Pleomorphic angiomatoid fibrous histiocytoma: a case confirmed by fluorescence <i>in situ</i> hybridization analysis for EWSR1 rearrangement
Bibliographic record
Abstract
Angiomatoid fibrous histiocytoma (AFH) is a neoplasm of uncertain histogenesis with intermediate malignant potential. It occurs in superficial soft tissues in any age group and at any body site, although the typical example occurs on extremities in children/young adults. The neoplasm is usually composed of a bland histiocytoid proliferation of cells with eosinophilic cytoplasm forming a syncytium, often surrounded by a dense fibrous pseudocapsule and lymphoid infiltrate, with abundant intralesional hemorrhage forming blood-filled spaces. AFH may show striking pleomorphism and mitotic activity, and such cases can lead to confusion with other atypical mesenchymal lesions, including pleomorphic sarcomas. Recent findings have shown that a majority of cases of AFH have translocations involving the EWSR1 or FUS genes. We present a diagnostically challenging case of AFH with pleomorphic features and minimal lymphoid and angiomatoid changes involving the superficial subcutis and deep dermis on the scalp of an 8-year-old boy. "Areas with typical AFH morphology were identified and the diagnosis confirmed with identification of an EWSR1..." rearrangement detected by fluorescence in situ hybridization. Pleomorphic AFH should be included in the differential diagnosis of atypical mesenchymal tumors of skin and superficial subcutis and molecular testing may prove helpful in this regard.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".