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Computed Tomography Registration-Derived Regional Ventilation Indices Compared to Global Lung Function Parameters in
Julien Cohen1,2, Mehdi Shekarnabi3,4, Marie Destors5,6
1Department of Radiology, Grenoble University Hospital, Grenoble, France.
Frontiers in Physiology
|June 20, 2022
Summary
Computed tomography (CT) measures of regional lung function in COPD correlate with global measures like spirometry and exercise capacity. These CT indices reflect airflow obstruction, gas trapping, and nutritional status, serving as potential biomarkers for disease severity.
Area of Science:
- Pulmonary Medicine and Imaging
- Respiratory Physiology
- Biomarker Discovery
Background:
- Computed tomography (CT) registration-derived indices offer insights into regional lung function changes in Chronic Obstructive Pulmonary Disease (COPD).
- The relationship between static, CT-based functional parameters and dynamic, global spirometry measures remains unclear.
- Understanding this relationship is crucial for interpreting CT-derived lung function metrics in COPD.
Purpose of the Study:
- To assess the correlation between CT-derived regional lung function parameters (CT-density change [dHU], specific volume change [dsV], and regional lung tissue deformation [J]) and global lung function.
- To evaluate the association of these CT parameters with gas exchange, exercise capacity, dyspnea, and disease severity (GOLD stage) in COPD patients.
- To identify key predictors of regional lung function metrics from global parameters and patient characteristics.
Main Methods:
- Prospective cohort study involving 102 COPD patients.
- Assessment of regional lung function using CT-density change (dHU), specific volume change (dsV), and regional lung tissue deformation (J).
- Correlation and stepwise regression analyses with spirometric and plethysmographic parameters, DLCO, 6-minute walking distance, and GOLD stage.
Main Results:
- Positive correlations were observed between dHU, dsV, and J with spirometric variables, DLCO, gas exchange, and 6-minute walking distance.
- Negative correlations were found between dHU, dsV, and J with plethysmographic lung volumes, indices of air trapping and lung distension, and GOLD stage.
- FEV1/FVC, RV/TLC, and BMI were identified as significant predictors of CT-based regional lung function metrics.
Conclusions:
- Regional lung function in COPD, as measured by CT, is closely related to global lung function parameters reflecting airflow obstruction and gas trapping.
- Nutritional status, indicated by BMI, also contributes to regional lung function and potentially respiratory muscle strength.
- CT-derived regional lung function metrics show potential as biomarkers for COPD severity, providing mechanistic insights into disease progression.
Keywords:
chronic obstructive pulmonary diseasecomputed tomographyimage processinglung function testsregional lung ventilationMore Related Videos
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