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Table 2 Diagnostic performances of different methods at various cut-off values in detecting ovarian malignancy

From: Reliability of preoperative evaluation of postmenopausal ovarian tumors

Diagnostic method
Cut-off value
Sensitivity
%
95% CI Specificity
%
95% CI PPV
%
95% CI NPV
%
95% CI Accuracy %
Serum CA125 (kU/L) → Area under the ROC curve = 0.80
 24 71.9 53.3–86.3 78.8 67.0–87.9 62.2 44.8–77.5 85.3 73.8–93.0 76.5
 35 59.4 40.6–76.3 84.9 73.9–92.5 65.5 45.7–82.1 81.2 69.9–89.6 76.5
RMI → Area under the ROC curve = 0.81
 200 71.9 53.3–86.3 80.3 68.7–89.1 63.9 46.2–79.2 85.5 74.2–93.1 77.6
 220 71.9 53.3–86.3 83.3 72.1–91.4 67.7 49.5–82.6 85.9 75.0–93.4 79.6
Simple rules with expert opiniona 90.6 75.0–98.0 84.6 73.9–92.5 74.4 57.9–87.0 94.9 85.9–98.9 86.7
Expert opinion 87.5 71.0–96.5 92.4 83.2–97.5 84.6 68.1–94.9 93.9 85.0–98.3 90.8
Tumor vascularityb 90.6 75.0–98.0 77.3 65.3–86.7 65.9 50.1–79.5 94.4 84.6–98.8 81.6
LR2 (%) → Area under the ROC curve = 0.93
 10 100.0 89.1–100.0 36.4 24.9–49.1 43.2 31.8–55.3 100.0 85.8–100.0 57.1
 25 90.6 75.0–98.0 77.3 65.3–86.7 65.9 50.1–79.5 94.4 84.6–98.8 81.6
 43 81.3 63.6–92.8 90.9 81.3–96.6 81.3 63.6–92.8 90.9 81.3–96.6 87.8
  1. IOTA International Ovarian Tumor Analysis; CI Confidential interval; PPV Positive predictive value; NPV Negative predictive value; ROC Receiver operating characteristics; RMI Risk of malignancy index; LR2 Logistic regression model 2
  2. aTwo-step strategy: as a result of inconclusive findings by simple rules, the expert evaluates the tumor
  3. bTwo-dimensional ultrasound vascular score 1-2 vs 3-4