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Table 3 Performance of the individualized prediction models

From: Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study

Models

Train cohort

AUC

95% CI

Sensitivity

Specificity

Accuracy

T

0.716

0.631~0.802

0.480

0.816

0.660

N

0.783

0.700~0.866

0.750

0.716

0.732

AJCC

0.776

0.701~0.852

0.846

0.666

0.750

C

0.810

0.731~0.889

0.846

0.716

0.776

A

0.734

0.642~0.827

0.826

0.600

0.705

V

0.694

0.596~0.793

0.634

0.733

0.687

A + V

0.795

0.711~0.879

0.730

0.750

0.741

A + C

0.844

0.772~0.916

0.788

0.800

0.794

V + C

0.826

0.751~0.901

0.807

0.766

0.785

A + V + C

0.856

0.788~0.924

0.865

0.716

0.785

Models

Test cohort

AUC

95% CI

Sensitivity

Specificity

Accuracy

T

0.661

0.515~0.806

0.437

0.750

0.645

N

0.764

0.624~0.905

0.812

0.625

0.687

AJCC

0.696

0.565~0.827

0.812

0.562

0.645

C

0.764

0.621~0.908

0.812

0.656

0.708

A

0.708

0.540~0.877

0.750

0.468

0.562

V

0.603

0.429~0.777

0.625

0.406

0.479

A + V

0.705

0.530~0.879

0.687

0.656

0.666

A + C

0.791

0.636~0.945

0.750

0.687

0.708

V + C

0.785

0.642~0.928

0.750

0.656

0.687

A + V + C

0.792

0.635~0.950

0.750

0.593

0.645

  1. Note: A, V and A + V indicate the predicted model based on arterial phase images, venous phase images and the combination of two phase images, respectively. T, N and AJCC indicate the predicted model based on T stage, N stage and AJCC stage, respectively. C indicates the predicted model based on the combination of T stage, N stage and AJCC stage. CI Confidence Interval