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Journal of Biomedical Optics • Open Access

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy
Author(s): Diana C. G. de Veld; Marina Skurichina; Max J.H. Witjes; Robert P. W. Duin; Henricus J.C.M. Sterenborg; Jan L.N. Roodenburg

Paper Abstract

Autofluorescence spectroscopy shows promising results for detection and staging of oral (pre-)malignancies. To improve staging reliability, we develop and compare algorithms for lesion classification. Furthermore, we examine the potential for detecting invisible tissue alterations. Autofluorescence spectra are recorded at six excitation wavelengths from 172 benign, dysplastic, and cancerous lesions and from 97 healthy volunteers. We apply principal components analysis (PCA), artificial neural networks, and red/green intensity ratio's to separate benign from (pre-)malignant lesions, using four normalization techniques. To assess the potential for detecting invisible tissue alterations, we compare PC scores of healthy mucosa and surroundings/contralateral positions of lesions. The spectra show large variations in shape and intensity within each lesion group. Intensities and PC score distributions demonstrate large overlap between benign and (pre-)malignant lesions. The receiver-operator characteristic areas under the curve (ROC-AUCs) for distinguishing cancerous from healthy tissue are excellent (0.90 to 0.97). However, the ROC-AUCs are too low for classification of benign versus (pre-)malignant mucosa for all methods (0.50 to 0.70). Some statistically significant differences between surrounding/contralateral tissues of benign and healthy tissue and of (pre-)malignant lesions are observed. We can successfully separate healthy mucosa from cancers (ROC-AUC>0.9). However, autofluorescence spectroscopy is not able to distinguish benign from visible (pre-)malignant lesions using our methods (ROC-AUC<0.65). The observed significant differences between healthy tissue and surroundings/contralateral positions of lesions might be useful for invisible tissue alteration detection.

Paper Details

Date Published: 1 September 2004
PDF: 11 pages
J. Biomed. Opt. 9(5) doi: 10.1117/1.1782611
Published in: Journal of Biomedical Optics Volume 9, Issue 5
Show Author Affiliations
Diana C. G. de Veld, Univ. Hospital Groningen (Netherlands)
Marina Skurichina, Technische Univ. Delft (Netherlands)
Max J.H. Witjes, Academisch Ziekenhuis Groningen (Netherlands)
Robert P. W. Duin, Technische Univ. Delft (Netherlands)
Henricus J.C.M. Sterenborg, Erasmus MC Univ. Medisch Centrum Rotterdam (Netherlands)
Jan L.N. Roodenburg, Univ. Hospital Groningen (Netherlands)

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