Vol. 24 No. 2 (2020)
REVIEWS

Current algorithms for the treatment of chronic coronary total occlusions

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  • O. Krestyaninov,
  • D. Khelimskii,
  • A. Badoian,
  • R. Ibragimov,
  • R. Naydenov
O. Krestyaninov
Meshalkin National Medical Research Center, Novosibirsk
D. Khelimskii
Meshalkin National Medical Research Center, Novosibirsk
Bio
A. Badoian
Meshalkin National Medical Research Center, Novosibirsk
R. Ibragimov
Meshalkin National Medical Research Center, Novosibirsk
R. Naydenov
Meshalkin National Medical Research Center, Novosibirsk
DOI: https://doi.org/10.21688/1681-3472-2020-2-9-15

Published 2020-07-03

Keywords

  • algorithm,
  • antegrade recanalisation,
  • chronic total occlusion,
  • percutaneous coronary intervention,
  • technical success

How to Cite

Krestyaninov, O., Khelimskii, D., Badoian, A., Ibragimov, R., & Naydenov, R. (2020). Current algorithms for the treatment of chronic coronary total occlusions. Patologiya Krovoobrashcheniya I Kardiokhirurgiya, 24(2), 9–15. https://doi.org/10.21688/1681-3472-2020-2-9-15

Copyright (c) 2020 Krestyaninov O.V., Khelimskii D.A., Badoian A.G., Ibragimov R.U., Naydenov R.A.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Chronic coronary total occlusions (CTOs) represent the most complex group of lesions in interventional cardiology, and technical success in their treatment depends on not only the characteristics of the lesions themselves but also the experience of the operator.
Over the past few years, many CTO recanalisation techniques have been proposed, leading to the need for standardisation to achieve a higher success rate. As a result, a number of algorithms that allow the surgeon to choose one or another recanalisation technique depending on the angiographic features of the vessel have been proposed.
This article provides an overview of the main algorithms for choosing a CTO recanalisation strategy and considers the clinical and angiographic characteristics that form the basis of the algorithms. The possibility of their use in clinical practice has also been evaluated.

Received 7 April 2020. Revised 27 April 2020. Accepted 27 April 2020.

Funding: The study did not have sponsorship.

Conflict of interest: Authors declare no conflict of interest.

Author contributions
Conception and design: O.V. Krestyaninov, D.A. Khelimskii
Drafting the article: O.V. Krestyaninov, D.A. Khelimskii, A.G. Badoian, R.A. Naydenov, R.U. Ibragimov
Critical revision of the article: R.A. Naydenov, R.U. Ibragimov
Final approval of the version to be published: O.V. Krestyaninov, D.A. Khelimskii, A.G. Badoian, R.A. Naydenov, R.U. Ibragimov

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