Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

Table 4 Diagnostic performance of the conventional magnetic resonance imaging model, radiomics model, and nomogram

Data set	Model	AUC (95%CI)	Sensitivity, %	Specificity, %	Accuracy, %
Training cohort	Conventional MRI model	0.82 (0.76, 0.87)	75.0	80.0	77.8
	T1WI radiomics model	0.83 (0.79, 0.87)	59.5	82.6	73.5
	T2WI radiomics model	0.85 (0.79, 0.91)	63.1	93.0	79.0
	T1WI & T2WI Radiomics model	0.89 (0.84, 0.93)	74.3	86.1	81.5
	Nomogram model	0.92 (0.84, 0.99)	72.2	91.1	82.8
Validation cohort	Conventional MRI model	0.80 (0.76, 0.83)	71.0	78.8	75.7
	T1WI radiomics model	0.81 (0.75, 0.86)	60.5	83.7	72.8
	T2WI radiomics model	0.84 (0.80, 0.88)	62.2	87.0	77.2
	T1WI & T2WI Radiomics model	0.86 (0.79, 0.92)	65.8	90.7	79.0
	Nomogram model	0.91 (0.81, 0.96)	81.6	86.7	84.7

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval; MRI: Magnetic resonance imaging; T1WI: T1-weighted imaging; T2WI: T2-weighted imaging.