Endovascular Treatment With Targeted Embolization of Cavernous Sinus Dural Arteriovenous Fistulas: A Single-Center Study
Bibliographic record
Abstract
OBJECTIVE: To assess the feasibility, efficacy, and safety of targeted embolization for cavernous sinus dural arteriovenous fistulas (CSDAVF). MATERIALS AND METHODS: This retrospective study investigated patients with CSDAVF who underwent endovascular treatment at a tertiary hospital between October 1991 and March 2023. Treatment strategies were determined based on clinical symptoms and shunt characteristics. Targeted or non-targeted curative embolization was performed to achieve complete shunt occlusion. Initially, targeted embolization, selective occlusion of the shunted pouch while preserving the normal cavernous sinus lumen, was conducted, should that fail, non-targeted embolization was performed. In contrast, palliative embolization solely reduced shunt flow. Clinical signs, imaging characteristics, and outcomes were evaluated according to the agreed treatment strategy. RESULTS: In total, 198 patients with CSDAVF (mean age 59.0 ± 12.1 years, 23.2% male) participated in this study. Of which, 94 patients (47.5%) were treated with targeted embolization, 75 (37.9%) with non-targeted embolization, and 29 (14.6%) with palliative treatment. For patients undergoing curative embolization, 55.7% (94/169) successfully achieved targeted embolization; this procedure was usually used to treat focal fistulas (restrictive or late-restrictive types), whereas diffuse fistulas (proliferative type) often underwent non-targeted or palliative embolization. For patients that underwent targeted embolization, the rate of complete or near-complete occlusion on immediate post-treatment digital subtraction angiography was 93.6% (88/94), with a complication rate of 2.1% (2/94), symptom improvement rate of 96.8% (91/94), and retreatment rate of 5.3% (5/94). No serious complications were reported during follow-up. CONCLUSION: When successful, targeted embolization of CSDAVF causes low rates of cranial nerve palsy, retreatment, and good clinical outcomes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".