Mester Andras, Benedek Imre, Rat Nora, Tolescu Cosmin, Polexa Stefania Alexandra, Benedek Theodora
Department of Cardiology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540142 Târgu Mureș, Romania.
Cardiology Clinic of the Emergency Clinical County Hospital of Târgu Mureș, 540142 Târgu Mureș, Romania.
Diagnostics (Basel). 2021 Jun 18;11(6):1114. doi: 10.3390/diagnostics11061114.
Cardiac complications are among the most frequent extrapulmonary manifestations of COVID-19 and are associated with high mortality rates. Moreover, positive SARS-CoV-2 patients with underlying cardiovascular disease are more likely to require intensive care and are at higher risk of death. The underlying mechanism for myocardial injury is multifaceted, in which the severe inflammatory response causes myocardial inflammation, coronary plaque destabilization, acute thrombotic events, and ischemia. Cardiac magnetic resonance (CMR) imaging is the non-invasive method of choice for identifying myocardial injury, and it is able to differentiate between underlying causes in various and often challenging clinical scenarios. Multimodal imaging protocols that incorporate CMR and computed tomography provide a complex evaluation for both respiratory and cardiovascular complications of SARS-CoV2 infection. This, in relation to biological evaluation of systemic inflammation, can guide appropriate therapeutic management in every stage of the disease. The use of artificial intelligence can further improve the diagnostic accuracy of these imaging techniques, thus enabling risk stratification and evaluation of prognosis. The present manuscript aims to review the current knowledge on the possible modalities for imaging COVID-related myocardial inflammation or post-COVID coronary inflammation and atherosclerosis.
心脏并发症是COVID-19最常见的肺外表现之一,且与高死亡率相关。此外,患有基础心血管疾病的SARS-CoV-2阳性患者更有可能需要重症监护,且死亡风险更高。心肌损伤的潜在机制是多方面的,其中严重的炎症反应会导致心肌炎症、冠状动脉斑块不稳定、急性血栓形成事件和缺血。心脏磁共振(CMR)成像是非侵入性识别心肌损伤的首选方法,并且能够在各种且通常具有挑战性的临床情况下区分潜在病因。结合CMR和计算机断层扫描的多模态成像方案为SARS-CoV2感染的呼吸和心血管并发症提供了综合评估。这与全身炎症的生物学评估相关,可以在疾病的各个阶段指导适当的治疗管理。人工智能的使用可以进一步提高这些成像技术的诊断准确性,从而实现风险分层和预后评估。本手稿旨在综述目前关于对COVID相关心肌炎症或COVID后冠状动脉炎症和动脉粥样硬化进行成像的可能方式的知识。