Malignant Rhabdoid Tumor of Soft Tissue
Bibliographic record
Abstract
Introduction Malignant rhabdoid tumor (MRT) is defined as a high-grade sarcoma derived from an uncertain cell of origin. Its diagnosis is associated with poor prognosis and patient's life expectancy is greatly reduced. Material and method Here, we describe a unique case of 9-month-old boy who presented with a large MRT arising from the soft tissue of the neck. Following intensive multimodal treatment, the patient benefited from a 25 years' remission until the discovery of multiple liver metastases. Conclusion MRT of soft tissue needs to be distinguished from other soft tissue neoplasms, as MRT is highly aggressive and is usually associated with a poor outcome. In addition, this is the longest remission time reported in a patient with soft tissue MRT and this might be related to the use of early intensive multimodal treatments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".