Computer aided detection of masses in mammograms as decision support.
Computer aided detection of masses in mammograms as decision support.
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DOI：
10.1259/bjr/37622515
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发表时间：
2006-12-01
期刊：
影响因子：
--
通讯作者：
Holland, R
中科院分区：
文献类型：
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作者：
Karssemeijer, N;Otten, J D M;Holland, R
研究了乳房 X 光检查中肿块的计算机辅助检测 (CAD) 系统的性能。使用观察者研究中收集的数据，其中经验丰富的筛查放射科医生在没有 CAD 的情况下读取了一系列 500 张筛查乳房 X 光照片，将放射科医生的表现与 CAD 系统的独立性能进行了比较。由于 FP（误报）数量较多，CAD 的性能低于阅读器。然而，当分析仅限于放射科医生识别的乳房 X 线摄影区域时，我们发现 CAD 系统在区分这些区域的癌症和非癌症方面与读者相当。在回顾性分析中，将读者评分与 CAD 的独立组合的效果与两名放射科医生评分的独立组合的效果进行了比较。这两种方法的结果没有发现显着差异。两种方法都显着改善了单次读取结果。
Performance of a computer aided detection (CAD) system for masses in mammograms was investigated. Using data collected in an observer study, in which experienced screening radiologists read a series of 500 screening mammograms without CAD, performance of radiologists was compared to the standalone performance of the CAD system. Due to a larger number of FPs (false positives), the performance of CAD was lower than that of the readers. However, when analysis was restricted to mammographic regions identified by the radiologists, it was found that the CAD system was comparable to the readers in discriminating these regions in cancer and non-cancer. In a retrospective analysis, the effect of independent combination of reader scores with CAD was compared to independent combination of scores of two radiologists. No significant difference was found between the results of these two methods. Both methods improved single reading results significantly.