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Pregled bibliografske jedinice broj: 542324

Prediction of ovarian tumor malignancy


Soljačić Vraneš, Hrvojka; Klarić, Petar; Sonicki, Zdenko; Gall, Vesna; Jukić, Marija; Vuković, Ante
Prediction of ovarian tumor malignancy // Collegium Antropologicum, 35 (2011), 3; 775-779 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 542324 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Prediction of ovarian tumor malignancy

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

Izvornik
Collegium Antropologicum (0350-6134) 35 (2011), 3; 775-779

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ovarian cancer; prediction; malignancy; scoring system; decision rules

Sažetak
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 significant difference in the presence of an ultrasound and vascular markers between benign and malignant ovary changes along with the significantly 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 significant 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.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
108-0982560-0257 - Prediktivni modeli u zdravstvu (Sonicki, Zdenko, MZOS ) ( POIROT)

Ustanove:
Medicinski fakultet, Zagreb

Citiraj ovu publikaciju

Soljačić Vraneš, Hrvojka; Klarić, Petar; Sonicki, Zdenko; Gall, Vesna; Jukić, Marija; Vuković, Ante
Prediction of ovarian tumor malignancy // Collegium Antropologicum, 35 (2011), 3; 775-779 (međunarodna recenzija, članak, znanstveni)
Soljačić Vraneš, H., Klarić, P., Sonicki, Z., Gall, V., Jukić, M. & Vuković, A. (2011) Prediction of ovarian tumor malignancy. Collegium Antropologicum, 35 (3), 775-779.
@article{article, year = {2011}, pages = {775-779}, keywords = {ovarian cancer, prediction, malignancy, scoring system, decision rules}, journal = {Collegium Antropologicum}, volume = {35}, number = {3}, issn = {0350-6134}, title = {Prediction of ovarian tumor malignancy}, keyword = {ovarian cancer, prediction, malignancy, scoring system, decision rules} }
@article{article, year = {2011}, pages = {775-779}, keywords = {ovarian cancer, prediction, malignancy, scoring system, decision rules}, journal = {Collegium Antropologicum}, volume = {35}, number = {3}, issn = {0350-6134}, title = {Prediction of ovarian tumor malignancy}, keyword = {ovarian cancer, prediction, malignancy, scoring system, decision rules} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE





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