Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI

Abstract 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 airspa...

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Autores principales:	Madeleine Petersson-Sjögren, Ho-Fung Chan, Guilhem J. Collier, Graham Norquay, Lars E. Olsson, Per Wollmer, Jakob Löndahl, Jim M. Wild
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d51f7875ffb843e492c34c3cc71168c9
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spelling	oai:doaj.org-article:d51f7875ffb843e492c34c3cc71168c92021-12-02T13:19:22ZAirspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI10.1038/s41598-021-83975-72045-2322https://doaj.org/article/d51f7875ffb843e492c34c3cc71168c92021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83975-7https://doaj.org/toc/2045-2322Abstract 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 129Xe diffusion-weighted (DW)-lung magnetic resonance imaging (MRI). AiDA and 129Xe DW-MRI measurements were performed in 23 healthy volunteers who spanned an age range of 23–70 years. The relationship between the 129Xe 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 129Xe 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 129Xe Lm D and r AiDA, indicating that r AiDA is a measure of distal airspace dimension. The AiDA R 0 intercept correlated with MRI 129Xe 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.Madeleine Petersson-SjögrenHo-Fung ChanGuilhem J. CollierGraham NorquayLars E. OlssonPer WollmerJakob LöndahlJim M. WildNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Madeleine Petersson-Sjögren Ho-Fung Chan Guilhem J. Collier Graham Norquay Lars E. Olsson Per Wollmer Jakob Löndahl Jim M. Wild Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
description	Abstract 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 129Xe diffusion-weighted (DW)-lung magnetic resonance imaging (MRI). AiDA and 129Xe DW-MRI measurements were performed in 23 healthy volunteers who spanned an age range of 23–70 years. The relationship between the 129Xe 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 129Xe 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 129Xe Lm D and r AiDA, indicating that r AiDA is a measure of distal airspace dimension. The AiDA R 0 intercept correlated with MRI 129Xe 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	article
author	Madeleine Petersson-Sjögren Ho-Fung Chan Guilhem J. Collier Graham Norquay Lars E. Olsson Per Wollmer Jakob Löndahl Jim M. Wild
author_facet	Madeleine Petersson-Sjögren Ho-Fung Chan Guilhem J. Collier Graham Norquay Lars E. Olsson Per Wollmer Jakob Löndahl Jim M. Wild
author_sort	Madeleine Petersson-Sjögren
title	Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
title_short	Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
title_full	Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
title_fullStr	Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
title_full_unstemmed	Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI
title_sort	airspace dimension assessment (aida) by inhaled nanoparticles: benchmarking with hyperpolarised 129xe diffusion-weighted lung mri
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d51f7875ffb843e492c34c3cc71168c9
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Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI

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