Congenital Brain Tumors: Diagnostic Pitfalls and Therapeutic Interventions
Bibliographic record
Abstract
Congenital brain tumors are rare, accounting for 0.5% to 4% of all pediatric brain tumors. A 10-year retrospective study based on autopsy and neurosurgical clinical reports with a diagnosis of congenital/fetal/neonatal brain tumor identified 6 cases. Four cases were diagnosed antenatally by neuroradiology. Clinical outcomes in 5 cases resulted in death; 1 patient with choroid plexus papilloma underwent successful resection of the tumor and is still alive. Tumor pathologies consisted of 2 teratomas, 2 choroid plexus papillomas, 1 gemistocytic astrocytoma, and 1 glioblastoma multiforme. A literature review of all fetal cases specific to the pathologies presented in this series was also performed. Relative to the literature, this series contains a rare case of congenital gemistocytic astrocytoma. This series further sheds light on the diagnostic, histological, prognostic, and therapeutic differences between congenital brain tumors and tumors of the same pathology in older pediatric and adult populations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".