Artificial Intelligence–Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography–Guided PCI
Year: 2024
Type: article
Abstract: BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor. OBJECTIVES: This study aimed to evaluate the efficacy of AI-QCA-assisted percutaneous coronary intervention (PCI) compared to optical coherence tomography (OCT)-guided PCI in terms of post-PCI results. METHODS: . RESULTS: in the OCT group (difference, -0.16; 95% CI: -0.59 to 0.28; P for noninferiority < 0.001). Other OCT-defined endpoints, such as stent underexpansion (50.8% [101/199] vs 54.6% [107/196]; P = 0.48), dissection (15.6% [31/199] vs 12.8% [25/196]; P = 0.42), and untreated reference segment disease (15.1% [30/199] vs 13.3% [26/196]; P = 0.61), were not significantly different between groups, except for a higher incidence of stent malapposition in the AI-QCA group (13.6% [27/199] vs 5.6 [11/196]; P = 0.007). CONCLUSIONS: This study demonstrated the noninferiority of AI-QCA-assisted PCI to OCT-guided PCI in achieving MSA with comparable OCT-defined endpoints. (Fully Automated Quantitative Coronary Angiography Versus Optical Coherence Tomography Guidance for Coronary Stent Implantation [FLASH]; NCT05388357).
Authors: Yongcheol Kim, Yongcheol Kim, Hyuck-Jun Yoon, Jon Suh, Si-Hyuck Kang, Young-Hyo Lim, Duck Hyun Jang, Jae Hyoung Park, Eun-Seok Shin, Jang-Whan Bae, Jang Hoon Lee, Jun-Hyok Oh, Do-Yoon Kang, Jihoon Kweon, Min-Woo Jo, Sung-Cheol Yun, Duk-Woo Park, Young-Hak Kim, Young-Hak Kim, Seung-Jung Park, Hanbit Park, Jung-Min Ahn, Y. Kim, Y. Kim, H.J. Yoon, J. Suh
Institutions: Yonsei University, Asan Medical Center, University of Ulsan, Yongin Severance Hospital, Keimyung University Daegu Dongsan Hospital, Keimyung University Dongsan Hospital, Keimyung University, Soonchunhyang University Hospital Bucheon, Seoul National University, Seoul National University Bundang Hospital, Hanyang University, Sejong General Hospital, Korea University Anam Hospital, Ulsan University Hospital, Kyungpook National University Hospital, Kyungpook National University, Pusan National University Hospital, Pusan National University, Gangneung Asan Hospital
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,750
OpenAlex ID: W4403960695