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Table 3 Performance of the ADNEX model in discriminating between benign and malignant tumours at progressive cut-offs for probability of malignancy

From: Estimating the risk of malignancy of adnexal masses: validation of the ADNEX model in the hands of nonexpert ultrasonographers in a gynaecological oncology centre in China

Cut-off

AUC (95% CI)

Sensitivity (95% CI) (%)

Specificity (95% CI) (%)

PPV (95% CI) (%)

NPV (95% CI) (%)

LR+ (95% CI)

LR- (95% CI)

DOR

3%

97.51 (95.02–99.50)

69.49 (64.87–74.10)

62.22 (58.70–66.01)

98.22 (96.55–99.63)

3.20 (2.75–3.72)

0.04 (0.02–0.09)

80.00

5%

92.04 (88.05–95.52)

87.95 (84.62–91.03)

79.83 (75.30–84.16)

95.54 (93.33–97.49)

7.64 (5.82–10.02)

0.09 (0.06–0.15)

84.89

10%

88.06 (83.58–92.54)

94.10 (91.79–96.41)

88.61 (84.54–92.57)

93.92 (91.71–96.05)

14.93 (10.01–22.26)

0.13 (0.09–0.18)

114.85

15%

87.56 (82.59–92.04)

95.90 (93.85–97.69)

91.75 (88.02–95.31)

93.75 (91.57–95.84)

21.36 (13.18–34.61)

0.13 (0.09–0.19)

164.31

39.2%a

0.97 (0.96–0.98)

87.06 (82.09–93.03)

97.69 (91.03–99.23)

95.03 (84.07–98.35)

93.66 (91.41–96.24)

37.69 (18.09–78.53)

0.13 (0.09–0.19)

289.92

  1. AUC Area under the receiver operating characteristic curve, DOR Diagnostic odds ratio, LR+ Positive likelihood ratio, LR– Negative likelihood ratio, NPV Negative predictive value, PPV Positive predictive value
  2. aOptimal cut-off, the maximum value of the Youden index