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April 1, 2015American Journal of Respiratory and Critical Care Medicine

Performance of a Novel Algorithm Using Automated Digital Microscopy for Diagnosing Tuberculosis

Nazir Ismail Shaheed Vally Omar James Lewis David W. Dowdy Andries Dreyer Hermina van der Meulen George Nconjana David A. Clark Gavin Churchyard

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Key Points

Assess the performance of TBDx automated microscopy in TB diagnosis using diagnostic algorithms.
Prospective samples from patients presumed to have TB were processed.
TBDx microscopy performance was compared with conventional smear microscopy and liquid culture.
Sensitivity and specificity of TBDx algorithms were evaluated against gold standard liquid culture.
TBDx algorithm with GXP testing showed 78% sensitivity and 99.8% specificity in diagnosing active TB.
Stand-alone TBDx had 62% sensitivity and 99.7% specificity; performance comparable to experienced TB microscopists.
21% of samples required GXP confirmation, reducing workload for TB testing.

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Implication

Evaluates TBDx automated microscopy for diagnosing TB, indicating improved diagnostic accuracy.

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Ismail et al. (2015) studied this question.

synapsesocial.com/papers/6a241500c3996b49c1d31a8a https://doi.org/10.1164/rccm.201502-0390oc

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