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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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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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3
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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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4
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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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5
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Ilicak E, Ozdemir S, Schad LR, Weis M, Schoenberg SO, Zöllner FG, Zapp J. Phase-cycled balanced SSFP imaging for non-contrast-enhanced functional lung imaging. Magn Reson Med 2022; 88:1764-1774. [PMID: 35608220 DOI: 10.1002/mrm.29302] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/11/2022] [Accepted: 04/25/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE To introduce phase-cycled balanced SSFP (bSSFP) acquisition as an alternative in Fourier decomposition MRI for improved robustness against field inhomogeneities. METHODS Series 2D dynamic lung images were acquired in 5 healthy volunteers at 1.5 T and 3 T using bSSFP sequence with multiple RF phase increments and compared with conventional single RF phase increment acquisitions. The approach was evaluated based on functional map homogeneity analysis, while ensuring image and functional map quality by means of SNR and contrast-to-noise ratio analyses. RESULTS At both field strengths, functional maps obtained with phase-cycled acquisitions displayed improved robustness against local signal losses compared with single-phase acquisitions. The coefficient of variation (mean ± SD, across volunteers) measured in the ventilation maps resulted in 29.7 ± 2.6 at 1.5 T and 37.5 ± 3.1 at 3 T for phase-cycled acquisitions, compared with 39.9 ± 5.2 at 1.5 T and 49.5 ± 3.7 at 3 T for single-phase acquisitions, indicating a significant improvement ( p < 0.05 $$ p<0.05 $$ ) in ventilation map homogeneity. CONCLUSIONS Phase-cycled bSSFP acquisitions improve robustness against field inhomogeneity artifacts and significantly improve ventilation map homogeneity at both field strengths. As such, phase-cycled bSSFP may serve as a robust alternative in lung function assessments.
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Affiliation(s)
- Efe Ilicak
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Safa Ozdemir
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Meike Weis
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank G Zöllner
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jascha Zapp
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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6
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Saunders LC, Hughes PJC, Alabed S, Capener DJ, Marshall H, Vogel-Claussen J, van Beek EJR, Kiely DG, Swift AJ, Wild JM. Integrated Cardiopulmonary MRI Assessment of Pulmonary Hypertension. J Magn Reson Imaging 2022; 55:633-652. [PMID: 34350655 DOI: 10.1002/jmri.27849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 11/12/2022] Open
Abstract
Pulmonary hypertension (PH) is a heterogeneous condition that can affect the lung parenchyma, pulmonary vasculature, and cardiac chambers. Accurate diagnosis often requires multiple complex assessments of the cardiac and pulmonary systems. MRI is able to comprehensively assess cardiac structure and function, as well as lung parenchymal, pulmonary vascular, and functional lung changes. Therefore, MRI has the potential to provide an integrated functional and structural assessment of the cardiopulmonary system in a single exam. Cardiac MRI is used in the assessment of PH in most large PH centers, whereas lung MRI is an emerging technique in patients with PH. This article reviews the current literature on cardiopulmonary MRI in PH, including cine MRI, black-blood imaging, late gadolinium enhancement, T1 mapping, myocardial strain analysis, contrast-enhanced perfusion imaging and contrast-enhanced MR angiography, and hyperpolarized gas functional lung imaging. This article also highlights recent developments in this field and areas of interest for future research including cardiac MRI-based diagnostic models, machine learning in cardiac MRI, oxygen-enhanced 1 H imaging, contrast-free 1 H perfusion and ventilation imaging, contrast-free angiography and UTE imaging. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Laura C Saunders
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul J C Hughes
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Samer Alabed
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Helen Marshall
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | | | - David G Kiely
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,Imaging, Sheffield Teaching Hospitals, Sheffield, UK
| | - Jim M Wild
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
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7
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Valentin B, Stabinska J, Reurik F, Tell C, Mewes AD, Müller-Lutz A, Antoch G, Rump LC, Wittsack HJ, Ljimani A. Feasibility of renal perfusion quantification by Fourier decomposition MRI. Magn Reson Imaging 2021; 85:3-9. [PMID: 34655728 DOI: 10.1016/j.mri.2021.10.003] [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: 01/23/2021] [Revised: 09/19/2021] [Accepted: 10/10/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE To evaluate the feasibility of perfusion measurements in the human kidney by Fourier decomposition MRI (FD-MRI). METHODS Renal perfusion measurements by FD-MRI and arterial spin labeling (ASL) were performed using a 1.5 T whole-body MR-scanner (Magnetom Avanto, Siemens Healthineers AG, Germany) in 15 healthy volunteers (mean age 33.0 ± 13.6 years). Five healthy volunteers were measured twice to evaluate the reproducibility. Besides, five patients with renal artery stenosis (RAS) (mean age 58.4 ± 16.2 years) were included in the study to evaluate potential clinical use of the FD-MRI for evaluating renal perfusion. For renal FD-MRI, coronal 2D-TrueFisp sequence (1 section; section thickness: 10 mm; FOV: 400 × 400 mm 2; TR/TE: 2.06/0.89 ms; 250 images; 0,36 s/image), for renal ASL, coronal FAIR-TrueFisp sequence (1 section; section thickness: 10 mm; FOV: 400 × 400 mm2; TR/TE 4.0/2.0 ms, TI 1200 ms, 30 averages; 8,32 s/average) were acquired without any triggering. Perfusion parameter maps of the kidneys were calculated for both methods. After manual segmentation, ROI-based analysis (whole kidney, cortex and medulla, respectively) was performed and the results were subsequently compared using the Student t-test. RESULTS The acquisition times were 1.30 min and 4.16 min, for renal FD-MRI and ASL, respectively. No significant difference in global renal perfusion (RBF) between both methods was detected (mean RBF in the right kidney: 308.4 ± 31.5 mL/100 mL/min for FD-MRI; 315.2 ± 41.1 for ASL; in the left kidney: 315.6 ± 32.8 mL/100 mL/min for FD-MRI; 310.2 ± 39.1 mL/100 mL/min for ASL, respectively). The results indicated good reproducibility of both considered methods. However, cortico-medullar differentiation was not possible by FD-MRI, probably due to lower SNR compared to ASL. Significant difference in the side-separated RBF were measured by FD-MRI as well as by ASL (p < 0.05) in patients with RAS. CONCLUSIONS FD-MRI is a novel, rapid approach for contrast-free perfusion quantification in the human kidney. Main advantage of this new method compared to ASL perfusion is the significant shorter acquisition time and lower dependency on patient's compliance. However, lower SNR of FD-MRI needs further improvement to make FD-MRI a competitive alternative to ASL.
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Affiliation(s)
- B Valentin
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - J Stabinska
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - F Reurik
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - C Tell
- University Dusseldorf, Medical Faculty, Department of Nephrology, D-40225 Dusseldorf, Germany
| | - A D Mewes
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - A Müller-Lutz
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - G Antoch
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - L C Rump
- University Dusseldorf, Medical Faculty, Department of Nephrology, D-40225 Dusseldorf, Germany
| | - H J Wittsack
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - A Ljimani
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
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8
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Ljimani A, Hojdis M, Stabinska J, Valentin B, Frenken M, Appel E, Antoch G, Wittsack HJ. Analysis of different image-registration algorithms for Fourier decomposition MRI in functional lung imaging. Acta Radiol 2021; 62:875-881. [PMID: 32727212 DOI: 10.1177/0284185120944902] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Motion correction is mandatory for the functional Fourier decomposition magnetic resonance imaging (FD-MRI) of the lungs. Therefore, it is important to evaluate the quality of various image-registration algorithms for pulmonary FD-MRI and to determine their impact on FD-MRI outcome. PURPOSE To evaluate different image-registration algorithms for FD-MRI in functional lung imaging. MATERIAL AND METHODS Fifteen healthy volunteers were examined in a 1.5-T whole-body MR scanner (Magnetom Avanto, Siemens AG) with a non-contrast enhanced 2D TrueFISP pulse sequence in coronal view and free-breathing (acquisition time 45 s, 250 images). Three image-registration algorithms were used to compensate the spatial variation of the lungs (fMRLung 3.0, ANTs, and Elastix). Quality control for image registration was performed by edge detection (ED), quotient image criterion (QI), and dice similarity coefficient (DSC). Ventilation, perfusion, and a ventilation/perfusion quotient (V/Q) were calculated using the three registered datasets. RESULTS Average computing times for the three image-registration algorithms were 1.0 ± 1.6 min, 38.0 ± 13.5 min, and 354 ± 78 min for fMRLung, ANTs, and Elastix, respectively. No significant difference in the quality of motion correction provided by different image-registration algorithms occurred. Significant differences were observed between fMRLung- and Elastix-based perfusion values of the left lung as well as fMRLung- and ANTs-based V/Q quotient of the right and the entire lung (P < 0.05). Other ventilation and perfusion values were not significantly different. CONCLUSION The mandatory motion correction for functional FD-MRI of the lung can be achieved through different image-registration algorithms with consistent quality. However, a significantly difference in computing time between the image-registration algorithms still requires an optimization.
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Affiliation(s)
- Alexandra Ljimani
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Malte Hojdis
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Julia Stabinska
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Birte Valentin
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Miriam Frenken
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Elisabeth Appel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
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9
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Weng AM, Heidenreich JF, Metz C, Veldhoen S, Bley TA, Wech T. Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times. BMC Med Imaging 2021; 21:79. [PMID: 33964892 PMCID: PMC8106126 DOI: 10.1186/s12880-021-00608-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/26/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentation of lung images which were scanned by a fast UTE sequence exploiting the stack-of-spirals trajectory can provide sufficiently good accuracy for the calculation of functional parameters. METHODS In this study, lung images were acquired in 20 patients suffering from cystic fibrosis (CF) and 33 healthy volunteers, by a fast UTE sequence with a stack-of-spirals trajectory and a minimum echo-time of 0.05 ms. A convolutional neural network was then trained for semantic lung segmentation using 17,713 2D coronal slices, each paired with a label obtained from manual segmentation. Subsequently, the network was applied to 4920 independent 2D test images and results were compared to a manual segmentation using the Sørensen-Dice similarity coefficient (DSC) and the Hausdorff distance (HD). Obtained lung volumes and fractional ventilation values calculated from both segmentations were compared using Pearson's correlation coefficient and Bland Altman analysis. To investigate generalizability to patients outside the CF collective, in particular to those exhibiting larger consolidations inside the lung, the network was additionally applied to UTE images from four patients with pneumonia and one with lung cancer. RESULTS The overall DSC for lung tissue was 0.967 ± 0.076 (mean ± standard deviation) and HD was 4.1 ± 4.4 mm. Lung volumes derived from manual and deep learning based segmentations as well as values for fractional ventilation exhibited a high overall correlation (Pearson's correlation coefficent = 0.99 and 1.00). For the additional cohort with unseen pathologies / consolidations, mean DSC was 0.930 ± 0.083, HD = 12.9 ± 16.2 mm and the mean difference in lung volume was 0.032 ± 0.048 L. CONCLUSIONS Deep learning-based image segmentation in stack-of-spirals based lung MRI allows for accurate estimation of lung volumes and fractional ventilation values and promises to replace the time-consuming step of manual image segmentation in the future.
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Affiliation(s)
- Andreas M Weng
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany.
| | - Julius F Heidenreich
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Corona Metz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Simon Veldhoen
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Thorsten A Bley
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Tobias Wech
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
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10
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Ohno Y, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Hattori H, Murayama K, Toyama H. Overview of MRI for pulmonary functional imaging. Br J Radiol 2021; 95:20201053. [PMID: 33529053 DOI: 10.1259/bjr.20201053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Morphological evaluation of the lung is important in the clinical evaluation of pulmonary diseases. However, the disease process, especially in its early phases, may primarily result in changes in pulmonary function without changing the pulmonary structure. In such cases, the traditional imaging approaches to pulmonary morphology may not provide sufficient insight into the underlying pathophysiology. Pulmonary imaging community has therefore tried to assess pulmonary diseases and functions utilizing not only nuclear medicine, but also CT and MR imaging with various technical approaches. In this review, we overview state-of-the art MR methods and the future direction of: (1) ventilation imaging, (2) perfusion imaging and (3) biomechanical evaluation for pulmonary functional imaging.
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Affiliation(s)
- Yoshiharu Ohno
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.,Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan
| | - Satomu Hanamatsu
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
| | - Yuki Obama
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
| | - Takahiro Ueda
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
| | - Hirotaka Ikeda
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
| | - Hidekazu Hattori
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
| | - Kazuhiro Murayama
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan
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11
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Gopalan D, Gibbs JSR. From Early Morphometrics to Machine Learning-What Future for Cardiovascular Imaging of the Pulmonary Circulation? Diagnostics (Basel) 2020; 10:diagnostics10121004. [PMID: 33255668 PMCID: PMC7760106 DOI: 10.3390/diagnostics10121004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 02/07/2023] Open
Abstract
Imaging plays a cardinal role in the diagnosis and management of diseases of the pulmonary circulation. Behind the picture itself, every digital image contains a wealth of quantitative data, which are hardly analysed in current routine clinical practice and this is now being transformed by radiomics. Mathematical analyses of these data using novel techniques, such as vascular morphometry (including vascular tortuosity and vascular volumes), blood flow imaging (including quantitative lung perfusion and computational flow dynamics), and artificial intelligence, are opening a window on the complex pathophysiology and structure-function relationships of pulmonary vascular diseases. They have the potential to make dramatic alterations to how clinicians investigate the pulmonary circulation, with the consequences of more rapid diagnosis and a reduction in the need for invasive procedures in the future. Applied to multimodality imaging, they can provide new information to improve disease characterization and increase diagnostic accuracy. These new technologies may be used as sophisticated biomarkers for risk prediction modelling of prognosis and for optimising the long-term management of pulmonary circulatory diseases. These innovative techniques will require evaluation in clinical trials and may in themselves serve as successful surrogate end points in trials in the years to come.
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Affiliation(s)
- Deepa Gopalan
- Imperial College Healthcare NHS Trust, London W12 0HS, UK
- Imperial College London, London SW7 2AZ, UK;
- Cambridge University Hospital, Cambridge CB2 0QQ, UK
- Correspondence: ; Tel.: +44-77-3000-7780
| | - J. Simon R. Gibbs
- Imperial College London, London SW7 2AZ, UK;
- National Heart & Lung Institute, Imperial College London, London SW3 6LY, UK
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12
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Lasch F, Karch A, Koch A, Derlin T, Voskrebenzev A, Alsady TM, Hoeper MM, Gall H, Roller F, Harth S, Steiner D, Krombach G, Ghofrani HA, Rengier F, Heußel CP, Grünig E, Beitzke D, Hacker M, Lang IM, Behr J, Bartenstein P, Dinkel J, Schmidt KH, Kreitner KF, Frauenfelder T, Ulrich S, Hamer OW, Pfeifer M, Johns CS, Kiely DG, Swift AJ, Wild J, Vogel-Claussen J. Comparison of MRI and VQ-SPECT as a Screening Test for Patients With Suspected CTEPH: CHANGE-MRI Study Design and Rationale. Front Cardiovasc Med 2020; 7:51. [PMID: 32328500 PMCID: PMC7161347 DOI: 10.3389/fcvm.2020.00051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/16/2020] [Indexed: 11/26/2022] Open
Abstract
The diagnostic strategy for chronic thromboembolic pulmonary hypertension (CTEPH) is composed of two components required for a diagnosis of CTEPH: the presence of chronic pulmonary embolism and an elevated pulmonary artery pressure. The current guidelines require that ventilation-perfusion single-photon emission computed tomography (VQ-SPECT) is used for the first step diagnosis of chronic pulmonary embolism. However, VQ-SPECT exposes patients to ionizing radiation in a radiation sensitive population. The prospective, multicenter, comparative phase III diagnostic trial CTEPH diagnosis Europe - MRI (CHANGE-MRI, ClinicalTrials.gov identifier NCT02791282) aims to demonstrate whether functional lung MRI can serve as an equal rights alternative to VQ-SPECT in a diagnostic strategy for patients with suspected CTEPH. Positive findings are verified with catheter pulmonary angiography or computed tomography pulmonary angiography (gold standard). For comparing the imaging methods, a co-primary endpoint is used. (i) the proportion of patients with positive MRI in the group of patients who have a positive SPECT and gold standard diagnosis for chronic pulmonary embolism and (ii) the proportion of patients with positive MRI in the group of patients with negative SPECT and gold standard. The CHANGE-MRI trial will also investigate the performance of functional lung MRI without i.v. contrast agent as an index test and identify cardiac, hemodynamic, and pulmonary MRI-derived parameters to estimate pulmonary artery pressures and predict 6-12 month survival. Ultimately, this study will provide the necessary evidence for the discussion about changes in the recommendations on the diagnostic approach to CTEPH.
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Affiliation(s)
- Florian Lasch
- Institute of Biostatistics, Hannover Medical School, Hanover, Germany
| | - Annika Karch
- Institute of Biostatistics, Hannover Medical School, Hanover, Germany
| | - Armin Koch
- Institute of Biostatistics, Hannover Medical School, Hanover, Germany
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Hanover, Germany
| | - Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
| | - Tawfik Moher Alsady
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
| | - Marius M. Hoeper
- Department of Pneumology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
| | - Henning Gall
- Department of Pneumology, Medical University Giessen and Marburg, Giessen, Germany
- Universities of Giessen and Marburg Lung Center, Marburg, Germany
| | - Fritz Roller
- Universities of Giessen and Marburg Lung Center, Marburg, Germany
- Department of Radiology, Medical University Giessen and Marburg, Giessen, Germany
| | - Sebastian Harth
- Universities of Giessen and Marburg Lung Center, Marburg, Germany
- Department of Radiology, Medical University Giessen and Marburg, Giessen, Germany
| | - Dagmar Steiner
- Department of Nuclear Medicine, Medical University Giessen and Marburg, Giessen, Germany
| | - Gabriele Krombach
- Universities of Giessen and Marburg Lung Center, Marburg, Germany
- Department of Radiology, Medical University Giessen and Marburg, Giessen, Germany
| | - Hossein Ardeschir Ghofrani
- Department of Pneumology, Medical University Giessen and Marburg, Giessen, Germany
- Universities of Giessen and Marburg Lung Center, Marburg, Germany
| | - Fabian Rengier
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Claus Peter Heußel
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Ekkehard Grünig
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Centre for Pulmonary Hypertension, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany
| | - Dietrich Beitzke
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Irene M. Lang
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Jürgen Behr
- Department of Pneumology, Ludwig-Maximilan University Munich, Munich, Germany
- Comprehensive Pneumology Center, Munich, Ludwig-Maximilians-University Munich and Asklepios Hospital Munich-Gauting and Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilan University, Munich, Germany
| | - Julien Dinkel
- Comprehensive Pneumology Center, Munich, Ludwig-Maximilians-University Munich and Asklepios Hospital Munich-Gauting and Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
- Department of Radiology, Ludwig-Maximilan University Munich, Munich, Germany
| | - Kai-Helge Schmidt
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Frauenfelder
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Silvia Ulrich
- Department of Respiratory Medicine, Pulmonary Hypertension Unit, University Hospital Zurich, Zurich, Switzerland
| | - Okka W. Hamer
- Department of Radiology, Regensburg University Hospital, Regensburg, Germany
| | - Michael Pfeifer
- Department of Pneumology, Regensburg University Hospital, Regensburg, Germany
| | | | - David G. Kiely
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamhire Hospital, Sheffield, United Kingdom
| | - Andrew James Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Jim Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hanover, Germany
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13
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Voskrebenzev A, Vogel-Claussen J. Proton MRI of the Lung: How to Tame Scarce Protons and Fast Signal Decay. J Magn Reson Imaging 2020; 53:1344-1357. [PMID: 32166832 DOI: 10.1002/jmri.27122] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/20/2020] [Accepted: 02/20/2020] [Indexed: 12/19/2022] Open
Abstract
Pulmonary proton MRI techniques offer the unique possibility of assessing lung function and structure without the requirement for hyperpolarization or dedicated hardware, which is mandatory for multinuclear acquisition. Five popular approaches are presented and discussed in this review: 1) oxygen enhanced (OE)-MRI; 2) arterial spin labeling (ASL); 3) Fourier decomposition (FD) MRI and other related methods including self-gated noncontrast-enhanced functional lung (SENCEFUL) MR and phase-resolved functional lung (PREFUL) imaging; 4) dynamic contrast-enhanced (DCE) MRI; and 5) ultrashort TE (UTE) MRI. While DCE MRI is the most established and well-studied perfusion measurement, FD MRI offers a free-breathing test without any contrast agent and is predestined for application in patients with renal failure or with low compliance. Additionally, FD MRI and related methods like PREFUL and SENCEFUL can act as an ionizing radiation-free V/Q scan, since ventilation and perfusion information is acquired simultaneously during one scan. For OE-MRI, different concentrations of oxygen are applied via a facemask to assess the regional change in T1 , which is caused by the paramagnetic property of oxygen. Since this change is governed by a combination of ventilation, diffusion, and perfusion, a compound functional measurement can be achieved with OE-MRI. The known problem of fast T2 * decay of the lung parenchyma leading to a low signal-to-noise ratio is bypassed by the UTE acquisition strategy. Computed tomography (CT)-like images allow the assessment of lung structure with high spatial resolution without ionizing radiation. Despite these different branches of proton MRI, common trends are evident among pulmonary proton MRI: 1) free-breathing acquisition with self-gating; 2) application of UTE to preserve a stronger parenchymal signal; and 3) transition from 2D to 3D acquisition. On that note, there is a visible convergence of the different methods and it is not difficult to imagine that future methods will combine different aspects of the presented methods.
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Affiliation(s)
- Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
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14
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Pöhler GH, Klimes F, Voskrebenzev A, Behrendt L, Czerner C, Gutberlet M, Cebotari S, Ius F, Fegbeutel C, Schoenfeld C, Kaireit TF, Hauck EF, Olsson KM, Hoeper MM, Wacker F, Vogel‐Claussen J. Chronic Thromboembolic Pulmonary Hypertension Perioperative Monitoring Using Phase‐Resolved Functional Lung (PREFUL)‐MRI. J Magn Reson Imaging 2020; 52:610-619. [DOI: 10.1002/jmri.27097] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/02/2020] [Accepted: 02/03/2020] [Indexed: 01/19/2023] Open
Affiliation(s)
- Gesa H. Pöhler
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Filip Klimes
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Lea Behrendt
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Christoph Czerner
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Marcel Gutberlet
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Serghei Cebotari
- Department of CardiothoracicTransplantation and Vascular Surgery, Hannover Medical School Hannover Germany
| | - Fabio Ius
- Department of CardiothoracicTransplantation and Vascular Surgery, Hannover Medical School Hannover Germany
| | - Christine Fegbeutel
- Department of CardiothoracicTransplantation and Vascular Surgery, Hannover Medical School Hannover Germany
| | - Christian Schoenfeld
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Till F. Kaireit
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Erik F. Hauck
- Department of NeurosurgeryDuke Hospital Durham North Carolina USA
| | - Karen M. Olsson
- Department of Respiratory MedicineHannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Marius M. Hoeper
- Department of Respiratory MedicineHannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Frank Wacker
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
| | - Jens Vogel‐Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School Hannover Germany
- German Centre for Lung Research, BREATH Hannover Germany
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15
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Klimeš F, Voskrebenzev A, Gutberlet M, Kern A, Behrendt L, Kaireit TF, Czerner C, Renne J, Wacker F, Vogel-Claussen J. Free-breathing quantification of regional ventilation derived by phase-resolved functional lung (PREFUL) MRI. NMR IN BIOMEDICINE 2019; 32:e4088. [PMID: 30908743 DOI: 10.1002/nbm.4088] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 02/11/2019] [Accepted: 02/12/2019] [Indexed: 06/09/2023]
Abstract
PURPOSE To test the feasibility of regional fully quantitative ventilation measurement in free breathing derived by phase-resolved functional lung (PREFUL) MRI in the supine and prone positions. In addition, the influence of T2 * relaxation time on ventilation quantification is assessed. METHODS Twelve healthy volunteers underwent functional MRI at 1.5 T using a 2D triple-echo spoiled gradient echo sequence allowing for quantitative measurement of T2 * relaxation time. Minute ventilation (ΔV) was quantified by conventional fractional ventilation (FV) and the newly introduced regional ventilation (VR), which corrects volume errors due to image registration. ΔVFV versus ΔVVR and ΔVVR versus ΔVVR with T2 * correction were compared using Bland-Altman plots and correlation analysis. The repeatability and physiological plausibility of all measurements were tested in the supine and prone positions. RESULTS On global and regional scales a strong correlation was observed between ΔVFV versus ΔVVR and ΔVVR versus ΔVVRT2* (r > 0.93); however, regional Bland-Altman analysis showed systematic differences (p < 0.0001). Unlike ΔVVRT2* , ΔVVR and ΔVFV showed expected physiologic anterior-posterior gradients, which decreased in the supine but not in the prone position at second measurement during 3 min in the same position. For all quantification methods a moderate repeatability (coefficient of variation <20%) of ventilation was found. CONCLUSION A fully quantified regional ventilation measurement using ΔVVR in free breathing is feasible and shows physiologically plausible results. In contrast to conventional ΔVFV, volume errors due to image registration are eliminated with the ΔVVR approach. However, correction for the T2 * effect remains challenging.
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Affiliation(s)
- F 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
| | - A 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
| | - M 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
| | - A 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
| | - L 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
| | - T 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
| | - C Czerner
- 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
| | - J Renne
- 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
| | - F 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
| | - J 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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16
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Kiely DG, Levin DL, Hassoun PM, Ivy D, Jone PN, Bwika J, Kawut SM, Lordan J, Lungu A, Mazurek JA, Moledina S, Olschewski H, Peacock AJ, Puri G, Rahaghi FN, Schafer M, Schiebler M, Screaton N, Tawhai M, van Beek EJ, Vonk-Noordegraaf A, Vandepool R, Wort SJ, Zhao L, Wild JM, Vogel-Claussen J, Swift AJ. EXPRESS: Statement on imaging and pulmonary hypertension from the Pulmonary Vascular Research Institute (PVRI). Pulm Circ 2019; 9:2045894019841990. [PMID: 30880632 PMCID: PMC6732869 DOI: 10.1177/2045894019841990] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 03/01/2019] [Indexed: 01/08/2023] Open
Abstract
Pulmonary hypertension (PH) is highly heterogeneous and despite treatment advances it remains a life-shortening condition. There have been significant advances in imaging technologies, but despite evidence of their potential clinical utility, practice remains variable, dependent in part on imaging availability and expertise. This statement summarizes current and emerging imaging modalities and their potential role in the diagnosis and assessment of suspected PH. It also includes a review of commonly encountered clinical and radiological scenarios, and imaging and modeling-based biomarkers. An expert panel was formed including clinicians, radiologists, imaging scientists, and computational modelers. Section editors generated a series of summary statements based on a review of the literature and professional experience and, following consensus review, a diagnostic algorithm and 55 statements were agreed. The diagnostic algorithm and summary statements emphasize the key role and added value of imaging in the diagnosis and assessment of PH and highlight areas requiring further research.
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Affiliation(s)
- David G. Kiely
- Sheffield Pulmonary Vascular Disease
Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
| | - David L. Levin
- Department of Radiology, Mayo Clinic,
Rochester, MN, USA
| | - Paul M. Hassoun
- Department of Medicine John Hopkins
University, Baltimore, MD, USA
| | - Dunbar Ivy
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | - Pei-Ni Jone
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | | | - Steven M. Kawut
- Department of Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jim Lordan
- Freeman Hospital, Newcastle Upon Tyne,
Newcastle, UK
| | - Angela Lungu
- Technical University of Cluj-Napoca,
Cluj-Napoca, Romania
| | - Jeremy A. Mazurek
- Division of Cardiovascular Medicine,
Hospital
of the University of Pennsylvania,
Philadelphia, PA, USA
| | | | - Horst Olschewski
- Division of Pulmonology, Ludwig
Boltzmann Institute Lung Vascular Research, Graz, Austria
| | - Andrew J. Peacock
- Scottish Pulmonary Vascular Disease,
Unit, University of Glasgow, Glasgow, UK
| | - G.D. Puri
- Department of Anaesthesiology and
Intensive Care, Post Graduate Institute of Medical Education and Research,
Chandigarh, India
| | - Farbod N. Rahaghi
- Brigham and Women’s Hospital, Harvard
Medical School, Boston, MA, USA
| | - Michal Schafer
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | - Mark Schiebler
- Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Merryn Tawhai
- Auckland Bioengineering Institute,
Auckland, New Zealand
| | - Edwin J.R. van Beek
- Edinburgh Imaging, Queens Medical
Research Institute, University of Edinburgh, Edinburgh, UK
| | | | - Rebecca Vandepool
- University of Arizona, Division of
Translational and Regenerative Medicine, Tucson, AZ, USA
| | - Stephen J. Wort
- Royal Brompton Hospital, London,
UK
- Imperial College, London, UK
| | | | - Jim M. Wild
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
- Academic Department of Radiology,
University of Sheffield, Sheffield, UK
| | - Jens Vogel-Claussen
- Institute of diagnostic and
Interventional Radiology, Medical Hospital Hannover, Hannover, Germany
| | - Andrew J. Swift
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
- Academic Department of Radiology,
University of Sheffield, Sheffield, UK
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17
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Westcott A, McCormack DG, Parraga G, Ouriadov A. Advanced pulmonary MRI to quantify alveolar and acinar duct abnormalities: Current status and future clinical applications. J Magn Reson Imaging 2019; 50:28-40. [PMID: 30637857 DOI: 10.1002/jmri.26623] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 12/23/2022] Open
Abstract
There are serious clinical gaps in our understanding of chronic lung disease that require novel, sensitive, and noninvasive in vivo measurements of the lung parenchyma to measure disease pathogenesis and progressive changes over time as well as response to treatment. Until recently, our knowledge and appreciation of the tissue changes that accompany lung disease has depended on ex vivo biopsy and concomitant histological and stereological measurements. These measurements have revealed the underlying pathologies that drive lung disease and have provided important observations about airway occlusion, obliteration of the terminal bronchioles and airspace enlargement, or fibrosis and their roles in disease initiation and progression. ex vivo tissue stereology and histology are the established gold standards and, more recently, micro-computed tomography (CT) measurements of ex vivo tissue samples has also been employed to reveal new mechanistic findings about the progression of obstructive lung disease in patients. While these approaches have provided important understandings using ex vivo analysis of excised samples, recently developed hyperpolarized noble gas MRI methods provide an opportunity to noninvasively measure acinar duct and terminal airway dimensions and geometry in vivo, and, without radiation burden. Therefore, in this review we summarize emerging pulmonary MRI morphometry methods that provide noninvasive in vivo measurements of the lung in patients with bronchopulmonary dysplasia and chronic obstructive pulmonary disease, among others. We discuss new findings, future research directions, as well as clinical opportunities to address current gaps in patient care and for testing of new therapies. Level of Evidence: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2019;50:28-40.
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Affiliation(s)
- Andrew Westcott
- Robarts Research Institute, University of Western Ontario, London, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Canada
| | - David G McCormack
- Division of Respirology, Department of Medicine, University of Western Ontario, London, Canada
| | - Grace Parraga
- Robarts Research Institute, University of Western Ontario, London, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Canada.,Division of Respirology, Department of Medicine, University of Western Ontario, London, Canada
| | - Alexei Ouriadov
- Department of Physics and Astronomy, University of Western Ontario, London, Canada
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18
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Bauman G, Pusterla O, Bieri O. Functional lung imaging with transient spoiled gradient echo. Magn Reson Med 2018; 81:1915-1923. [DOI: 10.1002/mrm.27535] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 08/06/2018] [Accepted: 08/27/2018] [Indexed: 12/26/2022]
Affiliation(s)
- Grzegorz Bauman
- Division of Radiological Physics, Department of Radiology University of Basel Hospital Basel Switzerland
- Department of Biomedical Engineering University of Basel Basel Switzerland
| | - 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
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19
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Kaireit TF, Voskrebenzev A, Gutberlet M, Freise J, Jobst B, Kauczor H, Welte T, Wacker F, Vogel‐Claussen J. Comparison of quantitative regional perfusion‐weighted phase resolved functional lung (PREFUL) MRI with dynamic gadolinium‐enhanced regional pulmonary perfusion MRI in COPD patients. J Magn Reson Imaging 2018; 49:1122-1132. [DOI: 10.1002/jmri.26342] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 08/23/2018] [Accepted: 08/29/2018] [Indexed: 12/16/2022] Open
Affiliation(s)
- Till F. Kaireit
- Department of Diagnostic and Interventional RadiologyHannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
| | - Andreas Voskrebenzev
- Department of Diagnostic and Interventional RadiologyHannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
| | - Marcel Gutberlet
- Department of Diagnostic and Interventional RadiologyHannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
| | - Julia Freise
- Clinic of Pneumology, Hannover Medical School Hannover Germany
| | - Bertram Jobst
- Department of Diagnostic and Interventional RadiologyUniversity Hospital of Heidelberg Heidelberg Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL) Heidelberg Germany
| | - Hans‐Ulrich Kauczor
- Department of Diagnostic and Interventional RadiologyUniversity 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 (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
- Clinic of Pneumology, Hannover Medical School Hannover Germany
| | - Frank Wacker
- Department of Diagnostic and Interventional RadiologyHannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
| | - Jens Vogel‐Claussen
- Department of Diagnostic and Interventional RadiologyHannover Medical School Hannover Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL) Hannover Germany
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20
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Rengier F, Melzig C, Derlin T, Marra AM, Vogel-Claussen J. Advanced imaging in pulmonary hypertension: emerging techniques and applications. Int J Cardiovasc Imaging 2018; 35:1407-1420. [DOI: 10.1007/s10554-018-1448-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 08/24/2018] [Indexed: 02/07/2023]
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21
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Tsuchiya N, Beek EJRV, Ohno Y, Hatabu H, Kauczor HU, Swift A, Vogel-Claussen J, Biederer J, Wild J, Wielpütz MO, Schiebler ML. Magnetic resonance angiography for the primary diagnosis of pulmonary embolism: A review from the international workshop for pulmonary functional imaging. World J Radiol 2018; 10:52-64. [PMID: 29988845 PMCID: PMC6033703 DOI: 10.4329/wjr.v10.i6.52] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 04/25/2018] [Accepted: 05/30/2018] [Indexed: 02/06/2023] Open
Abstract
Pulmonary contrast enhanced magnetic resonance angiography (CE-MRA) is useful for the primary diagnosis of pulmonary embolism (PE). Many sites have chosen not to use CE-MRA as a first line of diagnostic tool for PE because of the speed and higher efficacy of computerized tomographic angiography (CTA). In this review, we discuss the strengths and weaknesses of CE-MRA and the appropriate imaging scenarios for the primary diagnosis of PE derived from our unique multi-institutional experience in this area. The optimal patient for this test has a low to intermediate suspicion for PE based on clinical decision rules. Patients in extremis are not candidates for this test. Younger women (< 35 years of age) and patients with iodinated contrast allergies are best served by using this modality We discuss the history of the use of this test, recent technical innovations, artifacts, direct and indirect findings for PE, ancillary findings, and the effectiveness (patient outcomes) of CE-MRA for the exclusion of PE. Current outcomes data shows that CE-MRA and NM V/Q scans are effective alternative tests to CTA for the primary diagnosis of PE.
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Affiliation(s)
- Nanae Tsuchiya
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan
- Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Edwin JR van Beek
- Edinburgh Imaging, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, United Kingdom
| | - Yoshiharu Ohno
- Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA 02115, United States
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg 69120, Germany
| | - Andrew Swift
- Department of Radiology, Royal Hallamshire Hospital, University of Sheffield, Sheffield S10 2JF, United Kingdom
| | - Jens Vogel-Claussen
- Department of Radiology, Carl-Neuberg Strasse 1, Hannover-Gr-Buchholz 30625, Germany
| | - Jürgen Biederer
- Radiology Darmstadt, Gross-Gerau County Hospital, Gross-Gerau 64521, Germany
| | - James Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2JF, United Kingdom
| | - Mark O Wielpütz
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg 69120, Germany
| | - Mark L Schiebler
- Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, United States
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Kern AL, Vogel-Claussen J. Hyperpolarized gas MRI in pulmonology. Br J Radiol 2018; 91:20170647. [PMID: 29271239 PMCID: PMC5965996 DOI: 10.1259/bjr.20170647] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 12/12/2017] [Accepted: 12/08/2017] [Indexed: 01/20/2023] Open
Abstract
Lung diseases have a high prevalence amongst the world population and their early diagnosis has been pointed out to be key for successful treatment. However, there is still a lack of non-invasive examination methods with sensitivity to early, local deterioration of lung function. Proton-based lung MRI is particularly challenging due to short T2* times and low proton density within the lung tissue. Hyperpolarized gas MRI is aan emerging technology providing a richness of methodologies which overcome the aforementioned problems. Unlike proton-based MRI, lung MRI of hyperpolarized gases may rely on imaging of spins in the lung's gas spaces or inside the lung tissue and thereby add substantial value and diagnostic potential to lung MRI. This review article gives an introduction to the MR physics of hyperpolarized media and presents the current state of hyperpolarized gas MRI of 3Headvasd and 129Xe in pulmonology. Key applications, ranging from static and dynamic ventilation imaging as well as oxygen-pressure mapping to 129Xe dissolved-phase imaging and spectroscopy are presented. Hyperpolarized gas MRI is compared to alternative examination methods based on MRI and future directions of hyperpolarized gas MRI are discussed.
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23
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Kaireit TF, Sorrentino SA, Renne J, Schoenfeld C, Voskrebenzev A, Gutberlet M, Schulz A, Jakob PM, Hansen G, Wacker F, Welte T, Tümmler B, Vogel-Claussen J. Functional lung MRI for regional monitoring of patients with cystic fibrosis. PLoS One 2017; 12:e0187483. [PMID: 29216201 PMCID: PMC5720731 DOI: 10.1371/journal.pone.0187483] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 10/03/2017] [Indexed: 11/29/2022] Open
Abstract
Purpose To test quantitative functional lung MRI techniques in young adults with cystic fibrosis (CF) compared to healthy volunteers and to monitor immediate treatment effects of a single inhalation of hypertonic saline in comparison to clinical routine pulmonary function tests. Materials and methods Sixteen clinically stable CF patients and 12 healthy volunteers prospectively underwent two functional lung MRI scans and pulmonary function tests before and 2h after a single treatment of inhaled hypertonic saline or without any treatment. MRI-derived oxygen enhanced T1 relaxation measurements, fractional ventilation, first-pass perfusion parameters and a morpho-functional CF-MRI score were acquired. Results Compared to healthy controls functional lung MRI detected and quantified significantly increased ventilation heterogeneity in CF patients. Regional functional lung MRI measures of ventilation and perfusion as well as the CF-MRI score and pulmonary function tests could not detect a significant treatment effect two hours after a single treatment with hypertonic saline in young adults with CF (p>0.05). Conclusion This study shows the feasibility of functional lung MRI as a non-invasive, radiation-free tool for monitoring patients with CF.
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Affiliation(s)
- Till F. Kaireit
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Sajoscha A. Sorrentino
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Julius Renne
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Christian Schoenfeld
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Marcel Gutberlet
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Angela Schulz
- Department of Pediatric Pulmonology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Peter M. Jakob
- Department of Experimental Physics 5, University of Würzburg, Würzburg, Germany
| | - Gesine Hansen
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
- Department of Pediatric Pulmonology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
| | - Tobias Welte
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
- Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | - Burkhard Tümmler
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
- Department of Pediatric Pulmonology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Germany
- * E-mail:
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24
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Unenhanced and Contrast-Enhanced MR Angiography and Perfusion Imaging for Suspected Pulmonary Thromboembolism. AJR Am J Roentgenol 2017; 208:517-530. [PMID: 28075625 DOI: 10.2214/ajr.16.17415] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE This article discusses the basics of unenhanced MR angiography (MRA) and MR venography (MRV), time-resolved contrast-enhanced (CE) MRA and dynamic first-pass CE perfusion MRI, and unenhanced and CE MRV, in addition to assessing the clinical relevance of these techniques for evaluating patients with suspected pulmonary thromboembolism and deep venous thrombosis. CONCLUSION Since the 1990s, the efficacy of MRA or MRV and dynamic perfusion MRI for patients with suspected pulmonary thromboembolism and deep venous thrombosis has been evaluated. On the basis of the results of single-center trials, comprehensive MRI protocols, including pulmonary unenhanced and CE MRA, perfusion MRI, and MRV, promise to be safe and time effective for assessing patients with suspected pulmonary thromboembolism, although future multicenter trials are required to assess the real clinical value of MRI.
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25
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Abstract
CLINICAL/METHODICAL ISSUE Separate assessment of respiratory mechanics, gas exchange and pulmonary circulation is essential for the diagnosis and therapy of pulmonary diseases. Due to the global character of the information obtained clinical lung function tests are often not sufficiently specific in the differential diagnosis or have a limited sensitivity in the detection of early pathological changes. STANDARD RADIOLOGICAL METHODS The standard procedures of pulmonary imaging are computed tomography (CT) for depiction of the morphology as well as perfusion/ventilation scintigraphy and single photon emission computed tomography (SPECT) for functional assessment. METHODICAL INNOVATIONS Magnetic resonance imaging (MRI) with hyperpolarized gases, O2-enhanced MRI, MRI with fluorinated gases and Fourier decomposition MRI (FD-MRI) are available for assessment of pulmonary ventilation. For assessment of pulmonary perfusion dynamic contrast-enhanced MRI (DCE-MRI), arterial spin labeling (ASL) and FD-MRI can be used. PERFORMANCE Imaging provides a more precise insight into the pathophysiology of pulmonary function on a regional level. The advantages of MRI are a lack of ionizing radiation, which allows a protective acquisition of dynamic data as well as the high number of available contrasts and therefore accessible lung function parameters. ACHIEVEMENTS Sufficient clinical data exist only for certain applications of DCE-MRI. For the other techniques, only feasibility studies and case series of different sizes are available. The clinical applicability of hyperpolarized gases is limited for technical reasons. PRACTICAL RECOMMENDATIONS The clinical application of the techniques described, except for DCE-MRI, should be restricted to scientific studies.
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Affiliation(s)
- G Sommer
- Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Petersgraben 4, 4031, Basel, Schweiz.
| | - G Bauman
- Klinik für Radiologie und Nuklearmedizin - Radiologische Physik, Universitätsspital Basel, Petersgraben 4, 4031, Basel, Schweiz
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26
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Imaging in vascular diseases of the lung. Curr Opin Pulm Med 2016; 22:522-6. [PMID: 27270181 DOI: 10.1097/mcp.0000000000000293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW The present review focuses on the recent developments in the field of pulmonary angiography and perfusion by means of computed tomography and magnetic resonance imaging. RECENT FINDINGS Computed tomography allows for a detailed analysis of large and small pulmonary vascular pathologies and simultaneously allows for evaluation of the lung parenchyma. Magnetic resonance imaging allows for large and small vessel evaluation as well as noninvasive pressure assessment. Furthermore, recently non-breath-hold contrast-enhanced and noncontrast-enhanced techniques have been developed making magnetic resonance imaging an ideal tool for comprehensive thoracic imaging, even in challenging patients. SUMMARY Noninvasive imaging using computed tomography and magnetic resonance imaging further increases their value in daily clinical practice when it comes to assessment of large and small pulmonary artery disease. As computed tomography is more easy to use and widely available, it remains the diagnostic modality of choice. However, magnetic resonance imaging is the modality of choice when a comprehensive angiographic and functional assessment is deemed necessary.
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27
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Roach DJ, Crémillieux Y, Serai SD, Thomen RP, Wang H, Zou Y, Szczesniak RD, Benzaquen S, Woods JC. Morphological and quantitative evaluation of emphysema in chronic obstructive pulmonary disease patients: A comparative study of MRI with CT. J Magn Reson Imaging 2016; 44:1656-1663. [DOI: 10.1002/jmri.25309] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 04/27/2016] [Indexed: 01/02/2023] Open
Affiliation(s)
- David J. Roach
- Center for Pulmonary Imaging Research; Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA
- Pulmonary Medicine; Cincinnati Children's Hospital; Cincinnati Ohio USA
| | - Yannick Crémillieux
- Centre de Résonance Magnétique des Systèmes Biologiques; Centre National de la Recherche Scientifique; Université de Bordeaux; Bordeaux France
| | - Suraj D. Serai
- Radiology Department Cincinnati Children's Hospital; Cincinnati Ohio USA
| | - Robert P. Thomen
- Center for Pulmonary Imaging Research; Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA
- Department of Physics; Washington University in St. Louis; St. Louis Missouri USA
| | - Hui Wang
- Philips Healthcare; Cleveland Ohio USA
| | - Yuanshu Zou
- Biostatistics and Epidemiology; Cincinnati Children's Hospital; Cincinnati Ohio USA
| | - Rhonda D. Szczesniak
- Pulmonary Medicine; Cincinnati Children's Hospital; Cincinnati Ohio USA
- Biostatistics and Epidemiology; Cincinnati Children's Hospital; Cincinnati Ohio USA
| | - Sadia Benzaquen
- University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | - Jason C. Woods
- Center for Pulmonary Imaging Research; Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA
- Pulmonary Medicine; Cincinnati Children's Hospital; Cincinnati Ohio USA
- Radiology Department Cincinnati Children's Hospital; Cincinnati Ohio USA
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28
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Stewart NJ, Wild JM. MRI methods for structural and functional assessment of the lungs: proton and multinuclear. IMAGING 2016. [DOI: 10.1183/2312508x.10002115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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29
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Bauman G, Bieri O. Matrix pencil decomposition of time-resolved proton MRI for robust and improved assessment of pulmonary ventilation and perfusion. Magn Reson Med 2016; 77:336-342. [PMID: 26757102 DOI: 10.1002/mrm.26096] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 11/04/2015] [Accepted: 11/27/2015] [Indexed: 12/30/2022]
Abstract
PURPOSE To present an improved and robust method of pulmonary function assessment from time-resolved proton MRI using a matrix pencil (MP) method in combination with a linear least squares analysis. METHODS Simulations of the signal time course in lung parenchyma were performed to compare the accuracy of Fourier decomposition (FD) and MP methods for the estimation of respiratory and cardiac amplitudes. Series of two-dimensional time-resolved lung images were acquired in healthy volunteers at 1.5 T using ultra-fast steady-state free precession. Qualitative lung ventilation- and perfusion-weighted images as well as a quantitative map of fractional ventilation, perfusion, and blood arrival time were calculated using the proposed MP method and compared with the contemporary FD technique. A region-of-interest analysis was performed on the quantitative data. RESULTS The signal analysis performed using MP decomposition resulted in reduced variability of the estimated respiratory and cardiac amplitudes in comparison with FD for both simulated and in vivo data. CONCLUSION MP decomposition provides an automatic, robust, and more accurate estimation of amplitudes of respiratory and cardiac signal modulations in the lung parenchyma than the contemporary FD technique. Magn Reson Med 77:336-342, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Grzegorz Bauman
- 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
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30
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Voskrebenzev A, Gutberlet M, Becker L, Wacker F, Vogel-Claussen J. Reproducibility of fractional ventilation derived by Fourier decomposition after adjusting for tidal volume with and without an MRI compatible spirometer. Magn Reson Med 2015; 76:1542-1550. [PMID: 26745750 DOI: 10.1002/mrm.26047] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 10/20/2015] [Accepted: 10/22/2015] [Indexed: 12/17/2022]
Abstract
PURPOSE To reduce the influence of tidal volume on fractional ventilation (FV) derived by Fourier decomposition (FD). METHODS Twelve volunteers were examined on a 1.5 Tesla scanner. Spoiled gradient echo imaging of coronal and sagittal slices of the lung were performed. The tidal volume variations between different acquisitions were studied by reproducibility and repeatability measurements. To adjust the FV derived by FD for tidal volume differences between the measurements, during all acquisitions, the lung volume changes were measured by a spirometer and used to calculate a global FV parameter. As an alternative, using the FD data, the lung area changes were calculated and used for the adjustment. RESULTS Reproducibility analysis of unadjusted coronal FV showed a determination coefficient of R2 = 71% and an intraclass correlation coefficient of ICC = 93%. Differences in the measurements could be ascribed to different tidal volumes. Area adjusted values exhibited an increased R2 of 84% and a higher ICC of 97%. For the coronal middle slice/sagittal slices in free breathing, the inter-volunteer coefficient of variation was reduced from 0.23/0.28 (unadjusted) to 0.16/0.20 (spirometer) or 0.12/0.13 (area). CONCLUSION The calculation of lung area changes is sufficient to increase the reproducibility of FV in a volunteer cohort avoiding the need for an MRI compatible spirometer. Magn Reson Med 76:1542-1550, 2016. © 2015 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Andreas Voskrebenzev
- Diagnostic and Interventional Radiology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Marcel Gutberlet
- Diagnostic and Interventional Radiology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Lena Becker
- Diagnostic and Interventional Radiology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Frank Wacker
- Diagnostic and Interventional Radiology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Jens Vogel-Claussen
- Diagnostic and Interventional Radiology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany.
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31
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Tiddens HAWM, Stick SM, Wild JM, Ciet P, Parker GJM, Koch A, Vogel-Claussen J. Respiratory tract exacerbations revisited: ventilation, inflammation, perfusion, and structure (VIPS) monitoring to redefine treatment. Pediatr Pulmonol 2015; 50 Suppl 40:S57-65. [PMID: 26335955 DOI: 10.1002/ppul.23266] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 07/10/2015] [Accepted: 07/13/2015] [Indexed: 12/11/2022]
Abstract
For cystic fibrosis (CF) patients older than 6 years there are convincing data that suggest respiratory tract exacerbations (RTE) play an important role in the progressive loss of functional lung tissue. There is a poor understanding of the pathobiology of RTE and whether specific treatment of RTE reduces lung damage in the long term. In addition, there are limited tools available to measure the various components of CF lung disease and responses to therapy. Therefore, in order to better understand the impact of RTE on CF lung disease we need to develop sensitive measures to characterize RTE and responses to treatment; and improve our understanding of structure-function changes during treatment of RTE. In this paper we review our current knowledge of the impact of RTE on the progression of lung disease and identify strategies to improve our understanding of the pathobiology of RTE. By improving our knowledge regarding RTE in CF we will be better positioned to develop approaches to treatment that are individualized and that can prevent permanent structural damage. We suggest the development of a ventilation, perfusion, inflammation and structure (VIPS)-MRI suite that supplies the clinician with data on ventilation, inflammation, perfusion, and structure in one MRI session. VIPS-MRI could be an important step to better understand the factors that contribute to and limit treatment efficacy of RTE.
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Affiliation(s)
- Harm A W M Tiddens
- Department of Pediatric Pulmonology and Allergology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands.,Department of Radiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Stephen M Stick
- Telethon Institute for Child Health Research, The University of Western Australia, Perth, Australia.,School of Paediatrics and Child Health Research, The University of Western Australia, Perth, Australia
| | - Jim M Wild
- Department of Academic Radiology, University of Sheffield, UK
| | - Pierluigi Ciet
- Department of Pediatric Pulmonology and Allergology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands.,Department of Radiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Geoffrey J M Parker
- Centre for Imaging Sciences, The University of Manchester, Manchester, UK.,Biomedical Imaging Institute, The University of Manchester, Manchester, UK.,Bioxydyn Limited, Manchester, UK
| | - Armin Koch
- Department of Biometry, Hannover Medical School, Hannover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
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32
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Ingrisch M, Maxien D, Meinel FG, Reiser MF, Nikolaou K, Dietrich O. Detection of pulmonary embolism with free-breathing dynamic contrast-enhanced MRI. J Magn Reson Imaging 2015; 43:887-93. [DOI: 10.1002/jmri.25050] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Revised: 09/04/2015] [Accepted: 09/04/2015] [Indexed: 11/05/2022] Open
Affiliation(s)
- Michael Ingrisch
- Josef-Lissner-Laboratory for Biomedical Imaging; Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich; Munich Germany
| | - Daniel Maxien
- Institute for Clinical Radiology; Ludwig-Maximilians-University Hospital Munich; Munich Germany
| | - Felix G. Meinel
- Institute for Clinical Radiology; Ludwig-Maximilians-University Hospital Munich; Munich Germany
| | - Maximilian F. Reiser
- Institute for Clinical Radiology; Ludwig-Maximilians-University Hospital Munich; Munich Germany
| | - Konstantin Nikolaou
- Institute for Clinical Radiology; Ludwig-Maximilians-University Hospital Munich; Munich Germany
- Department of Diagnostic and Interventional Radiology; Eberhard-Karls-University; Tübingen Germany
| | - Olaf Dietrich
- Josef-Lissner-Laboratory for Biomedical Imaging; Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich; Munich Germany
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33
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Bauman G, Pusterla O, Bieri O. Ultra-fast Steady-State Free Precession Pulse Sequence for Fourier Decomposition Pulmonary MRI. Magn Reson Med 2015; 75:1647-53. [DOI: 10.1002/mrm.25697] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Revised: 02/23/2015] [Accepted: 02/24/2015] [Indexed: 11/07/2022]
Affiliation(s)
- Grzegorz Bauman
- Division of Radiological Physics, Department of Radiology; University of Basel Hospital; Basel Switzerland
| | - Orso Pusterla
- Division of Radiological Physics, Department of Radiology; University of Basel Hospital; Basel Switzerland
| | - Oliver Bieri
- Division of Radiological Physics, Department of Radiology; University of Basel Hospital; Basel Switzerland
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