Case Study

Nigeria – High TB yield using parallel screening with W4SS and Delft Light & CAD4TB

A man wears the Delft Light backpack and walks in the Nigeria urban settings

KNCV Nigeria has adopted a parallel screening algorithm that combines the WHO 4-symptom screen and portable digital X-ray (PDX) with CAD4TB to help close the gap in missing TB cases.

 

Multi-state deployment

Seven portable Delft Light with CAD4TB were deployed across six states in Nigeria.

Parallel screening criteria

Presumptive TB cases were identified through symptoms or CAD4TB scores of ≥50.

Molecular diagnostic evaluation

All presumptive TB cases were evaluated using GeneXpert, Truenat, or TB LAMP.

Radiologist review of negatives

Bacteriologically negative cases were further reviewed by radiologists.

Conclusion
  • The parallel screening algorithm using the WHO symptom screen and PDX and AI demonstrates a strategic approach to optimizing TB case finding, ensuring that gaps in missing TB cases are closed.
  • This suggests that countries should consider adopting this algorithm when implementing PDX with AI to enhance TB case-finding interventions.
A man wears the Delft Light backpack and walks in the Nigeria urban settings

REFERENCE: Chukwu, E. et al (2024, November 12-16). Parallel Screening Algorithm using WHO symptom screen and portable Digital Xray (PDX) with Artificial Intelligence (AI): A strategic approach to optimize TB case finding [Poster Presentation]. The Union World Conference on Lung Health, Bali, Indonesia.