CT-Based Local Distribution Metric Improves Characterization of COPD.

Area of Science:

• Pulmonary Medicine
• Radiology
• Computational Biology

Background:

• Parametric response mapping (PRM) aids in Chronic Obstructive Pulmonary Disease (COPD) phenotyping by quantifying functional small airways disease (fSAD).
• Current PRM analysis methods show high variability and may oversimplify 3D data, potentially limiting COPD progression and subtype detection.

Purpose of the Study:

• To develop a novel topological approach for analyzing 3D PRM fSAD data.
• To identify robust imaging biomarkers for COPD diagnosis and progression.

Main Methods:

• Generation of 3D maps of local topological features from 3D PRM fSAD classification maps using topological techniques.
• Correlation of topological features with clinical COPD measures and micro-CT findings in human lung specimens.

Main Results:

• The surface area of fSAD (S fSAD) emerged as the most robust independent indicator of clinically relevant COPD measures.
• Unique S fSAD patterns correlated with structural lung differences observed via micro-CT.
• Longitudinal alterations in S fSAD features were associated with declining pulmonary function, independent of disease extent.

Conclusions:

• The proposed topological analysis of PRM fSAD provides additional COPD characteristics beyond traditional metrics.
• This technique enhances the potential for improved diagnosis and subtyping of COPD patients.