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

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          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.

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          Most cited references37

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          Lung volumes and forced ventilatory flows. Report Working Party Standardization of Lung Function Tests, European Community for Steel and Coal. Official Statement of the European Respiratory Society.

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              Diffusion-weighted hyperpolarized 129Xe MRI in healthy volunteers and subjects with chronic obstructive pulmonary disease.

              Given its greater availability and lower cost, (129) Xe apparent diffusion coefficient (ADC) MRI offers an alternative to (3) He ADC MRI. To demonstrate the feasibility of hyperpolarized (129) Xe ADC MRI, we present results from healthy volunteers (HV), chronic obstructive pulmonary disease (COPD) subjects, and age-matched healthy controls (AMC). The mean parenchymal ADC was 0.036 ± 0.003 cm(2) sec(-1) for HV, 0.043 ± 0.006 cm(2) sec(-1) for AMC, and 0.056 ± 0.008 cm(2) sec(-1) for COPD subjects with emphysema. In healthy individuals, but not the COPD group, ADC decreased significantly in the anterior-posterior direction by ∼ 22% (P = 0.006, AMC; 0.0059, HV), likely because of gravity-induced tissue compression. The COPD group exhibited a significantly larger superior-inferior ADC reduction (∼ 28%) than the healthy groups (∼ 24%) (P = 0.00018, HV; P = 3.45 × 10(-5) , AMC), consistent with smoking-related tissue destruction in the superior lung. Superior-inferior gradients in healthy subjects may result from regional differences in xenon concentration. ADC was significantly correlated with pulmonary function tests (forced expiratory volume in 1 sec, r = -0.77, P = 0.0002; forced expiratory volume in 1 sec/forced vital capacity, r = -0.77, P = 0.0002; diffusing capacity of carbon monoxide in the lung/alveolar volume (V(A) ), r = -0.77, P = 0.0002). In healthy groups, ADC increased with age by 0.0002 cm(2) sec(-1) year(-1) (r = 0.56, P = 0.02). This study shows that (129) Xe ADC MRI is clinically feasible, sufficiently sensitive to distinguish HV from subjects with emphysema, and detects age- and posture-dependent changes. Copyright © 2010 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                Jakob.londahl@design.lth.se
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 February 2021
                25 February 2021
                2021
                : 11
                : 4721
                Affiliations
                [1 ]GRID grid.4514.4, ISNI 0000 0001 0930 2361, Division of Ergonomics and Aerosol Technology, Department of Design Sciences and NanoLund, , Lund University, ; Lund, Sweden
                [2 ]GRID grid.11835.3e, ISNI 0000 0004 1936 9262, POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, , University of Sheffield, ; Sheffield, UK
                [3 ]GRID grid.4514.4, ISNI 0000 0001 0930 2361, Department of Translational Medicine, Medical Radiation Physics, , Lund University, ; Malmö, Sweden
                [4 ]GRID grid.4514.4, ISNI 0000 0001 0930 2361, Department of Translational Medicine, Clinical Physiology, , Lund University, ; Malmö, Sweden
                Article
                83975
                10.1038/s41598-021-83975-7
                7907057
                33633165
                4854a096-4800-4c20-87e7-1408c19e71ab
                © 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/.

                History
                : 27 October 2020
                : 10 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003793, Hjärt-Lungfonden;
                Award ID: 2017-0644
                Funded by: FundRef http://dx.doi.org/10.13039/501100006636, Forskningsrådet om Hälsa, Arbetsliv och Välfärd;
                Award ID: 2017-00690
                Funded by: FundRef http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: NIHR-RP-R3-12-027
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/M008894/1
                Funded by: Lund University
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                diagnostic markers,chronic obstructive pulmonary disease,diagnostic devices,imaging techniques and agents

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