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Table 4 Areas under the curves (AUC), specificities at 95% sensitivity and sensitivities at 95% specificity with the respective confidence intervals (in parenthesis) for the parameters tPSA, %fPSA, PSAD§, PSAV, ANN and ANNV$ for the tPSA range 4–10 ng/mL (n = 94)

From: Artificial neural network (ANN) velocity better identifies benign prostatic hyperplasia but not prostate cancer compared with PSA velocity

Parameter

AUC

(Confidence Intervals)

P-values and significance levels§

Specificity at 95% Sensitivity

P-values and significance levels§

Sensitivity at 95% Specificity

P-values and significance levels$

PSA

0.50

(0.36–0.63)

<0.0001***

11.4

(5.9–19.8)

0.002**

4.2

(1.3–19.1)

0.037*

%fPSA

0.64

(0.51–0.77)

0.09

20

(12.6–29.6)

0.045*

12.5

(3.5–29.7)

0.023*

PSAD

0.69

(0.58–0.81)

-

35.7

(26.2–46.2)

-

4.2

(1.3–19.1)

0.013*

PSAV

0.66

(0.53–0.80)

0.529

4.3

(1.2–11.0)

<0.0001***

12.5

(3.5–29.7)

0.023*

ANN

0.66

(0.53–0.79)

0.264

8.6

(3.8–16.4)

<0.0001***

16.7

(5.9–34.6)

0.074

ANNV

0.57

(0.40–0.75)

0.008**

0

<0.0001***

37.5

(21.2–56.4)

-

  1. §PSAD with largest AUC and highest specificity at 95% sensitivity, all others compared to PSAD
  2. $ANNV with highest sensitivity at 95% specificity, all others compared to ANNV
  3. *P < 0.05
  4. **P < 0.01
  5. ***P < 0.0001