| Literature DB >> 34279201 |
Xin Zhang1,2,3,4,5, Weiping Xiao1,2,3,4,5, Qing Zhang6, Ding Xia7, Peng Gao7, Jiabin Su1,2,3,4,5, Heng Yang1,2,3,4,5, Xinjie Gao1,2,3,4,5, Wei Ni1,2,3,4,5, Yu Lei1,2,3,4,5, Yuxiang Gu1,2,3,4,5.
Abstract
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. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.Entities:
Keywords: Epidemiology; Moyamoya disease; genetic characteristics; neuroimaging; pathogenesis; progression; treatment
Mesh:
Year: 2022 PMID: 34279201 PMCID: PMC9413783 DOI: 10.2174/1570159X19666210716114016
Source DB: PubMed Journal: Curr Neuropharmacol ISSN: 1570-159X Impact factor: 7.708
Different grading systems for moyamoya disease based on different neuroimaging methods.
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| 2011 | Czabanka, | DSA, MRI & CVRC | Degree of stenosis of intracranial artery & compensation | Such system can stratify for clinical symptomatology |
| 2014 | Hung, | Color-coded parametric quantitative DSA | Delay time of maximal opacification between ICA and MCA | Such system correlates with angioarchitecture and hemodynamic impairment status |
| 2015 | Sahoo, | Angiographic outcome score | Reformation of distal MCA and ACA | Such score can reflect angiographic changes after revascularization |
| 2017 | Ladner, | Prior infarcts, reactivity & angiography | DSA | Such system correlates with symptomatology to evaluate hemodynamic severity |
| 2018 | Yin, | CT perfusion | Cerebral perfusion status | Such system can evaluate cerebral perfusion status and predict the efficacy of revascularization |
| 2019 | Zhi-Wen, | Collateral circulation and Suzuki stage | Anatomic extent of blood flow of intracranial and pial perforator | Such system correlates with clinical symptoms, hemodynamic status, and therapeutic prognosis |
| 2019 | Lin, | MRI perfusion | Standardized TTP maps using cerebellar reference values | Preoperative perfusion status is the only predictor of indirect revascularization outcome |
| 2020 | Moinay, | Demographics, multimodal imaging | Hyperlipidemia & smoking | Such system reveals the importance of smoking and hyperlipidemia to predict clinical outcome |
| 2020 | Mario, | DSA, MRI & Xenon-CT | Structural intracranial vessels criteria | Such system can stratify hemispheric symptomatology and predict stroke events |
(CVRC: Cerebrovascular Reserve Capacity; DSC-PWI: Dynamic Susceptibility Contrast Perfusion-Weighted Imaging; ICA: Internal Carotid Artery; MCA: Middle Cerebral Artery, ACA: Anterior Cerebral Artery; CT: Computer Tomography; MRI: Magnetic Resonance Imaging; TTP: Time To Peak)