Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions
Authorized Users Only
2014
Authors
Jevtic, Dubravka R.Avramov Ivić, Milka

Reljin, Irini S.
Reljin, Branimir D.
Plavec, Goran I.
Petrović, Slobodan D.
Mijin, Dušan

Article (Published version)

Metadata
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
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
Collections
Institution/Community
IHTMTY - JOUR AU - Jevtic, Dubravka R. AU - Avramov Ivić, Milka AU - Reljin, Irini S. AU - Reljin, Branimir D. AU - Plavec, Goran I. AU - Petrović, Slobodan D. AU - Mijin, Dušan PY - 2014 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/1516 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 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 VL - 403 SP - 206 EP - 216 DO - 10.1016/j.physa.2014.02.026 ER -
@article{ author = "Jevtic, Dubravka R. and Avramov Ivić, Milka and Reljin, Irini S. and Reljin, Branimir D. and Plavec, Goran I. and Petrović, Slobodan D. 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", 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", volume = "403", pages = "206-216", doi = "10.1016/j.physa.2014.02.026" }
Jevtic, D. R., Avramov Ivić, M., Reljin, I. S., Reljin, B. D., Plavec, G. I., Petrović, S. D.,& 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., 403, 206-216. https://doi.org/10.1016/j.physa.2014.02.026
Jevtic DR, Avramov Ivić M, Reljin IS, Reljin BD, Plavec GI, Petrović SD, 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 .
Jevtic, Dubravka R., Avramov Ivić, Milka, Reljin, Irini S., Reljin, Branimir D., Plavec, Goran I., Petrović, Slobodan D., 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 . .