Suppr超能文献

颈动脉斑块成像与动脉粥样硬化性心血管疾病风险

Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease.

作者信息

Zhu Guangming, Hom Jason, Li Ying, Jiang Bin, Rodriguez Fatima, Fleischmann Dominik, Saloner David, Porcu Michele, Zhang Yanrong, Saba Luca, Wintermark Max

机构信息

Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.

Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.

出版信息

Cardiovasc Diagn Ther. 2020 Aug;10(4):1048-1067. doi: 10.21037/cdt.2020.03.10.

Abstract

Carotid artery plaque is a measure of atherosclerosis and is associated with future risk of atherosclerotic cardiovascular disease (ASCVD), which encompasses coronary, cerebrovascular, and peripheral arterial diseases. With advanced imaging techniques, computerized tomography (CT) and magnetic resonance imaging (MRI) have shown their potential superiority to routine ultrasound to detect features of carotid plaque vulnerability, such as intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC), and calcification. The correlation between imaging features and histological changes of carotid plaques has been investigated. Imaging of carotid features has been used to predict the risk of cardiovascular events. Other techniques such as nuclear imaging and intra-vascular ultrasound (IVUS) have also been proposed to better understand the vulnerable carotid plaque features. In this article, we review the studies of imaging specific carotid plaque components and their correlation with risk scores.

摘要

颈动脉斑块是动脉粥样硬化的一种度量指标,与未来发生动脉粥样硬化性心血管疾病(ASCVD)的风险相关,ASCVD包括冠状动脉疾病、脑血管疾病和外周动脉疾病。借助先进的成像技术,计算机断层扫描(CT)和磁共振成像(MRI)已显示出其相对于常规超声在检测颈动脉斑块易损特征方面的潜在优势,如斑块内出血(IPH)、富含脂质的坏死核心(LRNC)、纤维帽(FC)和钙化。颈动脉斑块的成像特征与组织学变化之间的相关性已得到研究。颈动脉特征成像已被用于预测心血管事件的风险。还提出了其他技术,如核成像和血管内超声(IVUS),以更好地了解易损颈动脉斑块的特征。在本文中,我们综述了关于特定颈动脉斑块成分成像及其与风险评分相关性的研究。

相似文献

3
MR imaging of vulnerable carotid plaque.易损性颈动脉斑块的磁共振成像
Cardiovasc Diagn Ther. 2020 Aug;10(4):1019-1031. doi: 10.21037/cdt.2020.03.12.
4
Imaging Approaches to the Diagnosis of Vascular Diseases.血管疾病诊断的影像学方法
Curr Atheroscler Rep. 2022 Feb;24(2):85-96. doi: 10.1007/s11883-022-00988-x. Epub 2022 Jan 26.

引用本文的文献

本文引用的文献

8
The present and future of deep learning in radiology.深度学习在放射学中的现在和未来。
Eur J Radiol. 2019 May;114:14-24. doi: 10.1016/j.ejrad.2019.02.038. Epub 2019 Mar 2.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验