Study on Bladder Cancer Tissues with Raman Spectroscopy
WANG Lei1, FAN Jin-hai1*, GUAN Zhen-feng1, LIU You2, ZENG Jin1, HE Da-lin1, HUANG Li-qing2, WANG Xin-yang1, GONG Hui-ling3
1. Department of Urology, No.1 Affiliated Hospital of Xi’an Jiaotong University, Key Laboratory of Environment and Genes Related to Disease, Ministry of Education, Xi’an 710061，China 2. Department of Physics, School of Science, Xi’an Jiaotong University, Xi’an 710049, China 3. Department of Pathology, No.1 Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061，China
Abstract：The scope of this research lies in diagnosis of bladder cancer through Raman spectra. The spectra of bladder cancer and normal bladder were measured by using laser confocal Raman micro-spectroscopy. Principal component analysis/support vector machines was applied to the spectral dataset to construct diagnostic algorithms, then to detect the accuracy of these algorithms to determine histological diagnosis by leave-one-out cross validation from its Raman spectrum. It was showed that the peak intensity of nucleic acid (782, 1 583 cm-1) in bladder cancer and protein (1 061, 1 295, 2 849, 2 881 cm-1) in normal bladder increased significantly. Additionally, Principal component analysis (PCA) and support vector machines (SVM) provided an effective tool for differentiating the bladder cancer from normal bladder tissue. Excellent sensitivity (86.7%), specificity (87.5%), positive predictive value (92.9%), and negative predictive value (72.8%) for the diagnosis of bladder cancer were obtained by leave-one-out cross validation. It was concluded that Raman spectroscopy can be used to accurately identify bladder cancer in vitro, and it suggests the promising potential application of PCA/SVM-based Raman spectroscopy for the diagnosis of bladder cancer.
王 磊1，范晋海1*，管振锋1，刘 悠2，曾 津1， 贺大林1，黄丽清2，王新阳1，宫慧玲3 . 膀胱肿瘤离体组织的拉曼光谱学研究[J]. 光谱学与光谱分析, 2012, 32(01): 123-126.
WANG Lei1, FAN Jin-hai1*, GUAN Zhen-feng1, LIU You2, ZENG Jin1, HE Da-lin1, HUANG Li-qing2, WANG Xin-yang1, GONG Hui-ling3 . Study on Bladder Cancer Tissues with Raman Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(01): 123-126.
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