Additional file 2 of Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Preoperative_CT-based_radiomics_combined_with_tumour_spread_through_air_spaces_can_accurately_predict_early_recurrence_of_stage_I_lung_adenocarcinoma_a_multicentre_retrospective_cohort_study/26615662/1
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Additional file 2: Supplementary table 1. The STAS status and clinical outcome of enrolled patients. Supplementary table 2. Radiomic features extracted from ROI-tumoral by Pyradiomics. Supplementary table 3. Radiomic features extracted from ROI-3u by Pyradiomics. Supplementary table 4. Radiomic features extracted from ROI-6u by Pyradiomics. Supplementary table 5. Radiomic features extracted from ROI-12u by Pyradiomics. Supplementary table 6. 2D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 7. 3D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 8. The final features in the six signature models selected by LASSO-COX regression and the weight of them. Supplementary table 9. The results of DeLong’s test in different models.
提供机构:
Song, Zhenchun; Ding, Yun; Liu, Xin; Li, Xin; Ren, Jie; Jia, Xiaoteng; Zhang, Han; Wang, Yuhang; Li, Jiuzhen; Xu, Meilin; Sun, Daqiang
创建时间:
2024-08-13



