Evidence map›Paper›PMID 41952720›Full record

ArticleSurgical neurology international2026

Multimodality image fusion guidance in the microcatheter navigation to cerebrospinal arteriovenous fistula: Report of the two cases.

Genta Fujii, Satoshi Koizumi, Shigeta Fujitani, Motoyuki Umekawa, Hideaki Ono, Nobuhito Saito

Abstract readCase Reports
In one paragraph

Article in Surgical neurology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Genta FujiiDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.
Satoshi KoizumiDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.
Shigeta FujitaniDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.
Motoyuki UmekawaDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.
Hideaki OnoDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.
Nobuhito SaitoDepartment of Neurosurgery, The University of Tokyo, Bunkyo-ku, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroendovascular treatments, particularly transvenous embolization, require precise visualization of the approach route during microcatheter navigation. However, conventional roadmaps often face limitations, such as contrast medium dilution and slow venous flow. The multimodal image fusion guidance system integrates pre-acquired imaging datasets, such as computed tomography venography, with real-time fluoroscopy to enhance the visualization of the vascular anatomy and procedural accuracy. This report highlights the efficacy of this system in navigating microcatheters to complex arteriovenous fistulas (AVFs) using a transvenous approach. Case Description: Case 1 involved a 75-year-old woman with a left cavernous sinus dural AVF, which was treated using a transvenous approach through the facial vein. The multimodal image fusion guidance system enabled precise catheter navigation, resulting in complete obliteration of the shunt with coils. Case 2 involved a 45-year-old man with a spinal epidural AVF. This system facilitated accurate catheterization of the epidural venous plexus through the hemiazygos vein, enabling successful embolization with coils. Conclusion: The multimodal image fusion guidance system enhances visualization and catheter navigation, addressing the challenges inherent in transvenous procedures. These cases demonstrate its efficacy in improving procedural safety and precision in complex neurovascular conditions. Although limitations include dependence on pre-acquired images and potential misalignment due to vessel shifts, this system represents a significant advancement in neuroendovascular navigation. Further studies are warranted to evaluate its broader applicability and impact on clinical outcomes.

Indexed as

Catheter navigationDural arteriovenous fistulaMultimodality image fusion guidanceNeuroendovascular treatmentTransvenous embolization

Identifiers

PMID41952720
PMCPMC13054321

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.