Management strategies for anterior cranial fossa (ethmoidal) dural arteriovenous fistulas with an emphasis on endovascular treatment
Bibliographic record
Abstract
OBJECT: Dural arteriovenous fistulas (DAVFs) of the anterior cranial fossa are rare lesions that can cause intracranial hemorrhage. Authors of previous reports mostly have described open surgical treatment for this fistula type. The authors' purpose in the present study was to describe their experience with anterior cranial fossa DAVFs, including their endovascular treatment. METHODS: All patients with anterior cranial fossa DAVFs diagnosed and treated in 3 separate institutions during the last 23 years were retrospectively identified. Clinical charts, imaging studies, and procedural notes were evaluated. RESULTS: Twenty-four patients (22 males and 2 females), ranging in age from 3 to 77 years, harbored 24 DAVFs in the anterior cranial fossa. Eleven patients were primarily treated with surgical disconnection and 2 with radiosurgery. Eleven patients were treated endovascularly; 7 of these patients (63.6%) were cured. In 4 cases of failed embolization, final disconnection was achieved through surgery. In fact, surgery was effective in disconnecting the fistula in 100% of cases. All endovascular procedures consisted of transarterial injections of diluted glue (N-butyl cyanoacrylate [NBCA]), and there were no complications. Brain edema developed around the venous pouch and confusion was apparent after venous disconnection in 1 surgically treated patient. No patient suffered a hemorrhage during the follow-up period. CONCLUSIONS: Disconnection of an anterior cranial fossa DAVF by using transarterial catheterization through the ophthalmic artery and subsequent injection of NBCA is possible with a reasonable success rate and low risk for complications. In patients with good vascular access this procedure could be the treatment of choice, to be followed by open surgery in cases of embolization failure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| 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) | 0.003 | 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".