Ewing sarcoma of the clavicle: a case report.
Bibliographic record
Abstract
The aim of this case study is to demonstrate an unusual location of Ewing Sarcoma and promote awareness of the effects of patient care regarding delay in diagnosis. A 23-year-old male presented with a painless soft tissue mass over the left clavicle of two months. Initial radiographs of the clavicle were reported negative. Approximately one year later the patient stated the mass had become painful and increased in size. Repeat radiographs demonstrated permeative destruction within the left clavicle with adjacent soft tissue mass. Follow up imaging of CT, MRI, and PET-CT characterized the lesion and demonstrated metastatic disease. Subsequent biopsy confirmed a diagnosis of primary Ewing sarcoma. The patient was referred for oncologic management including chemotherapy and radiation with initial remission post treatment. Unfortunately, the tumor recurred two years later. Timely diagnosis, appropriate management and referral of patients with suspicious presentation is critical to future outcomes.
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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".