基于CTA的颈动脉斑块钙化特征与急性缺血性脑卒中风险的相关性研究

    Correlation study of calcification characteristics in carotid artery plaque and acute ischemic stroke risk based on CTA

    • 摘要: 目的:探讨应用CT血管成像(CTA)显示颈动脉斑块内钙化细微特征及钙化成分的半定量分析,结合相关实验室指标,评估颈动脉斑块钙化特征与急性缺血性卒中风险的相关性。方法:回顾性分析行术前头颈部CTA检查的193例脑卒中病人,共213条颈内动脉,根据是否出现急性缺血性卒中症状分为无症状组(119例) 和症状组(74 例)。对2 组病人临床资料、CTA 测量数据行单因素分析和多因素logistic 回归分析,确定脑缺血疾病发病的独立危险因素。结果:单因素分析显示,糖尿病、高脂血症发生率、血管重塑比率、斑块钙化类型是颈动脉是否有临床症状的影响因素(P<0.05~P<0.01)。logistic回归分析显示,血管重塑比率与缺血症状呈正相关关系(OR=3.17,95%CI:1.23~7.82,P<0.01)。结论:颈动脉粥样硬化斑块的钙化特征与斑块的不稳定性密切相关,可以较准确地预测急性缺血性卒中的发生风险,且具有较好的可重复性。

       

      Abstract: Objective: To investigate the semi-quantitative analysis of subtle calcification features and calcium composition within carotid artery plaques using CT angiography (CTA),and to evaluate the correlation between carotid artery plaque calcification characteristics and risk of acute ischemic stroke combined with relevant laboratory indicators. Methods: A retrospective analysis was conducted on 193 stroke patients who underwent preoperative head and neck CTA examinations,with a total of 213 internal carotid arteries.Based on the presence or absence of acute ischemic stroke symptoms,the patients were divided into an asymptomatic group (n=119) and a symptomatic group (n=74).The clinical data and CTA measurement data in the two groups were subjected to univariate analysis and multivariate logistic regression analysis to identify independent risk factors for the onset of cerebral ischemic disease. Results: Univariate analysis revealed that diabetes mellitus,incidence of hyperlipidemia,vascular remodeling ratio,and plaque calcification type were influencing factors for the presence of clinical symptoms in carotid arteries (P<0.05 to P<0.01).Logistic regression analysis showed the vascular remodeling ratio was positively correlated with ischemic symptoms (OR=3.17,95%CI:1.23-7.82,P<0.01). Conclusions: The calcification characteristics of carotid atherosclerotic plaques are closely related to the instability of plaques,which can accurately predict the risk of acute ischemic stroke with good reproducibility.

       

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