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Advanced Technologies for the Diagnosis of Pulmonary Tuberculosis Using Exhaled Breath Samples: A Systematic Scoping
F L Adão-Araújo1, B G Ferreira2, R Pontarolo3
1Postgraduate Program in Internal Medicine and Health Science, Federal University of Paraná, Curitiba, Brazil.
Tropical Medicine & International Health : TM & IH
|January 25, 2026
Summary
Advanced exhaled breath tests show promise for diagnosing pulmonary tuberculosis non-invasively. While some methods achieve high sensitivity, further validation and standardization are needed for real-world application.
Area of Science:
- Respiratory Medicine
- Diagnostic Technologies
- Biomarker Discovery
Background:
- Pulmonary tuberculosis (TB) diagnosis is challenging in resource-limited settings.
- Non-invasive methods using exhaled breath offer potential alternatives to sputum analysis.
- Advanced technologies are being explored for TB detection in breath samples.
Purpose of the Study:
- To map the evidence on advanced technologies for detecting pulmonary TB using exhaled breath.
- To review diagnostic performance metrics of these non-invasive methods.
- To assess the readiness of these technologies for clinical implementation.
Main Methods:
- A comprehensive scoping review of studies published between 2010-2025.
- Searches conducted in major scientific databases (PubMed, Scopus, Web of Science).
- Inclusion of primary studies evaluating physical or chemical diagnostic methods on exhaled breath samples for TB detection.
Main Results:
- 19 studies were included, primarily from high TB-burden countries.
- Electronic nose (e-nose), GC-MS/MS, and ML-MS were the most evaluated techniques.
- While some near point-of-care screening tests met sensitivity requirements, specificity remains a challenge; highest reported performance: 98.5% sensitivity, 100% specificity.
Conclusions:
- Exhaled breath technologies for TB diagnosis are advancing with promising performance.
- Standardized validation, methodological improvements, and real-world field testing are crucial.
- Implementation requires further development to overcome current limitations.
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