Dysembryoplastic neuroepithelial tumors in childhood
Bibliographic record
Abstract
BACKGROUND: Dysembryoplastic neuroepithelial tumors (DNTs) are associated with medically intractable epilepsy and a favorable prognosis after surgical resection. The authors describe the clinical, radiologic, and pathologic characteristics and outcomes in children after surgical resection of pathologically confirmed DNT to ascertain prognostic features for seizure recurrence following surgery. METHODS: Neurology, neurosurgery, and pathology databases from 1993 to 2002 at the Hospital for Sick Children were searched to retrospectively identify children with confirmed DNT and presentation with seizures. Risk factors for postoperative seizure recurrence were examined with respect to seizure outcome at 12 months and long-term follow-up. RESULTS: Of the 26 children identified (mean age at surgery 10.0 years) seizure outcome was good in 22 children (85%) at 12 months (Class 1). At longer follow-up (mean 4.3, range 1.0 to 11.0 years) only 16 (62%) remained seizure-free. Residual DNT was evident in 15 of the 24 children with available postoperative MRI. Three children demonstrated recurrence of tumor. At 12 months follow-up, older age (>10 years) and longer duration of epilepsy (>2 years) were associated with seizure recurrence. The presence of residual tumor was a risk factor for seizure recurrence at long-term follow-up (p = 0.02). CONCLUSIONS: Children with DNT and epilepsy may benefit from surgical management; however, seizure outcome is not always favorable. Although the majority of children remain seizure free after surgical excision of DNT, a considerable number have recurrent seizures. Short-term outcome is influenced by older age at surgery and longer duration of epilepsy. Residual tumor is a significant risk factor for poor seizure outcome. Recurrent tumor can occur.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".