Newly Designed Upper Lateral Cartilage Flap for Preventing Depression of the Keystone Area in Large-Nose Septorhinoplasty
Bibliographic record
Abstract
IMPORTANCE: Because large dorsal reduction may weaken the keystone area, later notching of this area should be prevented while reducing large humps during septorhinoplasty. OBJECTIVE: To determine whether a triangular-shaped flap of upper lateral cartilages (ULCs) that we designed can prevent secondary deformity of the nasal dorsum in the keystone area following large hump reduction. DESIGN, SETTING, AND PARTICIPANTS: In this retrospective study, medical records as well as preoperative and postoperative photographs of septorhinoplasty cases in which triangular flaps had been used between April 1, 2012, and March 3, 2013, were reviewed. Data analysis was conducted from March 3 to May 10, 2014. Demographic data, amount of hump reduction, and any irregularity of the dorsum in the keystone area mentioned in the medical record or identified in postoperative profile view photographs were assessed. The study was conducted in a research center, and the operations were performed in a private setting. Patients had been scheduled for septorhinoplasty with flap reconstruction if more than 3 mm of dorsal hump reduction was planned and their skin was not thin. Of 41 identified patients, 3 could not be monitored for 1 year; 38 patients were included in the analysis. EXPOSURES: Open septorhinoplasty had been performed, and more than 3 mm of dorsum had been removed in all patients whose data were analyzed. During stepwise resection of the nasal dorsum, a triangular-shaped remnant of the most cephalomedial part of the ULC was maintained intact on each side over the keystone area. MAIN OUTCOMES AND MEASURES: Irregularity of the nasal dorsum over the keystone area in postoperative profile view photographs. RESULTS: More than 3 mm of hump reduction had been made in all 38 patients. No irregularities were observed in the postoperative photographs or had been found on digital examination of the keystone area after at least 12 months of follow-up. CONCLUSION AND RELEVANCE: Maintaining a remnant of the ULC over the keystone area in the form of a triangular-shaped flap on each side is a simple, reliable, and durable way to prevent notching of the keystone area during lowering of the nasal dorsum in large noses with sufficient skin thickness. LEVEL OF EVIDENCE: 4.
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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 | 0.001 |
| 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".