Researchers developed new model that can help analyze the breast cancer based on a measure of breast density which represents the strongest factor after age for developing breast cancer. Researchers said there’s no model yet for assessing breast cancer risk that includes this important risk factor and this new model could help to improve breast cancer screening and to help women better understand the significance of risk. This new model uses breast density, age and ethnicity to predict incidence of invasive breast cancer.

Experts found that a model that incorporates mammographic breast cancer density can estimate a women’s risk for invasive breast cancer. They found that it could be incorporated into routine breast cancer screening. After five years of observation researchers found that the observed rate of invasive breast cancer was 1.4 % compared to the expected rate created by the model of 1.41% . After researchers compared their model to the currently used Gail model they found that it was poorly calibrated and underestimated the number of breast cancers by 12%.

When study was finished experts said that this is not definitive model for breast cancer risk assessment and it’s unlikely a single model would be able to address all needs in breast cancer risk assessment.