Time to Exhale: Additional Value of Expiratory Chest CT in Chronic Obstructive Pulmonary Disease

  • Joshua Gawlitza
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Frederik Trinkmann
    Department of Medicine (Cardiology, Angiology, Pulmonary, and Intensive Care), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Hans Scheffel
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Andreas Fischer
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • John W. Nance
    Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
  • Claudia Henzler
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Nils Vogler
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Joachim Saur
    Department of Medicine (Cardiology, Angiology, Pulmonary, and Intensive Care), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Ibrahim Akin
    Department of Medicine (Cardiology, Angiology, Pulmonary, and Intensive Care), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Martin Borggrefe
    Department of Medicine (Cardiology, Angiology, Pulmonary, and Intensive Care), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Stefan O. Schoenberg
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
  • Thomas Henzler
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany

説明

<jats:p><jats:italic>Objectives</jats:italic>. Diagnostic guidelines for chronic obstructive pulmonary disease (COPD) are based on spirometry and clinical criteria. However, this does not address the pathophysiological complexity of the disease sufficiently. Until now, inspiratory chest computed tomography (CT) has been considered as the preferred imaging method in these patients. We hypothesized that expiratory CT may be superior to demonstrate pathophysiological changes. The aim of this prospective study was to systematically compare lung function tests with quantified CT parameters in inspiration and expiration. <jats:italic>Materials and Methods.</jats:italic> Forty-six patients with diagnosed COPD underwent spirometry, body plethysmography, and dose-optimized CT in maximal inspiration and expiration. Four quantified CT parameters were acquired in inspiration, expiration, and their calculated delta values. These parameters were correlated with seven established lung function parameters. <jats:italic>Results</jats:italic>. For inspiratory scans, a weak-to-moderate correlation with the lung function parameters was found. These correlations significantly improved when adding the expiratory scan (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>p</mml:mi><mml:mo><</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math>). Moreover, some parameters showed a significant correlation only in expiratory datasets. Calculated delta values showed even stronger correlation with lung function testing. <jats:italic>Conclusions.</jats:italic> Expiratory quantified CT and calculated delta values significantly improve the correlation with lung function parameters. Thus, an additional expiratory CT may improve image-based phenotyping of patients with COPD.</jats:p>

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