Characteristics of symptomatic plaque on high-resolution magnetic resonance imaging and its relationship with the occurrence and recurrence of ischemic stroke.
Neurol Sci
; 42(9): 3605-3613, 2021 Sep.
Article
in En
| MEDLINE
| ID: mdl-34236554
ABSTRACT
BACKGROUND:
Atherosclerosis is the most common cause of ischemia stroke. Computed tomographic angiography (CTA) and digital subtraction angiography (DSA) are used to evaluate the degree of lumen stenosis. However, these examinations are invasive and can only reveal mild to moderate stenosis. High-resolution magnetic resonance imaging (HRMRI) seems a more intuitive way to show the pathological changes of vascular wall. Hence, we conducted a systematic retrospective study to determine the characteristics of symptomatic plaques in patients with intracranial atherosclerosis on HRMRI and their association with the occurrence and recurrence of ischemic stroke events.METHODS:
The PubMed database was searched for relevant studies reported from January 31, 2010, to October 31, 2020.RESULTS:
We selected 14 clinical outcome studies. We found that plaque enhancement and positive remodeling on HRMRI indicate symptomatic plaques. Besides, intraplaque hemorrhage and positive remodeling index are closely related to the occurrence of stroke. However, it is still controversial whether the initial enhancement of plaque and the occurrence and recurrence of stroke are related. There is also no significant correlation between vascular stenosis and symptomatic plaque or the occurrence and recurrence of ischemic stroke.CONCLUSION:
High-resolution magnetic resonance imaging can be used as an assessment tool to predict the risk of stroke onset and recurrence in patients with atherosclerosis, but further research is also needed.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Intracranial Arteriosclerosis
/
Brain Ischemia
/
Stroke
/
Plaque, Atherosclerotic
/
Ischemic Stroke
Type of study:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Neurol Sci
Journal subject:
NEUROLOGIA
Year:
2021
Document type:
Article
Affiliation country:
China