Table 2:

Univariate and multivariate logistic regression analysis of imaging features on DSA result

Imaging Features	Odds Ratio	Standard Error	Z	P > z	95% CI
Univariate analysis
ICH	0.17	0.19	−1.62	.105	0.02–1.45
Edema	0.30	0.15	−2.48	.013	0.12–0.78
Abnormal MRAa	3.45	1.68	2.55	.011	1.33–8.94
Serpiginous vesselsa	17.85	11.18	4.60	<.001	5.23–60.94
Venous enhancementa	2.73	1.38	1.99	.046	1.02–7.35
Venous ASL signala	19.60	11.83	4.93	<.001	6.00–63.97
Multivariate analysis
ICH	1.18	1.84	0.11	.915	0.06–24.93
Edemaa	0.12	0.11	−2.34	.019	0.02–0.71
Abnormal MRA	0.82	0.88	−0.18	.856	0.10–6.72
Serpiginous vesselsa	2.53	13.35	2.37	.018	1.55–101.19
Venous enhancementa	0.79	0.77	−0.24	.811	0.12–5.31
Venous ASL signala	17.30	14.57	3.39	.001	3.32–90.14

^aSignificant at P < .05.

Multivariate post-ASL model is an improvement over the pre-ASL model (P = .0001).