Correlation of metabolites in saliva and in vivo tissue of oral cancer patients based on fluorescence spectral deconvolution

Raja Pappu; Yuvaraj Manoharan; Einstein Gnanatheepam; Sangeetha Ramamoorthy; Prakasarao Aruna; Jayachandran Sadaksharam; Singaravelu Ganesan

doi:10.1117/12.2545662

21 February 2020 Correlation of metabolites in saliva and in vivo tissue of oral cancer patients based on fluorescence spectral deconvolution

Raja Pappu, Yuvaraj Manoharan, Einstein Gnanatheepam, Sangeetha Ramamoorthy, Prakasarao Aruna, Jayachandran Sadaksharam, Singaravelu Ganesan

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Proceedings Volume 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis; 112341D (2020) https://doi.org/10.1117/12.2545662
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

In vivo Native Fluorescence spectroscopic characterization of oral tissue and saliva of same group of normal, and patients with oral squamous cell carcinoma conditions were studied at 350 nm excitation. The measured fluorescence emission spectra exhibit broad emission with peaks due to NADH, FAD and Porphyrin. To resolve the emission from individual fluorophores, the measured fluorescence spectra were subjected to spectral deconvolution. Further, the variations in relative distribution, peak shifts and spectral broadening were analyzed with respect to the fluorophores, NADH, FAD, and porphyrin. The changes in the above photophysical characteristics of various native fluorophores between normal and cancer group in both tissue and saliva confirms that there is a significant molecular level changes during the transformation of normal into cancer. The extracted spectral signatures of tissues and saliva were also subjected to linear discriminant analysis and the diagnostic accuracy between tissue and saliva were compared.

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Raja Pappu, Yuvaraj Manoharan, Einstein Gnanatheepam, Sangeetha Ramamoorthy, Prakasarao Aruna, Jayachandran Sadaksharam, and Singaravelu Ganesan "Correlation of metabolites in saliva and in vivo tissue of oral cancer patients based on fluorescence spectral deconvolution", Proc. SPIE 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 112341D (21 February 2020); https://doi.org/10.1117/12.2545662

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