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 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