Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies.

Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies.
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DOI:
10.1038/s41598-018-31509-z
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发表时间:
2018-08-29
期刊:
影响因子:
4.6
通讯作者:
Mackin DS
Mackin DS
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Ger RB;Zhou S;Chi PM;Lee HJ;Layman RR;Jones AK;Goff DL;Fuller CD;Howell RM;Li H;Stafford RJ;Court LE;Mackin DS

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放射组学在改善预测患者结局的模型方面显示出了希望。然而,为了最大化放射组学特征的信息增益,特别是在较大的患者队列中,必须考虑由于扫描仪和扫描协议之间的差异而导致的放射组学特征的可变性。为此,在35家诊所的100台计算机断层扫描仪上,通过使用受控协议和当地诊所常用的胸部和头部协议对放射组体模进行成像,评价放射组学特征值的成像变异性。我们使用线性混合效应模型来确定制造商和单个扫描仪对整体可变性的贡献程度。与局部胸部和头部方案相比,使用受控方案将总体变异性分别降低了57%和52%。受控方案还降低了制造商对总变异性的相对贡献。对于几乎所有变异性(制造商、扫描仪和不同预处理的残差),受控协议扫描的变异性显著小于本地协议扫描。对于大多数放射组学特征,相对于非小细胞肺癌和头颈部鳞状细胞癌患者队列中的患者间特征变异性,成像变异性较小。从这项研究中,我们得出结论,使用控制扫描可以减少放射组学特征的变异性,我们的研究结果表明,在前瞻性放射组学研究中使用控制协议的重要性。
Radiomics has shown promise in improving models for predicting patient outcomes. However, to maximize the information gain of the radiomics features, especially in larger patient cohorts, the variability in radiomics features owing to differences between scanners and scanning protocols must be accounted for. To this aim, the imaging variability of radiomics feature values was evaluated on 100 computed tomography scanners at 35 clinics by imaging a radiomics phantom using a controlled protocol and the commonly used chest and head protocols of the local clinic. We used a linear mixed-effects model to determine the degree to which the manufacturer and individual scanners contribute to the overall variability. Using a controlled protocol reduced the overall variability by 57% and 52% compared to the local chest and head protocols respectively. The controlled protocol also reduced the relative contribution of the manufacturer to the total variability. For almost all variabilities (manufacturer, scanner, and residual with different preprocesssing), the controlled protocol scans had a significantly smaller variability than the local protocol scans did. For most radiomics features, the imaging variability was small relative to the inter-patient feature variability in non–small cell lung cancer and head and neck squamous cell carcinoma patient cohorts. From this study, we conclude that using controlled scans can reduce the variability in radiomics features, and our results demonstrate the importance of using controlled protocols in prospective radiomics studies.
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