Table 3.
Diagnostic performance of the prediction models for discrimination between benign and malignant adnexal masses.
| Assessment method | AUC | Sensitivity | Specificity | PPV | NPV | LR+ | LR- | DOR |
|---|---|---|---|---|---|---|---|---|
| ADNEX125 | 0.94 (0.92-0.96) |
0.93 (0.87-0.97) |
0.76 (0.72-0.81) |
0.80 (0.75-0.84) |
0.92 (0.87-0.95) |
3.93 (3.20-4.72) |
0.09 (0.04-0.22) |
43.67 |
| ADNEXN125 | 0.94 (0.91-0.96) |
0.93 (0.87-0.97) |
0.74 (0.69-0.79) |
0.78 (0.73-0.83) |
0.92 (0.87-0.95) |
3.60 (3.00-4.31) |
0.09 (0.05-0.20) |
40.00 |
| SRs+BE | NA | 0.69 (0.60-0.77) |
0.96 (0.93-0.97) |
0.94 (0.90-0.97) |
0.76 (0.70-0.80) |
15.82 (9.66-25.93) |
0.32 (0.25-0.42) |
49.44 |
| SRs+MAL | NA | 0.93 (0.86-0.97) |
0.86 (0.82-0.89) |
0.87 (0.82-0.91) |
0.92 (0.88-0.95) |
6.51 (5.04-8.42) |
0.09 (0.05-0.16) |
72.33 |
| RMI-I | 0.87 (0.83-0.90) |
0.55 (0.46-0.64) |
0.93 (0.90-0.96) |
0.89 (0.83-0.94) |
0.67 (0.62-0.72) |
8.05 (5.33-12.19) |
0.48 (0.43-0.59) |
16.77 |
| RMI-II | 0.83 (0.80-0.86) |
0.61 (0.52-0.70) |
0.92 (0.89-0.95) |
0.89 (0.83-0.93) |
0.70 (0.65-0.75) |
7.95 (5.42-11.75) |
0.42 (0.33-0.52) |
18.93 |
| RMI-III | 0.82 (0.78-0.86) |
0.53 (0.44-0.63) |
0.94 (0.91-0.96) |
0.90 (0.84-0.95) |
0.67 (0.62-0.72) |
9.30 (5.91-14.49) |
0.50 (0.45-0.63) |
18.60 |
Values in parentheses are 95% CI. Prediction models: ADNEX125, the Assessment of Different NEoplasias in the adneXa model with CA125 level; ADNEXN125, the Assessment of Different NEoplasias in the adneXa model without CA125 level; SRs+BE, International Ovarian Tumor Analysis simple ultrasound-based rules applied with inconclusive tumors (13.2%, 64/486 cases) being classified as benign; SRs+MAL, International Ovarian Tumor Analysis simple ultrasound-based rules applied with inconclusive results being categorised as malignant; RMI-I, RMI-II, RMI-III, three variants of the Risk of Malignancy Index. For ADNEX models, cut-off value of 10% was used and for the three variants of RMI model, cut-off value of 200 was used. AUC, area under receiver-operating characteristic curve; PPV, positive predictive value; NPV, negative predictive value; LR+, positive likelihood ratio; LR–, negative likelihood ratio; DOR, diagnostic odds ratio; NA, not applicable.