Prognostic Value of Contrast-Enhanced Magnetic Resonance Imaging in Brainstem Gliomas
Bibliographic record
Abstract
Brainstem gliomas are an important oncologic problem in the pediatric age group, constituting between 10 and 15% of childhood central nervous system neoplasms. A new classification scheme based on magnetic resonance imaging (MRI) has recently been proposed leading to speculation that gadolinium-DTPA-enhanced MRI may prove useful in defining the prognosis of subsets of patients with these tumors. We retrospectively reviewed gadolinium-DTPA-enhanced MRIs in 26 consecutive newly diagnosed pediatric patients (11 males, 15 females) from our institution between June 1988 and June 1994 with the diagnosis of diffuse brainstem glioma. The site, extent of invasion, T1 and T2 signals, and the pattern and the degree of contrast enhancement of the tumors were evaluated. We correlated the image features, clinical symptoms, and survival period in each patient. Seventeen tumors demonstrated contrast enhancement and 9 did not. The survival in the whole group ranged between 3 months and > 5 years with a median of 9 months. There was no statistical difference in the median survival between patients with or without contrast enhancement (11 versus 8 months).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".