Data Sheet 1_Comparison of diagnostic accuracy of radiomics parameter maps and standard reconstruction for the detection of liver lesions in computed tomography.xlsx

BackgroundThe liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) is the most frequently employed modality for initial diagnosis. However, liver metastases may only be delineated vaguely on CT. Calculating radiomics features in feature maps can unravel textures not visible to the human eye on a standard CT reconstruction (SCTR). This study aimed to investigate the comparative diagnostic accuracy of radiomics feature maps and SCTR for liver metastases.Materials and methodsForty-seven patients with hepatic metastatic colorectal cancer were retrospectively enrolled. Whole-liver maps of original radiomics features were generated. A representative feature was selected for each feature class based on the visualization of example lesions from five patients. These maps and the conventional CT image data were viewed and evaluated by four readers in terms of liver parenchyma, number of lesions, visual contrast of lesions and diagnostic confidence. T-tests and chi²-tests were performed with a significance cut off of p

背景：肝脏是多种恶性肿瘤转移的常见部位。计算机断层扫描（CT）是首选的初步诊断方法。然而，在CT上肝脏转移瘤可能只能模糊地描绘。通过特征图计算放射组学特征可以揭示在标准CT重建（SCTR）中肉眼无法察觉的纹理。本研究旨在探讨放射组学特征图与SCTR在肝脏转移瘤诊断中的比较诊断准确性。材料与方法：回顾性纳入47例肝转移性结直肠癌患者。生成了原始放射组学特征的全肝脏图。根据五名患者病变例子的可视化，为每个特征类别选择了代表性特征。四位读者对肝脏实质、病灶数量、病灶可视对比度和诊断信心进行了观察和评估。进行了t检验和卡方检验，显著性阈值设置为p值。