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首页> 外文会议>International Workshop on Digital Mammography(IWDM 2006); 20060618-21; Manchester(GB) >Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography
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Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography

机译：建立计算机辅助检测对乳腺X线筛查敏感性的影响模型

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摘要

We have developed a Monte Carlo model to examine the cancer detection rate in screening mammography. We simulated the situation where screening was implemented for 9 years and then CADe was implemented for an additional 9 years. We investigated the effectiveness of two different methods for measuring changes in cancer detection rate. The first method was a sequential method in which the radiologist first reads without CADe and then immediately reads with CADe. The second method is temporal comparison where the cancer detection rates for two periods of time are compared: one without the use of CADe and one when CADe is in use. The model predictions have important implications for clinical studies of CADe. The temporal method is unlikely to measure a real affect, because the effect is small. A sequential method can measure an increase in the number of cancers detected because of CADe, but it cannot measure an overall increase in the cancer detection rate of the screening program.
机译：我们开发了一种蒙特卡洛模型，以检查乳腺X线摄影中的癌症检出率。我们模拟了实施筛选9年，然后实施CADe附加9年的情况。我们调查了两种不同方法测量癌症检出率变化的有效性。第一种方法是顺序方法，其中放射科医生首先读取时不使用CADe，然后立即读取时使用CADe。第二种方法是时间比较，其中比较两个时间段的癌症检出率：一个不使用CADe，另一个在使用CADe时。模型预测对CADe的临床研究具有重要意义。临时方法不太可能测量实际影响，因为影响很小。顺序方法可以测量由于CADe而导致检测到的癌症数量的增加，但是无法测量筛查程序的总体癌症检测率。

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