Lesion on Breast MRI (image) Dartmouth-Hitchcock Medical Center Share Print E-Mail Caption Dartmouth researchers led by Saeed Hassanpour, PhD, found a machine learning method to predict the likelihood that a high-risk ADH breast lesion is cancerous. The approach can identify 98% of all malignant cases prior to surgery while sparing 16% of women from undergoing an unnecessary operation for a benign lesion. Once confirmed in larger studies, such models can be desirable for low-risk patients who value a shared decision-making approach to decide whether active surveillance and hormonal therapy is a reasonable alternative to surgical excision. Credit National Cancer Institute (https://www.cancer.gov). Usage Restrictions None Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.