Correlation of internal carotid artery diameter and carotid flow with asymmetry of the circle of Willis.


Journal

BMC neurology
ISSN: 1471-2377
Titre abrégé: BMC Neurol
Pays: England
ID NLM: 100968555

Informations de publication

Date de publication:
20 Jun 2020
Historique:
received: 28 11 2019
accepted: 15 06 2020
entrez: 22 6 2020
pubmed: 22 6 2020
medline: 22 10 2020
Statut: epublish

Résumé

The purpose of this study was to clarify the effect of asymmetric COW variants on carotid flow changes, and proposed an easy estimate of the representative carotid flow volume for accurate numerical simulation. A total of 210 healthy adults receiving magnetic resonance angiography and carotid duplex sonography were included. Three anterior cerebral artery asymmetry (AA) groups were defined based on the diameter ratio difference (DRD) of bilateral A1 segments: AA1 group, one-side A1 aplasia; AA2, A1 DRD ≥ 50%; AA3, A1 DRD between 10 and 50%. Similarly, 3 posterior communicating artery (PcomA) asymmetry (PA) groups were defined: PA1 group, one fetal-origin posterior cerebral artery and absent contralateral PcomA; PA2, PcomA DRD ≥ 50%; PA3, PcomA DRD between 10 and 50%. With A1 asymmetry, the ICA diameter of the dominant A1 is significantly greater than the contralateral side. Significant differences of bilateral ICA flow were present in the AA1 and AA2 groups (mean flow difference 42.9 and 30.7%, respectively). Significant bilateral ICA diameter and flow differences were only found in the PA1 group. Linear regression analysis of ICA diameter and flow found a moderately positive correlation between ICA diameter and flow in all AA groups, with a 1 mm increment in vessel diameter corresponding to a 62.6 ml increment of flow volume. The product of bilateral ICA diameter and flow volume difference (ICA-PDF) could be a potential discriminator with a cutoff of 4.31 to predict A1 asymmetry ≥50% with a sensitivity of 0.81 and specificity of 0.76. The study verifies that A1 asymmetry causes unequal bilateral carotid inflow, and consequently different bilateral ICA diameters. Adjustment of the inflow boundary conditions according to the COW variants would be necessary to improve the accuracy of numerical simulation.

Sections du résumé

BACKGROUND BACKGROUND
The purpose of this study was to clarify the effect of asymmetric COW variants on carotid flow changes, and proposed an easy estimate of the representative carotid flow volume for accurate numerical simulation.
METHODS METHODS
A total of 210 healthy adults receiving magnetic resonance angiography and carotid duplex sonography were included. Three anterior cerebral artery asymmetry (AA) groups were defined based on the diameter ratio difference (DRD) of bilateral A1 segments: AA1 group, one-side A1 aplasia; AA2, A1 DRD ≥ 50%; AA3, A1 DRD between 10 and 50%. Similarly, 3 posterior communicating artery (PcomA) asymmetry (PA) groups were defined: PA1 group, one fetal-origin posterior cerebral artery and absent contralateral PcomA; PA2, PcomA DRD ≥ 50%; PA3, PcomA DRD between 10 and 50%.
RESULTS RESULTS
With A1 asymmetry, the ICA diameter of the dominant A1 is significantly greater than the contralateral side. Significant differences of bilateral ICA flow were present in the AA1 and AA2 groups (mean flow difference 42.9 and 30.7%, respectively). Significant bilateral ICA diameter and flow differences were only found in the PA1 group. Linear regression analysis of ICA diameter and flow found a moderately positive correlation between ICA diameter and flow in all AA groups, with a 1 mm increment in vessel diameter corresponding to a 62.6 ml increment of flow volume. The product of bilateral ICA diameter and flow volume difference (ICA-PDF) could be a potential discriminator with a cutoff of 4.31 to predict A1 asymmetry ≥50% with a sensitivity of 0.81 and specificity of 0.76.
CONCLUSIONS CONCLUSIONS
The study verifies that A1 asymmetry causes unequal bilateral carotid inflow, and consequently different bilateral ICA diameters. Adjustment of the inflow boundary conditions according to the COW variants would be necessary to improve the accuracy of numerical simulation.

Identifiants

pubmed: 32563264
doi: 10.1186/s12883-020-01831-z
pii: 10.1186/s12883-020-01831-z
pmc: PMC7305584
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

251

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Auteurs

Te-Chang Wu (TC)

Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan. porthoswu@yahoo.com.tw.
Department of Medical Sciences Industry, Chang Jung Christian University, Tainan, Taiwan. porthoswu@yahoo.com.tw.
Department of Medical Imaging, Chi-Mei Medical Center, Tainan City, Taiwan. porthoswu@yahoo.com.tw.

Tai-Yuan Chen (TY)

Department of Medical Imaging, Chi-Mei Medical Center, Tainan City, Taiwan.
Graduate Institute of Medical Sciences, Chang Jung Christian University, Tainan, Taiwan.

Ching-Chung Ko (CC)

Department of Medical Imaging, Chi-Mei Medical Center, Tainan City, Taiwan.
Center of General Education, Chia Nan University of Pharmacy and Science, Tainan, Taiwan.

Jeon-Hor Chen (JH)

Department of Radiology, E-DA Hospital, E-DA Cancer Hospital, I-Shou University, Kaohsiung, Taiwan.
Center for Functional Onco-Imaging of Radiological Sciences, School of Medicine, University of California, Irvine, California, USA.

Ching-Po Lin (CP)

Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
Institute of Neuroscience, School of Life Science, National Yang-Ming University, Taipei, Taiwan.

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