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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Zach, Jordan A. Williams, Andre Jou, Sung-Shiick Yagihashi, Kunihiro Everett, Douglas Hokanson, John E. Stinson, Douglas Lynch, David A. |
| Spatial Coverage | United States |
| Description | Country affiliation: Japan Author Affiliation: Zach JA ( Divisions of *Radiology Biostatistics and Bioinformatics, National Jewish Health, Denver â ¥Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Aurora, CO Department of Radiology, Soonchunhyang University Hospital, Cheonan, Korea §Department of Radiology, St. Marianna University School of Medicine Kawasaki, Japan.) |
| Abstract | PURPOSE: The purposes of this study were to evaluate the effect of smoking status on quantitative computed tomography CT measures of low-attenuation areas (LAAs) on inspiratory and expiratory CT and to provide a method of adjusting for this effect. MATERIALS AND METHODS: A total of 6762 current and former smokers underwent spirometry and volumetric inspiratory and expiratory CT. Quantitative CT analysis was completed using open-source 3D Slicer software. LAAs were defined as lung voxels with attenuation values ≤-950 Hounsfield units (HU) on inspiratory CT and ≤-856 HU on expiratory CT and were expressed as percentage of CT lung volume (%LAAI-950 and %LAAE-856). Multiple linear regression was used to determine the effect of smoking status on %LAAI-950 and %LAAE-856 while controlling for demographic variables, spirometric lung function, and smoking history, as well as total lung capacity (%LAAI-950) or functional residual capacity (%LAAE-856). Quantile normalization was used to align the %LAAI-950 distributions for current and former smokers. RESULTS: Mean %LAAI-950 was 4.2±7.1 in current smokers and 7.7±9.7 in former smokers (P<0.001). After adjusting for confounders, %LAAI-950 was 3.5 percentage points lower and %LAAE-856 was 6.0 percentage points lower in current smokers than in former smokers (P<0.001). After quantile normalization, smoking status was an insignificant variable in the inspiratory regression model, with %LAAI-950 being 0.27 percentage points higher in current smokers (P=0.13). CONCLUSIONS: After adjusting for patient demographics and lung function, current smokers display significantly lower %LAAI-950 and %LAAE-856 than do former smokers. Potential methods for adjusting for this effect would include adding a fixed value (eg, 3.5%) to the calculated percentage of emphysema in current smokers, or quantile normalization. |
| File Format | HTM / HTML |
| ISSN | 08835993 |
| e-ISSN | 15360237 |
| DOI | 10.1097/RTI.0000000000000181 |
| Journal | Journal of Thoracic Imaging |
| Issue Number | 1 |
| Volume Number | 31 |
| Language | English |
| Publisher | Lippincott Williams & Wilkins |
| Publisher Date | 2016-01-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Discipline Diagnostic Imaging Discipline Pulmonary Medicine Lung Physiopathology Pulmonary Emphysema Epidemiology Smoking Tomography, X-ray Computed Forced Expiratory Volume Physiology Respiration Respiratory Function Tests Statistics & Numerical Data Spirometry Research Support, N.i.h., Extramural Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Pulmonary and Respiratory Medicine Radiology, Nuclear Medicine and Imaging |
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