Table 4.

Multivariate logistic regression of three models for differentiation of fibrotecoma and BLM.

Model	Variables	Weight	OR (95% CI)	P-value
Model 1	Age	− 0.051	0.950 (0.909–0.992)	0.021
	r-T1	− 7.952	0.004 (0.001–0.014)	< 0.001
	r-T2	− 0.882	0.414 (0.225–0.761)	0.005
Model 2	Enhancement	1.901	6.755 (2.477–18.418)	< 0.001
	Stone paving sign	3.109	22.405 (3.359–149.46)	0.001
	Ovary sign	1.566	4.787 (0.937–24.445)	0.043
	Ascites	− 2.394	0.091 (0.014–0.586)	0.012
Model 3	r-T1	− 6.246	0.002 (0.001–0.168)	0.006
	Enhancement	1.561	4.762 (1.696–13.369)	0.003
	Stone paving	2.969	19.475 (2.700–140.47)	0.003
	Ascites	− 2.973	0.051 (0.006–0.431)	0.006

OR odds ratio, AUC Area under curve, SEN sensitivity, SPC specificity, r-T1 relative T1 value, r-T2 relative T2 value.