Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules

Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules
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DOI:
10.1118/1.1605351
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发表时间:
2003-10-01
期刊:
影响因子:
3.8
通讯作者:
Doi, K
Doi, K
中科院分区:
医学3区
文献类型:
--
作者:
Li, Q;Li, F;Doi, K

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我们一直在开发一种计算机化方案,通过使用恶性结节和良性结节的相似图像,帮助放射科医生提高低剂量计算机断层扫描 (LDCT) 扫描对肺癌的诊断准确性。日本长野的一项早期肺癌 LDCT 筛查项目首次收集了 415 份 LDCT 扫描数据库,其中包括 73 例 76 例确诊癌症和 342 例 413 例良性结节。首先对五位放射科医生进行了一项使用接收器操作特征分析的观察者研究,证明呈现恶性结节和良性结节的相似图像可以显着提高放射科医生诊断未知结节的表现。然后进行了另一项观察者研究,以获得 10 名放射科医生主观相似性评级的可靠数据。基于主观相似性评级,从大量结节特征中选择了三个重要特征,并根据与主观相似性评级的相关系数,研究和评估了四种不同的相似性度量确定技术,即基于特征的技术、基于像素值差的技术、基于互相关的技术和基于神经网络的技术。本研究的实验结果表明,基于神经网络的技术可以提供可靠的心理物理学相似性度量,当使用与其他九名放射科医生的平均相似性评级的相关性进行评估时,该度量可与单个放射科医生的主观相似性评级相媲美。 (C) 2003 年美国医学物理学家协会。
We have been developing a computerized scheme to assist radiologists in improving the diagnostic accuracy for lung cancers on low-dose computed tomography (LDCT) scans by use of similar images for malignant nodules and benign nodules. A database of 415 LDCT scans including 73 cases with 76 confirmed cancers and 342 cases with 413 confirmed benign nodules was first collected in an LDCT screening program for early detection of lung cancers in Nagano, Japan. An observer study by use of receiver operating characteristics analysis was first conducted with five radiologists to demonstrate that presenting similar images for malignant nodules and benign nodules can significantly improve radiologists' performance in the diagnosis of unknown nodules. Another observer study was then conducted for obtaining reliable data on subjective similarity ratings by 10 radiologists. Based on the subjective similarity ratings, three important features were selected from a number of nodule features, and four different techniques for the determination of similarity measures, namely, a feature-based technique, a pixel-value-difference based technique, a cross-correlation-based technique, and a neural-network-based technique, were investigated and evaluated in term's of the correlation coefficient with the subjective similarity ratings. The experimental results in this study indicated that the neural-network-based technique can provide a reliable psychophysical similarity measure which is comparable to the subjective similarity ratings for a single radiologist when evaluated by use of correlation with the average similarity ratings for the other nine radiologists. (C) 2003 American Association of Physicists in Medicine.