Sudden Unexpected Death Due to Undiagnosed Pilocytic Astrocytoma
Bibliographic record
Abstract
ABSTRACT: Pilocytic astrocytomas are slow-growing neuroepithelial tumors most commonly found in children, with favorable prognoses. Prognosis is less favorable in the rare adult case in which survival rates decrease with age. Because of the rarity of these tumors in adults, undiagnosed pilocytic astrocytomas causing sudden death are hardly ever encountered in the forensic autopsy setting. The San Francisco Office of the Chief Medical Examiner was presented with a 27-year-old female patient with unknown medical history and recent complaints of nausea and vomiting. Postmortem computed tomography revealed a well-demarcated heterogeneous right cerebellar cystic mass. The autopsy showed an edematous brain with hydrocephalus and fourth ventricular compression, due to a heterogeneous mass found in the right cerebellum. Histopathological examination of the mass revealed findings consistent with the microscopic diagnosis of pilocytic astrocytoma. This case highlights one example of an adult patient with untreated pilocytic astrocytoma in which obstructive hydrocephalus ultimately resulted in death, and discusses the advantages of utilizing post-mortem computed tomography in addition to autopsy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".