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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
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Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT.

Yanyan Xu1, Tian Liang2, Yanhui Ma2

  • 1Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People's Republic of China.

International Journal of Chronic Obstructive Pulmonary Disease
|May 16, 2022
PubMed
Summary

Quantitative strain analysis of lung motion using dynamic CT can identify abnormal breathing patterns in patients with chronic obstructive pulmonary disease (COPD). This method shows potential for assessing COPD severity and distinguishing it from non-COPD patients.

Keywords:
CTairflow limitationchronic obstructive pulmonary diseasecomputed tomographydynamic-ventilation CTstrain analysis

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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.