Another Effort to Improve Breast Cancer Risk Prediction

A new model that incorporates benign breast biopsy histology was statistically but not clinically superior to the commonly used Breast Cancer Risk Assessment tool.

Breast cancer prediction models such as the Breast Cancer Risk Assessment Tool (BCRAT; also known as the Gail model) perform poorly. Investigators have now developed a personalized risk-assessment tool that incorporates individual histologic breast biopsy data, along with demographic and clinical features, to predict breast cancer risk in women after a benign breast biopsy.

The researchers studied a cohort of 9854 women with benign breast disease (BBD) who underwent excisional breast biopsies (N Engl J Med 2005; 353:229); of these women, 924 subsequently developed breast cancer. One case-control set from the cohort was used to develop the new BBD-to-breast cancer (BBD-BC) risk-assessment tool, and another was used to validate it.

At median fo…

Reviewing Author

Virginia Kaklamani, MD, DSc

Another Effort to Improve Breast Cancer Risk Prediction

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Reviewing Author