Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules

Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules
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小波变换增强CT图像提高胸部结节的诊断准确性

DOI:
10.1007/s10278-009-9248-y
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发表时间:
2011-02-01
影响因子:
4.4
通讯作者:
Wang, Wei
Wang, Wei
中科院分区:
工程技术2区
文献类型:
--
作者:
Guo, Xiuhua;Liu, Xiangye;Wang, Wei

文献摘要

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本研究的目的是比较使用原始CT图像与基于小波变换的增强CT图像解释胸部结节的诊断准确性。本文分析了118例恶性肿瘤和60例良性结节的CT图像。所有图像均通过基于小波变换的算法进行增强。两名经验丰富的放射科医师在两次阅读会议中解读所有图像。阅读阶段至少间隔1个月,以尽量减少观察员回忆的影响。采用Mann-Whitney非参数检验分析原始图像与增强图像的判读结果。采用K个独立样本的Kruskal-WallisH非参数检验探讨影响观察者诊断准确性的相关因素。原始图像和增强图像的ROC曲线下面积分别为0.681和0.736。增强前后对恶性结节的诊断差异有显著性(z= 7.122,P < 0.001),对良性结节的诊断差异无显著性(z= 0.894,P = 0.371)。结果显示,当结节直径大于2 cm时,增强图像与原始图像之间的差异有统计学意义(Z=-2.509,P = 0.012,表明结节大小是评价观察者诊断准确性的一个重要因素)。本研究表明,基于小波变换的图像增强可以提高放射科医生对恶性胸部结节的诊断准确率。
The objective of this study was to compare the diagnostic accuracy in the interpretation of chest nodules using original CT images versus enhanced CT images based on the wavelet transform. The CT images of 118 patients with cancers and 60 with benign nodules were used in this study. All images were enhanced through an algorithm based on the wavelet transform. Two experienced radiologists interpreted all the images in two reading sessions. The reading sessions were separated by a minimum of 1 month in order to minimize the effect of observer’s recall. The Mann–WhitneyUnonparametric test was used to analyze the interpretation results between original and enhanced images. The Kruskal–WallisHnonparametric test ofKindependent samples was used to investigate the related factors which could affect the diagnostic accuracy of observers. The area under the ROC curves for the original and enhanced images was 0.681 and 0.736, respectively. There is significant difference in diagnosing the malignant nodules between the original and enhanced images (z= 7.122,P< 0.001), whereas there is no significant difference in diagnosing the benign nodules (z= 0.894,P= 0.371). The results showed that there is significant difference between original and enhancement images when the size of nodules was larger than 2 cm (Z= −2.509,P= 0.012, indicating the size of the nodules is a critical evaluating factor of the diagnostic accuracy of observers). This study indicated that the image enhancement based on wavelet transform could improve the diagnostic accuracy of radiologists for the malignant chest nodules.