Noncommunicating Hydrocephalus Caused by Aseptic Meningitis Can Be Treated With Endoscopic Third Ventriculostomy
Bibliographic record
Abstract
Noncommunicating hydrocephalus is a rare complication of aseptic meningitis and is predominantly characterized by the obstruction of cerebrospinal fluid (CSF) absorption. Traditional treatment methods include external ventricular drainage (EVD) and ventriculoperitoneal (VP) shunt. However, endoscopic third ventriculostomy (ETV) might also be effective in the case of aseptic meningitis. A 19-year-old woman presented with fever, lymphadenopathy, and arthritis, followed by headache and vomiting. Magnetic resonance imaging (MRI) showed no hydrocephalus. CSF analysis revealed mild pleocytosis and elevated protein levels, with negative cultures, leading to the diagnosis of aseptic meningitis. After an initial recovery with supportive care, the patient returned a month later with an acute progressive headache and altered consciousness. Computed tomography (CT) revealed lateral and third ventricular enlargement, while MRI showed cerebellar swelling and foraminal adhesions, indicative of obstructive hydrocephalus. ETV was performed through the right anterior horn of the lateral ventricle. Postoperative recovery was uneventful, and the patient remained asymptomatic after steroid treatment. ETV is a viable option for treating noncommunicating hydrocephalus associated with aseptic meningitis, even when CSF malabsorption is present.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".