Table 3.

Performance of the proposed model for predicting the pT stage in the training and validation sets.

	Training Set
Selected Features	Class	Sensitivity	Specificity	Accuracy [95% CI]	AUC [95% CI]
Model1: -MR-based DOI -MR-based Dimension	Overall	0.86	0.93	0.86 [0.78,0.92]	0.88 [0.81,0.92]
	By class
	T1	0.95	0.89	0.95
	T2	0.70	0.96	0.70
	T3	0.93	0.94	0.93
	Validation Set
Selected Features	Class	Sensitivity	Specificity	Accuracy [95% CI]	AUC [95% CI]
Model1: -MR-based DOI -MR-based Dimension	Overall	0.77	0.89	0.81 [0.64,0.91]	0.79 [0.66,0.88]
	By class
	T1	0.71	0.93	0.71
	T2	0.64	0.92	0.64
	T3	0.94	0.83	0.94

AUC, area under the curve; CI, confidence interval.