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Proceedings Paper

Validation of IR-spectroscopic brain tumor classification
Author(s): C. Beleites; G. Steiner; S. Sobottka; G. Schackert; R. Salzer
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Paper Abstract

As a molecular probe of tissue composition, infrared spectroscopic imaging serves as an adjunct to histopathology in detecting and diagnosing disease. In the past it was demonstrated that the IR spectra of brain tumors can be discriminated from one another according to their grade of malignancy. Although classification success rates up to 93% were observed one problem consists in the variation of the models depending on the number of samples used for the development of the classification model. In order to open the path for clinical trials the classification has to be validated. A series of classification models were built using a k-fold cross validation scheme and the classification predictions from the various models were combined to provide an aggregated prediction. The validation highlights instabilities in the models, error rates, sensitivity as well as specificity of the classification and allows the determination of confidence intervals. Better classification models could be achieved by an aggregated prediction. The validation shows that brain tumors can be classified by infrared spectroscopy and the grade of malignancy corresponds reasonably to the histopathological assignment.

Paper Details

Date Published: 22 February 2006
PDF: 9 pages
Proc. SPIE 6078, Photonic Therapeutics and Diagnostics II, 60782V (22 February 2006); doi: 10.1117/12.647496
Show Author Affiliations
C. Beleites, Dresden Univ. of Technology (Germany)
G. Steiner, Dresden Univ. of Technology (Germany)
S. Sobottka, Dresden Univ. of Technology (Germany)
G. Schackert, Dresden Univ. of Technology (Germany)
R. Salzer, Dresden Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 6078:
Photonic Therapeutics and Diagnostics II
Kenton W. Gregory; Nikiforos Kollias; Reza S. Malek; Michael D. Lucroy; Henry Hirschberg; Brian Jet-Fei Wong; Eugene A. Trowers; Werner T.W. de Riese; Justus F. R. Ilgner; Steen J. Madsen; Lloyd P. Tate; Haishan Zeng; Guillermo J. Tearney; Bernard Choi, Editor(s)

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