Anterior Nasal Schwannoma: A Rare Sinonasal Neoplasm
Bibliographic record
Abstract
Schwannomas are the most common type of benign peripheral nerve tumor in adults. Schwann cells assist in the conduction of nerve impulses and wrap around peripheral nerves to provide protection and support. Schwannomas typically arise from a single fascicle within the main nerve. Although they can occur anywhere in the body, nasal schwannomas are exceptionally rare. This case study presents a 65-year-old Caucasian female who had been experiencing obstructive nasal symptoms for three months. The in-office physical examination revealed a soft tissue expansile mass involving the submucosal tissues of the bilateral anterior nasal cavity, located just posterior to the columella. The mass was surgically excised in the operating room, and the diagnosis was confirmed through histopathology. With only 32 reported cases, nasal septal schwannomas are exceedingly rare. Diagnosis relies on histopathology for confirmation. However, their clinical presentation can mimic other sinonasal pathologies. A septal schwannoma should be considered as a differential diagnosis for a unilateral sinonasal mass. Complete excision is the definitive treatment and is associated with a low recurrence rate. The patient had no signs of reoccurrence on nasal endoscopy three months postoperatively. Surveillance MRI will be completed at one year.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".