Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.
Publication/Presentation Date
8-1-2022
Abstract
Background Clustering key clinical characteristics of participants in the Severe Asthma Research Program (SARP), a large, multicenter prospective observational study of patients with asthma and healthy controls, has led to the identification of novel asthma phenotypes. Purpose To determine whether quantitative CT (qCT) could help distinguish between clinical asthma phenotypes. Materials and Methods A retrospective cross-sectional analysis was conducted with the use of qCT images (maximal bronchodilation at total lung capacity [TLC], or inspiration, and functional residual capacity [FRC], or expiration) from the cluster phenotypes of SARP participants (cluster 1: minimal disease; cluster 2: mild, reversible; cluster 3: obese asthma; cluster 4: severe, reversible; cluster 5: severe, irreversible) enrolled between September 2001 and December 2015. Airway morphometry was performed along standard paths (RB1, RB4, RB10, LB1, and LB10). Corresponding voxels from TLC and FRC images were mapped with use of deformable image registration to characterize disease probability maps (DPMs) of functional small airway disease (fSAD), voxel-level volume changes (Jacobian), and isotropy (anisotropic deformation index [ADI]). The association between cluster assignment and qCT measures was evaluated using linear mixed models. Results A total of 455 participants were evaluated with cluster assignments and CT (mean age ± SD, 42.1 years ± 14.7; 270 women). Airway morphometry had limited ability to help discern between clusters. DPM fSAD was highest in cluster 5 (cluster 1 in SARP III: 19.0% ± 20.6; cluster 2: 18.9% ± 13.3; cluster 3: 24.9% ± 13.1; cluster 4: 24.1% ± 8.4; cluster 5: 38.8% ± 14.4;
Volume
304
Issue
2
First Page
450
Last Page
459
ISSN
1527-1315
Published In/Presented At
Trivedi, A. P., Hall, C., Goss, C. W., Lew, D., Krings, J. G., McGregor, M. C., Samant, M., Sieren, J. P., Li, H., Schechtman, K. B., Schirm, J., McEleney, S., Peterson, S., Moore, W. C., Bleecker, E. R., Meyers, D. A., Israel, E., Washko, G. R., Levy, B. D., Leader, J. K., … NHLBI Severe Asthma Research Program (SARP) (2022). Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts. Radiology, 304(2), 450–459. https://doi.org/10.1148/radiol.210363
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
35471111
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article