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©The Author(s) 2025.
World J Gastrointest Oncol. Jun 15, 2025; 17(6): 106608
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106608
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106608
Table 3 Comparative analysis of models in internal validation set
Model 1 | Model 2 | Net reclassification improvement | P value | Integrated discrimination improvement | P value |
The tumor-only model | Combined | 0.261 | 0.021 | 0.493 | < 0.0001 |
The 5 mm peri-tumor model | Combined | 0.321 | 0.002 | 0.353 | < 0.0001 |
The 10 mm peri-tumor model | Combined | 0.292 | 0 | 0.166 | 0.00033 |
The tumor-peri-tumor 5 mm model | Combined | 0.189 | 0.049 | 0.166 | 0.00052 |
The tumor-peri-tumor 10 mm model | Combined | 0.220 | 0.02 | 0.231 | 0.00311 |
- Citation: Li YH, Qian GX, Yao L, Lei XD, Zhu Y, Tang L, Xu ZL, Bu XY, Wei MT, Lu JL, Jia WD. Preoperative model for predicting early recurrence in hepatocellular carcinoma patients using radiomics and deep learning: A multicenter study. World J Gastrointest Oncol 2025; 17(6): 106608
- URL: https://www.wjgnet.com/1948-5204/full/v17/i6/106608.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v17.i6.106608