Fine‐needle aspiration of primary and recurrent dermatofibrosarcoma protuberans
Bibliographic record
Abstract
Dermatofibrosarcoma protuberans (DFSP) is a nodular cutaneous mesenchymal tumor of intermediate malignancy. Studies on fine-needle aspiration of DFSP are extremely rare; to our knowledge, only 33 cases have been reported. We have reviewed 14 examples of DFSP in 13 patients. Ten primary tumors were aspirated before surgical biopsy and four recurrent lesions (all from superficial lesions) were also investigated by fine-needle aspiration. All smears were surprisingly homogeneous and composed of isolated spindle cells in all cases (one unsatisfactory smear is excluded). Tissue fragments with a stroriform pattern were seen in 11 cases, fibrillary stromal fragments in 10 cases, naked nuclei in 8 cases, slight to moderate cytonuclear atypia in 5 cases. Mitotic figures, myxoid background, mast cells, and dispersed adipocytes were rare. Giant cells, necrosis, or marked cytonuclear atypia were not seen. DFSP shares morphological characteristics of some low-grade spindle-cell neoplasms. It should be differentiated from other benign low- and intermediate-grade spindle neoplasm such as low-grade fibrosarcoma, fibromyxosarcoma, low-grade malignant peripheral nerve sheath tumor, benign peripheral nerve sheath tumor, nodular fasciitis, and fibrous histiocytoma.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".