Treatment of Surgical Scars with the Cryogen-Cooled 595 nm Pulsed Dye Laser Starting on the Day of Suture Removal
Bibliographic record
Abstract
BACKGROUND: Cosmetic results after skin surgery are a key component of patient satisfaction and self-image. Various lasers have been used to attempt scar improvement, without consistent results. The optimal time to initiate laser treatment has not been determined. A recent study using a noncooled 585 nm pulsed dye laser starting on the day of suture removal demonstrated substantial improvement in scar appearance. OBJECTIVE: To determine the efficacy of the 595 nm cryogen-cooled pulsed dye laser in the treatment of surgical scars starting on the day of suture removal. METHODS: Sixteen patients with postoperative linear scars of greater than 2 cm were treated three times at 4- to 8-week intervals with a 595 nm cryogen-cooled pulsed dye laser. All patients had Fitzpatrick skin types I to IV. Each scar was divided at the midline into two fields, with half receiving treatment using a 7 mm spot size at 1.5 ms with 8 J/cm2 and a 30 ms spray duration with a 10 ms delay. The other half was not treated. Scars were evaluated for pigmentation, vascularity, pliability, and height by a blinded examiner using the Vancouver Scar Scale (VSS). In addition, the same blinded examiner evaluated the cosmetic appearance using a scale from 0 (worst) to 10 (best) prior to the second treatment and 1 month after the final treatment. RESULT: SThe average sum of all parameters in the VSS showed significant improvement from 1-month post-treatment to the final evaluation of 60% compared with the control of -3%. Also, scars in the treated portions scored an average of 2 points higher in the overall cosmetic appearance by the same blinded examiner based on a scale of 0 (worst) to 10 (best). Among the individual parameters in the VSS, the most significant improvements were found in vascularity and pliability. CONCLUSION: The cryogen-cooled 595 nm pulsed dye laser is a safe and effective option to improve the cosmetic appearance of surgical scars in skin types I to IV starting on the day of suture removal.
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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) | 0.000 | 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) | 0.002 | 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".