Background: Borderline ovarian tumours (BOT) are an intermediate form of neoplasia, between benign and malignant and have been classified as epithelial tumours of low malignant potential. These particular tumours affect a younger age group than their invasive counterparts with an overall survival of 90 - 100%. The present study aims to document the experience of a single centre on the management of women with borderline ovarian tumours (BOT). Methods: Two hundred and thirteen patients diagnosed and treated with BOT between 1984 and 2008 were identified through the Gynaecology Oncology database that has been in existence since 1984. Details of management, outcome and survival were retrieved and data were analysed descriptively and for survival. Results: The median age at diagnosis was 45 years old, with 34 % of patients > 40 years old. The incidence of serous BOT (SBOT) was 47.9% (102/213) and 49.3 % (105/213) were mucinous BOT (MBOT). Most of the patients were diagnosed in Stage I 83.6% (178/213), 6.1%( 13/213) were in stage II and 10.0% (22/213) were stage III. There were no patients in stage IV. At the end of the study period 73% (156/213) of the women were alive with no evidence of disease. Univariate analysis, indicated that the histological subtype of tumour, the type of surgery, the presence of residual disease, advanced stage disease, the presence of ascites were all statistically significant in affecting survival. Multivariate analysis, however, revealed that only the presence of residual disease was statistically significant as a prognostic predictor of poor outcome.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/25292 |
Date | January 2017 |
Creators | Hendricks, Aneeqah |
Contributors | Denny, Lynette, van Wijk, Leon |
Publisher | University of Cape Town, Faculty of Health Sciences, Department of Obstetrics and Gynaecology |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Master Thesis, Masters, MMed |
Format | application/pdf |
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