Detection of other pathologies when utilising computer-assisted digital solutions for TB screening.

ABSTRACT:

Background

Computer-aided detection (CAD) tools for TB detection have the potential to enable screening programmes and reduce the diagnostic gap in settings where access to radiologists is limited. However, there are concerns that other common chest X-ray (CXR) abnormalities not due to TB may be missed.

Methods

We assessed the performance of three commercialised CAD tools (qXR, INSIGHT CXR and DrAID^TM TB XR) to detect common non-TB abnormalities against readings with a standardised annotation guide by an expert radiologist. More than 20 well-characterised diagnoses besides TB significant in TB high-burden countries were examined.

Results

The 517 CXRs included were deemed abnormal by the three CAD with a sensitivity of respectively 97% (95% CI 95-98), 94% (9

SUBMITTER: Sebastian J 

PROVIDER: S-EPMC11636493 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature