. 2018 Apr 17;9(29):20734–20746. doi: 10.18632/oncotarget.25070

Table 1. PET radiomic features extracted using 64 bins (bin width = 0.4 SUV) from 3 different PET images.

		Gynecological cancer						Oral cavity/oropharyngeal cancer
		PET/CT		PET/MR_{0–2 min}		PET/MR_{0–10 min}		PET/CT		PET/MR_{0–2 min}		PET/MR_{0–10 min}
Explanation	Feature	Mean	SD	Mean	SD	Mean	SD	Mean	SD	Mean	SD	Mean	SD
Conventional	SUV	8.9	3.3	11.5	4.7	11.2	4.5	11.0	3.7	11.1	3.3	10.9	3.1
	TMR	13.0	5.3	14.1	4.8	14.3	5.2	10.3	4.2	11.8	5.2	12.2	5.4
Histogram	Skewness	0.47	0.23	0.37	0.18	0.32	0.18	0.46	0.42	0.35	0.43	0.26	0.39
	Kurtosis	2.38	0.40	2.31	0.35	2.17	0.30	2.25	0.49	2.26	0.57	2.08	0.37
GLCM matrix	Entropy	2.74	0.31	2.82	0.30	2.80	0.36	2.55	0.31	2.42	0.36	2.40	0.38
	Homogeneity	0.23	0.08	0.22	0.07	0.24	0.09	0.19	0.03	0.18	0.02	0.18	0.02
GLRLM matrix	SRE	0.97	0.02	0.96	0.02	0.96	0.02	0.98	0.01	0.98	0.00	0.97	0.01
	LRE	1.16	0.09	1.18	0.10	1.20	0.13	1.10	0.02	1.08	0.02	1.08	0.02