Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI

  • Kim, Yongcheol; 
  • Yoon, Hyuck-Jun; 
  • Suh, Jon; 
  • Kang, Si-Hyuck; 
  • Lim, Young-Hyo; 
  • ... Lee, Jang Hoon; 
  • 외 14명
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30

초록

<bold>Background: </bold>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. <bold>Objectives: </bold>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. <bold>Methods: </bold>This trial enrolled 400 patients with significant coronary artery disease undergoing PCI from 13 participating centers in South Korea. Patients were randomized in a 1:1 ratio to either AI-QCA-assisted or OCT-guided PCI. The primary endpoint was the post-PCI minimal stent area (MSA) assessed by OCT. The noninferiority of AI-QCA-assisted PCI to OCT-guided PCI regarding the post-PCI MSA was tested with a noninferiority margin of 0.8 mm(2). <bold>Results: </bold>A total of 395 patients (199 in the AI-QCA group and 196 in the OCT group) were included in the primary endpoint analysis. The post-PCI MSA was 6.3 +/- 2.2 mm(2) in the AI-QCA group and 6.2 +/- 2.2 mm(2) 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). <bold>Conclusions: </bold>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).

키워드

artificial intelligence; coronary imaging; coronary intervention; quantitative coronary angiography; stent(s); ELUTING STENT IMPLANTATION; INTRAVASCULAR ULTRASOUND; IMPACT; IVUS; INTERVENTION; MULTICENTER; LESION; AREA
제목
Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI
저자
Kim, Yongcheol; Yoon, Hyuck-Jun; Suh, Jon; Kang, Si-Hyuck; Lim, Young-Hyo; Jang, Duck Hyun; Park, Jae Hyoung; Shin, Eun-Seok; Bae, Jang-Whan; Lee, Jang Hoon; Oh, Jun-Hyok; Kang, Do-Yoon; Kweon, Jihoon; Jo, Min-Woo; Yun, Sung-Cheol; Park, Duk-Woo; Kim, Young-Hak; Park, Seung-Jung; Park, Hanbit; Ahn, Jung-Min
DOI
10.1016/j.jcin.2024.10.025
발행일
2025-01-27
유형
Article
저널명
JACC: Cardiovascular Interventions
권
18
호
2
페이지
187 ~ 197