Disconnection of a jugular foramen dural arteriovenous fistula with cortical venous reflux via an intradural retrosigmoid approach: illustrative case
Bibliographic record
Abstract
BACKGROUND: Jugular foramen dural arteriovenous fistulas (DAVFs) are rare and challenging lesions. Described methods of treatment include embolization and microsurgical disconnection through a far lateral transcondylar approach. The authors present the case of a Borden type III jugular foramen DAVF, which was treated with a novel, less invasive retrosigmoid approach with intradural skeletonization and packing of the sigmoid sinus. OBSERVATIONS: The patient presented with headache and visual field deficit. Neuroimaging demonstrated a right temporal intracerebral hematoma with mass effect. This was due to a Borden type III jugular foramen DAVF with cortical venous reflux into the vein of Labbe secondary to recanalization of a previously thrombosed sigmoid sinus. Microsurgical disconnection was performed via a retrosigmoid approach, in which the sigmoid sinus was identified intradurally at the jugular foramen. The sigmoid sinus was isolated by drilling at the pre- and retrosigmoid spaces to permit packing and clip ligation. Postoperative angiography revealed complete occlusion of the DAVF. LESSONS: Jugular foramen DAVFs are rare entities, which have been traditionally treated through a far lateral transcondylar approach. An intradural retrosigmoid approach is a safe, less invasive alternative, which involves less soft tissue and bony dissection and does not have the associated morbidity of craniocervical instability and hypoglossal neuropathy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".