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Chronic obstructive pulmonary disease: evaluation with spirometrically controlled CT lung densitometry

R J Lamers1, G R Thelissen, A G Kessels

  • 1Department of Diagnostic Radiology, University Hospital Maastricht, The Netherlands.

Radiology
|October 1, 1994
PubMed
Summary

Computed tomographic (CT) lung densitometry can differentiate between chronic obstructive pulmonary disease (COPD) and healthy individuals. CT scans at 90% and 10% vital capacity (VC) show distinct patterns for COPD patients, potentially aiding disease classification.

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Medical Imaging

Background:

  • Chronic obstructive pulmonary disease (COPD) is a significant global health concern.
  • Accurate differentiation between COPD subtypes and healthy lungs is crucial for effective management.
  • Computed tomographic (CT) lung densitometry offers a quantitative approach to assess lung structure.

Purpose of the Study:

  • To compare CT lung densitometry findings in patients with COPD and healthy control subjects.
  • To evaluate the utility of densitometric parameters in distinguishing between COPD and normal lung function.
  • To assess differences in lung density at various vital capacity levels.

Main Methods:

  • Spirometrically gated CT scans were acquired at 5 cm above and below the carina.

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  • Imaging was performed at 90% and 10% vital capacity (VC) in both COPD patients and controls.
  • Various densitometric parameters were calculated and compared between groups and lung volumes.

    • Main Results:

    • CT densitometry revealed significant differences between emphysema, chronic bronchitis, and control groups at both 90% and 10% VC.
    • Differences between chronic bronchitis patients and controls were significant only at 10% VC.
    • The change in densitometric parameters from 90% to 10% VC was more pronounced in controls than in COPD patients.

    Conclusions:

    • CT lung densitometry can effectively differentiate between COPD and healthy lungs.
    • Classification of lung disease may be achievable using just two CT sections at 90% and 10% VC.
    • This approach holds potential for simplifying lung disease characterization irrespective of the specific densitometric parameter used.