CT Imaging-Based Low-Attenuation Super Clusters in Three Dimensions and the Progression of Emphysema.

Autor: Mondoñedo JR; Department of Biomedical Engineering, Boston University College of Engineering, Boston, MA; Boston University School of Medicine, Boston, MA., Sato S; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Oguma T; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Muro S; Department of Respiratory Medicine, Nara Medical University, Nara, Japan., Sonnenberg AH; Department of Systems Engineering, Boston University College of Engineering, Boston, MA., Zeldich D; Department of Biomedical Engineering, Boston University College of Engineering, Boston, MA., Parameswaran H; Department of Bioengineering, Northeastern University, Boston, MA., Hirai T; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Suki B; Department of Biomedical Engineering, Boston University College of Engineering, Boston, MA. Electronic address: bsuki@bu.edu.
Jazyk: angličtina
Zdroj: Chest [Chest] 2019 Jan; Vol. 155 (1), pp. 79-87. Date of Electronic Publication: 2018 Oct 05.
DOI: 10.1016/j.chest.2018.09.014
Abstrakt: Background: Distributions of low-attenuation areas in two-dimensional (2-D) CT lung slices are used to quantify parenchymal destruction in patients with COPD. However, these segmental approaches are limited and may not reflect the true three-dimensional (3-D) tissue processes that drive emphysematous changes in the lung. The goal of this study was to instead evaluate distributions of 3-D low-attenuation volumes, which we hypothesized would follow a power law distribution and provide a more complete assessment of the mechanisms underlying disease progression.
Methods: CT scans and pulmonary function test results were acquired from an observational database for N = 12 patients with COPD and N = 12 control patients. The data set included baseline and two annual follow-up evaluations in patients with COPD. Three-dimensional representations of the lungs were reconstructed from 2-D axial CT slices, with low-attenuation volumes identified as contiguous voxels < -960 Hounsfield units.
Results: Low-attenuation sizes generally followed a power law distribution, with the exception of large, individual outliers termed "super clusters," which deviated from the expected distribution. Super cluster volume was correlated with disease severity (% total low attenuation, ρ = 0.950) and clinical measures of lung function including FEV 1 (ρ = -0.849) and diffusing capacity of the lung for carbon monoxide Dlco (ρ = -0.874). To interpret these results, we developed a personalized computational model of super cluster emergence. Simulations indicated disease progression was more likely to occur near existing emphysematous regions, giving rise to a biomechanical, force-induced mechanism of super cluster growth.
Conclusions: Low-attenuation super clusters are defining, quantitative features of parenchymal destruction that dominate disease progression, particularly in advanced COPD.
(Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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