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Prediction of Ovarian Tumor Malignancy

Hrvojka Soljačić Vraneš
Petar Klarić
Zdenko Sonicki
Vesna Gall
Marija Jukić
Ante Vuković

Puni tekst: engleski, pdf (69 KB) str. 775-779 preuzimanja: 651* citiraj
APA 6th Edition
Soljačić Vraneš, H., Klarić, P., Sonicki, Z., Gall, V., Jukić, M. i Vuković, A. (2011). Prediction of Ovarian Tumor Malignancy. Collegium antropologicum, 35 (3), 775-779. Preuzeto s
MLA 8th Edition
Soljačić Vraneš, Hrvojka, et al. "Prediction of Ovarian Tumor Malignancy." Collegium antropologicum, vol. 35, br. 3, 2011, str. 775-779. Citirano 16.10.2021.
Chicago 17th Edition
Soljačić Vraneš, Hrvojka, Petar Klarić, Zdenko Sonicki, Vesna Gall, Marija Jukić i Ante Vuković. "Prediction of Ovarian Tumor Malignancy." Collegium antropologicum 35, br. 3 (2011): 775-779.
Soljačić Vraneš, H., et al. (2011). 'Prediction of Ovarian Tumor Malignancy', Collegium antropologicum, 35(3), str. 775-779. Preuzeto s: (Datum pristupa: 16.10.2021.)
Soljačić Vraneš H, Klarić P, Sonicki Z, Gall V, Jukić M, Vuković A. Prediction of Ovarian Tumor Malignancy. Collegium antropologicum [Internet]. 2011 [pristupljeno 16.10.2021.];35(3):775-779. Dostupno na:
H. Soljačić Vraneš, P. Klarić, Z. Sonicki, V. Gall, M. Jukić i A. Vuković, "Prediction of Ovarian Tumor Malignancy", Collegium antropologicum, vol.35, br. 3, str. 775-779, 2011. [Online]. Dostupno na: [Citirano: 16.10.2021.]

Ovarian cancer is the leading cause of mortality among gynecological cancers. The aim of the study was to form the
decision rules for distinguishing benign from malignant ovary lesions. The research was conducted on 201 women with
ovary tumor. Commonly used specific markers for ovarian cancer (biochemical marker Ca 125, ultrasound and vascular
markers) were used. The signifficant differenece in the presence of an ultrasound and vascular markers between benign
and malignant ovary changes along with the signifficantly different level of Ca 125 is confirmed. To a specific marker
certain score number was appointed and the scoring system was formed. The incidence of benign/malignant ovary changes
was observed in the researched group regarding anthropometric parameters (age, marital and menopausal status
and number of deliveries). There is also signifficant difference in the incidence of benign/malignant ovary tumor regarding
these parameters. Based on combination of the scoring system and anthropometric parameters the decision rules for
distinguishing benign from malignant ovary tumors were formed. The logistic regression method was used. We proved
that this method has higher accuracy in prediction of malignancy in women with ovary tumors than using morphological,
doppler or anthropometric parameters separately.

Hrčak ID: 72171


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