New tool may allow better prediction of cancer risk in women

And an Australian expert believes the model could prove useful in assisting clinical decision making.

US researchers developed the statistical models by using information from two large studies on common risk factors such as parity, BMI, use of oral contraceptives, menopausal status and use of hormone replacement therapy.

The resulting models were able to predict individual women’s risk of each cancer. For example, individual women’s risk for endometrial cancer ranged from 0.5% to 29.5% over the next 20 years, depending on their exposure to various risk factors.

However, the studies only