Skip to main content

Table 3 Sensitivity and Specificity of different PET-CT parameters for LNMs detection and risk stratification of EC

From: Risk stratification of endometrial cancer and lymph node metastases prediction using 18F-FDG PET/CT: role of metabolic tumor volume and total lesion glycolysis

  AUC P value 95% CI Cut-off value Sensitivity (%) Specificity (%)
Histopathological grade
SUVmax 0.711 0.0246 0.528 to 0.855  > 14.65 72.22 73.33
SUVmean 0.663 0.0963 0.478 to 0.817  > 7.12 77.78 53.33
MTV 0.796 0.0003 0.620 to 0.916  > 25.596 77.78 80
TLG 0.759 0.0025 0.579 to 0.890  > 192.653 77.78 66.67
Myometrial invasion
SUVmax 0.911  < 0.0001 0.759 to 0.982  > 14.55 88.89 86.67
SUVmean 0.852  < 0.0001 0.685 to 0.951  > 7.15 88.89 73.33
MTV 0.837  < 0.0001 0.667 to 0.942  > 25.596 77.78 80
TLG 0.911  < 0.0001 0.759 to 0.982  > 192.653 88.89 80
LVSI
SUVmax 0.848  < 0.0001 0.681 to 0.949  > 14.65 86.67 77.78
SUVmean 0.804 0.0002 0.629 to 0.921  > 9.15 66.67 88.89
MTV 0.848  < 0.0001 0.681 to 0.949  > 25.596 86.67 77.78
TLG 0.889  < 0.0001 0.731 to 0.971  > 179.374 100 66.67
LNMs
SUVmax 0.856  < 0.0001 0.691 to 0.954  > 18.34 77.78 87.50
SUVmean 0.861  < 0.0001 0.696 to 0.956  > 7.54 100 62.50
MTV 0.852  < 0.0001 0.685 to 0.951  > 30.125 88.89 79.17
TLG 0.921  < 0.0001 0.773 to 0.986  > 249.366 88.89 83.33
Risk stratification
SUVmax 0.839  < 0.0001 0.670 to 0.943  > 14.55 77.27 90.91
SUVmean 0.785 0.0007 0.608 to 0.908  > 7.12 81.82 72.73
MTV 0.826  < 0.0001 0.655 to 0.935  > 25.596 72.73 90.91
TLG 0.839  < 0.0001 0.670 to 0.943  > 192.653 77.27 81.82
  1. AUC, Area Under the Curve, LVSI, Lymph-vascular space invasion, LNMs, Lymph nodes metastases