Diagnostic performance of a computer-aided image analysis system for breast ultrasound

被引:5
|
作者
Andre, M. [1 ]
Galperin, M.
Contro, G.
Omid, N.
Olson, L.
Comstock, C.
Richman, K.
O'Boyle, M.
机构
[1] Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USA
[2] VA Healthcare Syst, San Diego, CA USA
来源
关键词
breast cancer; computer-aided diagnosis; image processing; relative similarity; artificial neural network; ROC analysis;
D O I
10.1007/1-4020-5721-0_36
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
We developed a sophisticated computer-aided diagnostic system optimized to the specific application of standardizing interpretation of diagnostic breast ultrasound. The implemented Computer-Aided Diagnostic tool was evaluated on a database of 332 cases with findings known ("truth") via biopsy or two-year benign follow up. These same cases were interpreted by a group of four experienced radiologists. Performance of the developed CAD was measured as Sensitivity, Specificity, PPV, NPV and ROC Area (A(Z)). For the CAIS A(Z)=0.96, which exceeded the performance of four expert radiologists (average A(Z)=0.86). Az for the radiologists was not significantly different (0.86, 0.85, 0.87, 0.86 0.03). Statistical Power for the study was 93%. The excellent performance of CAIS appears to justify further evaluation in a clinical setting to determine its impact on decision making.
引用
收藏
页码:341 / 348
页数:8
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