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©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
Table 4 Predictive performance of different model for KIT exon 11 codons 557-558 deletions
Models | ModelCT sign | ModelCT sign + rad | ModelCT sign + rad + clinic | |||
Cohort | Training | Validation | Training | Validation | Training | Validation |
AUC | 0.667 | 0.610 | 0.842 | 0.782 | 0.872 | 0.795 |
Accuracy | 0.522 | 0.500 | 0.689 | 0.700 | 0.720 | 0.766 |
Sensitivity | 0.949 | 0.824 | 0.974 | 0.824 | 0.923 | 0.667 |
Specificity | 0.385 | 0.396 | 0.598 | 0.660 | 0.656 | 0.796 |
NPV | 0.959 | 0.875 | 0.986 | 0.927 | 0.964 | 0.886 |
PPV | 0.330 | 0.304 | 0.437 | 0.438 | 0.462 | 0.500 |
- 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