In vivo Raman spectroscopy for oral cancers diagnosis

S. P. Singh; Atul Deshmukh; Pankaj Chaturvedi; C. Murali Krishna

doi:10.1117/12.905453

31 January 2012 In vivo Raman spectroscopy for oral cancers diagnosis

S. P. Singh, Atul Deshmukh, Pankaj Chaturvedi, C. Murali Krishna

Proceedings Volume 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry; 82190K (2012) https://doi.org/10.1117/12.905453
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

Oral squamous cell carcinoma is sixth among the major malignancies worldwide. Tobacco habits are known as major causative factor in tumor carcinogenesis in oral cancer. Optical spectroscopy methods, including Raman, are being actively pursued as alternative/adjunct for cancer diagnosis. Earlier studies have demonstrated the feasibility of classifying normal, premalignant and malignant oral ex-vivo tissues. In the present study we have recorded in vivo spectra from contralateral normal and diseased sites of 50 subjects with pathologically confirmed lesions of buccal mucosa using fiber-optic-probe-coupled HE-785 Raman spectrometer. Spectra were recorded on similar points as per teeth positions with an average acquisition time of 8 seconds. A total of 215 and 225 spectra from normal and tumor sites, respectively, were recorded. Finger print region (1200-1800 cm^-1) was utilized for classification using LDA. Standard-model was developed using 125 normal and 139 tumor spectra from 27 subjects. Two separate clusters with an efficiency of ~95% were obtained. Cross-validation with leave-one-out yielded ~90% efficiency. Remaining 90 normal and 86 tumor spectra were used as test data and predication efficiency of model was evaluated. Findings of the study indicate that Raman spectroscopic methods in combination with appropriate multivariate tool can be used for objective, noninvasive and rapid diagnosis.

Citation Download Citation

S. P. Singh, Atul Deshmukh, Pankaj Chaturvedi, and C. Murali Krishna "In vivo Raman spectroscopy for oral cancers diagnosis", Proc. SPIE 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry, 82190K (31 January 2012); https://doi.org/10.1117/12.905453

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