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

Area of Science:

• Cardiovascular Imaging
• Interventional Cardiology
• Medical Artificial Intelligence

Background:

• Coronary CT angiography (CCTA) is established for diagnosing and risk-stratifying coronary artery disease (CAD).
• The utility of CCTA in guiding percutaneous coronary interventions (PCI) beyond initial diagnosis requires further exploration.
• Optimizing PCI strategies necessitates advanced pre-procedural planning tools.

Purpose of the Study:

• To review the role of CCTA in the planning and execution of PCI.
• To introduce a novel, integrated approach for pre-procedural planning and intra-procedural guidance in PCI using CCTA.
• To highlight the benefits of AI, computational physiology, and 3D CT guidance in optimizing PCI.

Main Methods:

• Review of current literature on CCTA applications in PCI.
• Description of a novel workflow integrating anatomical and functional data from CCTA.
• Incorporation of artificial intelligence (AI) and computational physiology for enhanced planning.
• Utilization of online 3D CT guidance during PCI procedures.

Main Results:

• CCTA provides valuable anatomical and functional information for PCI planning.
• AI and computational physiology can refine revascularization strategies.
• Online 3D CT guidance facilitates precise lesion targeting and stent deployment.
• This integrated approach enables personalized patient selection and resource utilization.

Conclusions:

• CCTA has significant potential in guiding PCI beyond its diagnostic role.
• An AI-enhanced, multi-modal planning and guidance strategy can optimize PCI outcomes.
• This approach facilitates individualized treatment and efficient healthcare resource allocation.