Delft Light and CAD4TB significantly enhanced TB detection in hard-to-reach areas across eight high TB burden states, showcasing efficient screening and diagnosis with a notable impact on identifying TB cases, especially among men. Discover how this technology is transforming TB care in underserved communities.
- Delft Light and CAD4TB were distributed to eight high TB burden states with many hard-to-reach areas.
- A parallel screening algorithm using the WHO four-symptom screen (W4SS) and CXR with CAD4TB (threshold score at 50) guided screening and identification of presumptive TB.
- From December 2021 to June 2022, 57,732 people were screened.
- Of these, 6,961 (17%) presumptive TB were identified and 1,472 were diagnosed with TB. Among those, 867 (59%) were clinically diagnosed with TB.
- To diagnose a TB case, the Number Needed to Screen was 39 (Female: 50, Male: 34) and the Number Needed to Test was 5 (F: 6, M: 4), which is highly efficient.
- 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.
