Discrimination of premalignant conditions of oral cancer using Raman spectroscopy of urinary metabolites

Brindha Elumalai; Ramu Rajasekaran; Prakasarao Aruna; Dornadula Koteeswaran; Singaravelu Ganesan

doi:10.1117/12.2078029

5 March 2015 Discrimination of premalignant conditions of oral cancer using Raman spectroscopy of urinary metabolites

Brindha Elumalai, Ramu Rajasekaran, Prakasarao Aruna, Dornadula Koteeswaran, Singaravelu Ganesan

Proceedings Volume 9318, Optical Biopsy XIII: Toward Real-Time Spectroscopic Imaging and Diagnosis; 93180J (2015) https://doi.org/10.1117/12.2078029
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

Oral cancers are considered to be one of the most commonly occurring malignancy worldwide. Over 70% of the cases report to the doctor only in advanced stages of the disease, resulting in poor survival rates. Hence it is necessary to detect the disease at the earliest which may increase the five year survival rate up to 90%. Among various optical spectroscopic techniques, Raman spectroscopy has been emerged as a tool in identifying several diseased conditions, including oral cancers. Around 30 - 80% of the malignancies of the oral cavity arise from premalignant lesions. Hence, understanding the molecular/spectral differences at the premalignant stage may help in identifying the cancer at the earliest and increase patient’s survival rate. Among various bio-fluids such as blood, urine and saliva, urine is considered as one of the diagnostically potential bio-fluids, as it has many metabolites. The distribution and the physiochemical properties of the urinary metabolites may vary due to the changes associated with the pathologic conditions. The present study is aimed to characterize the urine of 70 healthy subjects and 51 pre-malignant patients using Raman spectroscopy under 785nm excitation, to know the molecular/spectral differences between healthy subjects and premalignant conditions of oral malignancy. Principal component analysis based Linear discriminant analysis were also made to find the statistical significance and the present technique yields the sensitivity and specificity of 86.3% and 92.9% with an overall accuracy of 90.9% in the discrimination of premalignant conditions from healthy subjects urine.

Citation Download Citation

Brindha Elumalai, Ramu Rajasekaran, Prakasarao Aruna, Dornadula Koteeswaran, and Singaravelu Ganesan "Discrimination of premalignant conditions of oral cancer using Raman spectroscopy of urinary metabolites", Proc. SPIE 9318, Optical Biopsy XIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 93180J (5 March 2015); https://doi.org/10.1117/12.2078029

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KEYWORDS

Raman spectroscopy

Cancer

Spectroscopy

Ovarian cancer

Urea

Diagnostics

Principal component analysis

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