Quantification of heterogeneity in lung disease with image-based pulmonary function testing.

Area of Science:

• Pulmonary Medicine
• Medical Imaging
• Biomedical Engineering

Background:

• Current pulmonary assessments like spirometry and computed tomography (CT) have limitations in detecting early or regional lung diseases.
• Spirometry provides a global measure insensitive to regional variations, while CT has radiation risks and resolution issues, especially for early-stage or patchy lung conditions.
• Detecting peripheral airway obstructions and early lung stiffening remains challenging with existing methods.

Purpose of the Study:

• To develop and validate a novel method for regional pulmonary function assessment using lung tissue motion analysis.
• To evaluate the efficacy of this technique in identifying lung disease characteristics in a relevant animal model.
• To establish regional lung function derived from motion as a potential alternative diagnostic tool.

Main Methods:

• Applied a series of lung tissue motion analyses to quantify expiratory time constants of regional airflows in a segmented airway tree.
• Utilized β-ENaC-overexpressing mice, a model for lung disease, and compared findings with wild-type littermate controls.
• Quantified regional lung function as a measure of airflow characteristics within the lung.

Main Results:

• Demonstrated marked heterogeneity in lung function in β-ENaC-overexpressing mice compared to controls.
• Successfully identified specific locations of airway obstruction within the lung.
• Quantified regions of bimodal airway resistance, indicating compensatory mechanisms within the lung.

Conclusions:

• Regional lung function analysis derived from lung motion is an effective alternative respiratory diagnostic tool.
• This technique offers improved sensitivity for detecting regional lung disease characteristics compared to traditional methods.
• The findings support the potential clinical applicability of motion-based lung function assessment for early disease detection.