Classification Tables for the Multivariate Binary Logistic Regression Models and Corresponding Diagnostic Performance Indicators.

	DSA=0	DSA =0	DSA=1	DSA =1	Sensitivity	Specificity	PPV	NPV
Assessment of presence of DAVF	Predicted = 0 (TN) †	Predicted = 1 (FP) †	Predicted = 0 (FN) †	Predicted = 1 (TP) †	[95% C.I. in %]‡	[95% C.I. in %]‡	[95% C.I. in %]‡	[95% C.I. in %]‡
Structural MRI Alone	227	7	51	25	32.89% [22.33 – 43.46]	97.01% [94.83 – 99.19]	78.13% [63.80 – 92.45]	81.65% [77.10 – 86.20]
Structural MRI plus TOF MRA	219	3	17	53	75.71% [65.67 – 85.76]	98.65% [97.13 – 100.17]	94.64% [88.75 – 100.54]	92.80% [89.50 – 96.10]
Structural MRI plus TOF MRA plus ASL	214	8	8	62	88.57% [81.12 – 96.02]	96.40% [93.94 – 98.85]	88.57% [81.12 – 96.02]	96.40% [93.94 – 98.85]

^†Classification table was generated for a probability value of p=0.5 for each of the three multivariate models.

^‡There is a 95% chance that the point estimate (z) of the sensitivity, specificity, PPV or NPV lies within this interval and a 5% that the true value is either below or above this interval. The 95% C.I. were computed based on z ± 1.96 × Standard Error.