Table 3.

Performance of machine learning models in predicting fibrosis stage

	Radiomics label	AUC	95% CI	Sensitivity (%)	Specificity (%)	Delong Test
F ≥ 1	T 1W	0.844	0.800–0.881	91.87	73.33
	T 2W	0.857	0.815–0.893	73.50	86.67	p a=0.984
	T 1W&T 2W	0.932	0.899–0.957	78.80	97.78	p †<0.05, p ‡<0.05
F ≥ 2	T 1W	0.857	0.815–0.893	73.57	89.11
	T 2W	0.781	0.733–0.825	65.93	83.17	p a<0.05
	T 1W&T 2WFS	0.915	0.880–0.913	85.46	93.07	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.