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Quantitative image feature variability amongst CT scanners with a controlled scan protocol

机译:具有受控扫描协议的CT扫描仪中的定量图像特征可变性

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Radiomics studies often analyze patient computed tomography (CT) images acquired from different CT scanners. This may result in differences in imaging parameters, e.g. different manufacturers, different acquisition protocols, etc. However, quantifiable differences in radiomics features can occur based on acquisition parameters. A controlled protocol may allow for minimization of these effects, thus allowing for larger patient cohorts from many different CT scanners. In order to test radiomics feature variability across different CT scanners a radiomics phantom was developed with six different cartridges encased in high density polystyrene. A harmonized protocol was developed to control for tube voltage, tube current, scan type, pitch, CTDI_(vol), convolution kernel, display field of view, and slice thickness across different manufacturers. The radiomics phantom was imaged on 18 scanners using the control protocol. A linear mixed effects model was created to assess the impact of inter-scanner variability with decomposition of feature variation between scanners and cartridge materials. The inter-scanner variability was compared to the residual variability (the unexplained variability) and to the inter-patient variability using two different patient cohorts. The patient cohorts consisted of 20 non-small cell lung cancer (NSCLC) and 30 head and neck squamous cell carcinoma (HNSCC) patients. The inter-scanner standard deviation was at least half of the residual standard deviation for 36 of 49 quantitative image features. The ratio of inter-scanner to patient coefficient of variation was above 0.2 for 22 and 28 of the 49 features for NSCLC and HNSCC patients, respectively. Inter-scanner variability was a significant factor compared to patient variation in this small study for many of the features. Further analysis with a larger cohort will allow more thorough analysis with additional variables in the model to truly isolate the inter-scanner difference.
机译:辐射瘤研究通常分析从不同CT扫描仪获取的患者计算机断层扫描(CT)图像。这可能导致成像参数的差异,例如成像参数。然而,不同的制造商,不同的采集协议等,可以基于采集参数发生的辐射族特征的量化差异。受控方案可以允许最小化这些效果,从而允许来自许多不同CT扫描仪的较大的患者群体。为了测试跨不同CT扫描仪的辐射瘤功能可变性,用六种不同的盒式粘合剂在高密度聚苯乙烯中形成了辐射瘤。开发了一个统一的协议,用于控制管电压,管电流,扫描型,音高,CTDI_(Vol),卷积核,显示视野以及不同制造商的切片厚度。使用控制协议,在18个扫描仪上成像杂色物幻像。创建了线性混合效果模型,以评估扫描仪间变异性的影响与扫描仪和盒材料之间的特征变化的分解。将扫描间变异性与剩余变异性(不可解释的变异性)进行比较,以及使用两种不同的患者群体的患者间变异性。患者群组由20个非小细胞肺癌(NSCLC)和30个头颈鳞状细胞癌(HNSCC)患者组成。扫描仪间标准偏差是49个定量图像特征的36个残余标准偏差的至少一半。对于NSClC和HNSCC患者的49个特征,扫描仪与患者变异系数的比例高于0.2°以下。与患者变异相比,扫描间变异性是与此小型研究中的许多特征相比的重要因素。使用较大的队列进行进一步分析将允许更彻底的分析在模型中具有额外的变量,以真正隔离扫描间差异。

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