Intratumoral Therapy with Bleomycin for Cystic Craniopharyngiomas in Children
Bibliographic record
Abstract
Surgical removal of cystic craniopharyngiomas in children is associated with significant operative morbidity and recurrence rates. The purpose of this study was to review our experience with a less invasive therapy, namely, intratumoral bleomycin, in the treatment of predominantly cystic craniopharyngiomas. All children with craniopharyngiomas treated at a tertiary care pediatric neurosurgical center since 1994, when bleomycin was first used, were reviewed retrospectively. Seven patients received intratumoral bleomycin therapy. Patients received 2-5 mg bleomycin per dose, 3 times per week, for 3-5 weeks as an initial course. Mean follow-up of these patients was 3 years. In 4 patients, treatment resulted in a significant decrease (>50%) in tumor size, which has remained stable. Two patients' tumors progressed and underwent resection, and 1 patient had surgical removal because of persistent headaches, although no growth of residual tumor had been noted. One patient developed peritumoral edema as a result of bleomycin therapy. Intratumoral bleomycin is a useful alternative therapy for cystic craniopharyngiomas, and may control tumor growth and delay potentially harmful resection and/or radiotherapy in young children.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".