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©The Author(s) 2023.
World J Gastrointest Oncol. Jul 15, 2023; 15(7): 1271-1282
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
Table 3 Sensitivity, specificity, and accuracy in histology prediction during the pretraining test and posttraining test
| Group | Pretraining test (95%CI) | Posttraining test (95%CI) | P value |
| LEE | |||
| Sensitivity | 57.6 (48.5-66.4) | 75.5 (67.0-82.4) | 0.004 |
| Specificity | 72.3 (61.8-80.5) | 82.4 (74.2-88.5) | 0.032 |
| Accuracy | 64.2 (56.4-70.3) | 80.2 (71.3-87.6) | < 0.001 |
| HEE | |||
| Sensitivity | 71.2 (60.4-80.1) | 80.4 (71.6-88.1) | 0.043 |
| Specificity | 82.1 (73.8-88.2) | 88.2 (81.5-95.3) | 0.223 |
| Accuracy | 76.5 (69.3-83.6) | 86.0 (80.2-91.7) | 0.071 |
- Citation: Wang YD, Wu J, Huang BY, Guo CM, Wang CH, Su H, Liu H, Wang MM, Wang J, Li L, Ding PP, Meng MM. Development and validation of an online calculator to predict the pathological nature of colorectal tumors. World J Gastrointest Oncol 2023; 15(7): 1271-1282
- URL: https://www.wjgnet.com/1948-5204/full/v15/i7/1271.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v15.i7.1271