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CC BY-NC-ND 4.0 · Asian J Neurosurg 2017; 12(04): 638-643
DOI: 10.4103/ajns.AJNS_62_14
Original Article

Intraoperative anatomical and hemodynamic analysis of intracerebral arteriovenous malformations by semi-quantitative color-coded indocyanine green videoangiography

Yoko Kato
Department of Neurosurgery, Fujita Health University, Toyoake, Aichi
,
Yasuhiro Yamada
Department of Neurosurgery, Fujita Health University, Toyoake, Aichi
,
Akiyo Sadato
Department of Neurosurgery, Fujita Health University, Toyoake, Aichi
,
Mohsen Nouri
1   Gundishapour Academy of Neuroscience, Ahvaz
,
Iype Cherian
2   Institute of Neurosciences, Nobel Medical College and Teaching Hospital, Biratnagar
,
Teppei Tanaka
Department of Neurosurgery, Fujita Health University, Toyoake, Aichi
,
Joji Inamasu
Department of Neurosurgery, Fujita Health University, Toyoake, Aichi
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Objective and Background: To evaluate possible roles for indocyanine green (ICG)-based FLOW 800 software in surgical treatment of cerebral arteriovenous malformations (AVMs). Methods: We perform ICG videoangiography several times for each step of AVM resection to elucidate feeders, drainers, and cerebral perfusion. Results: Since 2010, 22 AVM surgeries in our department have been conducted using FLOW 800 intraoperatively. We demonstrated ICG angiograms, color-coded images, and semi-quantitative curves for AVMs. By reviewing all these modalities, we would define vascular structure of the AVM, proceed with resection, and finally recheck for any remnant. Conclusions: ICG FLOW 800 software helps the surgeon to recognize feeding and draining vessels of an AVM intraoperatively. Further studies to evaluate semi-quantitative acquired data regarding blood flow and tissue perfusion are warranted.

Key-words:

Cerebral arteriovenous malformation - cerebral blood flow - drainer - feeder - indocyanine green videoangiography


Publication History

Article published online:
20 September 2022

© 2017. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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