Balloon-Assisted Superselective Microcatheterization for Transarterial Treatment of Cranial Dural Arteriovenous Fistulas
Bibliographic record
Abstract
BACKGROUND: In transarterial embolization of anterior cranial fossa and tentorial dural arteriovenous fistula (DAVF), acute angulation of the feeding artery off the internal carotid artery (ICA) may render stable distal catheterization and, therefore, successful transarterial treatment difficult. In some anatomic dispositions, following selection of the feeding artery, subsequent forward force may lead to prolapse of the microcatheter into the ICA rather than advancing it into either the ophthalmic artery or the meningohypophyseal trunk. OBJECTIVE: We describe a technique that facilitates stable positioning of the microcatheter by using a nondetachable balloon to temporally block the ICA distal to the feeding artery to redirect the catheter into the feeder and to prevent the microcatheter from protruding into the parent artery. METHODS: In 8 cases where routine superselective microcatheterization failed, a balloon was used to block the ICA distal to the feeding artery in an attempt to facilitate superselective microcatheterization. The balloon was inflated following selection of the feeding vessel with the microcatheter and was kept inflated while advancing the catheter. RESULTS: : Distal stable microcatheter positions could be obtained in all cases, which enabled us to treat the respective DAVFs with a liquid embolic agent. All 8 cases were angiographically cured with penetration of the liquid embolic agent from the distal artery to the proximal vein, and no procedure-related complications occurred. CONCLUSION: The described technique may be a helpful adjunct to gain stable distal microcatheter positions during the transarterial treatment of DAVF.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".