In these circumstances, the proposed computer system will give the radiologist advice that is nearly as, or more reliable than a second radiologist. It will also give the radiologist a simple way of finding other biopsy-proven mammograms that are visually similar to the one being analyzed. This will enable the radiologist to diagnose mammograms more accurately and eliminate the necessity of performing biopsies of many benign breasts. As a result, the proposed diagnostic system will lower the cost by eliminating unnecessary surgical procedures and reduce the degree of psychological stress among the tested patients. According to Jack Eisenman, M.D., Chairman, Department of Radiology, This is cutting edge research.
Digital mammography is a brand new field, however the equipment is very expensive.
Dr. Sklansky hit the nail on the head with his approach in that he will reduce the number of biopsies that are not necessary and therefore realize cost savings. This grant was awarded from a highly competitive pool of submissions.