Successful Treatment of Leptomeningeal Gliomatosis of Pilomyxoid Astrocytoma After Failed Frontline Chemotherapy
Bibliographic record
Abstract
INTRODUCTION: Pilomyxoid astrocytoma (PMA) is a rare variant of pilocytic astrocytoma. Compared with pilocytic astrocytoma, PMA is more aggressive, has a higher rate of local recurrence, and often disseminates to the leptomeninges. Leptomeningeal gliomatosis is another rare but often intractable neoplasm. PMA presenting as leptomeningeal gliomatosis can be a therapeutic challenge, particularly in young children for whom many pediatric oncologists consider radiation therapy only as a back-up treatment. However, chemotherapy, usually considered a frontline treatment for low-grade tumors such as PMA, has little impact on leptomeningeal gliomatosis. CASE REPORT: We report on a 5-year-old boy with an approximately 2-month history of progressively worsening loss of vision. Radiographic studies with contrast revealed an enhanced mass within the optic nerve, an enhanced lesion in the leptomeninges, and diffusely scattered nonenhanced white matter lesions in the craniospinal axis. The patient was treated with a 10-week carboplatin and vincristine regimen without a biopsy. After completing induction and 1 maintenance cycle, however, the patient developed coma caused by hydrocephalus. External ventricular drainage was performed and a biopsy was taken through ventriculoscopy, revealing PMA. The patient was then treated with craniospinal irradiation and concomitant temozolomide, a regimen to which he had a complete response. Two years after initial presentation the patient was free of disease. CONCLUSIONS: This report documents a rare, intractable tumor and provides evidence that radiation therapy, given as craniospinal irradiation, can be effective for leptomeningeal gliomatosis.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".