Darier-Ferrand Dermatofibrosarcoma Protuberans: A Rare Soft Tissue Tumor Of The Breast And A Review Of The Literature
Bibliographic record
Abstract
In cases where a mass in the breast is diagnosed and a tru-cut or excisional biopsy is performed, mesenchymal lesions are rarely encountered. Dermatofibrosarcoma protuberans is a rare mesenchymal tumour originating from the dermis in clinical practice. It is generally a low-grade sarcoma and rarely metastasizes. Other malignant mesenchymal lesions observed in the breast include leiomyosarcoma, liposarcoma, chondrosarcoma, malignant fibrous histiocytoma, rhabdomyosarcoma, spindle cell mesenchymal tumour, and angiosarcoma. Primary mesenchymal tumours of the breast make up less than 1% of all breast malignancies. In this report, a 38-year-old female patient with a painless mass measuring approximately 7x6 cm, protruding from the upper inner quadrant of the right breast, was presented. The tru-cut biopsy performed on the lesion revealed a spindle cell mesenchymal tumour. A PET-CT scan showed a mass with increased SUV-max in the right breast and reactive lymph nodes in the right axilla. No distant metastasis was observed. The patient underwent a wide local excision with a 1 cm clear surgical margin. She was discharged on the 2nd postoperative day without complications. The pathology result of the main specimen was dermatofibrosarcoma protuberans, with negative surgical margins, and the patient was placed under clinical and radiological follow-up.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".