Romeo Melissa J, Quinn Michael A, Burden Frank R, McNaughton Don
Centre for Biospectroscopy, School of Chemistry, Monash University, Victoria 3800, Australia.
Biopolymers. 2002;67(4-5):362-6. doi: 10.1002/bip.10114.
IR spectroscopy and principal components analysis (PCA) of endocervical cells and smears diagnosed with benign cellular changes were investigated to determine the influence of these potential confounding variables in the diagnosis of cervical cancer. Spectral differences in all cell and diagnostic types investigated were found in the phosphodiester and carbohydrate regions. However, the spectral differences in other bands were not distinct enough to allow differentiation between groups. The PCA was successfully used to obtain a separation of normal ectocervical smears from normal endocervical cells and smears diagnosed with inflammation, Candida albicans, and bacterial vaginosis. A separation with a slight overlap of abnormal ectocervical smears from normal endocervical cells, inflammation, and bacterial vaginosis was obtained with PCA. Candida was not separated from abnormal ectocervical smears with any success.
研究了宫颈内细胞和诊断为良性细胞变化的涂片的红外光谱和主成分分析(PCA),以确定这些潜在混杂变量在宫颈癌诊断中的影响。在所研究的所有细胞和诊断类型中,在磷酸二酯和碳水化合物区域发现了光谱差异。然而,其他波段的光谱差异不够明显,无法区分不同组。PCA成功地用于将正常宫颈外涂片与正常宫颈内细胞以及诊断为炎症、白色念珠菌和细菌性阴道病的涂片区分开来。PCA实现了异常宫颈外涂片与正常宫颈内细胞、炎症和细菌性阴道病的轻微重叠分离。念珠菌与异常宫颈外涂片未能成功分离。