Abstract:
OBJECTIVES:To study the effect of inspiration on airway dimensions measured in voluntary inspiration breath-hold examinations. METHODS:961 subjects with normal spirometry were selected from the Danish Lung Cancer Screening Trial. Subjects were examined annually for five years with low-dose CT. Automated software was utilized to segment lungs and airways, identify segmental bronchi, and match airway branches in all images of the same subject. Inspiration level was defined as segmented total lung volume (TLV) divided by predicted total lung capacity (pTLC). Mixed-effects models were used to predict relative change in lumen diameter (ALD) and wall thickness (AWT) in airways of generation 0 (trachea) to 7 and segmental bronchi (R1-R10 and L1-L10) from relative changes in inspiration level. RESULTS:Relative changes in ALD were related to relative changes in TLV/pTLC, and this distensibility increased with generation (p < 0.001). Relative changes in AWT were inversely related to relative changes in TLV/pTLC in generation 3--7 (p < 0.001). Segmental bronchi were widely dispersed in terms of ALD (5.7 ± 0.7 mm), AWT (0.86 ± 0.07 mm), and distensibility (23.5 ± 7.7%). CONCLUSIONS:Subjects who inspire more deeply prior to imaging have larger ALD and smaller AWT. This effect is more pronounced in higher-generation airways. Therefore, adjustment of inspiration level is necessary to accurately assess airway dimensions. KEY POINTS:Airway lumen diameter increases and wall thickness decreases with inspiration. The effect of inspiration is greater in higher-generation (more peripheral) airways. Airways of generation 5 and beyond are as distensible as lung parenchyma. Airway dimensions measured from CT should be adjusted for inspiration level.
journal_name
Eur Radioljournal_title
European radiologyauthors
Petersen J,Wille MM,Rakêt LL,Feragen A,Pedersen JH,Nielsen M,Dirksen A,de Bruijne Mdoi
10.1007/s00330-014-3261-3subject
Has Abstractpub_date
2014-09-01 00:00:00pages
2319-25issue
9eissn
0938-7994issn
1432-1084journal_volume
24pub_type
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