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Record W4376638554 · doi:10.1136/jnis-2023-020393

Transvenous retrograde pressure cooker technique for embolization of an ethmoidal dural arteriovenous fistula

2023· article· en· W4376638554 on OpenAlexaff
How‐Chung Cheng, Vivek Bodani, Emily Chung, Pascal J. Mosimann

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineArteriovenous fistulaEmbolizationCookerSurgeryFistulaRadiology

Abstract

fetched live from OpenAlex

SummaryEthmoidal dural arteriovenous fistulas (DAVFs) are rare lesions, accounting for approximately 10% of intracranial DAVFs.1 2 As ethmoidal DAVFs commonly demonstrate cortical venous drainage, treatment is always warranted.2-6 Endovascular transvenous embolization has been increasingly reported as an effective and safe treatment for ethmoidal DAVFs, and since occlusion of the central retinal artery and resulting blindness are not a concern, it has an advantage over transarterial embolization.3-6 To ensure curative embolization, we adopted the transvenous retrograde pressure cooker technique (RPCT), creating a plug with n-butyl cyanoacrylate (NBCA) in the draining vein to allow a more comprehensive and efficient injection of Onyx (Medtronic, MN) while avoiding excessive reflux.7 8 In this technical video (video 1), we report the first case using the transvenous RPCT for successful Onyx embolization of an ethmoidal DAVF, with emphasis on the technical nuances of the RPCT and important tips to avoid periprocedural complications. neurintsurg;16/7/742/V1F1V1Video 1 Video demonstrating Onyx embolization of an ethmoidal dural arteriovenous fistula using the transvenous retrograde pressure cooker technique.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.309
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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