Tagashira Hiroyuki, Arakawa Kenji, Yoshimoto Masahiro, Mochizuki Teruhito, Murase Kenya, Yoshida Hiroyuki
Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan.
Eur J Radiol. 2008 Mar;65(3):473-7. doi: 10.1016/j.ejrad.2007.04.017. Epub 2007 May 30.
Computed radiography (CR) has been shown to have relatively low sensitivity for detection of pulmonary nodules. This poor sensitivity precludes its use as a screening modality despite the low cost, low dose and wide distribution of devices. The purpose of this study was to apply multi-objective frequency processing (MFP) to CR images and to evaluate its usefulness for diagnosing subtle lung abnormalities. Fifty CR images with simulated subtle lung abnormalities were obtained from 50 volunteers. Each image was processed with MFP. We cut chest images. The chest image was divided into two rights and left. A total of 200 half-chest images (100 MFP-processed images and 100 MFP-unprocessed images) were prepared. Five radiologists participated in this study. ROC analyses demonstrated that the detection rate of simulated subtle lung abnormalities on the CR images was significantly better with MFP (Az=0.8508) than without MFP (Az=0.7925). The CR images processed with MFP could be useful for diagnosing subtle lung abnormalities. In conclusion, MFP appears to be useful for increasing the sensitivity and specificity in the detection of pulmonary nodules, ground-glass opacity (GGO) and reticular shadow.
计算机X线摄影（CR）已被证明对肺结节的检测灵敏度相对较低。尽管设备成本低、剂量低且分布广泛，但这种低灵敏度使其无法用作筛查方式。本研究的目的是将多目标频率处理（MFP）应用于CR图像，并评估其在诊断细微肺部异常方面的效用。从50名志愿者那里获得了50张带有模拟细微肺部异常的CR图像。每张图像都用MFP进行处理。我们裁剪胸部图像。胸部图像被分为左右两半。总共准备了200张半胸部图像（100张经MFP处理的图像和100张未经MFP处理的图像）。五名放射科医生参与了本研究。ROC分析表明，CR图像上模拟细微肺部异常的检测率在经MFP处理后（Az = 0.8508）显著优于未经MFP处理时（Az = 0.7925）。经MFP处理的CR图像可能有助于诊断细微肺部异常。总之，MFP似乎有助于提高肺结节、磨玻璃影（GGO）和网状阴影检测的灵敏度和特异性。
