Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention.

Détails

ID Serval
serval:BIB_BD5DCDFE3A99
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention.
Périodique
Interventional cardiology
Auteur⸱e⸱s
Ohashi H., Bouisset F., Buytaert D., Seki R., Sonck J., Sakai K., Belmonte M., Kitslaar P., Updegrove A., Amano T., Andreini D., De Bruyne B., Collet C.
ISSN
1756-1485 (Electronic)
ISSN-L
1756-1485
Statut éditorial
Publié
Date de publication
2023
Peer-reviewed
Oui
Volume
18
Pages
e26
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Résumé
The role of coronary CT angiography for the diagnosis and risk stratification of coronary artery disease is well established. However, its potential beyond the diagnostic phase remains to be determined. The current review focuses on the insights that coronary CT angiography can provide when planning and performing percutaneous coronary interventions. We describe a novel approach incorporating anatomical and functional pre-procedural planning enhanced by artificial intelligence, computational physiology and online 3D CT guidance for percutaneous coronary interventions. This strategy allows the individualisation of patient selection, optimisation of the revascularisation strategy and effective use of resources.
Mots-clé
3D CT-derived coronary geometry, Coronary CT angiography, coronary artery disease, fractional flow reserve derived from CT, percutaneous coronary intervention
Pubmed
Open Access
Oui
Création de la notice
10/01/2024 11:40
Dernière modification de la notice
11/01/2024 8:15
Données d'usage