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Related Concept Videos

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Computed Tomography-based Subclassification of Chronic Obstructive Pulmonary Disease.

Asger Dirksen1, Mathilde M W Wille2

  • 11 Copenhagen University, Copenhagen, Denmark; and.

Annals of the American Thoracic Society
|April 27, 2016
PubMed
Summary

Computed tomography (CT) shows promise for classifying chronic obstructive pulmonary disease (COPD). While emphysema patterns are recognizable on CT scans, automated subclassification of COPD remains a challenge.

Keywords:
chronic obstructive pulmonary diseaseemphysemaimagingphenotypessmall airways disease

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Medical Imaging

Background:

  • Chronic obstructive pulmonary disease (COPD) involves smoking-related lung damage.
  • Traditionally, COPD is viewed as small airway disease and emphysema.
  • Recent evidence suggests emphysema is key to COPD airflow limitation.

Purpose of the Study:

  • To evaluate computed tomography (CT) for subtyping chronic obstructive pulmonary disease (COPD).
  • To assess the potential of CT in identifying and classifying COPD subtypes, particularly emphysema patterns.

Main Methods:

  • Review of current understanding of COPD pathophysiology and CT imaging.
  • Analysis of the visibility and classification of emphysema patterns using high-resolution CT (HRCT).
  • Discussion of the limitations of automated CT-based subclassification for COPD.

Main Results:

  • CT is a suitable modality for visualizing emphysema, a major component of COPD.
  • Specific emphysema patterns (centrilobular, panlobular, paraseptal) are visually identifiable on HRCT.
  • Automated classification of CT scans into distinct emphysema patterns is not yet feasible.

Conclusions:

  • CT shows potential for COPD subclassification, primarily through emphysema pattern recognition.
  • Automated CT-based subclassification of COPD faces significant challenges.
  • The success of automated CT analysis for COPD may not match that seen in interstitial lung diseases.