Table S1. MRI sequences and parameters. “Detailed MR imaging sequences and parameters are provided in Table S1.” Table S2. Selected radiomics features and their coefficients. “In total, 13 radiomics features with non-zero coefficients (2 features from T2-weighted images, 6 features from arterial phase images and 5 features from HBP images) were selected to calculate the radiomics score using the formula described in Table S2.” Part 2b. Detailed name and description of the selected radiomics features. “The name and description of the selected features can be found in Part 2b.” Part 3. The R software packages used for statistical analysis. “The packages in R that were used in this study are listed in Part 3.” (DOCX 120 kb
Details of methodology and results which were not shown in the manuscript. (DOCX 25 kb
Hepatocellular carcinoma (HCC) is the most common form of liver cancer. Radiomics is a promising too...
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has poor prognosi...
Table S1. Selected features for CT image in different phases. Table S2. Detailed information of the ...
Detailed introduction of calibration curves and decision curves, category-free Net Reclassification ...
Figure S2. The process of radiomics and the use of radioimics in decision support. (a) The acquisiti...
Background: Radiomics has emerged as a new approach that can help identify imaging information assoc...
PURPOSE: To evaluate the usefulness of the radiomic model in predicting early (≤2 years) and late (>...
BackgroundPost-hepatectomy liver failure (PHLF) is a fatal complication after liver resection in pat...
Histopathologic grade of hepatocellular carcinoma (HCC) is an important predictor of early recurrenc...
Additional file 1: Supplementary Table 1. CECT quadriphasic liver protocol (Aquilion 64). Supplement...
MRI scan protocols 1.5 Tesla and 3 Tesla Ingenia. Both scanning protocols of 1.5âT and 3âT Ingen...
Table S1. Association between rad-score and clinicopathological features in training cohort (DOCX 25...
Additional file 1: Supplementary methods A1-A13. Figures S1-S8. Tables S1-S11. Methods A1. Inclusion...
Background: To study the additive value of radiomics features to the BCLC staging system in clusteri...
Details of methodology and results which were not shown in the manuscript. (DOCX 25 kb
Hepatocellular carcinoma (HCC) is the most common form of liver cancer. Radiomics is a promising too...
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has poor prognosi...
Table S1. Selected features for CT image in different phases. Table S2. Detailed information of the ...
Detailed introduction of calibration curves and decision curves, category-free Net Reclassification ...
Figure S2. The process of radiomics and the use of radioimics in decision support. (a) The acquisiti...
Background: Radiomics has emerged as a new approach that can help identify imaging information assoc...
PURPOSE: To evaluate the usefulness of the radiomic model in predicting early (≤2 years) and late (>...
BackgroundPost-hepatectomy liver failure (PHLF) is a fatal complication after liver resection in pat...
Histopathologic grade of hepatocellular carcinoma (HCC) is an important predictor of early recurrenc...
Additional file 1: Supplementary Table 1. CECT quadriphasic liver protocol (Aquilion 64). Supplement...
MRI scan protocols 1.5 Tesla and 3 Tesla Ingenia. Both scanning protocols of 1.5âT and 3âT Ingen...
Table S1. Association between rad-score and clinicopathological features in training cohort (DOCX 25...
Additional file 1: Supplementary methods A1-A13. Figures S1-S8. Tables S1-S11. Methods A1. Inclusion...
Background: To study the additive value of radiomics features to the BCLC staging system in clusteri...
Details of methodology and results which were not shown in the manuscript. (DOCX 25 kb
Hepatocellular carcinoma (HCC) is the most common form of liver cancer. Radiomics is a promising too...
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has poor prognosi...