Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging
Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging
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DOI：
10.1364/boe.9.001852
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发表时间：
2018-04-01
影响因子：
3.4
通讯作者：
Spigulis, Janis
中科院分区：
文献类型：
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作者：
Lihachev, Alexey;Lihacova, Ilze;Spigulis, Janis
进行了一项皮肤病变自发荧光成像的临床试验，其中包括 16 例经皮肤病学证实的色素痣、15 例脂溢性角化病、2 例发育不良痣、17 例经组织学证实的基底细胞癌和 1 例黑色素瘤。皮肤病变的自发荧光空间特性通过智能手机 RGB 相机在 405 nm LED 激发下获得。诊断标准基于计算所检查病变在 515 nm700 nm 光谱范围内的平均自发荧光强度。所提出的方法能够区分脂溢性角化病与基底细胞癌、色素痣和黑色素瘤。该方法的敏感性和特异性估计接近 100%。本文讨论了所提出的方法和潜在的临床应用。 (c) 2018 年美国光学协会根据 OSA 开放获取出版协议的条款
A clinical trial on the autofluorescence imaging of skin lesions comprising 16 dermatologically confirmed pigmented nevi, 15 seborrheic keratosis, 2 dysplastic nevi, histologically confirmed 17 basal cell carcinomas and 1 melanoma was performed. The autofluorescence spatial properties of the skin lesions were acquired by smartphone RGB camera under 405 nm LED excitation. The diagnostic criterion is based on the calculation of the mean autofluorescence intensity of the examined lesion in the spectral range of 515 nm700 nm. The proposed methodology is able to differentiate seborrheic keratosis from basal cell carcinoma, pigmented nevi and melanoma. The sensitivity and specificity of the proposed method was estimated as being close to 100%. The proposed methodology and potential clinical applications are discussed in this article. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement