©Author(s) (or their employer(s)) 2026.
World J Radiol. Feb 28, 2026; 18(2): 116462
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116462
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116462
Table 1 Demographic features of patients with soft-tissue sarcomas receiving surgical resection, n (%)
| Variable | All subjects (n = 638) | Training cohort (n = 447) | Testing cohort (n = 191) | P value |
| Age (year), median (IQR) | 49 (24) | 49 (24) | 47 (26) | 0.524 |
| Age (year) | 0.259 | |||
| < 65 | 528 (82.8) | 365 (81.7) | 163 (85.3) | |
| ≥ 65 | 110 (17.2) | 82 (18.3) | 28 (14.7) | |
| Gender | 0.780 | |||
| Male | 342 (53.6) | 238 (53.2) | 104 (54.5) | |
| Female | 296 (46.4) | 209 (46.8) | 87 (45.5) | |
| Location of primary tumor | 0.140 | |||
| Trunk | 501 (78.5) | 344 (77.0) | 157 (82.2) | |
| Limb | 137 (21.5) | 103 (23.0) | 34 (17.8) | |
| Subtype | 0.454 | |||
| Liposarcoma | 127 (19.9) | 88 (19.7) | 39 (20.4) | |
| Rhabdomyosarcoma | 69 (10.8) | 56 (12.5) | 13 (6.8) | |
| Synovial sarcoma | 69 (10.8) | 48 (10.7) | 21 (11.0) | |
| Undifferentiated sarcoma | 108 (16.9) | 73 (16.3) | 35 (18.3) | |
| Leiomyosarcoma | 111 (17.4) | 77 (17.2) | 34 (17.8) | |
| Fibrosarcoma | 154 (24.1) | 105 (23.5) | 49 (25.7) | |
| Stage | 0.437 | |||
| I | 334 (52.4) | 234 (52.3) | 100 (52.4) | |
| II | 216 (33.9) | 156 (34.9) | 60 (31.4) | |
| III + IV | 88 (13.8) | 57 (12.8) | 31 (16.2) | |
| Maximum diameter of tumor, (cm) | 0.435 | |||
| < 10.0 | 403 (63.2) | 278 (62.2) | 125 (65.4) | |
| ≥ 10.0 | 235 (36.8) | 169 (37.8) | 66 (34.6) | |
| BMI rank | 0.165 | |||
| Underweight | 75 (11.8) | 57 (12.8) | 18 (9.4) | |
| Normal | 426 (66.8) | 301 (67.3) | 125 (65.4) | |
| Overweight | 129 (20.2) | 82 (18.3) | 47 (24.6) | |
| Obese | 8 (1.3) | 7 (1.6) | 1 (0.5) | |
| SII | 0.765 | |||
| < 619.85 | 423 (66.3) | 298 (66.7) | 125 (65.4) | |
| ≥ 619.85 | 215 (33.7) | 149 (33.3) | 66 (34.6) | |
| CRP | 0.838 | |||
| < 5.0 | 518 (81.2) | 362 (81.0) | 156 (81.7) | |
| ≥ 5.0 | 120 (18.8) | 85 (19.0) | 35 (18.3) | |
| CONUT score | 0.792 | |||
| 0-2 | 551 (86.4) | 385 (86.1) | 166 (86.9) | |
| 3-12 | 87 (13.6) | 62 (13.9) | 25 (13.1) | |
| MUST group | 0.355 | |||
| Low risk | 407 (63.8) | 279 (62.4) | 128 (67.0) | |
| Medium risk | 102 (16.0) | 71 (15.9) | 31 (16.2) | |
| High risk | 129 (20.2) | 97 (21.7) | 32 (16.8) | |
| Subcutaneous adiposity | 0.240 | |||
| No | 383 (60.0) | 275 (61.5) | 108 (56.5) | |
| Yes | 255 (40.0) | 172 (38.5) | 83 (43.5) | |
| Visceral adiposity | 0.093 | |||
| No | 313 (49.1) | 229 (51.2) | 84 (44.0) | |
| Yes | 325 (50.9) | 218 (48.8) | 107 (56.0) | |
| Sarcopenia | 0.523 | |||
| No | 315 (49.4) | 217 (48.5) | 98 (51.3) | |
| Yes | 323 (50.6) | 230 (51.5) | 93 (48.7) | |
| CT-derived index, median (IQR) | ||||
| TAI | 89.67 (52.30) | 87.92 (54.07) | 92.30 (50.27) | 0.259 |
| SAI | 46.47 (30.28) | 45.22 (31.66) | 51.20 (27.91) | 0.194 |
| VAI | 36.34 (31.77) | 36.14 (31.18) | 37.85 (33.30) | 0.350 |
| SMI | 45.35 (11.43) | 44.90 (11.63) | 46.35 (10.83) | 0.056 |
| Complication | 0.422 | |||
| No | 481 (75.4) | 341 (76.3) | 140 (73.3) | |
| Yes | 157 (24.6) | 106 (23.7) | 51 (26.7) | |
| Outcomes, median (IQR) | ||||
| Length of hospitalization (day) | 12 (12) | 12 (12) | 10 (10) | 0.093 |
| Progression-free survival (month) | 25 (37) | 26 (37) | 25 (34) | 0.943 |
| Overall survival (month) | 35 (33) | 36 (32) | 32 (32) | 0.129 |
Table 2 Prediction accuracy of nomogram
| Variable | C-index | Brier score | ||||||
| Three-year | Five-year | Three-year | Five-year | |||||
| PFS | Cox selection | RSF selection | Cox selection | RSF selection | Cox selection | RSF selection | Cox selection | RSF selection |
| Training cohort | 0.635 (0.576-0.694) | 0.659 (0.600-0.718) | 0.653 (0.574-0.733) | 0.695 (0.614-0.776) | 23.4 (13.5-33.2) | 22.9 (13.3-32.5) | 22.9 (10.5-35.2) | 22.2 (10.2-34.2) |
| Testing cohort | 0.601 (0.504-0.698) | 0.675 (0.583-0.767) | 0.615 (0.482-0.749) | 0.702 (0.586-0.817) | 23.6 (17.0-30.1) | 22.3 (16.0-28.6) | 23.5 (14.7-32.3) | 21.6 (13.6-29.7) |
| OS | ||||||||
| Training cohort | 0.573 (0.511-0.634) | 0.581 (0.519-0.642) | 0.660 (0.595-0.724) | 0.657 (0.592-0.723) | 22.4 (20.0-24.9) | 22.3 (19.8-24.8) | 18.8 (16.8-20.9) | 18.7 (16.7-20.8) |
| Testing cohort | 0.474 (0.378-0.569) | 0.473 (0.377-0.568) | 0.564 (0.444-0.684) | 0.584 (0.466-0.703) | 25.8 (22.3-29.3) | 25.6 (22.1-29.0) | 19.4 (16.0-22.9) | 19.2 (15.8-22.6) |
- Citation: Yang YH. Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma. World J Radiol 2026; 18(2): 116462
- URL: https://www.wjgnet.com/1949-8470/full/v18/i2/116462.htm
- DOI: https://dx.doi.org/10.4329/wjr.v18.i2.116462
