Differences between computer-aided diagnosis of breast masses and that of calcifications.
Differences between computer-aided diagnosis of breast masses and that of calcifications.
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DOI：
10.1148/radiol.2232011257
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发表时间：
2002-05
期刊：
影响因子：
19.7
通讯作者：
M. Markey;J. Lo;C. Floyd
中科院分区：
文献类型：
--
作者：
M. Markey;J. Lo;C. Floyd
PURPOSE To compare the performance of a computer-aided diagnosis (CAD) system for diagnosis of previously detected lesions, based on radiologist-extracted findings on masses and calcifications. MATERIALS AND METHODS A feed-forward, back-propagation artificial neural network (BP-ANN) was trained in a round-robin (leave-one-out) manner to predict biopsy outcome from mammographic findings (according to the Breast Imaging Reporting and Data System) and patient age. The BP-ANN was trained by using a large (>1,000 cases) heterogeneous data set containing masses and microcalcifications. The performances of the BP-ANN on masses and microcalcifications were compared with use of receiver operating characteristic analysis and a z test for uncorrelated samples. RESULTS The BP-ANN performed significantly better on masses than microcalcifications in terms of both the area under the receiver operating characteristic curve and the partial receiver operating characteristic area index. A similar difference in performance was observed with a second model (linear discriminant analysis) and also with a second data set from a similar institution. CONCLUSION Masses and calcifications should be considered separately when evaluating CAD systems for breast cancer diagnosis.
