©The Author(s) 2025.
World J Clin Oncol. Aug 24, 2025; 16(8): 107306
Published online Aug 24, 2025. doi: 10.5306/wjco.v16.i8.107306
Published online Aug 24, 2025. doi: 10.5306/wjco.v16.i8.107306
Table 1 Distribution of cases by Ki-67 cutoffs
| Cutoff | < cutoff (n) | ≥ cutoff (n) | Total (n) | Exclusion reason |
| 10% | 3 | 869 | 872 | < 1% in < cutoff group |
| 20% | 9 | 863 | 872 | 1% in < cutoff group |
| 30% | 15 | 857 | 872 | < 2% in ≥ cutoff group |
| 40% | 82 | 790 | 872 | Retained |
| 50% | 200 | 672 | 872 | Retained |
| 60% | 301 | 571 | 872 | Retained |
| 70% | 437 | 435 | 872 | Retained |
| 80% | 578 | 294 | 872 | Retained |
| 90% | 728 | 144 | 872 | Retained |
- Citation: Zeng DT, Li MJ, Lin R, Huang WJ, Li SD, Huang WY, Li B, Li Q, Chen G, Jiang JS. Prognostic role of Ki-67 in colorectal carcinoma: Development and evaluation of machine learning prediction models. World J Clin Oncol 2025; 16(8): 107306
- URL: https://www.wjgnet.com/2218-4333/full/v16/i8/107306.htm
- DOI: https://dx.doi.org/10.5306/wjco.v16.i8.107306