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Artificial Intelligence–Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography–Guided PCI: The FLASH Trial

Authors
 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  ;  Seung-Jung Park  ;  Hanbit Park  ;  Jung-Min Ahn  ;  FLASH Trial Investigators 
Citation
 JACC-CARDIOVASCULAR INTERVENTIONS, Vol.18(2) : 187-197, 2025-01 
Journal Title
JACC-CARDIOVASCULAR INTERVENTIONS
ISSN
 1936-8798 
Issue Date
2025-01
MeSH
Aged ; Artificial Intelligence* ; Automation ; Coronary Angiography* ; Coronary Artery Disease* / diagnostic imaging ; Coronary Artery Disease* / therapy ; Coronary Vessels / diagnostic imaging ; Female ; Humans ; Male ; Middle Aged ; Percutaneous Coronary Intervention* / adverse effects ; Percutaneous Coronary Intervention* / instrumentation ; Predictive Value of Tests* ; Prospective Studies ; Radiographic Image Interpretation, Computer-Assisted ; Reproducibility of Results ; Republic of Korea ; Stents* ; Time Factors ; Tomography, Optical Coherence* ; Treatment Outcome
Keywords
artificial intelligence ; coronary imaging ; coronary intervention ; quantitative coronary angiography ; stent(s)
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: 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 mm2.

Results: 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 mm2 in the AI-QCA group and 6.2 ± 2.2 mm2 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).
Full Text
https://www.sciencedirect.com/science/article/pii/S1936879824014225
DOI
10.1016/j.jcin.2024.10.025
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Yongcheol(김용철) ORCID logo https://orcid.org/0000-0001-5568-4161
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/204444
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