ID | 118079 |
Title Alternative | FUSION IMAGE AND IA ICG IN AVM SURGERY
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Author |
Miyake, Kazuhisa
Tokushima University
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Sogabe, Shu
Tokushima University
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Keywords | 3D multimodal fusion image
Cerebral arteriovenous malformation
Drainer
Feeder
Intra-arterial ICG videoangiography
Nidus
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Content Type |
Journal Article
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Description | Objective: An understanding of the complex morphology of an arteriovenous malformation (AVM) is important for successful resection. We have previously reported the utility of intra-arterial indocyanine green (ICG) videoangiography for this purpose, but that method cannot detect the angioarchitecture covered by brain tissue. 3-dimensional (3D) multimodal fusion imaging is reportedly useful for this same purpose, but cannot always visualize the exact angioarchitecture due to poor source images and processing techniques. This study examined the results of utilizing both techniques in patients with AVMs.
Methods: Both techniques were applied in 12 patients with AVMs. Both images were compared with surgical views and evaluated by surgeons. Results: Although evaluations for identifying superficial feeders by ICG videoangiography were high in all cases, the more complicated the AVM, the lower the evaluation by 3D multimodal fusion imaging. Conversely, evaluation of the estimated range of the nidus was high in all cases by 3D multimodal fusion imaging, but low in all but one case by ICG videoangiography. Nidus flow reduction was recognized by Flow 800 analysis obtained after ICG videoangiography. Conclusions: These results showed that utilizing both techniques together was more useful than each modality alone in AVM surgery. This was particularly effective in identifying superficial feeders and estimating the range of the nidus. This technique is expected to offer an optimal tool for AVM surgery. |
Journal Title |
World Neurosurgery
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ISSN | 18788750
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NCID | AA12469471
AA12725298
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Publisher | Elsevier
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Volume | 169
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Start Page | e260
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End Page | e269
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Published Date | 2022-11-02
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Rights | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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language |
eng
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departments |
University Hospital
Medical Sciences
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