Arroyo-Camarena Stefanie, Domínguez-Cherit Judith, Lammoglia-Ordiales Lorena, Fabila-Bustos Diego A, Escobar-Pio Abraham, Stolik Suren, Valor-Reed Alma, de la Rosa-Vázquez José
División de Dermatología, Hospital General "Dr. Manuel Gea González", 14080 Ciudad de México, México.
Departamento de Dermatología, Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", 14080 Ciudad de México, México.
Oncol Ther. 2016;4(2):315-331. doi: 10.1007/s40487-016-0036-9. Epub 2016 Dec 12.
Non-melanoma skin cancer is the most common malignancy worldwide. Differentiating between malignant and benign skin tumors, however, can be challenging. As a result, various auxiliary tools have been developed to aid in the diagnosis of cutaneous neoplasms. Here, skin tumors were investigated through analysis of their digital image histograms and spectroscopic response under ultraviolet (UV) and white light-emitting diodes (LEDs).
Fifty tumoral lesions were spectroscopically and histologically studied. For optical studies, UV at 375 nm and white LEDs were used to illuminate the lesions. Commercial cameras were used for imaging, and a miniature spectrometer with a bifurcated optical fiber was used for spectroscopic measurements.
In this study, the intensity histograms of the images taken under white and UV illumination and the spectroscopic response under white light showed clear differences between pigmented basal cell carcinoma (BCC), intradermal melanocytic nevus (IDN), and melanoma lesions for skin phototypes III and IV. However, there was little difference in their spectroscopic response to the UV LED.
We found differences in the intensity and shape of diffuse reflectance spectra of pigmented BCC, IDN, and melanoma lesions in patients with skin phototypes III and IV. Also, images taken under UV and white light were helpful for differentiation of these pigmented lesions. Additional research is needed to ascertain the clinical utility of these tools for skin cancer diagnosis.
非黑色素瘤皮肤癌是全球最常见的恶性肿瘤。然而,区分恶性和良性皮肤肿瘤可能具有挑战性。因此,已开发出各种辅助工具来协助皮肤肿瘤的诊断。在此,通过分析皮肤肿瘤的数字图像直方图以及其在紫外线(UV)和白色发光二极管(LED)下的光谱响应来对皮肤肿瘤进行研究。
对50个肿瘤性病变进行了光谱学和组织学研究。对于光学研究,使用375nm的紫外线和白色LED来照亮病变。使用商用相机进行成像,并使用带有分叉光纤的微型光谱仪进行光谱测量。
在本研究中,对于皮肤光类型III和IV,在白色和紫外线照明下拍摄的图像的强度直方图以及在白光下的光谱响应显示,色素性基底细胞癌(BCC)、皮内黑素细胞痣(IDN)和黑色素瘤病变之间存在明显差异。然而,它们对紫外线LED的光谱响应几乎没有差异。
我们发现皮肤光类型III和IV患者的色素性BCC、IDN和黑色素瘤病变的漫反射光谱的强度和形状存在差异。此外,在紫外线和白光下拍摄的图像有助于区分这些色素性病变。需要进一步研究以确定这些工具在皮肤癌诊断中的临床效用。