Benign mixed tumor of the skin, hypercellular variant: a case report
Bibliographic record
Abstract
A 71-year-old man presented with a slowly growing 2.0x2.0x1.0 cm scalp lesion that was surgically removed. Microscopic examination showed a well-circumscribed dermally located tumor composed of ductal elements lined by double to multiple cell layers of bland cuboidal inner cells and elongated spindled outer cells with areas showing cribriform and solid growth patterns. Some cells showed prominent cytoplasmic clearing. A few mitotic figures are noted ranging from 1-2 mitotic figure/10 hpf. There are also foci of squamous differentiation as well as occasional mature adipocytes. The background stroma was predominantly sclerotic with only small area of myxoid background (confirmed by Hale's colloidal iron). Immunohistochemical studies revealed positive immunoreactivity for EMA, CEA, CD117, HWMK, LWMK, CK7, Androgen receptor and S100 in the ductal (epithelial) cells and positive immunereactivity for calponin, SMA, CK 5/6 and p63 in the myoepithelial component. No immunoreactivity for Brst-2, ER, PR and CK20 was noted. MIB-1 showed mildly increased proliferrative index highlighting 5% of the nuclei. The overall morphology and immunohistochemical profile are that of a benign cutanoues mixed tumor (chondroid syringoma). Given the unusual striking celluarlity, we suggest to subclassify this as a hyper-cellular variant.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".