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Proceedings Paper

Resonance Raman spectroscopy for human cancer detection of key molecules with clinical diagnosis
Author(s): Yan Zhou; Cheng-hui Liu; Jiyou Li; Lixin Zhou; Jingsheng He; Yi Sun; Yang Pu; Ke Zhu; Yulong Liu; Qingbo Li; Gangge Cheng; Robert R. Alfano
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Paper Abstract

Resonance Raman (RR) has the potential to reveal the differences between cancerous and normal breast and brain tissues in vitro. This differences caused by the changes of specific biomolecules in the tissues were displayed in resonance enhanced of vibrational fingerprints. It observed that the changes of reduced collagen contents and the number of methyl may show the sub-methylation of DNA in cancer cells. Statistical theoretical models of Bayesian, principal component analysis (PCA) and support vector machine (SVM) were used for distinguishing cancer from normal based on the RR spectral data of breast and meninges tissues yielding the diagnostic sensitivity of 80% and 90.9%, and specificity of 100% and 100%, respectively. The results demonstrated that the RR spectroscopic technique could be applied as clinical optical pathology tool with a high accuracy and reliability.

Paper Details

Date Published: 19 March 2013
PDF: 9 pages
Proc. SPIE 8577, Optical Biopsy XI, 85770B (19 March 2013); doi: 10.1117/12.2002818
Show Author Affiliations
Yan Zhou, The General Hospital of the Air Force, PLA (China)
Cheng-hui Liu, The City College of New York (United States)
Jiyou Li, Beijing Cancer Hospital (China)
Lixin Zhou, Beijing Cancer Hospital (China)
Jingsheng He, Beijing Cancer Hospital (China)
Yi Sun, The City College of New York (United States)
Yang Pu, The City College of New York (United States)
Ke Zhu, Institute of Physics (China)
Yulong Liu, Institute of Physics (China)
Qingbo Li, BeiHang Univ. (China)
Gangge Cheng, The General Hospital of the Air Force, PLA (China)
Robert R. Alfano, The City College of New York (United States)

Published in SPIE Proceedings Vol. 8577:
Optical Biopsy XI
Robert R. Alfano; Stavros G. Demos, Editor(s)

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