TY - JOUR
T1 - Non-invasive coronary imaging in patients with COVID-19
T2 - A narrative review
AU - Onnis, Carlotta
AU - Muscogiuri, Giuseppe
AU - Paolo Bassareo, Pier
AU - Cau, Riccardo
AU - Mannelli, Lorenzo
AU - Cadeddu, Christian
AU - Suri, Jasjit S.
AU - Cerrone, Giulia
AU - Gerosa, Clara
AU - Sironi, Sandro
AU - Faa, Gavino
AU - Carriero, Alessandro
AU - Pontone, Gianluca
AU - Saba, Luca
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
KW - Atherosclerosis
KW - COVID-19
KW - Coronary CT angiography
KW - Coronary imaging
UR - http://www.scopus.com/inward/record.url?scp=85124595749&partnerID=8YFLogxK
U2 - 10.1016/j.ejrad.2022.110188
DO - 10.1016/j.ejrad.2022.110188
M3 - Review article
SN - 0720-048X
VL - 149
JO - European Journal of Radiology
JF - European Journal of Radiology
M1 - 110188
ER -