Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT

Area of Science:

• Pulmonary Medicine
• Medical Imaging
• Computational Fluid Dynamics

Background:

• Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitation and abnormal lung mechanics.
• Quantitative assessment of lung motion heterogeneity is crucial for understanding COPD.
• Dynamic ventilation CT offers a potential tool for evaluating lung deformation.

Purpose of the Study:

• To quantitatively identify abnormal lung motion in COPD using strain analysis.
• To correlate lung motion parameters with spirometric measures.
• To differentiate COPD severity based on lung deformation patterns.

Main Methods:

• 53 high-risk COPD patients underwent dynamic-ventilation CT scans.
• Strain analysis was performed using computational fluid dynamics software (Micro Vec V3.6.2).
• Strain parameters were correlated with spirometry and compared between COPD and non-COPD groups, and across GOLD stages.

Main Results:

• Strain parameters positively correlated with spirometric parameters (ρ=0.275–0.687, P<0.05).
• Strain analysis distinguished COPD from non-COPD patients with moderate diagnostic significance (AUC 0.821–0.894).
• Significant differences in strain parameters were observed between mild and moderate-to-severe COPD (P=0.005; P=0.04).

Conclusions:

• Strain analysis of dynamic CT data quantitatively reflects lung function changes in COPD.
• Lung motion parameters correlate with airflow limitation severity.
• Further investigation is needed for utility in severe COPD cases.