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Table 2 The performance of 5 different models for prediction of lymph metastasis of lung adenocarcinoma

From: Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

Models

AUC (95% CI)

ACC (95% CI)

SEN

SPE

PPV

NPV

Training group

      

PET/CT

0.92 (0.89–0.95)

0.865 (0.826–0.898)

0.865

0.867

0.943

0.717

CT

0.87 (0.83–0.90)

0.741 (0.694–0.785)

0.688

0.876

0.934

0.526

PET

0.83 (0.78–0.86)

0.765 (0.719–0.808)

0.759

0.781

0.898

0.562

Clinical

0.93 (0.90–0.95)

0.838 (0.797–0.974)

0.664

0.94

0.867

0.827

PET/CT + Clinical

0.95 (0.93–0.97)

0.879 (0.841–0.91)

0.717

0.974

0.943

0.853

Test group

      

PET/CT

0.91 (0.86–0.95)

0.873 (0.81–0.92)

0.885

0.841

0.935

0.74

CT

0.87 (0.80–0.92)

0.771 (0.697–0.834)

0.717

0.909

0.953

0.556

PET

0.80 (0.73–0.86)

0.79 (0.718–0.851)

0.832

0.682

0.87

0.612

Clinical

0.91 (0.85–0.95)

0.783 (0.711–0.845)

0.578

0.925

0.841

0.761

PET/CT + Clinical

0.94 (0.89–0.97)

0.847 (0.781–0.89)

0.656

0.978

0.955

0.805

  1. AUC: area under the curve; CI: confidence interval; ACC: accuracy; SEN: sensitivity; SPE: specificity; PPV: positive predictive value; NPV: negative predictive value. The PET/CT, CT, and PET models represent PET/CT, CT, and PET radiomics models, respectively