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缺血性脑卒中:颅内动脉钙化的测量可改善无症状性冠状动脉疾病的预测。

Ischemic stroke: measurement of intracranial artery calcifications can improve prediction of asymptomatic coronary artery disease.

机构信息

Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.

出版信息

Radiology. 2013 Sep;268(3):842-9. doi: 10.1148/radiol.13122417. Epub 2013 May 14.

Abstract

PURPOSE

To examine the associations between intracranial artery calcifications (IACs) and coronary artery calcifications (CACs) in patients with ischemic stroke and to assess the predictive value of IAC for asymptomatic coronary artery disease (CAD).

MATERIALS AND METHODS

This retrospective study, approved by an institutional review board that waived the need for informed consent, included 314 consecutive patients who had acute ischemic stroke and who underwent both brain and coronary computed tomography (CT) within 1 month of stroke. IAC was quantified semiautomatically by calculating both Agatston scores (area of calcification multiplied by a weighted value assigned to its highest Hounsfield unit) and volumes on thin-section unenhanced images and was correlated with coronary calcium scores and volumes. Quartiles were created for IAC scores and were used for logistic regression analysis. An optimal IAC score cutoff value was determined and used to predict the presence of asymptomatic CAD. Independent factors for asymptomatic CAD were assessed by using multiple logistic regression analysis. Receiver operating characteristic curve analysis was performed to evaluate the added value of IAC scores for prediction of asymptomatic CAD.

RESULTS

IAC and CAC were significantly correlated for both Agatston scores and volumes (R = 0.665 and 0.663, respectively; P < .001). A graded association was found between IAC scores and presence of asymptomatic CAD. Both IAC scores of 120.11 or greater (odds ratio [OR], 2.57; 95% confidence interval [CI]: 1.45, 4.55) and diabetes mellitus (OR, 4.23; 95% CI: 2.42, 7.4) were independent predictors for asymptomatic CAD. Adding the IAC score to analytic models significantly improved the ability to predict asymptomatic CAD.

CONCLUSION

The IAC scores quantified by using unenhanced CT correlate significantly with coronary calcium scores and may serve as an independent predictor of asymptomatic CAD in patients with ischemic stroke.

摘要

目的

探讨缺血性脑卒中患者颅内动脉钙化(IAC)与冠状动脉钙化(CAC)之间的相关性,并评估 IAC 对无症状性冠状动脉疾病(CAD)的预测价值。

材料和方法

这项回顾性研究获得了机构审查委员会的批准,该委员会豁免了知情同意的要求,纳入了 314 例在脑卒中后 1 个月内同时接受脑部和冠状动脉计算机断层扫描(CT)检查的急性缺血性脑卒中患者。使用薄层非增强图像半自动计算钙化面积乘以最高亨氏单位加权值的 Agatston 评分和体积来量化 IAC,并将其与冠状动脉钙评分和体积相关联。为 IAC 评分创建四分位数,并用于逻辑回归分析。确定最佳 IAC 评分截断值以预测无症状 CAD 的存在。使用多元逻辑回归分析评估无症状 CAD 的独立因素。进行接受者操作特征曲线分析以评估 IAC 评分对预测无症状 CAD 的附加价值。

结果

IAC 和 CAC 的 Agatston 评分和体积均呈显著正相关(R 分别为 0.665 和 0.663,P<0.001)。发现 IAC 评分与无症状 CAD 的存在呈梯度相关性。IAC 评分≥120.11(比值比[OR],2.57;95%置信区间[CI]:1.45,4.55)和糖尿病(OR,4.23;95%CI:2.42,7.4)均为无症状 CAD 的独立预测因子。将 IAC 评分加入分析模型可显著提高预测无症状 CAD 的能力。

结论

使用非增强 CT 量化的 IAC 评分与冠状动脉钙评分显著相关,可能是缺血性脑卒中患者无症状 CAD 的独立预测因子。

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