Hydrocephalus as the Initial Presentationof a Spinal Cord Astrocytoma Associa ted with Leptomeningeal Spread
Bibliographic record
Abstract
A 3-year-old boy presented with headaches, vomiting, lethargy and papilledema. Communicating hydrocephalus along with transependymal fluid absorption and meningeal contrast enhancement was identified on CT. The enhancement was initially thought to be the result of a partially treated meningitis (child was previously on oral antibiotics for a presumed mycoplasma pneumonia). A right ventricular-peritoneal shunt was placed. CSF studies procured during the procedure were all normal. In contrast, CSF from a lumbar puncture contained a high protein, and cytology was highly suspicious for malignancy. Spine MRI showed diffuse leptomeningeal enhancement and a 1.5-cm intramedullary lesion at T12-L1 associated with minimal edema. The lesion was subtotally resected (70%) and diagnosed as an astrocytoma (mostly Kernohan grade 2 but with areas of grade 3). Chemotherapy was administered and follow-up spine MRI at 2 months did not reveal any residual tumor, however, the leptomeningeal enhancement persisted. Sixteen months later, at the completion of the chemotherapy and radiation therapy, the spine MRI remained unchanged. Neurological examination has always been normal. This case illustrates how a spinal cord astrocytoma can metastasize via spinocranial dispersion and present early with hydrocephalus rather than myelopathy.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".