Background: Fractional flow reserve (FFR)-guided percutaneous coronary intervention (PCI) for chronic coronary syndromes (CCS) improves outcomes compared with angiography-guided PCI, however cardiac events still occur during long-term follow-up of FFR-negative patients. In the PREVENT study preventive PCI reduced cardiac-events in lesions which were FFR-negative (FFR > 0.80) and had intracoronary imaging defined vulnerable plaque.
View Article and Find Full Text PDFTraditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility. Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities.
View Article and Find Full Text PDFPrimary Percutaneous Coronary Intervention (PCI) has significantly contributed to reducing the mortality of patients with ST-segment elevation myocardial infarction (STEMI) even in cardiogenic shock and is now the standard of care in most of Japanese institutions. The Task Force on Primary PCI of the Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT) proposed an expert consensus document for the management of acute myocardial infarction (AMI) focusing on procedural aspects of primary PCI in 2018 and updated in 2022. Recently, the European Society of Cardiology (ESC) published the guidelines for the management of acute coronary syndrome in 2023.
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