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Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging
OBJECTIVES: To investigate the use of a fast dynamic hyperpolarised (129)Xe ventilation magnetic resonance imaging (DXeV-MRI) method for detecting and quantifying delayed ventilation in patients with chronic obstructive pulmonary disease (COPD). METHODS: Three male participants (age range 31–43) wit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957546/ https://www.ncbi.nlm.nih.gov/pubmed/31485836 http://dx.doi.org/10.1007/s00330-019-06415-1 |
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author | Chen, Mitchell Doganay, Ozkan Matin, Tahreema McIntyre, Anthony Rahman, Najib Bulte, Daniel Gleeson, Fergus |
author_facet | Chen, Mitchell Doganay, Ozkan Matin, Tahreema McIntyre, Anthony Rahman, Najib Bulte, Daniel Gleeson, Fergus |
author_sort | Chen, Mitchell |
collection | PubMed |
description | OBJECTIVES: To investigate the use of a fast dynamic hyperpolarised (129)Xe ventilation magnetic resonance imaging (DXeV-MRI) method for detecting and quantifying delayed ventilation in patients with chronic obstructive pulmonary disease (COPD). METHODS: Three male participants (age range 31–43) with healthy lungs and 15 patients (M/F = 12:3, age range = 48–73) with COPD (stages II–IV) underwent spirometry tests, quantitative chest computed tomography (QCT), and DXeV-MRI at 1.5-Tesla. Regional delayed ventilation was captured by measuring the temporal signal change in each lung region of interest (ROI) in comparison to that in the trachea. In addition to its qualitative assessment through visual inspection by a clinical radiologist, delayed ventilation was quantitatively captured by calculating a covariance measurement of the lung ROI and trachea signals, and quantified using both the time delay, and the difference between the integrated areas covered by the signal-time curves of the two signals. RESULTS: Regional temporal ventilation, consistent with the expected physiological changes across a free breathing cycle, was demonstrated with DXeV-MRI in all patients. Delayed ventilation was observed in 13 of the 15 COPD patients and involved variable lung ROIs. This was in contrast to the control group, where no delayed ventilation was demonstrated (p = 0.0173). CONCLUSIONS: DXeV-MRI offers a non-invasive way of detecting and quantifying delayed ventilation in patients with COPD, and provides physiological information on regional pulmonary function during a full breathing cycle. KEY POINTS: • Dynamic xenon MRI allows for the non-invasive detection and measurement of delayed ventilation in COPD patients. • Dynamic xenon MRI during a free breathing cycle can provide unique information about pulmonary physiology and pulmonary disease pathophysiology. • With further validation, dynamic xenon MRI could offer a non-invasive way of measuring collateral ventilation which can then be used to guide lung volume reduction therapy (LVRT) for certain COPD patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-06415-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6957546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-69575462020-01-27 Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging Chen, Mitchell Doganay, Ozkan Matin, Tahreema McIntyre, Anthony Rahman, Najib Bulte, Daniel Gleeson, Fergus Eur Radiol Experimental OBJECTIVES: To investigate the use of a fast dynamic hyperpolarised (129)Xe ventilation magnetic resonance imaging (DXeV-MRI) method for detecting and quantifying delayed ventilation in patients with chronic obstructive pulmonary disease (COPD). METHODS: Three male participants (age range 31–43) with healthy lungs and 15 patients (M/F = 12:3, age range = 48–73) with COPD (stages II–IV) underwent spirometry tests, quantitative chest computed tomography (QCT), and DXeV-MRI at 1.5-Tesla. Regional delayed ventilation was captured by measuring the temporal signal change in each lung region of interest (ROI) in comparison to that in the trachea. In addition to its qualitative assessment through visual inspection by a clinical radiologist, delayed ventilation was quantitatively captured by calculating a covariance measurement of the lung ROI and trachea signals, and quantified using both the time delay, and the difference between the integrated areas covered by the signal-time curves of the two signals. RESULTS: Regional temporal ventilation, consistent with the expected physiological changes across a free breathing cycle, was demonstrated with DXeV-MRI in all patients. Delayed ventilation was observed in 13 of the 15 COPD patients and involved variable lung ROIs. This was in contrast to the control group, where no delayed ventilation was demonstrated (p = 0.0173). CONCLUSIONS: DXeV-MRI offers a non-invasive way of detecting and quantifying delayed ventilation in patients with COPD, and provides physiological information on regional pulmonary function during a full breathing cycle. KEY POINTS: • Dynamic xenon MRI allows for the non-invasive detection and measurement of delayed ventilation in COPD patients. • Dynamic xenon MRI during a free breathing cycle can provide unique information about pulmonary physiology and pulmonary disease pathophysiology. • With further validation, dynamic xenon MRI could offer a non-invasive way of measuring collateral ventilation which can then be used to guide lung volume reduction therapy (LVRT) for certain COPD patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-06415-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-09-04 2020 /pmc/articles/PMC6957546/ /pubmed/31485836 http://dx.doi.org/10.1007/s00330-019-06415-1 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Experimental Chen, Mitchell Doganay, Ozkan Matin, Tahreema McIntyre, Anthony Rahman, Najib Bulte, Daniel Gleeson, Fergus Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title | Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title_full | Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title_fullStr | Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title_full_unstemmed | Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title_short | Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging |
title_sort | delayed ventilation assessment using fast dynamic hyperpolarised xenon-129 magnetic resonance imaging |
topic | Experimental |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957546/ https://www.ncbi.nlm.nih.gov/pubmed/31485836 http://dx.doi.org/10.1007/s00330-019-06415-1 |
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