Case Study

Nigeria – Community ACF with Delft Light & CAD4TB

Community-based active TB case finding in Delta State using portable digital X-ray with CAD4TB achieved high screening coverage, full evaluation of presumptive cases, and a high TB yield, demonstrating the value of AI-supported screening in community settings.

Implemented in Delta State

Active TB case finding was implemented in Delta State to improve early detection at the community level.

Using ultra-PDX with CAD4TB

Portable digital X-ray systems with CAD4TB were used to screen clients and identify presumptive TB cases.

Molecular diagnostic evaluation

Presumptive TB cases were evaluated using WHO-recommended molecular rapid diagnostic tests.

Targeted community outreach

Screening focused on improving evaluation rates and access to TB diagnostics across communities.

Result

In the 2022 screening period, a total of 14,280 clients were screened for TB using PDX-CAD.

1 ,426 clients
identified as presumptive TB
100 %
of presumptive cases evaluated
  • A total of 19% of clients screened were confirmed to have TB (n=1,426; 270).
  • Of these, 76% (n=268; 204) were clinically diagnosed through expert X-ray review, 1% (n=268; 2) were diagnosed using Truenat MTB-RIF, and 23% (n=268; 62) were diagnosed using Xpert MTB-RIF.
Conclusion
  • Portable digital X-ray with CAD4TB achieved a high TB yield in community active case finding.
  • Deploying more PDX-CAD systems could further increase TB detection.
  • Targeted active case finding and support services enable early diagnosis, effective treatment, and reduced TB transmission.

REFERENCE: Wali, Y. (2023, November 15-18). The role of artificial intelligence in community active TB case-finding: a review of portable digital X-ray with computer-aided detection activities in Delta State, Nigeria [Conference session]. The Union World Conference on Lung Health 2023, Paris, France.