Original investigationComputed Tomography Density Histogram Analysis to Evaluate Pulmonary Emphysema in Ex-smokers
Section snippets
Study Subjects
Ex-smokers were enrolled from the general population and a local tertiary health care center, as previously described 30, 31 with a smoking history of at least 10 pack-years. COPD subjects were categorized according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria 32, 33. All subjects provided written informed consent to the study protocol approved by the local research ethics board and Health Canada, and the study was compliant with the Personal Information
Results
Demographic characteristics are provided in Table 1 for 97 ex-smokers including 44 AE subjects (n = 28 men, mean ± SD age 70 ± 8 years, range 50–85 years) and 53 subjects with COPD (n = 37 men, mean ± SD age 71 ± 9 years, range 48–87 years). Spirometry and plethysmography measurements acquired a few minutes before imaging are also shown and reflect the inclusion criteria for COPD and AE subjects. COPD ex-smokers included 11 subjects with GOLD stage I COPD, 25 subjects with stage II COPD, 13
Discussion
Until very recently, automated methods for the quantification of emphysema have been based on single HU thresholds of the CT density histogram. To address some of the limitations of this robust and straightforward approach, more complex and texture-based methods have been devised and applied to a number of pulmonary conditions 12, 13, 14, 15, 16, 17. This important previous work has broadened our understanding of the information content within thoracic CT, but there is still no consensus about
Acknowledgments
A Owrangi gratefully acknowledges support from the Western Graduate Research Fund provided by The University of Western Ontario (London Canada). Dr Parraga acknowledges salary support from the Canadian Institutes of Health Research New Investigator Award. We also thank S. Halko, S. McKay for clinical coordination, and T. Szekeres for MRI of research subjects.
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Contract Grant Sponsor: Canadian Institutes of Health Research (grants MOP 97748, MOP 106437, and FRN 97687).