Impact of breast density on computer-aided detection in full-field digital mammography

被引:26
作者
Obenauer, Silvia
Sohns, Christian
Werner, Carola
Grabbe, Eckhardt
机构
[1] Univ Gottingen, Dept Radiol, D-37075 Gottingen, Niedersachsen, Germany
[2] Univ Gottingen, Dept Med Stat, D-37075 Gottingen, Niedersachsen, Germany
关键词
full-field digital mammography; computer-aided detection (CAD); breast density; ACR types;
D O I
10.1007/s10278-006-0592-x
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The goal of this study was to evaluate the performance of a computer-aided detection (CAD) system in full-field digital mammography (Senographe 2000D, General Electric, Buc, France) in finding out carcinomas depending on the parenchymal density. A total of 226 mediolateral oblique (MLO) and 186 craniocaudal (CC) mammographic views of histologically proven cancers were retrospectively evaluated with a digital CAD system (ImageChecker V2.3 R2 Technology, Los Altos, CA, USA). Malignant tumors were detected correctly by CAD in MLO view in 84.85% in breasts with parenchymal tissue density of the American College of Radiology (ACR) type 1, in 70.33% of the ACR type 2, in 68.12% of the ACR type 3, and in 69.70% of the ACR type 4. For the CC view, similar results were found according to the ACR types. Using the chi-square and McNemar tests, there was no statistical significance. However, a trend of better detection could be seen with decreasing ACR type. In conclusion, there seems to be a tendency for breast tissue density to affect the detection rate of breast cancer when using the CAD system.
引用
收藏
页码:258 / 263
页数:6
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