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Zhang Z, Li H, Xiao S, Zhou Q, Liu S, Zhou X, Fan L. Hyperpolarized Gas Imaging in Lung Diseases: Functional and Artificial Intelligence Perspective. Acad Radiol 2024:S1076-6332(24)00014-X. [PMID: 38233260 DOI: 10.1016/j.acra.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
Pathophysiologic changes in lung diseases are often accompanied by changes in ventilation and gas exchange. Comprehensive evaluation of lung function cannot be obtained through chest X-ray and computed tomography. Proton-based lung MRI is particularly challenging due to low proton density within the lung tissue. In this review, we discuss an emerging technology--hyperpolarized gas MRI with inhaled 129Xe, which provides functional and microstructural information and has the potential as a clinical tool for detecting the early stage and progression of certain lung diseases. We review the hyperpolarized 129Xe MRI studies in patients with a range of pulmonary diseases, including chronic obstructive pulmonary disease, asthma, cystic fibrosis, pulmonary hypertension, radiation-induced lung injury and interstitial lung disease, and the applications of artificial intelligence were reviewed as well.
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Affiliation(s)
- Ziwei Zhang
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.)
| | - Haidong Li
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Sa Xiao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Qian Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.)
| | - Shiyuan Liu
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.)
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Li Fan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.).
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Ohno Y, Ozawa Y, Nagata H, Ueda T, Yoshikawa T, Takenaka D, Koyama H. Lung Magnetic Resonance Imaging: Technical Advancements and Clinical Applications. Invest Radiol 2024; 59:38-52. [PMID: 37707840 DOI: 10.1097/rli.0000000000001017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
ABSTRACT Since lung magnetic resonance imaging (MRI) became clinically available, limited clinical utility has been suggested for applying MRI to lung diseases. Moreover, clinical applications of MRI for patients with lung diseases or thoracic oncology may vary from country to country due to clinical indications, type of health insurance, or number of MR units available. Because of this situation, members of the Fleischner Society and of the Japanese Society for Magnetic Resonance in Medicine have published new reports to provide appropriate clinical indications for lung MRI. This review article presents a brief history of lung MRI in terms of its technical aspects and major clinical indications, such as (1) what is currently available, (2) what is promising but requires further validation or evaluation, and (3) which developments warrant research-based evaluations in preclinical or patient studies. We hope this article will provide Investigative Radiology readers with further knowledge of the current status of lung MRI and will assist them with the application of appropriate protocols in routine clinical practice.
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Affiliation(s)
- Yoshiharu Ohno
- From the Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ohno); Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ohno and H.N.); Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ozawa and T.U.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (T.Y., D.T.); and Department of Radiology, Advanced Diagnostic Medical Imaging, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan (H.K.)
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Saunders LC, Collier GJ, Chan HF, Hughes PJC, Smith LJ, Watson JGR, Meiring JE, Gabriel Z, Newman T, Plowright M, Wade P, Eaden JA, Thomas S, Strickland S, Gustafsson L, Bray J, Marshall H, Capener DA, Armstrong L, Rodgers J, Brook M, Biancardi AM, Rao MR, Norquay G, Rodgers O, Munro R, Ball JE, Stewart NJ, Lawrie A, Jenkins RG, Grist JT, Gleeson F, Schulte RF, Johnson KM, Wilson FJ, Cahn A, Swift AJ, Rajaram S, Mills GH, Watson L, Collini PJ, Lawson R, Thompson AAR, Wild JM. Longitudinal Lung Function Assessment of Patients Hospitalized With COVID-19 Using 1H and 129Xe Lung MRI. Chest 2023; 164:700-716. [PMID: 36965765 PMCID: PMC10036146 DOI: 10.1016/j.chest.2023.03.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/14/2023] [Accepted: 03/18/2023] [Indexed: 03/25/2023] Open
Abstract
BACKGROUND Microvascular abnormalities and impaired gas transfer have been observed in patients with COVID-19. The progression of pulmonary changes in these patients remains unclear. RESEARCH QUESTION Do patients hospitalized with COVID-19 without evidence of architectural distortion on structural imaging exhibit longitudinal improvements in lung function measured by using 1H and 129Xe MRI between 6 and 52 weeks following hospitalization? STUDY DESIGN AND METHODS Patients who were hospitalized with COVID-19 pneumonia underwent a pulmonary 1H and 129Xe MRI protocol at 6, 12, 25, and 51 weeks following hospital admission in a prospective cohort study between November 2020 and February 2022. The imaging protocol was as follows: 1H ultra-short echo time, contrast-enhanced lung perfusion, 129Xe ventilation, 129Xe diffusion-weighted, and 129Xe spectroscopic imaging of gas exchange. RESULTS Nine patients were recruited (age 57 ± 14 [median ± interquartile range] years; six of nine patients were male). Patients underwent MRI at 6 (n = 9), 12 (n = 9), 25 (n = 6), and 51 (n = 8) weeks following hospital admission. Patients with signs of interstitial lung damage were excluded. At 6 weeks, patients exhibited impaired 129Xe gas transfer (RBC to membrane fraction), but lung microstructure was not increased (apparent diffusion coefficient and mean acinar airway dimensions). Minor ventilation abnormalities present in four patients were largely resolved in the 6- to 25-week period. At 12 weeks, all patients with lung perfusion data (n = 6) showed an increase in both pulmonary blood volume and flow compared with 6 weeks, although this was not statistically significant. At 12 weeks, significant improvements in 129Xe gas transfer were observed compared with 6-week examinations; however, 129Xe gas transfer remained abnormally low at weeks 12, 25, and 51. INTERPRETATION 129Xe gas transfer was impaired up to 1 year following hospitalization in patients who were hospitalized with COVID-19 pneumonia, without evidence of architectural distortion on structural imaging, whereas lung ventilation was normal at 52 weeks.
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Affiliation(s)
- Laura C Saunders
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Guilhem J Collier
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Ho-Fung Chan
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Paul J C Hughes
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Laurie J Smith
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - J G R Watson
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - James E Meiring
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Zoë Gabriel
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Thomas Newman
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Megan Plowright
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Phillip Wade
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - James A Eaden
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Siby Thomas
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | | | - Lotta Gustafsson
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Jody Bray
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Helen Marshall
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - David A Capener
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Leanne Armstrong
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Jennifer Rodgers
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Martin Brook
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Alberto M Biancardi
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Madhwesha R Rao
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Graham Norquay
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Oliver Rodgers
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Ryan Munro
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - James E Ball
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Neil J Stewart
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Allan Lawrie
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - R Gisli Jenkins
- National Heart and Lung Institute, Imperial College London, London, England
| | - James T Grist
- Department of Radiology, Oxford University Hospitals, Oxford, England; Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, England; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, England
| | - Fergus Gleeson
- Department of Oncology, University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England
| | | | - Kevin M Johnson
- Department of Medical Physics, University of Madison, Madison, WI, USA
| | | | | | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Smitha Rajaram
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Gary H Mills
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Lisa Watson
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Paul J Collini
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England
| | - Rod Lawson
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - A A Roger Thompson
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England
| | - Jim M Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, England.
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Eaden JA, Weatherley ND, Chan HF, Collier G, Norquay G, Swift AJ, Rajaram S, Smith LJ, Bartholmai BJ, Bianchi SM, Wild JM. Hyperpolarised xenon-129 diffusion-weighted magnetic resonance imaging for assessing lung microstructure in idiopathic pulmonary fibrosis. ERJ Open Res 2023; 9:00048-2023. [PMID: 37650085 PMCID: PMC10463035 DOI: 10.1183/23120541.00048-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 06/12/2023] [Indexed: 09/01/2023] Open
Abstract
Background Hyperpolarised 129-xenon (129Xe) magnetic resonance imaging (MRI) shows promise in monitoring the progression of idiopathic pulmonary fibrosis (IPF) due to the lack of ionising radiation and the ability to quantify functional impairment. Diffusion-weighted (DW)-MRI with hyperpolarised gases can provide information about lung microstructure. The aims were to compare 129Xe DW-MRI measurements with pulmonary function tests (PFTs), and to assess whether they can detect early signs of disease progression in patients with newly diagnosed IPF. Methods This is a prospective, single-centre, observational imaging study of patients presenting with IPF to Northern General Hospital (Sheffield, UK). Hyperpolarised 129Xe DW-MRI was performed at 1.5 T on a whole-body General Electric HDx scanner and PFTs were performed on the same day as the MRI scan. Results There was an increase in global 129Xe apparent diffusion coefficient (ADC) between the baseline and 12-month visits (mean 0.043 cm2·s-1, 95% CI 0.040-0.047 cm2·s-1 versus mean 0.045 cm2·s-1, 95% CI 0.040-0.049 cm2·s-1; p=0.044; n=20), with no significant change in PFTs over the same time period. There was also an increase in 129Xe ADC in the lower zone (p=0.027), and an increase in 129Xe mean acinar dimension in the lower zone (p=0.033) between the baseline and 12-month visits. 129Xe DW-MRI measurements correlated strongly with diffusing capacity of the lung for carbon monoxide (% predicted), transfer coefficient of the lung for carbon monoxide (KCO) and KCO (% predicted). Conclusions 129Xe DW-MRI measurements appear to be sensitive to early changes of microstructural disease that are consistent with progression in IPF at 12 months. As new drug treatments are developed, the ability to quantify subtle changes using 129Xe DW-MRI could be particularly valuable.
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Affiliation(s)
- James A. Eaden
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nicholas D. Weatherley
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ho-Fung Chan
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Guilhem Collier
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Graham Norquay
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J. Swift
- Department of Academic Radiology, University of Sheffield, Sheffield, UK
| | - Smitha Rajaram
- Department of Academic Radiology, University of Sheffield, Sheffield, UK
| | - Laurie J. Smith
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Stephen M. Bianchi
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Jim M. Wild
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Insigneo Institute for In-Silico Medicine, University of Sheffield, Sheffield, UK
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Foo CT, Langton D, Thompson BR, Thien F. Functional lung imaging using novel and emerging MRI techniques. Front Med (Lausanne) 2023; 10:1060940. [PMID: 37181360 PMCID: PMC10166823 DOI: 10.3389/fmed.2023.1060940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Respiratory diseases are leading causes of death and disability in the world. While early diagnosis is key, this has proven difficult due to the lack of sensitive and non-invasive tools. Computed tomography is regarded as the gold standard for structural lung imaging but lacks functional information and involves significant radiation exposure. Lung magnetic resonance imaging (MRI) has historically been challenging due to its short T2 and low proton density. Hyperpolarised gas MRI is an emerging technique that is able to overcome these difficulties, permitting the functional and microstructural evaluation of the lung. Other novel imaging techniques such as fluorinated gas MRI, oxygen-enhanced MRI, Fourier decomposition MRI and phase-resolved functional lung imaging can also be used to interrogate lung function though they are currently at varying stages of development. This article provides a clinically focused review of these contrast and non-contrast MR imaging techniques and their current applications in lung disease.
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Affiliation(s)
- Chuan T. Foo
- Department of Respiratory Medicine, Eastern Health, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - David Langton
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- Department of Thoracic Medicine, Peninsula Health, Frankston, VIC, Australia
| | - Bruce R. Thompson
- Melbourne School of Health Science, Melbourne University, Melbourne, VIC, Australia
| | - Francis Thien
- Department of Respiratory Medicine, Eastern Health, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
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Bdaiwi AS, Willmering MM, Wang H, Cleveland ZI. Diffusion weighted hyperpolarized 129 Xe MRI of the lung with 2D and 3D (FLORET) spiral. Magn Reson Med 2023; 89:1342-1356. [PMID: 36352793 PMCID: PMC9892235 DOI: 10.1002/mrm.29518] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 09/21/2022] [Accepted: 10/18/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE To enable efficient hyperpolarized 129 Xe diffusion imaging using 2D and 3D (Fermat Looped, ORthogonally Encoded Trajectories, FLORET) spiral sequences and demonstrate that 129 Xe ADCs obtained using these sequences are comparable to those obtained using a conventional, 2D gradient-recalled echo (GRE) sequence. THEORY AND METHODS Diffusion-weighted 129 Xe MRI (b-values = 0, 7.5, 15 s/cm2 ) was performed in four healthy volunteers and one subject with lymphangioleiomyomatosis using slice-selective 2D-GRE (scan time = 15 s), slice-selective 2D-Spiral (4 s), and 3D-FLORET (16 s) sequences. Experimental SNRs from b-value = 0 images ( SNR 0 EX $$ SNR{0}_{EX} $$ ) and mean ADC values were compared across sequences. In two healthy subjects, a second b = 0 image was acquired using the 2D-Spiral sequence to map flip angle and correct RF-induced, hyperpolarized signal decay at the voxel level, thus improving regional ADC estimates. RESULTS Diffusion-weighted images from spiral sequences displayed image quality comparable to 2D-GRE and produced sufficient SNR 0 EX $$ SNR{0}_{EX} $$ (16.8 ± 3.8 for 2D-GRE, 21.2 ± 3.5 for 2D-Spiral, 20.4 ± 3.5 for FLORET) to accurately calculate ADC. Whole-lung means and SDs of ADC obtained via spiral were not significantly different (P > 0.54) from those obtained via 2D-GRE. Finally, 2D-Spiral images were corrected for signal decay, which resulted in a whole-lung mean ADC decrease of ˜15%, relative to uncorrected images. CONCLUSIONS Relative to GRE, efficient spiral sequences allow 129 Xe diffusion images to be acquired with isotropic lung coverage (3D), higher SNR $$ SNR $$ (2D and 3D), and three-fold faster (2D) within a single breath-hold. In turn, shortened breath-holds enable flip-angle mapping, and thus, allow RF-induced signal decay to be corrected, increasing ADC accuracy.
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Affiliation(s)
- Abdullah S. Bdaiwi
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229,Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH 45221
| | - Matthew M. Willmering
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229
| | - Hui Wang
- Philips Healthcare, Cincinnati, OH 45229, USA
| | - Zackary I. Cleveland
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229,Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH 45221,Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221,Imaging Research Center, Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229,Corresponding Author: Zackary I. Cleveland, Center for Pulmonary Imaging Research, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., MLC-2021, Cincinnati, OH 45229, Telephone: (513) 803-7186, Facsimile: (513) 803-4783,
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Abstract
The need for airway imaging is defined by the limited sensitivity of common clinical tests like spirometry, lung diffusion (DLCO) and blood gas analysis to early changes of peripheral airways and to inhomogeneous regional distribution of lung function deficits. Therefore, X-ray and computed tomography (CT) are frequently used to complement the standard tests.As an alternative, magnetic resonance imaging (MRI) offers radiation-free lung imaging, but at lower spatial resolution. Non-contrast enhanced MRI shows healthy airways down to the first subsegmental level/4th order (CT: eighth). Bronchiectasis can be identified by wall thickening and fluid accumulation. Smaller airways become visible, when altered by peribronchiolar inflammation or mucus retention (tree-in-bud sign).The strength of MRI is functional imaging. Dynamic, time-resolved MRI directly visualizes expiratory airway collapse down to the lobar level (CT: segmental level). Obstruction of even smaller airways becomes visible as air trapping on the expiratory scans. MRI with hyperpolarized noble gases (3He, 129Xe) directly shows the large airways and peripheral lung ventilation. Dynamic contrast-enhanced MRI (DCE MRI) indirectly shows airway dysfunction as perfusion deficits resulting from hypoxic vasoconstriction of the dependent lung volumes. Further promising scientific approaches such as non-contrast enhanced, ventilation-/perfusion-weighted MRI from periodic signal changes of respiration and blood flow are in development.In summary, MRI of the lungs and airways excels with its unique combination of morphologic and functional imaging capacities for research (e.g., in chronic obstructive lung disease or asthma) as well as for clinical imaging (e.g., in cystic fibrosis).
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Affiliation(s)
- Juergen Biederer
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany.,University of Latvia, Faculty of Medicine, Raina bulvaris, Riga, Latvia.,Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Im Neuenheimer Feld, Heidelberg, Germany.,Department of Diagnostic and interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
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Perron S, Ouriadov A. Hyperpolarized 129Xe MRI at low field: Current status and future directions. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2023; 348:107387. [PMID: 36731353 DOI: 10.1016/j.jmr.2023.107387] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/07/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Magnetic Resonance Imaging (MRI) is dictated by the magnetization of the sample, and is thus a low-sensitivity imaging method. Inhalation of hyperpolarized (HP) noble gases, such as helium-3 and xenon-129, is a non-invasive, radiation-risk free imaging technique permitting high resolution imaging of the lungs and pulmonary functions, such as the lung microstructure, diffusion, perfusion, gas exchange, and dynamic ventilation. Instead of increasing the magnetic field strength, the higher spin polarization achievable from this method results in significantly higher net MR signal independent of tissue/water concentration. Moreover, the significantly longer apparent transverse relaxation time T2* of these HP gases at low magnetic field strengths results in fewer necessary radiofrequency (RF) pulses, permitting larger flip angles; this allows for high-sensitivity imaging of in vivo animal and human lungs at conventionally low (<0.5 T) field strengths and suggests that the low field regime is optimal for pulmonary MRI using hyperpolarized gases. In this review, theory on the common spin-exchange optical-pumping method of hyperpolarization and the field dependence of the MR signal of HP gases are presented, in the context of human lung imaging. The current state-of-the-art is explored, with emphasis on both MRI hardware (low field scanners, RF coils, and polarizers) and image acquisition techniques (pulse sequences) advancements. Common challenges surrounding imaging of HP gases and possible solutions are discussed, and the future of low field hyperpolarized gas MRI is posed as being a clinically-accessible and versatile imaging method, circumventing the siting restrictions of conventional high field scanners and bringing point-of-care pulmonary imaging to global facilities.
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Affiliation(s)
- Samuel Perron
- Department of Physics and Astronomy, The University of Western Ontario, London, Ontario, Canada.
| | - Alexei Ouriadov
- Department of Physics and Astronomy, The University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; School of Biomedical Engineering, Faculty of Engineering, The University of Western Ontario, London, Ontario, Canada
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Zhou Q, Li H, Rao Q, Zhang M, Zhao X, Shen L, Fang Y, Li H, Liu X, Xiao S, Shi L, Han Y, Ye C, Zhou X. Assessment of pulmonary morphometry using hyperpolarized 129 Xe diffusion-weighted MRI with variable-sampling-ratio compressed sensing patterns. Med Phys 2023; 50:867-878. [PMID: 36196039 DOI: 10.1002/mp.16018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/26/2022] [Accepted: 09/24/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Hyperpolarized (HP) 129 Xe multiple b-values diffusion-weighted magnetic resonance imaging (DW-MRI) has been widely used for quantifying pulmonary microstructural morphometry. However, the technique requires long acquisition times, making it hard to apply in patients with severe pulmonary diseases, who cannot sustain long breath holds. PURPOSE To develop and evaluate the technique of variable-sampling-ratio compressed sensing (VCS) patterns for accelerating HP 129 Xe multiple b-values DW-MRI in humans. METHODS Optimal variable sampling ratios and corresponding k-space undersampling patterns for each b-value were obtained by retrospective simulations based on the fully sampled (FS) DW-MRI dataset acquired from six young healthy volunteers. Then, the FS datasets were retrospectively undersampled using both VCS patterns and conventional compressed sensing (CS) pattern with a similar average acceleration factor. The quality of reconstructed images with retrospective VCS (rVCS) and CS (rCS) datasets were quantified using mean absolute error (MAE) and structural similarity (SSIM). Pulmonary morphometric parameters were also evaluated between rVCS and FS datasets. In addition, prospective VCS multiple b-values 129 Xe DW-MRI datasets were acquired from 14 cigarette smokers and 13 age-matched healthy volunteers. The differences of lung morphological parameters obtained with the proposed method were compared between the groups using independent samples t-test. Pearson correlation coefficient was also utilized for evaluating the correlation of the pulmonary physiological parameters obtained with VCS DW-MRI and pulmonary function tests. RESULTS Lower MAE and higher SSIM values were found in the reconstructed images with rVCS measurement when compared to those using conventional rCS measurement. The details and quality of the images obtained with rVCS and FS measurements were found to be comparable. The mean values of the morphological parameters derived from rVCS and FS datasets showed no significant differences (p > 0.05), and the mean differences of measured acinar duct radius, mean linear intercept, surface-to-volume ratio, and apparent diffusion coefficient with cylinder model were -0.87%, -2.42%, 2.04%, and -0.50%, respectively. By using the VCS technique, significant differences were delineated between the pulmonary morphometric parameters of healthy volunteers and cigarette smokers (p < 0.001), while the acquisition time was reduced by four times. CONCLUSION A fourfold reduction in acquisition time was achieved using the proposed VCS method while preserving good image quality. Our preliminary results demonstrated that the proposed method can be used for evaluating pulmonary injuries caused by cigarette smoking and may prove to be helpful in diagnosing lung diseases in clinical practice.
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Affiliation(s)
- Qian Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Haidong Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qiuchen Rao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Ming Zhang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiuchao Zhao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Luyang Shen
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yuan Fang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Hongchuang Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoling Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Sa Xiao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lei Shi
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yeqing Han
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chaohui Ye
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xin Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
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10
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Hahn AD, Carey KJ, Barton GP, Torres LA, Kammerman J, Cadman RV, Lee KE, Schiebler ML, Sandbo N, Fain SB. Hyperpolarized 129Xe MR Spectroscopy in the Lung Shows 1-year Reduced Function in Idiopathic Pulmonary Fibrosis. Radiology 2022; 305:688-696. [PMID: 35880982 PMCID: PMC9713448 DOI: 10.1148/radiol.211433] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 04/29/2022] [Accepted: 05/12/2022] [Indexed: 11/11/2022]
Abstract
Background Idiopathic pulmonary fibrosis (IPF) is a temporally and spatially heterogeneous lung disease. Identifying whether IPF in a patient is progressive or stable is crucial for treatment regimens. Purpose To assess the role of hyperpolarized (HP) xenon 129 (129Xe) MRI measures of ventilation and gas transfer in IPF generally and as an early signature of future IPF progression. Materials and Methods In a prospective study, healthy volunteers and participants with IPF were consecutively recruited between December 2015 and August 2019 and underwent baseline HP 129Xe MRI and chest CT. Participants with IPF were followed up with forced vital capacity percent predicted (FVC%p), diffusing capacity of the lungs for carbon monoxide percent predicted (DLco%p), and clinical outcome at 1 year. IPF progression was defined as reduction in FVC%p by at least 10%, reduction in DLco%p by at least 15%, or admission to hospice care. CT and MRI were spatially coregistered and a measure of pulmonary gas transfer (red blood cell [RBC]-to-barrier ratio) and high-ventilation percentage of lung volume were compared across groups and across fibrotic versus normal-appearing regions at CT by using Wilcoxon signed rank tests. Results Sixteen healthy volunteers (mean age, 57 years ± 14 [SD]; 10 women) and 22 participants with IPF (mean age, 71 years ± 9; 15 men) were evaluated, as follows: nine IPF progressors (mean age, 72 years ± 7; five women) and 13 nonprogressors (mean age, 70 years ± 10; 11 men). Reduction of high-ventilation percent (13% ± 6.1 vs 8.2% ± 5.9; P = .03) and RBC-to-barrier ratio (0.26 ± 0.06 vs 0.20 ± 0.06; P = .03) at baseline were associated with progression of IPF. Participants with progressive disease had reduced RBC-to-barrier ratio in structurally normal-appearing lung at CT (0.21 ± 0.07 vs 0.28 ± 0.05; P = .01) but not in fibrotic regions of the lung (0.15 ± 0.09 vs 0.14 ± 0.04; P = .62) relative to the nonprogressive group. Conclusion In this preliminary study, functional measures of gas transfer and ventilation measured with xenon 129 MRI and the extent of fibrotic structure at CT were associated with idiopathic pulmonary fibrosis disease progression. Differences in gas transfer were found in regions of nonfibrotic lung. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Gleeson and Fraser in this issue.
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Affiliation(s)
- Andrew D. Hahn
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Katie J. Carey
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Gregory P. Barton
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Luis A. Torres
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Jeff Kammerman
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Robert V. Cadman
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Kristine E. Lee
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Mark L. Schiebler
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Nathan Sandbo
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
| | - Sean B. Fain
- From the Departments of Medical Physics (A.D.H., K.J.C., G.P.B.,
L.A.T., J.K., R.V.C., S.B.F.), Medicine (R.V.C., N.S.), Biostatistics and
Medical Informatics (K.E.L.), and Radiology (M.L.S.), University of
Wisconsin–Madison, 1111 Highland Ave, Room 1005, Madison, WI 53705;
Department of Medicine, University of Texas Southwestern Medical Center, Dallas,
Tex (G.P.B.); and Department of Radiology, University of Iowa, Iowa City, Iowa
(A.D.H., S.B.F.)
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11
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Cottin V, Selman M, Inoue Y, Wong AW, Corte TJ, Flaherty KR, Han MK, Jacob J, Johannson KA, Kitaichi M, Lee JS, Agusti A, Antoniou KM, Bianchi P, Caro F, Florenzano M, Galvin L, Iwasawa T, Martinez FJ, Morgan RL, Myers JL, Nicholson AG, Occhipinti M, Poletti V, Salisbury ML, Sin DD, Sverzellati N, Tonia T, Valenzuela C, Ryerson CJ, Wells AU. Syndrome of Combined Pulmonary Fibrosis and Emphysema: An Official ATS/ERS/JRS/ALAT Research Statement. Am J Respir Crit Care Med 2022; 206:e7-e41. [PMID: 35969190 PMCID: PMC7615200 DOI: 10.1164/rccm.202206-1041st] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: The presence of emphysema is relatively common in patients with fibrotic interstitial lung disease. This has been designated combined pulmonary fibrosis and emphysema (CPFE). The lack of consensus over definitions and diagnostic criteria has limited CPFE research. Goals: The objectives of this task force were to review the terminology, definition, characteristics, pathophysiology, and research priorities of CPFE and to explore whether CPFE is a syndrome. Methods: This research statement was developed by a committee including 19 pulmonologists, 5 radiologists, 3 pathologists, 2 methodologists, and 2 patient representatives. The final document was supported by a focused systematic review that identified and summarized all recent publications related to CPFE. Results: This task force identified that patients with CPFE are predominantly male, with a history of smoking, severe dyspnea, relatively preserved airflow rates and lung volumes on spirometry, severely impaired DlCO, exertional hypoxemia, frequent pulmonary hypertension, and a dismal prognosis. The committee proposes to identify CPFE as a syndrome, given the clustering of pulmonary fibrosis and emphysema, shared pathogenetic pathways, unique considerations related to disease progression, increased risk of complications (pulmonary hypertension, lung cancer, and/or mortality), and implications for clinical trial design. There are varying features of interstitial lung disease and emphysema in CPFE. The committee offers a research definition and classification criteria and proposes that studies on CPFE include a comprehensive description of radiologic and, when available, pathological patterns, including some recently described patterns such as smoking-related interstitial fibrosis. Conclusions: This statement delineates the syndrome of CPFE and highlights research priorities.
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Affiliation(s)
- Vincent Cottin
- National Reference Center for Rare Pulmonary Diseases, Louis Pradel Hospital, Hospices Civils de Lyon, University of Lyon, INRAE, Lyon, France
| | - Moises Selman
- Instituto Nacional de Enfermedades Respiratorias “Ismael Cosío Villegas”, Mexico City, Mexico
| | | | | | - Tamera J. Corte
- Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia
| | | | | | - Joseph Jacob
- University College London, London, United Kingdom
| | - Kerri A. Johannson
- Department of Medicine and Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | | | - Joyce S. Lee
- University of Colorado Denver Anschutz Medical Campus, School of Medicine, Aurora, CO, USA
| | - Alvar Agusti
- Respiratory Institute, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERES, Barcelona, Spain
| | - Katerina M. Antoniou
- Laboratory of Molecular and Cellular Pneumonology, Department of Respiratory Medicine, University of Crete, Heraklion, Greece
| | | | - Fabian Caro
- Hospital de Rehabilitación Respiratoria "María Ferrer", Buenos Aires, Argentina
| | | | - Liam Galvin
- European idiopathic pulmonary fibrosis and related disorders federation
| | - Tae Iwasawa
- Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | | | | | | | - Andrew G. Nicholson
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust and National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | | | | | - Don D. Sin
- University of British Columbia, Vancouver, Canada
| | - Nicola Sverzellati
- Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Italy
| | - Thomy Tonia
- Institute of Social and Preventive Medicine, University of Bern, Switzerland
| | - Claudia Valenzuela
- Pulmonology Department, Hospital Universitario de la Princesa, Departamento Medicina, Universidad Autónoma de Madrid, 28049 Madrid, Spain
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12
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Stewart NJ, Smith LJ, Chan HF, Eaden JA, Rajaram S, Swift AJ, Weatherley ND, Biancardi A, Collier GJ, Hughes D, Klafkowski G, Johns CS, West N, Ugonna K, Bianchi SM, Lawson R, Sabroe I, Marshall H, Wild JM. Lung MRI with hyperpolarised gases: current & future clinical perspectives. Br J Radiol 2022; 95:20210207. [PMID: 34106792 PMCID: PMC9153706 DOI: 10.1259/bjr.20210207] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The use of pulmonary MRI in a clinical setting has historically been limited. Whilst CT remains the gold-standard for structural lung imaging in many clinical indications, technical developments in ultrashort and zero echo time MRI techniques are beginning to help realise non-ionising structural imaging in certain lung disorders. In this invited review, we discuss a complementary technique - hyperpolarised (HP) gas MRI with inhaled 3He and 129Xe - a method for functional and microstructural imaging of the lung that has great potential as a clinical tool for early detection and improved understanding of pathophysiology in many lung diseases. HP gas MRI now has the potential to make an impact on clinical management by enabling safe, sensitive monitoring of disease progression and response to therapy. With reference to the significant evidence base gathered over the last two decades, we review HP gas MRI studies in patients with a range of pulmonary disorders, including COPD/emphysema, asthma, cystic fibrosis, and interstitial lung disease. We provide several examples of our experience in Sheffield of using these techniques in a diagnostic clinical setting in challenging adult and paediatric lung diseases.
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Affiliation(s)
- Neil J Stewart
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Laurie J Smith
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Ho-Fung Chan
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - James A Eaden
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Smitha Rajaram
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Nicholas D Weatherley
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Alberto Biancardi
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Guilhem J Collier
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - David Hughes
- Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | | | - Christopher S Johns
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Noreen West
- Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Kelechi Ugonna
- Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Stephen M Bianchi
- Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Rod Lawson
- Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Ian Sabroe
- Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Helen Marshall
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
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13
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Kooner HK, McIntosh MJ, Desaigoudar V, Rayment JH, Eddy RL, Driehuys B, Parraga G. Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life. Respirology 2022; 27:114-133. [PMID: 35008127 PMCID: PMC10025897 DOI: 10.1111/resp.14197] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/09/2021] [Accepted: 12/12/2021] [Indexed: 12/21/2022]
Abstract
Pulmonary functional MRI (PfMRI) using inhaled hyperpolarized, radiation-free gases (such as 3 He and 129 Xe) provides a way to directly visualize inhaled gas distribution and ventilation defects (or ventilation heterogeneity) in real time with high spatial (~mm3 ) resolution. Both gases enable quantitative measurement of terminal airway morphology, while 129 Xe uniquely enables imaging the transfer of inhaled gas across the alveolar-capillary tissue barrier to the red blood cells. In patients with asthma, PfMRI abnormalities have been shown to reflect airway smooth muscle dysfunction, airway inflammation and remodelling, luminal occlusions and airway pruning. The method is rapid (8-15 s), cost-effective (~$300/scan) and very well tolerated in patients, even in those who are very young or very ill, because unlike computed tomography (CT), positron emission tomography and single-photon emission CT, there is no ionizing radiation and the examination takes only a few seconds. However, PfMRI is not without limitations, which include the requirement of complex image analysis, specialized equipment and additional training and quality control. We provide an overview of the three main applications of hyperpolarized noble gas MRI in asthma research including: (1) inhaled gas distribution or ventilation imaging, (2) alveolar microstructure and finally (3) gas transfer into the alveolar-capillary tissue space and from the tissue barrier into red blood cells in the pulmonary microvasculature. We highlight the evidence that supports a deeper understanding of the mechanisms of asthma worsening over time and the pathologies responsible for symptoms and disease control. We conclude with a summary of approaches that have the potential for integration into clinical workflows and that may be used to guide personalized treatment planning.
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Affiliation(s)
- Harkiran K Kooner
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Marrissa J McIntosh
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Vedanth Desaigoudar
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Jonathan H Rayment
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel L Eddy
- Centre of Heart Lung Innovation, Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Bastiaan Driehuys
- Center for In Vivo Microscopy, Duke University Medical Centre, Durham, North Carolina, USA
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
- Division of Respirology, Department of Medicine, Western University, London, Ontario, Canada
- School of Biomedical Engineering, Western University, London, Ontario, Canada
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14
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Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning. Eur Radiol 2022; 32:702-713. [PMID: 34255160 PMCID: PMC8276538 DOI: 10.1007/s00330-021-08126-y] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 04/14/2021] [Accepted: 06/08/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Multiple b-value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitative assessment of lung morphometry, but its long acquisition time is not well-tolerated by patients. We aimed to accelerate multiple b-value gas DW-MRI for lung morphometry using deep learning. METHODS A deep cascade of residual dense network (DC-RDN) was developed to reconstruct high-quality DW images from highly undersampled k-space data. Hyperpolarized 129Xe lung ventilation images were acquired from 101 participants and were retrospectively collected to generate synthetic DW-MRI data to train the DC-RDN. Afterwards, the performance of the DC-RDN was evaluated on retrospectively and prospectively undersampled multiple b-value 129Xe MRI datasets. RESULTS Each slice with size of 64 × 64 × 5 could be reconstructed within 7.2 ms. For the retrospective test data, the DC-RDN showed significant improvement on all quantitative metrics compared with the conventional reconstruction methods (p < 0.05). The apparent diffusion coefficient (ADC) and morphometry parameters were not significantly different between the fully sampled and DC-RDN reconstructed images (p > 0.05). For the prospectively accelerated acquisition, the required breath-holding time was reduced from 17.8 to 4.7 s with an acceleration factor of 4. Meanwhile, the prospectively reconstructed results showed good agreement with the fully sampled images, with a mean difference of -0.72% and -0.74% regarding global mean ADC and mean linear intercept (Lm) values. CONCLUSIONS DC-RDN is effective in accelerating multiple b-value gas DW-MRI while maintaining accurate estimation of lung microstructural morphometry, facilitating the clinical potential of studying lung diseases with hyperpolarized DW-MRI. KEY POINTS • The deep cascade of residual dense network allowed fast and high-quality reconstruction of multiple b-value gas diffusion-weighted MRI at an acceleration factor of 4. • The apparent diffusion coefficient and morphometry parameters were not significantly different between the fully sampled images and the reconstructed results (p > 0.05). • The required breath-holding time was reduced from 17.8 to 4.7 s and each slice with size of 64 × 64 × 5 could be reconstructed within 7.2 ms.
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15
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Wild JM, Porter JC, Molyneaux PL, George PM, Stewart I, Allen RJ, Aul R, Baillie JK, Barratt SL, Beirne P, Bianchi SM, Blaikley JF, Brooke J, Chaudhuri N, Collier G, Denneny EK, Docherty A, Fabbri L, Gibbons MA, Gleeson FV, Gooptu B, Hall IP, Hanley NA, Heightman M, Hillman TE, Johnson SR, Jones MG, Khan F, Lawson R, Mehta P, Mitchell JA, Platé M, Poinasamy K, Quint JK, Rivera-Ortega P, Semple M, Simpson AJ, Smith DJF, Spears M, Spencer LIG, Stanel SC, Thickett DR, Thompson AAR, Walsh SLF, Weatherley ND, Weeks ME, Wootton DG, Brightling CE, Chambers RC, Ho LP, Jacob J, Piper Hanley K, Wain LV, Jenkins RG. Understanding the burden of interstitial lung disease post-COVID-19: the UK Interstitial Lung Disease-Long COVID Study (UKILD-Long COVID). BMJ Open Respir Res 2021; 8:e001049. [PMID: 34556492 PMCID: PMC8461362 DOI: 10.1136/bmjresp-2021-001049] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 08/19/2021] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION The COVID-19 pandemic has led to over 100 million cases worldwide. The UK has had over 4 million cases, 400 000 hospital admissions and 100 000 deaths. Many patients with COVID-19 suffer long-term symptoms, predominantly breathlessness and fatigue whether hospitalised or not. Early data suggest potentially severe long-term consequence of COVID-19 is development of long COVID-19-related interstitial lung disease (LC-ILD). METHODS AND ANALYSIS The UK Interstitial Lung Disease Consortium (UKILD) will undertake longitudinal observational studies of patients with suspected ILD following COVID-19. The primary objective is to determine ILD prevalence at 12 months following infection and whether clinically severe infection correlates with severity of ILD. Secondary objectives will determine the clinical, genetic, epigenetic and biochemical factors that determine the trajectory of recovery or progression of ILD. Data will be obtained through linkage to the Post-Hospitalisation COVID platform study and community studies. Additional substudies will conduct deep phenotyping. The Xenon MRI investigation of Alveolar dysfunction Substudy will conduct longitudinal xenon alveolar gas transfer and proton perfusion MRI. The POST COVID-19 interstitial lung DiseasE substudy will conduct clinically indicated bronchoalveolar lavage with matched whole blood sampling. Assessments include exploratory single cell RNA and lung microbiomics analysis, gene expression and epigenetic assessment. ETHICS AND DISSEMINATION All contributing studies have been granted appropriate ethical approvals. Results from this study will be disseminated through peer-reviewed journals. CONCLUSION This study will ensure the extent and consequences of LC-ILD are established and enable strategies to mitigate progression of LC-ILD.
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Affiliation(s)
- Jim M Wild
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Joanna C Porter
- Centre for Inflammation and Tissue Repair, UCL Respiratory, University College London, London, UK,Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK,Department of Respiratory Medicine, University College London, London, UK
| | - Philip L Molyneaux
- National Heart and Lung Institute, Imperial College London, London, UK,Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Peter M George
- National Heart and Lung Institute, Imperial College London, London, UK,Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Iain Stewart
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Raminder Aul
- Respiratory Medicine, St George's Hospital NHS Foundation Trust, London, UK
| | | | - Shaney L Barratt
- Bristol Interstitial Lung Diseases Service, North Bristol NHS Trust, Bristol, UK
| | - Paul Beirne
- Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Stephen M Bianchi
- Academic Department of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - John F Blaikley
- Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK,Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Jonathan Brooke
- Department of Respiratory Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK,School of Medicine, University of Nottingham, Nottingham, UK
| | - Nazia Chaudhuri
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK,Respiratory Department, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
| | - Guilhem Collier
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Emma K Denneny
- Centre for Inflammation and Tissue Repair, UCL Respiratory, University College London, London, UK,Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK,Department of Respiratory Medicine, University College London, London, UK
| | - Annemarie Docherty
- Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Laura Fabbri
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Michael A Gibbons
- Respiratory Medicine, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK,College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Bibek Gooptu
- Department of Molecular and Cell Biology, University of Leicester, Leicester, UK,Institute for Lung Health, Leicester NIHR Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Ian P Hall
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK,School of Medicine, University of Nottingham, Nottingham, UK
| | - Neil A Hanley
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK,Wythenshaw Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Melissa Heightman
- Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Toby E Hillman
- Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Simon R Johnson
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK,School of Medicine, University of Nottingham, Nottingham, UK
| | - Mark G Jones
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK,Southampton NIHR Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Fasihul Khan
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK,School of Medicine, University of Nottingham, Nottingham, UK
| | - Rod Lawson
- Academic Department of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Puja Mehta
- Centre for Inflammation and Tissue Repair, UCL Respiratory, University College London, London, UK,School of Life & Medical Sciences, UCL, London, UK
| | - Jane A Mitchell
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Manuela Platé
- Centre for Inflammation and Tissue Repair, UCL Respiratory, University College London, London, UK,UCL Respiratory, UCL, London, UK
| | | | - Jennifer K Quint
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Pilar Rivera-Ortega
- Respiratory Department, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
| | | | - A John Simpson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK,Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - DJF Smith
- National Heart and Lung Institute, Imperial College London, London, UK,Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - Mark Spears
- Respiratory Medicine, Perth Royal Infirmary, NHS Tayside, Perth, UK,School of Medicine, University of Dundee, Dundee, UK
| | - LIsa G Spencer
- Respiratory Medicine, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Stefan C Stanel
- Respiratory Department, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK,Division of Diabetes, Endocrinology & Gastroenterology, The University of Manchester, Manchester, UK
| | - David R Thickett
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, UK,Acute and Respiratory Medicine, University Hospitals Birmingham Foundation Trust, Birmingham, uk
| | - A A Roger Thompson
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Simon LF Walsh
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Nicholas D Weatherley
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | | | - Dan G Wootton
- Respiratory Medicine, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK,Institute of Infection Veterinary and Ecological Science, University of Liverpool, Liverpool, UK
| | - Chris E Brightling
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Rachel C Chambers
- Centre for Inflammation and Tissue Repair, UCL Respiratory, University College London, London, UK
| | - Ling-Pei Ho
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine Oncology, Oxford, UK,Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford, UK
| | - Joseph Jacob
- Department of Respiratory Medicine, University College London, London, UK,Centre for Medical Imaging and Computing, University College London, London, UK
| | - Karen Piper Hanley
- Division of Diabetes, Endocrinology & Gastroenterology, The University of Manchester, Manchester, UK
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, UK,Institute for Lung Health, Leicester NIHR Biomedical Research Centre, University of Leicester, Leicester, UK
| | - R Gisli Jenkins
- National Heart and Lung Institute, Imperial College London, London, UK,Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
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16
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Brooke JP, Hall IP. Novel Thoracic MRI Approaches for the Assessment of Pulmonary Physiology and Inflammation. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1304:123-145. [PMID: 34019267 DOI: 10.1007/978-3-030-68748-9_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Excessive pulmonary inflammation can lead to damage of lung tissue, airway remodelling and established structural lung disease. Novel therapeutics that specifically target inflammatory pathways are becoming increasingly common in clinical practice, but there is yet to be a similar stepwise change in pulmonary diagnostic tools. A variety of thoracic magnetic resonance imaging (MRI) tools are currently in development, which may soon fulfil this emerging clinical need for highly sensitive assessments of lung structure and function. Given conventional MRI techniques are poorly suited to lung imaging, alternate strategies have been developed, including the use of inhaled contrast agents, intravenous contrast and specialized lung MR sequences. In this chapter, we discuss technical challenges of performing MRI of the lungs and how they may be overcome. Key thoracic MRI modalities are reviewed, namely, hyperpolarized noble gas MRI, oxygen-enhanced MRI (OE-MRI), ultrashort echo time (UTE) MRI and dynamic contrast-enhanced (DCE) MRI. Finally, we consider potential clinical applications of these techniques including phenotyping of lung disease, evaluation of novel pulmonary therapeutic efficacy and longitudinal assessment of specific patient groups.
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Affiliation(s)
- Jonathan P Brooke
- Department of Respiratory Medicine, University of Nottingham, Queens Medical Centre, Nottingham, UK.
| | - Ian P Hall
- Department of Respiratory Medicine, University of Nottingham, Queens Medical Centre, Nottingham, UK.
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17
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Airspace Dimension Assessment (AiDA) by inhaled nanoparticles: benchmarking with hyperpolarised 129Xe diffusion-weighted lung MRI. Sci Rep 2021; 11:4721. [PMID: 33633165 PMCID: PMC7907057 DOI: 10.1038/s41598-021-83975-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/10/2021] [Indexed: 11/26/2022] Open
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 (rAiDA) and mean 129Xe apparent diffusion coefficient (ADC) (p < 0.005), distributed diffusivity coefficient (DDC) (p < 0.001) and distal airspace dimension (LmD) (p < 0.001). A mean bias of − 1.2 µm towards rAiDA was observed between 129Xe LmD and rAiDA, indicating that rAiDA is a measure of distal airspace dimension. The AiDA R0 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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18
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Chan HF, Collier GJ, Parra-Robles J, Wild JM. Finite element simulations of hyperpolarized gas DWI in micro-CT meshes of acinar airways: validating the cylinder and stretched exponential models of lung microstructural length scales. Magn Reson Med 2021; 86:514-525. [PMID: 33624325 DOI: 10.1002/mrm.28703] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/07/2020] [Accepted: 01/07/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE This work assesses the accuracy of the stretched exponential (SEM) and cylinder models of lung microstructural length scales that can be derived from hyperpolarized gas DWI. This was achieved by simulating 3 He and 129 Xe DWI signals within two micro-CT-derived realistic acinar airspace meshes that represent healthy and idiopathic pulmonary fibrosis lungs. METHODS The healthy and idiopathic pulmonary fibrosis acinar airway meshes were derived from segmentations of 3D micro-CT images of excised human lungs and meshed for finite element simulations of the Bloch-Torrey equations. 3 He and 129 Xe multiple b value DWI experiments across a range of diffusion times (3 He Δ = 1.6 ms; 129 Xe Δ = 5 to 20 ms) were simulated in each mesh. Global SEM mean diffusive length scale and cylinder model mean chord length value was derived from each finite element simulation and compared against each mesh's mean linear intercept length, calculated from intercept length measurements within micro-CT segmentation masks. RESULTS The SEM-derived mean diffusive length scale was within ±10% of the mean linear intercept length for simulations with both 3 He (Δ = 1.6 ms) and 129 Xe (Δ = 7 to 13 ms) in the healthy mesh, and with 129 Xe (Δ = 13 to 20 ms) for the idiopathic pulmonary fibrosis mesh, whereas for the cylinder model-derived mean chord length the closest agreement with mean linear intercept length (11.7% and 22.6% difference) was at 129 Xe Δ = 20 ms for both healthy and IPF meshes, respectively. CONCLUSION This work validates the use of the SEM for accurate estimation of acinar dimensions and indicates that the SEM is relatively robust across a range of experimental conditions and acinar length scales.
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Affiliation(s)
- Ho-Fung Chan
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Guilhem J Collier
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Juan Parra-Robles
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.,Faculty of Pharmacy, Universidad Complutense de Madrid, Madrid, Spain
| | - Jim M Wild
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.,Insigneo, Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom
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19
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Derseh HB, Dewage SNV, Perera UE, Koumoundouros E, Pagel CN, Organ L, Snibson KJ. Small airway remodeling in a sheep model of bleomycin-induced pulmonary fibrosis. Exp Lung Res 2020; 46:409-419. [PMID: 34346276 DOI: 10.1080/01902148.2020.1834015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Although IPF is described traditionally as a disease affecting lung parenchyma, there is renewed interest in the alterations in the structure and function of the small airways in both IPF patients, and animal models of pulmonary fibrosis. Small airway remodeling may contribute to the pathophysiology of pulmonary fibrosis. Given the dearth of knowledge of small airway changes in pulmonary fibrosis, this study aims to assess the structural remodeling, as well as functional changes associated with bleomycin-injured small airways in a sheep model of pulmonary fibrosis. MATERIALS AND METHODS Two separate lung segments in ten sheep received two challenges of either 3 IU bleomycin, or saline (control), two weeks apart. The animals were euthanized seven weeks after the final bleomycin injury. Airflow resistance in the infused segments was measured with a wedged-bronchoscope procedure. This parameter was measured at baseline before bleomycin/saline-infusion, and at 2-, 4-, and 7-weeks after the final bleomycin-infusion. Inflammation and fibrosis in the airways were assessed by semi-quantitative morphological parameters. The density of blood vessels in the small airway walls was assessed in lung tissue sections immuno-stained with antibodies against collagen type IV. RESULTS There were a number of changes in the distal airways of bleomycin-infused lung segments. Bleomycin exposure significantly elevated airway resistance in these lung segments when compared to saline-infused control lung segments. In the peribronchial and peribronchiolar regions of the small airways, there were significantly increased levels of inflammation, fibrosis, airway wall area, and collagen deposition in bleomycin-infused airways when compared to saline-infused airways. Bronchial blood vessel density was not significantly different between bleomycin-and saline-infused lung segments. CONCLUSIONS In summary, our results indicate that the distal airways are involved in the pathology induced by bleomycin in this sheep model. This suggests that the sheep model may be useful for studying small airway remodeling in pulmonary fibrosis.
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Affiliation(s)
- Habtamu B Derseh
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Australia
| | - Sasika N Vithana Dewage
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Australia
| | - Udari E Perera
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Australia
| | | | - Charles N Pagel
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Australia
| | - Louise Organ
- Division of Respiratory Medicine, University of Nottingham, Nottingham, UK
| | - Ken J Snibson
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Australia
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20
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Maunder A, Chan HF, Hughes PJC, Collier G, Norquay G, Rodgers O, Thelwall P, Robb F, Rao M, Wild JM. MR properties of 19 F C 3 F 8 gas in the lungs of healthy volunteers: T 2 ∗ and apparent diffusion coefficient at 1.5T and T 2 ∗ at 3T. Magn Reson Med 2020; 85:1561-1570. [PMID: 32926448 DOI: 10.1002/mrm.28511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 08/08/2020] [Accepted: 08/17/2020] [Indexed: 01/07/2023]
Abstract
PURPOSE To measure the transverse relaxation time ( T 2 ∗ ) and apparent diffusion coefficient (ADC) of 19 F-C3 F8 gas in vivo in human lungs at 1.5T and 3T, and to determine the representative distribution of values of these parameters in a cohort of healthy volunteers. METHODS Mapping of ADC at lung inflation levels of functional residual capacity (FRC) and total lung capacity (TLC) was performed with inhaled 19 F-C3 F8 (eight subjects) and 129 Xe (six subjects) at 1.5T. T 2 ∗ mapping with 19 F-C3 F8 was performed at 1.5T (at FRC and TLC) for 8 subjects and at 3T (at TLC for seven subjects). RESULTS At both FRC and TLC, the 19 F-C3 F8 ADC was smaller than the free diffusion coefficient demonstrating airway microstructural diffusion restriction. From FRC to TLC, the mean ADC significantly increased from 1.56 mm2 /s to 1.83 mm2 /s (P = .0017) for 19 F-C3 F8, and from 2.49 mm2 /s to 3.38 mm2 /s (P = .0015) for 129 Xe. The posterior-to-anterior gradient in ADC for FRC versus TLC in the superior half of the lungs was measured as 0.0308 mm2 /s per cm versus 0.0168 mm2 /s per cm for 19 F-C3 F8 and 0.0871 mm2 /s per cm versus 0.0326 mm2 /s per cm for 129 Xe. A consistent distribution of 19 F-C3 F8 T 2 ∗ values was observed in the lungs, with low values observed near the diaphragm and large pulmonary vessels. The mean T 2 ∗ across volunteers was 4.48 ms at FRC and 5.33 ms at TLC for 1.5T, and 3.78 ms at TLC for 3T. CONCLUSION In this feasibility study, values of physiologically relevant parameters of lung microstructure measurable by MRI ( T 2 ∗ , and ADC) were established for C3 F8 in vivo lung imaging in healthy volunteers.
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Affiliation(s)
- Adam Maunder
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Ho-Fung Chan
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Paul J C Hughes
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Guillhem Collier
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Graham Norquay
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Oliver Rodgers
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Peter Thelwall
- Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Fraser Robb
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom.,GE Healthcare, Aurora, Ohio, USA
| | - Madhwesha Rao
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Jim M Wild
- POLARIS, Imaging Group, Department of IICD, University of Sheffield, Sheffield, United Kingdom
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21
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d'Hooghe J, Alvarez Martinez H, Pietersen PI, Laursen CB, Hersch N, Tárnoki ÁD, Walsh S, Annema J, Gompelmann D. ERS International Congress, Madrid, 2019: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly. ERJ Open Res 2020; 6:00116-2020. [PMID: 32714969 PMCID: PMC7369474 DOI: 10.1183/23120541.00116-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 05/30/2020] [Indexed: 12/29/2022] Open
Abstract
This manuscript summarises the highlights from Assembly 14, "Clinical techniques, imaging and endoscopy", which were presented at the 2019 European Respiratory Society (ERS) International Congress in Madrid, Spain. Novel diagnostic approaches and innovative therapeutic strategies in patients with lung cancer, interstitial lung disease, obstructive airway disorders and infectious diseases are discussed. The authors from the different Assembly 14 subgroups focus on the key take-home messages given new study results, and place them in the context of current knowledge in these areas. At the 2019 ERS International Congress, encouraging results of numerous trials in the field of interventional pulmonology, imaging and ultrasound were presented. Key topics included novel diagnostic and therapeutic approaches in patients with lung cancer, interstitial lung disease, obstructive airway disorders and infectious diseases.
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Affiliation(s)
- Julia d'Hooghe
- Dept of Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Haizea Alvarez Martinez
- Dept of Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Pia Iben Pietersen
- Dept of Respiratory Medicine, Odense University Hospital, Odense, Denmark
- Regional Center for Technical Simulation, Region of Southern Denmark, Odense, Denmark
| | - Christian B. Laursen
- Dept of Respiratory Medicine, Odense University Hospital, Odense, Denmark
- Dept of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Nicole Hersch
- Dept of Respiratory Medicine, St George Hospital, Sydney, Australia
| | - Ádám Domonkos Tárnoki
- Medical Imaging Centre, Semmelweis University, Budapest, Hungary
- Dept of Radiology, Oncologic Imaging Diagnostic Center, National Institute of Oncology, Budapest, Hungary
| | - Simon Walsh
- National Heart and Lung Institute, Imperial College, London, UK
| | - Jouke Annema
- Dept of Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Daniela Gompelmann
- Dept of Pneumology and Critical Care Medicine, Thoraxklink University Heidelberg, Heidelberg, Germany
- Dept of Internal Medicine II, Division of Pulmonology, Medical University of Vienna, Vienna, Austria
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22
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Altes TA, Flors L. Detection of Longitudinal Microstructural Changes in Idiopathic Pulmonary Fibrosis with Hyperpolarized 3He Diffusion-weighted MRI. Radiology 2019; 291:230-231. [PMID: 30802182 DOI: 10.1148/radiol.2019190180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Talissa A Altes
- From the Department of Radiology, University of Missouri Health System, One Hospital Dr, Columbia, MO 65212
| | - Lucia Flors
- From the Department of Radiology, University of Missouri Health System, One Hospital Dr, Columbia, MO 65212
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