Sensitivity of Raman spectroscopy to normal patient variability.

Vargis E, Byrd T, Logan Q, Khabele D, Mahadevan-Jansen A
J Biomed Opt. 2011 16 (11): 117004

PMID: 22112136 · PMCID: PMC3221719 · DOI:10.1117/1.3646210

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.

MeSH Terms (14)

Adult Algorithms Body Mass Index Continental Population Groups Female Humans Logistic Models Models, Statistical Parity Reproducibility of Results Socioeconomic Factors Spectrum Analysis, Raman Uterine Cervical Dysplasia Vaginal Smears

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