Total for the last 12 months
number of access : ?
number of downloads : ?
ID 118079
Title Alternative
FUSION IMAGE AND IA ICG IN AVM SURGERY
Author
Keywords
3D multimodal fusion image
Cerebral arteriovenous malformation
Drainer
Feeder
Intra-arterial ICG videoangiography
Nidus
Content Type
Journal Article
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
ISSN
18788750
NCID
AA12469471
AA12725298
Publisher
Elsevier
Volume
169
Start Page
e260
End Page
e269
Published Date
2022-11-02
Rights
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
University Hospital
Medical Sciences