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Table 1 Descriptive characteristics of the study population

From: Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone

Variable

Training cohort

Validation cohort

p value

Patients, n

151

74

NA

Age, yr,

(median; IQR)

63.5; 65–74

64.9;62–73

0.26

tPSA, ng/ml,

(median; IQR)

5.7; 4.8–6.7

5.3; 4.2–6.6

0.30

fPSA, ng/ml,

(median; IQR)

1.12; 0.41–3.39

1.16; 0.32–4.17

0.21

PSA f/t,

(median; IQR)

0.13; 0.06–0.44

0.17; 0.09–0.52

0.16

MRI-based PV, cm3

(median; IQR)

46.2; 36.4–59.4

48.2; 33.7–58.1

0.32

Adjusted PSAD, ng/ml/cm3, mean (median; IQR)

0.17; 0.12–0.53

0.16; 0.06–0.47

0.71

DRE nodules

yes/no, n (%)

86 (57) / 65 (43)

44 (59) / 30 (41)

0.46

TRUS,

Hypoechoic (positive)/Isoechoic (negative)

81 (53) / 70 (47)

42 (56) / 32 (44)

0.56

PI-RADS v2 scores, mean (± SD)

3.3 (±0.9)

3.1 (±1.0)

0.50

Pathological outcomes, n (%)

   

High-grade cancer

32 (21)

18 (24)

0.80

Low-grade cancer

52 (35)

20 (28)

Benign

67 (44)

36 (48)

  1. IQR Interquartile range, SD Standard deviation, NA Not available, PSA Prostate-specific antigen, MRI Magnetic resonance imaging, PV Prostate volume, PSAD Prostate-specific antigen density, DRE Digital rectal examination, TRUS Transrectal ultrasound, PI-RADS v2 Prostate Imaging Reporting and Data System version 2