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Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.

机译:多排CT扫描上的肺结节:放射科医生和计算机辅助检测的性能比较。

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PURPOSE: To compare the performance of radiologists and of a computer-aided detection (CAD) algorithm for pulmonary nodule detection on thin-section thoracic computed tomographic (CT) scans. MATERIALS AND METHODS: The study was approved by the institutional review board. The requirement of informed consent was waived. Twenty outpatients (age range, 15-91 years; mean, 64 years) were examined with chest CT (multi-detector row scanner, four detector rows, 1.25-mm section thickness, and 0.6-mm interval) for pulmonary nodules. Three radiologists independently analyzed CT scans, recorded the locus of each nodule candidate, and assigned each a confidence score. A CAD algorithm with parameters chosen by using cross validation was applied to the 20 scans. The reference standard was established by two experienced thoracic radiologists in consensus, with blind review of all nodule candidates and free search for additional nodules at a dedicated workstation for three-dimensional image analysis. True-positive (TP) and false-positive (FP) results and confidence levels were used to generate free-response receiver operating characteristic (ROC) plots. Double-reading performance was determined on the basis of TP detections by either reader. RESULTS: The 20 scans showed 195 noncalcified nodules with a diameter of 3 mm or more (reference reading). Area under the alternative free-response ROC curve was 0.54, 0.48, 0.55, and 0.36 for CAD and readers 1-3, respectively. Differences between reader 3 and CAD and between readers 2 and 3 were significant (P < .05); those between CAD and readers 1 and 2 were not significant. Mean sensitivity for individual readings was 50% (range, 41%-60%); double reading resulted in increase to 63% (range, 56%-67%). With CAD used at a threshold allowing only three FP detections per CT scan, mean sensitivity was increased to 76% (range, 73%-78%). CAD complemented individual readers by detecting additional nodules more effectively than did a second reader; CAD-reader weighted kappa values were significantly lower than reader-reader weighted kappa values (Wilcoxon rank sum test, P < .05). CONCLUSION: With CAD used at a level allowing only three FP detections per CT scan, sensitivity was substantially higher than with conventional double reading.
机译:目的:比较放射科医师和计算机辅助检测(CAD)算法在薄片胸部计算机断层扫描(CT)扫描上进行肺结节检测的性能。材料与方法:该研究得到机构审查委员会的批准。无需知情同意的要求。 20例门诊患者(年龄范围15-91岁;平均64岁)接受了胸部CT(多排探测器,四排探测器,1.25mm的切片厚度和0.6mm的间隔)的肺结节检查。三名放射科医生独立分析了CT扫描,记录了每个结节候选者的所在地,并给每个人分配了置信度评分。将具有通过使用交叉验证选择的参数的CAD算法应用于20次扫描。参考标准是由两位经验丰富的胸腔放射医师共同建立的,对所有结节候选者进行盲目审查,并在专用工作站上免费搜索其他结节以进行三维图像分析。真阳性(TP)和假阳性(FP)结果以及置信度用于生成自由响应接收器工作特征(ROC)图。根据任一阅读器检测到的TP来确定双读性能。结果:20次扫描显示195个非钙化结节,直径3mm或更大(参考读数)。对于CAD和阅读器1-3,替代自由响应ROC曲线下的面积分别为0.54、0.48、0.55和0.36。阅读器3和CAD之间以及阅读器2和3之间的差异非常显着(P <.05); CAD与阅读器1和2之间的那些值不显着。单个读数的平均灵敏度为50%(范围41%-60%);重复阅读导致阅读率增加到63%(范围为56%-67%)。在CAD使用阈值的情况下,每次CT扫描只能进行三个FP检测,因此平均灵敏度提高到76%(范围为73%-78%)。与第二个阅读器相比,CAD通过更有效地检测其他结节来补充单个阅读器。 CAD读者加权kappa值明显低于读者阅读器加权kappa值(Wilcoxon秩和检验,P <.05)。结论:在CAD每次CT扫描只能检测三个FP的水平下,其灵敏度大大高于传统的双重读取。

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