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Publication Type : Journal Article
Publisher : Lasers in Medical Science
Source : Lasers in Medical Science, Volume 31, Number 1, p.67–75 (2016)
Url : http://dx.doi.org/10.1007/s10103-015-1829-z
Campus : Amritapuri
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electronics and Communication
Year : 2016
Abstract : Diffuse reflectance (DR) spectroscopy is a non-invasive, real-time, and cost-effective tool for early detection of malignant changes in squamous epithelial tissues. The present study aims to evaluate the diagnostic power of diffuse reflectance spectroscopy for non-invasive discrimination of cervical lesions in vivo. A clinical trial was carried out on 48 sites in 34 patients by recording DR spectra using a point-monitoring device with white light illumination. The acquired data were analyzed and classified using multivariate statistical analysis based on principal component analysis (PCA) and linear discriminant analysis (LDA). Diagnostic accuracies were validated using random number generators. The receiver operating characteristic (ROC) curves were plotted for evaluating the discriminating power of the proposed statistical technique. An algorithm was developed and used to classify non-diseased (normal) from diseased sites (abnormal) with a sensitivity of 72nbsp;{%} and specificity of 87nbsp;{%}. While low-grade squamous intraepithelial lesion (LSIL) could be discriminated from normal with a sensitivity of 56nbsp;{%} and specificity of 80nbsp;{%}, and high-grade squamous intraepithelial lesion (HSIL) from normal with a sensitivity of 89nbsp;{%} and specificity of 97nbsp;{%}, LSIL could be discriminated from HSIL with 100nbsp;{%} sensitivity and specificity. The areas under the ROC curves were 0.993 (95nbsp;{%} confidence interval (CI) 0.0 to 1) and 1 (95nbsp;{%} CI 1) for the discrimination of HSIL from normal and HSIL from LSIL, respectively. The results of the study show that DR spectroscopy could be used along with multivariate analytical techniques as a non-invasive technique to monitor cervical disease status in real time.
Cite this Research Publication :
V. Gopala Prabitha, Suchetha, S., Jayanthi, J. Lalitha, Baiju, K. Vijayakuma, Rema, P., Anuraj K., Mathews, A., Sebastian, P., and Subhash, N., “Detection of cervical lesions by multivariate analysis of diffuse reflectance spectra: a clinical study”, Lasers in Medical Science, vol. 31, pp. 67–75, 2016