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Editorial
. 2024 Dec 31;14(6):994-997.
doi: 10.21037/cdt-24-392. Epub 2024 Dec 17.

Procedural success prediction in chronic total occlusion percutaneous coronary intervention (CTO-PCI)-the rise of the machines?

Claudiu Ungureanu  1 , Gregor Leibundgut  2
Affiliations
Editorial

Procedural success prediction in chronic total occlusion percutaneous coronary intervention (CTO-PCI)-the rise of the machines?

Claudiu Ungureanu et al. Cardiovasc Diagn Ther. .
No abstract available

Keywords: Chronic total occlusion percutaneous coronary intervention (CTO-PCI); machine learning systems (ML systems); primary antegrade wiring (primary AW).

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Conflict of interest statement

Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at https://cdt.amegroups.com/article/view/10.21037/cdt-24-392/coif). C.U. reports grants or contracts, consulting fees, and support for travel from Biotronik, Abbott, Boston, and Top MEDICAL; royalties or licenses, and honoraria for lectures from Cordis. G.L. reports grants from Biotronik, Boston Scientific; support for attending meetings and/or travel by Terumo and Schockwave; consulting fees from Biotronik, Schockwave, Cordis, and Orbus Neich; payment or honoraria for lectures, presentations, or educational events by BBraun, OrbusNeich, Schockwave, Terumo; support for attending meetings and/or travel by Terumo, Schockwave. The authors have no other conflicts of interest to declare.

Comment on

  • Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.
    Rempakos A, Alexandrou M, Mutlu D, Kalyanasundaram A, Ybarra LF, Bagur R, Choi JW, Poommipanit P, Khatri JJ, Young L, Davies R, Benton S, Gorgulu S, Jaffer FA, Chandwaney R, Jaber W, Rinfret S, Nicholson W, Azzalini L, Kearney KE, Alaswad K, Basir MB, Krestyaninov O, Khelimskii D, Abi-Rafeh N, Elguindy A, Goktekin O, Aygul N, Rangan BV, Mastrodemos OC, Al-Ogaili A, Sandoval Y, Burke MN, Brilakis ES. Rempakos A, et al. JACC Cardiovasc Interv. 2024 Jul 22;17(14):1707-1716. doi: 10.1016/j.jcin.2024.04.043. Epub 2024 Jul 3. JACC Cardiovasc Interv. 2024. PMID: 38970585

References

    1. Brilakis ES, Mashayekhi K, Tsuchikane E, et al. Guiding Principles for Chronic Total Occlusion Percutaneous Coronary Intervention. Circulation 2019;140:420-33. 10.1161/CIRCULATIONAHA.119.039797 - DOI - PubMed
    1. Othman H, Seth M, Zein R, et al. Percutaneous Coronary Intervention for Chronic Total Occlusion-The Michigan Experience: Insights From the BMC2 Registry. JACC Cardiovasc Interv 2020;13:1357-68. 10.1016/j.jcin.2020.02.025 - DOI - PubMed
    1. Werner GS, Hildick-Smith D, Martin Yuste V, et al. Three-year outcomes of A Randomized Multicentre Trial Comparing Revascularization and Optimal Medical Therapy for Chronic Total Coronary Occlusions (EuroCTO). EuroIntervention 2023;19:571-9. 10.4244/EIJ-D-23-00312 - DOI - PMC - PubMed
    1. Juricic SA, Stojkovic SM, Galassi AR, et al. Long-term follow-up of patients with chronic total coronary artery occlusion previously randomized to treatment with optimal drug therapy or percutaneous revascularization of chronic total occlusion (COMET-CTO). Front Cardiovasc Med 2023;9:1014664. 10.3389/fcvm.2022.1014664 - DOI - PMC - PubMed
    1. Nakachi T, Yamane M, Kishi K, et al. Machine Learning for Prediction of Technical Results of Percutaneous Coronary Intervention for Chronic Total Occlusion. J Clin Med 2023;12:3354. 10.3390/jcm12103354 - DOI - PMC - PubMed

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