Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Apr 15, 2024; 16(4): 1296-1308
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1296
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1296
Models | ModelCT sign | ModelCT sign + rad | ModelCT sign + rad + clinic | |||
Cohort | Training | Validation | Training | Validation | Training | Validation |
AUC | 0.743 | 0.670 | 0.818 | 0.781 | 0.915 | 0.811 |
Accuracy | 0.673 | 0.643 | 0.753 | 0.714 | 0.833 | 0.794 |
Sensitivity | 0.815 | 0.672 | 0.667 | 0.690 | 0.938 | 0.830 |
Specificity | 0.531 | 0.500 | 0.840 | 0.833 | 0.728 | 0.600 |
NPV | 0.741 | 0.240 | 0.716 | 0.357 | 0.922 | 0.400 |
PPV | 0.635 | 0.867 | 0.806 | 0.952 | 0.776 | 0.917 |
- Citation: Yin XN, Wang ZH, Zou L, Yang CW, Shen CY, Liu BK, Yin Y, Liu XJ, Zhang B. Computed tomography radiogenomics: A potential tool for prediction of molecular subtypes in gastric stromal tumor. World J Gastrointest Oncol 2024; 16(4): 1296-1308
- URL: https://www.wjgnet.com/1948-5204/full/v16/i4/1296.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i4.1296