Radiologists have developed a computer based model that aids them in discriminating between benign and malignant breast lesions, according to a study performed at the University Of Wisconsin School of Medicine, Madison, WI. The model was developed by a multidisciplinary group, including radiologists and industrial engineers, led by Elizabeth S. Burnside, MD, Oguzhan Alagoz, PhD, and Jagpreet Chhatwal, PhD.

"The computer based model was designed to help the radiologist calculate breast cancer risk based on abnormality descriptors like mass shape; mass margins; mass density; mass size; calcification shape and distribution," said Elizabeth S. Burnside, MD, and Jagpreet Chhatwal, MD, lead authors to the study. "When the radiologist combined his/her assessment with the computer model the radiologist was able to detect 41 more cancers than when they didn't use the model. The model was created based upon findings of 48,744 mammograms in a breast imaging reporting database and found that the use of hormones and a family history of breast cancer did not contribute significant predictive ability in this context," they said…