Radiomics feature robustness as measured using an MRI phantom.

Radiomics feature robustness as measured using an MRI phantom.
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DOI:
10.1038/s41598-021-83593-3
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发表时间:
2021-02-17
期刊:
影响因子:
4.6
通讯作者:
Court LE
Court LE
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lee J;Steinmann A;Ding Y;Lee H;Owens C;Wang J;Yang J;Followill D;Ger R;MacKin D;Court LE

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放射组学涉及从医学图像中高通量提取大量定量特征并分析这些特征以预测患者的结果并支持临床决策。然而,放射组学特征对若干因素敏感,包括扫描协议。本研究的目的是研究磁共振成像(MRI)放射组学特征与各种MRI扫描协议参数和使用MRI放射组学体模的扫描仪的稳健性。使用变异系数和组内相关系数(ICC)的T1和T2加权图像的放射组学特征的变异性与不同的扫描参数和重复性测量使用重测方案进行了评估。对于变异性测量,将特征分为三组:大变异、中等变异和小变异。对于可重复性测量,体模的平均T1和T2加权图像ICC(分别为0.963和0.959)高于健康志愿者(分别为0.856和0.849)。我们的研究结果表明,各种放射组学特征取决于不同的扫描参数和扫描仪。对于体模和志愿者,具有低变异系数和高ICC的放射组学特征可以被认为是MRI放射组学研究的良好候选者。这项研究的结果将有助于当前和未来的MRI放射组学研究。
Radiomics involves high-throughput extraction of large numbers of quantitative features from medical images and analysis of these features to predict patients’ outcome and support clinical decision-making. However, radiomics features are sensitive to several factors, including scanning protocols. The purpose of this study was to investigate the robustness of magnetic resonance imaging (MRI) radiomics features with various MRI scanning protocol parameters and scanners using an MRI radiomics phantom. The variability of the radiomics features with different scanning parameters and repeatability measured using a test–retest scheme were evaluated using the coefficient of variation and intraclass correlation coefficient (ICC) for both T1- and T2-weighted images. For variability measures, the features were categorized into three groups: large, intermediate, and small variation. For repeatability measures, the average T1- and T2-weighted image ICCs for the phantom (0.963 and 0.959, respectively) were higher than those for a healthy volunteer (0.856 and 0.849, respectively). Our results demonstrated that various radiomics features are dependent on different scanning parameters and scanners. The radiomics features with a low coefficient of variation and high ICC for both the phantom and volunteer can be considered good candidates for MRI radiomics studies. The results of this study will assist current and future MRI radiomics studies.
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