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Table 3: The logistic regression models of optimal NPS thresholds
Factors Included in Logistic Regression Model OR (95% CI) AUC (95% CI)
Model 1 
    Volume of NPS 1.3–1.4, per 1-mm³ increase 6.25 (1.90–20.57) 0.884 (0.822–0.945)
    Stenosis degree, per 10% increase 1.99 (1.24–3.19) 
    Remodeling ratio, per 0.1 increase 1.50 (1.08–2.10) 
    Fat-suppressed imaging 2.88 (0.93–8.94) 
Model 2 
    Volumetric summation of NPS no less than 1.2, per 1-mm³ increase 1.30 (1.06–1.58) 0.863 (0.791–0.935)
    Stenosis degree, per 10% increase 1.98 (1.26–3.10) 
    Remodeling ratio, per 0.1 increase 1.45 (1.05–2.00) 
    Fat-suppressed imaging 2.63 (0.89–7.81) 
Model 3^{^a} 
    Stenosis degree, per 10% increase 2.43 (1.61–3.67) 0.806 (0.725–0.887)
    Remodeling ratio, per 0.1 increase 1.51 (1.11–2.06) 
    Fat-suppressed imaging 2.03 (0.73–5.69) 
↵a The AUC of model 3 is significantly lower than those of model 1 (P = .008) and model 2 (P = .027).

Factors Included in Logistic Regression Model	OR (95% CI)	AUC (95% CI)
Model 1
Volume of NPS 1.3–1.4, per 1-mm³ increase	6.25 (1.90–20.57)	0.884 (0.822–0.945)
Stenosis degree, per 10% increase	1.99 (1.24–3.19)
Remodeling ratio, per 0.1 increase	1.50 (1.08–2.10)
Fat-suppressed imaging	2.88 (0.93–8.94)
Model 2
Volumetric summation of NPS no less than 1.2, per 1-mm³ increase	1.30 (1.06–1.58)	0.863 (0.791–0.935)
Stenosis degree, per 10% increase	1.98 (1.26–3.10)
Remodeling ratio, per 0.1 increase	1.45 (1.05–2.00)
Fat-suppressed imaging	2.63 (0.89–7.81)
Model 3^{^a}
Stenosis degree, per 10% increase	2.43 (1.61–3.67)	0.806 (0.725–0.887)
Remodeling ratio, per 0.1 increase	1.51 (1.11–2.06)
Fat-suppressed imaging	2.03 (0.73–5.69)