Epithelial Myoepithelial Carcinoma of the Nasal Cavity: Clinical, Histopathological, and Immunohistochemical Distinction of a Case Report
Bibliographic record
Abstract
BACKGROUND: Epithelial myoepithelial carcinomas (EMCs) are rare low-grade salivary gland tumors. Here, we report the case of a 75-year-old man presenting with an oncocytic variant of EMC of the nasal cavity, initially diagnosed as an oncocytoma. METHODS: Our patient underwent functional sinus surgery in 2012. On pathology, an oncocytic neoplasm was found in the right nasal cavity, characterized by fragments of uniform bland oncocytic cells with bilayered arrangement of nuclei. Immunohistochemical stains demonstrated biphasic cells: luminal epithelial and basal cell-type myoepithelial cells. The tumor was best diagnosed as an oncocytoma. In 2015, the patient presented with a recurrent right inferior turbinate lesion, compatible with oncocytic EMC. RESULTS: The patient underwent oncological surgery and received adjuvant radiotherapy. He had no disease recurrence. CONCLUSION: Different variants of EMCs exist, such as oncocytic EMC. EMCs should be treated aggressively because they can be locally invasive, recur, and give rise to distant metastases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 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".