Mucoepidermoid carcinoma of the parotid presenting as periauricular cystic nodules: a series of four cases
Bibliographic record
Abstract
Mucoepidermoid carcinoma is a relatively common neoplasm of the major and minor salivary glands that can secondarily involve skin. In the vicinity of the ear lobe, mimicry of a benign cyst, both clinically and histopathologically is a diagnostic pitfall to avoid. The clinical manifestations, diagnostic histopathology, and clinical course of mucoepidermoid carcinoma of the parotid gland presenting as a clinically benign periauricular cystic nodule in four patients ranging in age from 11 to 63 years, are analyzed in the present report. Illustrating the challenge of accurate diagnosis, three of the four cases were initially misinterpreted on biopsy as benign cystic lesions. Multiple biopsies displayed foamy histiocytes around mucinous extravasations into dermis that mimicked ruptured epithelial cysts in two cases before malignancy was ascertained. This series demonstrates the need to include parotid tumor in the differential diagnosis of odd periauricular cyst-like expansions and adenosquamous proliferations. Mucoepidermoid carcinoma in particular can explain indolent, infra-auricular 'mucinous cysts'. Familiarity with this syndrome should arouse suspicion of parotid carcinoma when a 'cyst' or nodule is located near the earlobe. Delay in diagnosis results in larger surgical procedures than are otherwise necessary.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".