Kido Shoji, Kuriyama Keiko, Kuroda Chikazumi, Nakamura Hironobu, Ito Wataru, Shimura Kazuo, Kato Hisatoyo
Department of Computer Science and Systems Engineering, Faculty of Engineering, Yamaguchi University, 16-1, Tokiwadai 2-Chome, Ube, Yamaguchi 755-8611, Japan.
Eur J Radiol. 2002 Dec;44(3):205-9. doi: 10.1016/s0720-048x(02)00269-3.
To evaluate the performance of the computer-aided diagnosis (CAD) scheme on the detection of pulmonary nodules (PNs) in single-exposure dual-energy subtraction computed radiography (CR) images of the chest, and to evaluate the effect of this CAD scheme on radiologists' detectibilaties.
We compared the detectability by the CAD scheme with the detectability by 12 observers by using conventional CR (C-CR) and bone-subtracted CR (BS-CR) images of 25 chest phantoms with a low-contrast nylon nodule.
Both in the CAD scheme and for the observers, the detectability of BS-CR images was superior to that of C-CR images (P<0.005). The detection performance of the CAD scheme was equal to that of the observers. The nodules detected by the CAD did not necessarily coincide with those by the observers. Thus, if observers can use the results of the CAD system as a 'second opinion', their detectabilities increase.
The CAD system for detection of PNs in the single-exposure dual-energy subtraction method is promising for improving radiologists' detectabilities of PNs.
评估计算机辅助诊断（CAD）方案在胸部单曝光双能减影计算机X线摄影（CR）图像中检测肺结节（PNs）的性能，并评估该CAD方案对放射科医生检测能力的影响。
我们通过使用25个带有低对比度尼龙结节的胸部模体的传统CR（C-CR）和骨减影CR（BS-CR）图像，将CAD方案的可检测性与12名观察者的可检测性进行了比较。
无论是在CAD方案中还是对于观察者，BS-CR图像的可检测性均优于C-CR图像（P<0.005）。CAD方案的检测性能与观察者的相当。CAD检测出的结节不一定与观察者检测出的结节一致。因此，如果观察者能够将CAD系统的结果作为“第二种意见”，他们的检测能力会提高。
单曝光双能减影法检测PNs的CAD系统有望提高放射科医生对PNs的检测能力。
