Progression in Moyamoya Disease: Clinical Features, Neuroimaging Evaluation, and Treatment.
Epidemiology
Moyamoya disease
genetic characteristics
neuroimaging
pathogenesis
progression
treatment
Journal
Current neuropharmacology
ISSN: 1875-6190
Titre abrégé: Curr Neuropharmacol
Pays: United Arab Emirates
ID NLM: 101157239
Informations de publication
Date de publication:
2022
2022
Historique:
received:
28
01
2021
revised:
08
05
2021
accepted:
09
07
2021
pubmed:
20
7
2021
medline:
16
3
2022
entrez:
19
7
2021
Statut:
ppublish
Résumé
Moyamoya disease (MMD) is a chronic cerebrovascular disease characterized by progressive stenosis of the arteries of the circle of Willis, with the formation of collateral vascular network at the base of the brain. Its clinical manifestations are complicated. Numerous studies have attempted to clarify the clinical features of MMD, including its epidemiology, genetic characteristics, and pathophysiology. With the development of neuroimaging techniques, various neuroimaging modalities with different advantages have deepened the understanding of MMD in terms of structural, functional, spatial, and temporal dimensions. At present, the main treatment for MMD focuses on neurological protection, cerebral blood flow reconstruction, and neurological rehabilitation, such as pharmacological treatment, surgical revascularization, and cognitive rehabilitation. In this review, we discuss recent progress in understanding the clinical features, in the neuroimaging evaluation and treatment of MMD.
Identifiants
pubmed: 34279201
pii: CN-EPUB-116749
doi: 10.2174/1570159X19666210716114016
pmc: PMC9413783
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
292-308Subventions
Organisme : National Natural Science Foundation of China
ID : 81771237, 81801155
Organisme : Shanghai Municipal Science and Technology Commission Major Project
ID : 2018SHZDZX03, 19DZ1930304
Organisme : ZJLab, and Shanghai Municipal Commission of Health and Family Planning
ID : 2017BR022, 2019SY076
Informations de copyright
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.
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