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Comparison of Hyperpolarized He-MRI, CT Based Parametric Response Mapping, and Mucus Scores in Asthmatics

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Journal Front Physiol
Date 2023 Aug 18
PMID 37593238
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Abstract

The purpose of this study was to anatomically correlate ventilation defects with regions of air trapping by whole lung, lung lobe, and airway segment in the context of airway mucus plugging in asthma. A total of 34 asthmatics [13M:21F, 13 mild/moderate, median age (range) of 49.5 (36.8-53.3) years and 21 severe, 56.1 (47.1-62.6) years] and 4 healthy subjects [1M:3F, 38.5 (26.6-52.2) years] underwent HP He MRI and CT imaging. HP He MRI was assessed for ventilation defects using a semi-automated k-means clustering algorithm. Inspiratory and expiratory CTs were analyzed using parametric response mapping (PRM) to quantify markers of emphysema and functional small airways disease (fSAD). Segmental and lobar lung masks were obtained from CT and registered to HP He MRI in order to localize ventilation defect percent (VDP), at the lobar and segmental level, to regions of fSAD and mucus plugging. Spearman's correlation was utilized to compare biomarkers on a global and lobar level, and a multivariate analysis was conducted to predict segmental fSAD given segmental VDP (sVDP) and mucus score as variables in order to further understand the functional relationships between regional measures of obstruction. On a global level, fSAD was correlated with whole lung VDP ( = 0.65, < 0.001), mucus score ( = 0.55, < 0.01), and moderately correlated (-0.60 r -0.56, < 0.001) to percent predicted (%p) FEV1, FEF25-75 and FEV1/FVC, and more weakly correlated to FVC%p (-0.38 -0.35, < 0.001) as expected from previous work. On a regional level, lobar VDP, mucus scores, and fSAD were also moderately correlated (r from 0.45-0.66, < 0.01). For segmental colocalization, the model of best fit was a piecewise quadratic model, which suggests that sVDP may be increasing due to local airway obstruction that does not manifest as fSAD until more extensive disease is present. sVDP was more sensitive to the presence of a mucus plugs overall, but the prediction of fSAD using multivariate regression showed an interaction in the presence of a mucus plugs when sVDP was between 4% and 10% ( < 0.001). This multi-modality study in asthma confirmed that areas of ventilation defects are spatially correlated with air trapping at the level of the airway segment and suggests VDP and fSAD are sensitive to specific sources of airway obstruction in asthma, including mucus plugs.

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References
1.
Kirby M, Svenningsen S, Kanhere N, Owrangi A, Wheatley A, Coxson H . Pulmonary ventilation visualized using hyperpolarized helium-3 and xenon-129 magnetic resonance imaging: differences in COPD and relationship to emphysema. J Appl Physiol (1985). 2012; 114(6):707-15. DOI: 10.1152/japplphysiol.01206.2012. View

2.
Mummy D, Carey K, Evans M, Denlinger L, Schiebler M, Sorkness R . Ventilation defects on hyperpolarized helium-3 MRI in asthma are predictive of 2-year exacerbation frequency. J Allergy Clin Immunol. 2020; 146(4):831-839.e6. PMC: 7487001. DOI: 10.1016/j.jaci.2020.02.029. View

3.
Bell A, Foy B, Richardson M, Singapuri A, Mirkes E, van den Berge M . Functional CT imaging for identification of the spatial determinants of small-airways disease in adults with asthma. J Allergy Clin Immunol. 2019; 144(1):83-93. DOI: 10.1016/j.jaci.2019.01.014. View

4.
Teague W, Tustison N, Altes T . Ventilation heterogeneity in asthma. J Asthma. 2014; 51(7):677-84. DOI: 10.3109/02770903.2014.914535. View

5.
Jarjour N, Erzurum S, Bleecker E, Calhoun W, Castro M, Comhair S . Severe asthma: lessons learned from the National Heart, Lung, and Blood Institute Severe Asthma Research Program. Am J Respir Crit Care Med. 2011; 185(4):356-62. PMC: 3297096. DOI: 10.1164/rccm.201107-1317PP. View