Case Study

Nigeria – Community-based TB ACF with Delft Light & CAD4TB

The radiographer is holding the Delft Light in Nigeria

In just four months, a community-based TB active case-finding initiative in Nigeria’s Delta Region screened over 6,000 individuals, identifying and diagnosing numerous TB cases, proving especially effective in hard-to-reach areas.

Community TB case finding

Community outreach was conducted in hard-to-reach rural areas of Nigeria’s Delta Region to improve TB case detection.

Using ultra-PDX with CAD4TB

Delft Light with CAD4TB were used to screen children aged four years and above and adults presenting with TB symptoms.

Identify presumptive TB cases

Individuals with a CAD4TB score of ≥60 were classified as presumptive TB cases and referred for confirmatory testing.

Molecular confirmation

Presumptive TB cases were evaluated using Xpert testing to confirm TB diagnosis.

Result

In 4 months, 6,232 people (children 4+ years and adults) with TB symptoms were enrolled. Of these,

6 ,232 people
screened using CAD4TB
77 8 people
identified as presumptive TB cases
75 7 people
were evaluated by Xpert
7 0 people
diagnosed with TB
  • Number Needed to Screen (NNS) with this approach was more favorable than intervention with WoW mobile clinic.
The radiographer is holding the Delft Light in Nigeria
Conclusion
  • Community-based active case finding with Delft Light and CAD4TB improved TB detection in hard-to-reach rural settings.
  • This approach demonstrated a more favorable Number Needed to Screen compared with WoW mobile clinic interventions.
  • Deploying ultra-portable X-ray with AI supports the identification of missing TB cases among underserved populations.

REFERENCE: The 52nd UNION conference “Optimizing community TB Active Case Finding (ACF)using the Delft Light Backpack (DLB): Preliminary results from a 6-month pilot in Nigeria”, Odume etal., KNCV Nigeria.