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Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI
Enlargements of distal airspaces can indicate pathological changes in the lung, but accessible and precise techniques able to measure these regions are lacking. Airspace Dimension Assessment with inhaled nanoparticles (AiDA) is a new method developed for in vivo measurement of distal airspace dimens...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907057/ https://www.ncbi.nlm.nih.gov/pubmed/33633165 http://dx.doi.org/10.1038/s41598-021-83975-7 |
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author | Petersson-Sjögren, Madeleine Chan, Ho-Fung Collier, Guilhem J. Norquay, Graham Olsson, Lars E. Wollmer, Per Löndahl, Jakob Wild, Jim M. |
author_facet | Petersson-Sjögren, Madeleine Chan, Ho-Fung Collier, Guilhem J. Norquay, Graham Olsson, Lars E. Wollmer, Per Löndahl, Jakob Wild, Jim M. |
author_sort | Petersson-Sjögren, Madeleine |
collection | PubMed |
description | Enlargements of distal airspaces can indicate pathological changes in the lung, but accessible and precise techniques able to measure these regions are lacking. Airspace Dimension Assessment with inhaled nanoparticles (AiDA) is a new method developed for in vivo measurement of distal airspace dimensions. The aim of this study was to benchmark the AiDA method against quantitative measurements of distal airspaces from hyperpolarised (129)Xe diffusion-weighted (DW)-lung magnetic resonance imaging (MRI). AiDA and (129)Xe DW-MRI measurements were performed in 23 healthy volunteers who spanned an age range of 23–70 years. The relationship between the (129)Xe DW-MRI and AiDA metrics was tested using Spearman’s rank correlation coefficient. Significant correlations were observed between AiDA distal airspace radius (r(AiDA)) and mean (129)Xe apparent diffusion coefficient (ADC) (p < 0.005), distributed diffusivity coefficient (DDC) (p < 0.001) and distal airspace dimension (Lm(D)) (p < 0.001). A mean bias of − 1.2 µm towards r(AiDA) was observed between (129)Xe Lm(D) and r(AiDA), indicating that r(AiDA) is a measure of distal airspace dimension. The AiDA R(0) intercept correlated with MRI (129)Xe α (p = 0.02), a marker of distal airspace heterogeneity. This study demonstrates that AiDA has potential to characterize the distal airspace microstructures and may serve as an alternative method for clinical examination of the lungs. |
format | Online Article Text |
id | pubmed-7907057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79070572021-02-26 Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI Petersson-Sjögren, Madeleine Chan, Ho-Fung Collier, Guilhem J. Norquay, Graham Olsson, Lars E. Wollmer, Per Löndahl, Jakob Wild, Jim M. Sci Rep Article Enlargements of distal airspaces can indicate pathological changes in the lung, but accessible and precise techniques able to measure these regions are lacking. Airspace Dimension Assessment with inhaled nanoparticles (AiDA) is a new method developed for in vivo measurement of distal airspace dimensions. The aim of this study was to benchmark the AiDA method against quantitative measurements of distal airspaces from hyperpolarised (129)Xe diffusion-weighted (DW)-lung magnetic resonance imaging (MRI). AiDA and (129)Xe DW-MRI measurements were performed in 23 healthy volunteers who spanned an age range of 23–70 years. The relationship between the (129)Xe DW-MRI and AiDA metrics was tested using Spearman’s rank correlation coefficient. Significant correlations were observed between AiDA distal airspace radius (r(AiDA)) and mean (129)Xe apparent diffusion coefficient (ADC) (p < 0.005), distributed diffusivity coefficient (DDC) (p < 0.001) and distal airspace dimension (Lm(D)) (p < 0.001). A mean bias of − 1.2 µm towards r(AiDA) was observed between (129)Xe Lm(D) and r(AiDA), indicating that r(AiDA) is a measure of distal airspace dimension. The AiDA R(0) intercept correlated with MRI (129)Xe α (p = 0.02), a marker of distal airspace heterogeneity. This study demonstrates that AiDA has potential to characterize the distal airspace microstructures and may serve as an alternative method for clinical examination of the lungs. Nature Publishing Group UK 2021-02-25 /pmc/articles/PMC7907057/ /pubmed/33633165 http://dx.doi.org/10.1038/s41598-021-83975-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Petersson-Sjögren, Madeleine Chan, Ho-Fung Collier, Guilhem J. Norquay, Graham Olsson, Lars E. Wollmer, Per Löndahl, Jakob Wild, Jim M. Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title | Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title_full | Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title_fullStr | Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title_full_unstemmed | Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title_short | Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised (129)Xe diffusion-weighted lung MRI |
title_sort | airspace dimension assessment (aida) by inhaled nanoparticles: benchmarking with hyperpolarised (129)xe diffusion-weighted lung mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907057/ https://www.ncbi.nlm.nih.gov/pubmed/33633165 http://dx.doi.org/10.1038/s41598-021-83975-7 |
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