Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T

Table 1

The number of subjects for the two binary features (age and DRE), and the mean (±std.) values for the other five features grouped by low and high Gleason score patients.

	Low-grade ()		High-grade ()
Age	(<65)	16	(<65)	7
	(≥65)	4	(≥65)	6
DRE	No	17	No	8
	Yes	3	Yes	5
PSA	8.42 ± 12.92		9.91 ± 9.35
Index lesion size	1.64 ± 1.78		2.23 ± 1.64
Likert scale of T2w-MRI	3.90 ± 0.72		4.00 ± 0.71
Likert scale of DW-MRI	4.55 ± 0.60		4.69 ± 0.48
Likert scale of DCE-MRI	3.55 ± 1.47		4.62 ± 0.51