Yilan Xu1, Chun Yuan2,3, Zechen Zhou4, Le He2, Rui Li2, Yuanyuan Cui5, Zhuozhao Zheng1, and Xihai Zhao2
1Department of Radiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China, 3Department of Radiology, University of Washington, Seattle, United States, 4Philips Research China, Philips Healthcare, Beijing, People's Republic of China, 5Department of Radiology, PLA General Hospital, Beijing, People's Republic of China
Synopsis
This study investigated the correlation between
intracranial and extracranial carotid artery atherosclerotic disease in
symptomatic patients. We found that extracranial artery disease showed larger
plaque burden than intracranial artery disease. In addition, the number of
extracranial plaques was found to be associated with intracranial plaque number
and maximum wall thickness (MaxWT) and the extracranial carotid
MaxWT was independently associated with intracraninal artery stenosis. The
association of extracranial artery plaque number and MaxWT with severity of
intracranial artery disease suggests that the plaque burden measurements in extracranial
carotid arteries might be effective indicators for the severity of intracranial
atherosclerosis.
Introduction and Purpose
It has been shown that intracranial atherosclerotic
disease (ICAD) is the major cause of ischemic stroke in Chinese population [1].
Clinically, angiography is the major approach
for diagnosis of ICAD but this technique will underestimate plaque severity due
to lacking of vessel wall information. Recently, high resolution MR imaging (HRMRI) has been largely utilized to characterize ICAD.
However, using HRMRI to evaluate ICAD is challenging due to the limited spatial
resolution and insufficient suppression of cerebral spinal fluid. As a systemic
disease, atherosclerosis commonly involves multiple vascular beds simultaneously
and the co-existing atherosclerosis in intracranial and extracranial carotid
arteries has been found to be prevalent in stroke patients [2]. Most recently, 3D
multicontrast MR vessel wall imaging techniques have been proposed [3] which
have the potential to comprehensively characterize intracranial and extracranial
carotid artery atherosclerosis simultaneously. We hypothesized that
extracranial carotid artery atherosclerosis might be a surrogate for assessing
the ICAD. This study sought to investigate the relationship of atherosclerotic
disease between intracranial and extracrnaial carotid arteries using HRMRI.Methods
Study sample: Patients with
recent cerebrovascular symptoms and carotid plaque determined
by ultrasound were recruited. MR imaging: All patients underwent cerebrovascular
wall MR imaging on a 3.0T MR scanner (Phillips, Achieva TX) with
custom-designed 36-channel neurovascular coil. A 3D multicontrast vessel wall imaging
protocol was conducted to acquire MERGE, SNAP and T2-VISTA sequences with the following parameters: 3D MERGE: fast field echo (FFE), TR/TE
9.2/4.3ms, flip angle 6°; 3D SNAP: FFE, TR/TE 9.9/4.8 ms, flip angle 11/5°; and
3D T2-VISTA: turbo spin echo (TSE), TR/TE 2500/278 ms, flip angle 90°. All 3D
imaging sequences were acquired coronally with the same field of view of
40×160×250mm3 and isotropic spatial resolution of 0.8×0.8×0.8mm3.
Image
review: Two experienced radiologists reviewed the MR images with
consensus. Presence/absence of atherosclerotic plaque in intracranial or extracranial
carotid artery was determined. The maximum wall thickness (MaxWT), length, and
stenosis of each plaque were measured. The presence/absence of calcification,
lipid-rich necrotic core (LRNC), and intraplaque hemorrhage (IPH) for each
plaque was assessed. Statistical analysis: The
characteristics of plaques between intracranial and extracranial carotid
arteries were compared and their correlations were analyzed.Results
In
total, 45 patients (mean age: 58.3±8.5 years, 30 males) were recruited and 184 atherosclerotic plaques were detected (intracranial plaque=95, and extracranial plaque=89). The MaxWT, length, and stenosis of extracranial
carotid plaques were significantly larger than those of intracranial plaques
(all p<0.001, Table 1). Compared with intracranial plaques, extracranial
carotid artery plaques showed significantly greater prevalence of LRNC (70.8%
vs. 45.3%, p<0.001) but this difference was not found in
prevalence of calcification and IPH (all p>0.05) (Figure 1). Significant correlations
were found in presence of calcification (r=0.355, p=0.017) and plaque number (r=0.311,
p=0.037) between intracranial and extracranial carotid arteries. The plaque
number of extracranial carotid artery was significantly associated with the
MaxWT of intracranial plaques (r=0.307, p=0.040). Figure 2 represents an example showing multiple
plaques in extracranial carotid arteries and an atherosclerotic plaque in right
middle cerebral artery in the same patient. In predicting
intracranial severe stenosis (>50% stenosis), the odds ratio (OR) of MaxWT in extracranial
carotid arteries with increment of 1 standard deviation was 2.278 (95% CI,
1.003-5.174, p=0.049) and 12.432 (95% CI, 1.175-131.481, p=0.036) before and after adjusted for confounding factors, respetively.Disccusion
This study investigated the correlation between
intracranial and extracranial artery atherosclerotic disease in symptomatic
patients. We found that extracranial carotid artery atherosclerotic disease
showed larger plaque burden than intracranial artery disease. The prevalence
of LRNC in extracranial carotid arteries was higher than that of intracranial arteries. In addition, we found the number of extracranial artery plaques was
associated with intracranial artery plaque number and MaxWT. The plaque number
may represent the atherosclerotic plaque burden. Similar results were also seen
in patients with coronary artery disease. Investigators found the relationship
between coronary plaque number and coronary events [4,5]. In addition, we found
that the MaxWT of extracranial carotid artery plaques was independently associated with
intracraninal severe stenotic disease. Our findings suggest that the plaque
burden measurements in extracranial carotid artery might be effective indicators
for the severity of intracranial atherosclerosis.Conclusion
The plaque burden measurements, particularly the plaque number and maximum wall thickness, in extracranial carotid artery might be effective indicators for the severity of intracranial atherosclerosis.Acknowledgements
None.References
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