scholarly journals Functional respiratory imaging in relation to classical outcome measures in cystic fibrosis: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eline Lauwers ◽  
Annemiek Snoeckx ◽  
Kris Ides ◽  
Kim Van Hoorenbeeck ◽  
Maarten Lanclus ◽  
...  

Abstract Background Functional Respiratory Imaging (FRI) combines HRCT scans with computational fluid dynamics to provide objective and quantitative information about lung structure and function. FRI has proven its value in pulmonary diseases such as COPD and asthma, but limited studies have focused on cystic fibrosis (CF). This study aims to investigate the relation of multiple FRI parameters to validated imaging parameters and classical respiratory outcomes in a CF population. Methods CF patients aged > 5 years scheduled for a chest CT were recruited in a cross-sectional study. FRI outcomes included regional airway volume, airway wall volume, airway resistance, lobar volume, air trapping and pulmonary blood distribution. Besides FRI, CT scans were independently evaluated by 2 readers using the CF-CT score. Spirometry and the 6-Minute Walk Test (6MWT) were also performed. Statistical tests included linear mixed-effects models, repeated measures correlations, Pearson and Spearman correlations. Results 39 CT scans of 24 (17M/7F) subjects were analyzed. Patients were 24 ± 9 years old and had a ppFEV1 of 71 ± 25% at the time of the first CT. All FRI parameters showed significant low-to-moderate correlations with the total CF-CT score, except for lobar volume. When considering the relation between FRI parameters and similar CF-CT subscores, significant correlations were found between parameters related to airway volume, air trapping and airway wall thickening. Air trapping, lobar volume after normal expiration and pulmonary blood distribution showed significant associations with all spirometric parameters and oxygen saturation at the end of 6MWT. In addition, air trapping was the only parameter related to the distance covered during 6MWT. A subgroup analysis showed considerably higher correlations in patients with mild lung disease (ppFEV1 ≥ 70%) compared to patients with moderate to severe lung disease (ppFEV1 < 70%) when comparing FRI to CF-CT scores. Conclusions Multiple structural characteristics determined by FRI were associated with abnormalities determined by CF-CT score. Air trapping and pulmonary blood distribution appeared to be the most clinically relevant FRI parameters for CF patients due to their associations with classical outcome measures. The FRI methodology could particularly be of interest for patients with mild lung disease, although this should be confirmed in future research.

2020 ◽  
Vol 55 (4) ◽  
pp. 929-938 ◽  
Author(s):  
Terry E. Robinson ◽  
Michael L. Goris ◽  
Richard B. Moss ◽  
Lu Tian ◽  
Peiyi Kan ◽  
...  

Lung ◽  
2017 ◽  
Vol 195 (4) ◽  
pp. 445-453 ◽  
Author(s):  
Jan K. Nowak ◽  
Irena Wojsyk-Banaszak ◽  
Edyta Mądry ◽  
Andrzej Wykrętowicz ◽  
Patrycja Krzyżanowska ◽  
...  

Thorax ◽  
2018 ◽  
Vol 74 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Michelle E Wood ◽  
Rebecca E Stockwell ◽  
Graham R Johnson ◽  
Kay A Ramsay ◽  
Laura J Sherrard ◽  
...  

The airborne route is a potential pathway in the person-to-person transmission of bacterial strains among cystic fibrosis (CF) populations. In this cross-sectional study, we investigate the physical properties and survival of common non-Pseudomonas aeruginosa CF pathogens generated during coughing. We conclude that Gram-negative bacteria and Staphylococcus aureus are aerosolised during coughing, can travel up to 4 m and remain viable within droplet nuclei for up to 45 min. These results suggest that airborne person-to-person transmission is plausible for the CF pathogens we measured.


2020 ◽  
Vol 55 (2) ◽  
pp. 394-400 ◽  
Author(s):  
Simone Gambazza ◽  
Riccardo Guarise ◽  
Federica Carta ◽  
Federico Ambrogi ◽  
Marina Mirabella ◽  
...  

2020 ◽  
Vol 105 (9) ◽  
pp. 1571-1578
Author(s):  
Cristiane Cenachi Coelho ◽  
Evanirso da Silva Aquino ◽  
Ana Luiza Reis Diniz ◽  
Mariana da Silva Santos ◽  
Lídia Cunha de Oliveira ◽  
...  

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