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논문 기본 정보

자료유형
학술저널
저자정보
Dong-Wan Kang (Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea, Headquarters for Public Health Care, Seoul National University Bundang Hospital, Seongnam, Korea, Depart) Do Yeon Kim (Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea, Headquarters for Public Health Care, Seoul National University Bundang Hospital, Seongnam, Korea, Depar) Jonguk Kim (Department of Neurology, Inha University Hospital, Incheon, Korea) Sung Hyun Baik (Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea) Cheolkyu Jung (Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea) Nishita Singh (Department of Internal Medicine-Neurology Division, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada) Jae W. Song (Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA) Hee-Joon Bae (Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea) Beom Joon Kim (Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea)
저널정보
대한뇌졸중학회 대한뇌졸중학회지 대한뇌졸중영문학회지 제26권 제1호
발행연도
2024.1
수록면
26 - 40 (15page)

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초록· 키워드

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Intracranial arterial disease (ICAD) is a heterogeneous condition characterized by distinct pathologies, including atherosclerosis. Advances in magnetic resonance technology have enabled the visualization of intracranial arteries using high-resolution vessel wall imaging (HR-VWI). This review summarizes the anatomical, embryological, and histological differences between the intracranial and extracranial arteries. Next, we review the heterogeneous pathophysiology of ICAD, including atherosclerosis, moyamoya or RNF213 spectrum disease, intracranial dissection, and vasculitis. We also discuss how advances in HR-VWI can be used to differentiate ICAD etiologies. We emphasize that one should consider clinical presentation and timing of imaging in the absence of pathology-radiology correlation data. Future research should focus on understanding the temporal profile of HR-VWI findings and developing quantitative interpretative approaches to improve the decision-making and management of ICAD.

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