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Table 2 Efficacy of models for identifying mediastinal LNM in the training and validation groups

From: Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging

Model

Group

AUC

SEN

SPE

ACC

PPV

NPV

1

training

0.926

0.879

0.860

0.871

0.906

0.821

validation

0.925

0.952

0.769

0.882

0.870

0.909

2

training

0.875

0.929

0.609

0.804

0.786

0.848

validation

0.876

0.976

0.423

0.765

0.732

0.917

3

training

0.857

0.919

0.469

0.742

0.728

0.789

validation

0.802

0.905

0.500

0.750

0.745

0.765

4

training

0.850

0.949

0.563

0.798

0.770

0.878

validation

0.813

0.952

0.423

0.750

0.727

0.846

5

training

0.831

0.879

0.594

0.767

0.770

0.760

validation

0.800

0.952

0.615

0.824

0.889

0.889

6

training

0.841

0.979

0.281

0.706

0.678

0.900

validation

0.702

0.928

0.192

0.647

0.650

0.625

  1. SEN sensitivity, SPE specificity, ACC accuracy, PPV positive predictive value, NPV negative predictive value