Endovascular treatment of vein of Galen aneurysmal malformation: management strategy and 21-year experience in Toronto
Bibliographic record
Abstract
OBJECT: The treatment of vein of Galen aneurysmal malformation (VGAM) is among the most challenging of all the neurovascular disorders. METHODS: Between 1984 and 2005, 26 consecutive patients with VGAMs were treated by the authors' group, and their data were prospectively collected; 12 patients presented with congestive heart failure (CHF) and 10 had hydrocephalus. Five patients did not undergo endovascular treatment because of minimal symptoms or severe comorbidities. Twelve patients underwent embolization for refractory CHF requiring ventilation: 7 of these 12 patients had the procedure in the neonatal stage (5 survived), and 5 were treated in infancy or childhood following successful aggressive medical treatment (4 survived). The other 9 patients underwent endovascular surgery to treat a progressively enlarging head circumference; there was imaging evidence of ventricular enlargement and/or signs of developmental delay (6 underwent surgery in infancy and 3 in childhood; 1 patient died). RESULTS: The survival rate in this series was 76.9% (20 of 26). Fourteen (66.7%) of 21 patients who underwent endovascular treatment had no developmental delay. An analysis of various factors demonstrated that comorbidities and embolization effect (procedure success and long-term effect) were prognostic factors of survival. In addition, the patient's age at embolization was significantly higher in those with developmental delay than in those without (559.86 ± 535.43 days vs 94.83 ± 95.77 days, respectively; p = 0.028). CONCLUSIONS: The authors conclude that neonatal VGAMs can be treated successfully with a strategic approach integrating antenatal diagnosis, endovascular surgery, treatment at intensive care facilities, and the cooperative efforts of different specialties. In the authors' experience, patients in whom VGAM was diagnosed and managed in infancy or childhood had more than 90% long-term survival.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".