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Title: |
Anatomy-Based Algorithms for Detecting Oral Cancer Using
Reflectance and Fluorescence Spectroscopy |
| Authors: |
Sasha McGee, PhD; Vartan Mardirossian, MD; Alphi Elackattu, MD;
Jelena Mirkovic, PhD; Robert Pistey, MD, MA; George Gallagher, DMD, DMSc;
Sadru Kabani, DMD, MA; Chung-Chieh Yu, PhD; Zimmern Wang, MD;
Kamran Badizadegan, MD; Gregory Grillone, MD; Michael S. Feld, PhD |
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Objectives: We used reflectance and fluorescence spectroscopy to noninvasively and quantitatively distinguish benign
from dysplastic/malignant oral lesions. We designed diagnostic algorithms to account for differences in the spectral properties
among anatomic sites (gingiva, buccal mucosa, etc).
Methods: In vivo reflectance and fluorescence spectra were collected from 71 patients with oral lesions. The tissue was
then biopsied and the specimen evaluated by histopathology. Quantitative parameters related to tissue morphology and
biochemistry were extracted from the spectra. Diagnostic algorithms specific for combinations of sites with similar spectral
properties were developed.
Results: Discrimination of benign from dysplastic/malignant lesions was most successful when algorithms were designed
for individual sites (area under the receiver operator characteristic curve [ROC-AUC], 0.75 for the lateral surface
of the tongue) and was least accurate when all sites were combined (ROC-AUC, 0.60). The combination of sites with
similar spectral properties (floor of mouth and lateral surface of the tongue) yielded an ROC-AUC of 0.71.
Conclusions: Accurate spectroscopic detection of oral disease must account for spectral variations among anatomic sites.
Anatomy-based algorithms for single sites or combinations of sites demonstrated good diagnostic performance in distinguishing
benign lesions from dysplastic/malignant lesions and consistently performed better than algorithms developed
for all sites combined. (Ann Otol Rhinol Laryngol 2009;118:817-826.) |
| Keywords: |
diagnosis, fluorescence, oral cancer, reflectance, spectroscopy |
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