Surgical Core Excision With Tongue Flap Closure in Combination With Electron Beam Radiotherapy in the Treatment of Ear Keloids
Bibliographic record
Abstract
BACKGROUND: Ear keloids are disfiguring disorders resistant to various treatments. OBJECTIVE: The authors aimed to assess the efficacy of surgical treatment of ear keloids in a Chinese population using a tongue flap with electron beam radiotherapy. METHODS: The authors conducted a retrospective analysis of 41 patients treated at the Affiliated Hospital of Nantong University between January 2018 and May 2021. Core excision with a tongue flap was performed, followed by 3 days of electron beam radiotherapy and 3 to 6 months of pressure clip application. The Vancouver Scar Scale (VSS) and the Visual Analog Scale (VAS) were used to assess the results. RESULTS: The mean age of the patients was 28.10 years (9-61 years). Postoperative follow-up ranged from 5 to 32 months (mean:12.07). The patients underwent 3 days of postoperative radiotherapy followed by pressure clips for 2 to 6 months. Thirty-seven patients had no recurrence, whereas 4 had a mild recurrence (<3 mm in height) with redness and itchiness. The VSS and VASscores significantly decreased. (p < .05). CONCLUSION: Excision with a tongue flap and radiotherapy can be used as the primary treatment for ear keloids considering the good outcome and long-term management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".