Medical Physics Department, Veneto Institute of Oncology - IOV IRCCS, Padova, Italy.
Department of Information Engineering, University of Padova, Padova, Italy.
Sci Data. 2022 Nov 12;9(1):695. doi: 10.1038/s41597-022-01715-6.
In radiology and oncology, radiomic models are increasingly employed to predict clinical outcomes, but their clinical deployment has been hampered by lack of standardisation. This hindrance has driven the international Image Biomarker Standardisation Initiative (IBSI) to define guidelines for image pre-processing, standardise the formulation and nomenclature of 169 radiomic features and share two benchmark digital phantoms for software calibration. However, to better assess the concordance of radiomic tools, more heterogeneous phantoms are needed. We created two digital phantoms, called ImSURE phantoms, having isotropic and anisotropic voxel size, respectively, and 90 regions of interest (ROIs) each. To use these phantoms, we designed a systematic feature extraction workflow including 919 different feature values (obtained from the 169 IBSI-standardised features considering all possible combinations of feature aggregation and intensity discretisation methods). The ImSURE phantoms will allow to assess the concordance of radiomic software depending on interpolation, discretisation and aggregation methods, as well as on ROI volume and shape. Eventually, we provide the feature values extracted from these phantoms using five open-source IBSI-compliant software.
在放射学和肿瘤学领域，越来越多地使用放射组学模型来预测临床结果，但由于缺乏标准化，其临床应用受到了阻碍。这一障碍促使国际影像生物标志物标准化倡议（IBSI）定义了图像预处理的指南，标准化了 169 个放射组学特征的表述和命名，并共享了两个用于软件校准的基准数字体模。然而，为了更好地评估放射组学工具的一致性，需要更多异质的体模。我们创建了两个数字体模，分别称为 ImSURE 体模，具有各向同性和各向异性体素大小，每个体模各有 90 个感兴趣区（ROI）。为了使用这些体模，我们设计了一个系统的特征提取工作流程，包括 919 种不同的特征值（从考虑所有特征聚合和强度离散化方法的组合的 169 个 IBSI 标准化特征中获得）。ImSURE 体模将能够根据插值、离散化和聚合方法以及 ROI 体积和形状来评估放射组学软件的一致性。最后，我们使用五个符合 IBSI 标准的开源软件提供了从这些体模中提取的特征值。
