Ewing’s Sarcoma of Spine-Current Concepts and Review of literature
Bibliographic record
Abstract
Introduction- Ewing sarcoma (ES) is a malignant and aggressive bony tumor affecting the most common age group of 5-20 years. It constitutes 10%-15% of all bone sarcomas and is the second most common primary malignant bone tumor after osteosarcoma. Methods- We undertook a review of the literature on Ewing’s Sarcoma of the spine to evaluate its etiology, clinical presentations, differential diagnosis, imaging modalities, and management with chemotherapy, radiotherapy, and surgical management. PubMed, EMBASE, Google Scholar, and Cochrane key articles were searched. Keywords like ‘Ewing’s Sarcoma’, ‘Spine’, ‘etiology’, ‘treatment’, ‘surgical management’, and ‘en bloc resection’ were used Discussion- The current management of Ewing’s sarcoma of the spine usually involves three main modalities: combination chemotherapy, surgery, and/or radiotherapy. Recent improvements in combination chemotherapy (vincristine, doxorubicin, cyclophosphamide +/- Ifosfamide, and etoposide) are one of the most significant factors for improving survival. Also, recent advancements in radiotherapy and instrumentation, and fusion techniques in surgical management have also been demonstrated to improve local disease control and overall survival. Conclusion- Primary Ewing sarcoma of the spine is a rare condition affecting the most common age group of 5-20 years and accounting for 1-3 cases/million/year. About 5 % of cases have spine involvement. Recent improvements in combination chemotherapy have improved the overall survival rates. En block resection and/or radiotherapy have improved local control of the disease. Keywords: Ewing’s Sarcoma, Spine, etiology, Treatment, Surgical management, En-bloc resection
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".