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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

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dc.contributor.authorKim, Yongcheol-
dc.contributor.authorPark, Hanbit-
dc.contributor.authorYoon, Hyuck-Jun-
dc.contributor.authorSuh, Jon-
dc.contributor.authorKang, Si-Hyuck-
dc.contributor.authorLim, Young-Hyo-
dc.contributor.authorJang, Duck Hyun-
dc.contributor.authorPark, Jae Hyoung-
dc.contributor.authorShin, Eun-Seok-
dc.contributor.authorBae, Jang-Whan-
dc.contributor.authorLee, Jang Hoon-
dc.contributor.authorOh, Jun-Hyok-
dc.contributor.authorKang, Do-Yoon-
dc.contributor.authorKweon, Jihoon-
dc.contributor.authorJo, Min-Woo-
dc.contributor.authorPark, Duk-Woo-
dc.contributor.authorKim, Young-Hak-
dc.contributor.authorAhn, Jung-Min-
dc.date.accessioned2024-11-28T08:27:48Z-
dc.date.available2024-11-28T08:27:48Z-
dc.date.issued2024-09-
dc.identifier.issn0002-8703-
dc.identifier.issn1097-6744-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/195131-
dc.description.abstractBackground: 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.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherMosby Inc.-
dc.titleFully automated quantitative coronary angiography versus optical coherence tomography guidance for coronary stent implantation (FLASH): Study protocol for a randomized controlled noninferiority trial-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.ahj.2024.05.004-
dc.identifier.scopusid2-s2.0-85196971902-
dc.identifier.wosid001282378800001-
dc.identifier.bibliographicCitationAmerican Heart Journal, v.275, pp 86 - 95-
dc.citation.titleAmerican Heart Journal-
dc.citation.volume275-
dc.citation.startPage86-
dc.citation.endPage95-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaCardiovascular System & Cardiology-
dc.relation.journalWebOfScienceCategoryCardiac & Cardiovascular Systems-
dc.subject.keywordPlusINTRAVASCULAR ULTRASOUND-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordPlusINTERVENTION-
dc.subject.keywordPlusLESION-
dc.subject.keywordPlusAREA-
dc.subject.keywordPlusTERM-
dc.subject.keywordPlusPCI-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0002870324001194?via%3Dihub-
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