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Year:
2013
| Volume: 21
| Issue: 3-4
| Pages: 97-100
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Article |
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EPIDEMIOLOGICAL DATA OF OVARIAN CANCER IN VOJVODINA AND SOUTH GREAT PLAIN REGION IN HUNGARY IN 2007-2012 PERIOD: CROSSBIOMARK IPA PROJECT HUSRB/1203/214/091
Aljoša Mandic, László Thurzó, Dejan Nincic, Milica Živaljevic, Tihomir Dugandžija, Róbert Berkecz |
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DOI:
https://doi.org/10.2298/AOO1304097M |
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Abstract: |
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Background: Ovarian cancer is among the sixth leading cancers in Vojvodina and the fifth leading cause of cancer
death among female population in Vojvodina according to Cancer Registry of Vojvodina in 2010. The majority of ovarian
cancers cases are diagnosed at an advanced stage, FIGO stage III-IV with poor prognosis. The aim of the study
was to evaluate newly diagnosed ovarian cancer among female population in Vojvodina (Serbia) and South Great Plain
region in Hungary in 2007- 2012 period.
Methods: The evaluation was based on the data from hospital registries for malignant diseases at the Oncology Institute
of Vojvodina and the Department of Oncotherapy, University of Szeged.
Results: The majority of patients were diagnosed in advanced disease (FIGO stage III-IV) in both regions. Serous epithelial
ovarian cancer was the most common cancer type among studied women in both regions. The average age of
women diagnosed with ovarian cancer was 60 years; there was no significant statistical difference related to patients’
age in both studied regions. Advanced stage of ovarian cancer investigated in our study showed a moderate descending
liner trend with no significant statistical difference. The results from our study were similar when compared with
the epidemiological data from the literature.
Conclusion: The lack of efficient screening methods is the major obstacle to improve the prognosis of women affected
by this disease. Further investigations and introduction of new technologies applied to medical discoveries offers new
hope for finding effective screening policies. |
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Key words:
Ovarian Neoplasm; Epidemiology; Neoplasm Staging; Serbia; Hungary |
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