McIntosh L M, Summers R, Jackson M, Mantsch H H, Mansfield J R, Howlett M, Crowson A N, Toole J W
Institute for Biodiagnostics, National Research Council of Canada, Winnipeg, MB, Canada.
J Invest Dermatol. 2001 Jan;116(1):175-81. doi: 10.1046/j.1523-1747.2001.00212.x.
A noninvasive tool for skin tumor diagnosis would be a useful clinical adjunct. The purpose of this study was to determine whether near-infrared spectroscopy can be used to noninvasively characterize skin lesions. In vivo visible- and near-infrared spectra (400--2500 nm) of skin neoplasms (actinic keratoses, basal cell carcinomas, banal common acquired melanocytic nevi, dysplastic melanocytic nevi, actinic lentigines, and seborrheic keratoses) were collected by placing a fiberoptic probe on the skin. Paired t tests, repeated measures analysis of variance and linear discriminant analysis were used to determine whether significant spectral differences existed and whether spectra could be classified according to lesion type. Paired t tests showed significant differences (p < 0.05) between normal skin and skin lesions in several areas of the near-infrared spectrum. In addition, significant differences were found between the lesion groups by analysis of variance. Linear discriminant analysis classified spectra from benign lesions compared with premalignant or malignant lesions with high accuracy. Near-infrared spectroscopy is a promising noninvasive technique for the screening of skin lesions.
一种用于皮肤肿瘤诊断的非侵入性工具将是一种有用的临床辅助手段。本研究的目的是确定近红外光谱是否可用于非侵入性地表征皮肤病变。通过将光纤探头置于皮肤上,收集皮肤肿瘤(光化性角化病、基底细胞癌、普通获得性黑素细胞痣、发育异常黑素细胞痣、光化性雀斑和脂溢性角化病)的体内可见和近红外光谱(400 - 2500 nm)。采用配对t检验、重复测量方差分析和线性判别分析来确定是否存在显著的光谱差异以及光谱是否可根据病变类型进行分类。配对t检验显示,在近红外光谱的几个区域,正常皮肤与皮肤病变之间存在显著差异(p < 0.05)。此外,通过方差分析发现病变组之间存在显著差异。线性判别分析对良性病变的光谱与癌前或恶性病变的光谱进行分类时具有较高的准确性。近红外光谱是一种用于筛查皮肤病变的有前景的非侵入性技术。