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高分辨率磁共振成像在颈动脉斑块识别中的意义

Significance of high resolution MRI in the identification of carotid plaque.

作者信息

Sun Yong, Xu Lei, Jiang Yan, Ma Ming, Wang Xin-Yi, Xing Ying

机构信息

Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.

出版信息

Exp Ther Med. 2020 Oct;20(4):3653-3660. doi: 10.3892/etm.2020.9091. Epub 2020 Aug 3.

Abstract

The stability of carotid artery plaque serves a key role in the occurrence of stroke. The present study was based on the recruitment of patients with acute ischemic cerebrovascular disease. High-resolution magnetic resonance imaging (HR-MRI) was used to identify the nature of carotid artery plaque, and the results were then used to manage the high-risk group of stroke. The patients were divided equally into a symptomatic group (36 cases) and an asymptomatic group (36 cases). According to the degree of carotid artery stenosis, the patients were divided into mild, moderate and severe stenosis groups, each group comprising 12 patients, and HR-MRI was performed. The proportion of patients with vulnerable plaque in the symptomatic group was higher compared with that in the asymptomatic group (P<0.05). The more severe the stenosis, the higher the proportion of vulnerable plaque that was identified (P<0.05). Compared with carotid ultrasound, HR-MRI was indicated to have the capability to both identify and quantify the different components in the plaque, allowing an assessment of its properties. In conclusion, the present study demonstrated that carotid HR-MRI is able to distinguish and quantify the different components of plaque, which may prove to be helpful for the hierarchical management of a population at high risk of stroke.

摘要

颈动脉斑块的稳定性在中风的发生中起关键作用。本研究基于招募急性缺血性脑血管病患者。采用高分辨率磁共振成像(HR-MRI)来确定颈动脉斑块的性质,然后将结果用于管理中风高危人群。患者被平均分为症状组(36例)和无症状组(36例)。根据颈动脉狭窄程度,患者被分为轻度、中度和重度狭窄组,每组12例,并进行HR-MRI检查。症状组中易损斑块患者的比例高于无症状组(P<0.05)。狭窄程度越严重,识别出的易损斑块比例越高(P<0.05)。与颈动脉超声相比,HR-MRI被表明有能力识别和量化斑块中的不同成分,从而评估其特性。总之,本研究表明颈动脉HR-MRI能够区分和量化斑块的不同成分,这可能有助于对中风高危人群进行分层管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d694/7444342/05a1f3e6269b/etm-20-04-3653-g00.jpg

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