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A new test, called ADNEX, reported in the British Medical Journal in October 2014 helps to identify different types and stages of ovarian cancer more accurately, which scientists claim will reduce the incidences of unnecessary surgeries.
Accurate, simple and ready The test, developed by an international team led by Imperial College London and KU Leuven, Belgium, is based on patient data, a simple blood test, and features that can be identified on an ultrasound scan. Doctors can use it simply by entering patient data into a smartphone app. It's highly accurate, and discriminates between benign and malignant tumours, and also identifies different types of malignant tumours. Successful treatment depends on accurate diagnosis, and diagnosis of ovarian cancer can be challenging. According to Professor Tom Bourne, Department of Surgery and Cancer at Imperial College London, "The way we assess women with ovarian cysts for the presence of cancer and select treatment lacks accuracy. This new approach to classifying ovarian tumours can help doctors make the right management decisions, which will improve the outcome for women with cancer. It will also reduce the likelihood of women with all types of cysts having excessive or unnecessary treatment that may impact on their fertility." |
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