A Novel Punch Technique for Facial Pigmented Melanocytic Nevus
Bibliographic record
Abstract
The punch tool is a swift and practical instrument in the facial pigmented melanocytic nevus. However, few studies have evaluated the efficacy of the method for facial pigmented nevus. The aim of this study was to evaluate the practicability and effectiveness of removing facial pigmented nevus by punch biopsy technique. This was an observational study of patients with facial pigmented nevus in the Hospital of Plastic Surgery, Weifang Medical University. The ages of patients ranged from 15 to 36 years (average, 25 y). The outcome evaluations included Vancouver Scar Scale (VSS) score, esthetic appearance, and patient satisfaction. Following standard procedures, preoperative surgical excision was performed with safety margins. Anatomopathologic analysis of the surgical specimen was used as the gold standard to evaluate the accuracy of diagnosis by punch biopsy. From January 2019 to January 2020, this punch technique was carried out on 96 patients (151 pigmented nevus) with 35 melanocytic nevus on the forehead, 39 on the cheek, 21 on the eyelid, and 45 on the nose, whereas 11 were on nasolabial folds. The diameters of pigmented nevus are 0.5 to 10 mm on the face. All patients were evaluated at a follow-up visit ranging from 6 to 20 months (average, 11±1.5 mo) and healed with no complication. The histopathological examinations of the skin lesions showed benign outcomes. The mean Vancouver Scar Scale were 1.1±0.4. Ideal cosmetic and functional outcomes were achieved in 94 patients (97.9%). All patients achieved complete satisfaction except 2 patients with partial satisfaction. No recurrences and complications were recorded. This study demonstrated that the punch technique is an effective method to remove facial pigmented melanocytic nevus with acceptable functional and esthetic outcomes without relapse.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".