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Table 4 Diagnostic performance of each model in predicting central lymph node metastasis in the training and validation sets

From: Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis

  

AUC (95% CI)

Accuracy

Sensitivity

Specificity

Training set

Combined model

0.956

(0.928–0.984)

0.882

(0.836–0.925)

0.922

(0.886–0.958)

0.835

(0.785–0.885)

Ultrasound radiomic model

0.920

(0.880–0.956)

0.834

(0.790–0.889)

0.870

(0.824–0.914)

0.804

(0.751–0.858)

Morphological model

0.836

(0.786–0.886)

0.693

(0.631–0.755)

0.522

(0.455–0.589)

0.897

(0.856–0.938)

Validation set

Combined model

0.973

(0.951–0.995)

0.916

(0.879–0.953)

0.933

(0.899–0.967)

0.895

(0.853–0.936)

Ultrasound radiomic model

0.918

(0.836–0.967)

0.807

(0.754–0.860)

0.822

(0.771–0.874)

0.789

(0.735–0.844)

Morphological model

0.796

(0.742–0.850)

0.614

(0.548–0.680)

0.378

(0.313–0.443)

0.895

(0.854–0.936)

  1. 95% CI, 95% confidence interval