Primary Epithelioid Sarcoma of Bone
Bibliographic record
Abstract
We report the clinical and pathologic features of, what is to the best of our knowledge, the first case of epithelioid sarcoma of bone. A 31-year-old woman with an unremarkable past medical history presented with pelvic pain and was found by computed tomography scan to have a destructive 5 cm, partially calcified intraosseous lesion of the iliac bone. Histologically, the tumor consisted of relatively uniform but clearly malignant-appearing epithelioid cells, with scattered rhabdoid-appearing cells. A hyalinized to partially calcified matrix was present between the tumor cells, with a "chickenwire" pattern of calcification. By immunohistochemistry, the neoplastic cells expressed cytokeratins, vimentin, epithelial membrane antigen and CD34, and showed complete loss of INI1 protein expression. Fluorescence in situ hybridization showed homozygous deletion of the INI1 gene. An extensive clinical and radiographic workup did not show evidence of a soft tissue tumor, and the diagnosis of a primary epithelioid sarcoma of bone was made. After this, the patient underwent a complete resection of her tumor, and is currently disease free, 6 months after surgery. These extremely rare tumors must be rigorously distinguished from other more common tumors of bone, in particular, chondroblastoma and osteosarcoma. Awareness that epithelioid sarcoma may occur in bone, careful histologic evaluation and ancillary immunohistochemistry for epithelial markers, CD34 and INI1 protein should allow for recognition of such tumors. Study of additional cases of primary epithelioid sarcoma of bone will be necessary to better understand its clinical behavior.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".