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Quantitative classification of melasma with photoacoustic microscopy: a pilot study

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 p...

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Detalles Bibliográficos
Autores principales: Wang, Zhiyang, Chen, Yuying, Pan, Shu, Zhang, Wuyu, Guo, Ziwei, Wang, Yuzhi, Yang, Sihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624224/
https://www.ncbi.nlm.nih.gov/pubmed/37927370
http://dx.doi.org/10.1117/1.JBO.29.S1.S11504
Descripción
Sumario: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 in vivo using the PAM imaging system. Further, the horizontal section images ([Formula: see text] plane) of epidermal melanin and dermal vascular involvement were extracted from the 3D photoacoustic imaging results, which are important basis for PAM to quantitatively classify melasma. 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 ([Formula: see text]) of epidermal M+V-type was much larger than that in non-lesional skin ([Formula: see text]), and the mean vascular density in lesional skin was more than three times that in non-lesional skin. Importantly, vascular diameter and density are important parameters for distinguishing M type from M+V type. 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.