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Table 3 Performance of F-CAD against WHO's Target Product Profile by reference

From: Applicability of artificial intelligence-based computer-aided detection (AI–CAD) for pulmonary tuberculosis to community-based active case finding

Reference

Xpert results

"abnormality suggestive of TB"

"any abnormality in the lung fields"

Sensitivity95

Actual sensitivity

0.954 (0.902–0.983)

0.951 (0.931–0.967)

0.950 (0.938–0.961)

TB score

0.72

0.36

0.15

Specificity (95%CI)

0.517 (0.488–0.545)

0.747 (0.737–0.757)

0.525 (0.513–0.537)

Sensitivity90

Actual sensitivity

0.900 (0.835–0.946)

0.901 (0.874–0.923)

0.900 (0.884–0.915)

TB score

0.88

0.53

0.28

Specificity (95%CI)

0.621 (0.594–0.648)

0.844 (0.835–0.852)*

0.750 (0.739–0.760)*

Specificity80

Actual specificity

0.800 (0.777–0.822)

0.800 (0.791–0.809)

0.800 (0.790–0.809)

TB score

0.97

0.44

0.34

Sensitivity (95%CI)

0.715 (0.630–0.791)

0.930 (0.907–0.949)

0.879 (0.862–0.895)

Specificity70

Actual specificity

0.700 (0.674–0.726)

0.700 (0.690–0.710)

0.700 (0.689–0.711)

TB score

0.93

0.31

0.25

Sensitivity (95%CI)

0.854 (0.854–0.910)

0.964 (0.946–0.977)*

0.914 (0.899–0.928)

  1. *Significantly over Target Product Profile