Longitudinal study of COPD phenotypes using integrated SPECT and qCT imaging
In conclusion, this study found strong positive cross-sectional correlations between CV<sub>Total</sub> and both fSAD% and Emph%, suggesting that these markers primarily reflect static disease severity at a single time point. In contrast, longitudinal correlations between changes in TC<sub>Max</sub> and other variables over 2 years may capture the dynamic process of hot spot formation, independent of disease severity. These findings suggest that changes in TC<sub>Max</sub> may serve as a more sensitive biomarker than changes in CV<sub>Total</sub> for tracking the underlying mechanisms of COPD progression.
Authors
- Eric A. Hoffman (ORCID: https://orcid.org/0000-0001-8456-9437)
- Frank Li (ORCID: https://orcid.org/0000-0002-1697-2002)
- Alejandro P. Comellas (ORCID: https://orcid.org/0000-0003-1521-7520)
- Michael M. Graham (ORCID: https://orcid.org/0000-0002-6374-4766)
- Ching-Long Lin
- Xuan Zhang (ORCID: https://orcid.org/0000-0003-3845-3374)
Institutions
- University of Iowa (US)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.3389/fphys.2025.1555230
- Citations
- 1
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 1.52