Copyright
©The Author(s) 2021.
World J Gastroenterol. Jan 14, 2021; 27(2): 189-207
Published online Jan 14, 2021. doi: 10.3748/wjg.v27.i2.189
Published online Jan 14, 2021. doi: 10.3748/wjg.v27.i2.189
Prediction model | Training cohort C-index (95%CI) | Validation cohortC-index (95%CI) | P value | |||
3 vs 1 | 3 vs 2 | 3 vs 4 | vs 5 | |||
1 Clinical model | 0.643 (0.613-0.712) | 0.629 (0.601-0.678) | 0.025a/0.023b | 0.003a/0.002b | 0.007a/0.006b | 0.009a/0.004b |
2 Radiomics score | 0.723 (0.634-0.778) | 0.734 (0.641-0.793) | ||||
3 CT-based radiomics nomogram | 0.844 (0.762-0.901) | 0.831 (0.742-0.881) | ||||
4 ART score | 0.714 (0.632-0.771) | 0.690 (0.601-0.761) | ||||
5 ABCR score | 0.732 (0.646-0.801) | 0.701 (0.632-0.789) |
- Citation: Niu XK, He XF. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma. World J Gastroenterol 2021; 27(2): 189-207
- URL: https://www.wjgnet.com/1007-9327/full/v27/i2/189.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i2.189