Neurosurgical management of neurenteric cysts in children
Bibliographic record
Abstract
OBJECT: Neurenteric cysts (NCs) are endothelium-lined structures of presumed endodermal origin. There have been few pediatric series of intracranial NCs reported previously. The authors present their experience in the management of these lesions. METHODS: A retrospective chart review of all cases of NCs identified between 1977 and 2007 was carried out. Demographics, details of clinical presentation, surgical therapy, and outcome data were extracted. RESULTS: Eleven cases were identified, involving 6 girls and 5 boys. The patients' average age was 4.6 years (range 1 day-14 years). Limb weakness was the most common presenting symptom. The location of the cysts was cervical in 2 cases, cervicothoracic in 4 cases, and thoracic in 3 cases. One cyst was anterior to the pons with extension to the left cerebellopontine angle and 1 cyst was at the craniocervical junction. Five patients had an apparently complete initial excision, with 1 recurrence. Four patients were initially treated with incomplete excision and/or cyst drainage, usually into an Ommaya reservoir. A neonate with a large cervicothoracic cyst died of multiple congenital anomalies without any intervention. All other patients were alive at last follow-up. One patient with a radiologically identified presumed cyst, which remained stable, was simply followed up. Several patients required multiple procedures and 1 patient developed hydrocephalus after aseptic meningitis and was treated with CSF shunting. CONCLUSIONS: Neurenteric cysts are rare in the pediatric population. Total resection, if possible, provides the best long-term outcome. Incomplete excision may lead to multiple procedures, including cyst drainage, but can lead to long-term stability.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".