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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...

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Detalles Bibliográficos
Autores principales: Petersson-Sjögren, Madeleine, Chan, Ho-Fung, Collier, Guilhem J., Norquay, Graham, Olsson, Lars E., Wollmer, Per, Löndahl, Jakob, Wild, Jim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
Descripción
Sumario: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.