High-resolution magnetic resonance vessel wall imaging provides new insights into Moyamoya disease

Front Neurosci. 2024 Apr 11:18:1375645. doi: 10.3389/fnins.2024.1375645. eCollection 2024.

Abstract

Moyamoya disease (MMD) is a rare condition that affects the blood vessels of the central nervous system. This cerebrovascular disease is characterized by progressive narrowing and blockage of the internal carotid, middle cerebral, and anterior cerebral arteries, which results in the formation of a compensatory fragile vascular network. Currently, digital subtraction angiography (DSA) is considered the gold standard in diagnosing MMD. However, this diagnostic technique is invasive and may not be suitable for all patients. Hence, non-invasive imaging methods such as computed tomography angiography (CTA) and magnetic resonance angiography (MRA) are often used. However, these methods may have less reliable diagnostic results. Therefore, High-Resolution Magnetic Resonance Vessel Wall Imaging (HR-VWI) has emerged as the most accurate method for observing and analyzing arterial wall structure. It enhances the resolution of arterial walls and enables quantitative and qualitative analysis of plaque, facilitating the identification of atherosclerotic lesions, vascular entrapment, myofibrillar dysplasia, moyamoya vasculopathy, and other related conditions. Consequently, HR-VWI provides a new and more reliable evaluation criterion for diagnosing vascular lesions in patients with Moyamoya disease.

Keywords: Moyamoya disease; cerebral artery occlusion; high-resolution magnetic resonance vessel wall imaging; intracranial vessel wall; moyamoya vasculopathy.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported partially by the National Natural Science Foundation of China (81960221 and 82260249 to XY), and Jiangxi Provincial Health Commission Science and Technology Plan project (202311506 to ZC), Jiangxi Provincial Administration of Traditional Chinese Medicine science and technology plan project (2022A322 to ZC), Key Projects of Jiangxi Provincial Department of Education (GJJ2201902 to ZC), Youth Foundation of Natural Science Foundation of Jiangxi Province (20224BAB216045 to ZC).