Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study.

ABSTRACT:

Background

Computer-aided detection (CAD) software analyses chest x-rays for features suggestive of tuberculosis and provides a numeric abnormality score. However, estimates of CAD accuracy for tuberculosis screening are hindered by the scarcity of confirmatory data among people with lower x-ray scores, including those without symptoms. Additionally, the appropriate x-ray score thresholds for obtaining further testing might vary according to population and client characteristics. We aimed to evaluate the accuracy of CAD among all screened individuals and assess whether stratifying CAD thresholds by age and sex could improve performance.

Methods

In this cross-sectional, diagnostic accuracy study, we screened for tuberculosis in individuals aged 15 years and older in Uganda us

SUBMITTER: Sung J 

PROVIDER: S-EPMC12806173 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature