Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near- infrared and visible regions
Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near- infrared and visible regions
复制标题
DOI：
10.1117/1.jbo.22.2.027005
复制
发表时间：
2017-02-01
影响因子：
3.5
通讯作者：
Zakharov, Valery P.
中科院分区：
文献类型：
--
作者：
Bratchenko, Ivan A.;Artemyev, Dmitry N.;Zakharov, Valery P.
通过对可见光和近红外激光激发的拉曼光谱和自体荧光光谱的联合分析，证实了皮肤黑色素瘤和基底细胞癌的鉴别。它在39个黑色素瘤和40个基底细胞癌上进行了体外试验。提出了六个光谱标准，利用肿瘤中黑色素、卟啉、黄素、脂类和胶原含量的变化信息，并与健康皮肤进行比较。所提议的标准之间的测量相关性使得为判别分析和主成分分析应用定义弱相关性标准组成为可能。实验结果表明，组合六准则多模式算法对癌组织的分类准确率达到97.3%，而每种模式单独确定的准确率不超过79%。联合6-D方法是一种快速、可靠的恶性皮肤检测和分类工具。(C)2017年光学仪器工程师学会(SPIE)
The differentiation of skin melanomas and basal cell carcinomas (BCCs) was demonstrated based on combined analysis of Raman and autofluorescence spectra stimulated by visible and NIR lasers. It was ex vivo tested on 39 melanomas and 40 BCCs. Six spectroscopic criteria utilizing information about alteration of melanin, porphyrins, flavins, lipids, and collagen content in tumor with a comparison to healthy skin were proposed. The measured correlation between the proposed criteria makes it possible to define weakly correlated criteria groups for discriminant analysis and principal components analysis application. It was shown that the accuracy of cancerous tissues classification reaches 97.3% for a combined 6-criteria multimodal algorithm, while the accuracy determined separately for each modality does not exceed 79%. The combined 6-D method is a rapid and reliable tool for malignant skin detection and classification. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)