language
English
Country/Region
United States
NLM ID
7909584
基金资助
NINDS NIH HHS · R25 NS079200 · United States
NINDS NIH HHS · R01 NS105692 · United States
AHRQ HHS · R18 HS026690 · United States
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