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Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion

Since changes in lung microstructure are important indicators for (early stage) lung pathology, there is a need for quantifiable information of diagnostically challenging cases in a clinical setting, e.g. to evaluate early emphysematous changes in peripheral lung tissue. Considering alveoli as spher...

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Autores principales: Kurz, Felix T., Kampf, Thomas, Buschle, Lukas R., Schlemmer, Heinz-Peter, Heiland, Sabine, Bendszus, Martin, Ziener, Christian H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636373/
https://www.ncbi.nlm.nih.gov/pubmed/26544068
http://dx.doi.org/10.1371/journal.pone.0141894
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author Kurz, Felix T.
Kampf, Thomas
Buschle, Lukas R.
Schlemmer, Heinz-Peter
Heiland, Sabine
Bendszus, Martin
Ziener, Christian H.
author_facet Kurz, Felix T.
Kampf, Thomas
Buschle, Lukas R.
Schlemmer, Heinz-Peter
Heiland, Sabine
Bendszus, Martin
Ziener, Christian H.
author_sort Kurz, Felix T.
collection PubMed
description Since changes in lung microstructure are important indicators for (early stage) lung pathology, there is a need for quantifiable information of diagnostically challenging cases in a clinical setting, e.g. to evaluate early emphysematous changes in peripheral lung tissue. Considering alveoli as spherical air-spaces surrounded by a thin film of lung tissue allows deriving an expression for Carr-Purcell-Meiboom-Gill transverse relaxation rates R (2) with a dependence on inter-echo time, local air-tissue volume fraction, diffusion coefficient and alveolar diameter, within a weak field approximation. The model relaxation rate exhibits the same hyperbolic tangent dependency as seen in the Luz-Meiboom model and limiting cases agree with Brooks et al. and Jensen et al. In addition, the model is tested against experimental data for passively deflated rat lungs: the resulting mean alveolar radius of R (A) = 31.46 ± 13.15 μm is very close to the literature value (∼34 μm). Also, modeled radii obtained from relaxometer measurements of ageing hydrogel foam (that mimics peripheral lung tissue) are in good agreement with those obtained from μCT images of the same foam (mean relative error: 0.06 ± 0.01). The model’s ability to determine the alveolar radius and/or air volume fraction will be useful in quantifying peripheral lung microstructure.
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spelling pubmed-46363732015-11-13 Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion Kurz, Felix T. Kampf, Thomas Buschle, Lukas R. Schlemmer, Heinz-Peter Heiland, Sabine Bendszus, Martin Ziener, Christian H. PLoS One Research Article Since changes in lung microstructure are important indicators for (early stage) lung pathology, there is a need for quantifiable information of diagnostically challenging cases in a clinical setting, e.g. to evaluate early emphysematous changes in peripheral lung tissue. Considering alveoli as spherical air-spaces surrounded by a thin film of lung tissue allows deriving an expression for Carr-Purcell-Meiboom-Gill transverse relaxation rates R (2) with a dependence on inter-echo time, local air-tissue volume fraction, diffusion coefficient and alveolar diameter, within a weak field approximation. The model relaxation rate exhibits the same hyperbolic tangent dependency as seen in the Luz-Meiboom model and limiting cases agree with Brooks et al. and Jensen et al. In addition, the model is tested against experimental data for passively deflated rat lungs: the resulting mean alveolar radius of R (A) = 31.46 ± 13.15 μm is very close to the literature value (∼34 μm). Also, modeled radii obtained from relaxometer measurements of ageing hydrogel foam (that mimics peripheral lung tissue) are in good agreement with those obtained from μCT images of the same foam (mean relative error: 0.06 ± 0.01). The model’s ability to determine the alveolar radius and/or air volume fraction will be useful in quantifying peripheral lung microstructure. Public Library of Science 2015-11-06 /pmc/articles/PMC4636373/ /pubmed/26544068 http://dx.doi.org/10.1371/journal.pone.0141894 Text en © 2015 Kurz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kurz, Felix T.
Kampf, Thomas
Buschle, Lukas R.
Schlemmer, Heinz-Peter
Heiland, Sabine
Bendszus, Martin
Ziener, Christian H.
Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title_full Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title_fullStr Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title_full_unstemmed Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title_short Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion
title_sort microstructural analysis of peripheral lung tissue through cpmg inter-echo time r2 dispersion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636373/
https://www.ncbi.nlm.nih.gov/pubmed/26544068
http://dx.doi.org/10.1371/journal.pone.0141894
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