Document Detail


Atherosclerotic plaque pathohistology and classification with high-resolution MRI.
MedLine Citation:
PMID:  20810025     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
METHODS: Eight consecutive patients (five males, mean age 67·4 years) who were recruited into our study had high-grade stenosis or occlusion of carotid artery and FA (70 to 100%). Four patients accepted carotid endarterectomy and others underwent FA prosthetic reconstruction.
RESULTS: The high level of accuracy was shown in classification of the plaque type. The sections of plaques detected by MRI were classified as follows: 12 (22·2%) were modified American Heart Association (AHA) type III, 11 (20·4%) were type IV-V, 26 (48·2%) were type VI and 5 (9·3%) were type VII. According to the histological observations, the overall accurate rate by MRI showed a high level accuracy of 90·7% (49/54). Immunohistochemistry of cellular components in plaque shoulder demonstrated that CD68-positive macrophages were strongly dominated along the arterial wall. Reduced expression of smooth muscle actin (SMA)-positive smooth muscle cells were detected in the fibrous cap of atheroma. CD31 stain showed the increased presence of CD31-positive neomicrovessels.
CONCLUSIONS: Atherosclerosis is a systematic disease that can involve whole body vascular beds. Non-invasive high-resolution MRI will provide useful information in morphological studies of the arterial walls and classification of the plaque type.
Authors:
Tianli Gao; Xiaofen He; Wei Yu; Zhuo Zhang; Yongjun Wang
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Publication Detail:
Type:  Journal Article     Date:  2010-08-31
Journal Detail:
Title:  Neurological research     Volume:  33     ISSN:  1743-1328     ISO Abbreviation:  Neurol. Res.     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-04-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7905298     Medline TA:  Neurol Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  325-30     Citation Subset:  IM    
Affiliation:
Department of Neurology, Capital Medical University, Beijing Anzhen Hospital, China.
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