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Table 2 Performance of 3D analysis, 2D analysis, and combined analysis in various sets

From: Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset

 

Sensitivity

Specificity

Accuracy

AUC

LR + 

LR-

Local validation set (109 PCs / 147 controls)

 3D analysis

0.771 (0.680–0.846)

0.952 (0.904–0.981)

0.875 (0.828–0.913)

0.934 (0.905–0.964)

16.18 (7.80–33.59)

0.24 (0.17–0.34)

 2D analysis

0.844 (0.762–0.906)

0.898 (0.837–0.942)

0.875 (0.828–0.913)

0.904 (0.863–0.946)

8.27 (5.09–13.45)

0.17 (0.11–0.27)

 Combined analysis

0.872 (0.794–0.928)

0.878 (0.813–0.926)

0.875 (0.828–0.913)

0.939 (0.911–0.968)

7.12 (4.59–11.04)

0.15 (0.09–0.24)

 3D and 2D in series

0.734 (0.641–0.814)

0.980 (0.942–0.996)

0.875 (0.828–0.913)

-

35.96 (11.67–110.85)

0.27 (0.20–0.37)

 3D and 2D in parallel

0.881 (0.805–0.935)

0.871 (0.806–0.920)

0.875 (0.828–0.913)

-

6.81 (4.45–10.43)

0.14 (0.08–0.23)

Nationwide test set (671 PCs / 805 controls)a

 3D analysis

0.796 (0.763–0.826)

0.920 (0.900–0.938)

0.864 (0.845–0.881)

0.937 (0.925–0.949)

10.01 (7.89–12.70)

0.22 (0.19–0.26)

 2D analysis

0.861 (0.833–0.887)

0.822 (0.794–0.848)

0.840 (0.820–0.858)

0.913 (0.898–0.927)

4.85 (4.17–5.64)

0.17 (0.14–0.20)

 Combined analysis

0.918 (0.895–0.938)

0.822 (0.794–0.848)

0.866 (0.847–0.883)

0.947 (0.936–0.958)

5.17 (4.45–6.01)

0.10 (0.08–0.13)

 3D and 2D in series

0.742 (0.707–0.775)

0.952 (0.934–0.965)

0.856 (0.837–0.874)

-

15.32 (11.24–20.87)

0.27 (0.24–0.31)

 3D and 2D in parallel

0.915 (0.891–0.935)

0.791 (0.762–0.819)

0.848 (0.828–0.866)

-

4.39 (3.83–5.03)

0.11 (0.08–0.14)

  1. aOne control was excluded due to the failure of automatic segmentation
  2. LR + positive likelihood ratio, LR- negative likelihood ratio