Quantifying the spatial clustering characteristics of radiographic emphysema explains variability in pulmonary function.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
24 08 2023
24 08 2023
Historique:
received:
27
04
2023
accepted:
18
08
2023
medline:
28
8
2023
pubmed:
25
8
2023
entrez:
24
8
2023
Statut:
epublish
Résumé
Quantitative assessment of emphysema in CT scans has mostly focused on calculating the percentage of lung tissue that is deemed abnormal based on a density thresholding strategy. However, this overall measure of disease burden discards virtually all the spatial information encoded in the scan that is implicitly utilized in a visual assessment. This simplification is likely grouping heterogenous disease patterns and is potentially obscuring clinical phenotypes and variable disease outcomes. To overcome this, several methods that attempt to quantify heterogeneity in emphysema distribution have been proposed. Here, we compare three of those: one based on estimating a power law for the size distribution of contiguous emphysema clusters, a second that looks at the number of emphysema-to-emphysema voxel adjacencies, and a third that applies a parametric spatial point process model to the emphysema voxel locations. This was done using data from 587 individuals from Phase 1 of COPDGene that had an inspiratory CT scan and plasma protein abundance measurements. The associations between these imaging metrics and visual assessment with clinical measures (FEV[Formula: see text], FEV[Formula: see text]-FVC ratio, etc.) and plasma protein biomarker levels were evaluated using a variety of regression models. Our results showed that a selection of spatial measures had the ability to discern heterogeneous patterns among CTs that had similar emphysema burdens. The most informative quantitative measure, average cluster size from the point process model, showed much stronger associations with nearly every clinical outcome examined than existing CT-derived emphysema metrics and visual assessment. Moreover, approximately 75% more plasma biomarkers were found to be associated with an emphysema heterogeneity phenotype when accounting for spatial clustering measures than when they were excluded.
Identifiants
pubmed: 37620507
doi: 10.1038/s41598-023-40950-8
pii: 10.1038/s41598-023-40950-8
pmc: PMC10449810
doi:
Banques de données
ClinicalTrials.gov
['NCT00608764']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
13862Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL089856
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL089897
Pays : United States
Informations de copyright
© 2023. Springer Nature Limited.
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