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Automated chest radiography and mass systematic screening for tuberculosis.
- Source :
-
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease [Int J Tuberc Lung Dis] 2020 Jul 01; Vol. 24 (7), pp. 665-673. - Publication Year :
- 2020
-
Abstract
- BACKGROUND: Systematic screening for TB using automated chest radiography (ACR) with computer-aided detection software (CAD4TB) has been implemented at scale in Karachi, Pakistan. Despite evidence supporting the use of ACR as a pre-screen prior to Xpert <superscript>®</superscript> MTB/RIF diagnostic testing in presumptive TB patients, there has been no data published on its use in mass screening in real-world settings. METHOD: Screening was undertaken using mobile digital X-ray vehicles at hospital facilities and community camps. Chest X-rays were offered to individuals aged ≥15 years, regardless of symptoms. Those with a CAD4TB score of ≥70 were offered Xpert testing. The association between Xpert positivity and CAD4TB scores was examined using data collected between 1 January and 30 June 2018 using a custom-built data collection tool. RESULTS: Of the 127 062 individuals screened, 97.2% had a valid CAD4TB score; 11 184 (9.1%) individuals had a CAD4TB score ≥70. Prevalence of Xpert positivity rose from 0.7% in the <50 category to 23.5% in the >90 category. The strong linear association between CAD4TB score and Xpert positivity was found in both community and hospital settings. CONCLUSION: The strong association between CAD4TB scores and Xpert positivity provide evidence that an ACR-based pre-screening performs well when implemented at scale in a high-burden setting.
Details
- Language :
- English
- ISSN :
- 1815-7920
- Volume :
- 24
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
- Publication Type :
- Academic Journal
- Accession number :
- 32718398
- Full Text :
- https://doi.org/10.5588/ijtld.19.0501