In vivo diagnosis of cervical precancer using high wavenumber Raman spectroscopy

Jianhua Mo; Wei Zheng; Jeffrey Low; Joseph Ng; A. Ilancheran

doi:10.1117/12.755265

18 January 2008 In vivo diagnosis of cervical precancer using high wavenumber Raman spectroscopy

Jianhua Mo, Wei Zheng, Jeffrey Low, Joseph Ng, A. Ilancheran

Proceedings Volume 6826, Optics in Health Care and Biomedical Optics III; 682611 (2008) https://doi.org/10.1117/12.755265
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

Near-infrared (NIR) Raman spectroscopy has shown promise to detect cancer and precancer in human through measuring the biomolecular and biochemical changes of tissue associated with diseases transformation. Most of studies of NIR Raman spectroscopy on tissue diagnosis are concentrated on the so-called fingerprint region (800-1800 cm^-1), there are only very limited work for tissue diagnosis using the high wavenumber (2800-3700 cm^-1) spectral features. The purpose of this study is to explore the ability of NIR Raman spectroscopy in high wavenumber region for the in vivo detection of cervical precancer. A rapid NIR Raman spectroscopy system associated with a fiber-optic Raman probe was used for the in vivo spectroscopic measurements. Multivariate statistical techniques including principal components analysis (PCA) and linear discriminant analysis (LDA) were employed to develop the diagnostic algorithm based on the spectral data from 2800-3700 cm^-1. Classification result based on PCA-LDA showed that high wavenumber NIR Raman spectroscopy can achieve the diagnostic sensitivity of 93.5% and specificity of 95.7% for precancer classification.

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Jianhua Mo, Wei Zheng, Jeffrey Low, Joseph Ng, and A. Ilancheran "In vivo diagnosis of cervical precancer using high wavenumber Raman spectroscopy", Proc. SPIE 6826, Optics in Health Care and Biomedical Optics III, 682611 (18 January 2008); https://doi.org/10.1117/12.755265

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KEYWORDS

Raman spectroscopy

Near infrared

In vivo imaging

Tissue optics

Spectroscopy

Cancer

Cervix

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