Esthesioneuroblastoma: The Princess Margaret Hospital experience
Bibliographic record
Abstract
BACKGROUND: Esthesioneuroblastoma is rare. The aim of the study was to review our experience and to evaluate the staging system and treatment that best correlates with the patient outcome. METHODS: Thirty-nine patients were identified between 1972 and 2006. RESULTS: At presentation 10% had cervical metastases. None had distant metastasis. Five were treated with surgery, 2 with chemotherapy, 1 with radiotherapy, and 30 with surgery and radiation. Local disease control was 82.6% at 5 years. Recurrence was seen in 33% with local and regional disease recurrence at 15% and 18%, respectively. The 5- and 10-year overall survival rates were 87.9% and 69.2%, respectively. Dulguerov classification correlated most closely to survival and recurrence. CONCLUSIONS: Dulguerov classification best correlates with the patient's outcome. A combined approach is the preferred treatment. It makes no difference whether radiotherapy is given pre or postsurgical resection. Recurrence can occur even 15 years after treatment. Therefore, long-term follow-up is essential.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".