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Ariyasingha NM, Oladun C, Samoilenko A, Chowdhury MRH, Nantogma S, Shi Z, Luo K, Tan S, Salnikov OG, Xhupi A, Suleiman M, Chekmenev YA, Kovtunova LM, Koptyug IV, Gelovani JG, Goodson BM, Chekmenev EY. Parahydrogen-Hyperpolarized Propane- d6 Gas Contrast Agent: T1 Relaxation Dynamics and Pilot Millimeter-Scale Ventilation MRI. J Phys Chem A 2025. [PMID: 40311080 DOI: 10.1021/acs.jpca.4c08800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2025]
Abstract
Hyperpolarized (HP) MRI provides enhanced signals over conventional MRI due to the increase in nuclear spin polarization by orders of magnitude compared to thermal polarization. Therefore, HP MRI can be successfully utilized toward imaging of low-density gases in void spaces, such as human lungs. Specifically, in clinical pulmonary imaging, HP MRI employs a gaseous contrast agent that fills the lungs during inhalation under physiologically relevant conditions prior to imaging. FDA-approved HP 129Xe gas can now be used as the first HP inhalable gaseous contrast agent for functional lung imaging in adults and pediatric patients above 12 years for diagnosis and monitoring responses to the treatment of many pulmonary diseases. However, despite the substantial success of HP 129Xe in research settings, the production and MRI of this novel contrast agent remain expensive and not universally available on clinical MRI scanners. An alternative approach is to deploy a proton-hyperpolarized gas that is cheap and fast to produce and can be detected on any clinical MRI scanner without any modification. Hyperpolarized propane gas has recently emerged as a potential next-generation hyperpolarized inhalable contrast agent. Here, the relaxation dynamics of two deuterated hyperpolarized propane isotopologues have been explored at clinically relevant conditions of 1 atm gas pressure and 0.35 and 1.4 T magnetic fields using pairwise addition of parahydrogen to a corresponding unsaturated precursor over the heterogeneous Rh/TiO2 catalyst. The T1 relaxation time of HP propane-d6 gas (0.91±0.03 s) at 1.4 T was found to be similar to that of HP propane gas (0.81±0.06 s) because the dominating relaxation mechanism is due to the coupling of the nuclear spins to the molecular rotation of these two propane gas isotopologues. Moreover, the effective polarization decay constant increases for HP propane-d6 to 1.35±0.05 s (and for HP propane to 1.35±0.10 s) at 0.35 T, pointing to the likely "partial" presence of the long-lived spin states (LLSS) at this clinically relevant field, corresponding to the intermediate spin-spin coupling regime of the two parahydrogen-derived hyperpolarized sites. Furthermore, the pilot feasibility of rapid lung ventilation imaging with 1 × 1 × 9 mm2 voxel-size spatial resolution using a clinical 0.35 T open MRI scanner was demonstrated by inflating HP propane-d6 gas in excised rabbit lungs, despite the reduction of the HP gas relaxation constant to 0.78 ± 0.02 s in the lungs.
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Affiliation(s)
- Nuwandi M Ariyasingha
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Clementinah Oladun
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Anna Samoilenko
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Md Raduanul H Chowdhury
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Shiraz Nantogma
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Zhongjie Shi
- Department of Pediatrics, Wayne State University, Detroit, Michigan 48202, United States
| | - Kehuan Luo
- Department of Pediatrics, Wayne State University, Detroit, Michigan 48202, United States
| | - Sidhartha Tan
- Department of Pediatrics, Wayne State University, Detroit, Michigan 48202, United States
| | - Oleg G Salnikov
- International Tomography Center SB RAS, 3A Institutskaya St., Novosibirsk 630090, Russia
| | - Alba Xhupi
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Majd Suleiman
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | | | - Larisa M Kovtunova
- International Tomography Center SB RAS, 3A Institutskaya St., Novosibirsk 630090, Russia
- Boreskov Institute of Catalysis SB RAS, 5 Acad, Lavrentiev Pr., Novosibirsk 630090, Russia
| | - Igor V Koptyug
- International Tomography Center SB RAS, 3A Institutskaya St., Novosibirsk 630090, Russia
| | - Juri G Gelovani
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
| | - Boyd M Goodson
- School of Chemical and Biomolecular Sciences, Southern Illinois University, Carbondale, Illinois 62901, United States
| | - Eduard Y Chekmenev
- Department of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan 48202, United States
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Soderlund SA, Bdaiwi AS, Plummer JW, Woods JC, Walkup LL, Cleveland ZI. Improved Diffusion-Weighted Hyperpolarized 129Xe Lung MRI with Patch-Based Higher-Order, Singular Value Decomposition Denoising. Acad Radiol 2024; 31:5289-5299. [PMID: 38960843 PMCID: PMC11606792 DOI: 10.1016/j.acra.2024.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 05/31/2024] [Accepted: 06/18/2024] [Indexed: 07/05/2024]
Abstract
RATIONALE AND OBJECTIVES Hyperpolarized xenon (129Xe) MRI is a noninvasive method to assess pulmonary structure and function. To measure lung microstructure, diffusion-weighted imaging-commonly the apparent diffusion coefficient (ADC)-can be employed to map changes in alveolar-airspace size resulting from normal aging and pulmonary disease. However, low signal-to-noise ratio (SNR) decreases ADC measurement certainty, and biases ADC to spuriously low values. Further, these challenges are most severe in regions of the lung where alveolar simplification or emphysematous remodeling generate abnormally high ADCs. Here, we apply Global Local Higher Order Singular Value Decomposition (GLHOSVD) denoising to enhance image SNR, thereby reducing uncertainty and bias in diffusion measurements. MATERIALS AND METHODS GLHOSVD denoising was employed in simulated images and gas phantoms with known diffusion coefficients to validate its effectiveness and optimize parameters for analysis of diffusion-weighted 129Xe MRI. GLHOSVD was applied to data from 120 subjects (34 control, 39 cystic fibrosis (CF), 27 lymphangioleiomyomatosis (LAM), and 20 asthma). Image SNR, ADC, and distributed diffusivity coefficient (DDC) were compared before and after denoising using Wilcoxon signed-rank analysis for all images. RESULTS Denoising significantly increased SNR in simulated, phantom, and in-vivo images, showing a greater than 2-fold increase (p < 0.001) across diffusion-weighted images. Although mean ADC and DDC remained unchanged (p > 0.05), ADC and DDC standard deviation decreased significantly in denoised images (p < 0.001). CONCLUSION When applied to diffusion-weighted 129Xe images, GLHOSVD improved image quality and allowed airspace size to be quantified in high-diffusion regions of the lungs that were previously inaccessible to measurement due to prohibitively low SNR, thus providing insights into disease pathology.
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Affiliation(s)
- Stephanie A Soderlund
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45221, Cincinnati, Ohio 45229, USA
| | - Abdullah S Bdaiwi
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA
| | - Joseph W Plummer
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45221, Cincinnati, Ohio 45229, USA
| | - Jason C Woods
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45221, USA; Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA
| | - Laura L Walkup
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45221, Cincinnati, Ohio 45229, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45221, USA; Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA
| | - Zackary I Cleveland
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45221, Cincinnati, Ohio 45229, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45221, USA; Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA.
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Taylor Y, Wilson FJ, Kim M, Parker GJM. Sensitivity analysis of models of gas exchange for lung hyperpolarised 129Xe MR. NMR IN BIOMEDICINE 2024; 37:e5239. [PMID: 39183451 DOI: 10.1002/nbm.5239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 07/19/2024] [Accepted: 07/30/2024] [Indexed: 08/27/2024]
Abstract
Sensitivity analysis enables the identification of influential parameters and the optimisation of model composition. Such methods have not previously been applied systematically to models describing hyperpolarised 129Xe gas exchange in the lung. Here, we evaluate the current 129Xe gas exchange models to assess their precision for identifying alterations in pulmonary vascular function and lung microstructure. We assess sensitivity using established univariate methods and scatter plots for parameter interactions. We apply them to the model described by Patz et al and the Model of Xenon Exchange (MOXE), examining their ability to measure: i) importance (rank), ii) temporal dependence and iii) interaction effects of each parameter across healthy and diseased ranges. The univariate methods and scatter plot analyses demonstrate consistently similar results for the importance of parameters common to both models evaluated. Alveolar surface area to volume ratio is identified as the parameter to which model signals are most sensitive. The alveolar-capillary barrier thickness is identified as a low-sensitivity parameter for the MOXE model. An acquisition window of at least 200 ms effectively demonstrates model sensitivity to most parameters. Scatter plots reveal interaction effects in both models, impacting output variability and sensitivity. Our sensitivity analysis ranks the parameters within the model described by Patz et al and within the MOXE model. The MOXE model shows low sensitivity to alveolar-capillary barrier thickness, highlighting the need for designing acquisition protocols optimised for the measurement of this parameter. The presence of parameter interaction effects highlights the requirement for care in interpreting model outputs.
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Affiliation(s)
- Yohn Taylor
- Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | | | - Mina Kim
- Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Geoff J M Parker
- Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Bioxydyn Limited, Manchester, UK
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Wulfeck MK, Mummy DG, Zhang S, Kadi D, Goins S, Swaminathan A, Tighe RM, Driehuys B, Mammarappallil JG. Hyperpolarized 129Xe MRI and spectroscopy of gas exchange abnormalities in chronic hypersensitivity pneumonitis. Respir Med 2024; 234:107827. [PMID: 39374741 PMCID: PMC11588504 DOI: 10.1016/j.rmed.2024.107827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 09/26/2024] [Accepted: 09/30/2024] [Indexed: 10/09/2024]
Abstract
PURPOSE To evaluate 3D gas-exchange functional imaging characteristics using 129Xe MRI in a group of study participants with chronic hypersensitivity pneumonitis (CHP) as compared with healthy control participants. METHODS In this prospective study, 11 participants with clinical and CT findings of CHP (4M 7F, mean age 67 ± 6.1 years) as well as 41 healthy subjects (25M 16F, mean age 44 ± 18 years) were enrolled between 2017 and 2022 and underwent 129Xe MRI. Three-dimensional images of ventilation, interstitial membrane uptake, and RBC transfer were rendered into quantitative 3D maps relative to a healthy reference cohort. In addition, 129Xe spectroscopy was used to assess the RBC:membrane ratio (RBC:M), the oxygen-dependent RBC chemical shift, and cardiogenically-driven RBC oscillation amplitude. Differences between the CHP participants and healthy subjects were assessed using the two-sample t-test or Wilcoxon rank-sum test as appropriate. RESULTS CHP participants demonstrated significant differences in 6 parameters (p < 0.001) including regions of reduced ventilation, increased membrane uptake, and reduced RBC transfer as compared to healthy subjects. Gas exchange abnormalities measured on spectroscopy included a reduced RBC:M, reduced RBC chemical shift, and increased RBC oscillation amplitude. CONCLUSION In participants with CHP, 129Xe MRI demonstrated gas exchange abnormalities common to other fibrotic lung diseases including increased membrane uptake, deficits in RBC transfer, and reduced RBC:M. However, CHP participants also exhibited prominent ventilation abnormalities, which may be reflective of the airway-centric nature of the disease. Further, the high variability observed in the membrane uptake could suggest varying degrees of disease progression or activity.
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Affiliation(s)
- Madison Kocher Wulfeck
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | - David G Mummy
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | - Shuo Zhang
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | - Diana Kadi
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | - Stacy Goins
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | | | - Robert M Tighe
- Department of Medicine, Duke University Medical Center, USA.
| | - Bastiaan Driehuys
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
| | - Joseph G Mammarappallil
- Department of Radiology, Duke University Medical Center, 2301 Erwin Road Box 3808, Durham, NC, 27710, USA.
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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; 31:4203-4216. [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] [MESH Headings] [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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Rankine LJ, Lu J, Wang Z, Kelsey CR, Marks LB, Das SK, Driehuys B. Quantifying Regional Radiation-Induced Lung Injury in Patients Using Hyperpolarized 129Xe Gas Exchange Magnetic Resonance Imaging. Int J Radiat Oncol Biol Phys 2024; 120:216-228. [PMID: 38452858 DOI: 10.1016/j.ijrobp.2024.02.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 02/05/2024] [Accepted: 02/24/2024] [Indexed: 03/09/2024]
Abstract
PURPOSE Radiation-induced lung injury has been shown to alter regional ventilation and perfusion in the lung. However, changes in regional pulmonary gas exchange have not previously been measured. METHODS AND MATERIALS Ten patients receiving conventional radiation therapy (RT) for lung cancer underwent pre-RT and 3-month post-RT magnetic resonance imaging (MRI) using an established hyperpolarized 129Xe gas exchange technique to map lung function. Four patients underwent an additional 8-month post-RT MRI. The MR signal from inhaled xenon was measured in the following 3 pulmonary compartments: the lung airspaces, the alveolar membrane tissue, and the pulmonary capillaries (interacting with red blood cells [RBCs]). Thoracic 1H MRI scans were acquired, and deformable registration was used to transfer 129Xe functional maps to the RT planning computed tomography scan. The RT-associated changes in ventilation, membrane uptake, and RBC transfer were computed as a function of regional lung dose (equivalent dose in 2-Gy fractions). Pearson correlations and t tests were used to determine statistical significance, and weighted sum of squares linear regression subsequently characterized the dose dependence of each functional component. The pulmonary function testing metrics of forced vital capacity and diffusing capacity for carbon monoxide were also acquired at each time point. RESULTS Compared with pre-RT baseline, 3-month post-RT ventilation decreased by an average of -0.24 ± 0.05%/Gy (ρ = -0.88; P < .001), membrane uptake increased by 0.69 ± 0.14%/Gy (ρ = 0.94; P < .001), and RBC transfer decreased by -0.41 ± 0.06%/Gy (ρ = -0.92; P < .001). Membrane uptake maintained a strong positive correlation with regional dose at 8 months post-RT, demonstrating an increase of 0.73 ± 0.11%/Gy (ρ = 0.92; P = .006). Changes in membrane uptake and RBC transfer appeared greater in magnitude (%/Gy) for individuals with low heterogeneity in their baseline lung function. An increase in whole-lung membrane uptake showed moderate correlation with decreases in forced vital capacity (ρ = -0.50; P = .17) and diffusing capacity for carbon monoxide (ρ = -0.44; P = .23), with neither correlation reaching statistical significance. CONCLUSIONS Hyperpolarized 129Xe MRI measured and quantified regional, RT-associated, dose-dependent changes in pulmonary gas exchange. This tool could enable future work to improve our understanding and management of radiation-induced lung injury.
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Affiliation(s)
- Leith J Rankine
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina; Medical Physics Graduate Program.
| | | | - Ziyi Wang
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | | | - Lawrence B Marks
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina
| | - Shiva K Das
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina
| | - Bastiaan Driehuys
- Medical Physics Graduate Program; Department of Biomedical Engineering, Duke University, Durham, North Carolina; Radiology, Duke University Medical Center, Durham, North Carolina
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Tarchi SM, Salvatore M, Lichtenstein P, Sekar T, Capaccione K, Luk L, Shaish H, Makkar J, Desperito E, Leb J, Navot B, Goldstein J, Laifer S, Beylergil V, Ma H, Jambawalikar S, Aberle D, D'Souza B, Bentley-Hibbert S, Marin MP. Radiology of fibrosis. Part I: Thoracic organs. J Transl Med 2024; 22:609. [PMID: 38956586 PMCID: PMC11218337 DOI: 10.1186/s12967-024-05244-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/27/2024] [Indexed: 07/04/2024] Open
Abstract
Sustained injury from factors such as hypoxia, infection, or physical damage may provoke improper tissue repair and the anomalous deposition of connective tissue that causes fibrosis. This phenomenon may take place in any organ, ultimately leading to their dysfunction and eventual failure. Tissue fibrosis has also been found to be central in both the process of carcinogenesis and cancer progression. Thus, its prompt diagnosis and regular monitoring is necessary for implementing effective disease-modifying interventions aiming to reduce mortality and improve overall quality of life. While significant research has been conducted on these subjects, a comprehensive understanding of how their relationship manifests through modern imaging techniques remains to be established. This work intends to provide a comprehensive overview of imaging technologies relevant to the detection of fibrosis affecting thoracic organs as well as to explore potential future advancements in this field.
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Affiliation(s)
- Sofia Maria Tarchi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA.
| | - Mary Salvatore
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Philip Lichtenstein
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Thillai Sekar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Kathleen Capaccione
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Lyndon Luk
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Hiram Shaish
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jasnit Makkar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Elise Desperito
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jay Leb
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Benjamin Navot
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jonathan Goldstein
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Sherelle Laifer
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Volkan Beylergil
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Hong Ma
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Sachin Jambawalikar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Dwight Aberle
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Belinda D'Souza
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Stuart Bentley-Hibbert
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Monica Pernia Marin
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
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8
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Ariyasingha NM, Chowdhury MRH, Samoilenko A, Salnikov OG, Chukanov NV, Kovtunova LM, Bukhtiyarov VI, Shi Z, Luo K, Tan S, Koptyug IV, Goodson BM, Chekmenev EY. Toward Lung Ventilation Imaging Using Hyperpolarized Diethyl Ether Gas Contrast Agent. Chemistry 2024; 30:e202304071. [PMID: 38381807 PMCID: PMC11065616 DOI: 10.1002/chem.202304071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 02/23/2024]
Abstract
Hyperpolarized 129Xe gas was FDA-approved as an inhalable contrast agent for magnetic resonance imaging of a wide range of pulmonary diseases in December 2022. Despite the remarkable success in clinical research settings, the widespread clinical translation of HP 129Xe gas faces two critical challenges: the high cost of the relatively low-throughput hyperpolarization equipment and the lack of 129Xe imaging capability on clinical MRI scanners, which have narrow-bandwidth electronics designed only for proton (1H) imaging. To solve this translational grand challenge of gaseous hyperpolarized MRI contrast agents, here we demonstrate the utility of batch-mode production of proton-hyperpolarized diethyl ether gas via heterogeneous pairwise addition of parahydrogen to ethyl vinyl ether. An approximately 0.1-liter bolus of hyperpolarized diethyl ether gas was produced in 1 second and injected in excised rabbit lungs. Lung ventilation imaging was performed using sub-second 2D MRI with up to 2×2 mm2 in-plane resolution using a clinical 0.35 T MRI scanner without any modifications. This feasibility demonstration paves the way for the use of inhalable diethyl ether as a gaseous contrast agent for pulmonary MRI applications using any clinical MRI scanner.
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Affiliation(s)
- Nuwandi M Ariyasingha
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Md Raduanul H Chowdhury
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Anna Samoilenko
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Oleg G Salnikov
- International Tomography Center SB RAS, 3 A Institutskaya Street, Novosibirsk, 630090, Russia
| | - Nikita V Chukanov
- International Tomography Center SB RAS, 3 A Institutskaya Street, Novosibirsk, 630090, Russia
| | - Larisa M Kovtunova
- International Tomography Center SB RAS, 3 A Institutskaya Street, Novosibirsk, 630090, Russia
- Boreskov Institute of Catalysis SB RAS, 5 Acad. Lavrentiev Pr, Novosibirsk, 630090, Russia
| | - Valerii I Bukhtiyarov
- Boreskov Institute of Catalysis SB RAS, 5 Acad. Lavrentiev Pr, Novosibirsk, 630090, Russia
| | - Zhongjie Shi
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Kehuan Luo
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Sidhartha Tan
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
| | - Igor V Koptyug
- International Tomography Center SB RAS, 3 A Institutskaya Street, Novosibirsk, 630090, Russia
| | - Boyd M Goodson
- School of Chemical and Biomolecular Sciences, Southern Illinois University, Carbondale, IL-62901, USA
| | - Eduard Y Chekmenev
- Department of Chemistry, Karmanos Cancer Institute (KCI), Department of Pediatrics, Wayne State University, Detroit, MI-48202, USA
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9
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Hofmann JJ, Poulos VC, Zhou J, Sharma M, Parraga G, McIntosh MJ. Review of quantitative and functional lung imaging evidence of vaping-related lung injury. Front Med (Lausanne) 2024; 11:1285361. [PMID: 38327710 PMCID: PMC10847544 DOI: 10.3389/fmed.2024.1285361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
Introduction The pulmonary effects of e-cigarette use (or vaping) became a healthcare concern in 2019, following the rapid increase of e-cigarette-related or vaping-associated lung injury (EVALI) in young people, which resulted in the critical care admission of thousands of teenagers and young adults. Pulmonary functional imaging is well-positioned to provide information about the acute and chronic effects of vaping. We generated a systematic review to retrieve relevant imaging studies that describe the acute and chronic imaging findings that underly vaping-related lung structure-function abnormalities. Methods A systematic review was undertaken on June 13th, 2023 using PubMed to search for published manuscripts using the following criteria: [("Vaping" OR "e-cigarette" OR "EVALI") AND ("MRI" OR "CT" OR "Imaging")]. We included only studies involving human participants, vaping/e-cigarette use, and MRI, CT and/or PET. Results The search identified 445 manuscripts, of which 110 (668 unique participants) specifically mentioned MRI, PET or CT imaging in cases or retrospective case series of patients who vaped. This included 105 manuscripts specific to CT (626 participants), three manuscripts which mainly used MRI (23 participants), and two manuscripts which described PET findings (20 participants). Most studies were conducted in North America (n = 90), with the remaining studies conducted in Europe (n = 15), Asia (n = 4) and South America (n = 1). The vast majority of publications described case studies (n = 93) and a few described larger retrospective or prospective studies (n = 17). In e-cigarette users and patients with EVALI, key CT findings included ground-glass opacities, consolidations and subpleural sparing, MRI revealed abnormal ventilation, perfusion and ventilation/perfusion matching, while PET showed evidence of pulmonary inflammation. Discussion and conclusion Pulmonary structural and functional imaging abnormalities were common in patients with EVALI and in e-cigarette users with or without respiratory symptoms, which suggests that functional MRI may be helpful in the investigation of the pulmonary health effects associated with e-cigarette use.
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Affiliation(s)
| | | | - Jiahai Zhou
- Robarts Research Institute, London, ON, Canada
| | - Maksym Sharma
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
| | - Grace Parraga
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
- Department of Medical Imaging, Western University, London, ON, Canada
| | - Marrissa J. McIntosh
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
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10
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Garrison WJ, Mugler JP, Mata JF, Nunoo-Asare RN, Shim YM, Miller GW. Acquiring Hyperpolarized 129Xe Magnetic Resonance Images of Lung Ventilation. J Vis Exp 2023:10.3791/65982. [PMID: 38078603 PMCID: PMC11479144 DOI: 10.3791/65982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] Open
Abstract
Hyperpolarized 129Xe MRI comprises a unique array of structural and functional lung imaging techniques. Technique standardization across sites is increasingly important given the recent FDA approval of 129Xe as an MR contrast agent and as interest in 129Xe MRI increases among research and clinical institutions. Members of the 129Xe MRI Clinical Trials Consortium (Xe MRI CTC) have agreed upon best practices for each of the key aspects of the 129Xe MRI workflow, and these recommendations are summarized in a recent publication. This work provides practical information to develop an end-to-end workflow for collecting 129Xe MR images of lung ventilation according to the Xe MRI CTC recommendations. Preparation and administration of 129Xe for MR studies will be discussed and demonstrated, with specific topics including choice of appropriate gas volumes for entire studies and for individual MR scans, preparation and delivery of individual 129Xe doses, and best practices for monitoring subject safety and 129Xe tolerability during studies. Key MR technical considerations will also be covered, including pulse sequence types and optimized parameters, calibration of 129Xe flip angle and center frequency, and 129Xe MRI ventilation image analysis.
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Affiliation(s)
| | - John P Mugler
- Department of Biomedical Engineering, University of Virginia; Department of Radiology and Medical Imaging, University of Virginia
| | - Jaime F Mata
- Department of Radiology and Medical Imaging, University of Virginia
| | | | | | - G Wilson Miller
- Department of Biomedical Engineering, University of Virginia; Department of Radiology and Medical Imaging, University of Virginia; Department of Physics, University of Virginia;
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11
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Hahn AD, Carey KJ, Barton GP, Torres LA, Kammerman J, Cadman RV, Lee KE, Schiebler ML, Sandbo N, Fain SB. Functional xenon-129 magnetic resonance imaging response to antifibrotic treatment in idiopathic pulmonary fibrosis. ERJ Open Res 2023; 9:00080-2023. [PMID: 37377660 PMCID: PMC10291299 DOI: 10.1183/23120541.00080-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/06/2023] [Indexed: 06/29/2023] Open
Abstract
A measure of regional gas exchange on HP 129Xe MRI was able to detect apparent improvements in IPF patients treated with antifibrotic medication after 1 year, while no such improvements were found in patients treated with conventional therapies https://bit.ly/3ZXipzD.
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Affiliation(s)
- Andrew D. Hahn
- Department of Medical Physics, UW-Madison, Madison, WI, USA
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Katie J. Carey
- Department of Medical Physics, UW-Madison, Madison, WI, USA
| | - Gregory P. Barton
- Department of Medical Physics, UW-Madison, Madison, WI, USA
- Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Luis A. Torres
- Department of Medical Physics, UW-Madison, Madison, WI, USA
| | - Jeff Kammerman
- Department of Medical Physics, UW-Madison, Madison, WI, USA
| | - Robert V. Cadman
- Department of Medical Physics, UW-Madison, Madison, WI, USA
- Department of Medicine, UW-Madison, Madison, WI, USA
| | - Kristine E. Lee
- Department of Biostatistics and Medical Informatics, UW-Madison, Madison, WI, USA
| | | | - Nathan Sandbo
- Department of Medicine, UW-Madison, Madison, WI, USA
| | - Sean B. Fain
- Department of Medical Physics, UW-Madison, Madison, WI, USA
- Department of Radiology, University of Iowa, Iowa City, IA, USA
- Department of Medicine, UW-Madison, Madison, WI, USA
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12
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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: 2.0] [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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13
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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: 2.5] [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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14
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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: 1.0] [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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15
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Kimura A, Utsumi S, Shimokawa A, Nishimori R, Hosoi R, Stewart NJ, Imai H, Fujiwara H. Targeted Imaging of Lung Cancer with Hyperpolarized 129Xe MRI Using Surface-Modified Iron Oxide Nanoparticles as Molecular Contrast Agents. Cancers (Basel) 2022; 14:cancers14246070. [PMID: 36551556 PMCID: PMC9776850 DOI: 10.3390/cancers14246070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Hyperpolarized 129Xe (HP 129Xe) MRI enables functional imaging of various lung diseases but has been scarcely applied to lung cancer imaging. The aim of this study is to investigate the feasibility of targeted imaging of lung cancer with HP 129Xe MRI using surface-modified iron oxide nanoparticles (IONPs) as molecular targeting contrast agents. A mouse model of lung cancer (LC) was induced in nine mice by intra-peritoneal injection of urethane. Three months after the urethane administration, the mice underwent lung imaging with HP 129Xe MRI at baseline (0 h). Subsequently, the LC group was divided into two sub-groups: mice administered with polyethylene glycol-coated IONPs (PEG-IONPs, n = 4) and folate-conjugated dextran-coated IONPs (FA@Dex-IONPs, n = 5). The mice were imaged at 3, 6, and 24 h after the intravenous injection of IONPs. FA@Dex-IONPs mice showed a 25% reduction in average signal intensity at cancer sites at 3 h post injection, and a 24% reduction at 24 h post injection. On the other hand, in PEG-IONPs mice, while a signal reduction of approximately 28% was observed at cancer sites at 3 to 6 h post injection, the signal intensity was unchanged from that of the baseline at 24 h. Proton MRI of LC mice (n = 3) was able to detect cancer five months after urethane administration, i.e., later than HP 129Xe MRI (3 months). Furthermore, a significant decrease in averaged 1H T2 values at cancer sites was observed at only 6 h post injection of FA@Dex-IONPs (p < 0.05). As such, the targeted delivery of IONPs to cancer tissue was successfully imaged with HP 129Xe MRI, and their surface modification with folate likely has a high affinity with LC, which causes overexpression of folate receptors.
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Affiliation(s)
- Atsuomi Kimura
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
- Correspondence: ; Tel.: +81-6-6879-2578
| | - Seiya Utsumi
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Akihiro Shimokawa
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Renya Nishimori
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Rie Hosoi
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Neil J. Stewart
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield S10 2TA, UK
| | - Hirohiko Imai
- Division of Systems Informatics, Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto 606-8561, Japan
| | - Hideaki Fujiwara
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
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16
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Grist JT, Collier GJ, Walters H, Kim M, Chen M, Abu Eid G, Laws A, Matthews V, Jacob K, Cross S, Eves A, Durrant M, McIntyre A, Thompson R, Schulte RF, Raman B, Robbins PA, Wild JM, Fraser E, Gleeson F. Lung Abnormalities Detected with Hyperpolarized 129Xe MRI in Patients with Long COVID. Radiology 2022; 305:709-717. [PMID: 35608443 PMCID: PMC9134268 DOI: 10.1148/radiol.220069] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/25/2022] [Accepted: 05/13/2022] [Indexed: 11/11/2022]
Abstract
Background Post-COVID-19 condition encompasses symptoms following COVID-19 infection that linger at least 4 weeks after the end of active infection. Symptoms are wide ranging, but breathlessness is common. Purpose To determine if the previously described lung abnormalities seen on hyperpolarized (HP) pulmonary xenon 129 (129Xe) MRI scans in participants with post-COVID-19 condition who were hospitalized are also present in participants with post-COVID-19 condition who were not hospitalized. Materials and Methods In this prospective study, nonhospitalized participants with post-COVID-19 condition (NHLC) and posthospitalized participants with post-COVID-19 condition (PHC) were enrolled from June 2020 to August 2021. Participants underwent chest CT, HP 129Xe MRI, pulmonary function testing, and the 1-minute sit-to-stand test and completed breathlessness questionnaires. Control subjects underwent HP 129Xe MRI only. CT scans were analyzed for post-COVID-19 interstitial lung disease severity using a previously published scoring system and full-scale airway network (FAN) modeling. Analysis used group and pairwise comparisons between participants and control subjects and correlations between participant clinical and imaging data. Results A total of 11 NHLC participants (four men, seven women; mean age, 44 years ± 11 [SD]; 95% CI: 37, 50) and 12 PHC participants (10 men, two women; mean age, 58 years ±10; 95% CI: 52, 64) were included, with a significant difference in age between groups (P = .05). Mean time from infection was 287 days ± 79 (95% CI: 240, 334) and 143 days ± 72 (95% CI: 105, 190) in NHLC and PHC participants, respectively. NHLC and PHC participants had normal or near normal CT scans (mean, 0.3/25 ± 0.6 [95% CI: 0, 0.63] and 7/25 ± 5 [95% CI: 4, 10], respectively). Gas transfer (Dlco) was different between NHLC and PHC participants (mean Dlco, 76% ± 8 [95% CI: 73, 83] vs 86% ± 8 [95% CI: 80, 91], respectively; P = .04), but there was no evidence of other differences in lung function. Mean red blood cell-to-tissue plasma ratio was different between volunteers (mean, 0.45 ± 0.07; 95% CI: 0.43, 0.47]) and PHC participants (mean, 0.31 ± 0.10; 95% CI: 0.24, 0.37; P = .02) and between volunteers and NHLC participants (mean, 0.37 ± 0.10; 95% CI: 0.31, 0.44; P = .03) but not between NHLC and PHC participants (P = .26). FAN results did not correlate with Dlco) or HP 129Xe MRI results. Conclusion Nonhospitalized participants with post-COVID-19 condition (NHLC) and posthospitalized participants with post-COVID-19 condition (PHC) showed hyperpolarized pulmonary xenon 129 MRI and red blood cell-to-tissue plasma abnormalities, with NHLC participants demonstrating lower gas transfer than PHC participants despite having normal CT findings. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Parraga and Matheson in this issue.
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Affiliation(s)
- James T. Grist
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Guilhem J. Collier
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Huw Walters
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Minsuok Kim
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Mitchell Chen
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Gabriele Abu Eid
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Aviana Laws
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Violet Matthews
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Kenneth Jacob
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Susan Cross
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Alexandra Eves
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Marianne Durrant
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Anthony McIntyre
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Roger Thompson
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Rolf F. Schulte
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Betty Raman
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Peter A. Robbins
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Jim M. Wild
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Emily Fraser
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
| | - Fergus Gleeson
- From the Department of Radiology (J.T.G., H.W., M.C., G.A.E., A.L.,
V.M., K.J., S.C., A.E., M.D., A.M., F.G.) and Oxford Interstitial Lung Disease
Service (E.F.), Oxford University Hospitals NHS Trust, Oxford, UK; Department of
Physiology, Anatomy, and Genetics (J.T.G., P.A.R.), Radcliffe Department of
Medicine, Oxford Centre for Clinical Magnetic Resonance Research (J.T.G., B.R.),
and Department of Oncology (F.G.), University of Oxford, Old Road Headington,
Oxford 0X3 7DQ, UK; Institute of Cancer and Genomic Sciences, University
of Birmingham, Birmingham, UK (J.T.G.); POLARIS, Department of Infection
Immunity and Cardiovascular Disease (G.J.C., J.M.W.), and Department of
Infection, Immunity, and Cardiovascular Disease (R.T.), University of Sheffield,
Sheffield, UK; Wolfson School of Mechanical, Electrical and Manufacturing
Engineering, Loughborough University, Loughborough, UK (M.K.); and GE
Healthcare, Munich, Germany (R.F.S.)
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17
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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: 9] [Impact Index Per Article: 3.0] [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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18
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Preclinical MRI Using Hyperpolarized 129Xe. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27238338. [PMID: 36500430 PMCID: PMC9738892 DOI: 10.3390/molecules27238338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022]
Abstract
Although critical for development of novel therapies, understanding altered lung function in disease models is challenging because the transport and diffusion of gases over short distances, on which proper function relies, is not readily visualized. In this review we summarize progress introducing hyperpolarized 129Xe imaging as a method to follow these processes in vivo. The work is organized in sections highlighting methods to observe the gas replacement effects of breathing (Gas Dynamics during the Breathing Cycle) and gas diffusion throughout the parenchymal airspaces (3). We then describe the spectral signatures indicative of gas dissolution and uptake (4), and how these features can be used to follow the gas as it enters the tissue and capillary bed, is taken up by hemoglobin in the red blood cells (5), re-enters the gas phase prior to exhalation (6), or is carried via the vasculature to other organs and body structures (7). We conclude with a discussion of practical imaging and spectroscopy techniques that deliver quantifiable metrics despite the small size, rapid motion and decay of signal and coherence characteristic of the magnetically inhomogeneous lung in preclinical models (8).
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19
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MR Imaging for the Evaluation of Diffuse Lung Disease. Radiol Clin North Am 2022; 60:1021-1032. [DOI: 10.1016/j.rcl.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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20
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Gleeson F, Fraser E. Hyperpolarized Xenon MRI, Further Evidence of Its Use in Progressive Pulmonary Fibrosis? Radiology 2022; 305:697-698. [PMID: 35880988 DOI: 10.1148/radiol.221381] [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)
- Fergus Gleeson
- From the Departments of Radiology and Oncology (F.G.) and Oxford Interstitial Lung Disease Service (E.F.), Oxford University Hospitals NHS Trust, Old Road, Headington, Oxford 0X3 7DQ, UK
| | - Emily Fraser
- From the Departments of Radiology and Oncology (F.G.) and Oxford Interstitial Lung Disease Service (E.F.), Oxford University Hospitals NHS Trust, Old Road, Headington, Oxford 0X3 7DQ, UK
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21
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Obert AJ, Gutberlet M, Kern AL, Kaireit TF, Glandorf J, Moher Alsady T, Wacker F, Hohlfeld JM, Vogel‐Claussen J. Examining lung microstructure using
19
F MR
diffusion imaging in
COPD
patients. Magn Reson Med 2022; 88:860-870. [DOI: 10.1002/mrm.29237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/24/2022] [Accepted: 02/26/2022] [Indexed: 12/16/2022]
Affiliation(s)
- Arnd Jonathan Obert
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Marcel Gutberlet
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Agilo Luitger Kern
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Till Frederik Kaireit
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Julian Glandorf
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Tawfik Moher Alsady
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
| | - Jens Michael Hohlfeld
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
- Department of Respiratory Medicine Hannover Medical School Hannover Germany
- Department of Clinical Airway Research Fraunhofer Institute for Toxicology and Experimental Medicine Hannover Germany
| | - Jens Vogel‐Claussen
- Institute for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover German Center for Lung Research Hannover Germany
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22
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DOĞANAY Ö. Computational investigation of fitting for calculation of signal dynamics from hyperpolarized xenon-129 Gas MRI. EGE TIP DERGISI 2022. [DOI: 10.19161/etd.1085607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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23
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Bdaiwi AS, Niedbalski PJ, Hossain MM, Willmering MM, Walkup LL, Wang H, Thomen RP, Ruppert K, Woods JC, Cleveland ZI. Improving hyperpolarized 129 Xe ADC mapping in pediatric and adult lungs with uncertainty propagation. NMR IN BIOMEDICINE 2022; 35:e4639. [PMID: 34729838 PMCID: PMC8828677 DOI: 10.1002/nbm.4639] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 06/13/2023]
Abstract
RATIONALE Hyperpolarized (HP) 129 Xe-MRI provides non-invasive methods to quantify lung function and structure, with the 129 Xe apparent diffusion coefficient (ADC) being a well validated measure of alveolar airspace size. However, the experimental factors that impact the precision and accuracy of HP 129 Xe ADC measurements have not been rigorously investigated. Here, we introduce an analytical model to predict the experimental uncertainty of 129 Xe ADC estimates. Additionally, we report ADC dependence on age in healthy pediatric volunteers. METHODS An analytical expression for ADC uncertainty was derived from the Stejskal-Tanner equation and simplified Bloch equations appropriate for HP media. Parameters in the model were maximum b-value (bmax ), number of b-values (Nb ), number of phase encoding lines (Nph ), flip angle and the ADC itself. This model was validated by simulations and phantom experiments, and five fitting methods for calculating ADC were investigated. To examine the lower range for 129 Xe ADC, 32 healthy subjects (age 6-40 years) underwent diffusion-weighted 129 Xe MRI. RESULTS The analytical model provides a lower bound on ADC uncertainty and predicts that decreased signal-to-noise ratio yields increases in relative uncertainty (ϵADC) . As such, experimental parameters that impact non-equilibrium 129 Xe magnetization necessarily impact the resulting ϵADC . The values of diffusion encoding parameters (Nb and bmax ) that minimize ϵADC strongly depend on the underlying ADC value, resulting in a global minimum for ϵADC . Bayesian fitting outperformed other methods (error < 5%) for estimating ADC. The whole-lung mean 129 Xe ADC of healthy subjects increased with age at a rate of 1.75 × 10-4 cm2 /s/yr (p = 0.001). CONCLUSIONS HP 129 Xe diffusion MRI can be improved by minimizing the uncertainty of ADC measurements via uncertainty propagation. Doing so will improve experimental accuracy when measuring lung microstructure in vivo and should allow improved monitoring of regional disease progression and assessment of therapy response in a range of lung diseases.
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Affiliation(s)
- Abdullah S. Bdaiwi
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
- Department of Biomedical Engineering, University of
Cincinnati, Cincinnati, OH 45221
| | - Peter J. Niedbalski
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
| | - Md M. Hossain
- Division of Biostatistics and Epidemiology, Cincinnati
Children’s Hospital Medical Center, Cincinnati, OH 45229
| | - Matthew M. Willmering
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
| | - Laura L. Walkup
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, 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
| | - Hui Wang
- Philips Healthcare, Cincinnati, OH, USA
| | - Robert P. Thomen
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
| | - Kai Ruppert
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
| | - Jason C. Woods
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, Children’s Hospital Medical Center, Cincinnati, OH
45229
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221
| | - Zackary I. Cleveland
- Center for Pulmonary Imaging Research, Division of
Pulmonary Medicine, 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
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24
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Bozovic G, Schaefer-Prokop CM, Bankier AA. Pulmonary functional imaging (PFI): A historical review and perspective. Acta Radiol 2022; 64:90-100. [PMID: 35118881 DOI: 10.1177/02841851221076324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PFI Pulmonary Functional Imaging (PFI) refers to visualization and measurement of ventilation, perfusion, gas flow and exchange as well as biomechanics. In this review, we will highlight the historical development of PFI, describing recent advances and listing the various techniques for PFI offered per modality. Challenges PFI is facing and requirements for PFI from a clinical point of view will be pointed out. Hereby the review is meant as an introduction to PFI.
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Affiliation(s)
- Gracijela Bozovic
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Cornelia M Schaefer-Prokop
- Department of Radiology, Meander Medical Centre, TZ Amersfoort, The Netherlands
- Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Alexander A Bankier
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA
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25
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Samarelli AV, Masciale V, Aramini B, Coló GP, Tonelli R, Marchioni A, Bruzzi G, Gozzi F, Andrisani D, Castaniere I, Manicardi L, Moretti A, Tabbì L, Guaitoli G, Cerri S, Dominici M, Clini E. Molecular Mechanisms and Cellular Contribution from Lung Fibrosis to Lung Cancer Development. Int J Mol Sci 2021; 22:12179. [PMID: 34830058 PMCID: PMC8624248 DOI: 10.3390/ijms222212179] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/29/2021] [Accepted: 10/30/2021] [Indexed: 12/15/2022] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, fibrosing interstitial lung disease (ILD) of unknown aetiology, with a median survival of 2-4 years from the time of diagnosis. Although IPF has unknown aetiology by definition, there have been identified several risks factors increasing the probability of the onset and progression of the disease in IPF patients such as cigarette smoking and environmental risk factors associated with domestic and occupational exposure. Among them, cigarette smoking together with concomitant emphysema might predispose IPF patients to lung cancer (LC), mostly to non-small cell lung cancer (NSCLC), increasing the risk of lung cancer development. To this purpose, IPF and LC share several cellular and molecular processes driving the progression of both pathologies such as fibroblast transition proliferation and activation, endoplasmic reticulum stress, oxidative stress, and many genetic and epigenetic markers that predispose IPF patients to LC development. Nintedanib, a tyrosine-kinase inhibitor, was firstly developed as an anticancer drug and then recognized as an anti-fibrotic agent based on the common target molecular pathway. In this review our aim is to describe the updated studies on common cellular and molecular mechanisms between IPF and lung cancer, knowledge of which might help to find novel therapeutic targets for this disease combination.
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Affiliation(s)
- Anna Valeria Samarelli
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Valentina Masciale
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Oncology Unit, University Hospital of Modena and Reggio Emilia, University of Modena and Reggio Emilia, 41100 Modena, Italy;
| | - Beatrice Aramini
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Thoracic Surgery Unit, Department of Diagnostic and Specialty Medicine—DIMES of the Alma Mater Studiorum, University of Bologna, G.B. Morgagni—L. Pierantoni Hospital, 34 Carlo Forlanini Street, 47121 Forlì, Italy
| | - Georgina Pamela Coló
- Laboratorio de Biología del Cáncer INIBIBB-UNS-CONICET-CCT, Bahía Blanca 8000, Argentina;
| | - Roberto Tonelli
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41100 Modena, Italy
| | - Alessandro Marchioni
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Giulia Bruzzi
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Filippo Gozzi
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41100 Modena, Italy
| | - Dario Andrisani
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41100 Modena, Italy
| | - Ivana Castaniere
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41100 Modena, Italy
| | - Linda Manicardi
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Antonio Moretti
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Luca Tabbì
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Giorgia Guaitoli
- Oncology Unit, University Hospital of Modena and Reggio Emilia, University of Modena and Reggio Emilia, 41100 Modena, Italy;
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41100 Modena, Italy
| | - Stefania Cerri
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
| | - Massimo Dominici
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Oncology Unit, University Hospital of Modena and Reggio Emilia, University of Modena and Reggio Emilia, 41100 Modena, Italy;
| | - Enrico Clini
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, 41100 Modena, Italy; (A.V.S.); (V.M.); (B.A.); (R.T.); (A.M.); (G.B.); (F.G.); (D.A.); (I.C.); (L.M.); (A.M.); (S.C.); (M.D.)
- Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena and Reggio Emilia, University of Modena Reggio Emilia, 41100 Modena, Italy;
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26
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Liu Z, Tang X, Zhu Z, Ma X, Zhou W, Guan W. Recent Advances in Fluorescence Imaging of Pulmonary Fibrosis in Animal Models. Front Mol Biosci 2021; 8:773162. [PMID: 34796202 PMCID: PMC8592921 DOI: 10.3389/fmolb.2021.773162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/18/2021] [Indexed: 11/16/2022] Open
Abstract
Pulmonary fibrosis (PF) is a lung disease that may cause impaired gas exchange and respiratory failure while being difficult to treat. Rapid, sensitive, and accurate detection of lung tissue and cell changes is essential for the effective diagnosis and treatment of PF. Currently, the commonly-used high-resolution computed tomography (HRCT) imaging has been challenging to distinguish early PF from other pathological processes in the lung structure. Magnetic resonance imaging (MRI) using hyperpolarized gases is hampered by the higher cost to become a routine diagnostic tool. As a result, the development of new PF imaging technologies may be a promising solution. Here, we summarize and discuss recent advances in fluorescence imaging as a talented optical technique for the diagnosis and evaluation of PF, including collagen imaging, oxidative stress, inflammation, and PF-related biomarkers. The design strategies of the probes for fluorescence imaging (including multimodal imaging) of PF are briefly described, which can provide new ideas for the future PF-related imaging research. It is hoped that this review will promote the translation of fluorescence imaging into a clinically usable assay in PF.
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Affiliation(s)
- Zongwei Liu
- Department of Respiratory Medicine, Lianyungang Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China
| | - Xiaofang Tang
- Green Catalysis Center, College of Chemistry, Zhengzhou University, Zhengzhou, China
| | - Zongling Zhu
- Department of Respiratory Medicine, Pukou District Hospital of Chinese Medicine, Pukou Branch of Nanjing Hospital of Chinese Medicine, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
| | - Xunxun Ma
- Department of Respiratory Medicine, Lianyungang Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China
| | - Wenjuan Zhou
- Department of Chemistry, Capital Normal University, Beijing, China
| | - Weijiang Guan
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
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27
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Tustison NJ, Altes TA, Qing K, He M, Miller GW, Avants BB, Shim YM, Gee JC, Mugler JP, Mata JF. Image- versus histogram-based considerations in semantic segmentation of pulmonary hyperpolarized gas images. Magn Reson Med 2021; 86:2822-2836. [PMID: 34227163 DOI: 10.1002/mrm.28908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/05/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE To characterize the differences between histogram-based and image-based algorithms for segmentation of hyperpolarized gas lung images. METHODS Four previously published histogram-based segmentation algorithms (ie, linear binning, hierarchical k-means, fuzzy spatial c-means, and a Gaussian mixture model with a Markov random field prior) and an image-based convolutional neural network were used to segment 2 simulated data sets derived from a public (n = 29 subjects) and a retrospective collection (n = 51 subjects) of hyperpolarized 129Xe gas lung images transformed by common MRI artifacts (noise and nonlinear intensity distortion). The resulting ventilation-based segmentations were used to assess algorithmic performance and characterize optimization domain differences in terms of measurement bias and precision. RESULTS Although facilitating computational processing and providing discriminating clinically relevant measures of interest, histogram-based segmentation methods discard important contextual spatial information and are consequently less robust in terms of measurement precision in the presence of common MRI artifacts relative to the image-based convolutional neural network. CONCLUSIONS Direct optimization within the image domain using convolutional neural networks leverages spatial information, which mitigates problematic issues associated with histogram-based approaches and suggests a preferred future research direction. Further, the entire processing and evaluation framework, including the newly reported deep learning functionality, is available as open source through the well-known Advanced Normalization Tools ecosystem.
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Affiliation(s)
- Nicholas J Tustison
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Talissa A Altes
- Department of Radiology, University of Missouri, Columbia, Missouri, USA
| | - Kun Qing
- Department of Radiation Oncology, City of Hope, Los Angeles, California, USA
| | - Mu He
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - G Wilson Miller
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Brian B Avants
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Yun M Shim
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - James C Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John P Mugler
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Jaime F Mata
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
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Hobbs SB, Chung JH, Walker CM, Bang TJ, Carter BW, Christensen JD, Danoff SK, Kandathil A, Madan R, Moore WH, Shah SD, Kanne JP. ACR Appropriateness Criteria® Diffuse Lung Disease. J Am Coll Radiol 2021; 18:S320-S329. [PMID: 34794591 DOI: 10.1016/j.jacr.2021.08.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 08/26/2021] [Indexed: 11/28/2022]
Abstract
Diffuse lung disease, frequently referred to as interstitial lung disease, encompasses numerous disorders affecting the lung parenchyma. The potential etiologies of diffuse lung disease are broad with several hundred established clinical syndromes and pathologies currently identified. Imaging plays a critical role in diagnosis and follow-up of many of these diseases, although multidisciplinary discussion is the current standard for diagnosis of several DLDs. This document aims to establish guidelines for evaluation of diffuse lung diseases for 1) initial imaging of suspected diffuse lung disease, 2) initial imaging of suspected acute exacerbation or acute deterioration in cases of confirmed diffuse lung disease, and 3) clinically indicated routine follow-up of confirmed diffuse lung disease without acute deterioration. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Stephen B Hobbs
- Vice-Chair, Informatics and Integrated Clinical Operations and Division Chief, Cardiovascular and Thoracic Radiology, University of Kentucky, Lexington, Kentucky.
| | - Jonathan H Chung
- Panel Chair; and Vice-Chair of Quality, and Section Chief, Chest Imaging, Department of Radiology, University of Chicago, Chicago, Illinois
| | | | - Tami J Bang
- Co-Director, Cardiothoracic Imaging Fellowship Committee, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado; Co-Chair, membership committee, NASCI; and Membership committee, ad-hoc online content committee, STR
| | - Brett W Carter
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jared D Christensen
- Vice-Chair, Department of Radiology, Duke University Medical Center, Durham, North Carolina; and Chair, ACR Lungs-RADS
| | - Sonye K Danoff
- Johns Hopkins Medicine, Baltimore, Maryland; Board of Directors, American Thoracic Society; Senior Medical Advisor, Pulmonary Fibrosis Foundation; and Medical Advisory Board Member, The Myositis Association
| | | | - Rachna Madan
- Associate Fellowship Director, Division of Thoracic Imaging, Brigham & Women's Hospital, Boston, Massachusetts
| | - William H Moore
- Associate Chair, Clinical Informatics and Chief, Thoracic Imaging, New York University Langone Medical Center, New York, New York
| | - Sachin D Shah
- Associate Chief and Medical Information Officer, University of Chicago, Chicago, Illinois; and Primary care physician
| | - Jeffrey P Kanne
- Specialty Chair, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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29
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Khan AS, Harvey RL, Birchall JR, Irwin RK, Nikolaou P, Schrank G, Emami K, Dummer A, Barlow MJ, Goodson BM, Chekmenev EY. Enabling Clinical Technologies for Hyperpolarized 129 Xenon Magnetic Resonance Imaging and Spectroscopy. Angew Chem Int Ed Engl 2021; 60:22126-22147. [PMID: 34018297 PMCID: PMC8478785 DOI: 10.1002/anie.202015200] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Indexed: 11/06/2022]
Abstract
Hyperpolarization is a technique that can increase nuclear spin polarization with the corresponding gains in nuclear magnetic resonance (NMR) signals by 4-8 orders of magnitude. When this process is applied to biologically relevant samples, the hyperpolarized molecules can be used as exogenous magnetic resonance imaging (MRI) contrast agents. A technique called spin-exchange optical pumping (SEOP) can be applied to hyperpolarize noble gases such as 129 Xe. Techniques based on hyperpolarized 129 Xe are poised to revolutionize clinical lung imaging, offering a non-ionizing, high-contrast alternative to computed tomography (CT) imaging and conventional proton MRI. Moreover, CT and conventional proton MRI report on lung tissue structure but provide little functional information. On the other hand, when a subject breathes hyperpolarized 129 Xe gas, functional lung images reporting on lung ventilation, perfusion and diffusion with 3D readout can be obtained in seconds. In this Review, the physics of SEOP is discussed and the different production modalities are explained in the context of their clinical application. We also briefly compare SEOP to other hyperpolarization methods and conclude this paper with the outlook for biomedical applications of hyperpolarized 129 Xe to lung imaging and beyond.
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Affiliation(s)
- Alixander S Khan
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Rebecca L Harvey
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Jonathan R Birchall
- Intergrative Biosciences (Ibio), Wayne State University, Karmanos Cancer Institute (KCI), 5101 Cass Avenue, Detroit, MI, 48202, USA
| | - Robert K Irwin
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, NG7 2RD, UK
| | | | - Geoffry Schrank
- Northrup Grumman Space Systems, 45101 Warp Drive, Sterling, VA, 20166, USA
| | | | | | - Michael J Barlow
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Boyd M Goodson
- Department of Chemistry and Biochemistry, Southern Illinois University, 1245 Lincoln Drive, Carbondale, IL, 62901, USA
- Materials Technology Center, Southern Illinois University, 1245 Lincoln Drive, Carbondale, IL, 62901, USA
| | - Eduard Y Chekmenev
- Intergrative Biosciences (Ibio), Wayne State University, Karmanos Cancer Institute (KCI), 5101 Cass Avenue, Detroit, MI, 48202, USA
- Russian Academy of Sciences, Leninskiy Prospekt 14, Moscow, 119991, Russia
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30
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Niedbalski PJ, Hall CS, Castro M, Eddy RL, Rayment JH, Svenningsen S, Parraga G, Zanette B, Santyr GE, Thomen RP, Stewart NJ, Collier GJ, Chan HF, Wild JM, Fain SB, Miller GW, Mata JF, Mugler JP, Driehuys B, Willmering MM, Cleveland ZI, Woods JC. Protocols for multi-site trials using hyperpolarized 129 Xe MRI for imaging of ventilation, alveolar-airspace size, and gas exchange: A position paper from the 129 Xe MRI clinical trials consortium. Magn Reson Med 2021; 86:2966-2986. [PMID: 34478584 DOI: 10.1002/mrm.28985] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/13/2021] [Accepted: 08/06/2021] [Indexed: 12/12/2022]
Abstract
Hyperpolarized (HP) 129 Xe MRI uniquely images pulmonary ventilation, gas exchange, and terminal airway morphology rapidly and safely, providing novel information not possible using conventional imaging modalities or pulmonary function tests. As such, there is mounting interest in expanding the use of biomarkers derived from HP 129 Xe MRI as outcome measures in multi-site clinical trials across a range of pulmonary disorders. Until recently, HP 129 Xe MRI techniques have been developed largely independently at a limited number of academic centers, without harmonizing acquisition strategies. To promote uniformity and adoption of HP 129 Xe MRI more widely in translational research, multi-site trials, and ultimately clinical practice, this position paper from the 129 Xe MRI Clinical Trials Consortium (https://cpir.cchmc.org/XeMRICTC) recommends standard protocols to harmonize methods for image acquisition in HP 129 Xe MRI. Recommendations are described for the most common HP gas MRI techniques-calibration, ventilation, alveolar-airspace size, and gas exchange-across MRI scanner manufacturers most used for this application. Moreover, recommendations are described for 129 Xe dose volumes and breath-hold standardization to further foster consistency of imaging studies. The intention is that sites with HP 129 Xe MRI capabilities can readily implement these methods to obtain consistent high-quality images that provide regional insight into lung structure and function. While this document represents consensus at a snapshot in time, a roadmap for technical developments is provided that will further increase image quality and efficiency. These standardized dosing and imaging protocols will facilitate the wider adoption of HP 129 Xe MRI for multi-site pulmonary research.
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Affiliation(s)
- Peter J Niedbalski
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Chase S Hall
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Rachel L Eddy
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.,Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jonathan H Rayment
- Division of Respiratory Medicine, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah Svenningsen
- Firestone Institute for Respiratory Health, St Joseph's Healthcare, McMaster University, Hamilton, Ontario, Canada.,Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - Brandon Zanette
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Giles E Santyr
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Robert P Thomen
- Departments of Radiology and Bioengineering, University of Missouri, Columbia, Missouri, USA
| | - Neil J Stewart
- 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
| | - Ho-Fung Chan
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Jim M Wild
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Sean B Fain
- Departments of Medical Physics, Radiology, and Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA
| | - G Wilson Miller
- Center for In-vivo Hyperpolarized Gas MR Imaging, Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Jaime F Mata
- Center for In-vivo Hyperpolarized Gas MR Imaging, Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - John P Mugler
- Center for In-vivo Hyperpolarized Gas MR Imaging, Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Bastiaan Driehuys
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Matthew M Willmering
- Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Zackary I Cleveland
- Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Departments of Pediatrics (Pulmonary Medicine) and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jason C Woods
- Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Departments of Pediatrics (Pulmonary Medicine) and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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31
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Grynko V, Shepelytskyi Y, Li T, Hassan A, Granberg K, Albert MS. Hyperpolarized 129 Xe multi-slice imaging of the human brain using a 3D gradient echo pulse sequence. Magn Reson Med 2021; 86:3175-3181. [PMID: 34272774 DOI: 10.1002/mrm.28932] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 06/10/2021] [Accepted: 06/30/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE To demonstrate the possibility of performing multi-slice in-vivo human brain MRI using hyperpolarized (HP) xenon-129 (129 Xe) in two different orientations and to calculate the signal-to-noise ratio (SNR). METHODS Two healthy female participants were imaged during a single breath-hold of HP 129 Xe using a Philips Achieva 3.0T MRI scanner (Philips, Andover, MA). Each HP 129 Xe multi-slice brain image was acquired during separate HP 129 Xe breath-holds using 3D gradient echo (GRE) imaging. The acquisition started 10 s after the inhalation of 1 L of HP 129 Xe. Overall, four sagittal and three axial images were acquired (seven imaging sessions per participant). The SNR was calculated for each slice in both orientations. RESULTS The first ever HP 129 Xe multi-slice images of the brain were acquired in axial and sagittal orientations. The HP 129 Xe signal distribution correlated well with the gray matter distribution. The highest SNR values were close in the axial and sagittal orientations (19.46 ± 3.25 and 18.76 ± 4.94, respectively). Additionally, anatomical features, such as the ventricles, were observed in both orientations. CONCLUSION The possibility of using multi-slice HP 129 Xe human brain magnetic resonance imaging was demonstrated for the first time. HP 129 Xe multi-slice MRI can be implemented for brain imaging to improve current diagnostic methods.
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Affiliation(s)
- Vira Grynko
- Chemistry and Materials Science Program, Lakehead University, Thunder Bay, Ontario, Canada.,Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada
| | - Yurii Shepelytskyi
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada.,Chemistry Department, Lakehead University, Thunder Bay, Ontario, Canada
| | - Tao Li
- Chemistry Department, Lakehead University, Thunder Bay, Ontario, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Sciences Centre, Thunder Bay, Ontario, Canada.,Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada
| | - Karl Granberg
- Thunder Bay Regional Health Sciences Centre, Thunder Bay, Ontario, Canada
| | - Mitchell S Albert
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada.,Chemistry Department, Lakehead University, Thunder Bay, Ontario, Canada.,Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada
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32
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Fliss JD, Zanette B, Friedlander Y, Sadanand S, Lindenmaier AA, Stirrat E, Li D, Post M, Jankov RP, Santyr G. Hyperpolarized 129Xe magnetic resonance spectroscopy in a rat model of bronchopulmonary dysplasia. Am J Physiol Lung Cell Mol Physiol 2021; 321:L507-L517. [PMID: 34189953 DOI: 10.1152/ajplung.00612.2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Premature infants often require mechanical ventilation and oxygen therapy, which can result in bronchopulmonary dysplasia (BPD), characterized by developmental arrest and impaired lung function. Conventional clinical methods for assessing the prenatal lung are not adequate for the detection and assessment of long-term health risks in infants with BPD, highlighting the need for a noninvasive tool for the characterization of lung microstructure and function. Theoretical diffusion models, like the model of xenon exchange (MOXE), interrogate alveolar gas exchange by predicting the uptake of inert hyperpolarized (HP) 129Xe gas measured with HP 129Xe magnetic resonance spectroscopy (MRS). To investigate HP 129Xe MRS as a tool for noninvasive characterization of pulmonary microstructural and functional changes in vivo, HP 129Xe gas exchange data were acquired in an oxygen exposure rat model of BPD that recapitulates the fewer and larger distal airways and pulmonary vascular stunting characteristics of BPD. Gas exchange parameters from MOXE, including airspace mean chord length (Lm), apparent hematocrit in the pulmonary capillaries (HCT), and pulmonary capillary transit time (tx), were compared with airspace mean axis length and area density (MAL and ρA) and percentage area of tissue and air (PTA and PAA) from histology. Lm was significantly larger in the exposed rats (P = 0.003) and correlated with MAL, ρA, PTA, and PAA (0.59<|ρ|<0.66 and P < 0.05). Observed increase in HCT (P = 0.012) and changes in tx are also discussed. These findings support the use of HP 129Xe MRS for detecting fewer, enlarged distal airways in this rat model of BPD, and potentially in humans.
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Affiliation(s)
- Jordan D Fliss
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Yonni Friedlander
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Siddharth Sadanand
- Department of Biomedical Physics, Ryerson University, Toronto, Ontario, Canada
| | - Andras A Lindenmaier
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Elaine Stirrat
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Daniel Li
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Martin Post
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada.,Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Robert P Jankov
- Molecular Biomedicine Program, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Giles Santyr
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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33
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Khan AS, Harvey RL, Birchall JR, Irwin RK, Nikolaou P, Schrank G, Emami K, Dummer A, Barlow MJ, Goodson BM, Chekmenev EY. Enabling Clinical Technologies for Hyperpolarized
129
Xenon Magnetic Resonance Imaging and Spectroscopy. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202015200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Alixander S. Khan
- Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham NG7 2RD UK
| | - Rebecca L. Harvey
- Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham NG7 2RD UK
| | - Jonathan R. Birchall
- Intergrative Biosciences (Ibio) Wayne State University, Karmanos Cancer Institute (KCI) 5101 Cass Avenue Detroit MI 48202 USA
| | - Robert K. Irwin
- Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham NG7 2RD UK
| | | | - Geoffry Schrank
- Northrup Grumman Space Systems 45101 Warp Drive Sterling VA 20166 USA
| | | | | | - Michael J. Barlow
- Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham NG7 2RD UK
| | - Boyd M. Goodson
- Department of Chemistry and Biochemistry Southern Illinois University 1245 Lincoln Drive Carbondale IL 62901 USA
- Materials Technology Center Southern Illinois University 1245 Lincoln Drive Carbondale IL 62901 USA
| | - Eduard Y. Chekmenev
- Intergrative Biosciences (Ibio) Wayne State University, Karmanos Cancer Institute (KCI) 5101 Cass Avenue Detroit MI 48202 USA
- Russian Academy of Sciences Leninskiy Prospekt 14 Moscow 119991 Russia
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Gefter WB, Lee KS, Schiebler ML, Parraga G, Seo JB, Ohno Y, Hatabu H. Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care. Radiology 2021; 299:524-538. [PMID: 33847518 DOI: 10.1148/radiol.2021204033] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Pulmonary functional imaging may be defined as the regional quantification of lung function by using primarily CT, MRI, and nuclear medicine techniques. The distribution of pulmonary physiologic parameters, including ventilation, perfusion, gas exchange, and biomechanics, can be noninvasively mapped and measured throughout the lungs. This information is not accessible by using conventional pulmonary function tests, which measure total lung function without viewing the regional distribution. The latter is important because of the heterogeneous distribution of virtually all lung disorders. Moreover, techniques such as hyperpolarized xenon 129 and helium 3 MRI can probe lung physiologic structure and microstructure at the level of the alveolar-air and alveolar-red blood cell interface, which is well beyond the spatial resolution of other clinical methods. The opportunities, challenges, and current stage of clinical deployment of pulmonary functional imaging are reviewed, including applications to chronic obstructive pulmonary disease, asthma, interstitial lung disease, pulmonary embolism, and pulmonary hypertension. Among the challenges to the deployment of pulmonary functional imaging in routine clinical practice are the need for further validation, establishment of normal values, standardization of imaging acquisition and analysis, and evidence of patient outcomes benefit. When these challenges are addressed, it is anticipated that pulmonary functional imaging will have an expanding role in the evaluation and management of patients with lung disease.
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Affiliation(s)
- Warren B Gefter
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Kyung Soo Lee
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Mark L Schiebler
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Grace Parraga
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Joon Beom Seo
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Yoshiharu Ohno
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
| | - Hiroto Hatabu
- From the Department of Radiology, Penn Medicine, University of Pennsylvania, Philadelphia, Pa (W.B.G.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (SKKU-SOM), Seoul, South Korea (K.S.L.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); Departments of Medicine and Medical Biophysics, Robarts Research Institute, Western University, London, Canada (G.P.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.B.S.); Department of Radiology and Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); and Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.)
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35
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Birchall JR, Irwin RK, Chowdhury MRH, Nikolaou P, Goodson BM, Barlow MJ, Shcherbakov A, Chekmenev EY. Automated Low-Cost In Situ IR and NMR Spectroscopy Characterization of Clinical-Scale 129Xe Spin-Exchange Optical Pumping. Anal Chem 2021; 93:3883-3888. [PMID: 33591160 DOI: 10.1021/acs.analchem.0c04545] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We present on the utility of in situ nuclear magnetic resonance (NMR) and near-infrared (NIR) spectroscopic techniques for automated advanced analysis of the 129Xe hyperpolarization process during spin-exchange optical pumping (SEOP). The developed software protocol, written in the MATLAB programming language, facilitates detailed characterization of hyperpolarized contrast agent production efficiency based on determination of key performance indicators, including the maximum achievable 129Xe polarization, steady-state Rb-129Xe spin-exchange and 129Xe polarization build-up rates, 129Xe spin-relaxation rates, and estimates of steady-state Rb electron polarization. Mapping the dynamics of 129Xe polarization and relaxation as a function of SEOP temperature enables systematic optimization of the batch-mode SEOP process. The automated analysis of a typical experimental data set, encompassing ∼300 raw NMR and NIR spectra combined across six different SEOP temperatures, can be performed in under 5 min on a laptop computer. The protocol is designed to be robust in operation on any batch-mode SEOP hyperpolarizer device. In particular, we demonstrate the implementation of a combination of low-cost NIR and low-frequency NMR spectrometers (∼$1,100 and ∼$300 respectively, ca. 2020) for use in the described protocols. The demonstrated methodology will aid in the characterization of NMR hyperpolarization hardware in the context of SEOP and other hyperpolarization techniques for more robust and less expensive clinical production of HP 129Xe and other contrast agents.
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Affiliation(s)
- Jonathan R Birchall
- Department of Chemistry, Integrative Biosciences (Ibio), Wayne State University, Karmanos Cancer Institute (KCI), Detroit, Michigan 48202, United States
| | - Robert K Irwin
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham NG7 2RD, United Kingdom
| | - Md Raduanul H Chowdhury
- Department of Chemistry, Integrative Biosciences (Ibio), Wayne State University, Karmanos Cancer Institute (KCI), Detroit, Michigan 48202, United States
| | | | | | - Michael J Barlow
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham NG7 2RD, United Kingdom
| | - Anton Shcherbakov
- Smart-A, Perm, Perm Region 614000, Russia.,Custom Medical Systems (CMS) LTD, Nicosia 2312, Cyprus
| | - Eduard Y Chekmenev
- Department of Chemistry, Integrative Biosciences (Ibio), Wayne State University, Karmanos Cancer Institute (KCI), Detroit, Michigan 48202, United States.,Russian Academy of Sciences, Leninskiy Prospekt 14, Moscow 119991, Russia
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Hobbs S, Chung JH, Leb J, Kaproth-Joslin K, Lynch DA. Practical Imaging Interpretation in Patients Suspected of Having Idiopathic Pulmonary Fibrosis: Official Recommendations from the Radiology Working Group of the Pulmonary Fibrosis Foundation. Radiol Cardiothorac Imaging 2021; 3:e200279. [PMID: 33778653 PMCID: PMC7977697 DOI: 10.1148/ryct.2021200279] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 12/20/2022]
Abstract
Imaging serves a key role in the diagnosis of patients suspected of having idiopathic pulmonary fibrosis (IPF). Accurate pattern classification at thin-section chest CT is a key step in multidisciplinary discussions, guiding the need for surgical lung biopsy and determining available pharmacologic therapies. The recent approval of new treatments for fibrosing lung disease has made it more critical than ever for radiologists to facilitate accurate and early diagnosis of IPF. This document was developed by the Radiology Working Group of the Pulmonary Fibrosis Foundation with the goal of providing a practical guide for radiologists. In this review, the critical imaging patterns of IPF, pitfalls in imaging classifications, confounding imaging findings with other fibrotic lung diseases, and reporting standards for cases of lung fibrosis will be discussed. Published under a CC BY 4.0 license. See also the commentary by White and Galvin in this issue.
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Affiliation(s)
- Stephen Hobbs
- Department of Radiology, University of Kentucky, 800 Rose St, HX-315B, Lexington, KY 40536 (S.H.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, Columbia University, New York, NY (J.L.); Department of Imaging Sciences, University of Rochester, Rochester, NY (K.K.J.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - Jonathan H Chung
- Department of Radiology, University of Kentucky, 800 Rose St, HX-315B, Lexington, KY 40536 (S.H.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, Columbia University, New York, NY (J.L.); Department of Imaging Sciences, University of Rochester, Rochester, NY (K.K.J.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - Jay Leb
- Department of Radiology, University of Kentucky, 800 Rose St, HX-315B, Lexington, KY 40536 (S.H.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, Columbia University, New York, NY (J.L.); Department of Imaging Sciences, University of Rochester, Rochester, NY (K.K.J.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - Kate Kaproth-Joslin
- Department of Radiology, University of Kentucky, 800 Rose St, HX-315B, Lexington, KY 40536 (S.H.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, Columbia University, New York, NY (J.L.); Department of Imaging Sciences, University of Rochester, Rochester, NY (K.K.J.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - David A Lynch
- Department of Radiology, University of Kentucky, 800 Rose St, HX-315B, Lexington, KY 40536 (S.H.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, Columbia University, New York, NY (J.L.); Department of Imaging Sciences, University of Rochester, Rochester, NY (K.K.J.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
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Mahmutovic Persson I, von Wachenfeldt K, Waterton JC, Olsson LE. Imaging Biomarkers in Animal Models of Drug-Induced Lung Injury: A Systematic Review. J Clin Med 2020; 10:jcm10010107. [PMID: 33396865 PMCID: PMC7795017 DOI: 10.3390/jcm10010107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 12/24/2020] [Indexed: 12/28/2022] Open
Abstract
For drug-induced interstitial lung disease (DIILD) translational imaging biomarkers are needed to improve detection and management of lung injury and drug-toxicity. Literature was reviewed on animal models in which in vivo imaging was used to detect and assess lung lesions that resembled pathological changes found in DIILD, such as inflammation and fibrosis. A systematic search was carried out using three databases with key words “Animal models”, “Imaging”, “Lung disease”, and “Drugs”. A total of 5749 articles were found, and, based on inclusion criteria, 284 papers were selected for final data extraction, resulting in 182 out of the 284 papers, based on eligibility. Twelve different animal species occurred and nine various imaging modalities were used, with two-thirds of the studies being longitudinal. The inducing agents and exposure (dose and duration) differed from non-physiological to clinically relevant doses. The majority of studies reported other biomarkers and/or histological confirmation of the imaging results. Summary of radiotracers and examples of imaging biomarkers were summarized, and the types of animal models and the most used imaging modalities and applications are discussed in this review. Pathologies resembling DIILD, such as inflammation and fibrosis, were described in many papers, but only a few explicitly addressed drug-induced toxicity experiments.
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Affiliation(s)
- Irma Mahmutovic Persson
- Department of Translational Medicine, Medical Radiation Physics, Lund University, 20502 Malmö, Sweden;
- Correspondence: ; Tel.: +46-736839562
| | | | - John C. Waterton
- Bioxydyn Ltd., Science Park, Manchester M15 6SZ, UK;
- Manchester Academic Health Sciences Centre, University of Manchester, Manchester M13 9PL, UK
| | - Lars E. Olsson
- Department of Translational Medicine, Medical Radiation Physics, Lund University, 20502 Malmö, Sweden;
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Amzajerdian F, Ruppert K, Hamedani H, Baron R, Xin Y, Loza L, Achekzai T, Duncan IF, Qian Y, Pourfathi M, Kadlecek S, Rizi RR. Measuring pulmonary gas exchange using compartment-selective xenon-polarization transfer contrast (XTC) MRI. Magn Reson Med 2020; 85:2709-2722. [PMID: 33283943 DOI: 10.1002/mrm.28626] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/06/2020] [Accepted: 11/09/2020] [Indexed: 12/22/2022]
Abstract
PURPOSE To demonstrate the feasibility of generating red blood cell (RBC) and tissue/plasma (TP)-specific gas-phase (GP) depolarization maps using xenon-polarization transfer contrast (XTC) MR imaging. METHODS Imaging was performed in three healthy subjects, an asymptomatic smoker, and a chronic obstructive pulmonary disease (COPD) patient. Single-breath XTC data were acquired through a series of three GP images using a 2D multi-slice GRE during a 12 s breath-hold. A series of 8 ms Gaussian inversion pulses spaced 30 ms apart were applied in-between the images to quantify the exchange between the GP and dissolved-phase (DP) compartments. Inversion pulses were either centered on-resonance to generate contrast, or off-resonance to correct for other sources of signal loss. For an alternative scheme, inversions of both RBC and TP resonances were inserted in lieu of off-resonance pulses. Finally, this technique was extended to a multi-breath protocol consistent with tidal breathing, involving 30 consecutive acquisitions. RESULTS Inversion pulses shifted off-resonance by 20 ppm to mimic the distance between the RBC and TP resonances demonstrated selectivity, and initial GP depolarization maps illustrated stark magnitude and distribution differences between healthy and diseased subjects that were consistent with traditional approaches. CONCLUSION The proposed DP-compartment selective XTC MRI technique provides information on gas exchange between all three detectable states of xenon in the lungs and is sufficiently sensitive to indicate differences in lung function between the study subjects. Investigated extensions of this approach to imaging schemes that either minimize breath-hold duration or the overall number of breath-holds open avenues for future research to improve measurement accuracy and patient comfort.
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Affiliation(s)
- Faraz Amzajerdian
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kai Ruppert
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Hooman Hamedani
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ryan Baron
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yi Xin
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Luis Loza
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tahmina Achekzai
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ian F Duncan
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yiwen Qian
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mehrdad Pourfathi
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Stephen Kadlecek
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rahim R Rizi
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Campos-Pires R, Onggradito H, Ujvari E, Karimi S, Valeo F, Aldhoun J, Edge CJ, Franks NP, Dickinson R. Xenon treatment after severe traumatic brain injury improves locomotor outcome, reduces acute neuronal loss and enhances early beneficial neuroinflammation: a randomized, blinded, controlled animal study. Crit Care 2020; 24:667. [PMID: 33246487 PMCID: PMC7691958 DOI: 10.1186/s13054-020-03373-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 11/04/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) is a major cause of morbidity and mortality, but there are no clinically proven treatments that specifically target neuronal loss and secondary injury development following TBI. In this study, we evaluate the effect of xenon treatment on functional outcome, lesion volume, neuronal loss and neuroinflammation after severe TBI in rats. METHODS Young adult male Sprague Dawley rats were subjected to controlled cortical impact (CCI) brain trauma or sham surgery followed by treatment with either 50% xenon:25% oxygen balance nitrogen, or control gas 75% nitrogen:25% oxygen. Locomotor function was assessed using Catwalk-XT automated gait analysis at baseline and 24 h after injury. Histological outcomes were assessed following perfusion fixation at 15 min or 24 h after injury or sham procedure. RESULTS Xenon treatment reduced lesion volume, reduced early locomotor deficits, and attenuated neuronal loss in clinically relevant cortical and subcortical areas. Xenon treatment resulted in significant increases in Iba1-positive microglia and GFAP-positive reactive astrocytes that was associated with neuronal preservation. CONCLUSIONS Our findings demonstrate that xenon improves functional outcome and reduces neuronal loss after brain trauma in rats. Neuronal preservation was associated with a xenon-induced enhancement of microglial cell numbers and astrocyte activation, consistent with a role for early beneficial neuroinflammation in xenon's neuroprotective effect. These findings suggest that xenon may be a first-line clinical treatment for brain trauma.
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Affiliation(s)
- Rita Campos-Pires
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
- Royal British Legion Centre for Blast Injury Studies, Department of Bioengineering, Imperial College London, Bessemer Building, South Kensington, London, SW7 2AZ, UK
- Charing Cross Hospital Intensive Care Unit, Critical Care Directorate, Imperial College Healthcare NHS Trust, London, UK
| | - Haldis Onggradito
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Eszter Ujvari
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Shughoofa Karimi
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Flavia Valeo
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Jitka Aldhoun
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Christopher J Edge
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
- Department of Anaesthetics, Royal Berkshire Hospital NHS Foundation Trust, London Road, Reading, RG1 5AN, UK
| | - Nicholas P Franks
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK
| | - Robert Dickinson
- Anaesthetics, Pain Medicine and Intensive Care Section, Department of Surgery and Cancer, Imperial College London, Sir Ernst Chain Building, South Kensington, London, SW7 2AZ, UK.
- Royal British Legion Centre for Blast Injury Studies, Department of Bioengineering, Imperial College London, Bessemer Building, South Kensington, London, SW7 2AZ, UK.
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Tafti S, Garrison WJ, Mugler JP, Shim YM, Altes TA, Mata JF, de Lange EE, Cates GD, Ropp AM, Wang C, Miller GW. Emphysema Index Based on Hyperpolarized 3He or 129Xe Diffusion MRI: Performance and Comparison with Quantitative CT and Pulmonary Function Tests. Radiology 2020; 297:201-210. [PMID: 32779976 PMCID: PMC7526952 DOI: 10.1148/radiol.2020192804] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 05/31/2020] [Accepted: 06/12/2020] [Indexed: 12/19/2022]
Abstract
Background Apparent diffusion coefficient (ADC) maps of inhaled hyperpolarized gases have shown promise in the characterization of emphysema in patients with chronic obstructive pulmonary disease (COPD), yet an easily interpreted quantitative metric beyond mean and standard deviation has not been established. Purpose To introduce a quantitative framework with which to characterize emphysema burden based on hyperpolarized helium 3 (3He) and xenon 129 (129Xe) ADC maps and compare its diagnostic performance with CT-based emphysema metrics and pulmonary function tests (PFTs). Materials and Methods Twenty-seven patients with mild, moderate, or severe COPD and 13 age-matched healthy control subjects participated in this retrospective study. Participants underwent CT and multiple b value diffusion-weighted 3He and 129Xe MRI examinations and standard PFTs between August 2014 and November 2017. ADC-based emphysema index was computed separately for each gas and b value as the fraction of lung voxels with ADC values greater than in the healthy group 99th percentile. The resulting values were compared with quantitative CT results (relative lung area <-950 HU) as the reference standard. Diagnostic performance metrics included area under the receiver operating characteristic curve (AUC). Spearman rank correlations and Wilcoxon rank sum tests were performed between ADC-, CT-, and PFT-based metrics, and intraclass correlation was performed between repeated measurements. Results Thirty-six participants were evaluated (mean age, 60 years ± 6 [standard deviation]; 20 women). ADC-based emphysema index was highly repeatable (intraclass correlation coefficient > 0.99) and strongly correlated with quantitative CT (r = 0.86, P < .001 for 3He; r = 0.85, P < .001 for 129Xe) with high AUC (≥0.93; 95% confidence interval [CI]: 0.85, 1.00). ADC emphysema indices were also correlated with percentage of predicted diffusing capacity of lung for carbon monoxide (r = -0.81, P < .001 for 3He; r = -0.80, P < .001 for 129Xe) and percentage of predicted residual lung volume divided by total lung capacity (r = 0.65, P < .001 for 3He; r = 0.61, P < .001 for 129Xe). Conclusion Emphysema index based on hyperpolarized helium 3 or xenon 129 diffusion MRI provides a repeatable measure of emphysema burden, independent of gas or b value, with similar diagnostic performance as quantitative CT or pulmonary function metrics. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Schiebler and Fain in this issue.
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Affiliation(s)
- Sina Tafti
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - William J. Garrison
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - John P. Mugler
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Y. Michael Shim
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Talissa A. Altes
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Jaime F. Mata
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Eduard E. de Lange
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Gordon D. Cates
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Alan M. Ropp
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - Chengbo Wang
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
| | - G. Wilson Miller
- From the Departments of Physics (S.T., G.D.C.), Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (J.P.M., J.F.M., E.E.d.L., A.M.R., G.W.M.), and Medicine (Y.M.S.), University of Virginia, Box 801339, Charlottesville, VA 22908; Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.); and Department of Science and Engineering, University of Nottingham, Ningbo, China (C.W.)
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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: 0.4] [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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Voskrebenzev A, Vogel-Claussen J. Proton MRI of the Lung: How to Tame Scarce Protons and Fast Signal Decay. J Magn Reson Imaging 2020; 53:1344-1357. [PMID: 32166832 DOI: 10.1002/jmri.27122] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/20/2020] [Accepted: 02/20/2020] [Indexed: 12/19/2022] Open
Abstract
Pulmonary proton MRI techniques offer the unique possibility of assessing lung function and structure without the requirement for hyperpolarization or dedicated hardware, which is mandatory for multinuclear acquisition. Five popular approaches are presented and discussed in this review: 1) oxygen enhanced (OE)-MRI; 2) arterial spin labeling (ASL); 3) Fourier decomposition (FD) MRI and other related methods including self-gated noncontrast-enhanced functional lung (SENCEFUL) MR and phase-resolved functional lung (PREFUL) imaging; 4) dynamic contrast-enhanced (DCE) MRI; and 5) ultrashort TE (UTE) MRI. While DCE MRI is the most established and well-studied perfusion measurement, FD MRI offers a free-breathing test without any contrast agent and is predestined for application in patients with renal failure or with low compliance. Additionally, FD MRI and related methods like PREFUL and SENCEFUL can act as an ionizing radiation-free V/Q scan, since ventilation and perfusion information is acquired simultaneously during one scan. For OE-MRI, different concentrations of oxygen are applied via a facemask to assess the regional change in T1 , which is caused by the paramagnetic property of oxygen. Since this change is governed by a combination of ventilation, diffusion, and perfusion, a compound functional measurement can be achieved with OE-MRI. The known problem of fast T2 * decay of the lung parenchyma leading to a low signal-to-noise ratio is bypassed by the UTE acquisition strategy. Computed tomography (CT)-like images allow the assessment of lung structure with high spatial resolution without ionizing radiation. Despite these different branches of proton MRI, common trends are evident among pulmonary proton MRI: 1) free-breathing acquisition with self-gating; 2) application of UTE to preserve a stronger parenchymal signal; and 3) transition from 2D to 3D acquisition. On that note, there is a visible convergence of the different methods and it is not difficult to imagine that future methods will combine different aspects of the presented methods.
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Affiliation(s)
- Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
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Introduction to the Special Issue on Advances in Chest Imaging From the International Workshop for Pulmonary Functional Imaging (IWPFI): Context is Everything. J Thorac Imaging 2019; 34:73-74. [PMID: 30801448 DOI: 10.1097/rti.0000000000000386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Wang Z, Bier EA, Swaminathan A, Parikh K, Nouls J, He M, Mammarappallil JG, Luo S, Driehuys B, Rajagopal S. Diverse cardiopulmonary diseases are associated with distinct xenon magnetic resonance imaging signatures. Eur Respir J 2019; 54:13993003.00831-2019. [PMID: 31619473 DOI: 10.1183/13993003.00831-2019] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 09/12/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND As an increasing number of patients exhibit concomitant cardiac and pulmonary disease, limitations of standard diagnostic criteria are more frequently encountered. Here, we apply noninvasive 129Xe magnetic resonance imaging (MRI) and spectroscopy to identify patterns of regional gas transfer impairment and haemodynamics that are uniquely associated with chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), left heart failure (LHF) and pulmonary arterial hypertension (PAH). METHODS Healthy volunteers (n=23) and patients with COPD (n=8), IPF (n=12), LHF (n=6) and PAH (n=10) underwent 129Xe gas transfer imaging and dynamic spectroscopy. For each patient, three-dimensional maps were generated to depict ventilation, barrier uptake (129Xe dissolved in interstitial tissue) and red blood cell (RBC) transfer (129Xe dissolved in RBCs). Dynamic 129Xe spectroscopy was used to quantify cardiogenic oscillations in the RBC signal amplitude and frequency shift. RESULTS Compared with healthy volunteers, all patient groups exhibited decreased ventilation and RBC transfer (both p≤0.01). Patients with COPD demonstrated more ventilation and barrier defects compared with all other groups (both p≤0.02). In contrast, IPF patients demonstrated elevated barrier uptake compared with all other groups (p≤0.007), and increased RBC amplitude and shift oscillations compared with healthy volunteers (p=0.007 and p≤0.01, respectively). Patients with COPD and PAH both exhibited decreased RBC amplitude oscillations (p=0.02 and p=0.005, respectively) compared with healthy volunteers. LHF was distinguishable from PAH by enhanced RBC amplitude oscillations (p=0.01). CONCLUSION COPD, IPF, LHF and PAH each exhibit unique 129Xe MRI and dynamic spectroscopy signatures. These metrics may help with diagnostic challenges in cardiopulmonary disease and increase understanding of regional lung function and haemodynamics at the alveolar-capillary level.
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Affiliation(s)
- Ziyi Wang
- Dept of Biomedical Engineering, Duke University, Durham, NC, USA.,Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA.,These two authors are joint first authors
| | - Elianna A Bier
- Dept of Biomedical Engineering, Duke University, Durham, NC, USA.,Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA.,These two authors are joint first authors
| | - Aparna Swaminathan
- Division of Pulmonary, Allergy, and Critical Care, Dept of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Kishan Parikh
- Division of Pulmonary, Allergy, and Critical Care, Dept of Medicine, Duke University Medical Center, Durham, NC, USA
| | - John Nouls
- Dept of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Mu He
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA.,Dept of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | | | - Sheng Luo
- Dept of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Bastiaan Driehuys
- Dept of Biomedical Engineering, Duke University, Durham, NC, USA.,Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA.,Dept of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Sudarshan Rajagopal
- Division of Cardiology, Dept of Medicine, Duke University Medical Center, Durham, NC, USA
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Somogyi V, Chaudhuri N, Torrisi SE, Kahn N, Müller V, Kreuter M. The therapy of idiopathic pulmonary fibrosis: what is next? Eur Respir Rev 2019; 28:190021. [PMID: 31484664 PMCID: PMC9488691 DOI: 10.1183/16000617.0021-2019] [Citation(s) in RCA: 172] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/16/2019] [Indexed: 12/21/2022] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, fibrosing interstitial lung disease, characterised by progressive scarring of the lung and associated with a high burden of disease and early death. The pathophysiological understanding, clinical diagnostics and therapy of IPF have significantly evolved in recent years. While the recent introduction of the two antifibrotic drugs pirfenidone and nintedanib led to a significant reduction in lung function decline, there is still no cure for IPF; thus, new therapeutic approaches are needed. Currently, several clinical phase I-III trials are focusing on novel therapeutic targets. Furthermore, new approaches in nonpharmacological treatments in palliative care, pulmonary rehabilitation, lung transplantation, management of comorbidities and acute exacerbations aim to improve symptom control and quality of life. Here we summarise new therapeutic attempts and potential future approaches to treat this devastating disease.
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Affiliation(s)
- Vivien Somogyi
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Dept of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Nazia Chaudhuri
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, UK
| | - Sebastiano Emanuele Torrisi
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Regional Referral Centre for Rare Lung Diseases, University Hospital "Policlinico", Dept of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Nicolas Kahn
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
| | - Veronika Müller
- Dept of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Michael Kreuter
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
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Montesi SB, Caravan P. Novel Imaging Approaches in Systemic Sclerosis-Associated Interstitial Lung Disease. Curr Rheumatol Rep 2019; 21:25. [PMID: 31025121 DOI: 10.1007/s11926-019-0826-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF THE REVIEW Novel imaging approaches, such as quantitative computed tomography (CT), magnetic resonance imaging (MRI), and molecular imaging, are being applied to interstitial lung diseases to provide prognostic, functional, and molecular information. Here, we review such imaging approaches and their applicability to systemic sclerosis-associated interstitial lung disease (SSc-ILD). RECENT FINDINGS Quantitative CT can be used to quantify the radiographic response to SSc-ILD therapy. Due to advances in MRI sequence development, MRI can detect the presence of SSc-ILD with high accuracy. MRI can also be utilized to provide functional information as to SSc-ILD and paired with molecular probes to provide non-invasive molecular information. MRI and ultrasound have promising test characteristics for diagnosing ILD in SSc without the use of ionizing radiation. Novel imaging approaches can detect SSc-ILD without the use of ionizing radiation, provide non-invasive functional and molecular information, and quantify treatment response in SSc-ILD. These techniques hold promise for translation into clinical care and clinical trials.
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Affiliation(s)
- Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Massachusetts General Hospital, 55 Fruit Street, BUL-148, Boston, MA, 02114, USA.
| | - Peter Caravan
- A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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