title: Airway wall attenuation: a biomarker of airway disease in subjects with COPD.
abstract: The computed tomographic (CT) densities of imaged structures are a function of the CT scanning protocol, the structure size, and the structure density. For objects that are of a dimension similar to the scanner point spread function, CT will underestimate true structure density. Prior investigation suggests that this process, termed contrast reduction, could be used to estimate the strength of thin structures, such as cortical bone. In this investigation, we endeavored to exploit this process to provide a CT-based measure of airway disease that can assess changes in airway wall thickening and density that may be associated with the mural remodeling process in subjects with chronic obstructive pulmonary disease (COPD). An initial computer-based study using a range of simulated airway wall sizes and densities suggested that CT measures of airway wall attenuation could detect changes in both wall thickness and structure density. A second phantom-based study was performed using a series of polycarbonate tubes of known density. The results of this again demonstrated the process of contrast reduction and further validated the computer-based simulation. Finally, measures of airway wall attenuation, wall thickness, and wall area (WA) divided by total cross-sectional area, WA percent (WA%), were performed in a cohort of 224 subjects with COPD and correlated with spirometric measures of lung function. The results of this analysis demonstrated that wall attenuation is comparable to WA% in predicting lung function on univariate correlation and remain as a statistically significant correlate to the percent forced expiratory volume in 1 s predicted when adjusted for measures of both emphysema and WA%. These latter findings suggest that the quantitative assessment of airway wall attenuation may offer complementary information to WA% in characterizing airway disease in subjects with COPD.
authors.affiliation: Pulmonary and Critical Care Division, Dept. of Medicine, Brigham and Women's Hospital, 75 Francis St., Boston, MA 02115, USA. Gwashko@Partners.org
authors.forename: George R
authors.initials: GR
authors.lastname: Washko
authors.forename: Mark T
authors.initials: MT
authors.lastname: Dransfield
authors.forename: Raúl San José
authors.initials: RS
authors.lastname: Estépar
authors.forename: Alejandro
authors.initials: A
authors.lastname: Diaz
authors.forename: Shin
authors.initials: S
authors.lastname: Matsuoka
authors.forename: Tsuneo
authors.initials: T
authors.lastname: Yamashiro
authors.forename: Hiroto
authors.initials: H
authors.lastname: Hatabu
authors.forename: Edwin K
authors.initials: EK
authors.lastname: Silverman
authors.forename: William C
authors.initials: WC
authors.lastname: Bailey
authors.forename: John J
authors.initials: JJ
authors.lastname: Reilly
mesh_terms: D000368:Aged; D015415:Biomarkers; D005260:Female; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D019047:Phantoms, Imaging; D029424:Pulmonary Disease, Chronic Obstructive / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000503:physiopathology; D012129:Respiratory Function Tests; D012984:Software; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*
chemical_list: D015415:Biomarkers