TY - JOUR
T1 - Fluorescence spectroscopy of oral tissue
T2 - Monte Carlo modeling with site-specific tissue properties
AU - Pavlova, Ina
AU - Weber, Crystal Redden
AU - Schwarz, Richard A.
AU - Williams, Michelle D.
AU - Gillenwater, Ann M.
AU - Richards-Kortum, Rebecca
N1 - Funding Information:
The authors thank Adel K. El-Naggar for providing pathology diagnoses, and Bimal Patel and Erica M. Smith for performing clinical measurements. The authors gratefully acknowledge support from National Institutes of Health grant R01 CA095604.
PY - 2009
Y1 - 2009
N2 - A Monte Carlo model with site-specific input is used to predict depth-resolved fluorescence spectra from individual normal, inflammatory, and neoplastic oral sites. Our goal in developing this model is to provide a computational tool to study how the morphological characteristics of the tissue affect clinically measured spectra. Tissue samples from the measured sites are imaged using fluorescence confocal microscopy; autofluorescence patterns are measured as a function of depth and tissue sublayer for each individual site. These fluorescence distributions are used as input to the Monte Carlo model to generate predictions of fluorescence spectra, which are compared to clinically measured spectra on a site-by-site basis. A lower fluorescence intensity and longer peak emission wavelength observed in clinical spectra from dysplastic and cancerous sites are found to be associated with a decrease in measured fluorescence originating from the stroma or deeper fibrous regions, and an increase in the measured fraction of photons originating from the epithelium or superficial tissue layers. The simulation approach described here can be used to suggest an optical probe design that samples fluorescence at a depth that gives optimal separation in the spectral signal measured for benign, dysplastic, and cancerous oral mucosa.
AB - A Monte Carlo model with site-specific input is used to predict depth-resolved fluorescence spectra from individual normal, inflammatory, and neoplastic oral sites. Our goal in developing this model is to provide a computational tool to study how the morphological characteristics of the tissue affect clinically measured spectra. Tissue samples from the measured sites are imaged using fluorescence confocal microscopy; autofluorescence patterns are measured as a function of depth and tissue sublayer for each individual site. These fluorescence distributions are used as input to the Monte Carlo model to generate predictions of fluorescence spectra, which are compared to clinically measured spectra on a site-by-site basis. A lower fluorescence intensity and longer peak emission wavelength observed in clinical spectra from dysplastic and cancerous sites are found to be associated with a decrease in measured fluorescence originating from the stroma or deeper fibrous regions, and an increase in the measured fraction of photons originating from the epithelium or superficial tissue layers. The simulation approach described here can be used to suggest an optical probe design that samples fluorescence at a depth that gives optimal separation in the spectral signal measured for benign, dysplastic, and cancerous oral mucosa.
KW - Biomedical optics
KW - Fluorescence spectroscopy
KW - Spectroscopy
KW - Tissues
UR - http://www.scopus.com/inward/record.url?scp=58449131002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58449131002&partnerID=8YFLogxK
U2 - 10.1117/1.3065544
DO - 10.1117/1.3065544
M3 - Article
C2 - 19256697
AN - SCOPUS:58449131002
SN - 1083-3668
VL - 14
JO - Journal of biomedical optics
JF - Journal of biomedical optics
IS - 1
M1 - 014009
ER -