Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505356 | Computers in Biology and Medicine | 2010 | 7 Pages |
Abstract
This paper explores the potential of a computer-aided diagnosis system to discriminate the real benign microcalcifications among a specific subset of 109 patients with BIRADS 3 mammograms who had undergone biopsy, thus making it possible to downgrade them to BIRADS 2 category. The system detected and quantified critical features of microcalcifications and classified them on a risk percentage scale for malignancy. The system successfully detected all cancers. Nevertheless, it suggested biopsy for 11/15 atypical lesions. Finally, the system characterized as definitely benign (BIRADS 2) 29/88 benign lesions, previously assigned to BIRADS 3, and thus achieved a reduction of 33% in unnecessary biopsies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Georgia Giannakopoulou, George M. Spyrou, Argyro Antaraki, Ioannis Andreadis, Dimitra Koulocheri, Flora Zagouri, Afroditi Nonni, George M. Filippakis, Konstantina S. Nikita, Panos A. Ligomenides, George C. Zografos,