Case Study

Nigeria – TB Detection in correctional centers with Delft Light & CAD4TB

During a TB screening day, Delft Light was used in Nigeria

The combined maximum capacity of two major correctional centers in Oyo State is 590 inmates. However, the actual inmate population has exceeded 1,500, significantly increasing the risk of TB spread among inmates. Consequently, the project introduced the shift from passive to active case-finding in these correctional centers.

Passive case finding phase

Passive TB case finding was conducted in two correctional centers from 2019 to 2021.

Routine TB screening rollout

Routine screening was implemented from 2022 to 2023 using symptom screening and AI-enabled X-ray.

Portable X-ray with AI

Delft Light digital X-ray systems with CAD4TB supported active screening.

Confirmatory testing and review

Presumptive TB cases were tested with GeneXpert, with radiologist review of negative results.

Result

During the period from 2019 to 2021 (36 months),

4 ,500 inmates
were screened
7 1 TB cases
were identified

In the subsequent period from 2022 to 2023 (24 months), screening was conducted using both W4SS, Delft Light and CAD4TB

3 ,200 inmates
were screened
23 9 TB cases
were identified
  • This indicates a 237% increase in TB case detection when combining symptom screening with X-ray and AI, despite the shorter time frame.
During a TB screening day, Delft Light was used in Nigeria
Conclusion
  • Active case-finding through combining W4SS and portable X-ray machines with CAD4TB significantly enhanced TB case detection in correctional centers.
  • These results underscore the importance of addressing the challenges associated with TB spread among inmates.

REFERENCE: Ajayi, O. et al (2024, November 12-16). Role of active case finding and artificial intelligence in significantly increased TB case finding numbers in correctional centers: USAID TB-LONG3 project experience in Oyo State [Presentation]. The Union World Conference on Lung Health, Bali, Indonesia.