Table 4.

Performance of machine learning models in predicting inflammatory activity grading

	Radiomics label	AUC	95% CI	Sensitivity (%)	Specificity (%)	Delong test
A ≥ 1	T 1W	0.831	0.786–0.870	63.86	87.50
	T 2W	0.854	0.811–0.890	75.36	85.33	p a=0.541
	T 1W&T 2W	0.934	0.902–0.959	94.29	85.42	p †<0.05, p ‡<0.05
A ≥ 2	T 1W	0.838	0.794–0.877	91.94	64.10
	T 2W	0.819	0.772–0.859	70.62	70.49	p a=0.155
	T 1W&T 2W	0.910	0.873–0.938	79.83	91.45	p †<0.05, p ‡<0.05

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

^a:p > 0.05 compared to model built with T ₁W；^†:p < 0.05 compared to model built with T ₁W；^‡:p < 0.05 compared to model built with T ₂W.