{"date_created":"2019-12-29T23:00:48Z","abstract":[{"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.","lang":"eng"}],"publication_identifier":{"issn":["1878-8750"],"eissn":["1878-8769"]},"publisher":"Elsevier","intvolume":"       134","pmid":1,"author":[{"first_name":"Philippe","full_name":"Dodier, Philippe","last_name":"Dodier"},{"id":"4718F954-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas","last_name":"Auzinger","full_name":"Auzinger, Thomas","orcid":"0000-0002-1546-3265"},{"first_name":"Gabriel","last_name":"Mistelbauer","full_name":"Mistelbauer, Gabriel"},{"first_name":"Wei Te","last_name":"Wang","full_name":"Wang, Wei Te"},{"first_name":"Heber","full_name":"Ferraz-Leite, Heber","last_name":"Ferraz-Leite"},{"first_name":"Andreas","full_name":"Gruber, Andreas","last_name":"Gruber"},{"full_name":"Marik, Wolfgang","last_name":"Marik","first_name":"Wolfgang"},{"last_name":"Winter","full_name":"Winter, Fabian","first_name":"Fabian"},{"last_name":"Fischer","full_name":"Fischer, Gerrit","first_name":"Gerrit"},{"first_name":"Josa M.","last_name":"Frischer","full_name":"Frischer, Josa M."},{"first_name":"Gerhard","last_name":"Bavinzski","full_name":"Bavinzski, Gerhard"}],"article_processing_charge":"No","external_id":{"pmid":["31733380"],"isi":["000512878200104"]},"department":[{"_id":"BeBi"}],"title":"Novel software-derived workflow in extracranial–intracranial bypass surgery validated by transdural indocyanine green videoangiography","doi":"10.1016/j.wneu.2019.11.038","article_type":"original","oa_version":"None","scopus_import":"1","issue":"2","status":"public","year":"2020","publication":"World Neurosurgery","type":"journal_article","citation":{"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.","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.","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>.","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>","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."},"date_published":"2020-02-01T00:00:00Z","volume":134,"_id":"7220","page":"e892-e902","month":"02","day":"01","quality_controlled":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","language":[{"iso":"eng"}],"isi":1,"publication_status":"published","date_updated":"2023-08-17T14:14:23Z"}