An endonasal approach to the resection of a papillary seromucinous adenocarcinoma of the Eustacian tube
Bibliographic record
Abstract
OBJECTIVES: Papillary seromucinous adenocarcinoma of the sinonasal tract is exceedingly rare. The objectives of this case report are to describe a case of papillary seromucinous adenocarcinoma presenting in the nasopharynx and to review the literature pertaining to other similar cases. METHODS: A review of the patient's chart and a review of the English literature were conducted. RESULTS: We describe the case of a 64 year-old woman who presented with a 3-year history of epistaxis and right-sided otitis media with effusion. The patient had been followed for a known nasopharyngeal mass that had twice been biopsied and in both cases was considered a benign mass pathologically. A third biopsy was diagnosed as a low-grade papillary seromucinous adenocarcinoma. The patient was otherwise asymptomatic. The patient was referred to a multidisciplinary cancer clinic at which endoscopic resection was determined to be the preferred treatment modality. A literature review and approach to patients with nasopharyngeal masses will be presented. CONCLUSIONS: Papillary seromucinous adenocarcinoma is a rare tumor that can present in the nasopharynx. We describe the endoscopic surgical management of one such patient that presented to our care.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".