Skip to main content
. 2021 Mar;13(3):1327–1337. doi: 10.21037/jtd-20-2981

Table 3. The performance of deep learning-based method.

Cross-validation Data AUC P value ACC SEN SPE PPV NPV
Fold 1 GTV 0.866 (0.822–0.907) 0.237 0.727 (0.674–0.783) 0.553 (0.469–0.633) 0.937 (0.897–0.977) 0.913 (0.862–0.969) 0.634 (0.565–0.701)
GPTV 0.898 (0.86–0.938) 0.857 (0.815–0.902) 0.844 (0.792–0.902) 0.873 (0.814–0.946) 0.890 (0.837–0.956) 0.821 (0.756–0.866)
Fold 2 GTV 0.931 (0.902–0.958) 0.100 0.856 (0.815–0.891) 0.829 (0.774–0.894) 0.889 (0.833–0.951) 0.900 (0.854–0.956) 0.812 (0.744–0.881)
GPTV 0.972 (0.954–0.991) 0.914 (0.88–0.946) 0.896 (0.849–0.942) 0.937 (0.897–0.937) 0.945 (0.913–0.98) 0.881 (0.826–0.936)
Fold 3 GTV 0.942 (0.917–0.968) 0.014* 0.871 (0.826–0.913) 0.855 (0.8– 0.917) 0.889 (0.833–0.950) 0.903 (0.857–0.956) 0.836 (0.773–0.900)
GPTV 0.990 (0.982–0.997) 0.914 (0.880–0.946) 0.896 (0.851–0.942) 0.937 (0.897–0.977) 0.945 (0.911–0.98) 0.881 (0.829–0.936)
Fold 4 GTV 0.931 (0.903–0.961) 0.400 0.871 (0.837–0.913) 0.882 (0.837– 0.939) 0.857 (0.795–0.923) 0.882 (0.830–0.938) 0.857 (0.800–0.923)
GPTV 0.956 (0.932–0.985) 0.936 (0.913–0.967) 0.948 (0.917–0.981) 0.921 (0.875–0.976) 0.936 (0.900–0.980) 0.935 (0.895–0.977)
Fold 5 GTV 0.937 (0.910–0.966) 0.349 0.871 (0.837–0.913) 0.882 (0.836–0.938) 0.857 (0.800–0.923) 0.882 (0.837–0.936) 0.857 (0.795–0.925)
GPTV 0.961 (0.94–0.986) 0.900 (0.870–0.935) 0.883 (0.836–0.938) 0.921 (0.875–0.975) 0.932 (0.894–0.979) 0.866 (0.810–0.930)
Mean GTV 0.921 (0.896–0.937) 0.003* 0.839 (0.812–0.868) 0.800 (0.759–0.843) 0.899 (0.851–0.924) 0.897 (0.863–0.927) 0.787 (0.745–0.832)
GPTV 0.955 (0.939–0.971) 0.904 (0.881–0.927) 0.893 (0.861–0.925) 0.917 (0.884–0.947) 0.929 (0.901–0.955) 0.876 (0.841–0.912)

P value was derived from the DeLong test of comparing AUCs between GTV and GPTV. Statistics in the brackets showed 95% confidence intervals (CIs). *, denotes P<0.05. Fold 1–5, 5-fold cross-validation; GTV, gross tumor volume; GPTV, tumor incorporating peritumoral region; AUC, area under the curve; ACC, accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative predictive value.