McIntosh L M, Jackson M, Mantsch H H, Stranc M F, Pilavdzic D, Crowson A N
Institute for Biodiagnostics, National Research Council of Canada, Winnipeg, Manitoba.
J Invest Dermatol. 1999 Jun;112(6):951-6. doi: 10.1046/j.1523-1747.1999.00612.x.
Infrared spectroscopy, by probing the molecular vibration of chemical bonds, directly indicates tissue biochemistry. An expanding body of literature suggests that infrared spectra distinguish diseased from normal tissue. The authors used infrared spectroscopy to examine basal cell carcinoma to explore distinctive characteristics of basal cell carcinoma versus normal skin samples and other skin neoplasms. Spectra of epidermis, tumor, follicle sheath, and dermis were acquired from unstained frozen sections, and analyzed qualitatively, by t-tests and by linear discriminant analyses. Dermal spectra were significantly different from the other skin components mainly due to absorptions from collagen in dermis. Spectra of normal epidermis and basal cell carcinoma were significantly different by virtue of subtle differences in protein structure and nucleic acid content. Linear discriminant analysis characterized spectra as arising from basal cell carcinoma, epidermis, or follicle sheath with 98.7% accuracy. Use of linear discriminant analysis accurately classified spectra as arising from epidermis overlying basal cell carcinoma versus epidermis overlying nontumor-bearing skin in 98.0% of cases. Spectra of basal cell carcinoma, squamous cell carcinoma, nevi, and malignant melanoma were qualitatively similar. Distinction of basal cell carcinoma, squamous cell carcinoma, and melanocytic lesions by linear discriminant analyses, however, was 93.5% accurate. Therefore, spectral separation of abnormal versus normal tissue was achieved with high sensitivity and specificity, which points to infrared spectroscopy as a potentially useful screening tool for cutaneous neoplasia.
红外光谱通过探测化学键的分子振动,直接反映组织生物化学情况。越来越多的文献表明,红外光谱能够区分病变组织与正常组织。作者运用红外光谱对基底细胞癌进行研究,以探寻基底细胞癌相对于正常皮肤样本及其他皮肤肿瘤的独特特征。从未染色的冰冻切片获取表皮、肿瘤、毛囊鞘和真皮的光谱,并进行定性分析、t检验以及线性判别分析。真皮光谱与其他皮肤成分存在显著差异,主要是由于真皮中胶原蛋白的吸收所致。正常表皮和基底细胞癌的光谱因蛋白质结构和核酸含量的细微差异而显著不同。线性判别分析对光谱进行特征提取,将其区分为基底细胞癌、表皮或毛囊鞘,准确率达98.7%。在98.0%的病例中,运用线性判别分析能够准确地将光谱分类为来自基底细胞癌上方的表皮与非肿瘤皮肤上方的表皮。基底细胞癌、鳞状细胞癌、痣和恶性黑色素瘤的光谱在定性上相似。然而,通过线性判别分析区分基底细胞癌、鳞状细胞癌和黑素细胞性病变的准确率为93.5%。因此,实现了异常组织与正常组织的光谱分离,且具有高灵敏度和特异性,这表明红外光谱作为一种潜在有用的皮肤肿瘤筛查工具。