Imaging studies that identify suspicious lesions in women’s breasts often lead to biopsies, even in cases that are only minimally suspicious. These tests to rule out false positives can cause needless anxiety and risks to their health.
But combining the use of statistical methods with image analysis may have the potential to downgrade the risk classification of breast masses, thus reducing the need for unnecessary breast biopsies, according to clinicians from Seno Medical and collaborators from The University of Texas.
