首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >Features of prospectively overlooked computer-aided detection marks on prior screening digital mammograms in women with breast cancer.
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Features of prospectively overlooked computer-aided detection marks on prior screening digital mammograms in women with breast cancer.

机译:乳腺癌女性事先筛查数字化X线照片上可能被忽略的计算机辅助检测标记的特征。

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OBJECTIVE: The purpose of this article is to describe the features of prospectively overlooked computer-aided detection (CAD) marks on prior screening digital mammograms for women with breast cancer. SUBJECTS AND METHODS: A CAD system embedded in a digital mammography system was prospectively applied to 50,100 screening mammograms between December 2003 and December 2006. Each mammogram was originally interpreted by one of five radiologists using the CAD information. Seventy-five mammogram pairs of prior negative screening mammograms and subsequent mammograms of developed cancers were collected. Visible findings and their actionability were determined by three blinded radiologists. All CAD marks, both true-positive and false-positive, and the number of marked views for the visible findings on prior mammograms were analyzed. RESULTS: Of the 75 areas where cancer later developed, 61% (46/75) of mammograms had visible findings (21 masses, 17 microcalcifications, and eight masses with microcalcifications). Of these visible findings, 46% (21/46) were determined to be actionable, and 54% (25/46) were underthreshold. The CAD system had correctly depicted 74% (34/46) of the visible findings-52% (11/21) of masses, 94% (16/17) of microcalcifications, and 88% (7/8) of masses with microcalcifications. Actionable findings showed higher CAD sensitivity than did underthreshold findings (90% [19/21] vs 60% [15/25]; p = 0.04) and were more often marked on both views (58% [11/19] vs 27% [4/15]; p = 0.09). The average number of false-positive marks per case was 1.61. CONCLUSION: On prior screening digital mammograms, the CAD system had correctly marked 74% (34/46) of visible findings and 90% (19/21) of actionable findings. The actionable findings showed significantly higher CAD sensitivity and were marked on both mammographic views more often than the underthreshold findings were.
机译:目的:本文旨在描述乳腺癌女性在事先筛查数字化乳房X线照片上可能被忽视的计算机辅助检测(CAD)标记的特征。研究对象和方法:在2003年12月至2006年12月之间,预期将嵌入数字化乳腺摄影系统的CAD系统应用于50,100幅乳腺摄影X线照片。每幅乳腺X线照片最初是由五位放射科医生使用CAD信息进行解释的。收集了七十五对先前的阴性筛查乳房X光照片和随后的已发展癌症的乳房X光照片。可见的发现及其可操作性由三位不知情的放射科医生确定。分析了所有CAD标记,包括真阳性和假阳性,以及先前乳房X线照片上可见结果的标记视图数量。结果:在后来发生癌症的75个区域中,有61%(46/75)的乳房X线照片具有可见的发现(21个肿块,17个微钙化和8个有微钙化的肿块)。在这些可见的发现中,有46%(21/46)被确定为可行的,而54%(25/46)为阈值以下。 CAD系统正确描绘了可见结果的74%(34/46)-52%(11/21)的质量,94%(16/17)的微钙化和88%(7/8)的微钙化。可行的结果显示,CAD敏感性高于阈值以下的发现(90%[19/21]对比60%[15/25]; p = 0.04),并且在两种视图中标记的频率更高(58%[11/19]对比27%) [4/15]; p = 0.09)。每例平均假阳性标记数为1.61。结论:在事先筛查数字化乳房X光照片时,CAD系统正确标记了74%(34/46)的可见结果和90%(19/21)的可行结果。可行的发现显示CAD敏感性显着提高,并且在两次乳房X线照片上比在阈值以下的发现更频繁地进行标记。

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