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PMID: 38918589 Published · epublish English Journal Article

Establishing the distribution of cerebrovascular resistance using computational fluid dynamics and 4D flow MRI.

Scientific reports ·Vol. 14 ·No. 1 ·2024-00-25 ·Pages 14585

Vikström A, Holmlund P, Holmgren M, Wåhlin A, Zarrinkoob L, Malm J, Eklund A

Abstract

Cerebrovascular resistance (CVR) regulates blood flow in the brain, but little is known about the vascular resistances of the individual cerebral territories. We present a method to calculate these resistances and investigate how CVR varies in the hemodynamically disturbed brain. We included 48 patients with stroke/TIA (29 with symptomatic carotid stenosis). By combining flow rate (4D flow MRI) and structural computed tomography angiography (CTA) data with computational fluid dynamics (CFD) we computed the perfusion pressures out from the circle of Willis, with which CVR of the MCA, ACA, and PCA territories was estimated. 56 controls were included for comparison of total CVR (tCVR). CVR were 33.8 ± 10.5, 59.0 ± 30.6, and 77.8 ± 21.3 mmHg s/ml for the MCA, ACA, and PCA territories. We found no differences in tCVR between patients, 9.3 ± 1.9 mmHg s/ml, and controls, 9.3 ± 2.0 mmHg s/ml (p = 0.88), nor in territorial CVR in the carotid stenosis patients between ipsilateral and contralateral hemispheres. Territorial resistance associated inversely to territorial brain volume (p < 0.001). These resistances may work as reference values when modelling blood flow in the circle of Willis, and the method can be used when there is need for subject-specific analysis.

Keywords
Carotid stenosis Cerebrovascular resistance Computational fluid dynamics Peripheral cerebral territories Stroke
MeSH Terms
Humans Male Female Cerebrovascular Circulation/physiology Hydrodynamics Vascular Resistance/physiology Middle Aged Aged Magnetic Resonance Imaging/methods Stroke/diagnostic imaging,physiopathology Carotid Stenosis/physiopathology,diagnostic imaging Hemodynamics Computed Tomography Angiography/methods Circle of Willis/diagnostic imaging,physiopathology Blood Flow Velocity Brain/diagnostic imaging,blood supply,physiopathology
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Vikström Axel
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. [email protected].
Holmlund Petter
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.
Holmgren Madelene
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Wåhlin Anders
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden. | Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.
Zarrinkoob Laleh
Department of Diagnostics and Intervention, Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Malm Jan
Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Eklund Anders
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Published
2024-00-25
Epub
2024-00-25
Pages
14585
Language
English
Region
England
NLM ID
101563288
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