Abstract #1380

Superior Visualization of Moyamoya Disease Collaterals: A Comparative Analysis of 5.0T vs. 3.0T Time-of-Flight Magnetic Resonance Angiography

Yijun Zhou¹, Yuanren Zhai^2,3,4,5, YuXin Yang⁶, Shuo Chen⁷, Ke Xue⁶, Dong Wang⁷, Mingli Li¹, Jun Ni⁸, Dong Zhang^2,3,4,5, Yining Wang¹, and Feng Feng¹

¹Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, ²Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, ³China National Clinical Research Center for Neurological Diseases, Beijing, China, ⁴Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China, ⁵Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, ⁶MR Collaboration, United Imaging Research Institute of Intelligent Imaging, Beijing, China, ⁷United Imaging Research Institute of Intelligent Imaging, Beijing, China, ⁸Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Synopsis

Keywords: Blood Vessels, Blood vessels, 5.0-T magnetic resonance angiography

Motivation: Limited studies have scrutinized the capability of MRI in evaluating collateral circulation in Moyamoya Disease (MMD), with 3.0T TOF MRA often lacking the necessary precision.

Goal(s): To systematically compare the effectiveness of 5.0T and 3.0T TOF MRA in depicting the complex vascular networks in MMD patients.

Approach: A retrospective study on 21 MMD patients was performed using both 5.0T and 3.0T MRI systems, focusing on the visibility of moyamoya vessels, leptomeningeal anastomoses, and basal ganglia signal intensity.

Results: The study found that 5.0T MRA significantly outperforms 3.0T in visualizing the fine details of MMD's vascular architecture.

Impact: The introduction of 5.0T MRA into clinical practice could revolutionize the imaging landscape for Moyamoya Disease, offering superior diagnostic clarity and aiding in the precise evaluation of cerebrovascular collateral networks, which is critical for surgical planning and patient prognosis.

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