The role of cardiac computed tomography in predicting adverse coronary events.
adverse coronary events
cardiac computed tomography
computational fluid dynamics
coronary artery calcium score
coronary artery disease
perivascular fat
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2022
2022
Historique:
received:
14
04
2022
accepted:
28
06
2022
entrez:
1
8
2022
pubmed:
2
8
2022
medline:
2
8
2022
Statut:
epublish
Résumé
Cardiac computed tomography (CCT) is now considered a first-line diagnostic test for suspected coronary artery disease (CAD) providing a non-invasive, qualitative, and quantitative assessment of the coronary arteries and pericoronary regions. CCT assesses vascular calcification and coronary lumen narrowing, measures total plaque burden, identifies plaque composition and high-risk plaque features and can even assist with hemodynamic evaluation of coronary lesions. Recent research focuses on computing coronary endothelial shear stress, a potent modulator in the development and progression of atherosclerosis, as well as differentiating an inflammatory from a non-inflammatory pericoronary artery environment using the simple measurement of pericoronary fat attenuation index. In the present review, we discuss the role of the above in the diagnosis of coronary atherosclerosis and the prediction of adverse cardiovascular events. Additionally, we review the current limitations of cardiac computed tomography as an imaging modality and highlight how rapid technological advancements can boost its capacity in predicting cardiovascular risk and guiding clinical decision-making.
Identifiants
pubmed: 35911522
doi: 10.3389/fcvm.2022.920119
pmc: PMC9334665
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
920119Informations de copyright
Copyright © 2022 Emfietzoglou, Mavrogiannis, Samaras, Rampidis, Giannakoulas and Kampaktsis.
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