Forniceal glioma in children
Bibliographic record
Abstract
OBJECT: Five to ten percent of pediatric brain tumors are located in the ventricles. Among them, forniceal lesions are rare and their management has not often been described. The aim of this study was to review the clinical, radiological, and histopathological features as well as the feasibility of surgical excision and the outcomes in these patients. METHODS: From a retrospective analysis of 250 cases of supratentorial pediatric glioma, the records of 8 children presenting with forniceal lesions were selected and reviewed. RESULTS: The median age of patients in the cohort was 13.5 years. Presenting features included intracranial hypertension (7 cases), hypothalamic dysfunction (2), and memory dysfunction (3). Complete resection was possible in only 1 case, where the lesion was mainly exophytic; the remaining patients had either a partial resection or biopsy. On histological review, the tumors were confirmed as pilocytic astrocytoma (4 lesions), WHO Grade II astrocytoma (3), and ganglioglioma (1). Postoperatively, working and retrograde memory was normal for all patients, but the authors found a mild alteration in verbal episodic memory in 5 patients. Despite fatigability for 5 patients, academic achievement was normal for all but 2, both of whom had preoperative school difficulties. Additional treatment was required for 5 patients for tumor progression, with a median interval of 19 months from surgery. At a median follow-up duration of 4.9 years, all patients had stable disease. CONCLUSIONS: In this series, forniceal gliomas were found to be low-grade gliomas. They are surgically challenging, and only exophytic lesions may be cured surgically. Due to the high rate of progression of residual disease, adjuvant therapy is recommended for infiltrative tumors, and it yielded excellent results.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".