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The performance of extracranial-intracranial bypass using the frameless neuronavigation system

https://doi.org/10.17650/1683-3295-2014-0-2-66-72

Abstract

This article presents the surgical technique of low-flow extracranial-intracranial (EC-IC) bypass performance between superficial temporal artery (STA) and middle cerebral artery (MCA) with the usage of frameless neuronavigation system. The steps of neurovisualization preoperative data (CT, CTA) uploading into software of neuronavigation system as well as sequence of artery-donor and artery-recipient modeling and the choice of the most optimal trepanation projection for bypass performance are described.

About the Authors

V. A. Lukianchikov
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


A. A. Kalandari
Московский государственный медико-стоматологический университет им. А.И. Евдокимова
Russian Federation


V. A. Dalibaldian
Московский государственный медико-стоматологический университет им. А.И. Евдокимова
Russian Federation


E. V. Shestov
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


O. Ju. Nakhabin
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


N. A. Polunina
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


A. S. Tokarev
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


I. V. Senko
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


E. V. Grigorieva
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


L. T. Khamidova
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


I. V. Poroshina
НИИ скорой помощи им. Н.В. Склифосовского
Russian Federation


References

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Review

For citations:


Lukianchikov V.A., Kalandari A.A., Dalibaldian V.A., Shestov E.V., Nakhabin O.J., Polunina N.A., Tokarev A.S., Senko I.V., Grigorieva E.V., Khamidova L.T., Poroshina I.V. The performance of extracranial-intracranial bypass using the frameless neuronavigation system. Russian journal of neurosurgery. 2014;(2):66-72. (In Russ.) https://doi.org/10.17650/1683-3295-2014-0-2-66-72

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ISSN 1683-3295 (Print)
ISSN 2587-7569 (Online)
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