Copyright: ©Author(s) 2026.
World J Radiol. Mar 28, 2026; 18(3): 117599
Published online Mar 28, 2026. doi: 10.4329/wjr.v18.i3.117599
Published online Mar 28, 2026. doi: 10.4329/wjr.v18.i3.117599
Figure 1 Representative computed tomography scan at the third lumbar vertebra (L3) level, illustrating regions annotated with Slice-O-Matic software.
Figure 2 Nomogram illustrating the combined prediction model.
IMAT: Intramuscular adipose tissue; SAT: Subcutaneous adipose tissue; HB: Hemoglobin; CRP: C-reactive protein.
Figure 3 Receiver operating characteristic curves of clinical, radiomics, and combined models in the training and validation cohorts.
AUC: Area under the curve; CI: Confidence interval.
Figure 4 Calibration curves for the combined model.
Figure 5 Decision curve analysis for each model.
- Citation: Zhang XY, Li YK, Tian ZB, Guo QY, Liu JN, Liu RQ, Ren KY. Predictive model for vedolizumab efficacy in moderate-to-severe ulcerative colitis based on computed tomography-derived body compositions and nutritional inflammatory markers. World J Radiol 2026; 18(3): 117599
- URL: https://www.wjgnet.com/1949-8470/full/v18/i3/117599.htm
- DOI: https://dx.doi.org/10.4329/wjr.v18.i3.117599
