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1.
J Invest Dermatol ; 142(5): 1243-1252.e1, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-35461534

RESUMO

Over the past few years, high-resolution optical imaging technologies such as optical coherence tomography (OCT), reflectance confocal microscopy (RCM), and multiphoton microscopy (MPM) have advanced significantly as new methodologies for clinical research and for real-time detection, diagnosis, and therapy monitoring of skin diseases. Implementation of these technologies into clinical research and practice requires clinicians to have an understanding of their capabilities, benefits, and limitations. This concise review provides insights on the application of OCT, RCM, and MPM for clinical skin imaging through images acquired in vivo from the same lesions. The presented data are limited to pigmented lesions and basal cell carcinoma.


Assuntos
Carcinoma Basocelular , Neoplasias Cutâneas , Biópsia , Carcinoma Basocelular/diagnóstico por imagem , Carcinoma Basocelular/patologia , Humanos , Microscopia Confocal/métodos , Projetos de Pesquisa , Pele/diagnóstico por imagem , Pele/patologia , Neoplasias Cutâneas/diagnóstico por imagem , Neoplasias Cutâneas/patologia , Tomografia de Coerência Óptica
2.
Dermatol Surg ; 48(2): 201-206, 2022 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-34889211

RESUMO

BACKGROUND: Despite history of multiple treatment modalities, repigmentation of hypopigmented scars remains a difficult clinical problem. OBJECTIVE: The purpose of this review is to evaluate the literature on laser and combination laser plus adjunct topical therapy for hypopigmented burn and traumatic scars. MATERIALS AND METHODS: A search on PubMed and on Oxford Academic was conducted with additional relevant literature obtained from reference lists. RESULTS: Treatment regimens that address hypopigmentation within scars were reviewed. A combination of nonablative fractional or ablative fractional laser treatment with topical prostaglandin analogue with or without topical retinoid were found to result in superior repigmentation. CONCLUSION: Reliable improvement of hypopigmentation in scars after laser treatment is challenging. Laser can achieve success in some cases. Ultraviolet laser can achieve modest repigmentation; however, results are short-lived and require continued re-treatment. Modest improvement in pigmentation is seen with nonablative fractional laser or ablative fractional laser alone and enhanced repigmentation is demonstrated when combining fractional laser resurfacing with topical application of synthetic prostaglandin analogues and other known modulators of melanogenesis.


Assuntos
Queimaduras , Hipopigmentação , Terapia a Laser , Lasers de Gás , Queimaduras/cirurgia , Cicatriz/etiologia , Cicatriz/patologia , Cicatriz/terapia , Humanos , Hipopigmentação/etiologia , Hipopigmentação/terapia , Terapia a Laser/métodos , Lasers de Gás/uso terapêutico , Retinoides , Resultado do Tratamento
3.
Lasers Surg Med ; 53(8): 1011-1019, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-33476062

RESUMO

BACKGROUND AND OBJECTIVES: Non-invasive optical imaging has the potential to provide a diagnosis without the need for biopsy. One such technology is reflectance confocal microscopy (RCM), which uses low power, near-infrared laser light to enable real-time in vivo visualization of superficial human skin from the epidermis down to the papillary dermis. Although RCM has great potential as a diagnostic tool, there is a need for the development of reliable image analysis programs, as acquired grayscale images can be difficult and time-consuming to visually assess. The purpose of this review is to provide a clinical perspective on the current state of artificial intelligence (AI) for the analysis and diagnostic utility of RCM imaging. STUDY DESIGN/MATERIALS AND METHODS: A systematic PubMed search was conducted with additional relevant literature obtained from reference lists. RESULTS: Algorithms used for skin stratification, classification of pigmented lesions, and the quantification of photoaging were reviewed. Image segmentation, statistical methods, and machine learning techniques are among the most common methods used to analyze RCM image stacks. The poor visual contrast within RCM images and difficulty navigating image stacks were mediated by machine learning algorithms, which allowed the identification of specific skin layers. CONCLUSIONS: AI analysis of RCM images has the potential to increase the clinical utility of this emerging technology. A number of different techniques have been utilized but further refinements are necessary to allow consistent accurate assessments for diagnosis. The automated detection of skin cancers requires more development, but future applications are truly boundless, and it is compelling to envision the role that AI will have in the practice of dermatology. Lasers Surg. Med. © 2020 Wiley Periodicals LLC.


Assuntos
Dermatologia , Neoplasias Cutâneas , Inteligência Artificial , Humanos , Microscopia Confocal , Pele/diagnóstico por imagem , Neoplasias Cutâneas/diagnóstico por imagem
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