Mayo Clinic Develops Novel Breast Cancer Risk Prediction Model

Mayo Clinic Develops Novel Breast Cancer Risk Prediction Model
shutterstock_149465573Researchers at Mayo Clinic developed a new model for prediction of breast cancer risk, showing their model improves accuracy compared to current cancer risk prediction models. The results were published in the current issue of the Journal of Clinical Oncology. To improve prevention, an accurate and early identification of breast cancer in women who are at increased risk is crucial. In their study, entitled “Model for Individualized Prediction of Breast Cancer Risk After a Benign Breast Biopsy”, Dr. Amy Degnim and colleagues at the Mayo Clinic, designed a risk prediction model incorporating histologic features from biopsy tissues from women diagnosed with benign breast disease (BBD) and compared the risk prediction model with the current Breast Cancer Risk Assessment Tool (BCRAT). “Physicians routinely perform biopsies to evaluate concerning findings in the breast, either felt on exam or seen on mammogram, for the presence of a breast cancer,” Dr. Degnim, M.D., a surgeon at Mayo Clinic and senior author of the study, state in a recent
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