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Table 4 Differential diagnostic efficiency of different diagnostic models between thymic epithelial tumors and thymic lymphomas

From: Multiparameter diagnostic model based on 18F-FDG PET and clinical characteristics can differentiate thymic epithelial tumors from thymic lymphomas

Parameters

AUC (95%CI)

Sensitivity (95%CI)

Specificity (95%CI)

PPV (95%CI)

NPV (95%CI)

Model 1

0.942 (0.908–0.975)

0.892 (0.807–0.944)

0.863 (0.763–0.926)

0.883 (0.796–0.937)

0.873 (0.775–0.934)

Model 2

0.944 (0.914–0.975)

0.914 (0.832–0.959)

0.825 (0.720–0.898)

0.859 (0.771–0.917)

0.892 (0.793–0.949)

Model 3

0.964 (0.939–0.989)

0.882 (0.794–0.937)

0.963 (0.887–0.990)

0.965 (0.893–0.991)

0.875 (0.783–0.933)

  1. Model 1: Age plus SUVR
  2. Model 2: Symptoms plus SUVR
  3. Model 3: Age plus Symptoms plus SUVR
  4. CI Confidence interval, AUC Area under the curve, PPV Positive predictive value, NPV Negative predictive value