Rhabdomyosarcoma of the Head and Neck Region: Experience at the Pediatric Unit of the Istituto Nazionale Tumori, Milan
Bibliographic record
Abstract
OBJECTIVE: This study aims to describe the clinical features and outcome of pediatric patients with head and neck rhabdomyosarcoma (RMS), which can be divided into parameningeal, orbital, or nonorbital, nonparameningeal. DESIGN: This is a retrospective single-institution analysis. SETTING: The study was performed at the Istituto Nazionale Tumori, Milan, Italy. METHODS: The study considered 142 consecutive patients < 21 years treated from 1973 to 2003. MAIN OUTCOME MEASURES: Patients were treated using a multimodality approach: complete conservative surgery was performed at diagnosis in only two patients, all patients received chemotherapy, and most (91%) also had radiotherapy. Disease-free survival and overall survival were estimated according to the Kaplan-Meier method. RESULTS: For the series as a whole, the 5-year disease-free and overall surival rates were 49% and 57%, respectively. The 5-year overall survival rate improved over the years from 38% before 1980 to 78% after 1990; it was 44% for parameningeal, 79% for orbital, and 77% for nonorbital, nonparameningeal RMS. CONCLUSIONS: The treatment of head and neck RMS is complex and necessarily multidisciplinary. Complete surgery is rarely feasible in the head and neck region. This study confirms that orbital RMS has a favourable outcome, whereas therapeutic results are generally unsatisfactory in parameningeal cases, although recent progress in radiotherapeutic techniques and in the efficacy of chemotherapy would suggest clear improvements in survival.
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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 | 0.000 |
| 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".