Copyright: ©Author(s) 2026.
Artif Intell Cancer. Sep 8, 2026; 7(1): 116464
Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.116464
Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.116464
Table 1 Demographic and clinical characteristics, n (%)/median (interquartile range)
| Variable | Overall (n = 133) |
| Age, years | 15 (4) |
| Gender | |
| Male | 72 (54.1) |
| Female | 61 (45.9) |
| Location | |
| Axial | 21 (15.8) |
| Pelvis | -14 (10.5) |
| Spine | -7 (5.3) |
| Limb | 112 (84.2) |
| Distal femur | -52 (39.1) |
| Proximal tibia | -38 (28.6) |
| Proximal humerus | -14 (10.5) |
| Others | -8 (6.0) |
| Maxium tumor length, cm | 10.0 (7.0) |
| BMI, kg/m2 | 18.36 (4.59) |
| Pre-chemotherapy indexes | |
| VATI, cm2/m2 | 10.13 (11.80) |
| SATI, cm2/m2 | 16.57 (24.05) |
| SMI, cm2/m2 | 34.20 (12.75) |
| SMD, HU | 45.66 (7.72) |
| Albumin, g/L | 43.3 (5.4) |
| Platelet count, 109/L | 238 (141) |
| Neutrophil count, 109/L | 4.07 (3.20) |
| Lymphocyte count, 109/L | 1.57 (0.91) |
| ALP, g/L | 155 (153) |
| SII | 642.6 (689.6) |
| PNI | 51.15 (5.48) |
| Post-chemotherapy indexes | |
| VATI, cm2/m2 | 10.41 (14.15) |
| SATI, cm2/m2 | 17.03 (25.44) |
| SMI, cm2/m2 | 34.05 (11.72) |
| SMD, HU | 44.75 (8.06) |
| Albumin, g/L | 39.9 (7.7) |
| Platelet count, 109/L | 227 (145) |
| Neutrophil count, 109/L | 5.96 (5.13) |
| Lymphocyte count, 109/L | 1.33 (0.90) |
| ALP, g/L | 125 (123) |
| SII | 1240.1 (1341.0) |
| PNI | 46.03 (10.55) |
| ΔVATI, cm2/m2/30 days | 1.29 (5.57) |
| 1.27 (7.94) | |
| ΔSMI, cm2/m2/30 days | 0.68 (3.85) |
| ΔSMD, HU/30 days | 1.01 (3.36) |
| ΔSII, score/30 days | 754.1 (1416.4) |
| ΔPNI, score/30 days | 6.38 (9.16) |
| Histopathological response to neoadjuvant chemotherapy | |
| Non-responder | 20 (15.0) |
| Responder | 113 (85.0) |
Table 2 Results of multivariant logistic regression analysis for the association between changes in body compartment measurements and histopathological response to neoadjuvant chemotherapy
Table 3 Univariable and multivariable analysis for the association between changes in body compartment measurements and overall survival
| Variable | Univariable analysis | Multivariable analysis | ||
| HR (95%CI) | P value | HR (95%CI) | P value | |
| Age | 1.094 (0.949-1.261) | 0.214 | ||
| Gender | 0.528 | |||
| Male | Reference | |||
| Female | 0.788 (0.375-1.654) | |||
| Location | 0.885 | |||
| Trunk | Reference | |||
| Limb | 0.931 (0.354-2.449) | |||
| Maxium tumor length | 1.020 (0.966-1.076) | 0.478 | ||
| BMI | 1.038 (0.948-1.137) | 0.421 | ||
| Pre-chemotherapy indexes | ||||
| VATI | 1.004 (0.974-1.035) | 0.783 | ||
| SATI | 1.000 (0.982-1.019) | 0.966 | ||
| SMI | 1.033 (0.999-1.069) | 0.057 | 1.041 (1.003-1.081) | 0.033 |
| SMD | 1.035 (0.976-1.097) | 0.250 | ||
| ALP | 1.001 (1.000-1.002) | 0.043 | 0.999 (0.997-1.001) | 0.172 |
| SII | 1.000 (1.000-1.001) | 0.138 | ||
| PNI | 0.922 (0.872-0.976) | 0.005 | 0.929 (0.872-0.989) | 0.022 |
| Post-chemotherapy indexes | ||||
| VATI | 1.000 (0.968-1.033) | 0.996 | ||
| SATI | 0.999 (0.980-1.017) | 0.874 | ||
| SMI | 1.018 (0.975-1.062) | 0.418 | ||
| SMD | 1.026 (0.962-1.094) | 0.441 | ||
| ALP | 1.002 (1.001-1.003) | 0.001 | 1.003 (1.001-1.005) | 0.007 |
| SII | 1.000 (1.000-1.000) | 0.385 | ||
| PNI | 1.001 (0.955-1.050) | 0.953 | ||
| ΔVATI | 1.005 (0.940-1.075) | 0.881 | ||
| ΔSATI | 1.036 (0.998-1.076) | 0.063 | 1.010 (0.970-1.051) | 0.634 |
| ΔSMI | 1.032 (0.979-1.088) | 0.240 | ||
| ΔSMD | 1.115 (1.042-1.193) | 0.002 | 1.113 (1.035-1.197) | 0.004 |
| ΔSII | 1.000 (1.000-1.001) | 0.181 | ||
| ΔPNI | 0.970 (0.914-1.029) | 0.313 | ||
Table 4 Kaplan-Meier analysis for the association between independent predictors and overall survival
| Variable | Cut-off point | Group | Median survival time (95%CI) | Log rank test |
| Pre-chemotherapy SMI | 48.86 cm2/m2 | Low | 88.297 (77.206-99.388) | 0.066 |
| High | 64.739 (43.620-85.858) | |||
| Pre-chemotherapy PNI | 50.25 | Low | 72.654 (57.202-88.107) | 0.002 |
| High | 82.702 (73.927-91.478) | |||
| Post-chemotherapy ALP | 380 g/L | Low | 89.401 (78.820-99.981) | 0.012 |
| High | 44.397 (28.647-60.148) | |||
| ΔSMD | 6.27 HU/30 days | Low | 94.657 (86.277-103.037) | 0.001 |
| High | 43.356 (29.130-57.581) | |||
| Integrated index | -1.09 | Low | 94.319 (85.826-102.813) | 0.010 |
| High | 46.988 (33.710-60.267) |
- Citation: Yang YH, Li Y. Prognostic value of early changes in artificial intelligence-based computed tomography-measured body composition in pediatric osteosarcoma receiving neoadjuvant chemotherapy. Artif Intell Cancer 2026; 7(1): 116464
- URL: https://www.wjgnet.com/2644-3228/full/v7/i1/116464.htm
- DOI: https://dx.doi.org/10.35713/aic.v7.i1.116464