By Kathleen Berger

There’s a new method of analyzing mammograms. It’s being developed by researchers at WashU Medicine. The new AI method identifies individuals at high-risk of developing breast cancer more accurately than the standard, questionnaire-based method. So, AI may now improve breast cancer risk prediction.

“We are seeking ways to improve early detection, since that increases the chances of successful treatment,” said senior author Graham A. Colditz, MD, DrPH, associate director, prevention and control, of Siteman Cancer Center, based at Barnes-Jewish Hospital and WashU Medicine, and the Niess-Gain Professor of Surgery. “This improved prediction of risk also may help research surrounding prevention, so that we can find better ways for women who fall into the high-risk category to lower their five-year risk of developing breast cancer.”

The new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing up to three years of previous mammograms. This risk-prediction method builds on past research at WashU Medicine. Prior mammograms hold a wealth of information on early signs of breast cancer development that cannot be perceived even by a well-trained human eye. The information includes subtle changes over time in breast density.

So, the research team built an algorithm based on artificial intelligence that can discern subtle differences in mammograms and help identify those women at highest risk. The research shows how AI can spot subtle changes over time, enhancing the accuracy of a 5-year risk for breast cancer.

The hope is that artificial intelligence, could help diagnose cancer earlier and guide recommendations for earlier screening, additional imaging or risk-reducing medications.