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Four previous articles explored the values of intravoxel incoherent motion DWI [1], DWI texture parameters [2] and MRI radiomics [3], and combined radiomics nomogram [4] in predicting the pathological classification of thymic epithelial tumours, whereas in this manuscript we reported the usefulness of CFPs in differentiating thymic tumours.1. Li GF, Duan SJ, Yan LF et al (2017) Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumours. Oncotarget 8:44579-445922. Li B, Xin YK, Xiao G et al (2019) Predicting pathological subtypes and stages of thymic epithelial tumours using DWI: value of combining ADC and texture parameters. Eur Radiol 29:5330-53403. Xiao G, Rong WC, Hu YC et al (2019) MRI Radiomics Analysis for Predicting the Pathologic Classification and TNM Staging of Thymic Epithelial Tumors: A Pilot Study. AJR Am J Roentgenol. 10.2214\/AJR.19.21696:1-134. Xiao G, Hu YC, Ren JL et al (2020) MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes. Eur Radiol. 10.1007\/s00330-020-07074-3.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"value":"\u2022 Retrospective\u2022 Diagnostic or prognostic study\u2022 Performed at one institution","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}