Back to Search
Start Over
CT appearances of pleural infection: analysis of the Second Multi-centre Intra-pleural Sepsis Trial (MIST 2) cohort.
- Source :
-
Clinical radiology [Clin Radiol] 2021 Jun; Vol. 76 (6), pp. 436-442. Date of Electronic Publication: 2021 Apr 02. - Publication Year :
- 2021
-
Abstract
- Aim: To determine the prevalence of pleural abnormalities and describe the computed tomography (CT) features observed in a well-characterised population of patients with pleural infection.<br />Materials and Methods: A retrospective study of a subgroup of patients from the Second Multi-centre Intra-pleural Sepsis Trial (MIST 2) trial was carried out. Patients were diagnosed with pleural infection on robust clinical criteria. CT examinations were assessed by three observers independently for the presence of predefined features. Planned subgroup comparisons of patients with and without evidence of parenchymal infection were performed.<br />Results: Eighty-one patients were included. Parietal pleural thickening and enhancement were seen in 98.7% of patients. Visceral pleural changes were observed in most, including several previously undescribed features. Consolidation was observed in 61.7% of patients and there was a significant association of parenchymal consolidation with CT evidence of small airways infection (p<0.001) and visceral pleural thickening and enhancement (p<0.05). Features of parenchymal infection were absent in one third of patients.<br />Conclusion: This study provides a comprehensive account of the parietal pleural, visceral pleural, and parenchymal changes of pleural infection on CT. Parenchymal infection is absent in a significant proportion of patients with pleural infection, suggesting that a pneumonic process may not be necessary for the development of pleural infection.<br /> (Copyright © 2021. Published by Elsevier Ltd.)
Details
- Language :
- English
- ISSN :
- 1365-229X
- Volume :
- 76
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Clinical radiology
- Publication Type :
- Academic Journal
- Accession number :
- 33820639
- Full Text :
- https://doi.org/10.1016/j.crad.2020.12.017