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Proceedings Paper

Brain cancer probed by native fluorescence and stokes shift spectroscopy
Author(s): Yan Zhou; Cheng-hui Liu; Yong He; Yang Pu; Qingbo Li; Wei Wang; Robert R. Alfano
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Paper Abstract

Optical biopsy spectroscopy was applied to diagnosis human brain cancer in vitro. The spectra of native fluorescence, Stokes shift and excitation spectra were obtained from malignant meningioma, benign, normal meningeal tissues and acoustic neuroma benign tissues. The wide excitation wavelength ranges were used to establish the criterion for distinguishing brain diseases. The alteration of fluorescence spectra between normal and abnormal brain tissues were identified by the characteristic fluorophores under the excitation with UV to visible wavelength range. It was found that the ratios of the peak intensities and peak position in both spectra of fluorescence and Stokes shift may be used to diagnose human brain meninges diseases. The preliminary analysis of fluorescence spectral data from cancer and normal meningeal tissues by basic biochemical component analysis model (BBCA) and Bayes classification model based on statistical methods revealed the changes of components, and classified the difference between cancer and normal human brain meningeal tissues in a predictions accuracy rate is 0.93 in comparison with histopathology and immunohistochemistry reports (gold standard).

Paper Details

Date Published: 11 December 2012
PDF: 8 pages
Proc. SPIE 8553, Optics in Health Care and Biomedical Optics V, 85531V (11 December 2012); doi: 10.1117/12.999463
Show Author Affiliations
Yan Zhou, Chinese People's Liberation Army General Hospital (China)
Cheng-hui Liu, The City College of New York, CUNY (United States)
Yong He, Beijing Normal Univ. (China)
Yang Pu, The City College of New York, CUNY (United States)
Qingbo Li, BeiHang Univ. (China)
Wei Wang, BeiHang Univ. (China)
Robert R. Alfano, The City College of New York, CUNY (United States)

Published in SPIE Proceedings Vol. 8553:
Optics in Health Care and Biomedical Optics V
Qingming Luo; Ying Gu; Xingde D. Li, Editor(s)

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