Artificial Intelligence Enhanced Analysis of Coronary CT Angiography to Facilitate Chronic Total Occlusion Percutaneous Coronary Intervention.
Authors
Affiliations (4)
Affiliations (4)
- Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
- Center for Coronary Artery Disease, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA.
Abstract
In patients with chronic total occlusions (CTO), percutaneous coronary intervention (PCI) often has modest success rates unless performed by experienced centers and operators. Coronary computed tomography angiography (CCTA) guidance can enhance the success rates of CTO PCI. Its application, however, is limited due to the lack of expertise among interventional cardiologists in CCTA analysis, logistical barriers, and insufficient multidisciplinary collaboration. This review explores the emerging role of novel artificial intelligence (AI)-based platforms in facilitating CTO detection and pre-procedural CTO PCI planning, which enables interventional cardiologists to perform CCTA analysis without having advanced imaging training. Additionally, we provide a guide on how to use these tools and discuss the future implications of utilizing CCTA for CTO diagnosis and PCI planning.