Primary Cutaneous Adenoid Cystic Carcinoma
Bibliographic record
Abstract
AIMS: This study examines clinical and pathologic features of primary cutaneous adenoid cystic carcinoma (ACC), with emphasis on biological behavior of these tumors. A total of 27 cases of primary cutaneous ACC with detailed follow-up information were evaluated. Clinically, these were solitary, slow-growing lesions, half of which were in the head and neck area. The median age was 62 years with a male predilection. Surgical excision was the treatment of choice. Histologically, the lesions were similar to those seen in the salivary glands. Tumors were classified as grade 1 (17), grade 2 (3), and grade 3 (7). The mitotic count was generally low (mean=1.9/mm), except in 2 high-grade tumors (>10 mitotic figures/mm). Sixteen cases showed perineural invasion. Immunohistochemically, cytokeratin positivity was noted in 13/13 cases, and CD117 was observed in 10/10 cases, with luminal/cytoplasmic staining for epithelial membrane antigen (14/16) and at least focal luminal expression for carcinoembryonic antigen (11/16), smooth muscle actin (10/13), and S100 staining (9/13). Eighteen cases had follow-up data (median 54 mo), 9 of which had local recurrences (50%). Three cases showed metastatic disease. No statistical difference was noted between tumor grade and local recurrence (P=0.77). Primary cutaneous ACC is a distinct entity with a more indolent behavior compared with its salivary counterpart. The cutaneous lesions tend to recur locally but have a low metastatic potential.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".