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Journal of Biomedical Optics • Open Access

Sensitivity of Raman spectroscopy to normal patient variability
Author(s): Elizabeth Vargis; Anita Mahadevan-Jansen; Teresa Byrd; Quinisha Logan; Dineo Khabele

Paper Abstract

Many groups have used Raman spectroscopy for diagnosing cervical dysplasia; however, there have been few studies looking at the effect of normal physiological variations on Raman spectra. We assess four patient variables that may affect normal Raman spectra: Race/ethnicity, body mass index (BMI), parity, and socioeconomic status. Raman spectra were acquired from a diverse population of 75 patients undergoing routine screening for cervical dysplasia. Classification of Raman spectra from patients with a normal cervix is performed using sparse multinomial logistic regression (SMLR) to determine if any of these variables has a significant effect. Results suggest that BMI and parity have the greatest impact, whereas race/ethnicity and socioeconomic status have a limited effect. Incorporating BMI and obstetric history into classification algorithms may increase sensitivity and specificity rates of disease classification using Raman spectroscopy. Studies are underway to assess the effect of these variables on disease.

Paper Details

Date Published: 1 November 2011
PDF: 10 pages
J. Biomed. Opt. 16(11) 117004 doi: 10.1117/1.3646210
Published in: Journal of Biomedical Optics Volume 16, Issue 11
Show Author Affiliations
Elizabeth Vargis, Vanderbilt Univ. (United States)
Anita Mahadevan-Jansen, Vanderbilt Univ. (United States)
Teresa Byrd, Meharry Medical College (United States)
Quinisha Logan, Meharry Medical College (United States)
Dineo Khabele, Vanderbilt Univ. (United States)

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