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* Department of Physics, Eastern Mediterranean University, Famagusta, Cyprus;
Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas;
Department of Head and Neck Surgery, The University of Texas M. D. Anderson Cancer Center, Houston, Texas; and
Department of Bioengineering, Rice University, Houston, Texas
Correspondence: Address reprint requests to Rebecca Richards-Kortum, Rice University, Dept. of Bioengineering, 6100 Main St., Houston, TX 77005. Tel.: 713-348-3823; Fax: 713-348-5877; E-mail: rkortum{at}rice.edu.
Development of epithelial precancer and cancer leads to well-documented molecular and structural changes in the epithelium. Recently, it has been recognized that stromal biology is also altered significantly with preinvasive disease. We used the finite-difference time-domain method, a popular technique in computational electromagnetics, to model light scattering from heterogeneous collagen fiber networks and to analyze how neoplastic changes alter stromal scattering properties. Three-dimensional optical images from the stroma of fresh normal and neoplastic oral-cavity biopsies were acquired using fluorescence confocal microscopy. These optical sections were then processed to create realistic three-dimensional collagen networks as model input. Image analysis revealed that the volume fraction of collagen fibers in the stroma decreases with precancer and cancer progression, and fibers tend to be shorter and more disconnected in neoplastic stroma. The finite-difference time-domain modeling results showed that neoplastic fiber networks have smaller scattering cross sections compared to normal networks. Computed scattering-phase functions indicate that high-angle scattering probabilities tend to be higher for neoplastic networks. These results provide valuable insight into the micro-optical properties of normal and neoplastic stroma. Characterization of optical signals obtained from epithelial tissues can aid in development of optical spectroscopic and imaging techniques for noninvasive monitoring of early neoplastic changes.
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I. Pavlova, M. Williams, A. El-Naggar, R. Richards-Kortum, and A. Gillenwater Understanding the Biological Basis of Autofluorescence Imaging for Oral Cancer Detection: High-Resolution Fluorescence Microscopy in Viable Tissue Clin. Cancer Res., April 15, 2008; 14(8): 2396 - 2404. [Abstract] [Full Text] [PDF] |
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