Endoscopic Transnasal Eustachian Tube Reconstruction <i>via</i> Light Cable Technique: A Technical Report
Bibliographic record
Abstract
Patulous eustachian tube (pET) is a rare but disabling condition in which the cartilaginous portion of the ET is open at rest. Normally, the tube valve remains closed, opening transiently during swallow and yawn. Patients with pET describe autophony, aural fullness, and hearing one's own physiological sounds such as swallowing and respiration. Imbalance can also occur along with these other symptoms.1 The condition has been described as disabling to many patients.2 pET has been treated surgically with varying degrees of success using autologous cartilage grafting,2 silicone plugging,3 autologous fat grafting,4 suture ligation,5 transtubal cautery,1,5 and luminal reconstruction.6 Recently, the senior author published a longitudinal case series showing that a multilayer approach using cautery, fat plugging, and suture ligation of the ET to be effective in decreasing the autophony of pET.7 One patient in our series unexpectedly developed complete obliteration of her ET several months postendoscopic ligation. Although her autophony had resolved, she was now faced with constant middle ear effusion, myringotomy tube clogging, and ear pain and pressure, all of which severely limited her function. Her symptoms became even more debilitating than those caused by the original pET condition. After several attempts to suction the ear and replace the myringotomy tubes, it became evident that reopening the obliterated ET was the only option. Because her anatomy was drastically altered by scar tissue, there was no lumen visible and hence a conventional endoscopic dissection was not viable. In this technical report, a novel tuboplasty method using a fiberoptic light cable is described.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".