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Neder JA, Santyr G, Zanette B, Kirby M, Pourafkari M, James MD, Vincent SG, Ferguson C, Wang CY, Domnik NJ, Phillips DB, Porszasz J, Stringer WW, O'Donnell DE. Beyond Spirometry: Linking Wasted Ventilation to Exertional Dyspnea in the Initial Stages of COPD. COPD 2024; 21:2301549. [PMID: 38348843 DOI: 10.1080/15412555.2023.2301549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 12/29/2023] [Indexed: 02/15/2024]
Abstract
Exertional dyspnea, a key complaint of patients with chronic obstructive pulmonary disease (COPD), ultimately reflects an increased inspiratory neural drive to breathe. In non-hypoxemic patients with largely preserved lung mechanics - as those in the initial stages of the disease - the heightened inspiratory neural drive is strongly associated with an exaggerated ventilatory response to metabolic demand. Several lines of evidence indicate that the so-called excess ventilation (high ventilation-CO2 output relationship) primarily reflects poor gas exchange efficiency, namely increased physiological dead space. Pulmonary function tests estimating the extension of the wasted ventilation and selected cardiopulmonary exercise testing variables can, therefore, shed unique light on the genesis of patients' out-of-proportion dyspnea. After a succinct overview of the basis of gas exchange efficiency in health and inefficiency in COPD, we discuss how wasted ventilation translates into exertional dyspnea in individual patients. We then outline what is currently known about the structural basis of wasted ventilation in "minor/trivial" COPD vis-à-vis the contribution of emphysema versus a potential impairment in lung perfusion across non-emphysematous lung. After summarizing some unanswered questions on the field, we propose that functional imaging be amalgamated with pulmonary function tests beyond spirometry to improve our understanding of this deeply neglected cause of exertional dyspnea. Advances in the field will depend on our ability to develop robust platforms for deeply phenotyping (structurally and functionally), the dyspneic patients showing unordinary high wasted ventilation despite relatively preserved FEV1.
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Affiliation(s)
- J Alberto Neder
- Respiratory Investigation Unit, Division of Respirology, Department of Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Canada
| | - Giles Santyr
- Translational Medicine Department, Faculty of Physiology and Experimental Medicine, Hospital for Sick Children, Toronto, Canada
| | - Brandon Zanette
- Translational Medicine Department, Faculty of Physiology and Experimental Medicine, Hospital for Sick Children, Toronto, Canada
| | - Miranda Kirby
- Department of Physics, Faculty of Science, Toronto Metropolitan University, Toronto, Canada
| | - Marina Pourafkari
- Department of Radiology and Diagnostic Imaging, Kingston Health Sciences Centre, Kingston, Canada
| | - Matthew D James
- Respiratory Investigation Unit, Division of Respirology, Department of Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Canada
| | - Sandra G Vincent
- Respiratory Investigation Unit, Division of Respirology, Department of Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Canada
| | - Carrie Ferguson
- The Lundquist Institute for Biomedical Innovation, Harbor U.C.L.A Medical Centre, Torrance, CA, USA
| | - Chu-Yi Wang
- The Lundquist Institute for Biomedical Innovation, Harbor U.C.L.A Medical Centre, Torrance, CA, USA
| | - Nicolle J Domnik
- Respiratory Investigation Unit, Division of Respirology, Department of Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Canada
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada
| | - Devin B Phillips
- School of Kinesiology and Health Science, York University, Toronto, Canada
| | - Janos Porszasz
- The Lundquist Institute for Biomedical Innovation, Harbor U.C.L.A Medical Centre, Torrance, CA, USA
| | - William W Stringer
- The Lundquist Institute for Biomedical Innovation, Harbor U.C.L.A Medical Centre, Torrance, CA, USA
| | - Denis E O'Donnell
- Respiratory Investigation Unit, Division of Respirology, Department of Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Canada
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Voskrebenzev A, Gutberlet M, Klimeš F, Kaireit TF, Shin HO, Kauczor HU, Welte T, Wacker F, Vogel-Claussen J. A synthetic lung model (ASYLUM) for validation of functional lung imaging methods shows significant differences between signal-based and deformation-field-based ventilation measurements. Front Med (Lausanne) 2024; 11:1418052. [PMID: 39296894 PMCID: PMC11409849 DOI: 10.3389/fmed.2024.1418052] [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: 04/15/2024] [Accepted: 07/30/2024] [Indexed: 09/21/2024] Open
Abstract
Introduction Validation of functional free-breathing MRI involves a comparison to more established or more direct measurements. This procedure is cost-intensive, as it requires access to patient cohorts, lengthy protocols, expenses for consumables, and binds working time. Therefore, the purpose of this study is to introduce a synthetic lung model (ASYLUM), which mimics dynamic MRI acquisition and includes predefined lung abnormalities for an alternative validation approach. The model is evaluated with different registration and quantification methods and compared with real data. Methods A combination of trigonometric functions, deformation fields, and signal combinations were used to create 20 synthetic image time series. Lung voxels were assigned either to normal or one of six abnormality classes. The images were registered with three registration algorithms. The registered images were further analyzed with three quantification methods: deformation-based or signal-based regional ventilation (JVent/RVent) analysis and perfusion amplitude (QA). The registration results were compared with predefined deformations. Quantification methods were evaluated regarding predefined amplitudes and with respect to sensitivity, specificity, and spatial overlap of defects. In addition, 36 patients with chronic obstructive pulmonary disease were included for verification of model interpretations using CT as the gold standard. Results One registration method showed considerably lower quality results (76% correlation vs. 92/97%, p ≤ 0.0001). Most ventilation defects were correctly detected with RVent and QA (e.g., one registration variant with sensitivity ≥78%, specificity ≥88). Contrary to this, JVent showed very low sensitivity for lower lung quadrants (0-16%) and also very low specificity (1-29%) for upper lung quadrants. Similar patterns of defect detection differences between RVent and JVent were also observable in patient data: Firstly, RVent was more aligned with CT than JVent for all quadrants (p ≤ 0.01) except for one registration variant in the lower left region. Secondly, stronger differences in overlap were observed for the upper quadrants, suggesting a defect bias in the JVent measurements in the upper lung regions. Conclusion The feasibility of a validation framework for free-breathing functional lung imaging using synthetic time series was demonstrated. Evaluating different ventilation measurements, important differences were detected in synthetic and real data, with signal-based regional ventilation assessment being a more reliable method in the investigated setting.
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Affiliation(s)
- Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Marcel Gutberlet
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Filip Klimeš
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Till F Kaireit
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Hoen-Oh Shin
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
| | - Tobias Welte
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
- Clinic of Pneumology, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
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Ouyang T, Tang Y, Zhang C, Yang Q. Phase-resolved MRI for measurement of pulmonary perfusion and ventilation defects in comparison with dynamic contrast-enhanced MRI and 129Xe MRI. BMJ Open Respir Res 2024; 11:e002198. [PMID: 39117397 DOI: 10.1136/bmjresp-2023-002198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 07/08/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION This meta-analysis aims to evaluate the agreement and correlation between phase-resolved functional lung MRI (PREFUL MRI) and dynamic contrast-enhanced (DCE) MRI in evaluating perfusion defect percentage (QDP), as well as the agreement between PREFUL MRI and 129Xe MRI in assessing ventilation defect percentage (VDP). METHOD A systematic search was conducted in the Medline, Embase and Cochrane Library databases to identify relevant studies comparing QDP and VDP measured by DCE MRI and 129Xe MRI compared with PREFUL MRI. Meta-analytical techniques were applied to calculate the pooled weighted bias, limits of agreement (LOA) and correlation coefficient. The publication bias was assessed using Egger's regression test, while heterogeneity was assessed using Cochran's Q test and Higgins I2 statistic. RESULTS A total of 399 subjects from 10 studies were enrolled. The mean difference and LOA were -2.31% (-8.01% to 3.40%) for QDP and 0.34% (-4.94% to 5.62%) for VDP. The pooled correlations (95% CI) were 0.65 (0.55 to 0.73) for QDP and 0.72 (0.61 to 0.80) for VDP. Furthermore, both QDP and VDP showed a negative correlation with forced expiratory volume in 1 s (FEV1). The pooled correlation between QDP and FEV1 was -0.51 (-0.74 to -0.18), as well as between VDP and FEV1 was -0.60 (-0.73 to -0.44). CONCLUSIONS PREFUL MRI is a promising imaging for the assessment of lung function, as it demonstrates satisfactory deviations and LOA when compared with DEC MRI and 129Xe MRI. PROSPERO REGISTRATION NUMBER CRD42023430847.
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Affiliation(s)
- Tao Ouyang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yichen Tang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Chen Zhang
- MR Research Collaboration, Siemens Healthineers, Beijing, China
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
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Higano NS. Editorial for "Assessment of Pulmonary Ventilation Using 3D Ventilation Flow-Weighted and Ventilation-Weighted Maps From 3D Ultrashort Echo-Time (UTE) MRI". J Magn Reson Imaging 2024; 60:495-496. [PMID: 38613343 DOI: 10.1002/jmri.29393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024] Open
Affiliation(s)
- Nara S Higano
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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Lee S, Lee HY, Park J, Kim H, Park JY. Assessment of Pulmonary Ventilation Using 3D Ventilation Flow Capacity-Weighted and Ventilation-Weighted Maps From 3D Ultrashort Echo Time (UTE) MRI. J Magn Reson Imaging 2024; 60:483-494. [PMID: 37970646 DOI: 10.1002/jmri.29129] [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: 08/08/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Three-dimensional (3D) ventilation flow capacity-weighted (VFCW) maps together with 3D ventilation-weighted (VW) maps may help to better assess pulmonary function. PURPOSE To investigate the use of 3D VFCW and VW maps for evaluating pulmonary ventilation function. STUDY TYPE Prospective. POPULATION Two patients (one male, 85 years old; one female, 64 years old) with chronic obstructive pulmonary disease (COPD) and nine healthy subjects (all male; 23-27 years). FIELD STRENGTH/SEQUENCE 3-T, 3D radial UTE imaging. ASSESSMENT 3D VFCW and VW maps were calculated from 3D UTE MRI by voxel-wise subtraction of respiratory phase images. Their validation was tested in nine healthy volunteers using slow/deep and fast/shallow breathing conditions. Additional validation was performed by comparison with single photon emission computed tomography (SPECT) ventilation maps of one healthy participant. For comparison, gravity dependence of anterior-posterior regional ventilation was assessed by one-dimensional plot of the mean signal intensity for each coronal slice. Structural similarity index measure was also calculated. Finally, VW maps and VFCW maps of two COPD patients were evaluated for emphysema lesions with reference to CT images. STATISTICAL TESTS Wilcoxon sign-rank tests for regional Ventilation and ventilation flow capacity, analysis of variance, post-hoc t-tests and Bonferroni correction, coefficient of variation, Kullback-Liebler divergence. A P-value <0.05 was considered statistically significant. RESULTS The validation of 3D VFCW and VW maps was shown by statistically significant differences in ventilation flow capacity and ventilation between the breathing conditions. Additionally, UTE-MRI and SPECT-based ventilation maps showed gravitational dependence in the anteroposterior direction. When applied to patients with COPD, the use of 3D VFCW and VW maps was able to differentiate between two patients with different phenotypes. DATA CONCLUSION The use of 3D VFCW and VW maps can provide regional information on ventilation function and potentially contribute to assessment of COPD subtypes and disease progression. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Seokwon Lee
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Jinil Park
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Hyeonha Kim
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jang-Yeon Park
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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Friedlander Y, Munidasa S, Thakar A, Ragunayakam N, Venegas C, Kjarsgaard M, Zanette B, Capaldi DPI, Santyr G, Nair P, Svenningsen S. Phase-Resolved Functional Lung (PREFUL) MRI to Quantify Ventilation: Feasibility and Physiological Relevance in Severe Asthma. Acad Radiol 2024; 31:3416-3426. [PMID: 38378325 DOI: 10.1016/j.acra.2024.01.039] [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: 12/18/2023] [Revised: 01/28/2024] [Accepted: 01/28/2024] [Indexed: 02/22/2024]
Abstract
RATIONALE AND OBJECTIVES Emergent evidence in several respiratory diseases supports translational potential for Phase-Resolved Functional Lung (PREFUL) MRI to spatially quantify ventilation but its feasibility and physiological relevance have not been demonstrated in patients with asthma. This study compares PREFUL-derived ventilation defect percent (VDP) in severe asthma patients to healthy controls and measures its responsiveness to bronchodilator therapy and relation to established measures of airways disease. MATERIALS AND METHODS Forty-one adults with severe asthma and seven healthy controls performed same-day free-breathing 1H MRI, 129Xe MRI, spirometry, and oscillometry. A subset of participants (n = 23) performed chest CT and another subset of participants with asthma (n = 19) repeated 1H MRI following the administration of a bronchodilator. VDP was calculated for both PREFUL and 129Xe MRI. Additionally, the percent of functional small airways disease was determined from CT parametric response maps (PRMfSAD). RESULTS PREFUL VDP measured pre-bronchodilator (19.1% [7.4-43.3], p = 0.0002) and post-bronchodilator (16.9% [6.1-38.4], p = 0.0007) were significantly greater than that of healthy controls (7.5% [3.7-15.5]) and was significantly decreased post-bronchodilator (from 21.9% [10.1-36.9] to 16.9% [6.1-38.4], p = 0.0053). PREFUL VDP was correlated with spirometry (FEV1%pred: r = -0.46, p = 0.0023; FVC%pred: r = -0.35, p = 0.024, FEV1/FVC: r = -0.46, p = 0.0028), 129Xe MRI VDP (r = 0.39, p = 0.013), and metrics of small airway disease (CT PRMfSAD: r = 0.55, p = 0.021; Xrs5 Hz: r = -0.44, p = 0.0046, and AX: r = 0.32, p = 0.044). CONCLUSION PREFUL-derived VDP is responsive to bronchodilator therapy in asthma and is associated with measures of airflow obstruction and small airway dysfunction. These findings validate PREFUL VDP as a physiologically relevant and accessible ventilation imaging outcome measure in asthma.
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Affiliation(s)
- Yonni Friedlander
- Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, Canada
| | - Samal Munidasa
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Ashutosh Thakar
- Department of Medicine, McMaster University, Hamilton, Canada
| | | | - Carmen Venegas
- Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - Melanie Kjarsgaard
- Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Canada
| | - Dante P I Capaldi
- Department of Radiation Oncology, Division of Physics, University of California, San Francisco, CA
| | - Giles Santyr
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Parameswaran Nair
- Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - Sarah Svenningsen
- Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada.
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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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Hahn JJ, Voskrebenzev A, Behrendt L, Klimeš F, Pöhler GH, Wacker F, Vogel-Claussen J. Sequence comparison of spoiled gradient echo and balanced steady-state free precession for pulmonary free-breathing proton MRI in patients and healthy volunteers: Correspondence, repeatability, and validation with dynamic contrast-enhanced MRI. NMR IN BIOMEDICINE 2024:e5209. [PMID: 38994704 DOI: 10.1002/nbm.5209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/23/2024] [Accepted: 06/11/2024] [Indexed: 07/13/2024]
Abstract
Phase-resolved functional lung (PREFUL) MRI is a proton-based, contrast agent-free technique derived from the Fourier decomposition approach to measure regional ventilation and perfusion dynamics during free-breathing. Besides the necessity of extensive PREFUL postprocessing, the utilized MRI sequence must fulfill specific requirements. This study investigates the impact of sequence selection on PREFUL-MRI-derived functional parameters by comparing the standard spoiled gradient echo (SPGRE) sequence with a lung-optimized balanced steady-state free precession (bSSFP) sequence, thereby facilitating PREFULs clinical application in pulmonary disease assessment. This study comprised a prospective dataset of healthy volunteers and a retrospective dataset of patients with suspected chronic thromboembolic pulmonary hypertension. Both cohorts underwent PREFUL-MRI with both sequences to assess the correspondence of PREFUL ventilation and perfusion parameters (A). Additionally, healthy subjects were scanned a second time to evaluate repeatability (B), whereas patients received dynamic contrast-enhanced (DCE)-MRI, considered the perfusion gold standard for comparison with PREFUL-MRI (C). Signal-to-noise ratio (SNR), calculated from the unprocessed images, was compared alongside median differences of PREFUL-MRI-derived parameters using a paired Wilcoxon signed rank test. Further evaluations included calculation of the Pearson correlation, intraclass-correlation coefficient for repeatability assessment, and spatial overlap (SO) for regional comparison of PREFUL-MRI and DCE-MRI. bSSFP showed a clear SNR advantage over SPGRE (median: 23 vs. 9, p < 0.001). (A) Despite significant differences, parameter values were strongly correlated (r ≥ 0.75). After thresholding, binary maps showed high healthy overlap across both cohorts (SOHealthy > 86%) and high defect overlap in the patient cohort (SODefect ≥ 48%). (B) bSSFP demonstrated slightly higher repeatability across most parameters. (C) Both sequences demonstrated comparable correspondence to DCE-MRI, with SPGRE excelling in absolute quantification and bSSFP in spatial agreement. Although bSSFP showed superior SNR results, both sequences displayed spatial defect concordance and highly correlated PREFUL parameters with deviations regarding repeatability and alignment with DCE-MRI.
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Affiliation(s)
- Jonah J Hahn
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
| | - Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Lea Behrendt
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Filip Klimeš
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Gesa H Pöhler
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Frank Wacker
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
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9
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Tcherner S, Parraga G. Editorial for "Phase-resolved Functional Lung (PREFUL) MRI May Reveal Distinct Pulmonary Perfusion Defects in Postacute COVID-19 Syndrome: Sex, Hospitalization, and Dyspnea Heterogeneity". J Magn Reson Imaging 2024. [PMID: 38888494 DOI: 10.1002/jmri.29460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 05/10/2024] [Indexed: 06/20/2024] Open
Affiliation(s)
- Sam Tcherner
- Robarts Research Institute, THe University of Western ONtario, London, Canada
- Department of Medical Biophysics, The University of Western Ontario, London, Canada
| | - Grace Parraga
- Robarts Research Institute, THe University of Western ONtario, London, Canada
- Department of Medical Biophysics, The University of Western Ontario, London, Canada
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10
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Ouyang T, Tang Y, Klimes F, Vogel-Claussen J, Voskrebenzev A, Yang Q. Phase-Resolved Functional Lung (PREFUL) MRI May Reveal Distinct Pulmonary Perfusion Defects in Postacute COVID-19 Syndrome: Sex, Hospitalization, and Dyspnea Heterogeneity. J Magn Reson Imaging 2024. [PMID: 38887850 DOI: 10.1002/jmri.29458] [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: 03/28/2024] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Pulmonary perfusion defects have been observed in patients with coronavirus disease 2019 (COVID-19). Currently, there is a need for further data on non-contrast-enhanced MRI in COVID patients. The early identification of heterogeneity in pulmonary perfusion defects among COVID-19 patients is beneficial for their timely clinical intervention and management. PURPOSE To investigate the utility of phase-resolved functional lung (PREFUL) MRI in detecting pulmonary perfusion disturbances in individuals with postacute COVID-19 syndrome (PACS). STUDY TYPE Prospective. SUBJECTS Forty-four participants (19 females, mean age 64.1 years) with PACS and 44 healthy subjects (19 females, mean age 59.5 years). Moreover, among the 44 patients, there were 19 inpatients and 25 outpatients; 19 were female and 25 were male; 18 with non-dyspnea and 26 with dyspnea. FIELD STRENGTH/SEQUENCE 3-T, two-dimensional (2D) spoiled gradient-echo sequence. ASSESSMENT Ventilation and perfusion-weighted maps were extracted from five coronal slices using PREFUL analysis. Subsequently, perfusion defect percentage (QDP), ventilation defect percentage (VDP), and ventilation-perfusion match healthy (VQM) were calculated based on segmented lung parenchyma ventilation and perfusion-weighted maps. Additionally, clinical features, including demographic data (such as sex and age) and serum biomarkers (such as D-dimer levels), were evaluated. STATISTICAL TESTS Spearman correlation coefficients to explore relationships between clinical features and QDP, VDP, and VQM. Propensity score matching analysis to reduce the confounding bias between patients with PACS and healthy controls. The Mann-Whitney U tests and Chi-squared tests to detect differences between groups. Multivariable linear regression analyses to identify factors related to QDP, VDP, and VQM. A P-value <0.05 was considered statistically significant. RESULTS QDP significantly exceeded that of healthy controls in individuals with PACS (39.8% ± 15.0% vs. 11.0% ± 4.9%) and was significantly higher in inpatients than in outpatients (46.8% ± 17.0% vs. 34.5% ± 10.8%). Moreover, males exhibited pulmonary perfusion defects significantly more frequently than females (43.9% ± 16.8% vs. 34.4% ± 10.2%), and dyspneic participants displayed significantly higher perfusion defects than non-dyspneic patients (44.8% ± 15.8% vs. 32.6% ± 10.3%). QDP showed a significant positive relationship with age (β = 0.50) and D-dimer level (β = 0.72). DATA CONCLUSION PREFUL MRI may show pulmonary perfusion defects in patients with PACS. Furthermore, perfusion impairments may be more pronounced in males, inpatients, and dyspneic patients. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Tao Ouyang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab. of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yichen Tang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab. of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Filip Klimes
- 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 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
| | - 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
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab. of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
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11
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Doellinger F, Bauman G, Roehmel J, Stahl M, Posch H, Steffen IG, Pusterla O, Bieri O, Wielpütz MO, Mall MA. Contrast agent-free functional magnetic resonance imaging with matrix pencil decomposition to quantify abnormalities in lung perfusion and ventilation in patients with cystic fibrosis. Front Med (Lausanne) 2024; 11:1349466. [PMID: 38903825 PMCID: PMC11188455 DOI: 10.3389/fmed.2024.1349466] [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: 12/04/2023] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
Background Previous studies showed that contrast-enhanced (CE) morpho-functional magnetic resonance imaging (MRI) detects abnormalities in lung morphology and perfusion in patients with cystic fibrosis (CF). Novel matrix pencil decomposition MRI (MP-MRI) enables quantification of lung perfusion and ventilation without intravenous contrast agent administration. Objectives To compare MP-MRI with established morpho-functional MRI and spirometry in patients with CF. Methods Thirty-nine clinically stable patients with CF (mean age 21.6 ± 10.7 years, range 8-45 years) prospectively underwent morpho-functional MRI including CE perfusion MRI, MP-MRI and spirometry. Two blinded chest radiologists assessed morpho-functional MRI and MP-MRI employing the validated chest MRI score. In addition, MP-MRI data were processed by automated software calculating perfusion defect percentage (QDP) and ventilation defect percentage (VDP). Results MP perfusion score and QDP correlated strongly with the CE perfusion score (both r = 0.81; p < 0.01). MP ventilation score and VDP showed strong inverse correlations with percent predicted FEV1 (r = -0.75 and r = -0.83; p < 0.01). The comparison of visual and automated parameters showed that both MP perfusion score and QDP, and MP ventilation score and VDP were strongly correlated (r = 0.74 and r = 0.78; both p < 0.01). Further, the MP perfusion score and MP ventilation score, as well as QDP and VDP were strongly correlated (r = 0.88 and r = 0.86; both p < 0.01). Conclusion MP-MRI detects abnormalities in lung perfusion and ventilation in patients with CF without intravenous or inhaled contrast agent application, and correlates strongly with the well-established CE perfusion MRI score and spirometry. Automated analysis of MP-MRI may serve as quantitative noninvasive outcome measure for diagnostic monitoring and clinical trials.
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Affiliation(s)
- Felix Doellinger
- Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Grzegorz Bauman
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jobst Roehmel
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Lung Research (DZL), Associated Partner Site, Berlin, Germany
| | - Mirjam Stahl
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Lung Research (DZL), Associated Partner Site, Berlin, Germany
| | - Helena Posch
- Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ingo G. Steffen
- Department of Pediatric Hematology and Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Orso Pusterla
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Oliver Bieri
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Mark O. Wielpütz
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital of Heidelberg, Heidelberg, Germany
| | - Marcus A. Mall
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Lung Research (DZL), Associated Partner Site, Berlin, Germany
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12
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Ota H, Higuchi S. Editorial for "Multicenter Standardization of Phase-Resolved Functional Lung MRI in Patients With Suspected Chronic Thromboembolic Pulmonary Hypertension". J Magn Reson Imaging 2024; 59:1965-1966. [PMID: 37682009 DOI: 10.1002/jmri.28992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 09/09/2023] Open
Affiliation(s)
- Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
- Department of Advanced MRI Collaboration Research, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Satoshi Higuchi
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
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13
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Streibel C, Willers CC, Bauman G, Pusterla O, Bieri O, Curdy M, Horn M, Casaulta C, Berger S, Dekany GM, Kieninger E, Bartenstein A, Latzin P. Long-term pulmonary outcome of children with congenital diaphragmatic hernia: functional lung MRI using matrix-pencil decomposition enables side-specific assessment of lung function. Eur Radiol 2024; 34:3773-3785. [PMID: 37982833 PMCID: PMC11166819 DOI: 10.1007/s00330-023-10395-8] [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: 06/06/2023] [Revised: 08/23/2023] [Accepted: 08/30/2023] [Indexed: 11/21/2023]
Abstract
OBJECTIVES In patients with congenital diaphragmatic hernia (CDH) the exact functional outcome of the affected lung side is still unknown, mainly due to the lack of spatially resolved diagnostic tools. Functional matrix-pencil decomposition (MP-) lung MRI fills this gap as it measures side-specific ventilation and perfusion. We aimed to assess the overall and side-specific pulmonary long-term outcomes of patients with CDH using lung function tests and MP-MRI. METHODS Thirteen school-aged children with CDH (seven with small and six with large defect-sized CDH, defined as > 50% of the chest wall circumference being devoid of diaphragm tissue) and thirteen healthy matched controls underwent spirometry, multiple-breath washout, and MP-MRI. The main outcomes were forced expiratory volume in 1 second (FEV1), lung clearance index (LCI2.5), ventilation defect percentage (VDP), and perfusion defect percentage (QDP). RESULTS Patients with a large CDH showed significantly reduced overall lung function compared to healthy controls (mean difference [95%-CIadjusted]: FEV1 (z-score) -4.26 [-5.61, -2.92], FVC (z-score) -3.97 [-5.68, -2.26], LCI2.5 (TO) 1.12 [0.47, 1.76], VDP (%) 8.59 [3.58, 13.60], QDP (%) 17.22 [13.16, 21.27]) and to patients with a small CDH. Side-specific examination by MP-MRI revealed particularly reduced ipsilateral ventilation and perfusion in patients with a large CDH (mean difference to contralateral side [95%-CIadjusted]: VDP (%) 14.80 [10.50, 19.00], QDP (%) 23.50 [1.75, 45.20]). CONCLUSIONS Data indicate impaired overall lung function with particular limitation of the ipsilateral side in patients with a large CDH. MP-MRI is a promising tool to provide valuable side-specific functional information in the follow-up of patients with CDH. CLINICAL RELEVANCE STATEMENT In patients with congenital diaphragmatic hernia, easily applicable MP-MRI allows specific examination of the lung side affected by the hernia and provides valuable information on ventilation and perfusion with implications for clinical practice, making it a promising tool for routine follow-up. KEY POINTS • Functional matrix pencil decomposition (MP) MRI data from a small sample indicate reduced ipsilateral pulmonary ventilation and perfusion in children with large congenital diaphragmatic hernia (CDH). • Easily applicable pencil decomposition MRI provides valuable side-specific diagnostic information on lung ventilation and perfusion. This is a clear advantage over conventional lung function tests, helping to comprehensively follow up patients with congenital diaphragmatic hernia and monitor therapy effects.
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Affiliation(s)
- Carmen Streibel
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
| | - C Corin Willers
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
- Department of Paediatrics, Kantonsspital Aarau, Aarau, Switzerland
| | - Grzegorz Bauman
- Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Orso Pusterla
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Oliver Bieri
- Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Marion Curdy
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Horn
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Carmen Casaulta
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Steffen Berger
- Department of Paediatric Surgery, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Gabriela Marta Dekany
- Department of Paediatric Surgery, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Elisabeth Kieninger
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Bartenstein
- Department of Paediatric Surgery, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Philipp Latzin
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
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Moher Alsady T, Voskrebenzev A, Behrendt L, Olsson K, Heußel CP, Gruenig E, Gall H, Ghofrani A, Roller F, Harth S, Marshall H, Hughes PJC, Wild J, Swift AJ, Kiely DG, Behr J, Dinkel J, Beitzke D, Lang IM, Schmidt KH, Kreitner KF, Frauenfelder T, Ulrich S, Hamer OW, Vogel-Claussen J. Multicenter Standardization of Phase-Resolved Functional Lung MRI in Patients With Suspected Chronic Thromboembolic Pulmonary Hypertension. J Magn Reson Imaging 2024; 59:1953-1964. [PMID: 37732541 DOI: 10.1002/jmri.28995] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/19/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Detection of pulmonary perfusion defects is the recommended approach for diagnosing chronic thromboembolic pulmonary hypertension (CTEPH). This is currently achieved in a clinical setting using scintigraphy. Phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) is an alternative technique for evaluating regional ventilation and perfusion without the use of ionizing radiation or contrast media. PURPOSE To assess the feasibility and image quality of PREFUL-MRI in a multicenter setting in suspected CTEPH. STUDY TYPE This is a prospective cohort sub-study. POPULATION Forty-five patients (64 ± 16 years old) with suspected CTEPH from nine study centers. FIELD STRENGTH/SEQUENCE 1.5 T and 3 T/2D spoiled gradient echo/bSSFP/T2 HASTE/3D MR angiography (TWIST). ASSESSMENT Lung signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between study centers with different MRI machines. The contrast between normally and poorly perfused lung areas was examined on PREFUL images. The perfusion defect percentage calculated using PREFUL-MRI (QDPPREFUL) was compared to QDP from the established dynamic contrast-enhanced MRI technique (QDPDCE). Furthermore, QDPPREFUL was compared between a patient subgroup with confirmed CTEPH or chronic thromboembolic disease (CTED) to other clinical subgroups. STATISTICAL TESTS t-Test, one-way analysis of variance (ANOVA), Pearson's correlation. Significance level was 5%. RESULTS Significant differences in lung SNR and CNR were present between study centers. However, PREFUL perfusion images showed a significant contrast between normally and poorly perfused lung areas (mean delta of normalized perfusion -4.2% SD 3.3) with no differences between study sites (ANOVA: P = 0.065). QDPPREFUL was significantly correlated with QDPDCE (r = 0.66), and was significantly higher in 18 patients with confirmed CTEPH or CTED (57.9 ± 12.2%) compared to subgroups with other causes of PH or with excluded PH (in total 27 patients with mean ± SD QDPPREFUL = 33.9 ± 17.2%). DATA CONCLUSION PREFUL-MRI could be considered as a non-invasive method for imaging regional lung perfusion in multicenter studies. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Tawfik Moher Alsady
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Lea Behrendt
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Karen Olsson
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
- Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | | | - Ekkehard Gruenig
- Thoraxklinik, University Hospital of Heidelberg, Heidelberg, Germany
| | - Henning Gall
- Department of Internal Medicine, University Hospital Giessen, Giessen, Germany
| | - Ardeschir Ghofrani
- Department of Internal Medicine, University Hospital Giessen, Giessen, Germany
| | - Fritz Roller
- Department of Diagnostic and Interventional Radiology, University Hospital Giessen, Giessen, Germany
| | - Sebastian Harth
- Department of Diagnostic and Interventional Radiology, University Hospital Giessen, Giessen, Germany
| | - Helen Marshall
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul J C Hughes
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Jim Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - David G Kiely
- Sheffield Pulmonary Vascular Disease Unit, NIHR Biomedical Research Centre Sheffield, Sheffield, UK
| | - Jürgen Behr
- Department of Medicine V, University Hospital of Munich, Munich, Germany
| | - Julien Dinkel
- Department of Radiology, University Hospital of Munich, Munich, Germany
| | - Dietrich Beitzke
- Department of Biomedical Engineering and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Irene M Lang
- Internal Medicine II, AKH-Vienna, Medical University of Vienna, Vienna, Austria
| | - Kai Helge Schmidt
- Cardiology I, University Medical Centre, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Karl Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Centre, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Frauenfelder
- Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Silvia Ulrich
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Okka W Hamer
- Institute for Radiology, University Hospital Regensburg, Regensburg, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
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15
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Peggs ZJT, Brooke JP, Bolton CE, Hall IP, Francis ST, Gowland PA. Free-Breathing Functional Pulmonary Proton MRI: A Novel Approach Using Voxel-Wise Lung Ventilation (VOLVE) Assessment in Healthy Volunteers and Patients With Chronic Obstructive Pulmonary Disease. J Magn Reson Imaging 2024. [PMID: 38819593 DOI: 10.1002/jmri.29444] [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: 09/06/2023] [Revised: 04/27/2024] [Accepted: 04/30/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND In respiratory medicine, there is a need for sensitive measures of regional lung function that can be performed using standard imaging technology, without the need for inhaled or intravenous contrast agents. PURPOSE To describe VOxel-wise Lung VEntilation (VOLVE), a new method for quantifying regional lung ventilation (V) and perfusion (Q) using free-breathing proton MRI, and to evaluate VOLVE in healthy never-smokers, healthy people with smoking history, and people with chronic obstructive pulmonary disease (COPD). STUDY TYPE Prospective pilot. POPULATION Twelve healthy never-smoker participants (age 30.3 ± 12.5 years, five male), four healthy participants with smoking history (>10 pack-years) (age 42.5 ± 18.3 years, one male), and 12 participants with COPD (age 62.8 ± 11.1 years, seven male). FIELD STRENGTH/SEQUENCE Single-slice free-breathing two-dimensional fast field echo sequence at 3 T. ASSESSMENT A novel postprocessing was developed to evaluate the MR signal changes in the lung parenchyma using a linear regression-based approach, which makes use of all the data in the time series for maximum sensitivity. V/Q-weighted maps were produced by computing the cross-correlation, lag and gradient between the respiratory/cardiac phase time course and lung parenchyma signal time courses. A comparison of histogram median and skewness values and spirometry was performed. STATISTICAL TESTS Kruskal-Wallis tests with Dunn's multiple comparison tests to compare VOLVE metrics between groups; Spearman correlation to assess the correlation between MRI and spirometry-derived parameters; and Bland-Altman analysis and coefficient of variation to evaluate repeatability were used. A P-value <0.05 was considered significant. RESULTS Significant differences between the groups were found for ventilation between healthy never-smoker and COPD groups (median XCCV, LagV, and GradV) and perfusion (median XCCQ, LagQ, and GradQ). Minimal bias and no significant differences between intravisit scans were found (P range = 0.12-0.97). DATA CONCLUSION This preliminary study showed that VOLVE has potential to provide metrics of function quantification. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Zachary J T Peggs
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
- Centre for Respiratory Research, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Jonathan P Brooke
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
- Centre for Respiratory Research, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Respiratory Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Charlotte E Bolton
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
- Centre for Respiratory Research, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Respiratory Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Ian P Hall
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
- Centre for Respiratory Research, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Respiratory Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Susan T Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
- Centre for Respiratory Research, NIHR Nottingham Biomedical Research Centre, Nottingham, UK
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Moher Alsady T, Ruschepaul J, Voskrebenzev A, Klimes F, Poehler GH, Vogel-Claussen J. Estimating ventilation correlation coefficients in the lungs using PREFUL-MRI in chronic obstructive pulmonary disease patients and healthy adults. Magn Reson Med 2024; 91:2142-2152. [PMID: 38217450 DOI: 10.1002/mrm.29982] [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: 07/09/2023] [Revised: 11/14/2023] [Accepted: 12/01/2023] [Indexed: 01/15/2024]
Abstract
PURPOSE Various parameters of regional lung ventilation can be estimated using phase-resolved functional lung (PREFUL)-MRI. The parameter "ventilation correlation coefficient (Vent-CC)" was shown advantageous because it assesses the dynamics of regional air flow. Calculating Vent-CC depends on a voxel-wise comparison to a healthy reference flow curve. This work examines the effect of placing a reference region of interest (ROI) in various lung quadrants or in different coronal slices. Furthermore, algorithms for automated ROI selection are presented and compared in terms of test-retest repeatability. METHODS Twenty-eight healthy subjects and 32 chronic obstructive pulmonary disease (COPD) patients were scanned twice using PREFUL-MRI. Retrospective analyses examined the homogeneity of air flow curves of various reference ROIs using cross-correlation. Vent-CC and ventilation defect percentage (VDP) calculated using various reference ROIs were compared using one-way analysis of variance (ANOVA). The coefficient of variation was calculated for Vent-CC and VDP when using different reference selection algorithms. RESULTS Flow-volume curves were highly correlated between ROIs placed at various lung quadrants in the same coronal slice (r > 0.97) with no differences in Vent-CC and VDP (ANOVA: p > 0.5). However, ROIs placed at different coronal slices showed lower correlation coefficients and resulted in significantly different Vent-CC and VDP values (ANOVA: p < 0.001). Vent-CC and VDP showed higher repeatability when calculated using the presented new algorithm. CONCLUSION In COPD and healthy cohorts, assessing regional ventilation dynamics using PREFUL-MRI in terms of the Vent-CC metric showed higher repeatability using a new algorithm for selecting a homogenous reference ROI from the same slice.
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Affiliation(s)
- Tawfik Moher Alsady
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
| | - Jakob Ruschepaul
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
| | - Filip Klimes
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
| | - Gesa Helen Poehler
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany
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17
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Dohna M, Voskrebenzev A, Klimeš F, Kaireit TF, Glandorf J, Pallenberg ST, Ringshausen FC, Hansen G, Renz DM, Wacker F, Dittrich AM, Vogel-Claussen J. PREFUL MRI for Monitoring Perfusion and Ventilation Changes after Elexacaftor-Tezacaftor-Ivacaftor Therapy for Cystic Fibrosis: A Feasibility Study. Radiol Cardiothorac Imaging 2024; 6:e230104. [PMID: 38573129 PMCID: PMC11056757 DOI: 10.1148/ryct.230104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 01/18/2024] [Accepted: 02/07/2024] [Indexed: 04/05/2024]
Abstract
Purpose To assess the feasibility of monitoring the effects of elexacaftor-tezacaftor-ivacaftor (ETI) therapy on lung ventilation and perfusion in people with cystic fibrosis (CF), using phase-resolved functional lung (PREFUL) MRI. Materials and Methods This secondary analysis of a multicenter prospective study was carried out between August 2020 and March 2021 and included participants 12 years or older with CF who underwent PREFUL MRI, spirometry, sweat chloride test, and lung clearance index assessment before and 8-16 weeks after ETI therapy. For PREFUL-derived ventilation and perfusion parameter extraction, two-dimensional coronal dynamic gradient-echo MR images were evaluated with an automated quantitative pipeline. T1- and T2-weighted MR images and PREFUL perfusion maps were visually assessed for semiquantitative Eichinger scores. Wilcoxon signed rank test compared clinical parameters and PREFUL values before and after ETI therapy. Correlation of parameters was calculated as Spearman ρ correlation coefficient. Results Twenty-three participants (median age, 18 years [IQR: 14-24.5 years]; 13 female) were included. Quantitative PREFUL parameters, Eichinger score, and clinical parameters (lung clearance index = 21) showed significant improvement after ETI therapy. Ventilation defect percentage of regional ventilation decreased from 18% (IQR: 14%-25%) to 9% (IQR: 6%-17%) (P = .003) and perfusion defect percentage from 26% (IQR: 18%-36%) to 19% (IQR: 13%-24%) (P = .002). Areas of matching normal (healthy) ventilation and perfusion increased from 52% (IQR: 47%-68%) to 73% (IQR: 61%-83%). Visually assessed perfusion scores did not correlate with PREFUL perfusion (P = .11) nor with ventilation-perfusion match values (P = .38). Conclusion The study demonstrates the feasibility of PREFUL MRI for semiautomated quantitative assessment of perfusion and ventilation changes in response to ETI therapy in people with CF. Keywords: Pediatrics, MR-Functional Imaging, Pulmonary, Lung, Comparative Studies, Cystic Fibrosis, Elexacaftor-Tezacaftor-Ivacaftor Therapy, Fourier Decomposition, PREFUL, Free-Breathing Proton MRI, Pulmonary MRI, Perfusion, Functional MRI, CFTR, Modulator Therapy, Kaftrio Clinical trial registration no. NCT04732910 Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Martha Dohna
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Andreas Voskrebenzev
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Filip Klimeš
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Till F. Kaireit
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Julian Glandorf
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Sophia T. Pallenberg
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Felix C. Ringshausen
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Gesine Hansen
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Diane Miriam Renz
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
| | - Frank Wacker
- From the Department of Diagnostic and Interventional Radiology (M.D.,
A.V., F.K., T.F.K., J.G., D.M.R., F.W., J.V.C.), German Center for Lung Research
(DZL), Biomedical Research in Endstage and Obstructive Lung Disease (BREATH)
(A.V., F.K., T.F.K., J.G., S.T.P., F.C.R., G.H., F.W., A.M.D., J.V.C.),
Department for Pediatric Pneumology, Allergology and Neonatology (S.T.P., G.H.,
A.M.D., J.V.C.), and Department of Respiratory Medicine (F.C.R.), Hannover
Medical School, Carl-Neuberg-Str 1, 30625 Hannover, Germany; and European
Reference Network on Rare and Complex Respiratory Diseases (ERN-LUNG),
Frankfurt, Germany (F.C.R.)
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18
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Wernz MM, Voskrebenzev A, Müller RA, Zubke M, Klimeš F, Glandorf J, Czerner C, Wacker F, Olsson KM, Hoeper MM, Hohlfeld JM, Vogel-Claussen J. Feasibility, Repeatability, and Correlation to Lung Function of Phase-Resolved Functional Lung (PREFUL) MRI-derived Pulmonary Artery Pulse Wave Velocity Measurements. J Magn Reson Imaging 2024. [PMID: 38460124 DOI: 10.1002/jmri.29337] [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: 12/21/2023] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Pulse wave velocity (PWV) in the pulmonary arteries (PA) is a marker of vascular stiffening. Currently, only phase-contrast (PC) MRI-based options exist to measure PA-PWV. PURPOSE To test feasibility, repeatability, and correlation to clinical data of Phase-Resolved Functional Lung (PREFUL) MRI-based calculation of PA-PWV. STUDY TYPE Retrospective. SUBJECTS 79 (26 female) healthy subjects (age range 19-78), 58 (24 female) patients with chronic obstructive pulmonary disease (COPD, age range 40-77), 60 (33 female) patients with suspected pulmonary hypertension (PH, age range 28-85). SEQUENCE 2D spoiled gradient echo, 1.5T. ASSESSMENT PA-PWV was measured from PREFUL-derived cardiac cycles based on the determination of temporal and spatial distance between lung vasculature voxels using a simplified (sPWV) method and a more comprehensive (cPWV) method including more elaborate distance calculation. For 135 individuals, PC MRI-based PWV (PWV-QA) was measured. STATISTICAL TESTS Intraclass-correlation-coefficient (ICC) and coefficient of variation (CoV) were used to test repeatability. Nonparametric tests were used to compare cohorts. Correlation of sPWV/cPWV, PWV-QA, forced expiratory volume in 1 sec (FEV1 ) %predicted, residual volume (RV) %predicted, age, and right heart catheterization (RHC) data were tested. Significance level α = 0.05 was used. RESULTS sPWV and cPWV showed no significant differences between repeated measurements (P-range 0.10-0.92). CoV was generally lower than 15%. COPD and PH patients had significantly higher sPWV and cPWV than healthy subjects. Significant correlation was found between sPWV or cPWV and FEV1 %pred. (R = -0.36 and R = -0.44), but not with RHC (P-range -0.11 - 0.91) or age (P-range 0.23-0.89). Correlation to RV%pred. was significant for cPWV (R = 0.42) but not for sPWV (R = 0.34, P = 0.055). For all cohorts, sPWV and cPWV were significantly correlated with PWV-QA (R = -0.41 and R = 0.48). DATA CONCLUSION PREFUL-derived PWV is feasible and repeatable. PWV is increased in COPD and PH patients and correlates to airway obstruction and hyperinflation. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Marius M Wernz
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Robin A Müller
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Maximilian Zubke
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Filip Klimeš
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Julian Glandorf
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Christoph Czerner
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Karen M Olsson
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
- Department of Respiratory Medicine and Infectious Diseases, Hannover Medical School, Hannover, Germany
| | - Marius M Hoeper
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
- Department of Respiratory Medicine and Infectious Diseases, Hannover Medical School, Hannover, Germany
| | - Jens M Hohlfeld
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
- Department of Respiratory Medicine and Infectious Diseases, Hannover Medical School, Hannover, Germany
- Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
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Triphan SMF, Bauman G, Konietzke P, Konietzke M, Wielpütz MO. Magnetic Resonance Imaging of Lung Perfusion. J Magn Reson Imaging 2024; 59:784-796. [PMID: 37466278 DOI: 10.1002/jmri.28912] [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: 05/26/2023] [Revised: 07/01/2023] [Accepted: 07/03/2023] [Indexed: 07/20/2023] Open
Abstract
"Lung perfusion" in the context of imaging conventionally refers to the delivery of blood to the pulmonary capillary bed through the pulmonary arteries originating from the right ventricle required for oxygenation. The most important physiological mechanism in the context of imaging is the so-called hypoxic pulmonary vasoconstriction (HPV, also known as "Euler-Liljestrand-Reflex"), which couples lung perfusion to lung ventilation. In obstructive airway diseases such as asthma, chronic-obstructive pulmonary disease (COPD), cystic fibrosis (CF), and asthma, HPV downregulates pulmonary perfusion in order to redistribute blood flow to functional lung areas in order to conserve optimal oxygenation. Imaging of lung perfusion can be seen as a reflection of lung ventilation in obstructive airway diseases. Other conditions that primarily affect lung perfusion are pulmonary vascular diseases, pulmonary hypertension, or (chronic) pulmonary embolism, which also lead to inhomogeneity in pulmonary capillary blood distribution. Several magnetic resonance imaging (MRI) techniques either dependent on exogenous contrast materials, exploiting periodical lung signal variations with cardiac action, or relying on intrinsic lung voxel attributes have been demonstrated to visualize lung perfusion. Additional post-processing may add temporal information and provide quantitative information related to blood flow. The most widely used and robust technique, dynamic-contrast enhanced MRI, is available in clinical routine assessment of COPD, CF, and pulmonary vascular disease. Non-contrast techniques are important research tools currently requiring clinical validation and cross-correlation in the absence of a viable standard of reference. First data on many of these techniques in the context of observational studies assessing therapy effects have just become available. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Simon M F Triphan
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Grzegorz Bauman
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Philip Konietzke
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Marilisa Konietzke
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | - Mark O Wielpütz
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
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20
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Balu N, Pipavath S. Editorial for "Non-Contrast-Enhanced Functional Lung MRI to Evaluate Treatment Response of Allergic Bronchopulmonary Aspergillosis in Patients With Cystic Fibrosis: A Pilot Study". J Magn Reson Imaging 2024; 59:920-921. [PMID: 37285083 DOI: 10.1002/jmri.28845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 05/22/2023] [Indexed: 06/08/2023] Open
Affiliation(s)
- Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Sudhakar Pipavath
- Department of Radiology, University of Washington, Seattle, Washington, USA
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Kay FU, Madhuranthakam AJ. MR Perfusion Imaging of the Lung. Magn Reson Imaging Clin N Am 2024; 32:111-123. [PMID: 38007274 DOI: 10.1016/j.mric.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
Lung perfusion assessment is critical for diagnosing and monitoring a variety of respiratory conditions. MRI perfusion provides a radiation-free technique, making it an ideal choice for longitudinal imaging in younger populations. This review focuses on the techniques and applications of MRI perfusion, including contrast-enhanced (CE) MRI and non-CE methods such as arterial spin labeling (ASL), fourier decomposition (FD), and hyperpolarized 129-Xenon (129-Xe) MRI. ASL leverages endogenous water protons as tracers for a non-invasive measure of lung perfusion, while FD offers simultaneous measurements of lung perfusion and ventilation, enabling the generation of ventilation/perfusion mapsHyperpolarized 129-Xe MRI emerges as a novel tool for assessing regional gas exchange in the lungs. Despite the promise of MRI perfusion techniques, challenges persist, including competition with other imaging techniques and the need for additional validation and standardization. In conditions such as cystic fibrosis and lung cancer, MRI has displayed encouraging results, whereas in diseases like chronic obstructive pulmonary disease, further validation remains necessary. In conclusion, while MRI perfusion techniques hold immense potential for a comprehensive, non-invasive assessment of lung function and perfusion, their broader clinical adoption hinges on technological advancements, collaborative research, and rigorous validation.
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Affiliation(s)
- Fernando U Kay
- Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
| | - Ananth J Madhuranthakam
- Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, North Campus 2201 Inwood Road, Dallas, TX 75390-8568, USA
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Valentin R, Niérat M, Wattiez N, Jacq O, Decavèle M, Arnulf I, Similowski T, Attali V. Neurophysiological basis of respiratory discomfort improvement by mandibular advancement in awake OSA patients. Physiol Rep 2024; 12:e15951. [PMID: 38373738 PMCID: PMC10984610 DOI: 10.14814/phy2.15951] [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: 10/05/2023] [Revised: 01/23/2024] [Accepted: 01/31/2024] [Indexed: 02/21/2024] Open
Abstract
Patients with obstructive sleep apneas (OSA) do not complain from dyspnea during resting breathing. Placement of a mandibular advancement device (MAD) can lead to a sense of improved respiratory comfort ("pseudo-relief") ascribed to a habituation phenomenon. To substantiate this conjecture, we hypothesized that, in non-dyspneic awake OSA patients, respiratory-related electroencephalographic figures, abnormally present during awake resting breathing, would disappear or change in parallel with MAD-associated pseudo-relief. In 20 patients, we compared natural breathing and breathing with MAD on: breathing discomfort (transitional visual analog scale, VAS-2); upper airway mechanics, assessed in terms of pressure peak/time to peak (TTP) ratio respiratory-related electroencephalography (EEG) signatures, including slow event-related preinspiratory potentials; and a between-state discrimination based on continuous connectivity evaluation. MAD improved breathing and upper airway mechanics. The 8 patients in whom the EEG between-state discrimination was considered effective exhibited higher Peak/TTP improvement and transitional VAS ratings while wearing MAD than the 12 patients where it was not. These results support the notion of habituation to abnormal respiratory-related afferents in OSA patients and fuel the causative nature of the relationship between dyspnea, respiratory-related motor cortical activity and impaired upper airway mechanics in this setting.
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Affiliation(s)
- Rémi Valentin
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
- Hôpital Pitié‐Salpêtrière, Département R3S, Service des Pathologies du Sommeil (Département R3S)AP‐HP, Groupe Hospitalier Universitaire APHP‐Sorbonne UniversitéParisFrance
- Institut de Biomécanique Humaine Georges CharpakÉcole Nationale Supérieure des Arts et MétiersParisFrance
| | - Marie‐Cécile Niérat
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
| | - Nicolas Wattiez
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
| | - Olivier Jacq
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
| | - Maxens Decavèle
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
- Service de Médecine Intensive et Réanimation (Département R3S)Groupe Hospitalier Universitaire APHP‐Sorbonne UniversitéParisFrance
| | - Isabelle Arnulf
- Hôpital Pitié‐Salpêtrière, Département R3S, Service des Pathologies du Sommeil (Département R3S)AP‐HP, Groupe Hospitalier Universitaire APHP‐Sorbonne UniversitéParisFrance
- Paris Brain Institute (ICM)Sorbonne UniversitéParisFrance
| | - Thomas Similowski
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
- Hôpital, Pitié‐Salpêtrière, Département R3SAP‐HP, Groupe Hospitalier APHP‐Sorbonne UniversitéParisFrance
| | - Valérie Attali
- INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et CliniqueSorbonne UniversitéParisFrance
- Hôpital Pitié‐Salpêtrière, Département R3S, Service des Pathologies du Sommeil (Département R3S)AP‐HP, Groupe Hospitalier Universitaire APHP‐Sorbonne UniversitéParisFrance
- Institut de Biomécanique Humaine Georges CharpakÉcole Nationale Supérieure des Arts et MétiersParisFrance
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Hofmann JJ, Poulos VC, Zhou J, Sharma M, Parraga G, McIntosh MJ. Review of quantitative and functional lung imaging evidence of vaping-related lung injury. Front Med (Lausanne) 2024; 11:1285361. [PMID: 38327710 PMCID: PMC10847544 DOI: 10.3389/fmed.2024.1285361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
Introduction The pulmonary effects of e-cigarette use (or vaping) became a healthcare concern in 2019, following the rapid increase of e-cigarette-related or vaping-associated lung injury (EVALI) in young people, which resulted in the critical care admission of thousands of teenagers and young adults. Pulmonary functional imaging is well-positioned to provide information about the acute and chronic effects of vaping. We generated a systematic review to retrieve relevant imaging studies that describe the acute and chronic imaging findings that underly vaping-related lung structure-function abnormalities. Methods A systematic review was undertaken on June 13th, 2023 using PubMed to search for published manuscripts using the following criteria: [("Vaping" OR "e-cigarette" OR "EVALI") AND ("MRI" OR "CT" OR "Imaging")]. We included only studies involving human participants, vaping/e-cigarette use, and MRI, CT and/or PET. Results The search identified 445 manuscripts, of which 110 (668 unique participants) specifically mentioned MRI, PET or CT imaging in cases or retrospective case series of patients who vaped. This included 105 manuscripts specific to CT (626 participants), three manuscripts which mainly used MRI (23 participants), and two manuscripts which described PET findings (20 participants). Most studies were conducted in North America (n = 90), with the remaining studies conducted in Europe (n = 15), Asia (n = 4) and South America (n = 1). The vast majority of publications described case studies (n = 93) and a few described larger retrospective or prospective studies (n = 17). In e-cigarette users and patients with EVALI, key CT findings included ground-glass opacities, consolidations and subpleural sparing, MRI revealed abnormal ventilation, perfusion and ventilation/perfusion matching, while PET showed evidence of pulmonary inflammation. Discussion and conclusion Pulmonary structural and functional imaging abnormalities were common in patients with EVALI and in e-cigarette users with or without respiratory symptoms, which suggests that functional MRI may be helpful in the investigation of the pulmonary health effects associated with e-cigarette use.
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Affiliation(s)
| | | | - Jiahai Zhou
- Robarts Research Institute, London, ON, Canada
| | - Maksym Sharma
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
| | - Grace Parraga
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
- Department of Medical Imaging, Western University, London, ON, Canada
| | - Marrissa J. McIntosh
- Robarts Research Institute, London, ON, Canada
- Department of Medical Biophysics, London, ON, Canada
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24
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Zhang Z, Li H, Xiao S, Zhou Q, Liu S, Zhou X, Fan L. Hyperpolarized Gas Imaging in Lung Diseases: Functional and Artificial Intelligence Perspective. Acad Radiol 2024:S1076-6332(24)00014-X. [PMID: 38233260 DOI: 10.1016/j.acra.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
Pathophysiologic changes in lung diseases are often accompanied by changes in ventilation and gas exchange. Comprehensive evaluation of lung function cannot be obtained through chest X-ray and computed tomography. Proton-based lung MRI is particularly challenging due to low proton density within the lung tissue. In this review, we discuss an emerging technology--hyperpolarized gas MRI with inhaled 129Xe, which provides functional and microstructural information and has the potential as a clinical tool for detecting the early stage and progression of certain lung diseases. We review the hyperpolarized 129Xe MRI studies in patients with a range of pulmonary diseases, including chronic obstructive pulmonary disease, asthma, cystic fibrosis, pulmonary hypertension, radiation-induced lung injury and interstitial lung disease, and the applications of artificial intelligence were reviewed as well.
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Affiliation(s)
- Ziwei Zhang
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.)
| | - Haidong Li
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Sa Xiao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Qian Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.)
| | - Shiyuan Liu
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.)
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovative Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China (H.L., S.X., Q.Z., X.Z.); University of Chinese Academy of Sciences, Beijing 100049, China (H.L., S.X., X.Z.)
| | - Li Fan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.).
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25
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Klimeš F, Obert AJ, Scheller J, Wernz MM, Voskrebenzev A, Gutberlet M, Grimm R, Suhling H, Müller RA, Kaireit TF, Glandorf J, Moher Alsady T, Wacker F, Vogel-Claussen J. Comparison of Free-Breathing 3D Phase-Resolved Functional Lung (PREFUL) MRI With Dynamic 19 F Ventilation MRI in Patients With Obstructive Lung Disease and Healthy Volunteers. J Magn Reson Imaging 2024. [PMID: 38214459 DOI: 10.1002/jmri.29221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Non-contrast-enhanced 1 H magnetic resonance imaging (MRI) with full lung coverage shows promise for assessment of regional lung ventilation but a comparison with direct ventilation measurement using 19 F MRI is lacking. PURPOSE To compare ventilation parameters calculated using 3D phase-resolved functional lung (PREFUL) MRI with 19 F MRI. STUDY TYPE Prospective. POPULATION Fifteen patients with asthma, 14 patients with chronic obstructive lung disease, and 13 healthy volunteers. FIELD STRENGTH/SEQUENCE A 3D gradient-echo pulse sequence with golden-angle increment and stack-of-stars encoding at 1.5 T. ASSESSMENT All participants underwent 3D PREFUL MRI and 19 F MRI. For 3D PREFUL, static regional ventilation (RVent) and dynamic flow-volume cross-correlation metric (FVL-CM) were calculated. For both parameters, ventilation defect percentage (VDP) values and ventilation defect (VD) maps (including a combination of both parameters [VDPCombined ]) were determined. For 19 F MRI, images from eight consecutive breaths under volume-controlled inhalation of perfluoropropane were acquired. Time-to-fill (TTF) and wash-in (WI) parameters were extracted. For all 19 F parameters, a VD map was generated and the corresponding VDP values were calculated. STATISTICAL TESTS For all parameters, the relationship between the two techniques was assessed using a Spearman correlation (r). Differences between VDP values were compared using Bland-Altman analysis. For regional comparison of VD maps, spatial overlap and Sørensen-Dice coefficients were computed. RESULTS 3D PREFUL VDP values were significantly correlated to VDP measures by 19 F (r range: 0.59-0.70). For VDPRVent , no significant bias was observed with VDP of the third and fourth breath (bias range = -6.8:7.7%, P range = 0.25:0.30). For VDPFVL-CM , no significant bias was found with VDP values of fourth-eighth breaths (bias range = -2.0:12.5%, P range = 0.12:0.75). The overall spatial overlap of all VD maps increased with each breath, ranging from 61% to 81%, stabilizing at the fourth breath. DATA CONCLUSION 3D PREFUL MRI parameters showed moderate to strong correlation with 19 F MRI. Depending on the 3D PREFUL VD map, the best regional agreement was found to 19 F VD maps of third-fifth breath. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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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
| | - Arnd J Obert
- Department of Radiation Oncology, University Hospital Würzburg, Würzburg, Germany
| | - Julienne Scheller
- 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
| | - Marius M Wernz
- 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
| | - Hendrik Suhling
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research, Hanover, Germany
- Department of Respiratory Medicine, Hannover Medical School, Hanover, Germany
| | - Robin A 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
| | - Till F 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 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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26
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Klimeš F, Voskrebenzev A, Gutberlet M, Speth M, Grimm R, Dohna M, Hansen G, Wacker F, Renz DM, Dittrich AM, Vogel-Claussen J. Effect of CFTR modulator therapy with elexacaftor/tezacaftor/ivacaftor on pulmonary ventilation derived by 3D phase-resolved functional lung MRI in cystic fibrosis patients. Eur Radiol 2024; 34:80-89. [PMID: 37548691 PMCID: PMC10791851 DOI: 10.1007/s00330-023-09912-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/27/2023] [Accepted: 05/03/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVES To investigate whether 3D phase-resolved functional lung (PREFUL)-MRI parameters are suitable to measure response to elexacaftor/tezacaftor/ivacaftor (ETI) therapy and their association with clinical outcomes in cystic fibrosis (CF) patients. METHODS Twenty-three patients with CF (mean age: 21; age range: 14-46) underwent MRI examination at baseline and 8-16 weeks after initiation of ETI. Morphological and 3D PREFUL scans assessed pulmonary ventilation. Morphological images were evaluated using a semi-quantitative scoring system, and 3D PREFUL scans were evaluated by ventilation defect percentage (VDP) values derived from regional ventilation (RVent) and cross-correlation maps. Improved ventilation volume (IVV) normalized to body surface area (BSA) between baseline and post-treatment visit was computed. Forced expiratory volume in 1 second (FEV1) and mid-expiratory flow at 25% of forced vital capacity (MEF25), as well as lung clearance index (LCI), were assessed. Treatment effects were analyzed using paired Wilcoxon signed-rank tests. Treatment changes and post-treatment agreement between 3D PREFUL and clinical parameters were evaluated by Spearman's correlation. RESULTS After ETI therapy, all 3D PREFUL ventilation markers (all p < 0.0056) improved significantly, except for the mean RVent parameter. The BSA normalized IVVRVent was significantly correlated to relative treatment changes of MEF25 and mucus plugging score (all |r| > 0.48, all p < 0.0219). In post-treatment analyses, 3D PREFUL VDP values significantly correlated with spirometry, LCI, MRI global, morphology, and perfusion scores (all |r| > 0.44, all p < 0.0348). CONCLUSIONS 3D PREFUL MRI is a very promising tool to monitor CFTR modulator-induced regional dynamic ventilation changes in CF patients. CLINICAL RELEVANCE STATEMENT 3D PREFUL MRI is sensitive to monitor CFTR modulator-induced regional ventilation changes in CF patients. Improved ventilation volume correlates with the relative change of mucus plugging, suggesting that reduced endobronchial mucus is predominantly responsible for regional ventilation improvement. KEY POINTS • 3D PREFUL MRI-derived ventilation maps show significantly reduced ventilation defects in CF patients after ETI therapy. • Significant post-treatment correlations of 3D PREFUL ventilation measures especially with LCI, FEV1 %pred, and global MRI score suggest that 3D PREFUL MRI is sensitive to measure improved regional ventilation of the lung parenchyma due to reduced inflammation induced by ETI therapy in CF patients. • 3D PREFUL MRI-derived improved ventilation volume (IVV) correlated with MRI mucus plugging score changes suggesting that reduced endobronchial mucus is predominantly responsible for regional ventilation improvement 8-16 weeks after ETI therapy.
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Affiliation(s)
- Filip Klimeš
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Marcel Gutberlet
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Milan Speth
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Martha Dohna
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Gesine Hansen
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Diane Miriam Renz
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Anna-Maria Dittrich
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany.
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27
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Kornemann N, Klimeš F, Kern AL, Behrendt L, Voskrebenzev A, Gutberlet M, Wattjes MP, Wacker F, Vogel-Claussen J, Glandorf J. Cerebral microcirculatory pulse wave propagation and pulse wave amplitude mapping in retrospectively gated MRI. Sci Rep 2023; 13:21374. [PMID: 38049511 PMCID: PMC10696084 DOI: 10.1038/s41598-023-48439-0] [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: 05/08/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
To analyze cerebral arteriovenous pulse propagation and to generate phase-resolved pulse amplitude maps from a fast gradient-echo sequence offering flow-related enhancement (FREE). Brain MRI was performed using a balanced steady-state free precession sequence at 3T followed by retrospective k-space gating. The time interval of the pulse wave between anterior-, middle- and posterior cerebral artery territories and the superior sagittal sinus were calculated and compared between and older and younger groups within 24 healthy volunteers. Pulse amplitude maps were generated and compared to pseudo-Continuous Arterial Spin Labeling (pCASL) MRI maps by voxel-wise Pearson correlation, Sørensen-Dice maps and in regards to signal contrast. The arteriovenous delays between all vascular territories and the superior sagittal sinus were significantly shorter in the older age group (11 individuals, ≥ 31 years) ranging between 169 ± 112 and 246 ± 299 ms versus 286 ± 244 to 419 ± 299 ms in the younger age group (13 individuals) (P ≤ 0.04). The voxel-wise pulse wave amplitude values and perfusion-weighted pCASL values correlated significantly (Pearson-r = 0.33, P < 0.01). Mean Dice overlaps of high (gray) and low (white matter) regions were 73 ± 3% and 59 ± 5%. No differences in image contrast were seen in the whole brain and the white matter, but significantly higher mean contrast of 0.73 ± 0.23% in cortical gray matter in FREE-MRI compared to 0.52 ± 0.12% in pCASL-MRI (P = 0.01). The dynamic information of flow-related enhancement allows analysis of the cerebral pulse wave propagation potentially providing information about the (micro)circulation on a regional level. However, the pulse wave amplitude reveals weaknesses in comparison to true perfusion-weighting and could rather be used to calculate a pulsatility index.
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Affiliation(s)
- Norman Kornemann
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Filip Klimeš
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Agilo Luitger Kern
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Lea Behrendt
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Marcel Gutberlet
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Mike P Wattjes
- Institute for Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Julian Glandorf
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany.
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28
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Capaldi DPI, Konyer NB, Kjarsgaard M, Dvorkin-Gheva A, Dandurand RJ, Nair P, Svenningsen S. Specific Ventilation in Severe Asthma Evaluated with Noncontrast Tidal Breathing 1H MRI. Radiol Cardiothorac Imaging 2023; 5:e230054. [PMID: 38166343 PMCID: PMC11163249 DOI: 10.1148/ryct.230054] [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: 02/23/2023] [Revised: 08/21/2023] [Accepted: 11/01/2023] [Indexed: 01/04/2024]
Abstract
Purpose To determine if proton (1H) MRI-derived specific ventilation is responsive to bronchodilator (BD) therapy and associated with clinical biomarkers of type 2 airway inflammation and airways dysfunction in severe asthma. Materials and Methods In this prospective study, 27 participants with severe asthma (mean age, 52 years ± 9 [SD]; 17 female, 10 male) and seven healthy controls (mean age, 47 years ± 16; five female, two male), recruited between 2018 and 2021, underwent same-day spirometry, respiratory oscillometry, and tidal breathing 1H MRI. Participants with severe asthma underwent all assessments before and after BD therapy, and type 2 airway inflammatory biomarkers were determined (blood eosinophil count, sputum eosinophil percentage, sputum eosinophil-free granules, and fraction of exhaled nitric oxide) to generate a cumulative type 2 biomarker score. Specific ventilation was derived from tidal breathing 1H MRI and its response to BD therapy, and relationships with biomarkers of type 2 airway inflammation and airway dysfunction were evaluated. Results Mean MRI specific ventilation improved with BD inhalation (from 0.07 ± 0.04 to 0.11 ± 0.04, P < .001). Post-BD MRI specific ventilation (P = .046) and post-BD change in MRI specific ventilation (P = .006) were greater in participants with asthma with type 2 low biomarkers compared with participants with type 2 high biomarkers of airway inflammation. Post-BD change in MRI specific ventilation was correlated with change in forced expiratory volume in 1 second (r = 0.40, P = .04), resistance at 5 Hz (r = -0.50, P = .01), resistance at 19 Hz (r = -0.42, P = .01), reactance area (r = -0.54, P < .01), and reactance at 5 Hz (r = 0.48, P = .01). Conclusion Specific ventilation evaluated with tidal breathing 1H MRI was responsive to BD therapy and was associated with clinical biomarkers of airways disease in participants with severe asthma. Keywords: MRI, Severe Asthma, Ventilation, Type 2 Inflammation Supplemental material is available for this article. © RSNA, 2023 See also the commentary by Moore and Chandarana in this issue.
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Affiliation(s)
- Dante P. I. Capaldi
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Norman B. Konyer
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Melanie Kjarsgaard
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Anna Dvorkin-Gheva
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Ronald J. Dandurand
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Parameswaran Nair
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
| | - Sarah Svenningsen
- From the Department of Radiation Oncology, Division of Physics,
University of California San Francisco, San Francisco, Calif (D.P.I.C.);
Division of Respirology, Department of Medicine (A.D.G., P.N., S.S.), Imaging
Research Centre (N.B.K., S.S.), and Firestone Institute for Respiratory Health
(M.K., P.N., S.S.), St Joseph's Healthcare Hamilton, McMaster University,
50 Charlton Ave E, Hamilton, ON, Canada L8N 4A6; and Lakeshore General Hospital,
Montreal Chest Institute, Meakins-Christie Laboratories, and Oscillometry Unit
of the Centre for Innovative Medicine, McGill University Health Centre and
Research Institute, and McGill University, Montreal, Canada (R.J.D.)
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Wucherpfennig L, Kauczor HU, Eichinger M, Wielpütz MO. [Magnetic resonance imaging of the lung : State of the art]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:849-862. [PMID: 37851088 DOI: 10.1007/s00117-023-01229-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 10/19/2023]
Abstract
Due to the low proton density of the lung parenchyma and the rapid signal decay at the air-tissue interfaces, for a long time the lungs were difficult to access using magnetic resonance imaging (MRI); however, technical advances could address most of these obstacles. Pulmonary alterations associated with tissue proliferation ("plus pathologies"), can now be detected with high diagnostic accuracy because of the locally increased proton density. Compared to computed tomography (CT), MRI provides a comprehensive range of functional imaging procedures (respiratory mechanics, perfusion and ventilation). In addition, as a radiation-free noninvasive examination modality, it enables repeated examinations for assessment of the course or monitoring of the effects of treatment, even in children. This article discusses the technical aspects, gives suggestions for protocols and explains the role of MRI of the lungs in the routine assessment of various diseases.
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Affiliation(s)
- Lena Wucherpfennig
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Hans-Ulrich Kauczor
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Monika Eichinger
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Mark O Wielpütz
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland.
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland.
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Tan F, Zhu X, Chan M, Deveshwar N, Willmering MM, Lustig M, Larson PEZ. Pulmonary Ventilation Analysis Using 1H Ultra-Short Echo Time (UTE) Lung MRI: A Reproducibility Study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.22.563196. [PMID: 37961357 PMCID: PMC10634712 DOI: 10.1101/2023.10.22.563196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Purpose To evaluate methods for quantification of pulmonary ventilation with ultrashort echo time (UTE) MRI. Methods We performed a reproducibility study, acquiring two free-breathing 1H UTE lung MRIs on the same day for six healthy volunteers. The 1) 3D + t cyclic b-spline and 2) symmetric image normalization (SyN) methods for image registration were applied after respiratory phase-resolved image reconstruction. Ventilation maps were calculated using 1) Jacobian determinant of the deformation fields minus one, termed regional ventilation, and 2) intensity percentage difference between the registered and fixed image, termed specific ventilation. We compared the reproducibility of all four method combinations via statistical analysis. Results Split violin plots and Bland-Altman plots are shown for whole lungs and lung sections. The cyclic b-spline registration and Jacobian determinant regional ventilation quantification provide total ventilation volumes that match the segmentation tidal volume, smooth and uniform ventilation maps. The cyclic b-spline registration and specific ventilation combination yields the smallest standard deviation in the Bland-Altman plot. Conclusion Cyclic registration performs better than SyN for respiratory phase-resolved 1H UTE MRI ventilation quantification. Regional ventilation correlates better with segmentation lung volume, while specific ventilation is more reproducible.
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Affiliation(s)
- Fei Tan
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA
| | - Xucheng Zhu
- Work done at UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA, Currently at GE Healthcare, CA
| | - Marilynn Chan
- Pediatric Pulmonology, Department of Pediatrics, University of California, San Francisco, CA
| | - Nikhil Deveshwar
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA
| | - Matthew M Willmering
- Center for Pulmonary Imaging Research, Divisions of Pulmonary Medicine and Radiology, Cincinnati Children's Hospital Medical Center. Cincinnati, OH
| | - Michael Lustig
- Electrical Engineering and Computer Sciences, University of California, Berkeley, CA
| | - Peder E Z Larson
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA
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Xu P, Meersmann T, Wang J, Wang C. Review of oxygen-enhanced lung mri: Pulse sequences for image acquisition and T 1 measurement. Med Phys 2023; 50:5987-6007. [PMID: 37345214 DOI: 10.1002/mp.16553] [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: 08/17/2021] [Revised: 03/23/2023] [Accepted: 05/16/2023] [Indexed: 06/23/2023] Open
Abstract
Oxygen-enhanced MR imaging (OE-MRI) is a special proton imaging technique that can be performed without modifying the scanner hardware. Many fundamental studies have been conducted following the initial reporting of this technique in 1996, illustrating the high potential for its clinical application. This review aims to summarise and analyse current pulse sequences and T1 measurement methods for OE-MRI, including fundamental theories, existing pulse sequences applied to OE-MRI acquisition and T1 mapping. Wash-in and wash-out time identify lung function and are sensitive to ventilation; thus, dynamic OE-MRI is also discussed in this review. We compare OE-MRI with the primary competitive technique, hyperpolarised gas MRI. Finally, an overview of lower-field applications of OE-MRI is highlighted, as relatively recent publications demonstrated positive results. Lower-field OE-MRI, which is lower than 1.5 T, could be an alternative modality for detecting lung diseases. This educational review is aimed at researchers who want a quick summary of the steps needed to perform pulmonary OE-MRI with a particular focus on sequence design, settings, and quantification methods.
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Affiliation(s)
- Pengfei Xu
- Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
| | - Thomas Meersmann
- Sir Peter Mansfield Magnetic Imaging Centre, University of Nottingham, Nottingham, UK
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, Ningbo, China
| | - Jing Wang
- Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, Ningbo, China
| | - Chengbo Wang
- Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, Ningbo, China
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32
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Lacharie M, Villa A, Milidonis X, Hasaneen H, Chiribiri A, Benedetti G. Role of pulmonary perfusion magnetic resonance imaging for the diagnosis of pulmonary hypertension: A review. World J Radiol 2023; 15:256-273. [PMID: 37823020 PMCID: PMC10563854 DOI: 10.4329/wjr.v15.i9.256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/16/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023] Open
Abstract
Among five types of pulmonary hypertension, chronic thromboembolic pulmonary hypertension (CTEPH) is the only curable form, but prompt and accurate diagnosis can be challenging. Computed tomography and nuclear medicine-based techniques are standard imaging modalities to non-invasively diagnose CTEPH, however these are limited by radiation exposure, subjective qualitative bias, and lack of cardiac functional assessment. This review aims to assess the methodology, diagnostic accuracy of pulmonary perfusion imaging in the current literature and discuss its advantages, limitations and future research scope.
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Affiliation(s)
- Miriam Lacharie
- Oxford Centre of Magnetic Resonance Imaging, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Adriana Villa
- Department of Diagnostic and Interventional Radiology, German Oncology Centre, Limassol 4108, Cyprus
| | - Xenios Milidonis
- Deep Camera MRG, CYENS Centre of Excellence, Nicosia, Cyprus, Nicosia 1016, Cyprus
| | - Hadeer Hasaneen
- School of Biomedical Engineering & Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, Kings Coll London, Div Imaging Sci, St Thomas Hospital, London WC2R 2LS, United Kingdom
| | - Giulia Benedetti
- Department of Cardiovascular Imaging and Biomedical Engineering, King’s College London, London WC2R 2LS, United Kingdom
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Duan J, Xie S, Sun H, An J, Li H, Li L, Grimm R, Voskrebenzev A, Vogel-Claussen J. Diagnostic accuracy of perfusion-weighted phase-resolved functional lung magnetic resonance imaging in patients with chronic pulmonary embolism. Front Med (Lausanne) 2023; 10:1256925. [PMID: 37822465 PMCID: PMC10562573 DOI: 10.3389/fmed.2023.1256925] [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: 07/11/2023] [Accepted: 09/11/2023] [Indexed: 10/13/2023] Open
Abstract
Purpose This study aimed to evaluate the diagnostic performance of perfusion-weighted phase-resolved functional lung (PW-PREFUL) magnetic resonance imaging (MRI) in patients with chronic pulmonary embolism (CPE). Materials and methods This study included 86 patients with suspected chronic thromboembolic pulmonary hypertension (CTEPH), who underwent PREFUL MRI and ventilation/perfusion (V/Q) single-photon emission computed tomography/computed tomography (SPECT/CT). PREFUL MRI was performed at 1.5 T using a balanced steady-state free precession sequence during free breathing. Color-coded PW images and quantitative parameters were obtained by postprocessing. Meanwhile, V/Q SPECT/CT imaging was performed as a reference standard. Hypoperfused areas in the lungs were scored for each lobe and segment using V/Q SPECT/CT images and PW-PREFUL MR images, respectively. Normalized perfusion (QN) and perfusion defect percentage (QDP) were calculated for all slices. For intra- and interobserver variability, the MRI images were analyzed 2 months after the first analysis by the same radiologist and another radiologist (11 years of lung MRI experience) blinded to the results of the first reader. Results Of the 86 enrolled patients, 77 met the inclusion criteria (36 diagnosed with CPE using V/Q SPECT/CT and 41 diagnosed with non-CPE etiology). For the PW-PREFUL MRI, the sensitivity, specificity, accuracy, and positive and negative predictive values for the diagnosis of CPE were 97, 95, 96, 95, and 98% at the patient level; 91, 94, 93, 91, and 94% at the lobe level, and 85, 94, 92, 88, and 94% at the segment level, respectively. The detection of segmental and subsegmental hypoperfusion using PW-PREFUL MRI revealed a moderate agreement with V/Q SPECT/CT (κ = 0.65; 95% confidence interval: 0.61-0.68). The quantitative results indicated that the QN was lower in the CPE group than in the non-CPE group [median score (interquartile range, IQR) 6.3 (2.8-9.2) vs. 13.0 (8.8-16.7), p < 0.001], and the QDP was higher [median score (IQR) 33.8 (15.7-51.7) vs. 2.2 (1.4-2.9), p < 0.001]. Conclusion PREFUL MRI could be an alternative test to detect CPE without requiring breath-hold, contrast agents, or ionizing radiation.
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Affiliation(s)
- Jianghui Duan
- Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Sheng Xie
- Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Hongliang Sun
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Jing An
- DL Department, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Huan Li
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ling Li
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Andreas Voskrebenzev
- Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Jens Vogel-Claussen
- Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
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Tan F, Zhu X, Chan M, Zapala MA, Vasanawala SS, Ong F, Lustig M, Larson PEZ. Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI. Magn Reson Med 2023; 90:1101-1113. [PMID: 37158318 PMCID: PMC10501714 DOI: 10.1002/mrm.29703] [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: 12/21/2022] [Revised: 03/23/2023] [Accepted: 04/25/2023] [Indexed: 05/10/2023]
Abstract
PURPOSE Three-dimensional UTE MRI has shown the ability to provide simultaneous structural and functional lung imaging, but it is limited by respiratory motion and relatively low lung parenchyma SNR. The purpose of this paper is to improve this imaging by using a respiratory phase-resolved reconstruction approach, named motion-compensated low-rank reconstruction (MoCoLoR), which directly incorporates motion compensation into a low-rank constrained reconstruction model for highly efficient use of the acquired data. THEORY AND METHODS The MoCoLoR reconstruction is formulated as an optimization problem that includes a low-rank constraint using estimated motion fields to reduce the rank, optimizing over both the motion fields and reconstructed images. The proposed reconstruction along with XD and motion state-weighted motion-compensation (MostMoCo) methods were applied to 18 lung MRI scans of pediatric and young adult patients. The data sets were acquired under free-breathing and without sedation with 3D radial UTE sequences in approximately 5 min. After reconstruction, they went through ventilation analyses. Performance across reconstruction regularization and motion-state parameters were also investigated. RESULTS The in vivo experiments results showed that MoCoLoR made efficient use of the data, provided higher apparent SNR compared with state-of-the-art XD reconstruction and MostMoCo reconstructions, and yielded high-quality respiratory phase-resolved images for ventilation mapping. The method was effective across the range of patients scanned. CONCLUSION The motion-compensated low-rank regularized reconstruction approach makes efficient use of acquired data and can improve simultaneous structural and functional lung imaging with 3D-UTE MRI. It enables the scanning of pediatric patients under free-breathing and without sedation.
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Affiliation(s)
- Fei Tan
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Xucheng Zhu
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
- GE Healthcare, Sunnyvale, California, USA
| | - Marilynn Chan
- Pediatric Pulmonology, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Matthew A Zapala
- Pediatric Radiology, Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Shreyas S Vasanawala
- Pediatric Radiology, Department of Radiology, Stanford University, Stanford, California, USA
| | - Frank Ong
- Pediatric Radiology, Department of Radiology, Stanford University, Stanford, California, USA
- Roblox, San Mateo, California, USA
- Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, USA
| | - Michael Lustig
- Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, USA
| | - Peder E Z Larson
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
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Bayat S, Wild J, Winkler T. Lung functional imaging. Breathe (Sheff) 2023; 19:220272. [PMID: 38020338 PMCID: PMC10644108 DOI: 10.1183/20734735.0272-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/08/2023] [Indexed: 12/01/2023] Open
Abstract
Pulmonary functional imaging modalities such as computed tomography, magnetic resonance imaging and nuclear imaging can quantitatively assess regional lung functional parameters and their distributions. These include ventilation, perfusion, gas exchange at the microvascular level and biomechanical properties, among other variables. This review describes the rationale, strengths and limitations of the various imaging modalities employed for lung functional imaging. It also aims to explain some of the most commonly measured parameters of regional lung function. A brief review of evidence on the role and utility of lung functional imaging in early diagnosis, accurate lung functional characterisation, disease phenotyping and advancing the understanding of disease mechanisms in major respiratory disorders is provided.
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Affiliation(s)
- Sam Bayat
- Department of Pulmonology and Physiology, CHU Grenoble Alpes, Grenoble, France
- Univ. Grenoble Alpes, STROBE Laboratory, INSERM UA07, Grenoble, France
| | - Jim Wild
- POLARIS, Imaging Group, Department of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Insigneo Institute, University of Sheffield, Sheffield, UK
| | - Tilo Winkler
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Glandorf J, Brunzema F, Klimeš F, Behrendt L, Voskrebenzev A, Gutberlet M, Wernz MM, Grimm R, Wacker F, Vogel-Claussen J. Influence of gadolinium, field-strength and sequence type on quantified perfusion values in phase-resolved functional lung MRI. PLoS One 2023; 18:e0288744. [PMID: 37527251 PMCID: PMC10393130 DOI: 10.1371/journal.pone.0288744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 07/04/2023] [Indexed: 08/03/2023] Open
Abstract
PURPOSE The purpose of this study is to evaluate the influences of gadolinium-based contrast agents, field-strength and different sequences on perfusion quantification in Phase-Resolved Functional Lung (PREFUL) MRI. MATERIALS AND METHODS Four cohorts of different subjects were imaged to analyze influences on the quantified perfusion maps: 1) at baseline and after 2 weeks to obtain the reproducibility (26 COPD patients), 2) before and after the administration of gadobutrol (11 COPD, 2 PAH and 1 asthma), 3) at 1.5T and 3T (12 healthy, 4 CF), and 4) with different acquisition sequences spoiled gradient echo (SPGR) and balanced steady-state free precession (bSSFP) (11 COPD, 7 healthy). Wilcoxon-signed rank test, Bland-Altman plots, voxelwise Pearson correlations, normalized histogram analyses with skewness and kurtosis and two-sample Kolmogorov-Smirnov tests were performed. P value ≤ 0.05 was considered statistically significant. RESULTS In all cohorts, linear correlations of the perfusion values were significant with correlation coefficients of at least 0.7 considering the entire lung (P<0.01). The reproducibility cohort revealed stable results with a similar distribution. In the gadolinium cohort, the quantified perfusion increased significantly (P<0.01), and no significant change was detected in the histogram analysis. In the field-strength cohort, no significant change of the quantified perfusion was shown, but a significant increase of skewness and kurtosis at 3T (P = 0.01). In the sequence cohort, the quantified perfusion decreased significantly in the bSSFP sequence (P<0.01) together with a significant decrease of skewness and kurtosis (P = 0.02). The field-strength and sequence cohorts had differing probability distribution in the two-sample Kolmogorov-Smirnov tests. CONCLUSION We observed a high susceptibility of perfusion quantification to gadolinium, field-strength or MRI sequence leading to distortion and deviation of the perfusion values. Future multicenter studies should strictly adhere to the identical study protocols to generate comparable results.
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Affiliation(s)
- Julian Glandorf
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Fynn Brunzema
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Filip Klimeš
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Lea Behrendt
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Marcel Gutberlet
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Marius M Wernz
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
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Bergmann LL, Ackman JB, Starekova J, Moeller A, Reeder S, Nagle SK, Schiebler ML. MR Angiography of Pulmonary Vasculature. Magn Reson Imaging Clin N Am 2023; 31:475-491. [PMID: 37414473 DOI: 10.1016/j.mric.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Pulmonary MR angiography (MRA) is a useful alternative to computed tomographic angiography (CTA) for the study of the pulmonary vasculature. For pulmonary hypertension and partial anomalous pulmonary venous return, a cardiac MR imaging and the pulmonary MRA are useful for flow quantification and planning treatment. For the diagnosis of pulmonary embolism (PE), MRA-PE has been shown to have non-inferior outcomes at 6 months when compared with CTA-PE. Over the last 15 years, pulmonary MRA has become a routine and reliable examination for the workup of pulmonary hypertension and the primary diagnosis of PE at the University of Wisconsin.
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Affiliation(s)
- Liisa L Bergmann
- Department of Radiology, University of Kentucky College of Medicine, 800 Rose Street, HX332E, Lexington, KY 40536-0293, USA; Department of Medicine, University of Kentucky College of Medicine, 800 Rose Street, HX332E, Lexington, KY 40536-0293, USA.
| | - Jeanne B Ackman
- Massachusetts General Hospital, Department of Radiology, Division of Thoracic Imaging and Intervention Austin Building 202, 55 Fruit Street, Boston, MA 02114, USA
| | - Jitka Starekova
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53705, USA
| | - Alexander Moeller
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53705, USA
| | - Scott Reeder
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53705, USA
| | - Scott K Nagle
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53705, USA
| | - Mark L Schiebler
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53705, USA.
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Astley JR, Biancardi AM, Marshall H, Smith LJ, Hughes PJC, Collier GJ, Saunders LC, Norquay G, Tofan MM, Hatton MQ, Hughes R, Wild JM, Tahir BA. PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation. Sci Rep 2023; 13:11273. [PMID: 37438406 DOI: 10.1038/s41598-023-38105-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 07/03/2023] [Indexed: 07/14/2023] Open
Abstract
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adoption. Physiologically-informed techniques to map proton (1H)-MRI ventilation have been proposed. These approaches have demonstrated moderate correlation with hyperpolarized gas MRI. Recently, deep learning (DL) has been used for image synthesis applications, including functional lung image synthesis. Here, we propose a 3D multi-channel convolutional neural network that employs physiologically-informed ventilation mapping and multi-inflation structural 1H-MRI to synthesize 3D ventilation surrogates (PhysVENeT). The dataset comprised paired inspiratory and expiratory 1H-MRI scans and corresponding hyperpolarized gas MRI scans from 170 participants with various pulmonary pathologies. We performed fivefold cross-validation on 150 of these participants and used 20 participants with a previously unseen pathology (post COVID-19) for external validation. Synthetic ventilation surrogates were evaluated using voxel-wise correlation and structural similarity metrics; the proposed PhysVENeT framework significantly outperformed conventional 1H-MRI ventilation mapping and other DL approaches which did not utilize structural imaging and ventilation mapping. PhysVENeT can accurately reflect ventilation defects and exhibits minimal overfitting on external validation data compared to DL approaches that do not integrate physiologically-informed mapping.
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Affiliation(s)
- Joshua R Astley
- Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Alberto M Biancardi
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Helen Marshall
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Laurie J Smith
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Paul J C Hughes
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Guilhem J Collier
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Laura C Saunders
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Graham Norquay
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Malina-Maria Tofan
- Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
| | - Matthew Q Hatton
- Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
| | - Rod Hughes
- Early Development Respiratory Medicine, AstraZeneca, Cambridge, UK
| | - Jim M Wild
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
- Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK
| | - Bilal A Tahir
- Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
- POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
- Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK.
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Chung SH, Huynh KM, Goralski JL, Chen Y, Yap PT, Ceppe AS, Powell MZ, Donaldson SH, Lee YZ. Feasibility of free-breathing 19 F MRI image acquisition to characterize ventilation defects in CF and healthy volunteers at wash-in. Magn Reson Med 2023; 90:79-89. [PMID: 36912481 PMCID: PMC10149612 DOI: 10.1002/mrm.29630] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/27/2023] [Accepted: 02/15/2023] [Indexed: 03/14/2023]
Abstract
PURPOSE To explore the feasibility of measuring ventilation defect percentage (VDP) using 19 F MRI during free-breathing wash-in of fluorinated gas mixture with postacquisition denoising and to compare these results with those obtained through traditional Cartesian breath-hold acquisitions. METHODS Eight adults with cystic fibrosis and 5 healthy volunteers completed a single MR session on a Siemens 3T Prisma. 1 H Ultrashort-TE MRI sequences were used for registration and masking, and ventilation images with 19 F MRI were obtained while the subjects breathed a normoxic mixture of 79% perfluoropropane and 21% oxygen (O2 ). 19 F MRI was performed during breath holds and while free breathing with one overlapping spiral scan at breath hold for VDP value comparison. The 19 F spiral data were denoised using a low-rank matrix recovery approach. RESULTS VDP measured using 19 F VIBE and 19 F spiral images were highly correlated (r = 0.84) at 10 wash-in breaths. Second-breath VDPs were also highly correlated (r = 0.88). Denoising greatly increased SNR (pre-denoising spiral SNR, 2.46 ± 0.21; post-denoising spiral SNR, 33.91 ± 6.12; and breath-hold SNR, 17.52 ± 2.08). CONCLUSION Free-breathing 19 F lung MRI VDP analysis was feasible and highly correlated with breath-hold measurements. Free-breathing methods are expected to increase patient comfort and extend ventilation MRI use to patients who are unable to perform breath holds, including younger subjects and those with more severe lung disease.
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Affiliation(s)
- Sang Hun Chung
- Department of Biomedical Engineering, University of North Carolina, Chapel Hill, USA
| | - Khoi Minh Huynh
- Department of Biomedical Engineering, University of North Carolina, Chapel Hill, USA
| | - Jennifer L. Goralski
- Division of Pulmonary and Critical Care Medicine, UNC-Chapel Hill
- Marsico Lung Institute/UNC Cystic Fibrosis Center, UNC-Chapel Hill
- Division of Pediatric Pulmonology, UNC-Chapel Hill
| | - Yong Chen
- Department of Radiology, Case Western Reserve University, Cleveland, USA
| | - Pew-Thian Yap
- Department of Radiology and Biomedical Research Imaging Center, UNC-Chapel Hill
| | - Agathe S. Ceppe
- Division of Pulmonary and Critical Care Medicine, UNC-Chapel Hill
- Marsico Lung Institute/UNC Cystic Fibrosis Center, UNC-Chapel Hill
| | | | - Scott H. Donaldson
- Division of Pulmonary and Critical Care Medicine, UNC-Chapel Hill
- Marsico Lung Institute/UNC Cystic Fibrosis Center, UNC-Chapel Hill
| | - Yueh Z. Lee
- Division of Pulmonary and Critical Care Medicine, UNC-Chapel Hill
- Department of Radiology and Biomedical Research Imaging Center, UNC-Chapel Hill
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Zanette B, Greer MLC, Moraes TJ, Ratjen F, Santyr G. The argument for utilising magnetic resonance imaging as a tool for monitoring lung structure and function in pediatric patients. Expert Rev Respir Med 2023; 17:527-538. [PMID: 37491192 DOI: 10.1080/17476348.2023.2241355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 07/27/2023]
Abstract
INTRODUCTION Although historically challenging to perform in the lung, technological advancements have made Magnetic Resonance Imaging (MRI) increasingly applicable for pediatric pulmonary imaging. Furthermore, a wide array of functional imaging techniques has become available that may be leveraged alongside structural imaging for increasingly sensitive biomarkers, or as outcome measures in the evaluation of novel therapies. AREAS COVERED In this review, recent technical advancements and modern methodologies for structural and functional lung MRI are described. These include ultrashort echo time (UTE) MRI, free-breathing contrast agent-free, functional lung MRI, and hyperpolarized gas MRI, amongst other techniques. Specific examples of the application of these methods in children are provided, principally drawn from recent research in asthma, bronchopulmonary dysplasia, and cystic fibrosis. EXPERT OPINION Pediatric lung MRI is rapidly growing, and is well poised for clinical utilization, as well as continued research into early disease detection, disease processes, and novel treatments. Structure/function complementarity makes MRI especially attractive as a tool for increased adoption in the evaluation of pediatric lung disease. Looking toward the future, novel technologies, such as low-field MRI and artificial intelligence, mitigate some of the traditional drawbacks of lung MRI and will aid in improving access to MRI in general, potentially spurring increased adoption and demand for pulmonary MRI in children.
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Affiliation(s)
- Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mary-Louise C Greer
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Theo J Moraes
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatrics, Hospital for Sick Children, Toronto, ON, Canada
| | - Felix Ratjen
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Giles Santyr
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
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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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Metz C, Weng AM, Heidenreich JF, Slawig A, Benkert T, Köstler H, Veldhoen S. Reproducibility of non-contrast enhanced multi breath-hold ultrashort echo time functional lung MRI. Magn Reson Imaging 2023; 98:149-154. [PMID: 36681313 DOI: 10.1016/j.mri.2023.01.020] [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: 08/15/2022] [Revised: 11/14/2022] [Accepted: 01/14/2023] [Indexed: 01/20/2023]
Abstract
PURPOSE To evaluate the intraindividual reproducibility of functional lung imaging using non-contrast enhanced multi breath-hold 3D-UTE MRI. METHODS Ten healthy volunteers underwent non-contrast enhanced 3D-UTE MRI at three time points for same-day and different-day measurements employing a stack-of-spirals trajectory at 3 T. At each time point, inspiratory and expiratory breathing states were acquired for tidal and deep breathing, each within a single breath-hold. For functional image analysis, fractional ventilation (FV) was calculated pixelwise after image registration from the MR signal change. To decouple FV from breathing depth, the individual lung volume was used for volume adjustment (rFV). Reproducibility evaluation was performed in eight lung segments. Statistical analyses included two way mixed intraclass correlation (ICC), sign-test, Friedman-test and modified Bland-Altman analyses. RESULTS FV from tidal breathing showed an ICC of 0.81, a bias of 1.3% and an interval of confidence (CI) ranging from -67.1 to 69.6%. FV from deep breathing was higher reproducible with an ICC of 0.92 (bias, -0.2%; CI, -34.2 to 33.7%). Following volume adjustment, reproducibility of rFV for tidal breathing improved (ICC, 0,86; bias, 2.0%; CI, -34.3 to 38.3%), whereas it did not bear significant benefits for deep breathing (ICC, 0.89; bias, 2.8%; CI, -24.9 to 30.5%). Reproducibility was independent from the examination day. CONCLUSION Non-contrast-enhanced multi breath-hold 3D-UTE MRI allows for highly reproducible ventilation imaging.
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Affiliation(s)
- C Metz
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany.
| | - A M Weng
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - J F Heidenreich
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - A Slawig
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - T Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - H Köstler
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - S Veldhoen
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
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Munidasa S, Zanette B, Couch M, Grimm R, Seethamraju R, Dumas MP, Wee W, Au J, Braganza S, Li D, Woods J, Ratjen F, Santyr G. Inter- and intravisit repeatability of free-breathing MRI in pediatric cystic fibrosis lung disease. Magn Reson Med 2023; 89:2048-2061. [PMID: 36576212 DOI: 10.1002/mrm.29566] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/09/2022] [Accepted: 12/10/2022] [Indexed: 12/29/2022]
Abstract
PURPOSE The purpose of this study is to assess the intra- and interscan repeatability of free-breathing phase-resolved functional lung (PREFUL) MRI in stable pediatric cystic fibrosis (CF) lung disease in comparison to static breath-hold hyperpolarized 129-xenon MRI (Xe-MRI) and pulmonary function tests. METHODS Free-breathing 1-hydrogen MRI and Xe-MRI were acquired from 15 stable pediatric CF patients and seven healthy age-matched participants on two visits, 1 month apart. Same-visit MRI scans were also performed on a subgroup of the CF patients. Following the PREFUL algorithm, regional ventilation (RVent) and regional flow volume loop cross-correlation maps were determined from the free-breathing data. Ventilation defect percentage (VDP) was determined from RVent maps (VDPRVent ), regional flow volume loop cross-correlation maps (VDPCC ), VDPRVent ∪ VDPCC , and multi-slice Xe-MRI. Repeatability was evaluated using Bland-Altman analysis, coefficient of repeatability (CR), and intraclass correlation. RESULTS Minimal bias and no significant differences were reported for all PREFUL MRI and Xe-MRI VDP parameters between intra- and intervisits (all P > 0.05). Repeatability of VDPRVent , VDPCC , VDPRVent ∪ VDPCC , and multi-slice Xe-MRI were lower between the two-visit scans (CR = 14.81%, 15.36%, 16.19%, and 9.32%, respectively) in comparison to the same-day scans (CR = 3.38%, 2.90%, 1.90%, and 3.92%, respectively). pulmonary function tests showed high interscan repeatability relative to PREFUL MRI and Xe-MRI. CONCLUSION PREFUL MRI, similar to Xe-MRI, showed high intravisit repeatability but moderate intervisit repeatability in CF, which may be due to inherent disease instability, even in stable patients. Thus, PREFUL MRI may be considered a suitable outcome measure for future treatment response studies.
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Affiliation(s)
- Samal Munidasa
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marcus Couch
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Siemens Healthcare Limited, Montreal, Quebec, Canada
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Ravi Seethamraju
- MR Collaborations North East, Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Marie-Pier Dumas
- Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Wallace Wee
- Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jacky Au
- Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sharon Braganza
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Daniel Li
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jason Woods
- Center for Pulmonary Imaging Research, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - 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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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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45
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Klaar R, Rabe M, Gaass T, Schneider MJ, Benlala I, Eze C, Corradini S, Belka C, Landry G, Kurz C, Dinkel J. Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study. Radiat Oncol 2023; 18:58. [PMID: 37013541 PMCID: PMC10069152 DOI: 10.1186/s13014-023-02244-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/07/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Hybrid devices that combine radiation therapy and MR-imaging have been introduced in the clinical routine for the treatment of lung cancer. This opened up not only possibilities in terms of accurate tumor tracking, dose delivery and adapted treatment planning, but also functional lung imaging. The aim of this study was to show the feasibility of Non-uniform Fourier Decomposition (NuFD) MRI at a 0.35 T MR-Linac as a potential treatment response assessment tool, and propose two signal normalization strategies for enhancing the reproducibility of the results. METHODS Ten healthy volunteers (median age 28 ± 8 years, five female, five male) were repeatedly scanned at a 0.35 T MR-Linac using an optimized 2D+t balanced steady-state free precession (bSSFP) sequence for two coronal slice positions. Image series were acquired in normal free breathing with breaks inside and outside the scanner as well as deep and shallow breathing. Ventilation- and perfusion-weighted maps were generated for each image series using NuFD. For intra-volunteer ventilation map reproducibility, a normalization factor was defined based on the linear correlation of the ventilation signal and diaphragm position of each scan as well as the diaphragm motion amplitude of a reference scan. This allowed for the correction of signal dependency on the diaphragm motion amplitude, which varies with breathing patterns. The second strategy, which can be used for ventilation and perfusion, eliminates the dependency on the signal amplitude by normalizing the ventilation/perfusion maps with the average ventilation/perfusion signal within a selected region-of-interest (ROI). The position and size dependency of this ROI was analyzed. To evaluate the performance of both approaches, the normalized ventilation/perfusion-weighted maps were compared and the deviation of the mean ventilation/perfusion signal from the reference was calculated for each scan. Wilcoxon signed-rank tests were performed to test whether the normalization methods can significantly improve the reproducibility of the ventilation/perfusion maps. RESULTS The ventilation- and perfusion-weighted maps generated with the NuFD algorithm demonstrated a mostly homogenous distribution of signal intensity as expected for healthy volunteers regardless of the breathing maneuver and slice position. Evaluation of the ROI's size and position dependency showed small differences in the performance. Applying both normalization strategies improved the reproducibility of the ventilation by reducing the median deviation of all scans to 9.1%, 5.7% and 8.6% for the diaphragm-based, the best and worst performing ROI-based normalization, respectively, compared to 29.5% for the non-normalized scans. The significance of this improvement was confirmed by the Wilcoxon signed rank test with [Formula: see text] at [Formula: see text]. A comparison of the techniques against each other revealed a significant difference in the performance between best ROI-based normalization and worst ROI ([Formula: see text]) and between best ROI-based normalization and scaling factor ([Formula: see text]), but not between scaling factor and worst ROI ([Formula: see text]). Using the ROI-based approach for the perfusion-maps, the uncorrected deviation of 10.2% was reduced to 5.3%, which was shown to be significant ([Formula: see text]). CONCLUSIONS Using NuFD for non-contrast enhanced functional lung MRI at a 0.35 T MR-Linac is feasible and produces plausible ventilation- and perfusion-weighted maps for volunteers without history of chronic pulmonary diseases utilizing different breathing patterns. The reproducibility of the results in repeated scans significantly benefits from the introduction of the two normalization strategies, making NuFD a potential candidate for fast and robust early treatment response assessment of lung cancer patients during MR-guided radiotherapy.
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Affiliation(s)
- Rabea Klaar
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Moritz Rabe
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Thomas Gaass
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Moritz J. Schneider
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Ilyes Benlala
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Univ. Bordeaux, Centre de Recherche Cardio-thoracique de Bordeaux, F-33600 Pessac, France
- CHU Bordeaux, Service d’Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d’Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, F-33600 Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-thoracique de Bordeaux, F-33600 Pessac, France
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Munich, Germany
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Christopher Kurz
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Julien Dinkel
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
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Ilicak E, Ozdemir S, Zapp J, Schad LR, Zöllner FG. Dynamic mode decomposition of dynamic MRI for assessment of pulmonary ventilation and perfusion. Magn Reson Med 2023; 90:761-769. [PMID: 36989180 DOI: 10.1002/mrm.29656] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/03/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023]
Abstract
PURPOSE To introduce dynamic mode decomposition (DMD) as a robust alternative for the assessment of pulmonary functional information from dynamic non-contrast-enhanced acquisitions. METHODS Pulmonary fractional ventilation and normalized perfusion maps were obtained using DMD from simulated phantoms as well as in vivo dynamic acquisitions of healthy volunteers at 1.5T. The performance of DMD was compared with conventional Fourier decomposition (FD) and matrix pencil (MP) methods in estimating functional map values. The proposed method was evaluated based on estimated signal amplitude in functional maps across varying number of measurements. RESULTS Quantitative assessments performed on phantoms and in vivo measurements indicate that DMD is capable of successfully obtaining pulmonary functional maps. Specifically, compared to FD and MP methods, DMD is able to reduce variations in estimated amplitudes across different number of measurements. This improvement is evident in the fractional ventilation and normalized perfusion maps obtain from phantom simulations with frequency variations and noise, as well as in the maps obtained from in vivo measurements. CONCLUSIONS A robust method for accurately estimating pulmonary ventilation and perfusion related signal changes in dynamic acquisitions is presented. The proposed method uses DMD to obtain functional maps reliably, while reducing amplitude variations caused by differences in number of measurements.
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Affiliation(s)
- Efe Ilicak
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Safa Ozdemir
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jascha Zapp
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank G Zöllner
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Klimeš F, Voskrebenzev A, Gutberlet M, Grimm R, Wacker F, Vogel-Claussen J. Evaluation of image registration algorithms for 3D phase-resolved functional lung ventilation magnetic resonance imaging in healthy volunteers and chronic obstructive pulmonary disease patients. NMR IN BIOMEDICINE 2023; 36:e4860. [PMID: 36285811 DOI: 10.1002/nbm.4860] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 06/16/2023]
Abstract
The purpose of the current study was to assess the influence of the registration algorithms on the repeatability of three-dimensional (3D) phase-resolved functional lung (PREFUL) ventilation magnetic resonance imaging (MRI). Twenty-three healthy volunteers and 10 patients with chronic obstructive pulmonary disease (COPD) underwent 3D PREFUL MRI during tidal breathing. The registration of dynamically acquired data to a fixed image was executed using single-step, stepwise, and group-oriented registration (GOREG) approaches. Advanced Normalization Tools (ANTs) and the Forsberg image-registration package were used for the registration. Image registration algorithms were tested for differences and evaluated by the repeatability analysis of ventilation parameters using coefficient of variation (CoV), intraclass-correlation coefficient, Bland-Altman plots, and correlation to spirometry. Also, the registration time and image quality were computed for all registration approaches. Very strong to strong correlations (r range: 0.917-0.999) were observed between ventilation parameters derived using various registration approaches. Median CoV values of the cross-correlation (CC) parameter were significantly lower (all p ≤ 0.0054) for ANTs GOREG compared with single-step and stepwise ANTs registration. The majority of comparisons between COPD patients and age-matched healthy volunteers showed agreement among the registration approaches. The repeatability of regional ventilation (RVent)-based ventilation defect percentage (VDPRVent ) and VDPCC was significantly higher (both p ≤ 0.0054) for Forsberg GOREG compared with ANTs GOREG. All 3D PREFUL-derived ventilation parameters correlated with forced expiratory volume in 1 s (FEV1 ) and the FEV1 / forced vital capacity (FVC) ratio (all |r| > 0.40, all p < 0.03). The image sharpness of RVent maps was statistically elevated (all p < 0.001) using GOREG compared with single-step and stepwise registration approaches using ANTs. The best computational performance was achieved with Forsberg GOREG. The GOREG scheme improves the repeatability and image quality of dynamic 3D PREFUL ventilation parameters. Registration time can be ~10-fold reduced to 9 min using the Forsberg method with equal or even improved repeatability and comparable PREFUL ventilation results compared with the ANTs method.
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Affiliation(s)
- Filip Klimeš
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Marcel Gutberlet
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Frank Wacker
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany
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Heiss R, Tan L, Schmidt S, Regensburger AP, Ewert F, Mammadova D, Buehler A, Vogel-Claussen J, Voskrebenzev A, Rauh M, Rompel O, Nagel AM, Lévy S, Bickelhaupt S, May MS, Uder M, Metzler M, Trollmann R, Woelfle J, Wagner AL, Knieling F. Pulmonary Dysfunction after Pediatric COVID-19. Radiology 2023; 306:e221250. [PMID: 36125379 PMCID: PMC9513839 DOI: 10.1148/radiol.221250] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Long COVID occurs at a lower frequency in children and adolescents than in adults. Morphologic and free-breathing phase-resolved functional low-field-strength MRI may help identify persistent pulmonary manifestations after SARS-CoV-2 infection. Purpose To characterize both morphologic and functional changes of lung parenchyma at low-field-strength MRI in children and adolescents with post-COVID-19 condition compared with healthy controls. Materials and Methods Between August and December 2021, a cross-sectional clinical trial using low-field-strength MRI was performed in children and adolescents from a single academic medical center. The primary outcome was the frequency of morphologic changes at MRI. Secondary outcomes included MRI-derived functional proton ventilation and perfusion parameters. Clinical symptoms, the duration from positive reverse transcriptase-polymerase chain reaction test result, and serologic parameters were compared with imaging results. Nonparametric tests for pairwise and corrected tests for groupwise comparisons were applied to assess differences in healthy controls, recovered participants, and those with long COVID. Results A total of 54 participants after COVID-19 infection (mean age, 11 years ± 3 [SD]; 30 boys [56%]) and nine healthy controls (mean age, 10 years ± 3; seven boys [78%]) were included: 29 (54%) in the COVID-19 group had recovered from infection and 25 (46%) were classified as having long COVID on the day of enrollment. Morphologic abnormality was identified in one recovered participant. Both ventilated and perfused lung parenchyma (ventilation-perfusion [V/Q] match) was higher in healthy controls (81% ± 6.1) compared with the recovered group (62% ± 19; P = .006) and the group with long COVID (60% ± 20; P = .003). V/Q match was lower in patients with time from COVID-19 infection to study participation of less than 180 days (63% ± 20; P = .03), 180-360 days (63% ± 18; P = .03), and 360 days (41% ± 12; P < .001) as compared with the never-infected healthy controls (81% ± 6.1). Conclusion Low-field-strength MRI showed persistent pulmonary dysfunction in children and adolescents who recovered from COVID-19 and those with long COVID. Clinical trial registration no. NCT04990531 © RSNA, 2022 Supplemental material is available for this article. See also the editorial by Paltiel in this issue.
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Affiliation(s)
- Rafael Heiss
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Lina Tan
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Sandy Schmidt
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Adrian P Regensburger
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Franziska Ewert
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Dilbar Mammadova
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Adrian Buehler
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Jens Vogel-Claussen
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Andreas Voskrebenzev
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Manfred Rauh
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Oliver Rompel
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Armin M Nagel
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Simon Lévy
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Sebastian Bickelhaupt
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Matthias S May
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Michael Uder
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Markus Metzler
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Regina Trollmann
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Joachim Woelfle
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Alexandra L Wagner
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
| | - Ferdinand Knieling
- From the Institute of Radiology (R.H., S.S., O.R., A.M.N., S.L., S.B., M.S.M., M.U.), Department of Pediatrics and Adolescent Medicine (L.T., A.P.R., F.E., D.M., A.B., M.R., M.M., R.T., J.W., A.L.W., F.K.), Pediatric Experimental and Translational Imaging Laboratory (PETI_Lab), Department of Pediatrics and Adolescent Medicine (A.P.R., A.B., A.L.W., F.K.), and Center for Social Pediatrics (F.E., D.M., R.T., J.W., A.L.W., F.K.), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Loschgestr 15, Erlangen 91054, Germany; and Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.V.C., A.V.)
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Assessment of lung ventilation of premature infants with bronchopulmonary dysplasia at 1.5 Tesla using phase-resolved functional lung magnetic resonance imaging. Pediatr Radiol 2023; 53:1076-1084. [PMID: 36737516 DOI: 10.1007/s00247-023-05598-6] [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: 06/17/2022] [Revised: 12/15/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND The most common chronic complication of preterm birth is bronchopulmonary dysplasia (BPD), widely referred to as chronic lung disease of prematurity. All current definitions rely on characterizing the disease based on respiratory support level and do not provide full understanding of the underlying cardiopulmonary pathophysiology. OBJECTIVE To evaluate a rapid functional lung imaging technique in premature infants and to quantitate pulmonary ventilation using 1.5 Tesla magnetic resonance imaging (MRI). MATERIALS AND METHODS We conducted a prospective MRI study of 12 premature infants in the neonatal intensive care unit (NICU) using the phase resolved functional lung MRI technique to calculate pulmonary ventilation parameters in preterm infants with and without BPD grade 0/1 (n = 6) and grade 2/3 (n = 6). RESULTS The total ventilation defect percentage showed a significant difference between groups (16.0% IQR (11.0%,18%) BPD grade 2/3 vs. 8.0% IQR (4.5%,9.0%) BPD grade 0/1, p = 0.01). CONCLUSION Phase-resolved functional lung MRI is feasible for assessment of ventilation defect percentages in preterm infants and shows regional variation in localized lung function in this population.
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50
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Cheng R, Conrad M. Balloon Pulmonary Angioplasty for Chronic Thromboembolic Pulmonary Hypertension in Patients With Chronic Obstructive Pulmonary Disease: A Note of Caution. J Am Heart Assoc 2023; 12:e028898. [PMID: 36734352 PMCID: PMC9973662 DOI: 10.1161/jaha.122.028898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Richard Cheng
- Division of Cardiology, Department of Internal MedicineAdvanced Heart Failure Comprehensive Care Center, University of California San FranciscoCAUSA
| | - Miles Conrad
- Section of Interventional Radiology, Department of RadiologyUniversity of California San FranciscoCAUSA
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