Xihai Zhao1, Dongye Li2, Huilin Zhao3, Xiaoyi Chen2, Huiyu Qiao1, Le He1, Rui Li1, Jianrong Xu3, and Chun Yuan1,4
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China, 2Beijing Institute for Brain Disorders, Beijing, People's Republic of China, 3Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China, 4Department of Radiology, University of Washington, Seattle, WA, United States
Synopsis
It is important to accurately identify carotid artery intraplaque hemorrhage
(IPH) due to its significant association with ischemic stroke. MP-RAGE sequence
has been demonstrated to be the best approach to detect carotid IPH. Recently, investigators
proposed SNAP imaging technique which allows non-contrast MR angiography and
identifying IPH simultaneously. This study sought to investigate the
performance of SNAP imaging in detecting carotid IPH by comparing with MP-RAGE.
We found that SNAP imaging detected more IPHs and showed larger IPH size than
MP-RAGE, suggesting SNAP imaging might be a sensitive imaging tool to
detect IPH.
Introduction
It has been shown that carotid artery atherosclerotic intraplaque hemorrhage
(IPH), as one of the key vulnerable features, can accelerate plaque progression
and predict ischemic cerebrovascular events [1]. In addition, investigators
found that, for patients with carotid plaques with IPH, stenting therapy group developed
more new ipsilateral silent
ischemic lesions than carotid endarterectomy (CEA) group, suggesting CEA might
be a better treatment for carotid plaques with IPH [2]. Therefore, it is
important to accurately identify IPH for stroke prevention. Ota et al
demonstrated that magnetization-prepared rapid acquisition gradient-echo (MP-RAGE)
sequence showed better agreement with histology in identification of carotid
artery IPH compared with time-of-flight (TOF) and T1-weighted (T1w) MR imaging
[3]. Recently, Wang et al proposed Simultaneous Non-contrast Angiography and
intraPlaque hemorrhage (SNAP) imaging sequence which allows non-contrast MR angiography
and identification of IPH simultaneously [4]. However, the usefulness of SNAP
imaging in assessing carotid IPH is unknown.Purpose
This study sought to investigate the performance of SNAP imaging in
characterizing carotid IPH by comparing with MP-RAGE.Methods
Study sample: Patients
with recent cerebrovascular symptoms and carotid atherosclerotic disease (>30%
stenosis) were recruited and underwent carotid MR imaging. MR imaging: Carotid MR imaging was performed on a 3.0T MR scanner (Philips, Achieva TX) with 8-channel
carotid coil. The MR Imaging protocol included TOF, T1w, T2-weighted (T2w),
MP-RAGE, and SNAP sequences. The imaging parameters are detailed in Figure
1. Image review: Two experienced
radiologists interpreted the MR images using CASCADE software with consensus. The
SNAP images were resliced to cross-sectional images with slice thickness of
2mm. The image review was conducted with two rounds: first round: the reviewers
outlined the lumen and outer wall boundaries using all imaging sequences by
matching the carotid bifurcation; second round: reviewers detected IPH on
MP-RAGE images and SNAP images with lumen and outer wall boundaries separately after
one month time interval to minimize memory bias. The IPH on MP-RAGE and SNAP
images was defined as hyperintense compared to muscle (signal intensity
ratio=1.5:1). Statistical analysis: The agreement between SNAP and
MP-RAGE in identifying IPH was determined using Cohen’s Kappa analysis. The
volume of IPH on MP-RAGE and SNAP images was compared using paired t test. The study
protocol was approved by institutional review board and consent form was
obtained from all subjects. Results
In total, 54 subjects (mean age: 63.1
± 5.7 years, 38 males) with 108 arteries and 1368 slices having acceptable image quality were
included and eligible for image review. Of 108 arteries, 44 (40.7%) and 62 (54.7%) arteries were
found have IPH on MP-RAGE and SNAP images, respectively. Of 1368 slices, 178 (13%)
and 309 (22.6%) were found to have IPH on MP-RAGE and SNAP images,
respectively. Moderate agreement was found between MP-RAGE and SNAP in
identification of IPH (k=0.511, P=0.029, Figure 2). For all slices having IPH on
both SNAP and MP-RAGE images (n=144), the area of IPH on SNAP was significantly
larger than that on MP-RAGE (17.9±18.2 mm2 vs. 9.2±10.5 mm2, P<0.001,
Figure 3). Figure 4 represents examples showing IPH on both MP-RAGE and SNAP images with
different size (a and b) and IPH was detected by SNAP imaging but not visible on MP-RAGE
image (c and d).Discussion
In this study, we investigated the performance of
SNAP imaging in identifying carotid IPH and found a moderate agreement between
SNAP and MP-RAGE. The SNAP imaging seemed to be more sensitive for IPH and
detected more IPHs than MP-RAGE. In addition, the size of IPH was
found to be nearly two times larger on SNAP imaging compared with MP-RAGE. This might
be due to the larger dynamic range and higher IPH-wall contrast-to-noise ratio
of SNAP compared with MP-RAGE [4]. Future studies with larger sample size and histology
validation are warranted to further investigate the effectiveness of SNAP imaging
in characterizing carotid IPH. Conclusion
The SNAP imaging shows moderate agreement with
MP-RAGE in identification of carotid IPH. SNAP imaging detects significantly more
IPHs and shows larger IPH size than MP-RAGE, suggesting SNAP imaging might be
more sensitive for assessing IPH.Acknowledgements
None.References
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