ArticleJournal of biomedical optics2024
Quantitative classification of melasma with photoacoustic microscopy: a pilot study.
Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Decoding melanin dynamics: Photoacoustic microscopy reveals differential aging of metabolic and keratinized skin zones.Photoacoustics · 2026Article
- Pathogenesis of Melasma Explained.International journal of dermatology · 2025Review
- Combination of Three Treatment Modes of 1064 nm Nd: YAG Laser in the Treatment of Melasma: A Retrospective Observational Study.Clinical, cosmetic and investigational dermatology · 2025Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significance: The classification of melasma is critical for correct clinical diagnosis, treatment selection, and postoperative measures. However, preoperative quantitative determination of melasma type remains challenging using conventional Wood's lamp and optical dermoscopy techniques. Aim: Using photoacoustic microscopy (PAM) to simultaneously obtain the two diagnostic indicators of melanin and blood vessels for melasma classification and perform quantitative analysis to finally achieve accurate classification, rather than relying solely on physicians' experience. Approach: First, the patients were classified by experienced dermatologists with Wood's lamp and optical dermoscopy. Next, the patients were examined Results: PAM can quantitatively reveal epidermal thickness and dermal vascular morphology in each case and obtain the quantitative diagnostic indicators of melanin and blood vessels. The mean vascular diameter in lesional skin ( Conclusions: PAM can obtain the data of epidermal thickness, pigment depth, subcutaneous vascular diameter, and vascular density, and realize the dual standard quantitative melasma classification by combining the parameters of melanin and blood vessels. In addition, PAM can provide new diagnostic information for uncertain melasma types and further refine the typing.
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