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Table 1 Performance metrics of LunaCAM models in plasma samples

From: Early detection and stratification of lung cancer aided by a cost-effective assay targeting circulating tumor DNA (ctDNA) methylation

 

LunaCAM-S model

LunaCAM-D model

  

Total

Negative

Positive

Sensitivity

(95% CI)

Specificity

(95% CI)

Total

Negative

Positive

Sensitivity

(95% CI)

Specificity

(95% CI)

Plasma (model building set)

 

Cancer

190

(training)

16

174

91.6%(90.1–93.4%)

-

190

(training)

83

107

56.3%(52.6–59.9%)

-

 

Benign

135

(test)

57

78

-

42.2%(38.0-46.3%)

135

(training)

132

3

-

97.8%(97.2–99.1%)

 

Health

188

(training)

113

75

-

60.1%(56.7–63.3%)

188

(test)

166

22

-

88.3%(86.0-90.7%)

Plasma (Independent validation set)

 

Cancer

64

6

58

90.6%(88.2–94.1%)

-

64

29

33

51.6%(45.1–56.9%)

-

 

Benign

45

17

28

-

37.8%(30.6–44.4%)

45

42

3

-

93.3%(91.7–97.2%)

 

Health

63

39

24

-

61.9%(56.0–68.0%)

63

53

10

-

84.1%(80.0–88.0%)

Plasma (Total)

 

Cancer

254

    

254

    
 

I

108

14

94

87.0%(83.7–90.7%)

-

108

55

53

49.1%(44.2–53.5%)

-

 

II

38

2

36

94.7%(93.3–100.0%)

-

38

15

23

60.5%(53.3–70.0%)

-

 

III/IV

108

6

102

94.4%(93.0-96.5%)

-

108

44

64

59.3%(54.7–64.0%)

-

 

Health

251

152

99

-

60.6%(57.5–63.5%)

251

219

32

-

87.3%(85.5–89.5%)

 

Benign

180

74

106

-

41.1%(37.5–44.4%)

180

174

6

-

96.7%(95.8–97.9%)