Optical Bioimaging Laboratory, Department of Bioengineering, Faculty of Engineering, National University of Singapore, 9, Engineering Drive 1, Singapore 117576.
Analyst. 2011 Oct 21;136(20):4328-36. doi: 10.1039/c1an15296c. Epub 2011 Aug 25.
This study aimed to evaluate the clinical utility of applying near-infrared (NIR) Raman spectroscopy and genetic algorithm-partial least squares-discriminant analysis (GA-PLS-DA) to identify biomolecular changes of cervical tissues associated with dysplastic transformation during colposcopic examination. A total of 105 in vivo Raman spectra were measured from 57 cervical sites (35 normal and 22 precancer sites) of 29 patients recruited, in which 65 spectra were from normal sites, while 40 spectra were from cervical precancerous lesions (i.e., 7 low-grade CIN and 33 high-grade CIN). The GA feature selection technique incorporated with PLS was utilized to study the significant biochemical Raman bands for differentiation between normal and precancer cervical tissues. The GA-PLS-DA algorithm with double cross-validation (dCV) identified seven diagnostically significant Raman bands in the ranges of 925-935, 979-999, 1080-1090, 1240-1260, 1320-1340, 1400-1420, and 1625-1645 cm(-1) related to proteins, nucleic acids and lipids in tissue, and yielded a diagnostic accuracy of 82.9% (sensitivity of 72.5% (29/40) and specificity of 89.2% (58/65)) for precancer detection. The results of this exploratory study suggest that Raman spectroscopy in conjunction with GA-PLS-DA and dCV methods has the potential to provide clinically significant discrimination between normal and precancer cervical tissues at the molecular level.
本研究旨在评估近红外（NIR）拉曼光谱和遗传算法-偏最小二乘法判别分析（GA-PLS-DA）在识别阴道镜检查中与发育不良转化相关的宫颈组织生物分子变化方面的临床应用。共从 29 名患者的 57 个宫颈部位（35 个正常和 22 个癌前部位）测量了 105 个体内拉曼光谱，其中 65 个光谱来自正常部位，40 个光谱来自宫颈癌前病变（即 7 个低级别 CIN 和 33 个高级别 CIN）。结合 PLS 使用 GA 特征选择技术来研究区分正常和癌前宫颈组织的重要生化拉曼带。GA-PLS-DA 算法与双交叉验证（dCV）相结合，在 925-935、979-999、1080-1090、1240-1260、1320-1340、1400-1420 和 1625-1645 cm(-1)范围内鉴定出与组织中蛋白质、核酸和脂质相关的七个具有诊断意义的拉曼带，诊断准确率为 82.9%（敏感性为 72.5%（29/40），特异性为 89.2%（58/65））用于癌前检测。这项探索性研究的结果表明，拉曼光谱结合 GA-PLS-DA 和 dCV 方法有可能在分子水平上提供对正常和癌前宫颈组织的具有临床意义的区分。
