拉曼光谱
核磁共振
材料科学
光谱学
拉曼散射
人脑
磁共振成像
共振(粒子物理)
表面增强拉曼光谱
脑癌
癌细胞
分析化学(期刊)
脑瘤
作者
Yan Zhou,Cheng-hui Liu,Yi Sun,Yang Pu,Susie Boydston-White,Yulong Liu,Robert R. Alfano
标识
DOI:10.1117/1.jbo.17.11.116021
摘要
The resonance Raman (RR) spectra of six types of human brain tissues are examined using a confocal micro-Raman system with 532-nm excitation in vitro. Forty-three RR spectra from seven subjects are investigated. The spectral peaks from malignant meningioma, stage III (cancer), benign meningioma (benign), normal meningeal tissues (normal), glioblastoma multiforme grade IV (cancer), acoustic neuroma (benign), and pituitary adenoma (benign) are analyzed. Using a 532-nm excitation, the resonance-enhanced peak at 1548 cm −1 (amide II) is observed in all of the tissue specimens, but is not observed in the spectra collected using the nonresonance Raman system. An increase in the intensity ratio of 1587 to 1605 cm −1 is observed in the RR spectra collected from meningeal cancer tissue as compared with the spectra collected from the benign and normal meningeal tissue. The peak around 1732 cm −1 attributed to fatty acids (lipids) are diminished in the spectra collected from the menin- geal cancer tumors as compared with the spectra from normal and benign tissues. The characteristic band of spec- tral peaks observed between 2800 and 3100 cm −1 are attributed to the vibrations of methyl (─CH3) and methylene (─CH2─) groups. The ratio of the intensities of the spectral peaks of 2935 to 2880 cm −1 from the meningeal cancer tissues is found to be lower in comparison with that of the spectral peaks from normal, and benign tissues, which may be used as a distinct marker for distinguishing cancerous tissues from normal meningeal tissues. The statistical methods of principal component analysis and the support vector machine are used to analyze the RR spectral data collected from meningeal tissues, yielding a diagnostic sensitivity of 90.9% and specificity of 100% when two principal components are used. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). (DOI: 10.1117/1.JBO.17.11.116021)
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