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Fully automated quantitative coronary angiography versus optical coherence tomography guidance for coronary stent implantation (FLASH): Study protocol for a randomized controlled noninferiority trial

Authors
Kim, YongcheolPark, HanbitYoon, Hyuck-JunSuh, JonKang, Si-HyuckLim, Young-HyoJang, Duck HyunPark, Jae HyoungShin, Eun-SeokBae, Jang-WhanLee, Jang HoonOh, Jun-HyokKang, Do-YoonKweon, JihoonJo, Min-WooPark, Duk-WooKim, Young-HakAhn, Jung-Min
Issue Date
Sep-2024
Publisher
Mosby Inc.
Citation
American Heart Journal, v.275, pp 86 - 95
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
American Heart Journal
Volume
275
Start Page
86
End Page
95
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/195131
DOI
10.1016/j.ahj.2024.05.004
ISSN
0002-8703
1097-6744
Abstract
Background: Artificial intelligence-based quantitative coronary angiography (AI-QCA) has been developed to provide a more objective and reproducible data about the severity of coronary artery stenosis and the dimensions of the vessel for intervention in real-time, overcoming the limitations of significant inter- and intraobserver variability, and time-consuming nature of on-site QCA, without requiring extra time and effort. Compared with the subjective nature of visually estimated conventional CAG guidance, AI-QCA guidance provides a more practical and standardized angiography-based approach. Although the advantage of intravascular imaging-guided PCI is increasingly recognized, their broader adoption is limited by clinical and economic barriers in many catheterization laboratories. Methods: The FLASH (fully automated quantitative coronary angiography versus optical coherence tomography guidance for coronary stent implantation) trial is a randomized, investigator-initiated, multicenter, open-label, noninferiority trial comparing the AI-QCA-assisted PCI strategy with optical coherence tomography-guided PCI strategy in patients with significant coronary artery disease. All operators will utilize a novel, standardized AI-QCA software and PCI protocol in the AI-QCA-assisted group. A total of 400 patients will be randomized to either group at a 1:1 ratio. The primary endpoint is the minimal stent area (mm2), determined by the final OCT run after completion of PCI. Clinical follow-up and cost-effectiveness evaluations are planned at 1 month and 6 months for all patients enrolled in the study. Results: Enrollment of a total of 400 patients from the 13 participating centers in South Korea will be completed in February 2024. Follow-up of the last enrolled patients will be completed in August 2024, and primary results will be available by late 2024. Conclusion: The FLASH is the first clinical trial to evaluate the feasibility of AI-QCA-assisted PCI, and will provide the clinical evidence on AI-QCA assistance in the field of coronary intervention. Clinical trial registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT05388357.
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Lim, Young-Hyo
서울 의과대학 (DEPARTMENT OF INTERNAL MEDICINE)
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