Figures (2)  Tables (3)

    • Figure 1. 

      ROC curves of age, NSE, and combined model to predict grade of rNETs.

    • Figure 2. 

      ROC curves of age, NSE, and combined model to predict metastasis of rNETs.

    • G1 G2/G3 p
      Sex (male/female) 121/70 31/39 0.006
      Age (years) 50.46 ± 11.56 55.03 ± 11.39 0.005
      CEA 1.78 (1.19, 2.48) 2.68 (1.35, 4.52) 0.154
      CA19-9 10.15 (6.53, 13.47) 11.98 (7.17, 18.05) 0.289
      NSE 15.87 (11.48, 19.75) 21.24 (16.49, 45.46) <0.001

      Table 1. 

      Characteristics of rNETs patients with different pathological grade.

    • Without metastasis With metastasis p
      Sex (male/female) 130/81 22/28 0.023
      Age (years) 50.11 ± 11.99 58.32 ± 7.13 < 0.001
      CEA 1.76 (1.17, 2.55) 2.78 (1.38, 5.21) 0.011
      CA19-9 10.17 (6.53, 13.47) 12.00 (7.17, 25.25) 0.551
      NSE 16.07 (11.74, 19.91) 20.45 (16.13, 46.07) < 0.001

      Table 2. 

      Characteristics of rNETs patients with or without metastasis.

    • rNETs Index Sensitivity Specificity AUC 95% CI of AUC Cut-off
      value
      Grade Age 0.743 0.508 0.626 [0.550, 0.702] 51.500
      NSE 0.614 0.681 0.708 [0.638, 0.779] 17.950
      Model 0.771 0.634 0.756 [0.689, 0.823] 0.211
      Metastasis Age 0.720 0.682 0.723 [0.658, 0.788] 55.500
      NSE 0.700 0.673 0.757 [0.684, 0.830] 17.945
      Model 0.900 0.640 0.847 [0.796, 0.899] 0.125

      Table 3. 

      Results of ROCs to predict grade and metastasis of rNETs.