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Updated: Jun 16, 2026

Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment
Published on: August 9, 2024
Expiratory pulmonary vascular retention on computed tomography as a marker of asthma severity
Hyunseop Kim1, Sujeong Kim2, So Ri Kim3
1School of Mechanical Engineering & IEDT, Kyungpook National University, Daegu, Korea.
Background:
While chronic airway inflammation and remodeling are well-established features of severe asthma, the associated vascular changes remain poorly understood.
Objective:
We assessed severity-related changes in pulmonary vascular remodeling and their associations with clinical features and computed tomography (CT)-based airway functional measures among patients with asthma.
Methods:
Full inspiratory and normal expiratory CT scans were analyzed from 159 healthy subjects, 53 patients with nonsevere asthma, and 159 patients with severe asthma after 3:1:3 propensity score matching. Total pulmonary blood vessel volume during inspiration and expiration (respectively, TBVIN and TBVEX), vascular compressibility between inspiration and expiration (TBVcomp), and expiratory small-vessel fraction were quantified. Associations with clinical variables and CT-derived indexes-air-trapping percentage (AirT%) and parenchymal deformation (Jacobian)-were assessed by multivariable regression.
Results:
TBVcomp decreased stepwise from healthy subjects to those with nonsevere and severe asthma (P < .05). In multivariable regression analyses with additional adjustment for Jacobian and AirT%, higher TBVEX was significantly associated with worse lung function (lower percentage predicted forced expiratory volume in 1 second [FEV1], β = -0.40; lower FEV1/FVC, β = -0.26) and higher cumulative steroid corticosteroid dose (β = 0.13, all P < .05). Lower TBVcomp remained independently associated with higher blood eosinophil count (β = -0.37, P < .05).
Conclusion:
TBVcomp decreases with increasing asthma severity and remains independently associated with type 2 inflammation and possibly with clinical burden after accounting for lung mechanics. These findings suggest that CT-based expiratory vascular metrics capture intrinsic vascular alterations beyond mechanical factors and may add value for asthma phenotyping and disease monitoring.
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