Novel antihelix instrument guided folding technique: A modification of Mustarde otoplasty
Bibliographic record
Abstract
Prominauris is the most common congenital ear deformity, presenting in 5 % of the global population, and most patients endorse negative experiences or aesthetic dissatisfaction as motivation for corrective otoplasty. Mustarde-Furnas is a popular otoplasty technique among pediatric patients. Given the cosmetic intention, result consistency is highly important in otoplasty, which our modification of the Mustarde technique aims to address. A retrospective chart review of pediatric patients with prominauris treated with our modified Mustarde technique at Children's Hospital between 2018 and 2025 was undertaken. The technique utilizes a drill barrel to physically control the neo-antihelix fold, and the tension of the Mustarde sutures; combined with Furnas sutures, for conchal setback. Demographics, auricle measurements, operative details, complications, and revisions were evaluated with descriptive statistics and paired t-tests. Thirty-five patients were included (mean age 12 years, range: 4-19). Significant differences between the pre- and post-operative measurements for three auricular points (mm) were found including superior helical [p < 0.001, mean difference (MD) = 7.67], and, superior and inferior external auditory canal [p < 0.001, MD = 9.35; p < 0.001, MD = 4.88, respectively]. No statistically significant differences were found between each measurement change and the measurement change in the corresponding contralateral auricle measurement (p > 0.05). Revision rate was 5.7 % (2/35), indicated for scar revision and recurrence. The latter prompted a suture switch, and no recurrence followed. The significant differences found across all auricular measurements, and the consistency of results between each auricle pair, demonstrate the potential efficacy of this modified-Mustarde technique for reliable otoplasty for aesthetic satisfaction and applications to trainee education.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".