Prevention of Thyroidectomy Scar Using a New 1,550-nm Fractional Erbium–Glass Laser
Bibliographic record
Abstract
BACKGROUND: Surgical scars are a common cosmetic problem that occurs in various surgical fields including dermatology. Diverse trials have been made to prevent this annoying scar formation. Recently, 585- and 595-nm pulsed dye laser irradiation presented satisfactory cosmetic outcome for the treatment of surgical scars. Other fractionated lasers or light devices were also applied for scar treatment. OBJECTIVE: To determine the effectiveness and safety of a newly developed 1,550-nm fractional erbium-glass laser in the prevention of scar formation after total thyroidectomy. MATERIALS AND METHODS: Twenty-seven ethnic South Korean patients with linear surgical suture lines after total thyroidectomy operation were treated with a 1,550-nm fractional erbium-glass laser. The same surgeon performed all of the operations using the same surgical techniques. Each patient was treated four times at 1-month intervals using the same parameters (5- x 10-mm spot size, 10 mJ, 1,500 spot/cm(2), static mode). Initiation of the first irradiation was made approximately 2 to 3 weeks after the thyroidectomy. The scar prevention effects were evaluated each month for 6 months after thyroidectomy. Two kinds of assessment methods were applied in this evaluation. First, the Vancouver Scar Scale (VSS) was used. Second, three independent physicians gave a global assessment valuation to the final cosmetic results: poor (1), fair (2), good (3), or excellent (4). These results were compared with the surgical scars of a control group (patients who denied laser treatments and had no other treatments during the 6 months after total thyroidectomy by the same surgeon). RESULTS: The average VSS score was lower in the laser treatment group. The global assessment also presented better cosmetic outcomes in the treatment group than in the controls. CONCLUSION: A new 1,550-nm fractional erbium-glass laser may efficiently repress the formation and hypertrophy of thyroidectomy scars on the neck, and it can be safely applied in relatively dark Asian skin without noticeable adverse effects.
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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 | 0.000 |
| 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".