Carotid intraplaque hemorrhage (IPH) is associated with cardiovascular events. Calcification, frequently accompanied with IPH, may play a role in occurrence of IPH. In this study we aimed to investigate the associations between calcification characteristics and IPH in carotid plaques. Our results suggest that surface calcification and multiple calcification in carotid atherosclerotic plaques are independently associated with presence IPH. Both quantity and location of calcification may play important roles in occurrence of IPH. These findings may provide novel insights for understanding the mechanism of IPH.
Study population
Eighty-five patients with recent ischemic stroke or TIA (within 2 weeks) and carotid artery atherosclerotic plaque determined by ultrasound were recruited. All patients underwent MR imaging for bilateral carotid arteries. The clinical information was also recorded.
Carotid MR imaging and Image interpretation
Carotid MR imaging was performed on a whole body 3.0-Tesla MR scanner (Achieva TX, Philips, the Netherlands) with a custom-designed 36-channel neurovascular coil [7]. The carotid arteries were imaged using a multicontrast vessel wall imaging protocol (3D-TOF, T1W-QIR, T2W-MDIR, MP-RAGE). All carotid MR images were interpreted by two radiologists with more than 5 years’ experience blinded to clinical information using a custom-designed software of CASCADE [8]. Only plaques with composition such as calcification, lipid-rich necrotic core, or IPH, were further studied. The location of the calcification was graded with the following categories: surface calcification; mixed calcification (both surface and deep calcification are present), and deep calcification. The calcification was also classified into single and multiple calcifications. The wall thickness for each plaque was measured.
Statistical analysis
Continuous quantitative variables are described as mean±SD and the percentage is used to describe the categorical variables. The characteristics of clinical information and carotid calcifications between patients with and without carotid IPH were compared. Generalized estimating equations were used to eliminate the correlation between plaques in bilateral carotid arteries in the same participant. Logistic regression models were used to calculate the odds ratio (OR) and corresponding 95% confidence interval (CI) of characteristics of calcification in discriminating presence of carotid IPH. Univariate regression analysis and multivariate regression models were utilized to adjust for potential confounding factors. All statistical analysis was performed with SAS software version 9.4 (SAS Institute Inc, Cary, NC).
The clinical characteristics of this study population are summarized in Table 1. In this study population, 145 plaques were found in carotid arteries. Of these 145 plaques, 3 were excluded due to poor image quality (IQ=1). Of the remaining 142 carotid plaques, 40 (28.2%) had IPH and 92 (64.8%) had calcification. Table 2 presents the differences of clinical risk factors between plaques with and without IPH.
Correlation between carotid plaque calcification and IPH
Compared with carotid plaques without IPH, those with IPH showed greater maximum wall thickness (4.2 ± 1.7mm vs. 3.0 ± 1.0mm, P<0.001) and prevalence of calcification (87.5% vs. 55.9%, P<0.001). In carotid plaques with IPH, the incidence of multiple calcification, surface calcification and mixed calcification was significantly higher than that of plaques without IPH (all P<0.05, Table 3). However, the difference of incidence of single calcification or deep calcification was not statistically significant between plaques with and without IPH (Table 3 and Figure 1).
Table 4 showed the associations between characteristics of calcification and IPH in carotid plaques. In univariate regression analysis, presence of calcification (odds ratio [OR], 4.4; 95% confidence interval [CI], 1.6-12.5; P=0.005), multiple calcification (OR, 7.6; 95% CI, 2.6-22.1; P<0.001), surface calcification (OR, 12.2; 95% CI, 2.9-50.7; P<0.001), and mixed calcification (OR, 12.4; 95%CI, 3.6-42.5; P<0.001) were significantly associated with IPH. After adjusted for age, gender, smoke, TC and LDL (model 1) and age, gender, smoke, TC, LDL and maximum wall thickness (model 2), above associations remained statistically significant (all P<0.05, Table 4). In contrast, significant correlation was not found between presence of single calcification and deep calcification and IPH (both P>0.05, Table 4).
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