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Issue 14, 2011
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Effect of normal variations on disease classification of Raman spectra from cervical tissue

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Abstract

In this paper, we examine how variations in normal tissue can influence disease classification of Raman spectra. Raman spectra from normal areas may be affected by previous disease or proximity to areas of dysplasia. Spectra were acquired in vivo from 172 patients and classified into five tissue categories: true normal (no history of disease), previous disease normal (history of disease, current normal diagnosis), adjacent normal (disease on cervix, spectra acquired from visually normal area), low grade, and high grade. Taking into account the various “normal” states of the tissue before statistical analysis led to a disease classification accuracy of 97%. These results indicate that abnormal changes significantly affect Raman spectra, even when areas are histopathologically normal. The sensitivity of Raman spectroscopy to subtle biochemical differences must be considered in order to successfully implement it in a clinical setting for diagnosing cervical dysplasia and cancer.

Graphical abstract: Effect of normal variations on disease classification of Raman spectra from cervical tissue

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Publication details

The article was received on 20 Dec 2010, accepted on 04 May 2011 and first published on 13 Jun 2011


Article type: Paper
DOI: 10.1039/C0AN01020K
Citation: Analyst, 2011,136, 2981-2987
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    Effect of normal variations on disease classification of Raman spectra from cervical tissue

    E. Vargis, E. M. Kanter, S. K. Majumder, M. D. Keller, R. B. Beaven, G. G. Rao and A. Mahadevan-Jansen, Analyst, 2011, 136, 2981
    DOI: 10.1039/C0AN01020K

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