CT trachea surface roughness is associated with chronic obstructive pulmonary disease symptoms

Author:

Bartlett Jason T1ORCID,Hogg James C2ORCID,Bourbeau Jean34ORCID,Tan Wan C2ORCID,Kirby Miranda1

Affiliation:

1. Department of Physics, Toronto Metropolitan University , Toronto, ON, M5B 2K3, Canada

2. Center for Heart, Lung Innovation, University of British Columbia , Vancouver, BC, V6Z 1Y6, Canada

3. McGill University Health Centre, Montreal Chest Institute of the Royal Victoria Hospital , Montreal, QC, H4A 3J1, Canada

4. Respiratory Epidemiology and Clinical Research Unit, Research Institute of McGill University Health Centre , Montreal, QC, H4A 3S5, Canada

Abstract

Abstract Background Trachea structural abnormalities occur in patients with chronic obstructive pulmonary disease (COPD), yet there are few methods for quantifying trachea surface topology. Purpose To develop a method to quantify trachea surface roughness on CT imaging and investigate the association with airflow limitation and symptoms in COPD. Materials and Methods Participants from the multicenter prospective Canadian Cohort Obstructive Lung Disease study between 2009 and 2015 underwent CT imaging and analysis. Established CT measurements included: tracheal index (TI), defined as the smallest ratio of coronal-to-sagittal trachea diameter, low attenuation areas below –950 HU, and wall thickness of a theoretical 10-mm airway. Trachea surface roughness shape (SRS) was calculated as the percent fraction of the measurement box filled by the surface mesh. Multivariable regression models were used to determine association for CT measurements with forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC), and Medical Research Council dyspnea scale (MRC)≥3, adjusting for covariates. Results A total of 1253 participants (mean age, 66 ± 10 years; 727 men) from 9 centers were investigated: n = 267 never smokers, n = 369 ever smokers, n = 352 mild COPD, and n = 265 moderate-to-severe COPD. There were no differences between groups for age or race (P < .05). In models including SRS and TI, a 1-standard deviation (SD) increase in SRS was independently associated with a 0.11-SD decrease in FEV1 (β = –0.11; P < .001) and a 0.16-SD decrease in FEV1/FVC (β = –0.16; P < .001); a 1-point increase in SRS was associated with a 13% increased likelihood of MRC ≥ 3 (odds ratio = 1.13; P = .003). In models including SRS, low attenuation areas below –950 HU and wall thickness of a theoretical 10-mm airway, a 1-SD increase in SRS was associated with a 0.21-SD decrease in FEV1 (β = –0.21; P < .001) and a 0.13-SD decrease in FEV1/FVC (β = –0.13; P < .001); a 1-point increase in SRS was associated with a 12% increased likelihood of MRC ≥ 3 (odds ratio = 1.12; P = .006). Conclusion Increased trachea surface shape roughness is independently associated with worse airflow and increased symptom burden in COPD.

Funder

Canadian Institute of Heath Research

Respiratory Health Network of the FRQS

Canadian Respiratory Research Network

Canadian Lung Association

Canadian Thoracic Society

British Columbia Lung Association

Astra Zeneca Canada Inc

Boehringer-Ingelheim Canada Inc

GlaxoSmithKline Canada Inc

Novartis Pharma Canada

Nycomed Canada Inc

Pfizer Canada Ltd

Natural Sciences and Engineering Research Council

Canada Research Chair Program

Publisher

Oxford University Press (OUP)

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