Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization
Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization
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DOI：
10.1148/radiol.2372041555
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发表时间：
2005-11-01
期刊：
影响因子：
19.7
通讯作者：
Doi, K
中科院分区：
文献类型：
--
作者：
Li, F;Arimura, H;Doi, K
目得：回顾性评估差异图像计算机辅助检测（CAD）方案是否可以由放射科医生检测到低剂量计算机断层扫描（CT）遗漏的周围型肺癌。材料和方法：获得机构审查委员会批准以及患者和观察者的知情同意。17名患者（8名男性和9名女性;平均年龄60岁）在低剂量CT检查时漏诊周围型肺癌，10名对照受试者（5名男性和5名女性;平均年龄63岁）在低剂量CT检查时未患癌症。根据不同的图像显示格式，将14名放射科医生分为两组：6名放射科医生（第1组）使用多格式显示审查CT扫描，8名放射科医生（第2组）使用“堆叠”电影模式显示审查图像。放射科医生，首先没有，然后与CAD方案，指出他们的信心水平，关于存在（或不存在），癌症和最可能的位置病变的每一个CT扫描。计算无定位和有定位的受试者工作特征（ROC）曲线，以评估观察者的表现。结果：使用CAD方案，所有放射科医师的ROC曲线下面积平均值从0.763提高到0.854（P = 0.002），组I从0.757至0.862（P = 0.04），组2从0.768至0.848（P = 0.01）。所有放射科医生检测17种癌症的平均灵敏度从52%（238次观察中的124次）提高到68%（238次观察中的163次）（P
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