Copyright
©The Author(s) 2024.
World J Gastroenterol. Sep 28, 2024; 30(36): 4044-4056
Published online Sep 28, 2024. doi: 10.3748/wjg.v30.i36.4044
Published online Sep 28, 2024. doi: 10.3748/wjg.v30.i36.4044
Models | Training cohort | Validation cohort | ||
AUC (95%CI) | P value | AUC (95%CI) | P value | |
Rad-score (liver) | 0.801 (0.727-0.875) | < 0.001 | 0.763 (0.646-0.880) | 0.002 |
Rad-score (spleen) | 0.831 (0.766-0.897) | < 0.001 | 0.792 (0.677-0.906) | 0.016 |
Rad-score (esophagus) | 0.864 (0.807-0.922) | < 0.001 | 0.857 (0.762-0.952) | 0.109 |
Rad-score (liver+ spleen + esophagus) | 0.930 (0.891-0.970) | 0.049 | 0.886 (0.808-0.964) | 0.139 |
Clinical model | 0.727 (0.644-0.811) | < 0.001 | 0.692 (0.556-0.828) | < 0.001 |
RC model | 0.951 (0.919-0.983) | 0.93 (0.872-0.987) |
- Citation: Peng YJ, Liu X, Liu Y, Tang X, Zhao QP, Du Y. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. World J Gastroenterol 2024; 30(36): 4044-4056
- URL: https://www.wjgnet.com/1007-9327/full/v30/i36/4044.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i36.4044