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Record W4403613214 · doi:10.1136/jnis-2024-022035

The retrograde pressure cooker technique for transvenous embolization of a residual arteriovenous malformation following stereotactic radiosurgery

2024· article· en· W4403613214 on OpenAlexaff
How‐Chung Cheng, Emily Chung, Syed Uzair Ahmed, Pascal J. Mosimann

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsUniversity of SaskatchewanToronto Western Hospital
Fundersnot available
KeywordsRadiosurgeryMedicineArteriovenous malformationEmbolizationCookerRadiologySurgeryRadiation therapy

Abstract

fetched live from OpenAlex

Residual brain arteriovenous malformations (BAVMs) following stereotactic radiosurgery are not uncommon and the optimal subsequent management remains undetermined.1-3 Endovascular embolization has been reported as an effective treatment for residual BAVMs after radiosurgery,4 5 and has the advantage over repeat radiosurgery in selected cases as angiographic weak points can be secured immediately and the risk of radiation-induced complications is less of a concern.6 7 In this technical video (video 1), we demonstrate the transvenous embolization of a previously-irradiated arteriovenous malformation and a persistent venous pouch using the retrograde pressure cooker technique, with emphasis on the important recommendations for avoiding periprocedural complications. neurintsurg;16/12/1213/V1F1V1Video 1Video demonstrating Onyx embolization of the residual brain arteriovenous malformation using the 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.291
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2024
Admission routes1
Has abstractyes

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