Treatment of Cystic Lymphatic Vascular Malformations with OK-432 Sclerotherapy
Bibliographic record
Abstract
BACKGROUND: Cystic lymphatic vascular malformations are benign lesions that can cause disfigurement and functional impairment. Complete surgical resection is often difficult, and clinical recurrence is common. Sclerotherapy has been used as an alternative to excision. OK-432 is a lyophilized mixture of Streptococcus pyogenes and benzylpenicillin which, when injected into a lesion, has shown significant ability to reduce its size or obliterate it completely. METHODS: The authors report a series of 12 patients treated in this fashion at the Vascular Anomalies Clinic, British Columbia Children's Hospital, between 1999 and 2004. All patients underwent imaging of the lesion: 10 had magnetic resonance imaging, one had a computed tomographic scan, and one had ultrasound examination. Six patients had macrocystic malformations (cysts > or = 2 cm) and six had microcystic or combined lymphaticovenous malformations. Patients were treated with intralesional injection of OK-432. The position of the injection was confirmed by angiography and/or ultrasound in 10 cases. Response to treatment was assessed clinically. RESULTS: All patients with macrocystic malformations had complete resolution or good response to treatment. None required any additional treatment. In contrast, those with microcystic or combined malformations responded poorly. All of these patients underwent subsequent excision without adverse consequences. The size and location of the lesion did not correlate with response to treatment. Seventy-five percent of patients experienced pyrexia. Local swelling is an expected phenomenon and must be anticipated, particularly for lesions near the airway. CONCLUSIONS: OK-432 is an excellent treatment for patients with macrocystic lymphatic malformations. However, it is ineffective for microcystic lesions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".