Downgrading BIRADS 3 to BIRADS 2 category using a computer-aided microcalcification analysis and risk assessment system for early breast cancer

被引：6

作者：

Giannakopoulou, Georgia ^{[1
,2
]}

Spyrou, George M. ^{[3
,4
]}

Antaraki, Argyro ^{[3
]}

Andreadis, Ioannis ^{[3
,6
]}

Koulocheri, Dimitra ^{[1
,2
]}

Zagouri, Flora ^{[1
]}

Nonni, Afroditi ^{[5
]}

Filippakis, George M. ^{[1
]}

Nikita, Konstantina S. ^{[6
]}

Ligomenides, Panos A. ^{[3
]}

Zografos, George C. ^{[1
]}

机构：

[1] Univ Athens, Sch Med, Hippokratio Hosp, Breast Unit,Dept Propaedeut Surg 1, GR-11527 Athens, Greece

[2] Hippokrateion Hosp, Dept Radiol, Athens 11527, Greece

[3] Acad Athens, Informat Lab, Athens 11527, Greece

[4] Acad Athens, Biomed Informat Unit, Biomed Res Fdn, Athens 11527, Greece

[5] Univ Athens, Sch Med, Dept Pathol, GR-11527 Athens, Greece

[6] Natl Tech Univ Athens, Dept Elect & Comp Engn, Athens 15780, Greece

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2010年 / 40卷 / 11-12期

关键词：

Early breast cancer; Microcalcifications; BIRADS; 3; CAD system; SVABB; MAMMOGRAPHIC MICROCALCIFICATIONS; CLUSTERED MICROCALCIFICATIONS; SCREENING MAMMOGRAPHY; DIAGNOSIS SCHEME; APPROPRIATE ROLE; BENIGN; BIOPSY; CLASSIFICATION; CARCINOMA; SEGMENTATION;

D O I：

10.1016/j.compbiomed.2010.09.005

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：853 / 859

页数：7

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