Breast Unit, 1st Department of Propaedeutic Surgery, Hippokratio Hospital, School of Medicine, University of Athens, 114, Vas. Sofias Avenue, 11527 Athens, Greece.
Comput Biol Med. 2010 Nov-Dec;40(11-12):853-9. doi: 10.1016/j.compbiomed.2010.09.005. Epub 2010 Oct 14.
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.
本文探讨了计算机辅助诊断系统在鉴别特定亚组 109 例 BI-RADS 3 乳腺 X 线摄影患者活检中的真实良性微钙化方面的潜力，这些患者经活检后可将其降级为 BI-RADS 2 类别。该系统检测并量化了微钙化的关键特征，并根据恶性风险百分比对其进行分类。该系统成功检测到所有癌症。然而，它建议对 15 个非典型病变中的 11 个进行活检。最后，该系统将之前被归类为 BI-RADS 3 的 88 个良性病变中的 29 个特征化为肯定良性（BI-RADS 2），从而减少了 33%的不必要活检。
