Table 3.

The diagnostic performances of the RFs and other parameters for predicting FPE.

Feature	Area under the curve	95% confidence interval	Cutoff value	Sensitivity (%)	Specificity (%)	p value	Diagnostic accuracy (%)
GLRLM_LGRE	0.807	0.690–0.923	>0.00036	76	68	0.002	71.1
GLRLM_SRLGE	0.799	0.680–0.917	>0.00036	72	70	0.002	71.1
GLRLM_LRLGE	0.776	0.651–0.901	>0.00038	72	70	0.005	69.2
NGLDM_Coarseness	0.688	0.539–0.837	>0.018	64	70	0.028	65.4
GLZLM_SZE	0.723	0.582–0.864	>0.91	64	70	0.013	67.2
GLZLM_LGZE	0.765	0.635–0.895	>0.00037	68	70	0.006	69.2
GLZLM_SZLGE	0.778	0.648–0.907	>0.00034	80	70	<0.001	75
GLZLM_ZP	0.752	0.620–0.884	>0.895	68	70	0.006	69.2
GLRLM_GLNU	0.667	0.518–0.815	<2.825	56	63	0.271	57.6
NGLDM_Busyness	0.741	0.606–0.876	<0.018	60	70	0.028	65.4
GLZLM_LZE	0.747	0.615–0.880	<1.38	64	70	0.013	67.3
GLZLM_LZHGE	0.739	0.604–0.874	<6410	60	63	0.098	61.5
Female sex	–	–	–	72	66	0.005	69.2
Baseline ASPECT score	0.675	0.527–0.822	>8.5	72	63	0.005	69.2

RF: radiomics features; FPE: first pass effect; GLRLM: gray-level run-length matrix; LGRE: low gray-level run emphasis; SRLGE: short-run low gray-level emphasis; LRLGE: long-run low gray-level emphasis; NGLDM: neighborhood gray-level difference matrix; GLZLM: gray-level zone length matrix; SZE: short-zone emphasis; LGZE: low gray-level zone emphasis; SZLGE: short-zone low gray-level emphasis; ZP: zone percentage; GLNU: gray-level non-uniformity; LZE: long-zone emphasis; LZHGE: long-zone high gray-level emphasis; ASPECT: Alberta Stroke Program Early computed tomography.