Feasibility of the TBDx automated digital microscopy system for the diagnosis of pulmonary tuberculosis.
Pamela NabetaJoshua HavumakiDang Thi Minh HaTatiana CaceresPham Thu HangJimena CollantesNguyen Thi Ngoc LanEduardo GotuzzoClaudia M DenkingerPublished in: PloS one (2017)
While the diagnostic performance of TBDx did not reach the levels obtained by experienced microscopists in reference laboratories, it is conceivable that it would exceed the performance of less experienced microscopists. In the absence of highly sensitive and specific molecular tests at the microscopy centre level, TBDx in a triage-testing algorithm would optimize specificity and limit overall cost without compromising the number of patients receiving up-front drug susceptibility testing for rifampicin. However, the algorithm would miss over one third of patients compared to Xpert alone.
Keyphrases
- pulmonary tuberculosis
- machine learning
- deep learning
- mycobacterium tuberculosis
- single molecule
- end stage renal disease
- high throughput
- high resolution
- ejection fraction
- newly diagnosed
- emergency department
- high speed
- chronic kidney disease
- label free
- optical coherence tomography
- prognostic factors
- peritoneal dialysis
- single cell
- tandem mass spectrometry
- electronic health record