Publication
Title
Exploring the link between a novel approach for computer aided lung sound analysis and imaging biomarkers : a cross-sectional study
Author
Abstract
Background Computer Aided Lung Sound Analysis (CALSA) aims to overcome limitations associated with standard lung auscultation by removing the subjective component and allowing quantification of sound characteristics. In this proof-of-concept study, a novel automated approach was evaluated in real patient data by comparing lung sound characteristics to structural and functional imaging biomarkers. Methods Patients with cystic fibrosis (CF) aged > 5y were recruited in a prospective cross-sectional study. CT scans were analyzed by the CF-CT scoring method and Functional Respiratory Imaging (FRI). A digital stethoscope was used to record lung sounds at six chest locations. Following sound characteristics were determined: expiration-to-inspiration (E/I) signal power ratios within different frequency ranges, number of crackles per respiratory phase and wheeze parameters. Linear mixed-effects models were computed to relate CALSA parameters to imaging biomarkers on a lobar level. Results 222 recordings from 25 CF patients were included. Significant associations were found between E/I ratios and structural abnormalities, of which the ratio between 200 and 400 Hz appeared to be most clinically relevant due to its relation with bronchiectasis, mucus plugging, bronchial wall thickening and air trapping on CT. The number of crackles was also associated with multiple structural abnormalities as well as regional airway resistance determined by FRI. Wheeze parameters were not considered in the statistical analysis, since wheezing was detected in only one recording. Conclusions The present study is the first to investigate associations between auscultatory findings and imaging biomarkers, which are considered the gold standard to evaluate the respiratory system. Despite the exploratory nature of this study, the results showed various meaningful associations that highlight the potential value of automated CALSA as a novel non-invasive outcome measure in future research and clinical practice.
Language
English
Source (journal)
Respiratory research. - London
Publication
London : 2024
ISSN
1465-9921
1465-993X
DOI
10.1186/S12931-024-02810-5
Volume/pages
25 :1 (2024) , p. 1-9
Article Reference
177
ISI
001217098000003
Pubmed ID
38658980
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
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Research group
Publication type
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Affiliation
Publications with a UAntwerp address
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Creation 27.04.2024
Last edited 29.05.2024
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