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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