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首页> 外文期刊>Journal of Digital Imaging >Impact of Breast Density on Computer-Aided Detection in Full-Field Digital Mammography
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Impact of Breast Density on Computer-Aided Detection in Full-Field Digital Mammography

机译：乳房密度对全场数字乳腺X射线摄影中计算机辅助检测的影响

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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.
机译：这项研究的目的是评估计算机辅助检测（CAD）系统在全场数字乳房X线摄影术（Senographe 2000D，通用电气，法国布克，法国）中根据实质密度发现癌症的性能。使用数字CAD系统（ImageChecker V2.3 R2 Technology，Los Altos，CA，USA）回顾性评估了经组织学证实的癌症的总共226个经外侧斜（MLO）和186个颅尾（CC）乳房X线照片。通过CAD在MLO视图中正确检出了恶性肿瘤，其中美国放射学院（ACR）1型实质组织密度为84.85％的乳腺癌，2型ACR的70.33％，3型ACR的68.12％和在ACR类型4的69.70％中。对于CC视图，根据ACR类型发现了相似的结果。使用卡方检验和McNemar检验，没有统计学意义。但是，随着ACR类型的减少，可以看到更好的检测趋势。总之，使用CAD系统时，乳腺组织密度似乎有可能影响乳腺癌的检出率。

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