多种技术评估颈动脉斑块与急性脑卒中之间的关系。

Jianghong Chen, Bingshuang Wang, Jianshi Song, Zhengqin Qi, Yandong Deng
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引用次数: 0

摘要

目的:应用多模式超声成像方法(二维、超声造影和弹性成像)评估斑块易损性的重要特征,探讨斑块与急性脑卒中的关系。方法:共纳入244例颈动脉斑块患者,其中104例斑块同侧急性脑卒中患者为病例组,140例为对照组。所有患者均接受了常规颈动脉超声、增强超声(CEUS)和弹性成像(SWE)检查。对每次检查的结果进行比较和分析,并讨论了结果与中风发生的关系。结果:急性脑卒中组有饮酒史的男性造影剂扩散方向高于对照组,但斑块灰度值(GSM)、最大、平均和最小杨氏弹性模量成像值(YM)略低于对照组(P <  Logistic回归分析显示,腰体比(WHtR)、GSM、YM、新生血管密度和造影剂扩散方向是预测急性缺血性脑卒中的独立危险因素。各因素的影响程度从强到弱依次为腰体比、新生血管密度、GSM和YM。回归模型诊断急性缺血性脑卒中的曲线下面积(AUC)为0.746。结论:多种超声技术相结合来评估颈动脉斑块的脆弱性并预测急性脑卒中的发生,为临床决策提供了有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple techniques to evaluate the relationship between carotid artery plaque and acute stroke.

Aim: To evaluate the important characteristics of the plaque vulnerability using multimodal ultrasound imaging methods (2D, contrast-enhanced ultrasound, and elastography), and to explore the relationship between plaque and acute stroke.

Methods: A total of 244 patients with carotid plaque were enrolled, including 104 patients with acute stroke ipsilateral to the plaque as the case group and 140 patients as the control group. All patients underwent conventional carotid ultrasound, contrast-enhanced ultrasound (CEUS) and elastography (SWE). The results of each examination were compared and analyzed, and the relationship between the results and the occurrence of stroke was discussed.

Results: In the acute stroke group, the men, with a history of alcohol consumption the direction of contrast media diffusion was higher than that in the control group, but the plaque gray value (GSM), maximum, average and minimum Young's elastic modulus imaging values (YM) were slightly lower than those in the control group (P < 0.05). Logistic regression analysis showed that waist to body ratio (WHtR), GSM, YM, neovascularization density and contrast diffusion direction were independent risk factors for predicting acute ischemic stroke. The influence degree of each factor from strong to weak was waist to body ratio, neovascularity density, GSM and YM, respectively. The area under the curve (AUC) for the diagnosis of acute ischemic stroke by regression model was 0.746.

Conclusion: The combination of multiple ultrasound techniques to evaluate the vulnerability of carotid plaque and predict the occurrence of acute stroke provides valuable information for clinical decision making.

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