Copyright
©The Author(s) 2025.
World J Gastroenterol. Jan 21, 2025; 31(3): 102283
Published online Jan 21, 2025. doi: 10.3748/wjg.v31.i3.102283
Published online Jan 21, 2025. doi: 10.3748/wjg.v31.i3.102283
Model | Training cohort (n = 55) | Test cohort (n = 18) | ||||||
AUC (95%CI) | ACC | SENS | SPEC | AUC (95%CI) | ACC | SENS | SPEC | |
Clinical model | 0.917 (0.828-1.000) | 0.891 | 0.895 | 0.889 | 0.854 (0.678-1.000) | 0.778 | 1.000 | 0.667 |
Radiomic model | 0.959 (0.887-1.000) | 0.964 | 0.947 | 0.972 | 0.944 (0.843-1.000) | 0.889 | 0.833 | 0.917 |
Nomogram | 0.961 (0.886-1.000) | 0.964 | 0.947 | 0.972 | 0.958 (0.877-1.000) | 0.889 | 1.000 | 0.833 |
- Citation: Ding H, Fang YY, Fan WJ, Zhang CY, Wang SF, Hu J, Han W, Mei Q. Computed tomography enterography-based radiomics for assessing mucosal healing in patients with small bowel Crohn's disease. World J Gastroenterol 2025; 31(3): 102283
- URL: https://www.wjgnet.com/1007-9327/full/v31/i3/102283.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i3.102283