Clinical Impact of Intravascular Ultrasound-Based Artificial Intelligence Technologies (INNOVATE-PCI)
Trial Parameters
Brief Summary
This study is a prospective, multicenter study in the real practice to validate the diagnostic performances and clinical impact of coronary angiography \& intravascular ultrasound (IVUS)-based models developed by machine learning (ML).
Eligibility Criteria
Inclusion Criteria: * Age 19 years or older * Symptomatic angina patients with objective myocardial ischemia * Patients with at least one major epicardial coronary artery that requires stent implantation * Subject who signs with informed consent form Patient exclusion Criteria: * ST-segment elevation MI at admission * Patients who underwent coronary artery bypass surgery or heart transplantation * Left ventricular ejection fraction \<30% * Cardiogenic shock * Patients whose life expectancy \<2 years * Woman who are breastfeeding, pregnant or planning to become pregnant during study * Patients in whom anti-platelets or heparin is contraindicated Lesion exclusion Criteria: * Left main culprit lesion (angiographic diameter stenosis \>50%) * Thrombus-containing lesion * In-stent restenosis * Side branch lesion * Chronic total occlusion * Small vessel with reference diameter \<2.5mm * Coronary spasm despite administration of nitrate * Inability for imaging catheter to pass through tight ste