Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
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DOI：
10.1148/radiol.2018172361
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发表时间：
2018-08-01
期刊：
影响因子：
19.7
通讯作者：
Sabater, Sebastia
中科院分区：
文献类型：
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作者：
Berenguer, Roberto;del Rosario Pastor-Juan, Maria;Sabater, Sebastia
目的：为了确定可重复的和非冗余的放射组学特征（RF）的计算机断层扫描（CT）。材料和方法：两个phantomy被用来测试RF的可重复性，通过使用测试-重测分析，通过改变CT采集参数（下文中，CT内分析），并通过比较五个不同的扫描仪与相同的CT参数（下文中，CT间分析）。通过使用一致性相关系数（作为变量之间一致性的度量）和变异系数（定义为标准差与平均值的比值）选择可重现的RF。结果：共获得177个RF，包括强度、形状和纹理特征。重测分析表明，91%（161/177）的RF是可重复的一致性相关系数。基于变异系数，CT内RF的重现性范围为89.3%（151/177）至43.1%（76/177），其中分别修改了音高因子和重建内核。基于变异系数的CT间RF的重现性也显示出较大的材料差异，从85.3%（177个中的151个;木材）到仅15.8%（177个中的28个;聚氨酯）。在系统聚类分析后，共发现10个类，每个类中选择一个RF作为代表。如果除视场、管电压和毫安外的所有CT参数都是固定的，则由于冗余，由所分析的RF提供的信息可以仅在10个RF（每个RF代表一个簇）中总结。(c)RSNA，2018
Purpose: To identify the reproducible and nonredundant radiomics features (RFs) for computed tomography (CT).Materials and Methods: Two phantoms were used to test RF reproducibility by using test-retest analysis, by changing the CT acquisition parameters (hereafter, intra-CT analysis), and by comparing five different scanners with the same CT parameters (hereafter, inter-CT analysis). Reproducible RFs were selected by using the concordance correlation coefficient (as a measure of the agreement between variables) and the coefficient of variation (defined as the ratio of the standard deviation to the mean). Redundant features were grouped by using hierarchical cluster analysis.Results: A total of 177 RFs including intensity, shape, and texture features were evaluated. The test-retest analysis showed that 91% (161 of 177) of the RFs were reproducible according to concordance correlation coefficient. Reproducibility of intra-CT RFs, based on coefficient of variation, ranged from 89.3% (151 of 177) to 43.1% (76 of 177) where the pitch factor and the reconstruction kernel were modified, respectively. Reproducibility of inter-CT RFs, based on coefficient of variation, also showed large material differences, from 85.3% (151 of 177; wood) to only 15.8% (28 of 177; polyurethane). Ten clusters were identified after the hierarchical cluster analysis and one RF per cluster was chosen as representative.Conclusion: Many RFs were redundant and nonreproducible. If all the CT parameters are fixed except field of view, tube voltage, and milliamperage, then the information provided by the analyzed RFs can be summarized in only 10 RFs (each representing a cluster) because of redundancy. (c) RSNA, 2018