测量计算机断层扫描扫描仪的影像组学特征变异性。
Measuring Computed Tomography Scanner Variability of Radiomics Features.
作者信息
Mackin Dennis, Fave Xenia, Zhang Lifei, Fried David, Yang Jinzhong, Taylor Brian, Rodriguez-Rivera Edgardo, Dodge Cristina, Jones Aaron Kyle, Court Laurence
机构信息
From the *Department of Radiation Physics, The University of Texas MD Anderson Cancer Center; †Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston; ‡Research Service Line and Diagnostic and Therapeutic Care Line, Michael E. DeBakey VA Medical Center; §Department of Radiology, Baylor College of Medicine; ∥Radiation Oncology Department, Houston Methodist Hospital; ¶Department of Diagnostic Imaging, Texas Children's Hospital; and #Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX.
出版信息
Invest Radiol. 2015 Nov;50(11):757-65. doi: 10.1097/RLI.0000000000000180.
OBJECTIVES
The purpose of this study was to determine the significance of interscanner variability in CT image radiomics studies.
MATERIALS AND METHODS
We compared the radiomics features calculated for non-small cell lung cancer (NSCLC) tumors from 20 patients with those calculated for 17 scans of a specially designed radiomics phantom. The phantom comprised 10 cartridges, each filled with different materials to produce a wide range of radiomics feature values. The scans were acquired using General Electric, Philips, Siemens, and Toshiba scanners from 4 medical centers using their routine thoracic imaging protocol. The radiomics feature studied included the mean and standard deviations of the CT numbers as well as textures derived from the neighborhood gray-tone difference matrix. To quantify the significance of the interscanner variability, we introduced the metric feature noise. To look for patterns in the scans, we performed hierarchical clustering for each cartridge.
RESULTS
The mean CT numbers for the 17 CT scans of the phantom cartridges spanned from -864 to 652 Hounsfield units compared with a span of -186 to 35 Hounsfield units for the CT scans of the NSCLC tumors, showing that the phantom's dynamic range includes that of the tumors. The interscanner variability of the feature values depended on both the cartridge material and the feature, and the variability was large relative to the interpatient variability in the NSCLC tumors for some features. The feature interscanner noise was greatest for busyness and least for texture strength. Hierarchical clustering produced different clusters of the phantom scans for each cartridge, although there was some consistent clustering by scanner manufacturer.
CONCLUSIONS
The variability in the values of radiomics features calculated on CT images from different CT scanners can be comparable to the variability in these features found in CT images of NSCLC tumors. These interscanner differences should be considered, and their effects should be minimized in future radiomics studies.
目的
本研究旨在确定CT图像放射组学研究中不同扫描仪间变异性的意义。
材料与方法
我们比较了20例非小细胞肺癌（NSCLC）肿瘤的放射组学特征与对一个专门设计的放射组学体模进行17次扫描所计算出的放射组学特征。该体模由10个药筒组成，每个药筒填充不同材料以产生广泛的放射组学特征值。扫描使用来自4个医疗中心的通用电气、飞利浦、西门子和东芝扫描仪，按照其常规胸部成像协议进行。所研究的放射组学特征包括CT值的均值和标准差以及从邻域灰度差矩阵导出的纹理。为了量化不同扫描仪间变异性的意义，我们引入了特征噪声这一度量指标。为了寻找扫描中的模式，我们对每个药筒进行了层次聚类。
结果
体模药筒的17次CT扫描的平均CT值范围为-864至652亨氏单位，而NSCLC肿瘤的CT扫描的范围为-186至35亨氏单位，表明体模的动态范围包括了肿瘤的动态范围。特征值的不同扫描仪间变异性既取决于药筒材料，也取决于特征，并且对于某些特征而言，相对于NSCLC肿瘤患者间的变异性，这种变异性较大。特征的不同扫描仪间噪声在“繁忙度”方面最大，在“纹理强度”方面最小。层次聚类对每个药筒的体模扫描产生了不同的聚类，尽管按扫描仪制造商有一些一致的聚类。
结论
在不同CT扫描仪的CT图像上计算的放射组学特征值的变异性可能与NSCLC肿瘤CT图像中这些特征的变异性相当。应考虑这些不同扫描仪间的差异，并在未来的放射组学研究中尽量减少其影响。
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