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Table 3 Performance in the diagnosis of PCa using PI-RADS and DR-CSI

From: Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model – a feasibility study

 

Patient

Lesion

PI-RADS

DR-CSI

p value

PI-RADS

DR-CSI

p value

Gleason Score = 6 and ≥ 7

PI-RADS ≥ 3

 sensitivity

31/32

31/32

 

42/54

48/54

 

 specificity

5/25

17/25

 

7/31

19/31

 

 accuracy

36/57(63.2%)

48/57(84.2%)

0.004

49/85(57.6%)

67/85(78.8%)

0.001

PI-RADS ≥ 4

 sensitivity

28/32

31/32

 

34/54

48/54

 

 specificity

17/25

17/25

 

21/31

19/31

 

 accuracy

45/57(78.9%)

48/57(84.2%)

0.508

55/85(64.7%)

67/85(76.5%)

0.029

Gleason Score ≥ 7

PI-RADS ≥ 3

 sensitivity

30/30

30/30

 

27/32

30/32

 

 specificity

6/27

18/27

 

14/53

23/53

 

 accuracy

36/57(63.2%)

48/57(84.2%)

0.004

41/85(48.2%)

53/85(62.4%)

0.036

PI-RADS ≥ 4

 sensitivity

28/30

30/30

 

23/32

30/32

 

 specificity

19/27

18/27

 

32/53

23/53

 

 accuracy

47/57(82.5%)

48/57(84.2%)

1.000

55/85(64.7%)

53/85(62.4%)

0.845

  1. aPCa prostate cancer, PI-RADS Prostate Imaging-Reporting and Data System Version, DR-CSI Diffusion-Relaxation Correlation Spectrum Imaging