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Comparative Study
. 2019 Jul;20(7):1236-1245.
doi: 10.3348/kjr.2019.0083.

Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers

Affiliations
Comparative Study

Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers

Hyun Bin Cho et al. Korean J Radiol. 2019 Jul.

Erratum in

Abstract

Objective: Considering the different prevalence rates of diseases such as asthma and chronic obstructive pulmonary disease in Asians relative to other races, Koreans may have unique airway structure and lung function. This study aimed to investigate unique features of airway structure and lung function based on quantitative computed tomography (QCT)-imaging metrics in the Korean Asian population (Koreans) as compared with the White American population (Whites).

Materials and methods: QCT data of healthy non-smokers (223 Koreans vs. 70 Whites) were collected, including QCT structural variables of wall thickness (WT) and hydraulic diameter (Dh) and functional variables of air volume, total air volume change in the lung (ΔVair), percent emphysema-like lung (Emph%), and percent functional small airway disease-like lung (fSAD%). Mann-Whitney U tests were performed to compare the two groups.

Results: As compared with Whites, Koreans had smaller volume at inspiration, ΔVair between inspiration and expiration (p < 0.001), and Emph% at inspiration (p < 0.001). Especially, Korean females had a decrease of ΔVair in the lower lobes (p < 0.001), associated with fSAD% at the lower lobes (p < 0.05). In addition, Koreans had smaller Dh and WT of the trachea (both, p < 0.05), correlated with the forced expiratory volume in 1 second (R = 0.49, 0.39; all p < 0.001) and forced vital capacity (R = 0.55, 0.45; all p < 0.001).

Conclusion: Koreans had unique features of airway structure and lung function as compared with Whites, and the difference was clearer in female individuals. Discriminating structural and functional features between Koreans and Whites enables exploration of inter-racial differences of pulmonary disease in terms of severity, distribution, and phenotype.

Keywords: Airway wall thickness; Hydraulic luminal diameter; Image registration; Percent emphysema-like lung; Percent functional small airway disease-like lung.

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Conflict of interest statement

Eric A. Hoffman is a shareholder in VIDA diagnostics, a company that is commercializing lung image analysis software derived by the University of Iowa lung imaging group. He is also a member of the Siemens CT advisory board. Sean B. Fain receives grant funding from GE Healthcare. Mark L. Schiebler is a shareholder in Stemina Biomarker Discovery, Inc. and Healthmyne, Inc.

Figures

Fig. 1
Fig. 1. Flow chart of subject selection of male and female subgroups.
Values are presented as mean (standard deviation). COPD = chronic obstructive pulmonary disease, SARP = Severe Asthma Research Program, SPIROMICS = SubPopulations and InteRmediate Outcome Measures In COPD Study
Fig. 2
Fig. 2. A. Five central airways and five subgroups of segmental airway. B. Frontal view of color-coded five lobes.
Hydraulic diameter and wall thickness included regions in A. Percent emphysema-like lung and percent fSAD involved regions in B. BronInt = bronchus intermedius, fSAD = functional small airway disease-like lung, LLL = left lower lobe, LMB = left main bronchus, LUL = left upper lobe, RLL = right lower lobe, RMB = right main bronchus, RML = right middle lobe, RUL = right upper lobe, sLLL = subgrouped LLL including branches of LB6 and LB8 to LB10, sLUL = subgrouped LUL including branches of LB1 to LB5, sRLL = subgrouped RLL including branches of RB6 to RB10, sRML = subgrouped RML including branches of RB4 and RB5, sRUL = subgrouped RUL including branches of RB1 to RB3, TriLLB = trifurcation of left lower bronchus,TriLUL = trifurcation of LUB, TriRLL = trifurcation of RLL, TriRUL = trifurcation of RUB
Fig. 3
Fig. 3. Distribution of ΔVair* (A, B), and fSAD in Korean (left column) and White female (right column) samples (C, D).
Left lateral view is shown, and each cube represents average of about 1000 voxels; voxels in C and D are labeled as 0 (non-fSAD) to 1 (fSAD). ΔVair* = air volume change normalized by median value

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