British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland, UK.
MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
Eur Heart J Cardiovasc Imaging. 2020 Oct 20;21(11):1177-1183. doi: 10.1093/ehjci/jeaa201.
Atherosclerotic plaques prone to rupture may cause acute myocardial infarction (MI) but can also heal without causing an event. Certain common histopathological features, including inflammation, a thin fibrous cap, positive remodelling, a large necrotic core, microcalcification, and plaque haemorrhage are commonly found in plaques causing an acute event. Recent advances in imaging techniques have made it possible to detect not only luminal stenosis and overall coronary atherosclerosis burden but also to identify such adverse plaque characteristics. However, the predictive value of identifying individual adverse atherosclerotic plaques for future events has remained poor. In this Position Paper, the relationship between vulnerable plaque imaging and MI is addressed, mainly for non-invasive assessments but also for invasive imaging of adverse plaques in patients undergoing invasive coronary angiography. Dynamic changes in atherosclerotic plaque development and composition may indicate that an adverse plaque phenotype should be considered at the patient level rather than for individual plaques. Imaging of adverse plaque burden throughout the coronary vascular tree, in combination with biomarkers and biomechanical parameters, therefore holds promise for identifying subjects at increased risk of MI and for guiding medical and invasive treatment.
易破裂的动脉粥样硬化斑块可能导致急性心肌梗死(MI),但也可能在不引发事件的情况下自行愈合。在导致急性事件的斑块中,常见的某些共同组织病理学特征包括炎症、薄纤维帽、正性重构、大的坏死核心、微钙化和斑块内出血。成像技术的最新进展不仅使人们能够检测管腔狭窄和冠状动脉粥样硬化总负荷,还能够识别出这种不良斑块特征。然而,识别单个易损斑块对未来事件的预测价值仍然较差。在本立场文件中,主要针对非侵入性评估,也针对接受冠状动脉介入性血管造影的患者进行了易损斑块的侵袭性成像,探讨了易损斑块成像与 MI 之间的关系。动脉粥样硬化斑块发展和组成的动态变化可能表明,在患者层面而非单个斑块层面上应考虑不良斑块表型。因此,整个冠状动脉血管树的不良斑块负荷的成像,结合生物标志物和生物力学参数,有望用于识别 MI 风险增加的受试者,并指导药物和介入治疗。