Copyright: ©Author(s) 2026.
World J Gastroenterol. Dec 21, 2026; 32(47): 121435
Published online Dec 21, 2026. doi: 10.3748/wjg.121435
Published online Dec 21, 2026. doi: 10.3748/wjg.121435
Table 1 Baseline characteristics of patients in all datasets, mean ± SD/n (%)
| Training set (n = 228) | Internal testing set (n = 57) | Temporally independent validation set (n = 74) | P value | |
| Age (years) | 51.5 ± 12.8 | 55.9 ± 15.0 | 55.2 ± 9.7 | 0.016 |
| Gender | ||||
| Male | 148 (64.9) | 31 (54.4) | 42 (56.8) | 0.218 |
| Female | 80 (35.1) | 26 (45.6) | 32 (43.2) | |
| Etiology | ||||
| Hepatitis B | 113 (49.6) | 18 (31.6) | 39 (52.7) | 0.152 |
| Alcoholic | 24 (10.5) | 8 (14.0) | 11(14.9) | |
| Hepatitis C | 8 (3.5) | 1 (1.8) | 2 (2.7) | |
| Autoimmune | 42 (18.4) | 15 (26.3) | 15 (20.3) | |
| Others | 41 (18.0) | 15 (26.3) | 7 (9.4) | |
| Child-Pugh class | ||||
| Class A | 96 (42.1) | 22 (38.6) | 23 (31.1) | 0.325 |
| Class B | 101 (44.3) | 26 (45.6) | 43 (58.1) | |
| Class C | 31 (13.6) | 9 (15.8) | 8 (10.8) | |
| HVPG (mmHg) | 17.9 ± 7.3 | 16.6 ± 10.3 | 15.9 ± 6.1 | 0.064 |
| HVPG ≤ 5 mmHg | 13 (5.7) | 3 (5.3) | 5 (6.8) | |
| 5 mmHg < HVPG < 10 mmHg | 15 (6.6) | 4 (7.0) | 6 (8.1) | |
| 10 mmHg ≤ HVPG < 12 mmHg | 10 (4.4) | 3 (5.3) | 3 (4.1) | |
| 12 mmHg ≤ HVPG < 16 mmHg | 33 (14.5) | 8 (14.0) | 10 (13.5) | |
| 16 mmHg ≤ HVPG < 20 mmHg | 50 (21.9) | 14 (24.6) | 15 (20.2) | |
| HVPG ≥ 20 mmHg | 107 (46.9) | 25 (43.8) | 35 (47.3) | |
| Ascites | ||||
| Yes | 112 (49.1) | 28 (49.1) | 45 (60.8) | 0.201 |
| No | 116 (50.9) | 29 (50.9) | 29 (39.2) | |
| EGVB | ||||
| Yes | 199 (87.3) | 38 (66.7) | 62 (83.8) | < 0.001 |
| No | 29 (12.7) | 19 (33.3) | 12 (16.2) | |
| Endoscopy therapy | ||||
| No | 77 (33.8) | 29 (50.9) | 33 (44.6) | 0.109 |
| 1-2 sessions | 115 (50.4) | 21 (36.8) | 32 (43.2) | |
| 3 and more sessions | 36 (15.8) | 7 (12.3) | 9 (12.2) | |
| Liver stiffness (kPa) | 17.8 ± 9.0 | 15.2 ± 7.5 | 18.5 ± 7.3 | 0.186 |
| Laboratory tests | ||||
| Platelet (109/L) | 71 ± 45.3 | 88 ± 62.6 | 70 ± 34.8 | 0.030 |
| Total bilirubin (μmol/L) | 27.9 ± 30.6 | 36.9 ± 47.5 | 27.4 ± 25.8 | 0.157 |
| ALT (U/L) | 37 ± 47.3 | 29 ± 27.7 | 35 ± 41.4 | 0.402 |
| AST (U/L) | 49 ± 52.2 | 39 ± 37.3 | 49 ± 49.5 | 0.396 |
| ALP (U/L), median (IQR) | 84 (56.8) | 84 (87.0) | 89 (60.5) | 0.604 |
| γ-GGT (U/L), median (IQR) | 39 (59.8) | 31 (65.0) | 46 (85.5) | 0.440 |
| Albumin (g/L) | 35.1 ± 6.2 | 35.7 ± 7.4 | 32.4 ± 5.1 | 0.002 |
| Globulin (g/L) | 28.5 ± 7.7 | 28.0 ± 7.3 | 30.6 ± 8.2 | 0.087 |
| PT (seconds) | 14.7 ± 2.4 | 14.0 ± 2.5 | 15.3 ± 2.9 | 0.018 |
| INR | 1.3 ± 0.2 | 1.2 ± 0.2 | 1.3 ± 0.3 | 0.080 |
| Blood ammonia (μmol/L) | 69.4 ± 36.7 | 58.8 ± 32.2 | 65.7 ± 36.9 | 0.220 |
Table 2 Overall prediction accuracy of the model at different hepatic venous pressure gradient classification intervals
| Binary classification interval | Ternary classification interval | Quinary classification interval | |||||||||||||
| Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | |
| Training set | 91.8 | 93.1 | 91.9 | 94.6 | 95.4 | 88.1 | 87.3 | 85.3 | 91.4 | 94.0 | 73.1 | 71.9 | 68.8 | 77.4 | 85.0 |
| Internal testing set | 89.9 | 92.3 | 89.1 | 93.9 | 92.4 | 85.2 | 79.7 | 84.1 | 82.8 | 87.6 | 62.9 | 63.7 | 64.5 | 65.7 | 68.6 |
| Temporally independent validation set | 90.4 | 91.3 | 88.5 | 92.3 | 91.3 | 80.8 | 75.0 | 82.7 | 78.8 | 84.6 | 60.6 | 61.5 | 64.4 | 63.5 | 70.2 |
Table 3 Diagnostic performance of the model for different hepatic venous pressure gradient thresholds
| HVPG | Group | Sensitivity (95%CI) | Specificity (95%CI) | PPV (95%CI) | NPV (95%CI) | AUC (95%CI) |
| > 5 mmHg | Training set | 0.999 (0.998, 1.000) | 0.817 (0.798, 0.834) | 0.941 (0.935, 0.947) | 0.998 (0.994, 0.999) | 0.999 (0.999, 1.000) |
| Internal testing set | 0.990 (0.968, 0.997) | 0.389 (0.183, 0.639) | 0.964 (0.935, 0.981) | 0.700 (0.354, 0.919) | 0.956 (0.922, 0.991) | |
| Temporally independent validation set | 0.967 (0.901, 0.992) | 0.500 (0.223, 0.777) | 0.937 (0.862, 0.974) | 0.667 (0.309, 0.910) | 0.951 (0.911, 0.991) | |
| ≥ 10 mmHg | Training set | 0.986 (0.982, 0.989) | 0.970 (0.963, 0.976) | 0.983 (0.979, 0.987) | 0.974 (0.968, 0.980) | 0.998 (0.998, 0.999) |
| Internal testing set | 0.992 (0.970, 0.999) | 0.519 (0.380, 0.655) | 0.909 (0.868, 0.938) | 0.933 (0.765, 0.988) | 0.934 (0.905, 0.962) | |
| Temporally independent validation set | 0.940 (0.859, 0.978) | 0.857 (0.626, 0.962) | 0.963 (0.888, 0.990) | 0.783 (0.558, 0.917) | 0.962 (0.927, 0.996) | |
| ≥ 12 mmHg | Training set | 0.986 (0.982, 0.989) | 0.990 (0.985, 0.993) | 0.993 (0.991, 0.995) | 0.978 (0.972, 0.983) | 0.999 (0.999, 1.000) |
| Internal testing set | 0.996 (0.972, 1.000) | 0.640 (0.531, 0.737) | 0.875 (0.827, 0.912) | 0.983 (0.895, 0.999) | 0.978 (0.965, 0.991) | |
| Temporally independent validation set | 0.912 (0.823, 0.961) | 0.958 (0.769, 0.998) | 0.986 (0.917, 0.999) | 0.767 (0.573, 0.894) | 0.972 (0.943, 1.000) | |
| ≥ 16 mmHg | Training set | 0.938 (0.929, 0.946) | 0.967 (0.961, 0.972) | 0.958 (0.951, 0.965) | 0.951 (0.944, 0.957) | 0.993 (0.992, 0.994) |
| Internal testing set | 0.941 (0.899, 0.967) | 0.853 (0.762, 0.914) | 0.937 (0.894, 0.964) | 0.862 (0.772, 0.921) | 0.955 (0.922, 0.988) | |
| Temporally independent validation set | 0.905 (0.809, 0.958) | 0.833 (0.645, 0.937) | 0.931 (0.839, 0.974) | 0.781 (0.596, 0.901) | 0.932 (0.877, 0.987) | |
| ≥ 20 mmHg | Training set | 0.906 (0.891, 0.919) | 0.969 (0.964, 0.973) | 0.899 (0.883, 0.912) | 0.971 (0.967, 0.975) | 0.992 (0.991, 0.993) |
| Internal testing set | 0.793 (0.730, 0.845) | 0.875 (0.796, 0.927) | 0.920 (0.867, 0.954) | 0.700 (0.616, 0.773) | 0.895 (0.849, 0.940) | |
| Temporally independent validation set | 0.750 (0.575, 0.873) | 0.912 (0.811, 0.964) | 0.818 (0.639, 0.924) | 0.873 (0.768, 0.937) | 0.904 (0.846, 0.961) |
- Citation: Guo X, Tong H, Cai WQ, He JY, Han TR, Qian SJ, Quan X, Li Y, Wei B, Wang ZD, Tai Y, Guo DQ, Wu H. Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases. World J Gastroenterol 2026; 32(47): 121435
- URL: https://www.wjgnet.com/1007-9327/full/v32/i47/121435.htm
- DOI: https://dx.doi.org/10.3748/wjg.121435