Endoscopic tympanic neurectomy for otic neuralgia—a case series
Bibliographic record
Abstract
Abstract: Otic neuralgia (ON) is a diagnostic and therapeutic challenge. ON is often attributed to either direct or referred pain from other structures. The tympanic nerve is the major contributor to sensory supply of the middle ear mucosa. A tympanic neurectomy has previously been described for the management of ON with promising results. This work aims to describe an endoscopic approach to the tympanic neurectomy and assess results in a case series of 8 patients. A multi-center retrospective review was conducted searching for cases of endoscopic tympanic neurectomies performed for ON; the sites included Royal North Shore Hospital; Sydney, Macquarie University Hospital, Sydney and the Victoria General Hospital, Dalhousie University, Halifax. From May 2014 to December 2016 there were a total of eight endoscopic tympanic neurectomies performed for ON. The mean age at presentation was 46.4 years (range, 29–75 years), there were 7 females and 1 male. All patients were pain free after an average of 2.1 months (range, immediate relief to 5 months) with one case of recurrent ON noted that resolved after further treatment. Tympanic neurectomy offers a therapeutic option for ON once alternative causes have been excluded. The endoscope allows improved visualization allowing for a more precise and complete neurectomy.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".