TABLE 2.

Results of Multiple-Variable Logistic Regression Using Incomplete Rim Enhancement and Number of Lesions Alone or in Combination With Minimum Apparent Diffusion Coefficient (ADC_min) or Average ADC (ADC_avg) for the Diagnosis of Tumefactive Demyelinating Lesions (TDLs)

Factor	Effect	p	Odds Ratio
Multiple-variable logistic regression with ADCmin for identification of a TDLa
ADCmin	10.50	< 0.01	36,152
No. of lesions	0.731	< 0.01	2.079
Incomplete rim enhancement	7.57	< 0.01	1948
Multiple-variable logistic regression with ADCavg for identification of a TDLb
ADCavg	2.30	< 0.01	9.955
No. of lesions	0.554	< 0.01	1.740
Incomplete rim enhancement	5.26	< 0.01	193.3
Multiple-variable logistic regression with incomplete rim enhancement and  no. of lesions (no ADC) for identification of a TDLc
No. of lesions	0.489	< 0.01	1.631
Incomplete rim enhancement	5.34	< 0.01	207.8

Note—All variables have statistically significant effects in the models, which indicates that they are statistically significant factors for identifying TDLs and that all should be factored into diagnostic confidence.

^aOverall model: p < 0.01, intercept = −12.74, AUC = 0.986.

^bOverall model: p < 0.01, intercept = –6.63, AUC = 0.954.

^cOverall model: p < 0.01, intercept = –3.72, AUC = 0.926.