Table 3 ROC analysis using CA125, HE4, IL-6, IL-8, RMI score, ROMA alone and predicted probability in combination for distinguishing patients with malignant HGSOC from those with benign ovarian mass, malignant HGSOC from patients with normal ovaries, and benign ovarian mass from patients with normal ovaries in the training phase.

From: Pre-operative sera interleukin-6 in the diagnosis of high-grade serous ovarian cancer

Markers

Malignant vs Benign

Malignant vs Normal

Benign vs Normal

AUC

95% CI

p value

AUC

95% CI

p value

AUC

95% CI

p value

CA125

0.96

(0.91–1.00)

3.0 × 10–6

0.99

(0.98–1.00)

1.2 × 10−9

0.73

(0.53–0.95)

0.027

RMI score

0.97

(0.92–1.00)

2.0 × 10−6

1.00

(1.00–1.00)

7.8 × 10−10

0.95

(0.88–1.00)

2.3 × 10−6

HE4

0.99

(0.99–1.00)

4.0 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

0.84

(0.69–0.99)

0.0013

ROMA

0.99

(0.98–1.00)

4.9 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

0.84

(0.69–0.99)

0.0013

IL6

0.92

(0.85–1.00)

1.4 × 10−6

1.00

(1.00–1.00)

7.8 × 10−10

0.91

(0.76–1.00)

1.4 × 10−6

IL8

0.64

(0.43–0.84)

0.17

0.72

(0.59–0.86)

0.006

0.72

(0.51–0.93)

0.036

IL6 + CA125

0.99

(0.98–1.00)

4.3 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

0.99

(0.96–1.00)

4.0 × 10−6

IL6 + RMI score

0.99

(0.99–1.00)

6.4 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

0.97

(0.91–1.00)

1.0 × 10−5

IL6 + HE4

1.00

(1.00–1.00)

3.7 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

0.97

(0.91–1.00)

1.0 × 10−5

IL6 + ROMA

1.00

(1.00–1.00)

3.7 × 10−7

1.00

(1.00–1.00)

7.8 × 10−10

1.00

(1.00–1.00)

8.5 × 10−6

  1. ROC-receiver operating characteristic, AUC- area under curve, 95% CI- 95% Confidence Interval.
  2. PPV- positive predictive value, NPV-negative predictive value.
  3. ROC-receiver operating characteristic, AUC- area under curve, 95% CI- 95% Confidence Interval.