Primary Epithelioid Angiosarcoma of the Breast Masquerading as Carcinoma
Bibliographic record
Abstract
Here we report a case of primary epithelioid angiosarcoma (eas) of the breast occurring in a 30-year-old woman. Following fine-needle asspiration cytology (fnac) and tru-cut biopsy, the patient was initially diagnosed with mammary carcinoma and thereafter underwent modified radical mastectomy. Postoperative histopathologic examination and immunohistochemistry revealed a diagnosis of primary epithelioid angiosarcoma of the breast. The patient received postoperative radiotherapy to the chest wall and was started on adjuvant thalidomide. Preoperatively, eas can be mistaken for carcinoma because it is difficult to appreciate the typical morphology on fnac or tru-cut biopsy. Indeed, this is an area of potential diagnostic error because, nowadays, neoadjuvant therapy is often instituted after core biopsy of a breast mass. This case is being reported not only for its diagnostic difficulty, but also because of its rarity in English literature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".