Use of a Microendoscope for Transtympanic Drug Delivery to the Round Window Membrane in Chinchillas
Bibliographic record
Abstract
INTRODUCTION: Systemic drug application for the treatment of inner ear diseases is restricted because of the blood-labyrinthine barrier and the limited blood supply to the inner ear. Local drug delivery to the inner ear can be an alternative method to overcome the problems with systemic application. The purpose of the present study was to describe the anatomic orientation of the round window membrane (RWM) and to examine the use of a microendoscope for transtympanic drug delivery to the RWM in the chinchilla animal model. MATERIALS AND METHODS: Fourteen female chinchillas were used for anatomic dissections (n = 4, 8 ears) and comparison of otomicroscopy (n = 5, 10 ears) with otoendoscopy (n = 5, 10 ears) for visualization and transtympanic application of methylene blue to the RWM of the animals. RESULTS: The external auditory meatus in chinchillas is S-shaped, and the RWM is not accessible through the tympanic membrane in otomicroscopy. The use of a special microendoscope makes it relatively easy to have an accurate transtympanic access to the RWM. The working channel of the microendoscope permitted successful delivery of methylene blue to the RWM in all tested chinchillas. CONCLUSION: The present study is the first published study that shows the feasibility of a microendoscope for transtympanic drug delivery to the RWM in animal models. Minor technical modifications are recommended, which will make the microendoscope an easy tool for future studies on local drug delivery to the RWM in the chinchilla animal model.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".