Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study
Background: Computed tomography is the gold standard for lung aeration assessment, but exposure to ionizing radiation limits its application. We assessed the ability of magnetic resonance imaging (MRI) to detect changes in lung aeration in ex vivo isolated swine lung and the potential of translation...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-08-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2018.01120/full |
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| author | Lorenzo Ball Lorenzo Ball Lorenzo Ball Lorenzo Ball Anja Braune Peter Spieth Moritz Herzog Karthikka Chandrapatham Karthikka Chandrapatham Volker Hietschold Marcus J. Schultz Nicolò Patroniti Nicolò Patroniti Paolo Pelosi Paolo Pelosi Marcelo Gama de Abreu |
| author_facet | Lorenzo Ball Lorenzo Ball Lorenzo Ball Lorenzo Ball Anja Braune Peter Spieth Moritz Herzog Karthikka Chandrapatham Karthikka Chandrapatham Volker Hietschold Marcus J. Schultz Nicolò Patroniti Nicolò Patroniti Paolo Pelosi Paolo Pelosi Marcelo Gama de Abreu |
| author_sort | Lorenzo Ball |
| collection | DOAJ |
| description | Background: Computed tomography is the gold standard for lung aeration assessment, but exposure to ionizing radiation limits its application. We assessed the ability of magnetic resonance imaging (MRI) to detect changes in lung aeration in ex vivo isolated swine lung and the potential of translation of the findings to human MRI scans.Methods: We performed MRI scans in 11 isolated non-injured and injured swine lungs, as well as 6 patients both pre- and post-operatively. Images were obtained using a 1.5 T MRI scanner, with T1 – weighted volumetric interpolated breath-hold examination (VIBE) and T2 – weighted half-Fourier acquisition single-shot turbo spin-echo (HASTE) sequences. We scanned swine lungs, with reference samples of water and muscle, at different airway pressure levels: 0, 40, 10, 2 cmH2O. We investigated the relations between MRI signal intensity and both lung density and gas content fraction. We analyzed patients’ images according to the findings of the ex vivo model.Results: In the ex vivo samples, the lung T1 – VIBE signal intensity normalized to water or muscle reference signal correlated with lung density (r2 = 0.98). Thresholds for poorly and non-aerated lung tissue, expressed as MRI intensity attenuation factor compared to the deflated lung, were estimated as 0.70 [95% CI: 0.65–0.74] and 0.28 [95% CI: 0.27–0.30], respectively. In patients, dorsal versus ventral regions had a higher MRI signal intensity both pre- and post-operatively (p = 0.031). Comparing post- versus pre-operative scans, lung volume decreased (p = 0.028), while the following increased: MRI signal intensity in ventral (p = 0.043) and dorsal (p < 0.0001) regions, and percentages of non-aerated (p = 0.028) and poorly aerated tissue volumes (p = 0.028).Conclusion: Magnetic resonance imaging signal intensity is a function of lung density, decreasing linearly with increasing gas content. Lung MRI might be useful for estimating lung aeration. Compared to CT, this technique is radiation-free but requires a longer acquisition time and has a lower spatial resolution. |
| first_indexed | 2024-12-16T17:29:12Z |
| format | Article |
| id | doaj.art-4a7f0a22ff5848fba8fa5a2330e5cb88 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-16T17:29:12Z |
| publishDate | 2018-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-4a7f0a22ff5848fba8fa5a2330e5cb882022-12-21T22:22:58ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-08-01910.3389/fphys.2018.01120365168Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational StudyLorenzo Ball0Lorenzo Ball1Lorenzo Ball2Lorenzo Ball3Anja Braune4Peter Spieth5Moritz Herzog6Karthikka Chandrapatham7Karthikka Chandrapatham8Volker Hietschold9Marcus J. Schultz10Nicolò Patroniti11Nicolò Patroniti12Paolo Pelosi13Paolo Pelosi14Marcelo Gama de Abreu15Department of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyDepartment of Surgical Sciences and Integrated Diagnostics, Università degli Studi di Genova, Genoa, ItalyOspedale Policlinico San Martino, Genoa, ItalyDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, NetherlandsDepartment of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyDepartment of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyDepartment of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyDepartment of Surgical Sciences and Integrated Diagnostics, Università degli Studi di Genova, Genoa, ItalyOspedale Policlinico San Martino, Genoa, ItalyDepartment of Radiology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, NetherlandsDepartment of Surgical Sciences and Integrated Diagnostics, Università degli Studi di Genova, Genoa, ItalyOspedale Policlinico San Martino, Genoa, ItalyDepartment of Surgical Sciences and Integrated Diagnostics, Università degli Studi di Genova, Genoa, ItalyOspedale Policlinico San Martino, Genoa, ItalyDepartment of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, GermanyBackground: Computed tomography is the gold standard for lung aeration assessment, but exposure to ionizing radiation limits its application. We assessed the ability of magnetic resonance imaging (MRI) to detect changes in lung aeration in ex vivo isolated swine lung and the potential of translation of the findings to human MRI scans.Methods: We performed MRI scans in 11 isolated non-injured and injured swine lungs, as well as 6 patients both pre- and post-operatively. Images were obtained using a 1.5 T MRI scanner, with T1 – weighted volumetric interpolated breath-hold examination (VIBE) and T2 – weighted half-Fourier acquisition single-shot turbo spin-echo (HASTE) sequences. We scanned swine lungs, with reference samples of water and muscle, at different airway pressure levels: 0, 40, 10, 2 cmH2O. We investigated the relations between MRI signal intensity and both lung density and gas content fraction. We analyzed patients’ images according to the findings of the ex vivo model.Results: In the ex vivo samples, the lung T1 – VIBE signal intensity normalized to water or muscle reference signal correlated with lung density (r2 = 0.98). Thresholds for poorly and non-aerated lung tissue, expressed as MRI intensity attenuation factor compared to the deflated lung, were estimated as 0.70 [95% CI: 0.65–0.74] and 0.28 [95% CI: 0.27–0.30], respectively. In patients, dorsal versus ventral regions had a higher MRI signal intensity both pre- and post-operatively (p = 0.031). Comparing post- versus pre-operative scans, lung volume decreased (p = 0.028), while the following increased: MRI signal intensity in ventral (p = 0.043) and dorsal (p < 0.0001) regions, and percentages of non-aerated (p = 0.028) and poorly aerated tissue volumes (p = 0.028).Conclusion: Magnetic resonance imaging signal intensity is a function of lung density, decreasing linearly with increasing gas content. Lung MRI might be useful for estimating lung aeration. Compared to CT, this technique is radiation-free but requires a longer acquisition time and has a lower spatial resolution.https://www.frontiersin.org/article/10.3389/fphys.2018.01120/fulllungmagnetic resonanceaerationex vivo modelatelectasis |
| spellingShingle | Lorenzo Ball Lorenzo Ball Lorenzo Ball Lorenzo Ball Anja Braune Peter Spieth Moritz Herzog Karthikka Chandrapatham Karthikka Chandrapatham Volker Hietschold Marcus J. Schultz Nicolò Patroniti Nicolò Patroniti Paolo Pelosi Paolo Pelosi Marcelo Gama de Abreu Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study Frontiers in Physiology lung magnetic resonance aeration ex vivo model atelectasis |
| title | Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study |
| title_full | Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study |
| title_fullStr | Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study |
| title_full_unstemmed | Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study |
| title_short | Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study |
| title_sort | magnetic resonance imaging for quantitative assessment of lung aeration a pilot translational study |
| topic | lung magnetic resonance aeration ex vivo model atelectasis |
| url | https://www.frontiersin.org/article/10.3389/fphys.2018.01120/full |
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