Orbital Rhabdomyosarcoma in Children
Bibliographic record
Abstract
BACKGROUND: Orbital rhabdomyosarcoma (ORMS) treatment is based on combination chemotherapy associated with best local therapy, sometimes surgery but more often radiation therapy. A retrospective single-center analysis was conducted to more clearly define the long-term outcome of patients with ORMS, to identify patients in whom aggressive first-line local therapy can be avoided. POPULATION: A total of 95 patients with localized parameningeal (PM) or nonparameningeal (NPM) ORMS, treated at the Institut Curie between 1975 and 2010, were analyzed. RESULTS: Median age at diagnosis was 6 years (range, 8 mo to 19.5 y), and median follow-up was 8.5 years (range, 7 mo to 24 y). A total of 25 patients presented PM extension. Radiation therapy was part of primary therapy for 78 patients. Five-year event-free survival and overall survival rates were 65.4%±5.2% and 85.6%±3.9%, respectively. On multivariate analysis, initial tumor size was identified as a significant prognostic factor. Event-free survival was similar for PM and NPM tumors (60.3%±10.4% vs. 62.7%±5.9%, P=0.57), whereas there was a trend for overall survival to be better for NPM tumors (90%±3.9% vs. 72.7%±9.6%, P=0.07). CONCLUSIONS: Localized ORMS has a favorable outcome despite the current trend toward less aggressive and more limited indications of local therapy. Patients with a favorable pattern of strictly ORMS can be treated without first-line radiation therapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".