4.7 Article

Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization

期刊

RADIOLOGY
卷 237, 期 2, 页码 684-690

出版社

RADIOLOGICAL SOC NORTH AMERICA
DOI: 10.1148/radiol.2372041555

关键词

-

向作者/读者索取更多资源

PURPOSE: To retrospectively evaluate whether a difference-image computer-aided detection (CAD) scheme can heir) radiologists detect peripheral lung cancers missed at low-dose computed tomography (CT). MATERIALS AND METHODS: Institutional review board approval and informed patient and observer consent were obtained. Seventeen patients (eight men and nine women; mean age, 60 years) with a missed peripheral lung cancer and 10 control subjects (five men and five women; mean age, 63 years) without cancer at low-dose CT were included in an observer study. Fourteen radiologists were divided into two groups on the basis of different image display formats: Six radiologists (group 1) reviewed CT,scans with a multiformat display, and eight radiologists (group 2) reviewed images with a stacked cine-mode display. The radiologists, first without and then with the CAD scheme, indicated their confidence level regarding the presence (or absence) of,cancer and the most likely position of a lesion on each CT scan. Receiver operating characteristic (ROC) curves were calculated without and with localization to evaluate the observers' performance. RESULTS: With the CAD scheme, the average area under the ROC curve improved from 0.763 to 0.854 for all radiologists (P = .002), from 0.757 to 0.862 for group I (P = .04), and from 0.768 to 0.848 for group 2 (P =.01). The average sensitivity in the detection of 17 cancers improved from 52% (124 of 238 observations) to 68% (163 of 238 observations) for all radiologists (P <.001), from 49% (50 of 102 observations) to 71% (72 of 102 observations) for group 1 (P =.02), and from 54% (74 of 136 observations) to 67% (91 of 136 observations) for group 2 (P =.006). The localization ROC curve also improved. CONCLUSION: Lung cancers missed at low-dose CT were very difficult to detect, even in an observer study. The use of CAD, however, can improve radiologists' performance in the detection of these subtle cancers. (c) RSNA, 2005.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据