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Proceedings Paper

Detection and grading of human gliomas by FTIR spectroscopy and a genetic classification algorithm
Author(s): Gerald Steiner; R. A. Shaw; Lin-P'ing Choo-Smith; Wolfram Steller; Laryssa Shapoval; Gabriele Schackert; Stephan Sobottka; Reiner Salzer; Henry H. Mantsch
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Paper Abstract

A new approach is presented to distinguish cancerous from normal brain tissue via linear discriminant analysis of Fourier transform infrared (FTIR) spectra. FTIR microspectroscopy was used to map various thin-section tumor samples with different malignancy grades (grades II-VI) and non-tumor samples obtained from various patients by surgical removal. Spectral analysis revealed features characteristic of tumors with increasing malignancy. A genetic region selection algorithm combined with linear discriminant analysis was used to derive classifiers distinguishing among spectra of control tissue, astrocytoma grade II, astrocytoma grade III and glioblastoma grade IV. Employing the World Health Organization histopathological diagnostic scheme as the gold standard, the spectra were classified with a success rate of approximately 85 percent. These results demonstrate the potential of the combination of FTIR spectroscopy and pattern recognition routines in providing a more objective method for brain tumour grading and diagnosis.

Paper Details

Date Published: 27 March 2002
PDF: 7 pages
Proc. SPIE 4614, Biomedical Vibrational Spectroscopy II, (27 March 2002); doi: 10.1117/12.460789
Show Author Affiliations
Gerald Steiner, Technische Univ. Dresden (Germany)
R. A. Shaw, National Research Council Canada (Canada)
Lin-P'ing Choo-Smith, National Research Council Canada (Canada)
Wolfram Steller, Technische Univ. Dresden (Germany)
Laryssa Shapoval, Technische Univ. Dresden (Germany)
Gabriele Schackert, Technische Univ. Dresden (Germany)
Stephan Sobottka, Technische Univ. Dresden (Germany)
Reiner Salzer, Technische Univ. Dresden (Germany)
Henry H. Mantsch, National Research Council Canada (Canada)

Published in SPIE Proceedings Vol. 4614:
Biomedical Vibrational Spectroscopy II
Anita Mahadevan-Jansen; Henry H. Mantsch; Gerwin J. Puppels, Editor(s)

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