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A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer.
We present a quantitative study of the performance of two automatic methods for the early detection of ovarian cancer that can exploit longitudinal measurements of multiple biomarkers. The study is carried out for a subset ...
Impact of a decision aid about stratified ovarian cancer risk-management on women's knowledge and intentions: a randomised online experimental survey study.
BACKGROUND: Risk stratification using genetic and other types of personal information could improve current best available approaches to ovarian cancer risk reduction, improving identification of women at increased risk ...
A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects.
BACKGROUND: Although BRCA1 and BRCA2 mutations account for only ∼27% of the familial aggregation of ovarian cancer (OvC), no OvC risk prediction model currently exists that considers the effects of BRCA1, BRCA2 and other ...
Robotic and Advanced Laparoscopic Surgical Training in European Gynecological Oncology Trainees.
INTRODUCTION: Advanced minimal access surgical training is an important component of training in gynecological oncology (GO). Europe-wide data on this topic are lacking. We present data on availability and trainee experience ...
Variations in gynecologic oncology training in low (LIC) and middle income (MIC) countries (LMICs): Common efforts and challenges.
Gynecologic cancer, cervical cancer in particular, is disproportionately represented in the developing world where mortality is also high. Screening programs, increased availability of chemotherapy, and an awareness of ...