Computational modelling of cardiac perfusion to guide Percutaneous Coronary Intervention: a treatment planning tool

Key Points

• The aim is to evaluate how computational modeling can improve treatment planning for percutaneous coronary interventions using imaging data.
• Utilized non-invasive imaging techniques like cCTA and stress-CTP.
• Developed a virtual PCI model to simulate cardiac perfusion scenarios.
• Conducted assessments to determine optimization of PCI planning.
• Demonstrated the effectiveness of virtual PCI in providing patient-specific insights.
• Showed early integration of imaging improves treatment workflow for cardiologists.
• Indicated higher accuracy in PCI planning through the computational model.