Copyright: ©Author(s) 2026.
World J Gastroenterol. Jul 7, 2026; 32(25): 119071
Published online Jul 7, 2026. doi: 10.3748/wjg.119071
Published online Jul 7, 2026. doi: 10.3748/wjg.119071
Table 1 Spectral computed tomography enterography scanning parameters
| Manufacturer | General-electric | General-electric |
| Scanner model | Revolution CT | Discovery CT750 |
| Sequence | Axial | Axial |
| Gantry rotation time (second) | 0.3 | 0.3 |
| Tube voltage (kV) | 80-140 | 80-140 |
| Tube current (mA) | 150-300 | 150-300 |
| Detector collimation (mm) | 256 × 0.625 | 64 × 0.625 |
| Matrix | 512 × 512 | 512 × 512 |
| Pitch | 1.375:1 | 1.375:1 |
| Slice thickness (mm) | 5.0 | 5.0 |
| Slice spacing (mm) | 5.0 | 5.0 |
Table 2 Clinical factors in the training and testing sets, mean ± SD
| Clinical factors | Ileal (n = 102) | Ileocolonic (n = 167) | ||||
| Train (n = 71) | Test (n = 31) | P value | Train (n = 116) | Test (n = 51) | P value | |
| Gender | 0.387 | 0.989 | ||||
| Male | 56 | 22 | 82 | 36 | ||
| Female | 15 | 9 | 34 | 15 | ||
| Age at CD diagnosis (year), median IQR | 28 (20-38) | 30 (21-35) | 0.951 | 24 (19-31) | 27 (20-39) | 0.126 |
| Disease duration (day), median IQR | 5 (2-23) | 5 (1-58) | 0.835 | 4 (2-16.75) | 3 (1-15) | 0.446 |
| CRP at baseline (mg/L), median IQR | 5.27 (2.17-17.06) | 4.6 (1.30-19.91) | 0.991 | 13.29 (3.19-36.30) | 9.49 (4.25-25.20) | 0.541 |
| ESR at baseline (mm/hour), median IQR | 16.25 (12.00-25.00) | 22.00 (7.00-36.00) | 0.555 | 30.40 (17.63-43.75) | 16.00 (11.50-31.00) | < 0.001 |
| WBC at baseline (× 109/L) | 6.32 ± 2.09 | 6.31 ± 2.29 | 0.977 | 7.34 ± 2.23 | 6.46 ± 1.78 | 0.02 |
| Alb at baseline (g/L) | 39.66 ± 4.61 | 38.65 ± 4.73 | 0.313 | 37.68 ± 5.88 | 37.36 ± 4.79 | 0.74 |
| FC at baseline (μg/g), median IQR | 762.58 (394.78-1085.72) | 774.94 (429.66-1137.76) | 0.952 | 1086.68 (850.76-1335.94) | 1019.20 (798.78-1263.00) | 0.078 |
| Perianal involvement | 0.641 | 0.667 | ||||
| - | 40 | 19 | 45 | 18 | ||
| + | 31 | 12 | 71 | 33 | ||
| Smoking status at diagnosis | 0.858 | 0.46 | ||||
| - | 64 | 29 | 115 | 49 | ||
| + | 7 | 2 | 1 | 2 | ||
| Previous steroids or immunomodulators use | 0.858 | 0.478 | ||||
| 0 | 46 | 21 | 82 | 32 | ||
| 1 | 21 | 9 | 26 | 16 | ||
| 2 | 4 | 1 | 8 | 3 | ||
| Montreal behavior | 0.355 | 0.811 | ||||
| Nonstricturing, nonpenetrating (B1) | 47 | 20 | 98 | 41 | ||
| Stricturing (B2) | 7 | 6 | 11 | 6 | ||
| Penetrating (B3) | 17 | 5 | 7 | 4 | ||
| HBI at baseline, median IQR | 2 (1-4) | 2 (1-5) | 0.28 | 4 (1-6) | 3 (1-5) | 0.425 |
| MH | 0.871 | 0.971 | ||||
| MH | 31 | 13 | 39 | 17 | ||
| Non-MH | 40 | 18 | 77 | 34 | ||
Table 3 Positive results of univariate and multivariate logistic regression analysis for predicting mucosal healing in Crohn’s disease
| Features | Ileal | Ileocolonic | ||||||||||
| Univariate | Multivariate | Univariate | Multivariate | |||||||||
| OR | 95%CI | P value | OR | 95%CI | P value | OR | 95%CI | P value | OR | 95%CI | P value | |
| Gender | 0.250 | 0.064-0.983 | 0.047 | 0.079 | 0.006-1.061 | 0.055 | 1.908 | 0.834-4.364 | 0.126 | |||
| Age at CD diagnosis | 1.029 | 0.989-1.071 | 0.155 | 1.009 | 0.968-1.053 | 0.662 | ||||||
| Disease duration (day) | 1.000 | 0.997-1.003 | 0.875 | 1.001 | 0.998-1.003 | 0.669 | ||||||
| CRP at baseline | 1.002 | 0.971-1.034 | 0.896 | 1.018 | 1.000-1.036 | 0.051 | 1.010 | 0.987-1.032 | 0.397 | |||
| ESR at baseline | 0.972 | 0.931-1.015 | 0.195 | 1.000 | 0.981-1.019 | 0.997 | ||||||
| WBC at baseline | 0.826 | 0.650-1.049 | 0.117 | 1.078 | 0.904-1.285 | 0.404 | ||||||
| Alb at baseline | 0.880 | 0.785-0.986 | 0.023 | 0.893 | 0.754-1.058 | 0.041 | 0.997 | 0.934-1.065 | 0.931 | |||
| FC at baseline | 0.999 | 0.998-1.000 | 0.142 | 0.999 | 0.998-1.000 | 0.015 | 0.999 | 0.998-1.001 | 0.031 | |||
| Perianal involvement | 0.443 | 0.170-1.159 | 0.095 | 0.247 | 0.051-1.187 | 0.081 | 1.352 | 0.617-2.965 | 0.451 | |||
| Smoking status at diagnosis | 1.037 | 0.214-5.016 | 0.964 | 828993669.358 | 0.000 | 1.000 | ||||||
| Previous steroids or immunomodulators use | 3.491 | 1.096-11.124 | 0.104 | 1.485 | 0.559-3.948 | 0.711 | ||||||
| Montreal behavior | 1.058 | 0.343-3.262 | 0.752 | 3.187 | 0.369-27.570 | 0.566 | ||||||
| HBI at baseline | 0.799 | 0.642-0.966 | 0.059 | 0.935 | 0.629-1.389 | 0.740 | 1.090 | 0.942-1.262 | 0.247 | |||
| Rad score | 1.173 | 1.010-1.363 | 0.037 | 3.820 | 1.541-9.473 | 0.004 | ||||||
| Pat score | 6.135 | 2.282-16.492 | < 0.001 | 3.992 | 2.198-7.250 | < 0.001 | ||||||
Table 4 Results of all models predictive ability for predicting mucosal healing in Crohn’s disease
| Models | AUC (95%CI) | Accuracy | Sensitivity | Specificity | PPV | NPV | |
| Model 1 | Train | 0.921 (0.860-0.982) | 0.859 | 0.925 | 0.774 | 0.841 | 0.889 |
| Test | 0.799 (0.641-0.957) | 0.774 | 0.778 | 0.769 | 0.824 | 0.714 | |
| Model 2 | Train | 0.724 (0.616-0.833) | 0.690 | 0.650 | 0.742 | 0.765 | 0.622 |
| Test | 0.669 (0.486-0.851) | 0.677 | 0.667 | 0.692 | 0.750 | 0.600 | |
| Model 3 | Train | 0.931 (0.874-0.989) | 0.873 | 0.875 | 0.871 | 0.897 | 0.844 |
| Test | 0.863 (0.703-1.000) | 0.742 | 0.611 | 0.923 | 0.917 | 0.632 | |
| Model 4 | Train | 0.773 (0.656-0.889) | 0.747 | 0.725 | 0.774 | 0.806 | 0.895 |
| Test | 0.731 (0.533-0.928) | 0.645 | 0.611 | 0.692 | 0.733 | 0.615 | |
| Model 5 | Train | 0.910 (0.845-0.975) | 0.845 | 0.925 | 0.742 | 0.822 | 0.885 |
| Test | 0.872 (0.744-1.000) | 0.807 | 0.778 | 0.846 | 0.875 | 0.733 | |
| Model 6 | Train | 0.980 (0.955-1.000) | 0.944 | 0.975 | 0.903 | 0.929 | 0.966 |
| Test | 0.915 (0.808-1.000) | 0.774 | 0.833 | 0.692 | 0.790 | 0.750 | |
| Model 7 | Train | 0.860 (0.778-0.942) | 0.803 | 0.925 | 0.871 | 0.882 | 0.896 |
| Test | 0.812 (0.668-0.956) | 0.774 | 0.944 | 0.769 | 0.824 | 0.833 | |
| Model A | Train | 0.873 (0.803-0.944) | 0.819 | 0.805 | 0.846 | 0.912 | 0.659 |
| Test | 0.827 (0.716-0.938) | 0.706 | 0.618 | 0.882 | 0.913 | 0.647 | |
| Model B | Train | 0.756 (0.674-0.839) | 0.675 | 0.714 | 0.615 | 0.722 | 0.522 |
| Test | 0.636 (0.518-0.754) | 0.618 | 0.412 | 0.882 | 0.618 | 0.429 | |
| Model C | Train | 0.951 (0.915-0.988) | 0.922 | 0.961 | 0.846 | 0.925 | 0.917 |
| Test | 0.866 (0.748-0.984) | 0.804 | 0.882 | 0.647 | 0.833 | 0.733 | |
| Model D | Train | 0.739 (0.636-0.842) | 0.776 | 0.896 | 0.744 | 0.793 | 0.724 |
| Test | 0.687 (0.501-0.873) | 0.765 | 0.882 | 0.765 | 0.790 | 0.692 | |
| Model E | Train | 0.919 (0.870-0.968) | 0.836 | 0.792 | 0.923 | 0.953 | 0.784 |
| Test | 0.819 (0.682-0.957) | 0.720 | 0.697 | 0.765 | 0.852 | 0.667 | |
| Model F | Train | 0.951 (0.916-0.987) | 0.897 | 0.896 | 0.897 | 0.945 | 0.814 |
| Test | 0.922 (0.843-1.000) | 0.880 | 0.909 | 0.824 | 0.909 | 0.824 | |
| Model G | Train | 0.950 (0.912-0.988) | 0.871 | 0.844 | 0.923 | 0.956 | 0.750 |
| Test | 0.908 (0.822-0.994) | 0.820 | 0.788 | 0.882 | 0.929 | 0.682 |
Table 5 Delong test comparison between models of area under the curves in the testing set
| Models | P value | |||||||
| Clinical | Radiomics | Pathomics | Radiomics and clinical | Pathomics and clinical | Radiomics and pathomics | Combined | ||
| Clinical | Ileal | 0.259 | 0.121 | 0.623 | 0.029 | 0.003 | 0.001 | |
| Ileocolonic | 0.004 | 0.006 | 0.635 | 0.012 | < 0.001 | < 0.001 | ||
| Radiomics | Ileal | 0.259 | 0.496 | 0.495 | 0.227 | 0.094 | 0.114 | |
| Ileocolonic | 0.004 | 0.626 | 0.087 | 0.905 | 0.209 | 0.297 | ||
| Pathomics | Ileal | 0.121 | 0.496 | 0.245 | 0.890 | 0.503 | 0.203 | |
| Ileocolonic | 0.006 | 0.626 | 0.112 | 0.218 | 0.446 | 0.464 | ||
| Radiomics and clinical | Ileal | 0.623 | 0.495 | 0.245 | 0.122 | 0.044 | 0.119 | |
| Ileocolonic | 0.635 | 0.087 | 0.112 | 0.234 | 0.007 | 0.017 | ||
| Pathomics and clinical | Ileal | 0.029 | 0.227 | 0.890 | 0.122 | 0.321 | 1.000 | |
| Ileocolonic | 0.012 | 0.905 | 0.218 | 0.234 | 0.142 | 0.107 | ||
| Radiomics and pathomics | Ileal | 0.003 | 0.094 | 0.503 | 0.044 | 0.321 | 1.000 | |
| Ileocolonic | < 0.001 | 0.209 | 0.446 | 0.007 | 0.142 | 0.629 | ||
| Combined | Ileal | 0.001 | 0.114 | 0.203 | 0.119 | 1.000 | 1.000 | |
| Ileocolonic | < 0.001 | 0.297 | 0.464 | 0.017 | 0.107 | 0.629 | ||
- Citation: Zhang H, Liu HM, Pei JX, Hu J, Zhu C, Liu KC, Rong C, Zheng XM, Shen Y, Cai YP, Wu XW. Baseline multimodal clinical-radiomics-pathomics model predicts mucosal healing in Crohn’s disease after infliximab therapy. World J Gastroenterol 2026; 32(25): 119071
- URL: https://www.wjgnet.com/1007-9327/full/v32/i25/119071.htm
- DOI: https://dx.doi.org/10.3748/wjg.119071