Copyright
©The Author(s) 2020.
World J Gastroenterol. Sep 7, 2020; 26(33): 5008-5021
Published online Sep 7, 2020. doi: 10.3748/wjg.v26.i33.5008
Published online Sep 7, 2020. doi: 10.3748/wjg.v26.i33.5008
Table 3 Diagnostic performance of the three models in both training and validation cohorts
Training set | Validation set | ||||||
1Time | Rad-score | Clinical | Combined | Rad-score | Clinical | Combined | |
3-yr | AUC | 0.709 | 0.782 | 0.842 | 0.687 | 0.766 | 0.802 |
SEN | 88.89% | 88.33% | 91.67% | 80% | 100% | 86.67% | |
SPE | 42.67% | 58.21% | 70.15% | 56.67% | 50% | 80% | |
2-yr | AUC | 0.700 | 0.760 | 0.816 | 0.609 | 0.720 | 0.691 |
1-yr | AUC | 0.614 | 0.771 | 0.769 | 0.545 | 0.742 | 0.632 |
- Citation: Li M, Zhu YZ, Zhang YC, Yue YF, Yu HP, Song B. Radiomics of rectal cancer for predicting distant metastasis and overall survival. World J Gastroenterol 2020; 26(33): 5008-5021
- URL: https://www.wjgnet.com/1007-9327/full/v26/i33/5008.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i33.5008