DIPG-36. CLINICAL, RADIOLOGICAL, AND HISTO-MOLECULAR CHARACTERISTICS OF DIFFUSE INTRINSIC PONTINE GLIOMA IN PATIENTS WHO SURVIVE LESS THAN 3 MONTHS FROM DIAGNOSIS: A REPORT FROM THE INTERNATIONAL DIPG REGISTRY
Bibliographic record
Abstract
Diffuse intrinsic pontine glioma (DIPG) is aggressive brainstem tumor with median survival of < 1 year. We queried data from the International DIPG Registry to define clinical, radiological, histological, and molecular characteristics of DIPG patients who survived < 3 months from diagnosis. Among 909 patients enrolled on the registry, 59 (6.5%) had overall survival (OS) of < 3 months. Median age at diagnosis was 5.8 years (range 0–13 years), and 12 (20%) were age < 3 years at diagnosis. Most presented with short duration of symptoms (< 6 weeks, 50/58; 86%) and at least one cranial nerve palsy, cerebellar sign, and/or pyramidal tract sign (52/54; 96%). Twenty-two (41%) presented with hydrocephalus, including 10 who required CSF diversion. All had extra-pontine extension on diagnostic imaging. Less than half of patients (25/56, 45%) received therapy; of these, 11 received radiation (RT) only, 12 received RT and chemotherapy, and 2 received chemotherapy only. Most received steroids (48/52; 92%), including 27 who received palliative steroids at the end of life. Biopsy and autopsy were performed in 11/57 (19%) and 13/58 (22%) cases, respectively. Of 22 for whom histology was known, 19 represented high-grade glioma subtypes, 2 low-grade gliomas, and 1 embryonal tumor. Six were molecularly characterized, and 3 harbored H3K27M mutations. Ongoing work will aim to further characterize the molecular features of these tumors with exceptional poor outcomes despite therapy.
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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 | 0.000 |
| 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".