Diagnostic accuracy of Computer-Aided Detection for Tuberculosis® and Stool Xpert for detecting TB in prospectively recruited West African children
Sheila Agyeiwaa
Owusu
;
Victory F
Edem
;
Esin
Nkereuwem
;
Adwoa KA
Afrane
;
Kwabena A
Osman
;
Madikoi
DANSO
;
Mercy N
Anarfi
;
Arnauld
Fiogbe
;
Dissou
Affolabi
;
Schadrac
Agbla
;
+2 more...
Audrey G
Forson
;
Toyin O
Togun PhD FFPH
;
(2025)
Diagnostic accuracy of Computer-Aided Detection for Tuberculosis® and Stool Xpert for detecting TB in prospectively recruited West African children.
In: Research Degrees Student Poster Day, 3 April 2025, London School of Hygiene & Tropical Medicine.
DOI: 10.17037/PUBS.04676690
;
Victory F
Edem
;
Esin
Nkereuwem
;
Adwoa KA
Afrane
;
Kwabena A
Osman
;
Madikoi
DANSO
;
Mercy N
Anarfi
;
Arnauld
Fiogbe
;
Dissou
Affolabi
;
Schadrac
Agbla
;
+2 more...
Audrey G
Forson
;
Toyin O
Togun PhD FFPH
;
(2025)
Diagnostic accuracy of Computer-Aided Detection for Tuberculosis® and Stool Xpert for detecting TB in prospectively recruited West African children.
In: Research Degrees Student Poster Day, 3 April 2025, London School of Hygiene & Tropical Medicine.
DOI: 10.17037/PUBS.04676690
Introduction
• Tuberculosis (TB) diagnosis in children is challenging due to the difficulty in obtaining sputum and the subjectivity of Chest X-ray interpretation.
• Therefore, most of these cases are clinically diagnosed, resulting in a wide case detection gap. Non-sputum-based TB diagnostic tests remain a priority.
• We evaluated the diagnostic accuracy of CAD4TB software and Stool Xpert for diagnosing TB in prospectively recruited children in three West African countries
-
picture_as_pdf - OWUSU_research-day-poster-2025.pdf
-
subject - Published Version
-
- Available under Creative Commons: Attribution 4.0
Downloads