Recent Advances in Interventional Management of Extracranial Vascular Malformations in Children
Bibliographic record
Abstract
Vascular malformations are congenital abnormalities arising from dysregulated angiogenesis, often due to gain-of-function somatic mutations. Extracranial disease involvement can cause significant pain, disfigurement, and functional limitations. Conventional sclerosing agents such as ethanol, sodium tetradecyl sulfate, and doxycycline are effective in treating the majority of slow-flow vascular malformations. However, these sclerosants have limited efficacy in lesions with significant lipomatous or stromal components and can be associated with significant local toxicity, especially if extravasated. The wider adoption of bleomycin and new interventional techniques such as bleomycin electrosclerotherapy using reversible electroporation and percutaneous thermal ablative modalities has shifted treatment paradigms for challenging cases which are refractory to conventional sclerosants. This article aims to provide an overview of these recent advances in interventional techniques and to highlight the importance of the integration of personalized precision medicine in the multidisciplinary care of children with extracranial vascular malformations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".