gms | German Medical Science

71. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
9. Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

21.06. - 24.06.2020

Novel software-derived workflow in EC-IC bypass surgery validated by transdural ICG videoangiography

Neue software-gestützte Bypassplanung und ihre Validierung durch transdurale ICG Videoangiographie

Meeting Abstract

  • presenting/speaker Philippe Dodier - Medizinische Universität Innsbruck, Universitätsklinik für Neurochirurgie, Wien, Austria
  • Wei-Te Wang - Medizinische Universität Innsbruck, Universitätsklinik für Neurochirurgie, Wien, Austria
  • Gerhard Bavinzski - Medizinische Universität Innsbruck, Universitätsklinik für Neurochirurgie, Wien, Austria
  • Josa Frischer - Medizinische Universität Innsbruck, Universitätsklinik für Neurochirurgie, Wien, Austria
  • Karl Rössler - Medizinische Universität Innsbruck, Universitätsklinik für Neurochirurgie, Wien, Austria

Deutsche Gesellschaft für Neurochirurgie. 71. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), 9. Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie. sine loco [digital], 21.-24.06.2020. Düsseldorf: German Medical Science GMS Publishing House; 2020. DocV209

doi: 10.3205/20dgnc205, urn:nbn:de:0183-20dgnc2053

Published: June 26, 2020

© 2020 Dodier et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Objective: The introduction of image-guided methods in bypass surgery resulted in optimized preoperative identification of recipients and in excellent patency rates, but recently presented methods are also resource-consuming. The objective was to present a cost-efficient planning workflow in extracranial-intracranial (EC-IC) revascularization in combination with transdural indocyanine green videoangiography (tICG-VA).

Methods: The study was a retrospective review at a single tertiary referral center from 2011 to 2018. A novel software-derived workflow was applied in 25 of 92 bypass procedures between 2011 and 2018. Precision and accuracy were assessed through tICG-VA identification of cortical recipients and by comparison of virtual and actual data. A control group of 25 traditionally planned procedures was additionally matched.

Results: Intraoperative transfer time of calculated coordinates averaged 0.8 min (0.4-1.9 min). The definitive recipients matched the targeted branches in 80%, and a neighboring branch was used in 16%. Our workflow led to a significant craniotomy size reduction in the study group compared to the control group (p=.005). tICG-VA was successfully applied in 19 cases. An average of two potential recipient arteries were identified transdurally, resulting in tailored durotomies and 3 craniotomy adjustments. Follow-up patency results were available for 49 bypass surgeries comprising 54 grafts. The overall patency rate was 91% at a median follow-up time of 26 months. No significant difference was found in the patency rate between both groups (p=.317).

Conclusion: Our clinical results validate the presented planning and surgical workflow and support the routine implementation of tICG-VA for recipient identification before durotomy.