Lymphoepithelioma-Like Carcinoma of the Skin: Case Report and Approach to Surgical Pathology Sign Out
Bibliographic record
Abstract
Lymphoepithelioma-like carcinoma of the skin (LELCS) is a rare and poorly differentiated variant of squamous cell carcinoma. The lesion is histologically identical to undifferentiated nasopharyngeal carcinoma (lymphoepithelioma), but with Epstein-Barr virus involvement documented rarely. The first case of LELCS was described in 1988 by Swanson et al. and since there has been less than a total of 60 cases documented. This case review discusses a 87 year old man who presented to his primary care physician with a 2.5 cm solitary ulcerated nodular lesion on his right chest for two weeks. The patient ultimately had the lesion excised and sent for histological examination. The microscopic examination, ancillary studies used and differential diagnosis considered are discussed in detail in the following report. This case review aims to provide insight and approach to a rare cutaneous neoplasm, with the conclusions supporting a theory that LELCS is a separate entity from lymphoepithelioma.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".