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Part of book or chapter of book . 2016 . Peer-reviewed
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Pathological Characteristics

Authors: Chen, Xiang-Yan; Fisher, Mark;

Pathological Characteristics

Abstract

Within the intracranial vasculature, atherosclerosis occurs in two distinctive patterns: (1) in Western populations who have severe extracranial and systemic atherosclerosis, the severity of intracranial involvement is consistently less than that within extracranial arteries; and (2) in Asians, Africans, and Hispanics, who often have isolated intracranial arterial disease that is found to be more often accompanied by brain infarction than comparable extracranial atherosclerotic disease. Compared to coronary and extracranial carotid atherosclerosis, intracranial atherosclerosis has distinct pathological characteristics compared to that of extracranial arteries. Intracranial atherosclerosis (ICAS) had been understudied due to the relative inaccessibility of cerebral artery specimens under current treatment strategies. Acquiring post-mortem cerebral vessel specimens for histology processing is the most direct method to analyze the pathological characteristics of ICAS, in order to analyze both lumen stenosis and plaque components contributing to brain infarctions. The developments in high resolution magnetic resonance imaging (HRMRI) make it feasible to assess human ICAS in vivo. It is nevertheless challenging to understand vessel wall changes within brain vasculature demonstrated on HRMRI, as well as to identify biomarkers for stroke risk stratification and treatment strategy modification. Knowledge about intracranial atherosclerosis remains limited due to lack of human arterial specimens, and the development of proper animal models of human cerebral atherosclerosis is necessary to explore the pathogenesis of intracranial atherosclerosis and to assess various strategies preventing or treating ICAS-related stroke.

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Keywords

brain artery, Aging, Cerebrovascular, 4003 Biomedical Engineering (for-2020), Biomedical Engineering, brain blood vessel, Hispanic, atherosclerotic plaque, Cardiovascular, Article, Cerebral Arteries (mesh), histology, Aging (rcdc), Engineering, Brain Disorders (rcdc), 2.1 Biological and endogenous factors, Humans, human, Fluid Mechanics and Thermal Engineering, Aetiology, nuclear magnetic resonance imaging, Atherosclerosis (rcdc), Neurosciences (rcdc), Humans (mesh), Cardiovascular (hrcs-hc), nonhuman, Asian, animal model, pathogenesis, African, Neurosciences, Stroke (rcdc), Cerebrovascular (rcdc), Cerebral Arteries, Atherosclerosis, 40 Engineering (for-2020), Intracranial Arteriosclerosis, Brain Disorders, Stroke, priority journal, 4012 Fluid Mechanics and Thermal Engineering (for-2020), Intracranial Arteriosclerosis (mesh), Cardiovascular (rcdc), pathology, brain atherosclerosis, cerebrovascular accident

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Average
Green