2020
DOI: 10.1177/0271678x20958517
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Intracranial vessel wall lesions on 7T MRI and MRI features of cerebral small vessel disease: The SMART-MR study

Abstract: The etiology of cerebral small vessel disease (CSVD) is the subject of ongoing research. Although intracranial atherosclerosis (ICAS) has been proposed as a possible cause, studies on their relationship remain sparse. We used 7 T vessel wall magnetic resonance imaging (MRI) to study the association between intracranial vessel wall lesions—a neuroimaging marker of ICAS—and MRI features of CSVD. Within the SMART-MR study, cross-sectional analyses were performed in 130 patients (68 ± 9 years; 88% male). ICAS burd… Show more

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Cited by 19 publications
(18 citation statements)
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“…Intracranial atherosclerosis has been downplayed as a contributor to SVD, likely because traditional vascular sequences (ie, MRA) can only assess luminal stenosis in large arteries. 73 Vessel wall imaging has revealed that intracranial atherosclerosis burden, which is dependent on features of both the lumen and the vessel wall, is related to cortical and subcortical infarcts, microinfarcts, and WMH. 73 Several other pathologies can be captured by vessel wall imaging and may elucidate the etiology of SVD, such as atherosclerotic plaque, large-vessel vasculitis, and discrimination of reversible cerebral vasoconstriction syndrome.…”
Section: Vessel Wall Imagingmentioning
confidence: 99%
See 1 more Smart Citation
“…Intracranial atherosclerosis has been downplayed as a contributor to SVD, likely because traditional vascular sequences (ie, MRA) can only assess luminal stenosis in large arteries. 73 Vessel wall imaging has revealed that intracranial atherosclerosis burden, which is dependent on features of both the lumen and the vessel wall, is related to cortical and subcortical infarcts, microinfarcts, and WMH. 73 Several other pathologies can be captured by vessel wall imaging and may elucidate the etiology of SVD, such as atherosclerotic plaque, large-vessel vasculitis, and discrimination of reversible cerebral vasoconstriction syndrome.…”
Section: Vessel Wall Imagingmentioning
confidence: 99%
“…73 Vessel wall imaging has revealed that intracranial atherosclerosis burden, which is dependent on features of both the lumen and the vessel wall, is related to cortical and subcortical infarcts, microinfarcts, and WMH. 73 Several other pathologies can be captured by vessel wall imaging and may elucidate the etiology of SVD, such as atherosclerotic plaque, large-vessel vasculitis, and discrimination of reversible cerebral vasoconstriction syndrome. 70 Artificial Intelligence Advances in SVD While identifying the presence of at least 1 lacune or cerebral microbleed is straightforward in most situations, visual grading of WMH and PVS poses a unique challenge because the rating scales are inherently subjective, with poor agreement among neuroradiologists.…”
Section: Vessel Wall Imagingmentioning
confidence: 99%
“… 25 , 26 Until recently, the specific pathological mechanisms underlying CSVD still remained largely unknown, in part because of the lack of effective methods that can technically visualize or image small vessels in vivo. 4 , 25 Although the advances in neuroimaging have provided novel information in CSVD including detailed evaluation of the vessel wall, atherosclerotic plaques within intracranial arteries, 27 , 28 white matter integrity, WMH shape, and the fraction of free water in the drainage area, 29 , 30 , 31 there have been few researches investigating the dynamic vasculature's function of small vessels, such as dCA.…”
Section: Discussionmentioning
confidence: 99%
“…Hence, identifying the stroke side was one of the critical roles. The current imaging tool and the gold standard would be MRI [24][25][26], but since it is an expensive and a time-consuming procedure, its use clinically and in research is limited. Other imaging tests, such as CT and angiography, help in identifying the location hours after strokes, but one of the problems using CT is the high radiation dose.…”
Section: Discussionmentioning
confidence: 99%