Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions

Dubravka R. Jevtić, Milka L. Avramov Ivić, Irini S. Reljin, Branimir D. Reljin, Goran I. Plavec, Slobodan D. Petrović and Dušan Ž. Mijin

Physica A: Statistical Mechanics and its Applications, 2014, vol. 403, issue C, 206-216

Abstract: The automated, computer-aided method for differentiation and classification of malignant (M) from benign (B) cases, by analyzing the UV/VIS spectra of pleural effusions is described. It was shown that by two independent objective features, the maximum of Katz fractal dimension (KFDmax) and the area under normalized UV/VIS absorbance curve (Area), highly reliable M–B classification is possible. In the Area–KFDmax space M and B samples are linearly separable permitting thus the use of linear support vector machine as a classification tool. By analyzing 104 samples of UV/VIS spectra of pleural effusions (88 M and 16 B) collected from patients at the Clinic for Lung Diseases and Tuberculosis, Military Medical Academy in Belgrade, the accuracy of 95.45% for M cases and 100% for B cases are obtained by using the proposed method. It was shown that by applying some modifications, which are suggested in the paper, the accuracy of 100% for M cases can be reached.

Keywords: Pleural effusions; Malignancy; Katz fractal dimension; UV/VIS diagnostic method; Clinical praxis (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:403:y:2014:i:c:p:206-216

DOI: 10.1016/j.physa.2014.02.026

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