TABLE 3.

Performance comparison of the VOI CNN methods by using different MRI parameters

Model	Parameters	ACC	SEN	SPC	PPV	NPV	AUC
The single parameter model	Clinical	0.659	0.778	0.613	0.420	0.885	0.680
	DWI	0.815	0.700	0.847	0.560	0.910	0.830
	CBF	0.773	0.9375	0.720	0.517	0.973	0.835
	CBV	0.823	0.815	0.827	0.629	0.925	0.878
	MTT	0.843	0.926	0.813	0.641	0.968	0.933
	TTP	0.873	0.889	0.867	0.706	0.956	0.916
The multiparameter model	MT	0.863	0.926	0.840	0.676	0.969	0.924
	MTC	0.882	0.895	0.880	0.630	0.973	0.924
	DMT	0.873	0.852	0.867	0.700	0.941	0.933
	DMTC	0.892	0.864	0.900	0.704	0.960	0.948
	DMTC*	0.884	0.859	0.890	0.703	0.955	0.939

Abbreviations: ACC, accuracy; AUC, area under the receiver‐operating characteristic curve; CBF, cerebral blood flow; CBV, cerebral blood volume; CNN, convolutional neural network; DMT, DWI & MTT &TTP; DMTC^*, DWI & MTT & TTP & clinical of external validation set; DMTC, DWI & MTT & TTP & Clinical; DWI, diffusion‐weighted imaging; MT, MTT&TTP; MTC, MTT&TTP& Clinical; MTT, mean transit time; NPV, negative predictive value; PPV, positive predictive value; SEN, sensitivity; SPC, specificity; TTP, time to peak; VOI, volume of interest.