Primary middle ear Epstein‐Barr virus‐related lymphoepithelial carcinoma: Case reports and systematic review
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: To report two cases of primary lymphoepithelial carcinoma in the middle ear and to determine the optimal treatment for such lesions. STUDY DESIGN/METHODS: Case reports and a systematic review of the literature. RESULTS: Primary lymphoepithelial carcinoma in the middle ear is an exceptionally rare condition with only two other cases reported in the literature. There appears to be an association with Epstein-Barr virus infection and in those patients originating from the Guangdong province of China, much as is the case for similar lesions found in the nasopharynx. Piecemeal rather than en bloc excision, in combination with adjuvant radiotherapy, appears to adequately control the disease. CONCLUSIONS: Primary lymphoepithelial carcinoma of the middle ear is a rare lesion, which when treated has a good prognosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".