Treatment Experience of Pelvic Osteosarcoma Arising in Li-Fraumeni Syndrome
Bibliographic record
Abstract
We report the case of a woman in her 20s who developed osteosarcoma in the right iliac bone with germline variants in the TP53 gene (TP53: c.220Y>C). She was referred to a university hospital and imaging studies and biopsy led to a diagnosis of Li-Fraumeni syndrome. After she underwent proton-beam therapy combined with chemotherapy along with weekly hyperthermia, she had been referred to our institution for easier access since 20XX+6. She noticed ipsilateral gluteal pain and swelling in 20XX+8. Imaging and histopathology were consistent with recurrence of the pre-existing osteosarcoma. The palliative interventions enabled her to stay at home; however, her pain consequently exacerbated in 20XX+9. She was admitted emergently, and she died after several days.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".