Table 4.
Three most important features for predicting thymic carcinomas, high-risk TETs or high-risk thymomas
| Thymic carcinoma | ||||
|---|---|---|---|---|
| Top three features | Sensitivity (%) | Specificity (%) | Accuracy (%) | AUC |
| Skewness | 81.0 (17/21) | 75.9 (44/58) | 77.2 (61/79) | 0.828 |
| 58.1-94.6a | 62.8-86.3a | 66.4-85.9a | 0.727-0.904a | |
| Sphericity | 76.2 (16/21) | 79.3 (46/58) | 78.5 (62/79) | 0.739 |
| 52.8-91.8a | 66.6-88.8a | 67.8-86.9a | 0.628-0.831a | |
| GLSZM-gray level non-uniformity | 95.2 (20/21) | 20.7 (12/58) | 40.5 (32/79) | 0.580 |
| 76.2-99.9a | 11.1-33.6a | 29.6-52.1a | 0.464-0.691a | |
| High-risk TET | ||||
| Top three features | Sensitivity (%) | Specificity (%) | Accuracy (%) | AUC |
| Skewness | 90.4 (47/52) | 48.1 (13/27) | 75.9 (60/79) | 0.741 |
| 79.0-96.8a | 28.7-68.1a | 65.0-84.9a | 0.631-0.833a | |
| Kurtosis | 44.2 (23/52) | 77.8 (21/27) | 55.7 (44/79) | 0.596 |
| 30.5-58.7a | 57.7-91.4a | 44.1-66.9 a | 0.480-0.705a | |
| GLSZM-small area emphasis | 51.9 (27/52) | 59.3 (16/27) | 54.4 (43/79) | 0.506 |
| 37.6-66.0a | 38.8-77.6a | 42.8-65.7a | 0.391-0.620a | |
| High-risk thymoma | ||||
| Top three features | Sensitivity (%) | Specificity (%) | Accuracy (%) | AUC |
| Skewness | 83.9 (26/31) | 48.1 (13/27) | 67.2 (39/58) | 0.649 |
| 66.3-94.5a | 28.7-68.1a | 53.7-79.0a | 0.512-0.770a | |
| Surface volume ratio | 35.5 (11/31) | 81.5 (22/27) | 56.9 (33/58) | 0.520 |
| 19.2-54.6a | 61.9-93.7a | 43.2-69.8a | 0.385-0.653a | |
| Kurtosis | 48.4 (15/31) | 77.8 (21/27) | 62.1 (36/58) | 0.616 |
| 30.2-66.9a | 57.7-91.4a | 48.4-74.5a | 0.479-0.741a | |
AUC, area under the receiver operating characteristic curve; GLSZM, gray-level size-zone matrix; TET, thymic epithelial tumor.
a
95% confidence interval.