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Table 4 Blind Test Performance for the 33, 21, and LCDT1 Algorithm (Validation Set)

From: Blood test shows high accuracy in detecting stage I non-small cell lung cancer

 

Model

Statistics

Algorithm 33

Algorithm 21

LCDT1 Algorithm

Accuracy

95.6% (92.4, 97.7%)

94.3% (90.7, 96.8%)

95.6% (92.4, 97.7%)

Sensitivity

89.1% (78.9, 95.3%)

89.1% (78.9, 95.3%)

89.1% (78.9, 95.3%)

Specificity

97.7% (94.6, 99.2%)

96.0% (92.2–98.2%)

97.7% (94.6, 99.2%)

Positive Predictive Value (PPV)

92.5% (83.0, 97.4%)

87.5% (77.0, 94.2%)

92.5% (83.0, 97.4%)

Negative Predictive Value (NPV)

96.6% (93.1, 98.6%)

96.5% (93.0, 98.5%)

96.6% (93.1, 98.6%)

NSCLC Prevalence

24.1%

24.1%

24.1%

True Positive (TP)

49

44

49

True Negative (TN)

169

166

169

False Positive (FP)

4

6

4

False Negative (FN)

6

7

6

  1. All entries show the statistical (95% CI). *Other cancer types were included in the analysis. Each subject consisted of two replicates (N = 2) or two data points processed by the algorithm. If one data point was positive, then the subject was considered positive for LC. Table was generated using R Version 3.4.4