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Selective non-ablative wrinkle reduction by laser

Bjerring, Peter, Egevist, Henrik, Clement, Marc, Heickendorff, Lene, Kiernan, Mike·2000·Journal of Cutaneous Laser Therapy

Abstract

BACKGROUND AND OBJECTIVES: Skin resurfacing and wrinkle removal is a large medical laser market. However, the rate of undesirable side effects is high and sometimes is not warranted by the aesthetic improvement observed. The authors have evaluated the potential benefits of an approach to selective non-ablative wrinkle reduction. MATERIALS AND METHODS: This technique selectively targets the microvasculature which plays a key role in the stimulation of enhanced collagen production. RESULTS: The study reported shows that application of the laser parameters described enhances collagen production by an average of 84%, measured 72 hours after a single laser treatment. This is achieved whilst leaving the skin barrier intact and with no adverse pigmentary changes. The study further shows that a cosmetic improvement is observed with an average value of 1.88 reduction in wrinkle appearance as measured on the Fitzpatrick Wrinkle Severity scale. This improvement was achieved with one brief treatment and no reported incidence of side effects. CONCLUSION: In conclusion, the treatment modality described may be a new approach to the treatment of wrinkles.

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Metadata

Authors
Bjerring, P., Egevist, H., Clement, M., Heickendorff, L., & Kiernan, M.
Venue
Journal of Cutaneous Laser Therapy
Published
2000-01
Volume
2
Issue
1
Pages
9-15
ISSN
1462-883X (ISSN-L)
OpenAlex
W2151817222
Cited by
205
References
0
FWCI
22.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selective non-ablative wrinkle reduction by laser. https://app.cochat.ai/papers/10.1080/14628830050516542
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Bjerring, P., Egevist, H., Clement, M., Heickendorff, L., & Kiernan, M. (2000). Selective non-ablative wrinkle reduction by laser. Journal of Cutaneous Laser Therapy. https://doi.org/10.1080/14628830050516542

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.