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Journal of Biomedical Optics

Model-based spectroscopic analysis of the oral cavity: impact of anatomy
Author(s): Sasha McGee; Jelena Mirkovic; Vartan Mardirossian; Alphi Elackattu; Chung-Chieh Yu; Sadru Kabani; George Gallagher; Robert W. Pistey; Luis H. Galindo; Kamran Badizadegan; Zhi Wang; Ramachandra Rao Dasari; Michael S. Feld; Gregory A. Grillone
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Paper Abstract

In order to evaluate the impact of anatomy on the spectral properties of oral tissue, we used reflectance and fluorescence spectroscopy to characterize nine different anatomic sites. All spectra were collected in vivo from healthy oral mucosa. We analyzed 710 spectra collected from the oral cavity of 79 healthy volunteers. From the spectra, we extracted spectral parameters related to the morphological and biochemical properties of the tissue. The parameter distributions for the nine sites were compared, and we also related the parameters to the physical properties of the tissue site. k-Means cluster analysis was performed to identify sites or groups of sites that showed similar or distinct spectral properties. For the majority of the spectral parameters, certain sites or groups of sites exhibited distinct parameter distributions. Sites that are normally keratinized, most notably the hard palate and gingiva, were distinct from nonkeratinized sites for a number of parameters and frequently clustered together. The considerable degree of spectral contrast (differences in the spectral properties) between anatomic sites was also demonstrated by successfully discriminating between several pairs of sites using only two spectral parameters. We tested whether the 95% confidence interval for the distribution for each parameter, extracted from a subset of the tissue data could correctly characterize a second set of validation data. Excellent classification accuracy was demonstrated. Our results reveal that intrinsic differences in the anatomy of the oral cavity produce significant spectral contrasts between various sites, as reflected in the extracted spectral parameters. This work provides an important foundation for guiding the development of spectroscopic-based diagnostic algorithms for oral cancer.

Paper Details

Date Published: 1 November 2008
PDF: 15 pages
J. Biomed. Opt. 13(6) 064034 doi: 10.1117/1.2992139
Published in: Journal of Biomedical Optics Volume 13, Issue 6
Show Author Affiliations
Sasha McGee, Massachusetts Institute of Technology (United States)
Jelena Mirkovic, Massachusetts Institute of Technology (United States)
Vartan Mardirossian, Boston Medical Ctr. (United States)
Alphi Elackattu, Boston Medical Ctr. (United States)
Chung-Chieh Yu, Massachusetts Institute of Technology (United States)
Sadru Kabani, Boston Univ. Goldman School of Dental Medicine (United States)
George Gallagher, Boston Univ. Goldman School of Dental Medicine (United States)
Robert W. Pistey, Boston Medical Ctr. (United States)
Luis H. Galindo, Massachusetts Institute of Technology (United States)
Kamran Badizadegan, Massachusetts Institute of Technology (United States)
Zhi Wang, Boston Medical Ctr. (United States)
Ramachandra Rao Dasari
Michael S. Feld
Gregory A. Grillone, Boston Medical Ctr. (United States)

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