Spectral discrimination of serum from liver cancer and liver cirrhosis using Raman spectroscopy

Tianyue Yang; Xiaozhou Li; Ting Yu; Ruomin Sun; Siqi Li

doi:10.1117/12.889251

14 June 2011 Spectral discrimination of serum from liver cancer and liver cirrhosis using Raman spectroscopy

Tianyue Yang, Xiaozhou Li, Ting Yu, Ruomin Sun, Siqi Li

Proceedings Volume 8087, Clinical and Biomedical Spectroscopy and Imaging II; 808720 (2011) https://doi.org/10.1117/12.889251
Event: European Conferences on Biomedical Optics, 2011, Munich, Germany

Abstract

In this paper, Raman spectra of human serum were measured using Raman spectroscopy, then the spectra was analyzed by multivariate statistical methods of principal component analysis (PCA). Then linear discriminant analysis (LDA) was utilized to differentiate the loading score of different diseases as the diagnosing algorithm. Artificial neural network (ANN) was used for cross-validation. The diagnosis sensitivity and specificity by PCA-LDA are 88% and 79%, while that of the PCA-ANN are 89% and 95%. It can be seen that modern analyzing method is a useful tool for the analysis of serum spectra for diagnosing diseases.

Citation Download Citation

Tianyue Yang, Xiaozhou Li, Ting Yu, Ruomin Sun, and Siqi Li "Spectral discrimination of serum from liver cancer and liver cirrhosis using Raman spectroscopy", Proc. SPIE 8087, Clinical and Biomedical Spectroscopy and Imaging II, 808720 (14 June 2011); https://doi.org/10.1117/12.889251

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