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©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 2 Distribution of patients by Ki-67 cutoff and exclusion criteria.
Cutoff | < cutoff (n) | ≥ cutoff (n) | Total (n) | Exclusion reason |
20% | 2 | 206 | 208 | < 1% in < cutoff group |
30% | 6 | 202 | 208 | < 3% in < cutoff group |
40% | 54 | 154 | 208 | Retained |
50% | 117 | 91 | 208 | Retained |
60% | 165 | 43 | 208 | Retained |
70% | 190 | 18 | 208 | Retained |
80% | 204 | 4 | 208 | < 2% in ≥ cutoff group |
20% | 2 | 206 | 208 | < 1% in < cutoff group |
30% | 6 | 202 | 208 | < 3% in < cutoff group |
- 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