Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer

Table 4 Model performance for predicting tumor node metastasis stages in esophageal cancer patients

Model	Primary cohort			Validation cohorts
	AUC (95%CI)	SEN (95%CI)	SPE (95%CI)	AUC (95%CI)	SEN (95%CI)	SPE (95%CI)
T2WI	0.788 (0.712, 0.858)	0.75 (0.642, 0.834)	0.746 (0.634, 0.833)	0.779 (0.651, 0.892)	0.667 (0.496, 0.803)	0.8 (0.627, 0.905)
T1WI	0.859 (0.799, 0.919)	0.829 (0.729, 0.897)	0.789 (0.681, 0.868)	0.844 (0.728, 0.941)	0.636 (0.466, 0.778)	0.8 (0.627, 0.905)
Combined	0.877 (0.819, 0.929)	0.842 (0.744, 0.907)	0.761 (0.65, 0.845)	0.851 (0.739, 0.948)	0.697 (0.527, 0.826)	0.8 (0.627, 0.905)

95%CI: 95% confidence interval; T1WI: T1-weighted imaging; T2WI: T2-weighted imaging; AUC: Area under the curve; SEN: Sensitivity; SPE: Specificity.