Universidade Camilo Castelo Branco-UNICASTELO, Biomedical Engineering Institute, Parque Tecnológico de São José dos Campos, Rod. Pres. Dutra, km 138, São José dos Campos, São Paulo, 12247-004, Brazil.
J Biomed Opt. 2012 Jul;17(7):077003. doi: 10.1117/1.JBO.17.7.077003.
Raman spectroscopy has been employed to identify differences in the biochemical constitution of malignant [basal cell carcinoma (BCC) and melanoma (MEL)] cells compared to normal skin tissues, with the goal of skin cancer diagnosis. We collected Raman spectra from compounds such as proteins, lipids, and nucleic acids, which are expected to be represented in human skin spectra, and developed a linear least-squares fitting model to estimate the contributions of these compounds to the tissue spectra. We used a set of 145 spectra from biopsy fragments of normal (30 spectra), BCC (96 spectra), and MEL (19 spectra) skin tissues, collected using a near-infrared Raman spectrometer (830 nm, 50 to 200 mW, and 20 s exposure time) coupled to a Raman probe. We applied the best-fitting model to the spectra of biochemicals and tissues, hypothesizing that the relative spectral contribution of each compound to the tissue Raman spectrum changes according to the disease. We verified that actin, collagen, elastin, and triolein were the most important biochemicals representing the spectral features of skin tissues. A classification model applied to the relative contribution of collagen III, elastin, and melanin using Euclidean distance as a discriminator could differentiate normal from BCC and MEL.
拉曼光谱已被用于识别恶性[基底细胞癌（BCC）和黑色素瘤（MEL）]细胞与正常皮肤组织在生化组成上的差异，以期实现皮肤癌诊断。我们从蛋白质、脂质和核酸等化合物中收集拉曼光谱，这些化合物有望在人体皮肤光谱中得到体现，并开发了一种线性最小二乘拟合模型来估计这些化合物对组织光谱的贡献。我们使用近红外拉曼光谱仪（830nm，50 到 200mW，20 秒曝光时间）耦合拉曼探头，从正常（30 个样本）、BCC（96 个样本）和 MEL（19 个样本）皮肤组织的活检片段中收集了一组 145 个光谱。我们将最佳拟合模型应用于生化物质和组织的光谱，假设每种化合物对组织拉曼光谱的相对光谱贡献会根据疾病而变化。我们验证了肌动蛋白、胶原蛋白、弹性蛋白和三油酸甘油酯是代表皮肤组织光谱特征的最重要的生化物质。使用欧几里得距离作为判别器对胶原蛋白 III、弹性蛋白和黑色素的相对贡献进行分类模型分析，可以区分正常组织和 BCC 及 MEL。
