A structural and metabolic framework for classifying pre-clinical tuberculosis infection phenotypes using 18F-FDG PET-CT: a prospective cohort analysis following <i>M. tuberculosis</i> exposure.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 38914470.
- Also identified by DOI 10.1136/thorax-2024-221470 and PMC identifier 11671945.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Tuberculosis (TB) control efforts are limited by ineffective characterisation of tuberculosis infection (TBI) -a heterogeneous spectrum of pre-clinical infection states, invisible to tools of routine clinical screening, that are associated with variable risk of progression to TB disease. In this prospective study, we use positron emission tomography-CT (PET-CT) as a high-resolution imaging modality to characterise and classify structural and metabolic features observed in 16 asymptomatic household TB contacts with normal chest radiographs. We identify four feature patterns that associate with distinct clinical and microbiological outcomes, supporting potential utility of PET-CT for objective classification of TBI phenotypes.
Medical subject headings
- Positron Emission Tomography Computed Tomography
- Fluorodeoxyglucose F18
- Radiopharmaceuticals
- Phenotype