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https://doi.org/10.1016/j.bios.2012.02.050
Title: | Optical diagnosis of laryngeal cancer using high wavenumber Raman spectroscopy | Authors: | Lin, K. Cheng, D.L.P. Huang, Z. |
Keywords: | High wavenumber Raman spectroscopy Laryngeal cancer Optical diagnosis |
Issue Date: | 15-May-2012 | Citation: | Lin, K., Cheng, D.L.P., Huang, Z. (2012-05-15). Optical diagnosis of laryngeal cancer using high wavenumber Raman spectroscopy. Biosensors and Bioelectronics 35 (1) : 213-217. ScholarBank@NUS Repository. https://doi.org/10.1016/j.bios.2012.02.050 | Abstract: | We report the implementation of the transnasal image-guided high wavenumber (HW) Raman spectroscopy to differentiate tumor from normal laryngeal tissue at endoscopy. A rapid-acquisition Raman spectroscopy system coupled with a miniaturized fiber-optic Raman probe was utilized to realize real-time HW Raman (2800-3020cm -1) measurements in the larynx. A total of 94 HW Raman spectra (22 normal sites, 72 tumor sites) were acquired from 39 patients who underwent laryngoscopic screening. Significant differences in Raman intensities of prominent Raman bands at 2845, 2880 and 2920cm -1 (CH 2 stretching of lipids), and 2940cm -1 (CH 3 stretching of proteins) were observed between normal and cancer laryngeal tissue. The diagnostic algorithms based on principal components analysis (PCA) and linear discriminant analysis (LDA) together with the leave-one subject-out, cross-validation method on HW Raman spectra yielded a diagnostic sensitivity of 90.3% (65/72) and specificity of 90.9% (20/22) for laryngeal cancer identification. This study demonstrates that HW Raman spectroscopy has the potential for the noninvasive, real-time diagnosis and detection of laryngeal cancer at the molecular level. © 2012 Elsevier B.V. | Source Title: | Biosensors and Bioelectronics | URI: | http://scholarbank.nus.edu.sg/handle/10635/88005 | ISSN: | 09565663 | DOI: | 10.1016/j.bios.2012.02.050 |
Appears in Collections: | Staff Publications |
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