Mitomycin C in Sinus Surgery: Preliminary Results in a Rabbit Model
Bibliographic record
Abstract
Mitomycin C (MMC) is an antineoplastic agent with an antiproliferative effect on fibroblasts. It is routinely used topically in ophthalmology. The goal of this research project is to evaluate if topically applied MMC at the site of a maxillary antrostomy will inhibit the healing process of the mucosa and reduce the risk of postoperative stenosis. Antrostomies were carried out in both maxillary sinuses of 10 rabbits. For each rabbit, MMC is applied at the site of the antrostomy on one side while the other side serves as control. Antrostomies are re-evaluated 3 weeks later and their areas measured precisely. Seven of 10 control antrostomies were closed compared to only 1 of the 10 treated with MMC (p = .014). Comparison of the areas of the control and treated sides also proved to be statistically significant (p = .0039). Topical application of MMC was not associated with any systemic side effects and did not cause any permanent microscopic changes since the mucosa re-epithelialized normally. These results suggest that MMC slows the postoperative healing process of the nasal mucosa of the rabbit without affecting re-epithelialization. This could allow antrostomies to heal with a wider diameter, decreasing the risk of postoperative stenosis. Our next step will be to reproduce these results following functional endoscopic surgery on humans.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".