Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series.

ABSTRACT:

Background

Chest X-ray offers high sensitivity and acceptable specificity as a tuberculosis screening tool, but in areas with a high burden of tuberculosis, there is often a lack of radiological expertise to interpret chest X-ray. Computer-aided detection systems based on artificial intelligence are therefore increasingly used to screen for tuberculosis-related abnormalities on digital chest radiographies. The CAD4TB software has previously been shown to demonstrate high sensitivity for chest X-ray tuberculosis-related abnormalities, but it is not yet calibrated for the detection of non-tuberculosis abnormalities. When screening for tuberculosis, users of computer-aided detection need to be aware that other chest pathologies are likely to be as prevalent as, or more prevalent than,

SUBMITTER: Glaser N 

PROVIDER: S-EPMC10464059 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature