Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions
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2014
Authors
Jevtić, Dubravka R.Avramov-Ivić, Milka
Reljin, Irini S.
Reljin, Branimir D.
Plavec, Goran I.
Petrović, Slobodan
Mijin, Dušan
Article (Published version)
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Show full item recordAbstract
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 praxisSource:
Physica A-Statistical Mechanics and Its Applications, 2014, 403, 206-216Publisher:
- Elsevier, Amsterdam
Funding / projects:
- Study of the Synthesis, Structure and Activity of Natural and Synthetic Organic Compounds (RS-172013)
- Development of embedded systems with connected services and digital technology (RS-44009)
DOI: 10.1016/j.physa.2014.02.026
ISSN: 0378-4371
WoS: 000334085700022
Scopus: 2-s2.0-84897696030
Institution/Community
Tehnološko-metalurški fakultetTY - JOUR AU - Jevtić, Dubravka R. AU - Avramov-Ivić, Milka AU - Reljin, Irini S. AU - Reljin, Branimir D. AU - Plavec, Goran I. AU - Petrović, Slobodan AU - Mijin, Dušan PY - 2014 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2849 AB - 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. PB - Elsevier, Amsterdam T2 - Physica A-Statistical Mechanics and Its Applications T1 - Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions EP - 216 SP - 206 VL - 403 DO - 10.1016/j.physa.2014.02.026 ER -
@article{ author = "Jevtić, Dubravka R. and Avramov-Ivić, Milka and Reljin, Irini S. and Reljin, Branimir D. and Plavec, Goran I. and Petrović, Slobodan and Mijin, Dušan", year = "2014", 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.", publisher = "Elsevier, Amsterdam", journal = "Physica A-Statistical Mechanics and Its Applications", title = "Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions", pages = "216-206", volume = "403", doi = "10.1016/j.physa.2014.02.026" }
Jevtić, D. R., Avramov-Ivić, M., Reljin, I. S., Reljin, B. D., Plavec, G. I., Petrović, S.,& Mijin, D.. (2014). Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions. in Physica A-Statistical Mechanics and Its Applications Elsevier, Amsterdam., 403, 206-216. https://doi.org/10.1016/j.physa.2014.02.026
Jevtić DR, Avramov-Ivić M, Reljin IS, Reljin BD, Plavec GI, Petrović S, Mijin D. Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions. in Physica A-Statistical Mechanics and Its Applications. 2014;403:206-216. doi:10.1016/j.physa.2014.02.026 .
Jevtić, Dubravka R., Avramov-Ivić, Milka, Reljin, Irini S., Reljin, Branimir D., Plavec, Goran I., Petrović, Slobodan, Mijin, Dušan, "Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions" in Physica A-Statistical Mechanics and Its Applications, 403 (2014):206-216, https://doi.org/10.1016/j.physa.2014.02.026 . .