Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554, Monserrato (Cagliari) 09045, Italy.
Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, University Milano Bicocca, Milan, Italy.
Eur J Radiol. 2022 Apr;149:110188. doi: 10.1016/j.ejrad.2022.110188. Epub 2022 Feb 1.
SARS-CoV-2 infection, responsible for COVID-19 outbreak, can cause cardiac complications, worsening outcome and prognosis. In particular, it can exacerbate any underlying cardiovascular condition, leading to atherosclerosis and increased plaque vulnerability, which may cause acute coronary syndrome. We review current knowledge on the mechanisms by which SARS-CoV-2 can trigger endothelial/myocardial damage and cause plaque formation, instability and deterioration. The aim of this review is to evaluate current non-invasive diagnostic techniques for coronary arteries evaluation in COVID-19 patients, such as coronary CT angiography and atherosclerotic plaque imaging, and their clinical implications. We also discuss the role of artificial intelligence, deep learning and radiomics in the context of coronary imaging in COVID-19 patients.
SARS-CoV-2 感染是 COVID-19 疫情的罪魁祸首,可导致心脏并发症,使病情恶化并影响预后。具体来说,它可使任何潜在的心血管疾病恶化,导致动脉粥样硬化和斑块易损性增加,进而引起急性冠状动脉综合征。我们综述了 SARS-CoV-2 引发内皮/心肌损伤和斑块形成、不稳定及恶化的相关机制。本文旨在评估目前用于评估 COVID-19 患者冠状动脉的非侵入性诊断技术,如冠状动脉 CT 血管造影和动脉粥样硬化斑块成像及其临床意义。我们还讨论了人工智能、深度学习和放射组学在 COVID-19 患者冠状动脉成像中的作用。