Peer-Reviewed Publication
PLOS Glob Public Health2023;3(5):e0001799.January 1, 2023Journal Article
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children.
Megan Palmer1, James A Seddon1,2, Marieke M van der Zalm1, Anneke C Hesseling1, Pierre Goussard3, H Simon Schaaf1, Julie Morrison3, Bram van Ginneken4, Jaime Melendez4,5, Elisabetta Walters1,6, Keelin Murphy4
1Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Demond Tutu TB Centre, Stellenbosch University, Cape Town, South Africa.
2Department of Infectious Disease, Imperial College London, London, United Kingdom.
3Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa.
4Radboud University Medical Center, Nijmegen, The Netherlands.
5Delft Imaging, 's-Hertogenbosch, The Netherlands.
6Newcastle-upon-Tyne NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.
Abstract
Diagnostic tools for paediatric tuberculosis remain limited, with heavy reliance on clinical algorithms which include chest x-ray. Computer aided detection (CAD) for tuberculosis on chest x-ray has shown promise in adults. We aimed to measure and optimise the performance of an adult CAD system, CAD4TB, to identify tuberculosis on chest x-rays from children with presumptive tuberculosis. Chest x-ra…
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