---
_id: '7220'
abstract:
- lang: eng
  text: BACKGROUND:The introduction of image-guided methods to bypass surgery has
    resulted in optimized preoperative identification of the recipients and excellent
    patency rates. However, the recently presented methods have also been resource-consuming.
    In the present study, we have reported a cost-efficient planning workflow for
    extracranial-intracranial (EC-IC) revascularization combined with transdural indocyanine
    green videoangiography (tICG-VA). METHODS:We performed a retrospective review
    at a single tertiary referral center from 2011 to 2018. A novel software-derived
    workflow was applied for 25 of 92 bypass procedures during the study period. The
    precision and accuracy were assessed using tICG-VA identification of the cortical
    recipients and a comparison of the virtual and actual data. The data from a control
    group of 25 traditionally planned procedures were also matched. RESULTS:The intraoperative
    transfer time of the calculated coordinates averaged 0.8 minute (range, 0.4-1.9
    minutes). 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 with that in the control group (P =
    0.005). tICG-VA was successfully applied in 19 cases. An average of 2 potential
    recipient arteries were identified transdurally, resulting in tailored durotomy
    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 period of 26 months. No significant difference was found in the
    patency rate between the study and control groups (P = 0.317). CONCLUSIONS:Our
    clinical results have validated the presented planning and surgical workflow and
    support the routine implementation of tICG-VA for recipient identification before
    durotomy.
article_processing_charge: No
article_type: original
author:
- first_name: Philippe
  full_name: Dodier, Philippe
  last_name: Dodier
- first_name: Thomas
  full_name: Auzinger, Thomas
  id: 4718F954-F248-11E8-B48F-1D18A9856A87
  last_name: Auzinger
  orcid: 0000-0002-1546-3265
- first_name: Gabriel
  full_name: Mistelbauer, Gabriel
  last_name: Mistelbauer
- first_name: Wei Te
  full_name: Wang, Wei Te
  last_name: Wang
- first_name: Heber
  full_name: Ferraz-Leite, Heber
  last_name: Ferraz-Leite
- first_name: Andreas
  full_name: Gruber, Andreas
  last_name: Gruber
- first_name: Wolfgang
  full_name: Marik, Wolfgang
  last_name: Marik
- first_name: Fabian
  full_name: Winter, Fabian
  last_name: Winter
- first_name: Gerrit
  full_name: Fischer, Gerrit
  last_name: Fischer
- first_name: Josa M.
  full_name: Frischer, Josa M.
  last_name: Frischer
- first_name: Gerhard
  full_name: Bavinzski, Gerhard
  last_name: Bavinzski
citation:
  ama: Dodier P, Auzinger T, Mistelbauer G, et al. Novel software-derived workflow
    in extracranial–intracranial bypass surgery validated by transdural indocyanine
    green videoangiography. <i>World Neurosurgery</i>. 2020;134(2):e892-e902. doi:<a
    href="https://doi.org/10.1016/j.wneu.2019.11.038">10.1016/j.wneu.2019.11.038</a>
  apa: Dodier, P., Auzinger, T., Mistelbauer, G., Wang, W. T., Ferraz-Leite, H., Gruber,
    A., … Bavinzski, G. (2020). Novel software-derived workflow in extracranial–intracranial
    bypass surgery validated by transdural indocyanine green videoangiography. <i>World
    Neurosurgery</i>. Elsevier. <a href="https://doi.org/10.1016/j.wneu.2019.11.038">https://doi.org/10.1016/j.wneu.2019.11.038</a>
  chicago: Dodier, Philippe, Thomas Auzinger, Gabriel Mistelbauer, Wei Te Wang, Heber
    Ferraz-Leite, Andreas Gruber, Wolfgang Marik, et al. “Novel Software-Derived Workflow
    in Extracranial–Intracranial Bypass Surgery Validated by Transdural Indocyanine
    Green Videoangiography.” <i>World Neurosurgery</i>. Elsevier, 2020. <a href="https://doi.org/10.1016/j.wneu.2019.11.038">https://doi.org/10.1016/j.wneu.2019.11.038</a>.
  ieee: P. Dodier <i>et al.</i>, “Novel software-derived workflow in extracranial–intracranial
    bypass surgery validated by transdural indocyanine green videoangiography,” <i>World
    Neurosurgery</i>, vol. 134, no. 2. Elsevier, pp. e892–e902, 2020.
  ista: Dodier P, Auzinger T, Mistelbauer G, Wang WT, Ferraz-Leite H, Gruber A, Marik
    W, Winter F, Fischer G, Frischer JM, Bavinzski G. 2020. Novel software-derived
    workflow in extracranial–intracranial bypass surgery validated by transdural indocyanine
    green videoangiography. World Neurosurgery. 134(2), e892–e902.
  mla: Dodier, Philippe, et al. “Novel Software-Derived Workflow in Extracranial–Intracranial
    Bypass Surgery Validated by Transdural Indocyanine Green Videoangiography.” <i>World
    Neurosurgery</i>, vol. 134, no. 2, Elsevier, 2020, pp. e892–902, doi:<a href="https://doi.org/10.1016/j.wneu.2019.11.038">10.1016/j.wneu.2019.11.038</a>.
  short: P. Dodier, T. Auzinger, G. Mistelbauer, W.T. Wang, H. Ferraz-Leite, A. Gruber,
    W. Marik, F. Winter, G. Fischer, J.M. Frischer, G. Bavinzski, World Neurosurgery
    134 (2020) e892–e902.
date_created: 2019-12-29T23:00:48Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-17T14:14:23Z
day: '01'
department:
- _id: BeBi
doi: 10.1016/j.wneu.2019.11.038
external_id:
  isi:
  - '000512878200104'
  pmid:
  - '31733380'
intvolume: '       134'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa_version: None
page: e892-e902
pmid: 1
publication: World Neurosurgery
publication_identifier:
  eissn:
  - 1878-8769
  issn:
  - 1878-8750
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Novel software-derived workflow in extracranial–intracranial bypass surgery
  validated by transdural indocyanine green videoangiography
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 134
year: '2020'
...