Acquired progressive torcular dural arteriovenous fistula after subtotal resection of peritorcular meningioma
Bibliographic record
Abstract
A woman in her mid-50s who had undergone a subtotal resection of a peritorcular meningioma 3 years earlier presented with symptoms suggestive of increased intracranial pressure. A delayed diagnosis of a torcular dural arteriovenous fistula (dAVF) diagnosis was made on MRI. Digital subtraction angiography confirmed a torcular dAVF (Borden type II). Staged 3 rounds of transarterial (TA) embolisation were performed using n-butyl cyanoacrylate, ethylene vinyl alcohol copolymer and coils of the complex torcular dAVF, which significantly reduced the flow and corresponded with improved symptoms of pulsatile tinnitus, vision and headache. We reviewed previously reported cases of dAVFs that developed after craniotomy for meningioma resection. Despite its rarity, a torcular dAVF can develop after craniotomy and progress from low to high grade due to its location. Diagnosis requires a thorough understanding of subtle imaging findings, which may be present in follow-up studies obtained for tumour surveillance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".