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©The Author(s) 2025.
World J Gastroenterol. Jun 7, 2025; 31(21): 105895
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.105895
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.105895
Table 1 Characteristics of patients in the training and validation cohorts, n (%)
Variables | Total (n = 161) | Training (n = 112) | Validation (n = 49) | P value |
Age (years) | 29 (22, 38) | 27 (21, 38) | 31 (24, 38) | 0.308 |
Male gender | 129 (80.1) | 90 (80.4) | 39 (79.6) | 0.999 |
BMI (kg/m²) | 18.70 (16.60, 21.50) | 19.10 (16.60, 21.50) | 17.60 (16.60, 20.10) | 0.282 |
Smoking | 49 (30.4) | 33 (29.5) | 16 (32.7) | 0.827 |
Platelet count (× 109 cells/L) | 299 (299, 368) | 298 (227, 377) | 311 (234, 358) | 0.834 |
Albumin (g/dL) | 35.2 (32.3, 40.1) | 35.2 (32.4, 39.9) | 35.0 (31.7, 40.1) | 0.827 |
ESR (mm/hour) | 40.0 (22.0, 74.0) | 42.0 (22.0,75.0) | 37.0 (23.0,70.0) | 0.887 |
CRP (mg/dL) | 20.2 (5.0, 50.0) | 21.6 (5.4, 49.9) | 17.6 (5.0, 51.2) | 0.779 |
Cr (μmol/L) | 67 (59, 76) | 68 (61, 77) | 66 (58, 74) | 0.309 |
NLR | 4.3 (2.7, 5.8) | 4.3 (2.7, 5.7) | 4.0 (2.7, 6.0) | 0.977 |
CDAI | 159.0 (107.9, 234.2) | 158.7 (99.5, 235.4) | 159.0 (118.0, 230.0) | 0.786 |
Montreal location classification | 0.380 | |||
L1 (ileal disease) | 58 (36.0) | 41 (36.6) | 17 (34.7) | |
L2 (colonic disease) | 15 (9.3) | 13 (11.6) | 2 (4.1) | |
L3 (ileocolonic disease) | 88 (54.7) | 58 (51.8) | 30 (61.2) | |
Montreal behaviour classification | 0.554 | |||
B1 (non stricturing, non-penetrating) | 72 (44.7) | 47 (42.0) | 25 (51.0) | |
B2 (stricturing) | 79 (49.1) | 58 (51.8) | 21 (42.9) | |
B3 (penetrating) | 10 (6.2) | 7 (6.2) | 3 (6.1) | |
Pre-IFX treatment | ||||
SAT area (cm2/m2) | 20.0 (7.9, 33.4) | 21.7 (8.3, 33.4) | 19.2 (7.2, 33.4) | 0.511 |
VAT area (cm2/m2) | 8.1 (3.2, 25.9) | 7.4 (3.2, 24.5) | 9.7 (3.1, 28.0) | 0.790 |
SAT volume (cm3/m3) | 423.2 (166.0, 773.3) | 438.2 (170.7, 758.5) | 359.8 (155.1, 806.2) | 0.901 |
VAT volume (cm3/m3) | 187.3 (83.1, 421.4) | 169.6 (79.15, 410.3) | 214.7 (93.6, 468.1) | 0.866 |
VAT/SAT area ratio (≥ 1) | 45 (28.0) | 28 (25.0) | 17 (34.7) | 0.210 |
VAT/SAT volume ratio (≥ 1) | 27 (16.8) | 19 (17.0) | 8 (16.3) | 0.921 |
Post-IFX treatment | ||||
SAT area (cm2/m2) | 22.7 (12.9, 35.6) | 23.9 (13.7, 39.7) | 19.8 (12.1, 31.7) | 0.068 |
VAT area (cm2/m2) | 11.0 (5.2, 24.9) | 11.7 (6.1, 26.7) | 9.8 (4.2, 20.3) | 0.219 |
SAT volume (cm3/m3) | 310.5 (166.1, 596.4) | 321.5 (181.8, 627.6) | 297.6 (156.8, 535.2) | 0.368 |
VAT volume (cm3/m3) | 436.2 (244.5, 759.9) | 469.1 (272.9, 824.0) | 359.6 (214.8, 626.8) | 0.131 |
VAT/SAT area ratio (≥ 1) | 37 (23.0) | 25 (22.3) | 12 (24.5) | 0.765 |
VAT/SAT volume ratio (≥ 1) | 18 (11.2) | 12 (10.7) | 6 (12.2) | 0.778 |
Table 2 Univariable and multivariable logistic regression analysis for prediction of secondary loss of response to infliximab in Crohn’s disease patients in the training cohort, n (%)
Variables | Non-SLR (n = 74) | SLR (n = 38) | Univariable analysis | Multivariable analysis | ||
OR (95CI) | P value | OR (95%CI) | P value | |||
Age (years) | 27 (21, 38) | 27 (21, 38) | 1.004 (0.677-1.489) | 0.990 | ||
Male gender | 61 (82.4) | 29 (76.3) | 1.456 (0.323-6.573) | 0.603 | ||
BMI (kg/m2) | 19.25 (16.62, 21.10) | 18.95 (16.65, 23.02) | 0.968 (0.292-3.210) | 0.794 | ||
Smoking | 23 (31.1) | 10 (26.3) | 1.263 (0.453-3.521) | 0.760 | ||
Platelet count (× 109 cells/L) | 291 (197, 368) | 323 (272, 406) | 0.997 (0.021-46.938) | 0.049 | 1.005 (1.001-1.008) | 0.011 |
Albumin (g/dL) | 35.7 (32.7, 40.3) | 34.3 (32.3, 39.7) | 1.020 (0.289-3.593) | 0.480 | ||
ESR (mm/hour) | 39.5 (24.0, 74.8) | 47.0 (18.3, 75.5) | 1.000 (0.972-1.029) | 0.703 | ||
CRP (mg/dL) | 22.1 (6.7, 51.2) | 16.1 (5.0, 44.4) | 1.006 (0.116-8.735) | 0.296 | ||
Cr (μmol/L) | 69 (61,78) | 65 (58, 74) | 1.020 (0.078-13.332) | 0.167 | ||
NLR | 4.3 (2.7, 5.7) | 4.3 (3.1, 5.8) | 1.033 (0.360-2.964) | 0.825 | ||
CDAI | 156.5 (98.5, 242.4) | 166.4 (124.8, 233.5) | 1.001 (0.590-1.695) | 0.890 | ||
Montreal location classification | 0.786 (0.090-6.874) | 0.401 | ||||
L1 (ileal disease) | 29 (39.2) | 12 (31.5) | ||||
L2 (colonic disease) | 8 (10.8) | 5 (13.2) | ||||
L3 (ileocolonic disease) | 37 (50.5) | 21 (55.3) | ||||
Montreal behaviour classification | 0.472 (0.007-32.379) | 0.031 | 2.307 (1.108-4.803) | 0.025 | ||
B1 (non stricturing, non-penetrating) | 36 (48.6) | 11 (29.0) | ||||
B2 (stricturing) | 35 (47.3) | 23 (60.5) | ||||
B3 (penetrating) | 3 (4.1) | 4 (10.5) | ||||
Pre-IFX treatment | ||||||
SAT area (cm2/m2) | 21.2 (7.5, 33.4) | 21.7 (9.2, 33.4) | 0.999 (0.873-1.143) | 0.98 | ||
VAT area (cm2/m2) | 6.9 (3.0, 21.6) | 9.7 (3.6, 26.9) | 0.994 (0.320-3.088) | 0.405 | ||
SAT volume (cm3/m3) | 453.3 (165.2, 761.2) | 409.8 (179.3, 745.3) | 1.000 (0.840-1.190) | 0.815 | ||
VAT volume (cm3/m3) | 168.5 (75.5, 394.8) | 234.1 (97.3, 415.2) | 0.999 (0.210-4.761) | 0.424 | ||
VAT/SAT area ratio (≥ 1) | 17 (57.0) | 11 (28.9) | 1.366 (0.353-5.282) | 0.491 | ||
VAT/SAT volume ratio (≥ 1) | 8 (10.8) | 11 (28.9) | 3.361 (0.034-330.690) | 0.016 | 3.977 (1.320-11.980) | 0.014 |
Post-IFX treatment | ||||||
SAT area (cm2/m2) | 26.4 (14.3, 39.8) | 20.2 (12.9, 39.3) | 1.007 (0.272-3.731) | 0.386 | ||
VAT area (cm2/m2) | 11.8 (6.1, 28.6) | 11.1 (6.2, 23.0) | 1.009 (0.222-4.577) | 0.681 | ||
SAT volume (cm3/m3) | 481.9 (289.0, 782.3) | 408.1 (271.2, 836.1) | 1.000 (0.226-4.427) | 0.435 | ||
VAT volume (cm3/m3) | 319.2 (187.9, 624.6) | 434.9 (170.6, 612.7) | 1.000 (0.544-1.838) | 0.975 | ||
VAT/SAT area ratio (≥ 1) | 18 (24.3) | 7 (18.4) | 0.703 (0.175-2.815) | 0.479 | ||
VAT/SAT volume ratio (≥ 1) | 6 (8.1) | 6 (15.8) | 2.125 (0.193-23.398) | 0.215 |
Table 3 Performance of models for predicting secondary loss of response in the training and validation cohorts
AUC (95%CI) | Sensitivity | Specificity | PPV | NPV | P alue1 | Accuracy | |
Training cohort (n = 112) | |||||||
Clinical model | 0.767 (0.678-0.857) | 85.1% (63/74) | 36.8% (14/38) | 72.4% (63/87) | 56.0% (14/25) | - | 68.8% (77/112) |
Radiomics model | 0.816 (0.737-0.896) | 86.5% (64/74) | 47.4% (18/38) | 76.2% (64/84) | 64.3% (18/28) | 0.133 | 73.2% (82/112) |
Combined model | 0.853 (0.786-0.921) | 85.1% (63/74) | 52.6% (20/38) | 77.8% (63/81) | 64.5% (20/31) | 0.023 | 74.1% (83/112) |
Validation cohort (n = 49) | |||||||
Clinical model | 0.707 (0.539-0.876) | 96.97% (32/33) | 31.3% (5/16) | 74.4% (32/43) | 83.3% (5/6) | - | 79.9% (37/49) |
Radiomics model | 0.750 (0.605-0.895) | 84.8% (28/33) | 50.0% (8/16) | 77.8% (28/36) | 61.5% (8/13) | 0.204 | 73.5% (36/49) |
Combined model | 0.812 (0.677-0.948) | 93.9% (31/33) | 50.0% (8/16) | 79.5% (31/39) | 80.0% (8/10) | 0.048 | 79.6% (39/49) |
- Citation: Li X, Song FL, He HF, Zeng SM, Feng ZC, Rong PF. Longitudinal computed tomography-based delta-radiomics of visceral adipose tissue predicts infliximab secondary loss of response in Crohn’s disease patients. World J Gastroenterol 2025; 31(21): 105895
- URL: https://www.wjgnet.com/1007-9327/full/v31/i21/105895.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i21.105895