Table 2: Prostate cancer detection.

Variables

Benign

N=67

Positive

N=80

OR (95% CI)

P-value

 

 

 

 

 

PI-RADS (N, %)

2

3

4

5

 

9 (13.4)

29 (43.3)

23 (34.3)

6 (8.96)

 

1 (1.25)

10 (12.5)

32 (40.0)

37 (46.3)

 

REF

4.30 (0.39, 46.6)

23.4 (2.08, 263.6)

79.8 (6.45, 987.2)

 

 

0.23

0.011

0.001

 

 

 

 

 

Age, Years (mean, SD)

66.1 (6.36)

68.0 (6.15)

1.08 (1.01, 1.16)

0.023

 

 

 

 

 

Race (Caucasian, %)

59 (88.1)

68 (85.0)

0.56 (0.16, 1.93)

0.36

 

 

 

 

 

PSA (mean, SD)

15.6 (43.1)

20.4 (40.3)

0.99 (0.98, 1.01)

0.52

 

 

 

 

 

Lesion Location (N, %)

Peripheral

Central

Other

 

42 (62.7)

14 (20.9)

11 (16.4)

 

38 (47.5)

21 (26.3)

21 (26.3)

 

REF

1.90 (0.55, 6.58)

2.09 (0.72, 6.06)

 

 

0.31

0.17

 

 

 

 

 

Lesion Size, cm

<0.5

>0.5 - < 1

>1 – < 1.5

>1.5

 

4 (5.97)

22 (32.8)

15 (22.4)

26 (38.8)

 

1 (1.25)

11 (13.8)

16 (20.0)

52 (65.0)

 

REF

1.39 (0.10, 19.1)

2.49 (0.18, 34.3)

1.97 (0.15, 26.6)

 

 

0.80

0.49

0.61

Detection of Clinically Significant Prostate Cancer (GS 3+4 or greater).

 

Variables

Benign+Gleason 6

N=80

Gleason >3+4 or greater

N=67

OR (95% CI)

P-value

 

 

 

 

 

PI-RADS (N, %)

2

3

4

5

 

10 (12.5)

32 (40.0)

26 (32.5)

12 (15.0)

 

 

7 (10.5)

29 (43.3)

31 (46.3)

 

REF

2.17 (0.21, 22.8)

12.5 (1.23, 127.9)

21.6 (2.07, 224.8)

 

 

0.51

0.033

0.01

 

 

 

 

 

Age, Years (mean, SD)

66.8 (6.59)

67.6 (5.94)

1.04 (0.98, 1.10)

0.21

 

 

 

 

 

Race (Caucasian, %)

71 (88.8)

56 (83.6)

0.58 (0.18, 1.83)

0.35

 

 

 

 

 

PSA (mean, SD)

14.9 (39.5)

22.2 (43.8)

0.99 (0.98, 1.01)

0.89

 

 

 

 

 

Lesion Location (N, %)

Peripheral

Central

Other

 

48 (60.0)

18 (22.5)

14 (17.5)

 

32 (47.8)

17 (25.4)

18 (26.9)

 

REF

1.38 (0.44, 4.26)

1.75 (0.66, 4.65)

 

 

0.58

0.26

 

 

 

 

 

 

Lesion Size, cm

<0.5

>0.5 - < 1

>1 – < 1.5

>1.5

 

4 (5.00)

24 (30.0)

19 (23.8)

33 (41.3)

 

1 (1.49)

9 (13.4)

12 (17.9)

45 (67.2)

 

REF

1.25 (0.09, 15.6)

1.52 (0.12, 19.1)

1.86 (0.15, 22.8)

 

 

0.86

0.74

0.62

OR (95% CI) calculated using Multiple logistic regression adjusting for all other variables in the model.