Research Papers

In vivo assessment and evaluation of lung tissue morphologic and physiological changes from non-contact endoscopic reflectance spectroscopy for improving lung cancer detection

[+] Author Affiliations
Yasser S. Fawzy, Mirjan Petek

Perceptronix Medical Inc., Suite 400, 555 West 8th Avenue, Vancouver, British Columbia V5Z 1C6, Canada

Marjeta Tercelj

University of Ljubljana Medical Hospital Clinical Centre, Centre for Respiratory Diseases, Zaloska 7, 1000 Ljubljana, Slovenia

Haishan Zeng

BC Cancer Agency, Cancer Imaging Department, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada

J. Biomed. Opt. 11(4), 044003 (August 25, 2006). doi:10.1117/1.2337529
History: Received July 15, 2005; Revised February 15, 2006; Accepted April 04, 2006; Published August 25, 2006; Online August 25, 2006
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We present a method for lung cancer detection exploiting reflectance spectra measured in vivo during endoscopic imaging of the lung. The measured reflectance spectra were analyzed using a specially developed light-transport model to obtain quantitative information about cancer-related, physiological, and morphologic changes in the superficial bronchial mucosa layers. The light-transport model allowed us to obtain the absorption coefficient (μa) and further to derive the micro-vascular blood volume fraction in tissue and the tissue blood oxygen saturation. The model also allowed us to obtain the scattering coefficient (μs) and the anisotropy coefficient (g) and further to derive the tissue scattering micro-particle volume fraction and size distribution. The specular component of the reflectance signal and the instrument response were accounted for during the analysis. The method was validated using 100 reflectance spectra measured in vivo in a noncontact fashion from 22 lung patients (50 normal tissue/benign lesion sites and 50 malignant lesion sites). The classification between normal tissue/benign lesions and malignant lesions was further investigated using the derived quantitative parameters and discriminant function analysis. The results demonstrated significant differences between the normal tissue/benign lesions and the malignant lesions in terms of tissue blood volume fraction, blood oxygen saturation, tissue scatterer volume fractions, and size distribution. The results also showed that the malignant lung lesions can be differentiated from normal tissue/benign lesions with both diagnostic sensitivity and specificity of better than 80%.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Yasser S. Fawzy ; Mirjan Petek ; Marjeta Tercelj and Haishan Zeng
"In vivo assessment and evaluation of lung tissue morphologic and physiological changes from non-contact endoscopic reflectance spectroscopy for improving lung cancer detection", J. Biomed. Opt. 11(4), 044003 (August 25, 2006). ; http://dx.doi.org/10.1117/1.2337529


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