Nigeria – Finding missing TB cases with Delft Light and CAD4TB
A large-scale community TB screening intervention across high-burden states in Nigeria demonstrated high efficiency in identifying TB cases. Using ultra-portable digital X-ray with CAD4TB and a parallel screening algorithm improved access to quality TB care, particularly among hard-to-reach and underserved populations, including men.
Deployed in high-burden states
Delft Light and CAD4TB were distributed across eight high TB burden states with many hard-to-reach communities.
Parallel TB screening approach
Screening used a parallel algorithm combining the WHO four-symptom screen and chest X-ray with CAD4TB.
Identification of presumptive TB
Individuals with a CAD4TB score of ≥50 and/or TB symptoms were identified as presumptive TB cases.
Community-based TB diagnosis
Presumptive TB cases were evaluated to confirm TB and guide treatment initiation.
From December 2021 to June 2022,
- To diagnose a TB case, the Number Needed to Screen was 39 (female: 50; male: 34).
- The Number Needed to Test was 5 (female: 6; male: 4), indicating high efficiency.
- The ultraportable digital X-ray with CAD has significantly improved to take high-quality TB care to hard-to-reach and vulnerable/underserved populations.
- The interventions have been particularly effective in targeting and finding more men with TB in the community.
REFERENCE: A.Ihesie et al. (2022, November 8-11). Scaling up ultra-portable digital X-ray with computer-aided TB detection in Nigeria. The Union World Conference on Lung Health 2022.