Table 2. Discrimination Performance Based on rL Values.

	Accuracy			Sensitivity			Specificity
	Mean	Max	Min	Mean	Max	Min	Mean	Max	Min
IP vs. IC
Cortical	0.95	0.98	0.81	0.94	0.99	0.79	0.93	0.99	0.83
Subcortical	0.97	0.99	0.91	0.98	0.99	0.94	0.92	0.99	0.75
WM	0.95	0.97	0.91	0.94	0.98	0.81	0.93	0.99	0.88
IP vs. NT
Cortical	0.79	0.87	0.70	0.42	0.63	0.22	0.95	0.98	0.86
Subcortical	0.83	0.89	0.74	0.40	0.52	0.14	0.97	0.99	0.94
WM	0.68	0.77	0.60	0.40	0.56	0.26	0.91	0.99	0.83

Sensitivity is calculated as proportion of positives that perfusion/diffusion-defined IP voxels are correctly identified as IP by using rL values; specificity is calculated as proportion of negatives that perfusion/diffusion-defined IC or NT voxels are correctly identified as IC or NT based on rL values; accuracy is defined as proportion of true positives and true negatives to overall testing voxels. IC = infarct core, IP = ischemic penumbra, Max = maximum, Min = minimum, NT = normal tissue, WM = white matter