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Pulmonary volumes and signs of chronic airflow limitation in quantitative computed tomography.

Authors :
Bäcklin, Emelie
Gonon, Adrian
Sköld, Magnus
Smedby, Örjan
Breznik, Eva
Janerot‐Sjoberg, Birgitta
Source :
Clinical Physiology & Functional Imaging. Jul2024, Vol. 44 Issue 4, p340-348. 9p.
Publication Year :
2024

Abstract

Background: Computed tomography (CT) offers pulmonary volumetric quantification but is not commonly used in healthy individuals due to radiation concerns. Chronic airflow limitation (CAL) is one of the diagnostic criteria for chronic obstructive pulmonary disease (COPD), where early diagnosis is important. Our aim was to present reference values for chest CT volumetric and radiodensity measurements and explore their potential in detecting early signs of CAL. Methods: From the population‐based Swedish CArdioPulmonarybioImage Study (SCAPIS), 294 participants aged 50–64, were categorized into non‐CAL (n = 258) and CAL (n = 36) groups based on spirometry. From inspiratory and expiratory CT images we compared lung volumes, mean lung density (MLD), percentage of low attenuation volume (LAV%) and LAV cluster volume between groups, and against reference values from static pulmonary function test (PFT). Results: The CAL group exhibited larger lung volumes, higher LAV%, increased LAV cluster volume and lower MLD compared to the non‐CAL group. Lung volumes significantly deviated from PFT values. Expiratory measurements yielded more reliable results for identifying CAL compared to inspiratory. Using a cut‐off value of 0.6 for expiratory LAV%, we achieved sensitivity, specificity and positive/negative predictive values of 72%, 85% and 40%/96%, respectively. Conclusion: We present volumetric reference values from inspiratory and expiratory chest CT images for a middle‐aged healthy cohort. These results are not directly comparable to those from PFTs. Measures of MLD and LAV can be valuable in the evaluation of suspected CAL. Further validation and refinement are necessary to demonstrate its potential as a decision support tool for early detection of COPD. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14750961
Volume :
44
Issue :
4
Database :
Academic Search Index
Journal :
Clinical Physiology & Functional Imaging
Publication Type :
Academic Journal
Accession number :
177677329
Full Text :
https://doi.org/10.1111/cpf.12880