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Rao Q, Li H, Zhou Q, Zhang M, Zhao X, Shi L, Xie J, Fan L, Han Y, Guo F, Liu S, Zhou X. Assessment of pulmonary physiological changes caused by aging, cigarette smoking, and COPD with hyperpolarized 129Xe magnetic resonance. Eur Radiol 2024; 34:7450-7459. [PMID: 38748243 DOI: 10.1007/s00330-024-10800-w] [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: 03/14/2024] [Revised: 03/14/2024] [Accepted: 04/05/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVE To comprehensively assess the impact of aging, cigarette smoking, and chronic obstructive pulmonary disease (COPD) on pulmonary physiology using 129Xe MR. METHODS A total of 90 subjects were categorized into four groups, including healthy young (HY, n = 20), age-matched control (AMC, n = 20), asymptomatic smokers (AS, n = 28), and COPD patients (n = 22). 129Xe MR was utilized to obtain pulmonary physiological parameters, including ventilation defect percent (VDP), alveolar sleeve depth (h), apparent diffusion coefficient (ADC), total septal wall thickness (d), and ratio of xenon signal from red blood cells and interstitial tissue/plasma (RBC/TP). RESULTS Significant differences were found in the measured VDP (p = 0.035), h (p = 0.003), and RBC/TP (p = 0.003) between the HY and AMC groups. Compared with the AMC group, higher VDP (p = 0.020) and d (p = 0.048) were found in the AS group; higher VDP (p < 0.001), d (p < 0.001) and ADC (p < 0.001), and lower h (p < 0.001) and RBC/TP (p < 0.001) were found in the COPD group. Moreover, significant differences were also found in the measured VDP (p < 0.001), h (p < 0.001), ADC (p < 0.001), d (p = 0.008), and RBC/TP (p = 0.032) between the AS and COPD groups. CONCLUSION Our findings indicate that pulmonary structure and functional changes caused by aging, cigarette smoking, and COPD are various, and show a progressive deterioration with the accumulation of these risk factors, including cigarette smoking and COPD. CLINICAL RELEVANCE STATEMENT Pathophysiological changes can be difficult to comprehensively understand due to limitations in common techniques and multifactorial etiologies. 129Xe MRI can demonstrate structural and functional changes caused by several common factors and can be used to better understand patients' underlying pathology. KEY POINTS Standard techniques for assessing pathophysiological lung function changes, spirometry, and chest CT come with limitations. 129Xe MR demonstrated progressive deterioration with accumulation of the investigated risk factors, without these limitations. 129Xe MR can assess lung changes related to these risk factors to stage and evaluate the etiology of the disease.
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Affiliation(s)
- 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, Huazhong University of Science and Technology, Wuhan, 430071, 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - 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, Huazhong University of Science and Technology, Wuhan, 430071, 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junshuai Xie
- 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Li Fan
- Department of Radiology, Changzheng Hospital of the Second Military Medical University, Shanghai, 200003, 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, Huazhong University of Science and Technology, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fumin Guo
- 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, Huazhong University of Science and Technology, Wuhan, 430071, China
| | - Shiyuan Liu
- Department of Radiology, Changzheng Hospital of the Second Military Medical University, Shanghai, 200003, 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, Huazhong University of Science and Technology, Wuhan, 430071, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
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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 DOI: 10.1016/j.rmed.2024.107827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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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Plummer JW, Hussain R, Bdaiwi AS, Soderlund SA, Hoyos X, Lanier JM, Garrison WJ, Parra-Robles J, Willmering MM, Niedbalski P, Cleveland ZI, Walkup L. A decay-modeled compressed sensing reconstruction approach for non-Cartesian hyperpolarized 129Xe MRI. Magn Reson Med 2024; 92:1363-1375. [PMID: 38860514 PMCID: PMC11262966 DOI: 10.1002/mrm.30188] [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: 02/14/2024] [Revised: 04/15/2024] [Accepted: 05/18/2024] [Indexed: 06/12/2024]
Abstract
PURPOSE Hyperpolarized 129Xe MRI benefits from non-Cartesian acquisitions that sample k-space efficiently and rapidly. However, their reconstructions are complex and burdened by decay processes unique to hyperpolarized gas. Currently used gridded reconstructions are prone to artifacts caused by magnetization decay and are ill-suited for undersampling. We present a compressed sensing (CS) reconstruction approach that incorporates magnetization decay in the forward model, thereby producing images with increased sharpness and contrast, even in undersampled data. METHODS Radio-frequency, T1, andT 2 * $$ {\mathrm{T}}_2^{\ast } $$ decay processes were incorporated into the forward model and solved using iterative methods including CS. The decay-modeled reconstruction was validated in simulations and then tested in 2D/3D-spiral ventilation and 3D-radial gas-exchange MRI. Quantitative metrics including apparent-SNR and sharpness were compared between gridded, CS, and twofold undersampled CS reconstructions. Observations were validated in gas-exchange data collected from 15 healthy and 25 post-hematopoietic-stem-cell-transplant participants. RESULTS CS reconstructions in simulations yielded images with threefold increases in accuracy. CS increased sharpness and contrast for ventilation in vivo imaging and showed greater accuracy for undersampled acquisitions. CS improved gas-exchange imaging, particularly in the dissolved-phase where apparent-SNR improved, and structure was made discernable. Finally, CS showed repeatability in important global gas-exchange metrics including median dissolved-gas signal ratio and median angle between real/imaginary components. CONCLUSION A non-Cartesian CS reconstruction approach that incorporates hyperpolarized 129Xe decay processes is presented. This approach enables improved image sharpness, contrast, and overall image quality in addition to up-to threefold undersampling. This contribution benefits all hyperpolarized gas MRI through improved accuracy and decreased scan durations.
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Affiliation(s)
- J. W. Plummer
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - R. Hussain
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - A. S. Bdaiwi
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - S. A. Soderlund
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - X. Hoyos
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - J. M. Lanier
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - W. J. Garrison
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - J. Parra-Robles
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - M. M. Willmering
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - P.J. Niedbalski
- Pulmonary, Critical Care and Sleep Medicine, Kansas University Medical Center, KS, United States
| | - Z. I. Cleveland
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
| | - L.L. Walkup
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
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4
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Collier GJ, Smith LJ, Saunders LC, Swift AJ, Marshall H, Stewart NJ, Norquay G, Hughes PJC, Thomspson AAR, Wild JM. Age, sex, and lung volume dependence of dissolved xenon-129 MRI gas exchange metrics. Magn Reson Med 2024; 92:1471-1483. [PMID: 38726472 DOI: 10.1002/mrm.30133] [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: 04/06/2024] [Accepted: 04/10/2024] [Indexed: 07/23/2024]
Abstract
PURPOSE To characterize the dependence of Xe-MRI gas transfer metrics upon age, sex, and lung volume in a group of healthy volunteers. METHODS Sixty-five subjects with no history of chronic lung disease were assessed with 129Xe-MRI using a four-echo 3D radial spectroscopic imaging sequence and a dose of xenon titrated according to subject height that was inhaled from a lung volume of functional residual capacity (FRC). Imaging was repeated in 34 subjects at total lung capacity (TLC). Regional maps of the fractions of dissolved xenon in red blood cells (RBC), membrane (M), and airspace (Gas) were acquired at an isotropic resolution of 2 cm, from which global averages of the ratios RBC:M, RBC:Gas, and M:Gas were computed. RESULTS Data from 26 males and 36 females with a median age of 43 y (range: 20-69 y) were of sufficient quality to analyze. Age (p = 0.0006) and sex (p < 0.0001) were significant predictors for RBC:M, and a linear regression showed higher values and steeper decline in males: RBC:M(Males) = -0.00362 × Age + 0.60 (p = 0.01, R2 = 0.25); RBC:M(Females) = -0.00170 × Age + 0.44 (p = 0.02, R2 = 0.15). Similarly, age and sex were significant predictors for RBC:Gas but not for M:Gas. RBC:M, M:Gas and RBC:Gas were significantly lower at TLC than at FRC (plus inhaled volume), with an average 9%, 30% and 35% decrease, respectively. CONCLUSION Expected age and sex dependence of pulmonary function concurs with 129Xe RBC:M imaging results, demonstrating that these variables must be considered when reporting Xe-MRI metrics. Xenon doses and breathing maneuvers should be controlled due to the strong dependence of Xe-MRI metrics upon lung volume.
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Affiliation(s)
- Guilhem J Collier
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Laurie J Smith
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Laura C Saunders
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Helen Marshall
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Neil J Stewart
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Graham Norquay
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Paul J C Hughes
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - A A Roger Thomspson
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Jim M Wild
- POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
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5
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Hall CS. Invisible Insights: Probing Lung Function with 129Xe MRI. Acad Radiol 2024; 31:4217-4220. [PMID: 39266445 DOI: 10.1016/j.acra.2024.08.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/14/2024]
Affiliation(s)
- Chase S Hall
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, USA.
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Diaz E, Sriram R, Gordon JW, Sinha A, Liu X, Sahin SI, Crane JC, Olson MP, Chen HY, Bernard JML, Vigneron DB, Wang ZJ, Xu D, Larson PEZ. Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:2627-2634. [PMID: 38710970 DOI: 10.1007/s10278-024-01100-2] [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: 01/05/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 05/08/2024]
Abstract
Hyperpolarized (HP) 13C MRI has shown promise as a valuable modality for in vivo measurements of metabolism and is currently in human trials at 15 research sites worldwide. With this growth, it is important to adopt standardized data storage practices as it will allow sites to meaningfully compare data. In this paper, we (1) describe data that we believe should be stored and (2) demonstrate pipelines and methods that utilize the Digital Imaging and Communications in Medicine (DICOM) standard. This includes proposing a set of minimum set of information that is specific to HP 13C MRI studies. We then show where the majority of these can be fit into existing DICOM attributes, primarily via the "Contrast/Bolus" module. We also demonstrate pipelines for utilizing DICOM for HP 13C MRI. DICOM is the most common standard for clinical medical image storage and provides the flexibility to accommodate the unique aspects of HP 13C MRI, including the HP agent information but also spectroscopic and metabolite dimensions. The pipelines shown include creating DICOM objects for studies on human and animal imaging systems with various pulse sequences. We also show a python-based method to efficiently modify DICOM objects to incorporate the unique HP 13C MRI information that is not captured by existing pipelines. Moreover, we propose best practices for HP 13C MRI data storage that will support future multi-site trials, research studies, and technical developments of this imaging technique.
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Affiliation(s)
- Ernesto Diaz
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Renuka Sriram
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Avantika Sinha
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Xiaoxi Liu
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Sule I Sahin
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
- UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA
| | - Jason C Crane
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Marram P Olson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Jenna M L Bernard
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
- UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA
| | - Zhen Jane Wang
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
- UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA.
- UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA.
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7
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Pilgrim-Morris JH, Collier GJ, Munro RS, Norquay G, Stewart NJ, Wild JM. Compressed sensing reconstruction for high-SNR, rapid dissolved 129Xe gas exchange MRI. Magn Reson Med 2024. [PMID: 39323101 DOI: 10.1002/mrm.30312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 08/21/2024] [Accepted: 09/05/2024] [Indexed: 09/27/2024]
Abstract
PURPOSE Three-dimensional hyperpolarized 129Xe gas exchange imaging suffers from low SNR and long breath-holds, which could be improved using compressed sensing (CS). The purpose of this work was to assess whether gas exchange ratio maps are quantitatively preserved in CS-accelerated dissolved-phase 129Xe imaging and to investigate the feasibility of CS-dissolved 129Xe imaging with reduced-cost natural abundance (NA) xenon. METHODS 129Xe gas exchange imaging was performed at 1.5 T with a multi-echo spectroscopic imaging sequence. A CS reconstruction with an acceleration factor of 2 was compared retrospectively with conventional gridding reconstruction in a cohort of 16 healthy volunteers, 5 chronic obstructive pulmonary disease patients, and 23 patients who were hospitalized following COVID-19 infection. Metrics of comparison included normalized mean absolute error, mean gas exchange ratio, and red blood cell (RBC) image SNR. Dissolved 129Xe CS imaging with NA xenon was assessed in 4 healthy volunteers. RESULTS CS reconstruction enabled acquisition time to be halved, and it reduced background noise. Median RBC SNR increased from 6 (2-18) to 11 (2-100) with CS, and there was strong agreement between CS and gridding mean ratio map values (R2 = 0.99). Image fidelity was maintained for gridding RBC SNR > 5, but below this, normalized mean absolute error increased nonlinearly with decreasing SNR. CS increased the mean SNR of NA 129Xe images 3-fold. CONCLUSION CS reconstruction of dissolved 129Xe imaging improved image quality with decreased scan time, while preserving key gas exchange metrics. This will benefit patients with breathlessness and/or low gas transfer and shows promise for NA-dissolved 129Xe imaging.
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Affiliation(s)
- Jemima H Pilgrim-Morris
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Guilhem J Collier
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Ryan S Munro
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Graham Norquay
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Neil J Stewart
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Jim M Wild
- POLARIS, Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
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8
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Walkup LL, Roach DJ, Plummer JW, Willmering MM, Zanette B, Santyr G, Fain SB, Rock MJ, Mata J, Froh D, Stanojevic S, Cleveland ZI, Ratjen F, Woods JC. Same-Day Repeatability and 28-Day Reproducibility of Xenon MRI Ventilation in Children With Cystic Fibrosis in a Multi-Site Trial. J Magn Reson Imaging 2024. [PMID: 39257323 DOI: 10.1002/jmri.29605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/27/2024] [Accepted: 08/27/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND MRI with xenon-129 gas (Xe MRI) can assess airflow obstruction and heterogeneity in lung diseases. Specifically, Xe MRI may represent a sensitive modality for future therapeutic trials of cystic fibrosis (CF) therapies. The reproducibility of Xe MRI has not yet been assessed in the context of a multi-site study. PURPOSE To determine the same-day repeatability and 28-day reproducibility of Xe MRI in children with CF. STUDY TYPE Four-center prospective, longitudinal. POPULATION Thirty-eight children (18 females, 47%), median interquartile range (IQR) age 12 (9-14) years old, with mild CF (forced expiratory volume in 1 second (FEV1) ≥85% predicted). FIELD STRENGTH/SEQUENCE 3-T, two-dimensional (2D) gradient-echo (GRE) sequence. ASSESSMENT Xe MRI, FEV1, and nitrogen multiple-breath wash-out for lung-clearance index (LCI2.5) were performed. To assess same-day reproducibility, Xe MRI was performed twice within the first visit, and procedures were repeated at 28 days. Xe hypoventilation was quantified using ventilation-defect percentage (VDP) and reader-defect volume (RDV). For VDP, hypoventilated voxels from segmented images were identified using a threshold of <60% mean whole-lung signal and expressed as a percentage of the lung volume. For RDV, hypoventilation was identified by two trained readers and expressed as a percentage. STATISTICAL TESTS Inter-site comparisons were conducted using Kruskal-Wallis nonparametric tests with Dunn's multiple-comparisons tests. Differences for individuals were assessed using Wilcoxon matched-pairs tests. Bland-Altman tests were used to evaluate same-day repeatability, 28-day reproducibility, and inter-reader agreement. A P-value ≤0.05 was considered significant. RESULTS Median FEV1 %-predicted was 96.8% (86%-106%), and median LCI2.5 was 6.6 (6.3-7.4). Xe MRI had high same-day reproducibility (mean VDP difference 0.12%, 95% limits of agreement [-3.2, 3.4]; mean RDV difference 0.42% [-2.5, 3.3]). At 28 days, 26/31 participants (84%) fell within the same-day 95% limits of agreement. DATA CONCLUSION Xe MRI may offer excellent same-day and short-term reproducibility. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Laura L Walkup
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
| | - David J Roach
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Joseph W Plummer
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
| | - Matthew M Willmering
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Brandon Zanette
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Giles Santyr
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Sean B Fain
- Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Michael J Rock
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Jaime Mata
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Deborah Froh
- Department of Pediatrics, University of Virginia, Charlottesville, Virginia, USA
| | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Zackary I Cleveland
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
| | - Felix Ratjen
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Jason C Woods
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
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9
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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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10
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Plummer JW, Hussain R, Bdaiwi AS, Costa ML, Willmering MM, Parra-Robles J, Cleveland ZI, Walkup L. Analytical corrections for B 1-inhomogeneity and signal decay in multi-slice 2D spiral hyperpolarized 129Xe MRI using keyhole reconstruction. Magn Reson Med 2024; 92:967-981. [PMID: 38297511 PMCID: PMC11209825 DOI: 10.1002/mrm.30028] [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: 10/25/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 02/02/2024]
Abstract
PURPOSE Hyperpolarized xenon MRI suffers from heterogeneous coil bias and magnetization decay that obscure pulmonary abnormalities. Non-physiological signal variability can be mitigated by measuring and mapping the nominal flip angle, and by rescaling the images to correct for signal bias and decay. While flip angle maps can be calculated from sequentially acquired images, scan time and breath-hold duration are doubled. Here, we exploit the low-frequency oversampling of 2D-spiral and keyhole reconstruction to measure flip angle maps from a single acquisition. METHODS Flip angle maps were calculated from two images generated from a single dataset using keyhole reconstructions and a Bloch-equation-based model suitable for hyperpolarized substances. Artifacts resulting from acquisition and reconstruction schemes (e.g., keyhole reconstruction radius, slice-selection profile, spiral-ordering, and oversampling) were assessed using point-spread functions. Simulated flip angle maps generated using keyhole reconstruction were compared against the paired-image approach using RMS error (RMSE). Finally, feasibility was demonstrated for in vivo xenon ventilation imaging. RESULTS Simulations demonstrated accurate flip angle maps and B1-inhomogeneity correction can be generated with only 1.25-fold central-oversampling and keyhole reconstruction radius = 5% (RMSE = 0.460°). These settings also generated accurate flip angle maps in a healthy control (RSME = 0.337°) and a person with cystic fibrosis (RMSE = 0.404°) in as little as 3.3 s. CONCLUSION Regional lung ventilation images with reduced impact of B1-inhomogeneity can be acquired rapidly by combining 2D-spiral acquisition, Bloch-equation-based modeling, and keyhole reconstruction. This approach will be especially useful for breath-hold studies where short scan durations are necessary, such as dynamic imaging and applications in children or people with severely compromised respiratory function.
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Affiliation(s)
- J. W. Plummer
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
| | - R. Hussain
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - A. S. Bdaiwi
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
| | - M. L. Costa
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
| | - M. M. Willmering
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - J. Parra-Robles
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Z. I. Cleveland
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Imaging Research Center, Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
| | - L.L. Walkup
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States
- Imaging Research Center, Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
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11
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Fang Y, Li H, Shen L, Zhang M, Luo M, Li H, Rao Q, Chen Q, Li Y, Li Z, Zhao X, Shi L, Zhou Q, Han Y, Guo F, Zhou X. Rapid pulmonary 129Xe ventilation MRI of discharged COVID-19 patients with zigzag sampling. Magn Reson Med 2024; 92:956-966. [PMID: 38770624 DOI: 10.1002/mrm.30120] [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: 12/12/2023] [Revised: 03/05/2024] [Accepted: 04/02/2024] [Indexed: 05/22/2024]
Abstract
PURPOSE To demonstrate the feasibility of zigzag sampling for 3D rapid hyperpolarized 129Xe ventilation MRI in human. METHODS Zigzag sampling in one direction was combined with gradient-recalled echo sequence (GRE-zigzag-Y) to acquire hyperpolarized 129Xe ventilation images. Image quality was compared with a balanced SSFP (bSSFP) sequence with the same spatial resolution for 12 healthy volunteers (HVs). For another 8 HVs and 9 discharged coronavirus disease 2019 subjects, isotropic resolution 129Xe ventilation images were acquired using zigzag sampling in two directions through GRE-zigzag-YZ. 129Xe ventilation defect percent (VDP) was quantified for GRE-zigzag-YZ and bSSFP acquisitions. Relationships and agreement between these VDP measurements were evaluated using Pearson correlation coefficient (r) and Bland-Altman analysis. RESULTS For 12 HVs, GRE-zigzag-Y and bSSFP required 2.2 s and 10.5 s, respectively, to acquire 129Xe images with a spatial resolution of 3.96 × 3.96 × 10.5 mm3. Structural similarity index, mean absolute error, and Dice similarity coefficient between the two sets of images and ventilated lung regions were 0.85 ± 0.03, 0.0015 ± 0.0001, and 0.91 ± 0.02, respectively. For another 8 HVs and 9 coronavirus disease 2019 subjects, 129Xe images with a nominal spatial resolution of 2.5 × 2.5 × 2.5 mm3 were acquired within 5.5 s per subject using GRE-zigzag-YZ. VDP provided by GRE-zigzag-YZ was strongly correlated (R2 = 0.93, p < 0.0001) with that generated by bSSFP with minimal biases (bias = -0.005%, 95% limit-of-agreement = [-0.414%, 0.424%]). CONCLUSION Zigzag sampling combined with GRE sequence provides a way for rapid 129Xe ventilation imaging.
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Affiliation(s)
- Yuan Fang
- School of Physics, Huazhong University of Science and Technology, Wuhan, China
- 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, Huazhong University of Science and Technology, Wuhan, 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, Huazhong University of Science and Technology, 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, Huazhong University of Science and Technology, 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ming Luo
- 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, Huazhong University of Science and Technology, 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, Huazhong University of Science and Technology, 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, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Chen
- 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yecheng 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zimeng Li
- School of Physics, Huazhong University of Science and Technology, Wuhan, China
- 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, Huazhong University of Science and Technology, Wuhan, 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, Huazhong University of Science and Technology, 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - 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, Huazhong University of Science and Technology, Wuhan, 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fumin Guo
- 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, Huazhong University of Science and Technology, Wuhan, 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, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Biomedical Engineering, Hainan University, Hainan, China
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12
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Klimeš F, Kern AL, Voskrebenzev A, Gutberlet M, Grimm R, Müller RA, Behrendt L, Kaireit TF, Glandorf J, Alsady TM, Wacker F, Hohlfeld JM, Vogel-Claussen J. Free-breathing 3D phase-resolved functional lung MRI vs breath-hold hyperpolarized 129Xe ventilation MRI in patients with chronic obstructive pulmonary disease and healthy volunteers. Eur Radiol 2024:10.1007/s00330-024-10893-3. [PMID: 39060494 DOI: 10.1007/s00330-024-10893-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/17/2024] [Accepted: 05/01/2024] [Indexed: 07/28/2024]
Abstract
OBJECTIVES 3D phase-resolved functional lung (PREFUL) MRI offers evaluation of pulmonary ventilation without inhalation of contrast agent. This study seeks to compare ventilation maps obtained from 3D PREFUL MRI with a direct ventilation measurement derived from 129Xe MRI in both patients with chronic obstructive pulmonary disease (COPD) and healthy volunteers. METHODS Thirty-one patients with COPD and 12 healthy controls underwent free-breathing 3D PREFUL MRI and breath-hold 129Xe MRI at 1.5 T. For both MRI techniques, ventilation defect (VD) maps were determined and respective ventilation defect percentage (VDP) values were computed. All parameters of both techniques were compared by Spearman correlation coefficient (r) and the differences between VDP values were quantified by Bland-Altman analysis and tested for significance using Wilcoxon signed-rank test. In a regional comparison of VD maps, spatial overlap and Sørensen-Dice coefficients of healthy and defect areas were computed. RESULTS On a global level, all 3D PREFUL VDP values correlated significantly to VDP measure derived by 129Xe ventilation imaging (all r > 0.65; all p < 0.0001). 129Xe VDP was significantly greater than 3D PREFUL derived VDPRVent (mean bias = 10.5%, p < 0.001) and VDPFVL-CM (mean bias = 11.3%, p < 0.0001) but not for VDPCombined (mean bias = 1.7%, p = 0.70). The total regional agreement of 129Xe and 3D PREFUL VD maps ranged between 60% and 63%. CONCLUSIONS Free-breathing 3D PREFUL MRI showed a strong correlation with breath-hold hyperpolarized 129Xe MRI regarding the VDP values and modest differences in the detection of VDs on a regional level. CLINICAL RELEVANCE STATEMENT 3D PREFUL MRI correlated with 129Xe MRI, unveiling regional differences in COPD defect identification. This proposes 3D PREFUL MRI as a ventilation mapping surrogate, eliminating the need for extra hardware or inhaled gases. KEY POINTS Current non-invasive evaluation techniques for lung diseases have drawbacks; 129Xe MRI is limited by cost and availability. 3D PREFUL MRI correlated with 129Xe MRI, with regional differences in identifying COPD defects. 3D PREFUL MRI can provide ventilation mapping without the need for additional hardware or inhaled gases.
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Affiliation(s)
- Filip Klimeš
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Agilo Luitger Kern
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Andreas Voskrebenzev
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Marcel Gutberlet
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany
| | - Robin Aaron Müller
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Lea Behrendt
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Till Frederik Kaireit
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Julian Glandorf
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Tawfik Moher Alsady
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Frank Wacker
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
| | - Jens M Hohlfeld
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
- Department of Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine, Hanover, Germany
- Department of Respiratory Medicine, Hannover Medical School, Hanover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany.
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany.
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13
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Tavakkoli M, Svenningsen S, Friedlander Y, Konyer NB, Nair P, Noseworthy MD. Sampling pattern discrepancy in the application of compressed sensing hyperpolarized xenon-129 lung MRI. NMR IN BIOMEDICINE 2024; 37:e5121. [PMID: 38423986 DOI: 10.1002/nbm.5121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 01/14/2024] [Accepted: 01/23/2024] [Indexed: 03/02/2024]
Abstract
Although hyperpolarized (HP) 129Xe ventilation MRI can be carried out within a breath hold, it is still challenging for many sick patients. Compressed sensing (CS) is a viable alternative to accelerate this approach. However, undersampled images with identical sampling ratios differ from one another. Twenty subjects (n = 10 healthy and n = 10 patients with asthma) were scanned using a GE MR750 3 T scanner, acquiring fully sampled 2D multi-slice HP 129Xe lung ventilation images (10 s breath hold, 128 × 80 (FE × PE-frequency encoding × phase encoding) and 16 slices). Using fully sampled data, 500 variable-density Cartesian random undersampling patterns were generated, each at eight different sampling ratios from 10% to 80%. The parallel imaging and compressed sensing (PICS) command from BART was employed to reconstruct undersampled data. The signal to noise ratio (SNR), structural similarity index measurement (SSIM) and sidelobe to peak ratio of each were subsequently compared. There was a high degree of variation in both SNR and SSIM results from each of the 500 masks of each sampling rate. As the undersampling increases, there is more variation in the quantifying metrics, for both healthy and asthmatic individuals. Our study shows that random undersampling poses a significant challenge when applied at sampling ratios less than 60%, despite fulfilling CS's incoherency criteria. Such low sampling ratios will result in a large variety of undersampling patterns. Therefore, skipped segments of k-space cannot be allowed to happen randomly at low sampling rates. By optimizing the sampling pattern, CS will reach its full potential and be able to be applied to a highly undersampled 129Xe lung dataset.
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Affiliation(s)
- Mitra Tavakkoli
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Sarah Svenningsen
- Firestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada
- School of Biomedical Engineering, McMaster University, 1280 Main St W, Hamilton, Ontario, Canada
| | - Yonni Friedlander
- Firestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Norman B Konyer
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Parameswaran Nair
- Firestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada
| | - Michael D Noseworthy
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
- School of Biomedical Engineering, McMaster University, 1280 Main St W, Hamilton, Ontario, Canada
- Department of Radiology, McMaster University, Hamilton, Ontario, Canada
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14
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Niedbalski PJ, Castro M. Using the full power of multiple hyperpolarized 129Xe contrasts to interrogate aging, smoking, and COPD. Eur Radiol 2024:10.1007/s00330-024-10822-4. [PMID: 38819516 DOI: 10.1007/s00330-024-10822-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/06/2024] [Accepted: 05/10/2024] [Indexed: 06/01/2024]
Affiliation(s)
- Peter J Niedbalski
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, USA
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15
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Gonsard A, Mekov E, Barron S, Castellana G, Khurtsidze E, Vontetsianos A, Pennati F, Sivapalan P, Latimer LE, Marillier M, Hui CY, Kaltsakas G, Kolekar S, Vagheggini G, Vicente C, Drummond D, Poberezhets V, Bayat S, Franssen FM, Vogiatzis I, Gille T. ERS International Congress 2023: highlights from the Respiratory Clinical Care and Physiology Assembly. ERJ Open Res 2024; 10:00178-2024. [PMID: 38770003 PMCID: PMC11103686 DOI: 10.1183/23120541.00178-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 05/22/2024] Open
Abstract
It is a challenge to keep abreast of all the clinical and scientific advances in the field of respiratory medicine. This article contains an overview of laboratory-based science, clinical trials and qualitative research that were presented during the 2023 European Respiratory Society International Congress within the sessions from the five groups of Assembly 1 (Respiratory Clinical Care and Physiology). Selected presentations are summarised from a wide range of topics: clinical problems, rehabilitation and chronic care, general practice and primary care, electronic/mobile health (e-health/m-health), clinical respiratory physiology, exercise and functional imaging.
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Affiliation(s)
- Apolline Gonsard
- Department of Paediatric Pulmonology and Allergology, University Hospital Necker-Enfants Malades, AP-HP and Université Paris Cité, Paris, France
- These authors have contributed equally to this work and share first authorship
| | - Evgeni Mekov
- Department of Pulmonary Diseases, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria
- These authors have contributed equally to this work and share first authorship
| | - Sarah Barron
- Tallaght University Hospital, Dublin, Ireland
- These authors have contributed equally to this work and share first authorship
| | - Giorgio Castellana
- Istituti Clinici Scientifici Maugeri SpA SB, IRCCS, Institute of Bari, Bari, Italy
- These authors have contributed equally to this work and share first authorship
| | - Elene Khurtsidze
- Alte University, Tbilisi, Georgia
- Clinical Department, Geo Hospitals, Tbilisi, Georgia
- These authors have contributed equally to this work and share first authorship
| | - Angelos Vontetsianos
- 1st Respiratory Medicine Department, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens Medical School, Athens, Greece
- These authors have contributed equally to this work and share first authorship
| | - Francesca Pennati
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
- These authors have contributed equally to this work and share first authorship
| | - Pradeesh Sivapalan
- Section of Respiratory Medicine, Department of Medicine, Herlev-Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- University of Copenhagen, Faculty of Health Sciences, Department of Clinical Medicine, Copenhagen, Denmark
- These authors have contributed equally to this work and share first authorship
| | - Lorna E. Latimer
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
- Institute for Lung Health, National Institute for Health Research Leicester Biomedical Research Centre – Respiratory, Glenfield Hospital, Leicester, UK
- These authors have contributed equally to this work and share first authorship
| | - Mathieu Marillier
- Université Grenoble Alpes, Inserm, Laboratoire HP2, Grenoble, France
- Laboratory of Clinical Exercise Physiology, Queen's University, Kingston, ON, Canada
- These authors have contributed equally to this work and share first authorship
| | - Chi-Yan Hui
- The University of Edinburgh, Allergy and Respiratory Research Group, Usher Institute, Edinburgh, UK
- These authors have contributed equally to this work and share first authorship
| | - Georgios Kaltsakas
- 1st Respiratory Medicine Department, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Lane Fox Respiratory Service, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre of Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Shailesh Kolekar
- University of Copenhagen, Faculty of Health Sciences, Department of Clinical Medicine, Copenhagen, Denmark
- Zealand University Hospital Roskilde, Department of Internal Medicine, Roskilde, Denmark
| | - Guido Vagheggini
- Azienda USL Toscana Nord Ovest, Department of Medical Specialties, Chronic Respiratory Failure Care Pathway, Volterra, Italy
- Fondazione Volterra Ricerche Onlus, Volterra, Italy
| | | | - David Drummond
- Department of Paediatric Pulmonology and Allergology, University Hospital Necker-Enfants Malades, AP-HP and Université Paris Cité, Paris, France
- Inserm UMR 1138, HeKA team, Centre de Recherche des Cordeliers, Paris, France
| | - Vitalii Poberezhets
- Department of Propedeutics of Internal Medicine, National Pirogov Memorial Medical University, Vinnytsya, Ukraine
| | - Sam Bayat
- CHU Grenoble Alpes, Service de Pneumologie et de Physiologie, Grenoble, France
- Université Grenoble Alpes, Inserm UA07 STROBE, Grenoble, France
| | - Frits M.E. Franssen
- Maastricht Universitair Medisch Centrum+, Department of Respiratory Medicine, Maastricht, The Netherlands
| | - Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle upon Tyne, UK
| | - Thomas Gille
- Physiologie et Explorations Fonctionnelles, DMU NARVAL, Hôpitaux Universitaires de Paris Seine-Saint-Denis, AP-HP, Bobigny, France
- Inserm UMR 1272 “Hypoxia & the Lung”, UFR SMBH Léonard de Vinci, Université Sorbonne Paris Nord, Bobigny, France
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Mummy D, Zhang S, Bechtel A, Lu J, Mammarappallil J, Leewiwatwong S, Costelle A, Swaminathan A, Driehuys B. Functional gas exchange measures on 129Xe MRI and spectroscopy are associated with age, sex, and BMI in healthy subjects. Front Med (Lausanne) 2024; 11:1342499. [PMID: 38651062 PMCID: PMC11033479 DOI: 10.3389/fmed.2024.1342499] [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: 11/21/2023] [Accepted: 03/27/2024] [Indexed: 04/25/2024] Open
Abstract
Introduction Hyperpolarized 129Xe MRI and spectroscopy is a rapidly growing technique for assessing lung function, with applications in a wide range of obstructive, restrictive, and pulmonary vascular disease. However, normal variations in 129Xe measures of gas exchange across healthy subjects are not well characterized, presenting an obstacle to differentiating disease processes from the consequences of expected physiological heterogeneity. Here, we use multivariate models to evaluate the role of age, sex, and BMI in a range of commonly used 129Xe measures of gas exchange. Materials and methods Healthy subjects (N = 40, 16F, age 44.3 ± 17.8 yrs., min-max 22-87 years) with no history of cardiopulmonary disease underwent 129Xe gas exchange MRI and spectroscopy. We used multivariate linear models to assess the associations of age, sex, and body mass index (BMI) with the RBC:Membrane (RBC:M), membrane to gas (Mem:Gas), and red blood cell to gas (RBC:Gas) ratios, as well as measurements of RBC oscillation amplitude and RBC chemical shift. Results Age, sex, and BMI were all significant covariates in the RBC:M model. Each additional 10 years of age was associated with a 0.05 decrease in RBC:M (p < 0.001), each additional 10 points of BMI was associated with a decrease of 0.07 (p = 0.02), and males were associated with a 0.17 higher RBC:M than females (p < 0.001). For Mem:Gas, male sex was associated with a decrease and BMI was associated with an increase. For RBC:Gas, age was associated with a decrease and male sex was associated with an increase. RBC oscillation amplitude increased with age and RBC chemical shift was not associated with any of the three covariates. Discussion 129Xe MRI and spectroscopy measurements in healthy subjects, particularly the widely used RBC:M measurement, exhibit heterogeneity associated in part with variations in subject age, sex, and BMI. Elucidating the contributions of these and other factors to 129Xe gas exchange measurements is a critical component for differentiating disease processes from expected variation in healthy subjects. Notably, the Mem:Gas and RBC chemical shift appear to be stable with aging, suggesting that unexplained deviations in these metrics may be signs of underlying abnormalities.
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Affiliation(s)
- David Mummy
- Department of Radiology, Duke University, Durham, NC, United States
| | - Shuo Zhang
- Department of Radiology, Duke University, Durham, NC, United States
| | - Aryil Bechtel
- Department of Radiology, Duke University, Durham, NC, United States
| | - Junlan Lu
- Medical Physics Graduate Program, Duke University, Durham, NC, United States
| | | | | | - Anna Costelle
- Medical Physics Graduate Program, Duke University, Durham, NC, United States
| | | | - Bastiaan Driehuys
- Department of Radiology, Duke University, Durham, NC, United States
- Medical Physics Graduate Program, Duke University, Durham, NC, United States
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
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Wild JM, Gleeson FV, Svenningsen S, Grist JT, Saunders LC, Collier GJ, Sharma M, Tcherner S, Mozaffaripour A, Matheson AM, Parraga G. Review of Hyperpolarized Pulmonary Functional 129 Xe MR for Long-COVID. J Magn Reson Imaging 2024; 59:1120-1134. [PMID: 37548112 DOI: 10.1002/jmri.28940] [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: 06/28/2023] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 08/08/2023] Open
Abstract
The respiratory consequences of acute COVID-19 infection and related symptoms tend to resolve 4 weeks post-infection. However, for some patients, new, recurrent, or persisting symptoms remain beyond the acute phase and persist for months, post-infection. The symptoms that remain have been referred to as long-COVID. A number of research sites employed 129 Xe magnetic resonance imaging (MRI) during the pandemic and evaluated patients post-infection, months after hospitalization or home-based care as a way to better understand the consequences of infection on 129 Xe MR gas-exchange and ventilation imaging. A systematic review and comprehensive search were employed using MEDLINE via PubMed (April 2023) using the National Library of Medicine's Medical Subject Headings and key words: post-COVID-19, MRI, 129 Xe, long-COVID, COVID pneumonia, and post-acute COVID-19 syndrome. Fifteen peer-reviewed manuscripts were identified including four editorials, a single letter to the editor, one review article, and nine original research manuscripts (2020-2023). MRI and MR spectroscopy results are summarized from these prospective, controlled studies, which involved small sample sizes ranging from 9 to 76 participants. Key findings included: 1) 129 Xe MRI gas-exchange and ventilation abnormalities, 3 months post-COVID-19 infection, and 2) a combination of MRI gas-exchange and ventilation abnormalities alongside persistent symptoms in patients hospitalized and not hospitalized for COVID-19, 1-year post-infection. The persistence of respiratory symptoms and 129 Xe MRI abnormalities in the context of normal or nearly normal pulmonary function test results and chest computed tomography (CT) was consistent. Longitudinal improvements were observed in long-term follow-up of long-COVID patients but mean 129 Xe gas-exchange, ventilation heterogeneity values and symptoms remained abnormal, 1-year post-infection. Pulmonary functional MRI using inhaled hyperpolarized 129 Xe gas has played a role in detecting gas-exchange and ventilation abnormalities providing complementary information that may help develop our understanding of the root causes of long-COVID. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Jim M Wild
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Fergus V Gleeson
- Department of Radiology, Oxford University Hospitals, Oxford, UK
| | - Sarah Svenningsen
- Department of Medicine, Firestone Institute for Respiratory Health, McMaster University, Hamilton, Ontario, Canada
| | - James T Grist
- Department of Radiology, Oxford University Hospitals, Oxford, UK
| | - Laura C Saunders
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Guilhem J Collier
- POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Maksym Sharma
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Sam Tcherner
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Ali Mozaffaripour
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Alexander M Matheson
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
- Division of Respirology, Department of Medicine, Western University, London, Ontario, Canada
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Lu J, Alenezi F, Bier E, Leewiwatwong S, Mummy D, Kabir S, Rajagopal S, Robertson S, Niedbalski PJ, Driehuys B. Optimized quantitative mapping of cardiopulmonary oscillations using hyperpolarized 129 Xe gas exchange MRI: Digital phantoms and clinical evaluation in CTEPH. Magn Reson Med 2024; 91:1541-1555. [PMID: 38084439 PMCID: PMC10872359 DOI: 10.1002/mrm.29965] [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: 06/14/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 02/03/2024]
Abstract
PURPOSE The interaction between 129 Xe atoms and pulmonary capillary red blood cells provides cardiogenic signal oscillations that display sensitivity to precapillary and postcapillary pulmonary hypertension. Recently, such oscillations have been spatially mapped, but little is known about optimal reconstruction or sensitivity to artifacts. In this study, we use digital phantom simulations to specifically optimize keyhole reconstruction for oscillation imaging. We then use this optimized method to re-establish healthy reference values and quantitatively evaluate microvascular flow changes in patients with chronic thromboembolic pulmonary hypertension (CTEPH) before and after pulmonary thromboendarterectomy (PTE). METHODS A six-zone digital lung phantom was designed to investigate the effects of radial views, key radius, and SNR. One-point Dixon 129 Xe gas exchange MRI images were acquired in a healthy cohort (n = 17) to generate a reference distribution and thresholds for mapping red blood cell oscillations. These thresholds were applied to 10 CTEPH participants, with 6 rescanned following PTE. RESULTS For undersampled acquisitions, a key radius of0.14 k max $$ 0.14{k}_{\mathrm{max}} $$ was found to optimally resolve oscillation defects while minimizing excessive heterogeneity. CTEPH participants at baseline showed higher oscillation defect + low (32 ± 14%) compared with healthy volunteers (18 ± 12%, p < 0.001). For those scanned both before and after PTE, oscillation defect + low decreased from 37 ± 13% to 23 ± 14% (p = 0.03). CONCLUSIONS Digital phantom simulations have informed an optimized keyhole reconstruction technique for gas exchange images acquired with standard 1-point Dixon parameters. Our proposed methodology enables more robust quantitative mapping of cardiogenic oscillations, potentially facilitating effective regional quantification of microvascular flow impairment in patients with pulmonary vascular diseases such as CTEPH.
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Affiliation(s)
- Junlan Lu
- Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA
| | - Fawaz Alenezi
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Elianna Bier
- Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | | | - David Mummy
- Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Sakib Kabir
- Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Sudarshan Rajagopal
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Scott Robertson
- Clinical Imaging Physics Group, Duke University Medical Center, Durham, North Carolina, USA
| | - Peter J. Niedbalski
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Bastiaan Driehuys
- Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA
- Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Radiology, Duke University Medical Center, Durham, North Carolina, USA
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Eddy RL, Mummy D, Zhang S, Dai H, Bechtel A, Schmidt A, Frizzell B, Gerayeli FV, Leipsic JA, Leung JM, Driehuys B, Que LG, Castro M, Sin DD, Niedbalski PJ. Cluster Analysis to Identify Long COVID Phenotypes Using 129Xe Magnetic Resonance Imaging: A Multi-centre Evaluation. Eur Respir J 2024; 63:2302301. [PMID: 38331459 PMCID: PMC10973687 DOI: 10.1183/13993003.02301-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/26/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND Long COVID impacts ∼10% of people diagnosed with COVID-19, yet the pathophysiology driving ongoing symptoms is poorly understood. We hypothesised that 129Xe magnetic resonance imaging (MRI) could identify unique pulmonary phenotypic subgroups of long COVID, therefore we evaluated ventilation and gas exchange measurements with cluster analysis to generate imaging-based phenotypes. METHODS COVID-negative controls and participants who previously tested positive for COVID-19 underwent 129XeMRI ∼14-months post-acute infection across three centres. Long COVID was defined as persistent dyspnea, chest tightness, cough, fatigue, nausea and/or loss of taste/smell at MRI; participants reporting no symptoms were considered fully-recovered. 129XeMRI ventilation defect percent (VDP) and membrane (Mem)/Gas, red blood cell (RBC)/Mem and RBC/Gas ratios were used in k-means clustering for long COVID, and measurements were compared using ANOVA with post-hoc Bonferroni correction. RESULTS We evaluated 135 participants across three centres: 28 COVID-negative (40±16yrs), 34 fully-recovered (42±14yrs) and 73 long COVID (49±13yrs). RBC/Mem (p=0.03) and FEV1 (p=0.04) were different between long- and COVID-negative; FEV1 and all other pulmonary function tests (PFTs) were within normal ranges. Four unique long COVID clusters were identified compared with recovered and COVID-negative. Cluster1 was the youngest with normal MRI and mild gas-trapping; Cluster2 was the oldest, characterised by reduced RBC/Mem but normal PFTs; Cluster3 had mildly increased Mem/Gas with normal PFTs; and Cluster4 had markedly increased Mem/Gas with concomitant reduction in RBC/Mem and restrictive PFT pattern. CONCLUSION We identified four 129XeMRI long COVID phenotypes with distinct characteristics. 129XeMRI can dissect pathophysiologic heterogeneity of long COVID to enable personalised patient care.
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Affiliation(s)
- Rachel L Eddy
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - David Mummy
- Department of Radiology, Duke University, Durham, NC, USA
| | - Shuo Zhang
- Department of Radiology, Duke University, Durham, NC, USA
| | - Haoran Dai
- Department of Medical Physics, Duke University, Durham, NC, USA
| | - Aryil Bechtel
- Department of Radiology, Duke University, Durham, NC, USA
| | - Alexandra Schmidt
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Bradie Frizzell
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Firoozeh V Gerayeli
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Jonathon A Leipsic
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Janice M Leung
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Bastiaan Driehuys
- Department of Radiology, Duke University, Durham, NC, USA
- Department of Medical Physics, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Loretta G Que
- Division of Pulmonary, Department of Medicine, Duke University, Durham, NC, USA
| | - Mario Castro
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Peter J Niedbalski
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
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Stewart NJ, Higano NS, Mukthapuram S, Willmering MM, Loew W, West M, Arnsperger A, Pratt R, Rao MR, Schulte RF, Wild JM, Woods JC. Initial feasibility and challenges of hyperpolarized 129 Xe MRI in neonates with bronchopulmonary dysplasia. Magn Reson Med 2023; 90:2420-2431. [PMID: 37526031 PMCID: PMC10629838 DOI: 10.1002/mrm.29808] [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: 03/14/2023] [Revised: 06/14/2023] [Accepted: 07/08/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE The underlying functional and microstructural lung disease in neonates who are born preterm (bronchopulmonary dysplasia, BPD) remains poorly characterized. Moreover, there is a lack of suitable techniques to reliably assess lung function in this population. Here, we report our preliminary experience with hyperpolarized 129 Xe MRI in neonates with BPD. METHODS Neonatal intensive care patients with established BPD were recruited (N = 9) and imaged at a corrected gestational age of median:40.7 (range:37.1, 44.4) wk using a 1.5T neonatal scanner. 2D 129 Xe ventilation and diffusion-weighted images and dissolved phase spectroscopy were acquired, alongside 1 H 3D radial UTE. 129 Xe images were acquired during a series of short apneic breath-holds (˜3 s). 1 H UTE images were acquired during tidal breathing. Ventilation defects were manually identified and qualitatively compared to lung structures on UTE. ADCs were calculated on a voxel-wise basis. The signal ratio of the 129 Xe red blood cell (RBC) and tissue membrane (M) resonances from spectroscopy was determined. RESULTS Spiral-based 129 Xe ventilation imaging showed good image quality and sufficient sensitivity to detect mild ventilation abnormalities in patients with BPD. 129 Xe ADC values were elevated above that expected given healthy data in older children and adults (median:0.046 [range:0.041, 0.064] cm2 s-1 ); the highest value obtained from an extremely pre-term patient. 129 Xe spectroscopy revealed a low RBC/M ratio (0.14 [0.06, 0.21]). CONCLUSION We have demonstrated initial feasibility of 129 Xe lung MRI in neonates. With further data, the technique may help guide management of infant lung diseases in the neonatal period and beyond.
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Affiliation(s)
- Neil J Stewart
- Center for Pulmonary Imaging Research, Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Nara S Higano
- Center for Pulmonary Imaging Research, Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Shanmukha Mukthapuram
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- The Perinatal Institute, Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Matthew M Willmering
- Center for Pulmonary Imaging Research, Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Wolfgang Loew
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Michael West
- Center for Pulmonary Imaging Research, Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Anita Arnsperger
- Division of Respiratory Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Ronald Pratt
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Madhwesha R Rao
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Jim M Wild
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Jason C Woods
- Center for Pulmonary Imaging Research, Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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McIntosh MJ, Biancaniello A, Kooner HK, Bhalla A, Serajeddini H, Yamashita C, Parraga G, Eddy RL. 129Xe MRI Ventilation Defects in Asthma: What is the Upper Limit of Normal and Minimal Clinically Important Difference? Acad Radiol 2023; 30:3114-3123. [PMID: 37032278 DOI: 10.1016/j.acra.2023.03.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 04/11/2023]
Abstract
RATIONALE AND OBJECTIVES The minimal clinically important difference (MCID) and upper limit of normal (ULN) for MRI ventilation defect percent (VDP) were previously reported for hyperpolarized 3He gas MRI. Hyperpolarized 129Xe VDP is more sensitive to airway dysfunction than 3He, therefore the objective of this study was to determine the ULN and MCID for 129Xe MRI VDP in healthy and asthma participants. MATERIALS AND METHODS We retrospectively evaluated healthy and asthma participants who underwent spirometry and 129XeMRI on a single visit; participants with asthma completed the asthma control questionnaire (ACQ-7). The MCID was estimated using distribution- (smallest detectable difference [SDD]) and anchor-based (ACQ-7) methods. Two observers measured VDP (semiautomated k-means-cluster segmentation algorithm) in 10 participants with asthma, five-times each in random order, to determine SDD. The ULN was estimated based on the 95% confidence interval of the relationships between VDP and age. RESULTS Mean VDP was 1.6 ± 1.2% for healthy (n = 27) and 13.7 ± 12.9% for asthma participants (n = 55). ACQ-7 and VDP were correlated (r = .37, p = .006; VDP = 3.5·ACQ + 4.9). The anchor-based MCID was 1.75% while the mean SDD and distribution-based MCID was 2.25%. VDP was correlated with age for healthy participants (p = .56, p =.003; VDP = .04·Age-.01). The ULN for all healthy participants was 2.0%. By age tertiles, the ULN was 1.3% ages 18-39 years, 2.5% for 40-59 years and 3.8% for 60-79 years. CONCLUSION The 129Xe MRI VDP MCID was estimated in participants with asthma; the ULN was estimated in healthy participants across a range of ages, both of which provide a way to interpret VDP measurements in clinical investigations.
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Affiliation(s)
- Marrissa J McIntosh
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Alexander Biancaniello
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Harkiran K Kooner
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Anurag Bhalla
- Division of Respirology, Department of Medicine, Western University, London, Canada
| | - Hana Serajeddini
- Robarts Research Institute, Western University, London, Canada; Division of Respirology, Department of Medicine, Western University, London, Canada
| | - Cory Yamashita
- Division of Respirology, Department of Medicine, Western University, London, Canada
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Division of Respirology, Department of Medicine, Western University, London, Canada.
| | - Rachel L Eddy
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, Canada
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Leewiwatwong S, Lu J, Dummer I, Yarnall K, Mummy D, Wang Z, Driehuys B. Combining neural networks and image synthesis to enable automatic thoracic cavity segmentation of hyperpolarized 129Xe MRI without proton scans. Magn Reson Imaging 2023; 103:145-155. [PMID: 37406744 PMCID: PMC10528669 DOI: 10.1016/j.mri.2023.07.001] [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: 05/01/2023] [Revised: 07/01/2023] [Accepted: 07/02/2023] [Indexed: 07/07/2023]
Abstract
RATIONALE AND OBJECTIVES Quantification of 129Xe MRI relies on accurate segmentation of the thoracic cavity, typically performed manually using a combination of 1H and 129Xe scans. This can be accelerated by using Convolutional Neural Networks (CNNs) that segment only the 129Xe scan. However, this task is complicated by peripheral ventilation defects, which requires training CNNs with large, diverse datasets. Here, we accelerate the creation of training data by synthesizing 129Xe images with a variety of defects. We use this to train a 3D model to provide thoracic cavity segmentation from 129Xe ventilation MRI alone. MATERIALS AND METHODS Training and testing data consisted of 22 and 33 3D 129Xe ventilation images. Training data were expanded to 484 using Template-based augmentation while an additional 298 images were synthesized using the Pix2Pix model. This data was used to train both a 2D U-net and 3D V-net-based segmentation model using a combination of Dice-Focal and Anatomical Constraint loss functions. Segmentation performance was compared using Dice coefficients calculated over the entire lung and within ventilation defects. RESULTS Performance of both U-net and 3D segmentation was improved by including synthetic training data. The 3D models performed significantly better than U-net, and the 3D model trained with synthetic 129Xe images exhibited the highest overall Dice score of 0.929. Moreover, addition of synthetic training data improved the Dice score in ventilation defect regions from 0.545 to 0.588 for U-net and 0.739 to 0.765 for the 3D model. CONCLUSION It is feasible to obtain high-quality segmentations from 129Xe scan alone using 3D models trained with additional synthetic images.
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Affiliation(s)
- Suphachart Leewiwatwong
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Junlan Lu
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Department of Medical Physics, Duke University, Durham, NC, USA
| | - Isabelle Dummer
- Department of Biomedical Engineering, McGill University, Montréal, QC, Canada
| | - Kevin Yarnall
- Department of Mechanical Engineering, Duke University, Durham, NC, USA
| | - David Mummy
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Department of Radiology, Duke University Medical Center, Durham, NC
| | - Ziyi Wang
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Bastiaan Driehuys
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Medical Physics, Duke University, Durham, NC, USA; Department of Radiology, Duke University Medical Center, Durham, NC,.
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23
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Bechtel A, Lu J, Mummy D, Bier E, Leewiwatwong S, Mugler J, Kabir S, Church A, Driehuys B. Establishing a hemoglobin adjustment for 129 Xe gas exchange MRI and MRS. Magn Reson Med 2023; 90:1555-1568. [PMID: 37246900 PMCID: PMC10524939 DOI: 10.1002/mrm.29712] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/10/2023] [Accepted: 05/02/2023] [Indexed: 05/30/2023]
Abstract
PURPOSE 129 Xe MRI and MRS signals from airspaces, membrane tissues (M), and red blood cells (RBCs) provide measurements of pulmonary gas exchange. However, 129 Xe MRI/MRS studies have yet to account for hemoglobin concentration (Hb), which is expected to affect the uptake of 129 Xe in the membrane and RBC compartments. We propose a framework to adjust the membrane and RBC signals for Hb and use this to assess sex-specific differences in RBC/M and establish a Hb-adjusted healthy reference range for the RBC/M ratio. METHODS We combined the 1D model of xenon gas exchange (MOXE) with the principle of TR-flip angle equivalence to establish scaling factors that normalize the dissolved-phase signals with respect to a standardH b 0 $$ H{b}^0 $$ (14 g/dL). 129 Xe MRI/MRS data from a healthy, young cohort (n = 18, age = 25.0± $$ \pm $$ 3.4 years) were used to validate this model and assess the impact of Hb adjustment on M/gas and RBC/gas images and RBC/M. RESULTS Adjusting for Hb caused RBC/M to change by up to 20% in healthy individuals with normal Hb and had marked impacts on M/gas and RBC/gas distributions in 3D gas-exchange maps. RBC/M was higher in males than females both before and after Hb adjustment (p < 0.001). After Hb adjustment, the healthy reference value for RBC/M for a consortium-recommended acquisition of TR = 15 ms and flip = 20° was 0.589± $$ \pm $$ 0.083 (mean± $$ \pm $$ SD). CONCLUSION MOXE provides a useful framework for evaluating the Hb dependence of the membrane and RBC signals. This work indicates that adjusting for Hb is essential for accurately assessing 129 Xe gas-exchange MRI/MRS metrics.
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Affiliation(s)
- Aryil Bechtel
- Radiology, Duke University Medical Center, Durham, North Carolina, United States
| | - Junlan Lu
- Medical Physics Graduate Program, Duke University, Durham, North Carolina
| | - David Mummy
- Radiology, Duke University Medical Center, Durham, North Carolina, United States
| | - Elianna Bier
- Biomedical Engineering, Duke University, Durham, North Carolina, United States
| | | | - John Mugler
- Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia
| | - Sakib Kabir
- Radiology, Duke University Medical Center, Durham, North Carolina, United States
| | - Alex Church
- Radiology, Duke University Medical Center, Durham, North Carolina, United States
| | - Bastiaan Driehuys
- Radiology, Duke University Medical Center, Durham, North Carolina, United States
- Medical Physics Graduate Program, Duke University, Durham, North Carolina
- Biomedical Engineering, Duke University, Durham, North Carolina, United States
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24
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Vaeggemose M, Schulte RF, Hansen ESS, Miller JJ, Rasmussen CW, Pilgrim-Morris JH, Stewart NJ, Collier GJ, Wild JM, Laustsen C. A Framework for Predicting X-Nuclei Transmitter Gain Using 1H Signal. Tomography 2023; 9:1603-1616. [PMID: 37736981 PMCID: PMC10514872 DOI: 10.3390/tomography9050128] [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: 06/23/2023] [Revised: 08/13/2023] [Accepted: 08/18/2023] [Indexed: 09/23/2023] Open
Abstract
Commercial human MR scanners are optimised for proton imaging, containing sophisticated prescan algorithms with setting parameters such as RF transmit gain and power. These are not optimal for X-nuclear application and are challenging to apply to hyperpolarised experiments, where the non-renewable magnetisation signal changes during the experiment. We hypothesised that, despite the complex and inherently nonlinear electrodynamic physics underlying coil loading and spatial variation, simple linear regression would be sufficient to accurately predict X-nuclear transmit gain based on concomitantly acquired data from the proton body coil. We collected data across 156 scan visits at two sites as part of ongoing studies investigating sodium, hyperpolarised carbon, and hyperpolarised xenon. We demonstrate that simple linear regression is able to accurately predict sodium, carbon, or xenon transmit gain as a function of position and proton gain, with variation that is less than the intrasubject variability. In conclusion, sites running multinuclear studies may be able to remove the time-consuming need to separately acquire X-nuclear reference power calibration, inferring it from the proton instead.
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Affiliation(s)
- Michael Vaeggemose
- GE HealthCare, 2605 Brondby, Denmark;
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | | | - Esben S. S. Hansen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Jack J. Miller
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Camilla W. Rasmussen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Jemima H. Pilgrim-Morris
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Neil J. Stewart
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Guilhem J. Collier
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Jim M. Wild
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Christoffer Laustsen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
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Niedbalski PJ, Willmering MM, Thomen RP, Mugler JP, Choi J, Hall C, Castro M. A single-breath-hold protocol for hyperpolarized 129 Xe ventilation and gas exchange imaging. NMR IN BIOMEDICINE 2023; 36:e4923. [PMID: 36914278 PMCID: PMC11077533 DOI: 10.1002/nbm.4923] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Hyperpolarized 129 Xe MRI (Xe-MRI) is increasingly used to image the structure and function of the lungs. Because 129 Xe imaging can provide multiple contrasts (ventilation, alveolar airspace size, and gas exchange), imaging often occurs over several breath-holds, which increases the time, expense, and patient burden of scans. We propose an imaging sequence that can be used to acquire Xe-MRI gas exchange and high-quality ventilation images within a single, approximately 10 s, breath-hold. This method uses a radial one-point Dixon approach to sample dissolved 129 Xe signal, which is interleaved with a 3D spiral ("FLORET") encoding pattern for gaseous 129 Xe. Thus, ventilation images are obtained at higher nominal spatial resolution (4.2 × 4.2 × 4.2 mm3 ) compared with gas-exchange images (6.25 × 6.25 × 6.25 mm3 ), both competitive with current standards within the Xe-MRI field. Moreover, the short 10 s Xe-MRI acquisition time allows for 1 H "anatomic" images used for thoracic cavity masking to be acquired within the same breath-hold for a total scan time of about 14 s. Images were acquired using this single-breath method in 11 volunteers (N = 4 healthy, N = 7 post-acute COVID). For 11 of these participants, a separate breath-hold was used to acquire a "dedicated" ventilation scan and five had an additional "dedicated" gas exchange scan. The images acquired using the single-breath protocol were compared with those from dedicated scans using Bland-Altman analysis, intraclass correlation (ICC), structural similarity, peak signal-to-noise ratio, Dice coefficients, and average distance. Imaging markers from the single-breath protocol showed high correlation with dedicated scans (ventilation defect percent, ICC = 0.77, p = 0.01; membrane/gas, ICC = 0.97, p = 0.001; red blood cell/gas, ICC = 0.99, p < 0.001). Images showed good qualitative and quantitative regional agreement. This single-breath protocol enables the collection of essential Xe-MRI information within one breath-hold, simplifying scanning sessions and reducing costs associated with Xe-MRI.
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Affiliation(s)
- Peter J. Niedbalski
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
- Department of Bioengineering, University of Kansas, Lawrence, KS, USA
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Matthew M. Willmering
- Center for Pulmonary Imaging Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Robert P. Thomen
- Departments of Radiology and Bioengineering, University of Missouri School of Medicine, Columbia, MO, USA
| | - John P. Mugler
- Department of Radiology & Medical Imaging, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jiwoong Choi
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
- Department of Bioengineering, University of Kansas, Lawrence, KS, USA
| | - Chase Hall
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
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26
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Mikowska L, Grynko V, Shepelytskyi Y, Ruset IC, Deschamps J, Aalto H, Targosz-Korecka M, Balamore D, Harańczyk H, Albert MS. Revealing a Third Dissolved-Phase Xenon-129 Resonance in Blood Caused by Hemoglobin Glycation. Int J Mol Sci 2023; 24:11311. [PMID: 37511071 PMCID: PMC10380088 DOI: 10.3390/ijms241411311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Hyperpolarized (HP) xenon-129 (129Xe), when dissolved in blood, has two NMR resonances: one in red blood cells (RBC) and one in plasma. The impact of numerous blood components on these resonances, however, has not yet been investigated. This study evaluates the effects of elevated glucose levels on the chemical shift (CS) and T2* relaxation times of HP 129Xe dissolved in sterile citrated sheep blood for the first time. HP 129Xe was mixed with sheep blood samples premixed with a stock glucose solution using a liquid-gas exchange module. Magnetic resonance spectroscopy was performed on a 3T clinical MRI scanner using a custom-built quadrature dual-tuned 129Xe/1H coil. We observed an additional resonance for the RBCs (129Xe-RBC1) for the increased glucose levels. The CS of 129Xe-RBC1 and 129Xe-plasma peaks did not change with glucose levels, while the CS of 129Xe-RBC2 (original RBC resonance) increased linearly at a rate of 0.015 ± 0.002 ppm/mM with glucose level. 129Xe-RBC1 T2* values increased nonlinearly from 1.58 ± 0.24 ms to 2.67 ± 0.40 ms. As a result of the increased glucose levels in blood samples, the novel additional HP 129Xe dissolved phase resonance was observed in blood and attributed to the 129Xe bound to glycated hemoglobin (HbA1c).
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Affiliation(s)
- Lutosława Mikowska
- Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, 30-348 Krakow, Poland
| | - Vira Grynko
- Chemistry and Material Science Program, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON P7B 7A5, Canada
| | - Yurii Shepelytskyi
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON P7B 7A5, Canada
- Chemistry Department, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
| | | | - Joseph Deschamps
- Applied Life Sciences Program, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
| | - Hannah Aalto
- Applied Life Sciences Program, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
| | - Marta Targosz-Korecka
- Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, 30-348 Krakow, Poland
| | - Dilip Balamore
- Department of Engineering, Physics and Technology, Nassau Community College, New York, NY 11530, USA
| | - Hubert Harańczyk
- Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, 30-348 Krakow, Poland
| | - Mitchell S Albert
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON P7B 7A5, Canada
- Chemistry Department, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
- Faculty of Medical Sciences, Northern Ontario School of Medicine University, Thunder Bay, ON P3E 2C6, Canada
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27
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Garrison WJ, Qing K, He M, Zhao L, Tustison NJ, Patrie JT, Mata JF, Shim YM, Ropp AM, Altes TA, Mugler JP, Miller GW. Lung Volume Dependence and Repeatability of Hyperpolarized 129Xe MRI Gas Uptake Metrics in Healthy Volunteers and Participants with COPD. Radiol Cardiothorac Imaging 2023; 5:e220096. [PMID: 37404786 PMCID: PMC10316289 DOI: 10.1148/ryct.220096] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 04/05/2023] [Accepted: 05/08/2023] [Indexed: 07/06/2023]
Abstract
Purpose To assess the effect of lung volume on measured values and repeatability of xenon 129 (129Xe) gas uptake metrics in healthy volunteers and participants with chronic obstructive pulmonary disease (COPD). Materials and Methods This Health Insurance Portability and Accountability Act-compliant prospective study included data (March 2014-December 2015) from 49 participants (19 with COPD [mean age, 67 years ± 9 (SD)]; nine women]; 25 older healthy volunteers [mean age, 59 years ± 10; 20 women]; and five young healthy women [mean age, 23 years ± 3]). Thirty-two participants underwent repeated 129Xe and same-breath-hold proton MRI at residual volume plus one-third forced vital capacity (RV+FVC/3), with 29 also undergoing one examination at total lung capacity (TLC). The remaining 17 participants underwent imaging at TLC, RV+FVC/3, and residual volume (RV). Signal ratios between membrane, red blood cell (RBC), and gas-phase compartments were calculated using hierarchical iterative decomposition of water and fat with echo asymmetry and least-squares estimation (ie, IDEAL). Repeatability was assessed using coefficient of variation and intraclass correlation coefficient, and volume relationships were assessed using Spearman correlation and Wilcoxon rank sum tests. Results Gas uptake metrics were repeatable at RV+FVC/3 (intraclass correlation coefficient = 0.88 for membrane/gas; 0.71 for RBC/gas, and 0.88 for RBC/membrane). Relative ratio changes were highly correlated with relative volume changes for membrane/gas (r = -0.97) and RBC/gas (r = -0.93). Membrane/gas and RBC/gas measured at RV+FVC/3 were significantly lower in the COPD group than the corresponding healthy group (P ≤ .001). However, these differences lessened upon correction for individual volume differences (P = .23 for membrane/gas; P = .09 for RBC/gas). Conclusion Dissolved-phase 129Xe MRI-derived gas uptake metrics were repeatable but highly dependent on lung volume during measurement.Keywords: Blood-Air Barrier, MRI, Chronic Obstructive Pulmonary Disease, Pulmonary Gas Exchange, Xenon Supplemental material is available for this article © RSNA, 2023.
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Affiliation(s)
- William J. Garrison
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Kun Qing
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Mu He
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Li Zhao
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Nicholas J. Tustison
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - James T. Patrie
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Jaime F. Mata
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Y. Michael Shim
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Alan M. Ropp
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - Talissa A. Altes
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - John P. Mugler
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
| | - G. Wilson Miller
- From the Departments of Biomedical Engineering (W.J.G., J.P.M.,
G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M.,
G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics
(G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339,
Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope
National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical
Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of
Radiology, University of Missouri, Columbia, Mo (T.A.A.)
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Marshall H, Voskrebenzev A, Smith LJ, Biancardi AM, Kern AL, Collier GJ, Wielopolski PA, Ciet P, Tiddens HAWM, Vogel‐Claussen J, Wild JM. 129 Xe and Free-Breathing 1 H Ventilation MRI in Patients With Cystic Fibrosis: A Dual-Center Study. J Magn Reson Imaging 2023; 57:1908-1921. [PMID: 36218321 PMCID: PMC10946578 DOI: 10.1002/jmri.28470] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Free-breathing 1 H ventilation MRI shows promise but only single-center validation has yet been performed against methods which directly image lung ventilation in patients with cystic fibrosis (CF). PURPOSE To investigate the relationship between 129 Xe and 1 H ventilation images using data acquired at two centers. STUDY TYPE Sequence comparison. POPULATION Center 1; 24 patients with CF (12 female) aged 9-47 years. Center 2; 7 patients with CF (6 female) aged 13-18 years, and 6 healthy controls (6 female) aged 21-31 years. Data were acquired in different patients at each center. FIELD STRENGTH/SEQUENCE 1.5 T, 3D steady-state free precession and 2D spoiled gradient echo. ASSESSMENT Subjects were scanned with 129 Xe ventilation and 1 H free-breathing MRI and performed pulmonary function tests. Ventilation defect percent (VDP) was calculated using linear binning and images were visually assessed by H.M., L.J.S., and G.J.C. (10, 5, and 8 years' experience). STATISTICAL TESTS Correlations and linear regression analyses were performed between 129 Xe VDP, 1 H VDP, FEV1 , and LCI. Bland-Altman analysis of 129 Xe VDP and 1 H VDP was carried out. Differences in metrics were assessed using one-way ANOVA or Kruskal-Wallis tests. RESULTS 129 Xe VDP and 1 H VDP correlated strongly with; each other (r = 0.84), FEV1 z-score (129 Xe VDP r = -0.83, 1 H VDP r = -0.80), and LCI (129 Xe VDP r = 0.91, 1 H VDP r = 0.82). Bland-Altman analysis of 129 Xe VDP and 1 H VDP from both centers had a bias of 0.07% and limits of agreement of -16.1% and 16.2%. Linear regression relationships of VDP with FEV1 were not significantly different between 129 Xe and 1 H VDP (P = 0.08), while 129 Xe VDP had a stronger relationship with LCI than 1 H VDP. DATA CONCLUSION 1 H ventilation MRI shows large-scale agreement with 129 Xe ventilation MRI in CF patients with established lung disease but may be less sensitive to subtle ventilation changes in patients with early-stage lung disease. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Helen Marshall
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional RadiologyHannover Medical SchoolHannoverGermany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)German Center for Lung Research (DZL)HannoverGermany
| | - Laurie J. Smith
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
| | - Alberto M. Biancardi
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
| | - Agilo L. Kern
- Institute for Diagnostic and Interventional RadiologyHannover Medical SchoolHannoverGermany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)German Center for Lung Research (DZL)HannoverGermany
| | - Guilhem J. Collier
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
| | | | - Pierluigi Ciet
- Department of Radiology and Nuclear medicineErasmus MCRotterdamThe Netherlands
- Department of Pediatric Pulmonology and AllergologySophia Children's Hospital, Erasmus MCRotterdamThe Netherlands
| | - Harm A. W. M. Tiddens
- Department of Radiology and Nuclear medicineErasmus MCRotterdamThe Netherlands
- Department of Pediatric Pulmonology and AllergologySophia Children's Hospital, Erasmus MCRotterdamThe Netherlands
| | - Jens Vogel‐Claussen
- Institute for Diagnostic and Interventional RadiologyHannover Medical SchoolHannoverGermany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)German Center for Lung Research (DZL)HannoverGermany
| | - Jim M. Wild
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
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Radadia N, Friedlander Y, Priel E, Konyer NB, Huang C, Jamal M, Farncombe T, Marriott C, Finley C, Agzarian J, Dolovich M, Noseworthy MD, Nair P, Shargall Y, Svenningsen S. Comparison of ventilation defects quantified by Technegas SPECT and hyperpolarized 129Xe MRI. Front Physiol 2023; 14:1133334. [PMID: 37234422 PMCID: PMC10206636 DOI: 10.3389/fphys.2023.1133334] [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: 12/28/2022] [Accepted: 04/03/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction: The ideal contrast agents for ventilation SPECT and MRI are Technegas and 129Xe gas, respectively. Despite increasing interest in the clinical utility of ventilation imaging, these modalities have not been directly compared. Therefore, our objective was to compare the ventilation defect percent (VDP) assessed by Technegas SPECT and hyperpolarized 129Xe MRI in patients scheduled to undergo lung cancer resection with and without pre-existing obstructive lung disease. Methods: Forty-one adults scheduled to undergo lung cancer resection performed same-day Technegas SPECT, hyperpolarized 129Xe MRI, spirometry, and diffusing capacity of the lung for carbon monoxide (DLCO). Ventilation abnormalities were quantified as the VDP using two different methods: adaptive thresholding (VDPT) and k-means clustering (VDPK). Correlation and agreement between VDP quantified by Technegas SPECT and 129Xe MRI were determined by Spearman correlation and Bland-Altman analysis, respectively. Results: VDP measured by Technegas SPECT and 129Xe MRI were correlated (VDPT: r = 0.48, p = 0.001; VDPK: r = 0.63, p < 0.0001). A 2.0% and 1.6% bias towards higher Technegas SPECT VDP was measured using the adaptive threshold method (VDPT: 23.0% ± 14.0% vs. 21.0% ± 5.2%, p = 0.81) and k-means method (VDPK: 9.4% ± 9.4% vs. 7.8% ± 10.0%, p = 0.02), respectively. For both modalities, higher VDP was correlated with lower FEV1/FVC (SPECT VDPT: r = -0.38, p = 0.01; MRI VDPK: r = -0.46, p = 0.002) and DLCO (SPECT VDPT: r = -0.61, p < 0.0001; MRI VDPK: r = -0.68, p < 0.0001). Subgroup analysis revealed that VDP measured by both modalities was significantly higher for participants with COPD (n = 13) than those with asthma (n = 6; SPECT VDPT: p = 0.007, MRI VDPK: p = 0.006) and those with no history of obstructive lung disease (n = 21; SPECT VDPT: p = 0.0003, MRI VDPK: p = 0.0003). Discussion: The burden of ventilation defects quantified by Technegas SPECT and 129Xe MRI VDP was correlated and greater in participants with COPD when compared to those without. Our observations indicate that, despite substantial differences between the imaging modalities, quantitative assessment of ventilation defects by Technegas SPECT and 129Xe MRI is comparable.
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Affiliation(s)
- Nisarg Radadia
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Yonni Friedlander
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Eldar Priel
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Norman B. Konyer
- Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Chynna Huang
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Mobin Jamal
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Troy Farncombe
- Department of Radiology, McMaster University, Hamilton, ON, Canada
- Department of Nuclear Medicine, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Christopher Marriott
- Department of Radiology, McMaster University, Hamilton, ON, Canada
- Department of Nuclear Medicine, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Christian Finley
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - John Agzarian
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Myrna Dolovich
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Michael D. Noseworthy
- Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Department of Radiology, McMaster University, Hamilton, ON, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
| | - Parameswaran Nair
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
| | - Yaron Shargall
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Sarah Svenningsen
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada
- Firestone Institute for Respiratory Health, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
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Foo CT, Langton D, Thompson BR, Thien F. Functional lung imaging using novel and emerging MRI techniques. Front Med (Lausanne) 2023; 10:1060940. [PMID: 37181360 PMCID: PMC10166823 DOI: 10.3389/fmed.2023.1060940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Respiratory diseases are leading causes of death and disability in the world. While early diagnosis is key, this has proven difficult due to the lack of sensitive and non-invasive tools. Computed tomography is regarded as the gold standard for structural lung imaging but lacks functional information and involves significant radiation exposure. Lung magnetic resonance imaging (MRI) has historically been challenging due to its short T2 and low proton density. Hyperpolarised gas MRI is an emerging technique that is able to overcome these difficulties, permitting the functional and microstructural evaluation of the lung. Other novel imaging techniques such as fluorinated gas MRI, oxygen-enhanced MRI, Fourier decomposition MRI and phase-resolved functional lung imaging can also be used to interrogate lung function though they are currently at varying stages of development. This article provides a clinically focused review of these contrast and non-contrast MR imaging techniques and their current applications in lung disease.
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Affiliation(s)
- Chuan T. Foo
- Department of Respiratory Medicine, Eastern Health, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - David Langton
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- Department of Thoracic Medicine, Peninsula Health, Frankston, VIC, Australia
| | - Bruce R. Thompson
- Melbourne School of Health Science, Melbourne University, Melbourne, VIC, Australia
| | - Francis Thien
- Department of Respiratory Medicine, Eastern Health, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
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31
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Pompe E, Kwee AK, Tejwani V, Siddharthan T, Mohamed Hoesein FA. Imaging-derived biomarkers in Asthma: Current status and future perspectives. Respir Med 2023; 208:107130. [PMID: 36702169 DOI: 10.1016/j.rmed.2023.107130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/20/2023] [Accepted: 01/21/2023] [Indexed: 01/24/2023]
Abstract
Asthma is a common disorder affecting around 315 million individuals worldwide. The heterogeneity of asthma is becoming increasingly important in the era of personalized treatment and response assessment. Several radiological imaging modalities are available in asthma including chest x-ray, computed tomography (CT) and magnetic resonance imaging (MRI) scanning. In addition to qualitative imaging, quantitative imaging could play an important role in asthma imaging to identify phenotypes with distinct disease course and response to therapy, including biologics. MRI in asthma is mainly performed in research settings given cost, technical challenges, and there is a need for standardization. Imaging analysis applications of artificial intelligence (AI) to subclassify asthma using image analysis have demonstrated initial feasibility, though additional work is necessary to inform the role of AI in clinical practice.
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Affiliation(s)
- Esther Pompe
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Anastasia Kal Kwee
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | | | - Trishul Siddharthan
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Miami (TS), USA.
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32
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Plummer JW, Willmering MM, Cleveland ZI, Towe C, Woods JC, Walkup LL. Childhood to adulthood: Accounting for age dependence in healthy-reference distributions in 129 Xe gas-exchange MRI. Magn Reson Med 2023; 89:1117-1133. [PMID: 36372970 PMCID: PMC9792434 DOI: 10.1002/mrm.29501] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Xenon-129 (129 Xe) gas-exchange MRI is a pulmonary-imaging technique that provides quantitative metrics for lung structure and function and is often compared to pulmonary-function tests. Unlike such tests, it does not normalize to predictive values based on demographic variables such as age. Many sites have alluded to an age dependence in gas-exchange metrics; however, a procedure for normalizing metrics has not yet been introduced. THEORY We model healthy reference values for 129 Xe gas-exchange MRI against age using generalized additive models for location, scale, and shape (GAMLSS). GAMLSS takes signal data from an aggregated heathy-reference cohort and fits a distribution with flexible median, variation, skewness, and kurtosis to predict age-dependent centiles. This approach mirrors methods by the Global Lung Function Initiative for modeling pulmonary-function test data and applies it to binning methods widely used by the 129 Xe MRI community to interpret and quantify gas-exchange data. METHODS Ventilation, membrane-uptake, red blood cell transfer, and red blood cell:membrane gas-exchange metrics were collected on 30 healthy subjects over an age range of 5 to 68 years. A GAMLSS model was fit against age and compared against widely used linear and generalized-linear binning 129 Xe MRI analysis schemes. RESULTS All 4 gas-exchange metrics had significant skewness, and membrane-uptake had significant kurtosis compared to a normal distribution. Age has significant impact on distribution parameters. GAMLSS-binning produced narrower bins compared to the linear and generalized-linear binning schemes and distributed signal data closer to a normal distribution. CONCLUSION The proposed "proof-of-concept" GAMLSS-binning approach can improve diagnostic accuracy of 129 Xe gas-exchange MRI by providing a means of modeling voxel distribution data against age.
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Affiliation(s)
- Joseph W. Plummer
- Center for Pulmonary Imaging ResearchCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of Biomedical EngineeringUniversity of CincinnatiCincinnatiOhioUSA
| | - Matthew M. Willmering
- Center for Pulmonary Imaging ResearchCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Zackary I. Cleveland
- Center for Pulmonary Imaging ResearchCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of Biomedical EngineeringUniversity of CincinnatiCincinnatiOhioUSA
- Imaging Research Center, Department of RadiologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati Medical CenterCincinnatiOhioUSA
| | - Christopher Towe
- Department of PediatricsUniversity of Cincinnati Medical CenterCincinnatiOhioUSA
| | - Jason C. Woods
- Center for Pulmonary Imaging ResearchCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Imaging Research Center, Department of RadiologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati Medical CenterCincinnatiOhioUSA
- Department of PhysicsUniversity of CincinnatiCincinnatiOhioUSA
| | - Laura L. Walkup
- Center for Pulmonary Imaging ResearchCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of Biomedical EngineeringUniversity of CincinnatiCincinnatiOhioUSA
- Imaging Research Center, Department of RadiologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati Medical CenterCincinnatiOhioUSA
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33
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Zanette B, Munidasa S, Friedlander Y, Ratjen F, Santyr G. A 3D stack-of-spirals approach for rapid hyperpolarized 129 Xe ventilation mapping in pediatric cystic fibrosis lung disease. Magn Reson Med 2023; 89:1083-1091. [PMID: 36433705 DOI: 10.1002/mrm.29505] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/14/2022] [Accepted: 10/09/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE To demonstrate the feasibility of a rapid 3D stack-of-spirals (3D-SoS) imaging acquisition for hyperpolarized 129 Xe ventilation mapping in healthy pediatric participants and pediatric cystic fibrosis (CF) participants, in comparison to conventional Cartesian multislice (2D) gradient-recalled echo (GRE) imaging. METHODS The 2D-GRE and 3D-SoS acquisitions were performed in 13 pediatric participants (5 healthy, 8 CF) during separate breath-holds. Images from both sequences were compared on the basis of ventilation defect percent (VDP) and other measures of image similarity. The nadir of transient oxygen saturation (SpO2 ) decline due to xenon breath-holding was measured with pulse oximetry, and expressed as a percent change relative to baseline. RESULTS 129 Xe ventilation images were acquired in a breath-hold of 1.2-1.8 s with the 3D-SoS sequence, compared to 6.2-8.8 s for 2D-GRE. Mean ± SD VDP measures for 2D-GRE and 3D-SoS sequences were 5.02 ± 1.06% and 5.28 ± 1.08% in healthy participants, and 18.05 ± 8.26% and 18.75 ± 6.74% in CF participants, respectively. Across all participants, the intraclass correlation coefficient of VDP measures for both sequences was 0.98 (95% confidence interval: 0.94-0.99). The percent change in SpO2 was reduced to -2.1 ± 2.7% from -5.2 ± 3.5% with the shorter 3D-SoS breath-hold. CONCLUSION Hyperpolarized 129 Xe ventilation imaging with 3D-SoS yielded images approximately five times faster than conventional 2D-GRE, reducing SpO2 desaturation and improving tolerability of the xenon administration. Analysis of VDP and other measures of image similarity demonstrate excellent agreement between images obtained with both sequences. 3D-SoS holds significant potential for reducing the acquisition time of hyperpolarized 129 Xe MRI, and/or increasing spatial resolution while adhering to clinical breath-hold constraints.
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Affiliation(s)
- Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Samal Munidasa
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, 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
| | - Felix Ratjen
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, 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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Hudock MR, Pinezich MR, Mir M, Chen J, Bacchetta M, Vunjak-Novakovic G, Kim J. Emerging Imaging Modalities for Functional Assessment of Donor Lungs Ex Vivo. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2023; 25:100432. [PMID: 36778755 PMCID: PMC9913406 DOI: 10.1016/j.cobme.2022.100432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The severe shortage of functional donor lungs that can be offered to recipients has been a major challenge in lung transplantation. Innovative ex vivo lung perfusion (EVLP) and tissue engineering methodologies are now being developed to repair damaged donor lungs that are deemed unsuitable for transplantation. To assess the efficacy of donor lung reconditioning methods intended to rehabilitate rejected donor lungs, monitoring of lung function with improved spatiotemporal resolution is needed. Recent developments in live imaging are enabling non-destructive, direct, and longitudinal modalities for assessing local tissue and whole lung functions. In this review, we describe how emerging live imaging modalities can be coupled with lung tissue engineering approaches to promote functional recovery of ex vivo donor lungs.
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Affiliation(s)
- Maria R. Hudock
- Department of Biomedical Engineering, Columbia University,
New York, NY, USA
| | - Meghan R. Pinezich
- Department of Biomedical Engineering, Columbia University,
New York, NY, USA
| | - Mohammad Mir
- Department of Biomedical Engineering, Stevens Institute of
Technology, Hoboken, NJ, USA
| | - Jiawen Chen
- Department of Biomedical Engineering, Stevens Institute of
Technology, Hoboken, NJ, USA
| | - Matthew Bacchetta
- Department of Cardiac Surgery, Vanderbilt University,
Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt
University, Nashville, TN, USA
| | - Gordana Vunjak-Novakovic
- Department of Biomedical Engineering, Columbia University,
New York, NY, USA
- Department of Medicine, Columbia University, New York, NY,
USA
| | - Jinho Kim
- Department of Biomedical Engineering, Stevens Institute of
Technology, Hoboken, NJ, USA
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35
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Collier GJ, Schulte RF, Rao M, Norquay G, Ball J, Wild JM. Imaging gas-exchange lung function and brain tissue uptake of hyperpolarized 129 Xe using sampling density-weighted MRSI. Magn Reson Med 2023; 89:2217-2226. [PMID: 36744585 DOI: 10.1002/mrm.29602] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 02/07/2023]
Abstract
PURPOSE Imaging of the different resonances of hyperpolarized 129 Xe in the brain and lungs was performed using a 3D sampling density-weighted MRSI technique in healthy volunteers. METHODS Four volunteers underwent dissolved-phase hyperpolarized 129 Xe imaging in the lung with the MRSI technique, which was designed to improve the point-spread function while preserving SNR (1799 phase-encoding steps, 14-s breath hold, 2.1-cm isotropic resolution). A frequency-tailored RF excitation pulse was implemented to reliably excite both the 129 Xe gas and dissolved phase (tissue/blood signal) with 0.1° and 10° flip angles, respectively. Images of xenon gas in the lung airspaces and xenon dissolved in lung tissue/blood were used to generate quantitative signal ratio maps. The method was also optimized and used for imaging dissolved resonances of 129 Xe in the brain in 2 additional volunteers. RESULTS High-quality regional spectra of hyperpolarized 129 Xe were achieved in both the lung and the brain. Ratio maps of the different xenon resonances were obtained in the lung with sufficient SNR (> 10) at both 1.5 T and 3 T, making a triple Lorentzian fit possible and enabling the measurement of relaxation times and xenon frequency shifts on a voxel-wise basis. The imaging technique was successfully adapted for brain imaging, resulting in the first demonstration of 3D xenon brain images with a 2-cm isotropic resolution. CONCLUSION Density-weighted MRSI is an SNR and encoding-efficient way to image 129 Xe resonances in the lung and the brain, providing a valuable tool to quantify regional spectroscopic information.
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Affiliation(s)
- Guilhem J Collier
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,INSIGNEO institute, University of Sheffield, Sheffield, UK
| | | | - Madhwesha Rao
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Graham Norquay
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - James Ball
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Jim M Wild
- POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,INSIGNEO institute, University of Sheffield, Sheffield, UK
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36
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Zhou Q, Li H, Rao Q, Zhang M, Zhao X, Shen L, Fang Y, Li H, Liu X, Xiao S, Shi L, Han Y, Ye C, Zhou X. Assessment of pulmonary morphometry using hyperpolarized 129 Xe diffusion-weighted MRI with variable-sampling-ratio compressed sensing patterns. Med Phys 2023; 50:867-878. [PMID: 36196039 DOI: 10.1002/mp.16018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/26/2022] [Accepted: 09/24/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Hyperpolarized (HP) 129 Xe multiple b-values diffusion-weighted magnetic resonance imaging (DW-MRI) has been widely used for quantifying pulmonary microstructural morphometry. However, the technique requires long acquisition times, making it hard to apply in patients with severe pulmonary diseases, who cannot sustain long breath holds. PURPOSE To develop and evaluate the technique of variable-sampling-ratio compressed sensing (VCS) patterns for accelerating HP 129 Xe multiple b-values DW-MRI in humans. METHODS Optimal variable sampling ratios and corresponding k-space undersampling patterns for each b-value were obtained by retrospective simulations based on the fully sampled (FS) DW-MRI dataset acquired from six young healthy volunteers. Then, the FS datasets were retrospectively undersampled using both VCS patterns and conventional compressed sensing (CS) pattern with a similar average acceleration factor. The quality of reconstructed images with retrospective VCS (rVCS) and CS (rCS) datasets were quantified using mean absolute error (MAE) and structural similarity (SSIM). Pulmonary morphometric parameters were also evaluated between rVCS and FS datasets. In addition, prospective VCS multiple b-values 129 Xe DW-MRI datasets were acquired from 14 cigarette smokers and 13 age-matched healthy volunteers. The differences of lung morphological parameters obtained with the proposed method were compared between the groups using independent samples t-test. Pearson correlation coefficient was also utilized for evaluating the correlation of the pulmonary physiological parameters obtained with VCS DW-MRI and pulmonary function tests. RESULTS Lower MAE and higher SSIM values were found in the reconstructed images with rVCS measurement when compared to those using conventional rCS measurement. The details and quality of the images obtained with rVCS and FS measurements were found to be comparable. The mean values of the morphological parameters derived from rVCS and FS datasets showed no significant differences (p > 0.05), and the mean differences of measured acinar duct radius, mean linear intercept, surface-to-volume ratio, and apparent diffusion coefficient with cylinder model were -0.87%, -2.42%, 2.04%, and -0.50%, respectively. By using the VCS technique, significant differences were delineated between the pulmonary morphometric parameters of healthy volunteers and cigarette smokers (p < 0.001), while the acquisition time was reduced by four times. CONCLUSION A fourfold reduction in acquisition time was achieved using the proposed VCS method while preserving good image quality. Our preliminary results demonstrated that the proposed method can be used for evaluating pulmonary injuries caused by cigarette smoking and may prove to be helpful in diagnosing lung diseases in clinical practice.
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Affiliation(s)
- Qian Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Haidong Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qiuchen Rao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Ming Zhang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiuchao Zhao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Luyang Shen
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yuan Fang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Hongchuang Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoling Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Sa Xiao
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lei Shi
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yeqing Han
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chaohui Ye
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xin Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
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Hsia CCW, Bates JHT, Driehuys B, Fain SB, Goldin JG, Hoffman EA, Hogg JC, Levin DL, Lynch DA, Ochs M, Parraga G, Prisk GK, Smith BM, Tawhai M, Vidal Melo MF, Woods JC, Hopkins SR. Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report. Ann Am Thorac Soc 2023; 20:161-195. [PMID: 36723475 PMCID: PMC9989862 DOI: 10.1513/annalsats.202211-915st] [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] [Indexed: 02/02/2023] Open
Abstract
Multiple thoracic imaging modalities have been developed to link structure to function in the diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders three-dimensional maps of lung structures and may be combined with positron emission tomography (PET) to obtain dynamic physiological data. Magnetic resonance imaging (MRI) using ultrashort-echo time (UTE) sequences has improved signal detection from lung parenchyma; contrast agents are used to deduce airway function, ventilation-perfusion-diffusion, and mechanics. Proton MRI can measure regional ventilation-perfusion ratio. Quantitative imaging (QI)-derived endpoints have been developed to identify structure-function phenotypes, including air-blood-tissue volume partition, bronchovascular remodeling, emphysema, fibrosis, and textural patterns indicating architectural alteration. Coregistered landmarks on paired images obtained at different lung volumes are used to infer airway caliber, air trapping, gas and blood transport, compliance, and deformation. This document summarizes fundamental "good practice" stereological principles in QI study design and analysis; evaluates technical capabilities and limitations of common imaging modalities; and assesses major QI endpoints regarding underlying assumptions and limitations, ability to detect and stratify heterogeneous, overlapping pathophysiology, and monitor disease progression and therapeutic response, correlated with and complementary to, functional indices. The goal is to promote unbiased quantification and interpretation of in vivo imaging data, compare metrics obtained using different QI modalities to ensure accurate and reproducible metric derivation, and avoid misrepresentation of inferred physiological processes. The role of imaging-based computational modeling in advancing these goals is emphasized. Fundamental principles outlined herein are critical for all forms of QI irrespective of acquisition modality or disease entity.
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Schiebler ML, Tsuchiya N, Hahn A, Fain S, Denlinger L, Jarjour N, Hoffman EA. Imaging Regional Airway Involvement of Asthma: Heterogeneity in Ventilation, Mucus Plugs and Remodeling. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1426:163-184. [PMID: 37464121 DOI: 10.1007/978-3-031-32259-4_8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
The imaging of asthma using chest computed tomography (CT) is well-established (Jarjour et al., Am J Respir Crit Care Med 185(4):356-62, 2012; Castro et al., J Allergy Clin Immunol 128:467-78, 2011). Moreover, recent advances in functional imaging of the lungs with advanced computer analysis of both CT and magnetic resonance images (MRI) of the lungs have begun to play a role in quantifying regional obstruction. Specifically, quantitative measurements of the airways for bronchial wall thickening, luminal narrowing and distortion, the amount of mucus plugging, parenchymal density, and ventilation defects that could contribute to the patient's disease course are instructive for the entire care team. In this chapter, we will review common imaging methods and findings that relate to the heterogeneity of asthma. This information can help to guide treatment decisions. We will discuss mucous plugging, quantitative assessment of bronchial wall thickening, delta lumen phenomenon, parenchymal low-density lung on CT, and ventilation defect percentage on MRI as metrics for assessing regional ventilatory dysfunction.
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Affiliation(s)
- Mark L Schiebler
- Cardiothoracic imaging, Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Nanae Tsuchiya
- Department of Radiology, School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Andrew Hahn
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Sean Fain
- Department of Radiology, Biomedical Engineering, and Human Physiology, University of Iowa, Iowa City, IA, USA
| | - Loren Denlinger
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Nizar Jarjour
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Eric A Hoffman
- Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, IA, USA
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39
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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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40
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Willmering MM, Walkup LL, Niedbalski PJ, Wang H, Wang Z, Hysinger EB, Myers KC, Towe CT, Driehuys B, Cleveland ZI, Woods JC. Pediatric 129 Xe Gas-Transfer MRI-Feasibility and Applicability. J Magn Reson Imaging 2022; 56:1207-1219. [PMID: 35244302 PMCID: PMC9519191 DOI: 10.1002/jmri.28136] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND 129 Xe gas-transfer MRI provides regional measures of pulmonary gas exchange in adults and separates xenon in interstitial lung tissue/plasma (barrier) from xenon in red blood cells (RBCs). The technique has yet to be demonstrated in pediatric populations or conditions. PURPOSE/HYPOTHESIS To perform an exploratory analysis of 129 Xe gas-transfer MRI in children. STUDY TYPE Prospective. POPULATION Seventy-seven human volunteers (38 males, age = 17.7 ± 15.1 years, range 5-68 years, 16 healthy). Four pediatric disease cohorts. FIELD STRENGTH/SEQUENCE 3-T, three-dimensional-radial one-point Dixon Fast Field Echo (FFE) Ultrashort Echo Time (UTE). ASSESSMENT Breath hold compliance was assessed by quantitative signal-to-noise and dynamic metrics. Whole-lung means and standard deviations were extracted from gas-transfer maps. Gas-transfer metrics were investigated with respect to age and lung disease. Clinical pulmonary function tests were retrospectively acquired for reference lung disease severity. STATISTICAL TESTS Wilcoxon rank-sum tests to compare age and disease cohorts, Wilcoxon signed-rank tests to compare pre- and post-breath hold vitals, Pearson correlations between age and gas-transfer metrics, and limits of normal with a binomial exact test to compare fraction of subjects with abnormal gas-transfer. P ≤ 0.05 was considered significant. RESULTS Eighty percentage of pediatric subjects successfully completed 129 Xe gas-transfer MRI. Gas-transfer parameters differed between healthy children and adults, including ventilation (0.75 and 0.67) and RBC:barrier ratio (0.31 and 0.46) which also correlated with age (ρ = -0.76, 0.57, respectively). Bone marrow transplant subjects had impaired ventilation (90% of reference) and increased dissolved 129 Xe standard deviation (242%). Bronchopulmonary dysplasia subjects had decreased barrier-uptake (69%). Cystic fibrosis subjects had impaired ventilation (91%) and increased RBC-transfer (146%). Lastly, childhood interstitial lung disease subjects had increased ventilation heterogeneity (113%). Limits of normal provided detection of abnormalities in additional gas-transfer parameters. DATA CONCLUSION Pediatric 129 Xe gas-transfer MRI was adequately successful and gas-transfer metrics correlated with age. Exploratory analysis revealed abnormalities in a variety of pediatric obstructive and restrictive lung diseases. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Matthew M. Willmering
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Laura L. Walkup
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Peter J. Niedbalski
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Hui Wang
- MR Clinical Science, Philips, Cincinnati, Ohio, USA
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Ziyi Wang
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Erik B. Hysinger
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
| | - Kasiani C. Myers
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Christopher T. Towe
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
| | - Bastiaan Driehuys
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Zackary I. Cleveland
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jason C. Woods
- Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
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41
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Lu J, Wang Z, Bier E, Leewiwatwong S, Mummy D, Driehuys B. Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping. Magn Reson Med 2022; 88:802-816. [PMID: 35506520 PMCID: PMC9248357 DOI: 10.1002/mrm.29254] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/30/2022] [Accepted: 03/11/2022] [Indexed: 11/08/2022]
Abstract
PURPOSE To correct for RF inhomogeneity for in vivo 129 Xe ventilation MRI using flip-angle mapping enabled by randomized 3D radial acquisitions. To extend this RF-depolarization mapping approach to create a flip-angle map template applicable to arbitrary acquisition strategies, and to compare these approaches to conventional bias field correction. METHODS RF-depolarization mapping was evaluated first in digital simulations and then in 51 subjects who had undergone radial 129 Xe ventilation MRI in the supine position at 3T (views = 3600; samples/view = 128; TR/TE = 4.5/0.45 ms; flip angle = 1.5; FOV = 40 cm). The images were corrected using newly developed RF-depolarization and templated-based methods and the resulting quantitative ventilation metrics (mean, coefficient of variation, and gradient) were compared to those resulting from N4ITK correction. RESULTS RF-depolarization and template-based mapping methods yielded a pattern of RF-inhomogeneity consistent with the expected variation based on coil architecture. The resulting corrected images were visually similar, but meaningfully distinct from those generated using standard N4ITK correction. The N4ITK algorithm eliminated the physiologically expected anterior-posterior gradient (-0.04 ± 1.56%/cm, P < 0.001). These 2 newly introduced methods of RF-depolarization and template correction retained the physiologically expected anterior-posterior ventilation gradient in healthy subjects (2.77 ± 2.09%/cm and 2.01 ± 2.73%/cm, respectively). CONCLUSIONS Randomized 3D 129 Xe MRI ventilation acquisitions can inherently be corrected for bias field, and this technique can be extended to create flip angle templates capable of correcting images from a given coil regardless of acquisition strategy. These methods may be more favorable than the de facto standard N4ITK because they can remove undesirable heterogeneity caused by RF effects while retaining results from known physiology.
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Affiliation(s)
- Junlan Lu
- Medical Physics Graduate Program, Duke University, Durham, North Carolina USA
| | - Ziyi Wang
- Biomedical Engineering, Duke University, Durham, North Carolina USA
| | - Elianna Bier
- Biomedical Engineering, Duke University, Durham, North Carolina USA
| | | | - David Mummy
- Department of Radiology, Duke University Medical Center, Durham, North Carolina USA
| | - Bastiaan Driehuys
- Medical Physics Graduate Program, Duke University, Durham, North Carolina USA
- Biomedical Engineering, Duke University, Durham, North Carolina USA
- Department of Radiology, Duke University Medical Center, Durham, North Carolina USA
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42
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Bier EA, Alenezi F, Lu J, Wang Z, Mammarappallil JG, O'Sullivan-Murphy B, Erkanli A, Driehuys B, Rajagopal S. Noninvasive diagnosis of pulmonary hypertension with hyperpolarised 129Xe magnetic resonance imaging and spectroscopy. ERJ Open Res 2022; 8:00035-2022. [PMID: 35586448 PMCID: PMC9108963 DOI: 10.1183/23120541.00035-2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/10/2022] [Indexed: 11/23/2022] Open
Abstract
Background The diagnosis of pulmonary hypertension (PH) remains challenging. Pre- and post-capillary PH have different signatures on noninvasive 129Xe gas-exchange magnetic resonance imaging (MRI) and dynamic MR spectroscopy (MRS). We tested the accuracy of 129Xe MRI/MRS to diagnose PH status compared to right heart catheterisation (RHC). Methods 129Xe MRI/MRS from 93 subjects was used to develop a diagnostic algorithm, which was tested in 32 patients undergoing RHC on the same day (n=20) or within 5 months (42±40 days) (n=12). Three expert readers, blinded to RHC, used 129Xe MRI/MRS to classify subjects as pre-capillary PH, post-capillary PH, no PH and no interstitial lung disease (ILD), or ILD. Results For pre-capillary PH, 129Xe MRI/MRS diagnostic accuracy was 75% (95% CI 66–84) with a sensitivity of 67% (95% CI 54–79) and a specificity of 86% (95% CI 75–96); for post-capillary PH accuracy was 69% (95% CI 59–78) with sensitivity of 54% (95% CI 34–74) and specificity of 74% (95% CI 63–84). The model performed well in straightforward cases of pre-capillary PH but was less accurate in its diagnosis in the presence of mixed disease, particularly in the presence of ILD or combined post- and pre-capillary PH. Conclusion This study demonstrates the potential to develop 129Xe MRI/MRS into a modality with good accuracy in detecting pre- and post-capillary PH. Furthermore, the combination of 129Xe dynamic MRS and gas-exchange MRI uniquely provide concurrent, noninvasive assessment of both haemodynamics and gas-exchange impairment that may aid in the detection of PH. Diagnostic models using 129Xe MRI/MRS metrics can noninvasively detect pre-capillary PH, post-capillary PH and ILD. The combination of 129Xe MRI/MRS provides a comprehensive assessment of haemodynamics and gas-exchange impairment in individual patients.https://bit.ly/3tDJw5P
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Affiliation(s)
- Elianna A Bier
- Dept of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Fawaz Alenezi
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Junlan Lu
- Medical Physics Graduate Program, Duke University, Durham, NC, USA
| | - Ziyi Wang
- Dept of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | | | - Alaattin Erkanli
- Dept of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | | | - Sudarshan Rajagopal
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
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43
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Matheson AM, Cunningham RSP, Bier E, Lu J, Dreihuys B, Pickering JG, Diamantouros P, Islam A, Nicholson JM, Parraga G, Blissett S. Hyperpolarized 129Xe Pulmonary MRI and Asymptomatic Atrial Septal Defect. Chest 2022; 161:e199-e202. [PMID: 35396051 DOI: 10.1016/j.chest.2021.11.020] [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: 10/18/2021] [Revised: 11/16/2021] [Accepted: 11/20/2021] [Indexed: 12/31/2022] Open
Abstract
In an asymptomatic 19-year-old who regularly underwent cardiopulmonary fitness testing for national lifeguard-accreditation, 129Xe MRI unexpectedly revealed an abnormally augmented RBC signal and RBC-to-alveolar-capillary-tissue ratio with spatially homogeneous ventilation, tissue barrier, and RBC images. Pulmonary function was normal, but cardiopulmonary follow-up including transthoracic and transesophageal echocardiogram, heart catheterization, and contrast-enhanced cardiac CT imaging led to the diagnosis of a large (20 × 27 mm) secundum atrial septal defect (ASD) with a net right-to-left shunt (Qp:Qs = 0.5) and normal pulmonary pressures. This novel, unexpected case revealed that 129Xe RBC signal intensity likely reflected erythrocytosis, compensatory to the abnormal cardiovascular hemodynamics that resulted from a large congenital ASD. Unlike ASD cases that present with dyspnea and exercise limitation, this 129Xe MRI abnormality was detected in an asymptomatic teenager. This is the first report of asymptomatic adult congenital heart disease diagnosed subsequent to novel 129Xe MRI that led to early intervention, avoiding long-term complications of cyanosis, including ventricular fibrosis and thromboembolic and bleeding risks.
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Affiliation(s)
- Alexander M Matheson
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Robin S P Cunningham
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Elianna Bier
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
| | - Junlan Lu
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
| | - Bastiaan Dreihuys
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
| | - J Geoffrey Pickering
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Division of Cardiology, Department of Medicine, Western University, London, Canada
| | | | - Ali Islam
- Department of Medical Imaging, Western University, London, Canada
| | - J Michael Nicholson
- Division of Respirology, Department of Medicine, Western University, London, Canada
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Department of Medical Imaging, Western University, London, Canada; Division of Respirology, Department of Medicine, Western University, London, Canada.
| | - Sarah Blissett
- Division of Cardiology, Department of Medicine, Western University, London, Canada
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44
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Norquay G, Collier GJ, Rodgers OI, Gill AB, Screaton NJ, Wild J. Standalone portable xenon-129 hyperpolariser for multicentre clinical magnetic resonance imaging of the lungs. Br J Radiol 2022; 95:20210872. [PMID: 35100003 PMCID: PMC9153725 DOI: 10.1259/bjr.20210872] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Design and build a portable xenon-129 (129Xe) hyperpolariser for clinically accessible 129Xe lung MRI. METHODS The polariser system consists of six main functional components: (i) a laser diode array and optics; (ii) a B0 coil assembly; (iii) an oven containing an optical cell; (iv) NMR and optical spectrometers; (v) a gas-handling manifold; and (vi) a cryostat within a permanent magnet. All components run without external utilities such as compressed air or three-phase electricity, and require just three mains sockets for operation. The system can be manually transported in a lightweight van and rapidly installed on a small estates footprint in a hospital setting. RESULTS The polariser routinely provides polarised 129Xe for routine clinical lung MRI. To test the concept of portability and rapid deployment, it was transported 200 km, installed at a hospital with no previous experience with the technology and 129Xe MR images of a diagnostic quality were acquired the day after system transport and installation. CONCLUSION This portable 129Xe hyperpolariser system could form the basis of a cost-effective platform for wider clinical dissemination and multicentre evaluation of 129Xe lung MR imaging. ADVANCES IN KNOWLEDGE Our work successfully demonstrates the feasibility of multicentre clinical 129Xe MRI with a portable hyperpolariser system.
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Affiliation(s)
- Graham Norquay
- 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
| | - Oliver I Rodgers
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew B Gill
- Department of Radiology, Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | - Nicholas J Screaton
- Department of Radiology, Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | - Jim Wild
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
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Niedbalski PJ, Choi J, Hall CS, Castro M. Imaging in Asthma Management. Semin Respir Crit Care Med 2022; 43:613-626. [PMID: 35211923 DOI: 10.1055/s-0042-1743289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Asthma is a heterogeneous disease characterized by chronic airway inflammation that affects more than 300 million people worldwide. Clinically, asthma has a widely variable presentation and is defined based on a history of respiratory symptoms alongside airflow limitation. Imaging is not needed to confirm a diagnosis of asthma, and thus the use of imaging in asthma has historically been limited to excluding alternative diagnoses. However, significant advances continue to be made in novel imaging methodologies, which have been increasingly used to better understand respiratory impairment in asthma. As a disease primarily impacting the airways, asthma is best understood by imaging methods with the ability to elucidate airway impairment. Techniques such as computed tomography, magnetic resonance imaging with gaseous contrast agents, and positron emission tomography enable assessment of the small airways. Others, such as optical coherence tomography and endobronchial ultrasound enable high-resolution imaging of the large airways accessible to bronchoscopy. These imaging techniques are providing new insights in the pathophysiology and treatments of asthma and are poised to impact the clinical management of asthma.
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Affiliation(s)
- Peter J Niedbalski
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
| | - Jiwoong Choi
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
| | - Chase S Hall
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
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Kooner HK, McIntosh MJ, Desaigoudar V, Rayment JH, Eddy RL, Driehuys B, Parraga G. Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life. Respirology 2022; 27:114-133. [PMID: 35008127 PMCID: PMC10025897 DOI: 10.1111/resp.14197] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/09/2021] [Accepted: 12/12/2021] [Indexed: 12/21/2022]
Abstract
Pulmonary functional MRI (PfMRI) using inhaled hyperpolarized, radiation-free gases (such as 3 He and 129 Xe) provides a way to directly visualize inhaled gas distribution and ventilation defects (or ventilation heterogeneity) in real time with high spatial (~mm3 ) resolution. Both gases enable quantitative measurement of terminal airway morphology, while 129 Xe uniquely enables imaging the transfer of inhaled gas across the alveolar-capillary tissue barrier to the red blood cells. In patients with asthma, PfMRI abnormalities have been shown to reflect airway smooth muscle dysfunction, airway inflammation and remodelling, luminal occlusions and airway pruning. The method is rapid (8-15 s), cost-effective (~$300/scan) and very well tolerated in patients, even in those who are very young or very ill, because unlike computed tomography (CT), positron emission tomography and single-photon emission CT, there is no ionizing radiation and the examination takes only a few seconds. However, PfMRI is not without limitations, which include the requirement of complex image analysis, specialized equipment and additional training and quality control. We provide an overview of the three main applications of hyperpolarized noble gas MRI in asthma research including: (1) inhaled gas distribution or ventilation imaging, (2) alveolar microstructure and finally (3) gas transfer into the alveolar-capillary tissue space and from the tissue barrier into red blood cells in the pulmonary microvasculature. We highlight the evidence that supports a deeper understanding of the mechanisms of asthma worsening over time and the pathologies responsible for symptoms and disease control. We conclude with a summary of approaches that have the potential for integration into clinical workflows and that may be used to guide personalized treatment planning.
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Affiliation(s)
- Harkiran K Kooner
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Marrissa J McIntosh
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Vedanth Desaigoudar
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Jonathan H Rayment
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel L Eddy
- Centre of Heart Lung Innovation, Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Bastiaan Driehuys
- Center for In Vivo Microscopy, Duke University Medical Centre, Durham, North Carolina, USA
| | - Grace Parraga
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
- Division of Respirology, Department of Medicine, Western University, London, Ontario, Canada
- School of Biomedical Engineering, Western University, London, Ontario, Canada
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