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Open Access Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays

Setting: Tanzania is a high-burden country for tuberculosis (TB), and prisoners are a high-risk group that should be screened actively, as recommended by the World Health Organization. Screening algorithms, starting with chest X-rays (CXRs), can detect asymptomatic cases, but depend on experienced readers, who are scarce in the penitentiary setting. Recent studies with patients seeking health care for TB-related symptoms showed good diagnostic performance of the computer software CAD4TB.

Objective: To assess the potential of computer-assisted screening using CAD4TB in a predominantly asymptomatic prison population.

Design: Cross-sectional study.

Results: CAD4TB and seven health care professionals reading CXRs in local tuberculosis wards evaluated a set of 511 CXRs from the Ukonga prison in Dar es Salaam. Performance was compared using a radiological reference. Two readers performed significantly better than CAD4TB, three were comparable, and two performed significantly worse (area under the curve 0.75 in receiver operating characteristics analysis). On a superset of 1321 CXRs, CAD4TB successfully interpreted >99%, with a predictably short time to detection, while 160 (12.2%) reports were delayed by over 24 h with conventional CXR reading.

Conclusion: CAD4TB reliably evaluates CXRs from a mostly asymptomatic prison population, with a diagnostic performance inferior to that of expert readers but comparable to local readers.

Keywords: chest X-ray; computer-aided diagnosis; tuberculosis

Document Type: Research Article

Affiliations: 1: Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland 2: National Institute of Medical Research, Mbeya Medical Research Center, Mbeya, Tanzania 3: PharmAccess Foundation, Dar es Salaam, Tanzania 4: Department of Tuberculosis Control, Municipal Health Service, Amsterdam, The Netherlands 5: Radboud University Medical Center, Nijmegen, The Netherlands 6: National Institute of Medical Research, Mbeya Medical Research Center, Mbeya, Tanzania, Division of Infectious Disease and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany 7: Muhimbili Medical Research Centre, Dar es Salaam, Tanzania 8: Division of Infectious Disease and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany, German Centre for Infection Research, Munich, Germany 9: National Institute of Medical Research, Mbeya Medical Research Center, Mbeya, Tanzania, Division of Infectious Disease and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany, German Centre for Infection Research, Munich, Germany

Publication date: 21 December 2015

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