乳腺密度对全视野数字化乳腺摄影中计算机辅助检测的影响。
Impact of breast density on computer-aided detection in full-field digital mammography.
作者信息
Obenauer Silvia, Sohns Christian, Werner Carola, Grabbe Eckhardt
机构信息
Department of Radiology, Georg August University, Robert-Koch-Str. 40, Göttingen Niedersachsen, 37 075, Germany.
出版信息
J Digit Imaging. 2006 Sep;19(3):258-63. doi: 10.1007/s10278-006-0592-x.
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.
本研究的目的是评估计算机辅助检测（CAD）系统在全视野数字乳腺摄影（法国通用电气公司生产的Senographe 2000D）中根据乳腺实质密度检测癌症的性能。使用数字CAD系统（美国加利福尼亚州洛斯阿尔托斯市的ImageChecker V2.3 R2 Technology）对226例经组织学证实的癌症的内外侧斜位（MLO）和186例头尾位（CC）乳腺钼靶图像进行回顾性评估。在MLO位，CAD对美国放射学会（ACR）1型乳腺实质组织密度的乳房中84.85%的恶性肿瘤检测正确，对ACR 2型的检测正确率为70.33%，对ACR 3型的为68.12%，对ACR 4型的为69.70%。对于CC位，根据ACR类型也发现了类似结果。使用卡方检验和McNemar检验，无统计学意义。然而，随着ACR类型降低，可观察到更好的检测趋势。总之，使用CAD系统时，乳腺组织密度似乎有影响乳腺癌检测率的趋势。
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