Evidence map›Paper›PMID 36188409›Full record

ArticleFrontiers in neurology2022

Relationship between the stroke mechanism of symptomatic middle cerebral artery atherosclerotic diseases and culprit plaques based on high-resolution vessel wall imaging.

Guo-Hui Lin, Jian-Xun Song, Teng-da Huang, Nian-Xia Fu, Li-Ling Zhong

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Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Guo-Hui LinDepartment of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China.
Jian-Xun SongDepartment of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China.
Teng-da HuangDepartment of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China.
Nian-Xia FuDepartment of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China.
Li-Ling ZhongDepartment of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: For patients with symptomatic middle cerebral artery (MCA) atherosclerotic stenosis, identifying the potential stroke mechanisms may contribute to secondary prevention. The purpose of the study is to explore the relationship between stroke mechanisms and the characteristics of culprit plaques in patients with atherosclerotic ischemic stroke in the M1 segment of the middle cerebral artery (MCA) based on high-resolution vessel wall imaging (HR-VWI). Methods: We recruited 61 patients with acute ischemic stroke due to MCA atherosclerotic stenosis from Shenzhen Bao'an District People's Hospital. According to prespecified criteria based on infarct topography and magnetic resonance angiography, possible stroke mechanisms were divided into parent artery atherosclerosis occluding penetrating artery (P), artery-to-artery embolism (A), hypoperfusion (H), and mixed mechanisms (M). The correlation between the characteristics of MCA M1 culprit plaque and different stroke mechanisms was analyzed using HR-VWI. The indicators included plaque surface irregularity, T1 hyperintensity, location, plaque burden (PB), remodeling index (RI), enhancement rate, and stenosis rate. Results: Parental artery atherosclerosis occluding penetrating artery was the most common mechanism (37.7%). The proposed criteria showed substantial to excellent interrater reproducibility (κ, 0.728; 0.593-0.863). Compared with the P group, the surface irregularity, T1 hyperintensity, and obvious enhancement of the culprit plaque in the A group were more common ( Conclusion: The culprit plaque characteristics of patients with symptomatic MCA atherosclerotic in different stroke mechanisms may be evaluated using HR-VWI. The plaque characteristics of different stroke mechanisms may have clinical value for the selection of treatment strategies and prevention of stroke recurrence. Clinical trial registration: Identifier: ChiCTR1900028533.

Indexed as

atherosclerosishigh-resolution vessel wall imagingmechanismmiddle cerebral arterystroke

Identifiers

PMID36188409
PMCPMC9523534

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