A role for early surgical intervention in childhood low-grade glioma? Illustrative case
Bibliographic record
Abstract
BACKGROUND: IDH-mutant diffuse gliomas are considered low grade, albeit with a propensity for malignant behavior over time, distinguishing them from pediatric-type low-grade gliomas. IDH-mutant tumors have astrocytic or oligodendrocytic phenotypes associated with TP53 and ATRX mutations or 1p/19q deletions, respectively. TP53 mutations are associated with a tumor that acquires malignant properties characteristic of glioblastoma with subsequent very poor survival. OBSERVATIONS: The authors present the case of a 12-year-old female who presented with an incidental T2-FLAIR bright lesion in the right frontal lobe. Although clinically asymptomatic, there was interval minimal but definite growth on serial imaging over 5 years, and she underwent resection. Molecular pathology indicated an isolated IDH1 mutation, without cooperating molecular changes. LESSONS: IDH-mutant gliomas, although typically an adult disease, may be diagnosed in childhood or adolescence. This early diagnosis of a tumor before it has acquired cooperating events suggests childhood origin and long latency for this more typical adult tumor. Early recognition and treatment of these tumors, before they reach their full malignant potential, may yield therapeutic benefit. Surgery may also play a key role to eliminate neoplastic cells and the acquisition of more fully malignant clones that may become more aggressive and drive disease progression many years later. https://thejns.org/doi/10.3171/CASE2584.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".