Warnert, Esther A.H, Verbree, Jasper, Wise, Richard ORCID: https://orcid.org/0000-0003-1700-2144 and van Osch, Matthias J.P. 2016. Using High-Field Magnetic Resonance Imaging to Estimate Distensibility of the Middle Cerebral Artery. Neurodegenerative Diseases 16 (5-6) , pp. 407-410. 10.1159/000446397 |
Preview |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (190kB) | Preview |
Abstract
Although cerebral arterial stiffness may be an important marker for cerebrovascular health, there is not yet a measurement that accurately reflects the distensibility of major intracranial arteries. Herein, we aim to noninvasively measure distension of the human middle cerebral artery (MCA). Methods: Ten healthy volunteers (age: 30.3 ± 10.8 years) underwent ultra-high-field (7-tesla) MRI scanning. Time-of-flight angiography and phase-contrast flow imaging were used to locate the M1 segment of the MCA and to determine the occurrence of systole and diastole. High-resolution cross-sectional cardiac triggered T2-weighted images of the M1 segment of the MCA were acquired in systole and diastole. Results: The average distension of the MCA area from diastole to systole was 2.58% (range: 0.08%-6.48%). There was no significant correlation between MCA distension and the pulsatility index, calculated from the phase-contrast flow velocity profiles. Conclusion: These results lead to the first noninvasive image-based estimation of distensibility of the MCA (approx. 5.8 × 10-4 mm Hg-1) and demonstrate that ultra-high-field MRI could be a promising tool for investigating distensibility of intracranial arteries in relation to cerebrovascular pathology.
Item Type: | Article |
---|---|
Date Type: | Published Online |
Status: | Published |
Schools: | Psychology |
Publisher: | Karger |
ISSN: | 16602854 |
Funders: | Wellcome Trust |
Date of First Compliant Deposit: | 27 July 2016 |
Date of Acceptance: | 25 April 2016 |
Last Modified: | 05 May 2023 06:43 |
URI: | https://orca.cardiff.ac.uk/id/eprint/93369 |
Citation Data
Cited 13 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
Edit Item |