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Ma P, Zhu L, Wen R, Lv F, Li Y, Li X, Zhang Z. Revolutionizing vascular imaging: trends and future directions of 4D flow MRI based on a 20-year bibliometric analysis. Quant Imaging Med Surg 2024; 14:1873-1890. [PMID: 38415143 PMCID: PMC10895087 DOI: 10.21037/qims-23-1227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/08/2023] [Indexed: 02/29/2024]
Abstract
Background Four-dimensional flow magnetic resonance imaging (4D flow MRI) is a promising new technology with potential clinical value in hemodynamic quantification. Although an increasing number of articles on 4D flow MRI have been published over the past decades, few studies have statistically analyzed these published articles. In this study, we aimed to perform a systematic and comprehensive bibliometric analysis of 4D flow MRI to explore the current hotspots and potential future directions. Methods The Web of Science Core Collection searched for literature on 4D flow MRI between 2003 and 2022. CiteSpace was utilized to analyze the literature data, including co-citation, cooperative network, cluster, and burst keyword analysis. Results A total of 1,069 articles were extracted for this study. The main research hotspots included the following: quantification and visualization of blood flow in different clinical settings, with keywords such as "cerebral aneurysm", "heart", "great vessel", "tetralogy of Fallot", "portal hypertension", and "stiffness"; optimization of image acquisition schemes, such as "resolution" and "reconstruction"; measurement and analysis of flow components and patterns, as indicated by keywords "pattern", "KE", "WSS", and "fluid dynamics". In addition, international consensus for metrics derived from 4D flow MRI and multimodality imaging may also be the future research direction. Conclusions The global domain of 4D flow MRI has grown over the last 2 decades. In the future, 4D flow MRI will evolve towards becoming a relatively short scan duration with adequate spatiotemporal resolution, expansion into the diagnosis and treatment of vascular disease in other related organs, and a shift in focus from vascular structure to function. In addition, artificial intelligence (AI) will assist in the clinical promotion and application of 4D flow MRI.
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Affiliation(s)
- Peisong Ma
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lishu Zhu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ru Wen
- Department of Radiology, Guizhou Provincial People Hospital, Guiyang, China
| | - Fajin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinyou Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiwei Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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2
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Burkhardt BEU, Kellenberger CJ, Callaghan FM, Valsangiacomo Buechel ER, Geiger J. Flow evaluation software for four-dimensional flow MRI: a reliability and validation study. LA RADIOLOGIA MEDICA 2023; 128:1225-1235. [PMID: 37620674 PMCID: PMC10547653 DOI: 10.1007/s11547-023-01697-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023]
Abstract
PURPOSE Four-dimensional time-resolved phase-contrast cardiovascular magnetic resonance imaging (4D flow MRI) enables blood flow quantification in multiple vessels, which is crucial for patients with congenital heart disease (CHD). We investigated net flow volumes in the ascending aorta and pulmonary arteries by four different postprocessing software packages for 4D flow MRI in comparison with 2D cine phase-contrast measurements (2D PC). MATERIAL AND METHODS 4D flow and 2D PC datasets of 47 patients with biventricular CHD (median age 16, range 0.6-52 years) were acquired at 1.5 T. Net flow volumes in the ascending aorta, the main, right, and left pulmonary arteries were measured using four different postprocessing software applications and compared to offset-corrected 2D PC data. Reliability of 4D flow postprocessing software was assessed by Bland-Altman analysis and intraclass correlation coefficient (ICC). Linear regression of internal flow controls was calculated. Interobserver reproducibility was evaluated in 25 patients. RESULTS Correlation and agreement of flow volumes were very good for all software compared to 2D PC (ICC ≥ 0.94; bias ≤ 5%). Internal controls were excellent for 2D PC (r ≥ 0.95, p < 0.001) and 4D flow (r ≥ 0.94, p < 0.001) without significant difference of correlation coefficients between methods. Interobserver reliability was good for all vendors (ICC ≥ 0.94, agreement bias < 8%). CONCLUSION Haemodynamic information from 4D flow in the large thoracic arteries assessed by four commercially available postprocessing applications matches routinely performed 2D PC values. Therefore, we consider 4D flow MRI-derived data ready for clinical use in patients with CHD.
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Affiliation(s)
- Barbara Elisabeth Ursula Burkhardt
- Paediatric Cardiology, Pediatric Heart Center, Department of Surgery, University Children's Hospital Zürich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland.
| | - Christian Johannes Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Fraser Maurice Callaghan
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Emanuela Regina Valsangiacomo Buechel
- Paediatric Cardiology, Pediatric Heart Center, Department of Surgery, University Children's Hospital Zürich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
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3
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Alattar Y, Soulat G, Gencer U, Messas E, Bollache E, Kachenoura N, Mousseaux E. Left ventricular diastolic early and late filling quantified from 4D flow magnetic resonance imaging. Diagn Interv Imaging 2022; 103:345-352. [DOI: 10.1016/j.diii.2022.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/17/2022] [Accepted: 02/09/2022] [Indexed: 01/02/2023]
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4
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Corrado PA, Seiter DP, Wieben O. Automatic measurement plane placement for 4D Flow MRI of the great vessels using deep learning. Int J Comput Assist Radiol Surg 2022; 17:199-210. [PMID: 34403045 PMCID: PMC8851604 DOI: 10.1007/s11548-021-02475-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/03/2021] [Indexed: 01/03/2023]
Abstract
PURPOSE Despite the great potential and flexibility of 4D flow MRI for hemodynamic analysis, a major limitation is the need for time-consuming and user-dependent post-processing. We propose a fast four-step algorithm for rapid, robust, and repeatable flow measurements in the great vessels based on automatic placement of measurement planes and vessel segmentation. METHODS Our algorithm works by (1) subsampling the 3D image into 3D patches, (2) predicting the probability of each patch containing individual vessels and location/orientation of the vessel within the patch via a convolutional neural network, (3) selecting the predicted planes with highest probabilities for each vessel, and (4) shifting the plane centers to the maximum velocity within each plane. The method was trained on 283 scans and evaluated on 40 unseen scans by comparing algorithm-derived processing times, plane locations, and flow measurements to those of two manual observers (graduate students) using t-tests, Pearson correlation, and Bland-Altman analysis. RESULTS The average processing time for the algorithm (18 s) was shorter than observer 1 (362 s; P < 0.001) and observer 2 (317 s; P < 0.001). The distance between planes placed by the algorithm and those placed by manual observers was slightly greater (O1 vs. algorithm: 9.0 mm, O2 vs. algorithm: 10.3 mm) than the distance between planes placed by the two manual observers (8.3 mm). The correlation between flow values for planes placed by the algorithm and those placed by manual observers was slightly lower (O1 vs. algorithm: R = 0.68, O2 vs. algorithm: R = 0.72) than the flow correlation between the two manual observers (R = 0.81). CONCLUSION Our method is a feasible and accurate approach for fast, reproducible, and automated flow measurement and visualization in 4D flow MRI of the great vessels, with similar variability compared to a manual annotator as the variability between two manual observers. This approach could be applied in other anatomical regions.
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Affiliation(s)
- Philip A Corrado
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
| | - Daniel P Seiter
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Oliver Wieben
- Departments of Medical Physics and Radiology, University of Wisconsin-Madison, Madison, WI, USA
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5
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Doyle CM, Orr J, Greenwood JP, Plein S, Tsoumpas C, Bissell MM. Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Blood Flow in the Heart and Great Vessels: A Systematic Review. J Magn Reson Imaging 2021; 55:1301-1321. [PMID: 34416048 DOI: 10.1002/jmri.27874] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 12/28/2022] Open
Abstract
Four-dimensional (4D) flow magnetic resonance imaging (MRI) allows multidirectional quantification of blood flow in the heart and great vessels. Comparability of the technique to the current reference standards of flow assessment-two-dimensional (2D) flow MRI and Doppler echocardiography-varies in the literature. Image acquisition parameters likely impact upon the accuracy and reproducibility of 4D flow MRI. We therefore sought to review the current literature on 4D flow MRI in the heart and great vessels, in comparison to 2D flow MRI, Doppler echocardiography, and invasive catheterization. Using a predefined search strategy and inclusion and exclusion criteria, the databases EMBASE and Medline were searched in January 2021 for peer-reviewed research articles comparing cardiac 4D flow MRI to 2D flow MRI, Doppler echocardiography and/or invasive catheterization. The data from all relevant articles were assimilated and analyzed using Mann-Whitney U and chi χ2 test. Forty-four manuscripts met the eligibility criteria and were included in the review. The review showed agreement of 4D flow MRI to the reference standard methods of flow assessment, particular in the measurement of peak velocity and stroke volume in 55% of manuscripts. The use of valve tracking significantly improves agreement between 4D flow MRI and the reference modalities (79% matching with the use of valve tracking vs. 50% without, P = 0.04). This review highlights that the impact of acquisition parameters on 4D flow MRI accuracy is multifactorial. It is therefore important that each center conducts its own quality assurance prior to using 4D flow MRI for clinical decision-making. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ciara M Doyle
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Jenny Orr
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - John P Greenwood
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Charalampos Tsoumpas
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK.,Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
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Corrado PA, Barton GP, Francois CJ, Wieben O, Goss KN. Sildenafil administration improves right ventricular function on 4D flow MRI in young adults born premature. Am J Physiol Heart Circ Physiol 2021; 320:H2295-H2304. [PMID: 33861148 PMCID: PMC8289359 DOI: 10.1152/ajpheart.00824.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 03/30/2021] [Accepted: 04/13/2021] [Indexed: 11/22/2022]
Abstract
Extreme preterm birth conveys an elevated risk of heart failure by young adulthood. Smaller biventricular chamber size, diastolic dysfunction, and pulmonary hypertension may contribute to reduced ventricular-vascular coupling. However, how hemodynamic manipulations may affect right ventricular (RV) function and coupling remains unknown. As a pilot study, 4D flow MRI was used to assess the effect of afterload reduction and heart rate reduction on cardiac hemodynamics and function. Young adults born premature were administered sildenafil (a pulmonary vasodilator) and metoprolol (a β blocker) on separate days, and MRI with 4D flow completed before and after each drug administration. Endpoints include cardiac index (CI), direct flow fractions, and ventricular kinetic energy including E/A wave kinetic energy ratio. Sildenafil resulted in a median CI increase of 0.24 L/min/m2 (P = 0.02), mediated through both an increase in heart rate (HR) and stroke volume. Although RV ejection fraction improved only modestly, there was a significant increase (4% of end diastolic volume) in RV direct flow fraction (P = 0.04), consistent with hemodynamic improvement. Metoprolol administration resulted in a 5-beats/min median decrease in HR (P = 0.01), a 0.37 L/min/m2 median decrease in CI (P = 0.04), and a reduction in time-averaged kinetic energy (KE) in both ventricles (P < 0.01), despite increased RV diastolic E/A KE ratio (P = 0.04). Despite reduced right atrial workload, metoprolol significantly depressed overall cardiac systolic function. Sildenafil, however, increased CI and improved RV function, as quantified by the direct flow fraction. The preterm heart appears dependent on HR but sensitive to RV afterload manipulations.NEW & NOTEWORTHY We assessed the effect of right ventricular afterload reduction with sildenafil and heart rate reduction with metoprolol on cardiac hemodynamics and function in young adults born premature using 4D flow MRI. Metoprolol depressed cardiac function, whereas sildenafil improved cardiac function including right ventricular direct flow fraction by 4D flow, consistent with hemodynamic improvement. This suggests that the preterm heart is dependent on heart rate and sensitive to right ventricular afterload changes.
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Affiliation(s)
- Philip A Corrado
- Department of Medical Physics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
| | - Gregory P Barton
- Department of Medical Physics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
- Department of Medicine, University of Texas Southwestern, Dallas, Texas
| | - Christopher J Francois
- Department of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Oliver Wieben
- Department of Medical Physics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
- Department of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
| | - Kara N Goss
- Department of Medicine, University of Texas Southwestern, Dallas, Texas
- Department of Pediatrics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
- Department of Medicine. University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin
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7
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Mekonnen BK, Hsieh TH, Tsai DF, Liaw SK, Yang FL, Huang SL. Generation of Augmented Capillary Network Optical Coherence Tomography Image Data of Human Skin for Deep Learning and Capillary Segmentation. Diagnostics (Basel) 2021; 11:685. [PMID: 33920273 PMCID: PMC8068996 DOI: 10.3390/diagnostics11040685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 03/27/2021] [Accepted: 04/01/2021] [Indexed: 01/16/2023] Open
Abstract
The segmentation of capillaries in human skin in full-field optical coherence tomography (FF-OCT) images plays a vital role in clinical applications. Recent advances in deep learning techniques have demonstrated a state-of-the-art level of accuracy for the task of automatic medical image segmentation. However, a gigantic amount of annotated data is required for the successful training of deep learning models, which demands a great deal of effort and is costly. To overcome this fundamental problem, an automatic simulation algorithm to generate OCT-like skin image data with augmented capillary networks (ACNs) in a three-dimensional volume (which we called the ACN data) is presented. This algorithm simultaneously acquires augmented FF-OCT and corresponding ground truth images of capillary structures, in which potential functions are introduced to conduct the capillary pathways, and the two-dimensional Gaussian function is utilized to mimic the brightness reflected by capillary blood flow seen in real OCT data. To assess the quality of the ACN data, a U-Net deep learning model was trained by the ACN data and then tested on real in vivo FF-OCT human skin images for capillary segmentation. With properly designed data binarization for predicted image frames, the testing result of real FF-OCT data with respect to the ground truth achieved high scores in performance metrics. This demonstrates that the proposed algorithm is capable of generating ACN data that can imitate real FF-OCT skin images of capillary networks for use in research and deep learning, and that the model for capillary segmentation could be of wide benefit in clinical and biomedical applications.
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Affiliation(s)
- Bitewulign Kassa Mekonnen
- Graduate Institute of Electro-Optical Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec. 4, Da’an Dist., Taipei City 10607, Taiwan; (B.K.M.); (S.-K.L.)
- Research Center for Applied Sciences, Academia Sinica, No. 128, Academia Rd., Sec. 2, Nankang, Taipei City 11529, Taiwan; (D.-F.T.); (F.-L.Y.)
| | - Tung-Han Hsieh
- Research Center for Applied Sciences, Academia Sinica, No. 128, Academia Rd., Sec. 2, Nankang, Taipei City 11529, Taiwan; (D.-F.T.); (F.-L.Y.)
| | - Dian-Fu Tsai
- Research Center for Applied Sciences, Academia Sinica, No. 128, Academia Rd., Sec. 2, Nankang, Taipei City 11529, Taiwan; (D.-F.T.); (F.-L.Y.)
| | - Shien-Kuei Liaw
- Graduate Institute of Electro-Optical Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec. 4, Da’an Dist., Taipei City 10607, Taiwan; (B.K.M.); (S.-K.L.)
| | - Fu-Liang Yang
- Research Center for Applied Sciences, Academia Sinica, No. 128, Academia Rd., Sec. 2, Nankang, Taipei City 11529, Taiwan; (D.-F.T.); (F.-L.Y.)
- Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec. 4, Da’an Dist., Taipei City 10607, Taiwan
| | - Sheng-Lung Huang
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei City 10617, Taiwan;
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Williams G, Thyagaraj S, Fu A, Oshinski J, Giese D, Bunck AC, Fornari E, Santini F, Luciano M, Loth F, Martin BA. In vitro evaluation of cerebrospinal fluid velocity measurement in type I Chiari malformation: repeatability, reproducibility, and agreement using 2D phase contrast and 4D flow MRI. Fluids Barriers CNS 2021; 18:12. [PMID: 33736664 PMCID: PMC7977612 DOI: 10.1186/s12987-021-00246-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/03/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Phase contrast magnetic resonance imaging, PC MRI, is a valuable tool allowing for non-invasive quantification of CSF dynamics, but has lacked adoption in clinical practice for Chiari malformation diagnostics. To improve these diagnostic practices, a better understanding of PC MRI based measurement agreement, repeatability, and reproducibility of CSF dynamics is needed. METHODS An anatomically realistic in vitro subject specific model of a Chiari malformation patient was scanned three times at five different scanning centers using 2D PC MRI and 4D Flow techniques to quantify intra-scanner repeatability, inter-scanner reproducibility, and agreement between imaging modalities. Peak systolic CSF velocities were measured at nine axial planes using 2D PC MRI, which were then compared to 4D Flow peak systolic velocity measurements extracted at those exact axial positions along the model. RESULTS Comparison of measurement results showed good overall agreement of CSF velocity detection between 2D PC MRI and 4D Flow (p = 0.86), fair intra-scanner repeatability (confidence intervals ± 1.5 cm/s), and poor inter-scanner reproducibility. On average, 4D Flow measurements had a larger variability than 2D PC MRI measurements (standard deviations 1.83 and 1.04 cm/s, respectively). CONCLUSION Agreement, repeatability, and reproducibility of 2D PC MRI and 4D Flow detection of peak CSF velocities was quantified using a patient-specific in vitro model of Chiari malformation. In combination, the greatest factor leading to measurement inconsistency was determined to be a lack of reproducibility between different MRI centers. Overall, these findings may help lead to better understanding for application of 2D PC MRI and 4D Flow techniques as diagnostic tools for CSF dynamics quantification in Chiari malformation and related diseases.
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Affiliation(s)
- Gwendolyn Williams
- Department of Chemical and Biological Engineering, University of Idaho, 875 Perimeter Dr. MC1122, Moscow, ID, 83844, USA
| | - Suraj Thyagaraj
- Department of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, 44325, USA
| | - Audrey Fu
- Department of Mathematics and Statistical Science, University of Idaho, Moscow, ID, 83844, USA
| | - John Oshinski
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Daniel Giese
- Department of Radiology, University Hospital of Cologne, Cologne, Germany
| | - Alexander C Bunck
- Department of Radiology, University Hospital of Cologne, Cologne, Germany
| | - Eleonora Fornari
- CIBM, Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Francesco Santini
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Mark Luciano
- Department of Neurosurgery, John Hopkins University, Baltimore, MD, USA
| | - Francis Loth
- Department of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, 44325, USA
| | - Bryn A Martin
- Department of Chemical and Biological Engineering, University of Idaho, 875 Perimeter Dr. MC1122, Moscow, ID, 83844, USA.
- Alcyone Therapeutics Inc, Lowell, MA, USA.
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9
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Kroeger JR, Pavesio FC, Mörsdorf R, Weiss K, Bunck AC, Baeßler B, Maintz D, Giese D. Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR. Eur J Radiol 2021; 137:109570. [PMID: 33596498 DOI: 10.1016/j.ejrad.2021.109570] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 01/25/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND To evaluate the feasibility of a k-t accelerated multi-VENC 4D phase contrast flow MRI acquisition of the main heart-surrounding vessels, its benefits over a traditional single-VENC acquisition and to present reference flow and velocity values in a large cohort of volunteers. METHODS 44 healthy volunteers were examined on a 3 T MRI scanner (Ingenia, Philips, Best, The Netherlands). 4D flow measurements were obtained with a FOV including the aorta and the pulmonary arteries. VENC values were set to 40, 100 and 200 cm/s and unfolded based on an MRI signal model. Unfolded multi-VENC data was compared to the single-VENC with VENC 200 cm/s. Flow and velocity quantification was performed in several regions of interest (ROI) placed in the ascending aorta and in the main pulmonary artery. Conservation of mass analysis was performed for single- and multi-VENC datasets. Values for mean and maximal flow velocity and stroke volume were calculated and compared to the literature. RESULTS Mean scan time was 13.8 ± 4 min. Differences between stroke volumes between the ascending aorta and the main pulmonary artery were significantly lower in multi-VENC datasets compared to single-VENC datasets (9.6 ± 7.8 mL vs. 25.4 ± 26.4 mL, p < 0.001). This was also true for differences in stroke volume between up- and downstream ROIs in the ascending aorta and pulmonary artery. Values for mean and maximal velocities and stroke volume were in-line with previous studies. To highlight potential clinical applications two exemplary 4D flow measurements in patients with different pathologies are shown and compared to single-VENC datasets. CONCLUSIONS k-t accelerated multi-VENC 4D phase contrast flow MRI acquisition of the great vessels is feasible in a clinically acceptable scan duration. It offers improvements over traditional single-VENC 4D flow, expectedly being valuable when vessels with different flow velocities or complex flow phenomena are evaluated.
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Affiliation(s)
- Jan Robert Kroeger
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Germany.
| | - Francesca Claudia Pavesio
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Richard Mörsdorf
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Kilian Weiss
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Philips GmbH, Hamburg, Germany.
| | - Alexander Christian Bunck
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Bettina Baeßler
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
| | - David Maintz
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Daniel Giese
- Department of Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
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10
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Geiger J, Callaghan FM, Burkhardt BEU, Valsangiacomo Buechel ER, Kellenberger CJ. Additional value and new insights by four-dimensional flow magnetic resonance imaging in congenital heart disease: application in neonates and young children. Pediatr Radiol 2021; 51:1503-1517. [PMID: 33313980 PMCID: PMC8266722 DOI: 10.1007/s00247-020-04885-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/08/2020] [Accepted: 10/12/2020] [Indexed: 12/12/2022]
Abstract
Cardiovascular MRI has become an essential imaging modality in children with congenital heart disease (CHD) in the last 15-20 years. With use of appropriate sequences, it provides important information on cardiovascular anatomy, blood flow and function for initial diagnosis and post-surgical or -interventional monitoring in children. Although considered as more sophisticated and challenging than CT, in particular in neonates and infants, MRI is able to provide information on intra- and extracardiac haemodynamics, in contrast to CT. In recent years, four-dimensional (4-D) flow MRI has emerged as an additional MR technique for retrospective assessment and visualisation of blood flow within the heart and any vessel of interest within the acquired three-dimensional (3-D) volume. Its application in young children requires special adaptations for the smaller vessel size and faster heart rate compared to adolescents or adults. In this article, we provide an overview of 4-D flow MRI in various types of complex CHD in neonates and infants to demonstrate its potential indications and beneficial application for optimised individual cardiovascular assessment. We focus on its application in clinical routine cardiovascular workup and, in addition, show some examples with pathologies other than CHD to highlight that 4-D flow MRI yields new insights in disease understanding and therapy planning. We shortly review the essentials of 4-D flow data acquisition, pre- and post-processing techniques in neonates, infants and young children. Finally, we conclude with some details on accuracy, limitations and pitfalls of the technique.
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Affiliation(s)
- Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr 75, 8032, Zürich, Switzerland. .,Children's Research Centre, University Children's Hospital Zürich, Zürich, Switzerland.
| | - Fraser M. Callaghan
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Center for MR research, University Children’s Hospital Zürich, Zürich, Switzerland
| | - Barbara E. U. Burkhardt
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Emanuela R. Valsangiacomo Buechel
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Christian J. Kellenberger
- Department of Diagnostic Imaging, University Children’s Hospital Zürich, Steinwiesstr 75, 8032 Zürich, Switzerland ,Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland
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Validation of non-contrast multiple overlapping thin-slab 4D-flow cardiac magnetic resonance imaging. Magn Reson Imaging 2020; 74:223-231. [PMID: 33035638 DOI: 10.1016/j.mri.2020.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/04/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) flow quantification is typically performed using 2D phase-contrast (PC) imaging of a plane perpendicular to flow. 3D-PC imaging (4D-flow) allows offline quantification anywhere in a thick slab, but is often limited by suboptimal signal, potentially alleviated by contrast enhancement. We developed a non-contrast 4D-flow sequence, which acquires multiple overlapping thin slabs (MOTS) to minimize signal loss, and hypothesized that it could improve image quality, diagnostic accuracy, and aortic flow measurements compared to non-contrast single-slab approach. METHODS We prospectively studied 20 patients referred for transesophageal echocardiography (TEE), who underwent CMR (GE, 3 T). 2D-PC images of the aortic valve and three 4D-flow datasets covering the heart were acquired, including single-slab, pre- and post-contrast, and non-contrast MOTS. Each 4D-flow dataset was interpreted blindly for ≥moderate valve disease and compared to TEE. Flow visualization through each valve was scored (0 to 4), and aortic-valve flow measured on each 4D-flow dataset and compared to 2D-PC reference. RESULTS Diagnostic quality visualization was achieved with the pre- and post-contrast 4D-flow acquisitions in 25% and 100% valves, respectively (scores 0.9 ± 1.1 and 3.8 ± 0.5), and in 58% with the non-contrast MOTS (1.6 ± 1.1). Accuracy of detection of valve disease was 75%, 92% and 82%, respectively. Aortic flow measurements were possible in 53%, 95% and in 89% patients, respectively. The correlation between pre-contrast single-slab measurements and 2D-PC reference was weak (r = 0.21), but improved with both contrast enhancement (r = 0.71) and with MOTS (r = 0.67). CONCLUSIONS Although non-contrast MOTS 4D-flow improves valve function visualization and diagnostic accuracy, a significant proportion of valves cannot be accurately assessed. However, aortic flow measurements using non-contrast MOTS is feasible and reaches similar accuracy to that of contrast-enhanced 4D-flow.
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Macdonald JA, Beshish AG, Corrado PA, Barton GP, Goss KN, Eldridge MW, François CJ, Wieben O. Feasibility of Cardiovascular Four-dimensional Flow MRI during Exercise in Healthy Participants. Radiol Cardiothorac Imaging 2020; 2:e190033. [PMID: 32734274 DOI: 10.1148/ryct.2020190033] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 11/04/2019] [Accepted: 12/23/2019] [Indexed: 11/11/2022]
Abstract
Purpose To explore the feasibility of using four-dimensional (4D) flow MRI to quantify blood flow and kinetic energy (KE) in the heart during strenuous exercise. Materials and Methods For this prospective study, cardiac 4D flow MRI was performed in 11 healthy young adult participants (eight men, three women; mean age, 26 years ± 1 [standard deviation]) at rest and during exercise with an MRI-compatible exercise stepper between March 2016 and July 2017. Flow was measured in the ascending aorta (AAo) and main pulmonary artery (MPA). KE was quantified in the left and right ventricle. Significant changes in flow and KE during exercise were identified by using t tests. Repeatability was assessed with inter- and intraobserver comparisons and an analysis of internal flow consistency. Results Nine participants successfully completed both rest and exercise imaging. Internal flow consistency analysis in systemic and pulmonary circulation showed average relative differences of 10% at rest and 16% during exercise. For flow measurements in the AAo and MPA, relative differences between observers never exceeded 6% in any vessel and showed excellent correlation, even during exercise. Relative differences were increased for KE, typically on the order of 30%, with poor interobserver correlation between measurements. Conclusion Four-dimensional flow MRI can quantify increases in flow in the AAo and MPA during strenuous exercise and is highly repeatable. KE had reduced repeatability because of suboptimal segmentation methods and requires further development before clinical implementation. Supplemental material is available for this article. © RSNA, 2020See also the commentary by Markl and Lee in this issue.
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Affiliation(s)
- Jacob A Macdonald
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Arij G Beshish
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Philip A Corrado
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Gregory P Barton
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Kara N Goss
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Marlowe W Eldridge
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Christopher J François
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
| | - Oliver Wieben
- Departments of Medical Physics (J.A.M., P.A.C., O.W.), Pediatrics (A.G.B., G.P.B., K.N.G., M.W.E.), Medicine (K.N.G.), Biomedical Engineering (M.W.E., O.W.), and Radiology (C.J.F., O.W.), University of Wisconsin, 1111 Highland Ave, Room 1005, Madison, WI 53705
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Abstract
Magnetic resonance imaging (MRI) has become an important tool for the clinical evaluation of patients with cardiac and vascular diseases. Since its introduction in the late 1980s, quantitative flow imaging with MRI has become a routine part of standard-of-care cardiothoracic and vascular MRI for the assessment of pathological changes in blood flow in patients with cardiovascular disease. More recently, time-resolved flow imaging with velocity encoding along all three flow directions and three-dimensional (3D) anatomic coverage (4D flow MRI) has been developed and applied to enable comprehensive 3D visualization and quantification of hemodynamics throughout the human circulatory system. This article provides an overview of the use of 4D flow applications in different cardiac and vascular regions in the human circulatory system, with a focus on using 4D flow MRI in cardiothoracic and cerebrovascular diseases.
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Affiliation(s)
- Gilles Soulat
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Patrick McCarthy
- Division of Cardiac Surgery, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois 60208, USA
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Corrado PA, Macdonald JA, François CJ, Aggarwal NR, Weinsaft JW, Wieben O. Reduced regional flow in the left ventricle after anterior acute myocardial infarction: a case control study using 4D flow MRI. BMC Med Imaging 2019; 19:101. [PMID: 31888531 PMCID: PMC6937788 DOI: 10.1186/s12880-019-0404-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 12/18/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Acute myocardial infarction (AMI) alters left ventricular (LV) hemodynamics, resulting in decreased global LV ejection fraction and global LV kinetic energy. We hypothesize that anterior AMI effects localized alterations in LV flow and developed a regional approach to analyze these local changes with 4D flow MRI. METHODS 4D flow cardiac magnetic resonance (CMR) data was compared between 12 anterior AMI patients (11 males; 66 ± 12yo; prospectively acquired in 2016-2017) and 19 healthy volunteers (10 males; 40 ± 16yo; retrospective from 2010 to 2011 study). The LV cavity was contoured on short axis cine steady-state free procession CMR and partitioned into three regions: base, mid-ventricle, and apex. 4D flow data was registered to the short axis segmentation. Peak systolic and diastolic through-plane flows were compared region-by-region between groups using linear models of flow with age, sex, and heart rate as covariates. RESULTS Peak systolic flow was reduced in anterior AMI subjects compared to controls in the LV mid-ventricle (fitted reduction = 3.9 L/min; P = 0.01) and apex (fitted reduction = 1.4 L/min; P = 0.02). Peak diastolic flow was also lower in anterior AMI subjects compared to controls in the apex (fitted reduction = 2.4 L/min; P = 0.01). CONCLUSIONS A regional method to analyze 4D LV flow data was applied in anterior AMI patients and controls. Anterior AMI patients had reduced regional flow relative to controls.
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Affiliation(s)
- Philip A. Corrado
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA
| | - Jacob A. Macdonald
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA
| | - Christopher J. François
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792 USA
| | - Niti R. Aggarwal
- Department of Medicine, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792 USA
| | - Jonathan W. Weinsaft
- Departments of Medicine and Radiology, Weill Cornell Medical College, 520 East 70th Street, Starr Pavilion, 4th Floor, New York, NY 10021 USA
| | - Oliver Wieben
- Departments of Medical Physics and Radiology, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA
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Sieren MM, Berlin C, Oechtering TH, Hunold P, Drömann D, Barkhausen J, Frydrychowicz A. Comparison of 4D Flow MRI to 2D Flow MRI in the pulmonary arteries in healthy volunteers and patients with pulmonary hypertension. PLoS One 2019; 14:e0224121. [PMID: 31648286 PMCID: PMC6812822 DOI: 10.1371/journal.pone.0224121] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 10/06/2019] [Indexed: 01/23/2023] Open
Abstract
Purpose 4D and 2D phase-contrast MRI (2D Flow MRI, 4D Flow MRI, respectively) are increasingly being used to noninvasively assess pulmonary hypertension (PH). The goals of this study were i) to evaluate whether established quantitative parameters in 2D Flow MRI associated with pulmonary hypertension can be assessed using 4D Flow MRI; ii) to compare results from 4D Flow MRI on a digital broadband 3T MR system with data from clinically established MRI-techniques as well as conservation of mass analysis and phantom correction and iii) to elaborate on the added value of secondary flow patterns in detecting PH. Methods 11 patients with PH (4f, 63 ± 16y), 15 age-matched healthy volunteers (9f, 56 ± 11y), and 20 young healthy volunteers (13f, 23 ± 2y) were scanned on a 3T MR scanner (Philips Ingenia). Subjects were examined with a 4D Flow, a 2D Flow and a bSSFP sequence. For extrinsic comparison, quantitative parameters measured with 4D Flow MRI were compared to i) a static phantom, ii) 2D Flow acquisitions and iii) stroke volume derived from a bSSFP sequence. For intrinsic comparison conservation of mass-analysis was employed. Dedicated software was used to extract various flow, velocity, and anatomical parameters. Visualization of blood flow was performed to detect secondary flow patterns. Results Overall, there was good agreement between all techniques, 4D Flow results revealed a considerable spread. Data improved after phantom correction. Both 4D and 2D Flow MRI revealed concordant results to differentiate patients from healthy individuals, especially based on values derived from anatomical parameters. The visualization of a vortex, indicating the presence of PH was achieved in 9 /11 patients and 2/35 volunteers. Discussion This study confirms that quantitative parameters used for characterizing pulmonary hypertension can be gathered using 4D Flow MRI within clinically reasonable limits of agreement. Despite its unfavorable spatial and lesser temporal resolution and a non-neglible spread of results, the identification of diseased study participants was possible.
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Affiliation(s)
- Malte Maria Sieren
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
- * E-mail:
| | - Clara Berlin
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Thekla Helene Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Peter Hunold
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Daniel Drömann
- Department of Pneumology, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Jörg Barkhausen
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
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Bollache E, Knott KD, Jarvis K, Boubertakh R, Dolan RS, Camaioni C, Collins L, Scully P, Rabin S, Treibel T, Carr JC, van Ooij P, Collins JD, Geiger J, Moon JC, Barker AJ, Petersen SE, Markl M. Two-Minute k-Space and Time-accelerated Aortic Four-dimensional Flow MRI: Dual-Center Study of Feasibility and Impact on Velocity and Wall Shear Stress Quantification. Radiol Cardiothorac Imaging 2019; 1:e180008. [PMID: 32076666 DOI: 10.1148/ryct.2019180008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/12/2019] [Accepted: 04/23/2019] [Indexed: 01/12/2023]
Abstract
Purpose To investigate the two-center feasibility of highly k-space and time (k-t)-accelerated 2-minute aortic four-dimensional (4D) flow MRI and to evaluate its performance for the quantification of velocities and wall shear stress (WSS). Materials and Methods This cross-sectional study prospectively included 68 participants (center 1, 11 healthy volunteers [mean age ± standard deviation, 61 years ± 15] and 16 patients with aortic disease [mean age, 60 years ± 10]; center 2, 14 healthy volunteers [mean age, 38 years ± 13] and 27 patients with aortic or cardiac disease [mean age, 78 years ± 18]). Each participant underwent highly accelerated 4D flow MRI (k-t acceleration, acceleration factor of 5) of the thoracic aorta. For comparison, conventional 4D flow MRI (acceleration factor of 2) was acquired in the participants at center 1 (n = 27). Regional aortic peak systolic velocities and three-dimensional WSS were quantified. Results k-t-accelerated scan times (center 1, 2:03 minutes ± 0:29; center 2, 2:06 minutes ± 0:20) were significantly reduced compared with conventional 4D flow MRI (center 1, 12:38 minutes ± 2:25; P < .0001). Overall good agreement was found between the two techniques (absolute differences ≤15%), but proximal aortic WSS was significantly underestimated in patients by using k-t-accelerated 4D flow when compared with conventional 4D flow (P ≤ .03). k-t-accelerated 4D flow MRI was reproducible (intra- and interobserver intraclass correlation coefficient ≥0.98) and identified significantly increased peak velocities and WSS in patients with stenotic (P ≤ .003) or bicuspid (P ≤ .04) aortic valves compared with healthy volunteers. In addition, k-t-accelerated 4D flow MRI-derived velocities and WSS were inversely related to age (r ≥-0.53; P ≤ .03) over all healthy volunteers. Conclusion k-t-accelerated aortic 4D flow MRI providing 2-minute scan times was feasible and reproducible at two centers. Although consistent healthy aging- and disease-related changes in aortic hemodynamics were observed, care should be taken when considering WSS, which can be underestimated in patients.© RSNA, 2019See also the commentary by François in this issue.
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Affiliation(s)
- Emilie Bollache
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Kristopher D Knott
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Kelly Jarvis
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Redha Boubertakh
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Ryan Scott Dolan
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Claudia Camaioni
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Louise Collins
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Paul Scully
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Sydney Rabin
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Thomas Treibel
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - James C Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Pim van Ooij
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Jeremy D Collins
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Julia Geiger
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - James C Moon
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Alex J Barker
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Steffen E Petersen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
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18
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Bock J, Töger J, Bidhult S, Markenroth Bloch K, Arvidsson P, Kanski M, Arheden H, Testud F, Greiser A, Heiberg E, Carlsson M. Validation and reproducibility of cardiovascular 4D-flow MRI from two vendors using 2 × 2 parallel imaging acceleration in pulsatile flow phantom and in vivo with and without respiratory gating. Acta Radiol 2019; 60:327-337. [PMID: 30479136 PMCID: PMC6402051 DOI: 10.1177/0284185118784981] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background 4D-flow magnetic resonance imaging (MRI) is increasingly used. Purpose To validate 4D-flow sequences in phantom and in vivo, comparing volume flow
and kinetic energy (KE) head-to-head, with and without respiratory
gating. Material and Methods Achieva dStream (Philips Healthcare) and MAGNETOM Aera (Siemens Healthcare)
1.5-T scanners were used. Phantom validation measured pulsatile,
three-dimensional flow with 4D-flow MRI and laser particle imaging
velocimetry (PIV) as reference standard. Ten healthy participants underwent
three cardiac MRI examinations each, consisting of cine-imaging, 2D-flow
(aorta, pulmonary artery), and 2 × 2 accelerated 4D-flow with (Resp+) and
without (Resp−) respiratory gating. Examinations were acquired consecutively
on both scanners and one examination repeated within two weeks. Volume flow
in the great vessels was compared between 2D- and 4D-flow. KE were
calculated for all time phases and voxels in the left ventricle. Results Phantom results showed high accuracy and precision for both scanners.
In vivo, higher accuracy and precision (P < 0.001) was
found for volume flow for the Aera prototype with Resp+ (–3.7 ± 10.4 mL,
r = 0.89) compared to the Achieva product sequence (–17.8 ± 18.6 mL,
r = 0.56). 4D-flow Resp− on Aera had somewhat larger bias (–9.3 ± 9.6 mL,
r = 0.90) compared to Resp+ (P = 0.005). KE measurements
showed larger differences between scanners on the same day compared to the
same scanner at different days. Conclusion Sequence-specific in vivo validation of 4D-flow is needed before clinical
use. 4D-flow with the Aera prototype sequence with a clinically acceptable
acquisition time (<10 min) showed acceptable bias in healthy controls to
be considered for clinical use. Intra-individual KE comparisons should use
the same sequence.
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Affiliation(s)
- Jelena Bock
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Johannes Töger
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Sebastian Bidhult
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
| | - Karin Markenroth Bloch
- Philips Healthcare, Lund, Sweden
- Lund University Bioimaging Center, Lund University, Lund, Sweden
| | - Per Arvidsson
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Mikael Kanski
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Håkan Arheden
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | | | | | - Einar Heiberg
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
| | - Marcus Carlsson
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
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19
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Pelvic Blood Flow Predicts Fibroid Volume and Embolic Required for Uterine Fibroid Embolization: A Pilot Study With 4D Flow MR Angiography. AJR Am J Roentgenol 2017; 210:189-200. [PMID: 29090998 DOI: 10.2214/ajr.17.18127] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE We report here an initial experience using 4D flow MRI in pelvic imaging-specifically, in imaging uterine fibroids. We hypothesized that blood flow might correlate with fibroid volume and that quantifying blood flow might help to predict the amount of embolic required to achieve stasis at subsequent uterine fibroid embolization (UFE). MATERIALS AND METHODS Thirty-three patients with uterine fibroids and seven control subjects underwent pelvic MRI with 4D flow imaging. Of the patients with fibroids, 10 underwent 4D flow imaging before UFE and seven after UFE; in the remaining 16 patients with fibroids, UFE had yet to be performed. Four-dimensional flow measurements were performed using Arterys CV Flow. The flow fraction of the internal iliac artery was expressed as the ratio of internal iliac artery flow to external iliac artery flow and was compared between groups. The flow ratios between the internal iliac arteries on each side were calculated. Fibroid volume versus internal iliac flow fraction, embolic volume versus internal iliac flow fraction, and embolic volume ratio between sides versus the ratio of internal iliac artery flows between sides were compared. RESULTS The mean internal iliac flow fraction was significantly higher in the 26 patients who underwent imaging before UFE (mean ± standard error, 0.78 ± 0.06) than in the seven patients who underwent imaging after UFE (0.48 ± 0.07, p < 0.01) and in the seven control patients without fibroids (0.48 ± 0.08, p < 0.0001). The internal iliac flow fraction correlated well with fibroid volumes before UFE (r = 0.7754, p < 0.0001) and did not correlate with fibroid volumes after UFE (r = -0.3051, p = 0.51). The ratio of embolic required to achieve stasis between sides showed a modest correlation with the ratio of internal iliac flow (r = 0.6776, p = 0.03). CONCLUSION Internal iliac flow measured by 4D flow MRI correlates with fibroid volume and is predictive of the ratio of embolic required to achieve stasis on each side at subsequent UFE and may be useful for preprocedural evaluation of patients with uterine fibroids.
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20
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Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology. Sci Rep 2017; 7:5330. [PMID: 28706270 PMCID: PMC5509743 DOI: 10.1038/s41598-017-04676-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 05/18/2017] [Indexed: 01/22/2023] Open
Abstract
Diagnostic testing often assesses the cardiovascular or respiratory systems in isolation, ignoring the major pathophysiologic interactions between the systems in many diseases. When both systems are assessed currently, multiple modalities are utilized in costly fashion with burdensome logistics and decreased accessibility. Thus, we have developed a new acquisition and reconstruction paradigm using the flexibility of MRI to enable a comprehensive exam from a single 5-15 min scan. We constructed a compressive-sensing approach to pseudo-randomly acquire highly subsampled, multi-dimensionally-encoded and time-stamped data from which we reconstruct volumetric cardiac and respiratory motion phases, contrast-agent dynamics, and blood flow velocity fields. The proposed method, named XD flow, is demonstrated for (a) evaluating congenital heart disease, where the impact of bulk motion is reduced in a non-sedated neonatal patient and (b) where the observation of the impact of respiration on flow is necessary for diagnostics; (c) cardiopulmonary imaging, where cardiovascular flow, function, and anatomy information is needed along with pulmonary perfusion quantification; and in (d) renal function imaging, where blood velocities and glomerular filtration rates are simultaneously measured, which highlights the generality of the technique. XD flow has the ability to improve quantification and to provide additional data for patient diagnosis for comprehensive evaluations.
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21
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Frydrychowicz A, Roldan-Alzate A, Winslow E, Consigny D, Campo CA, Motosugi U, Johnson KM, Wieben O, Reeder SB. Comparison of radial 4D Flow-MRI with perivascular ultrasound to quantify blood flow in the abdomen and introduction of a porcine model of pre-hepatic portal hypertension. Eur Radiol 2017; 27:5316-5324. [PMID: 28656461 DOI: 10.1007/s00330-017-4862-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 03/22/2017] [Accepted: 04/20/2017] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Objectives of this study were to compare radial time-resolved phase contrast magnetic resonance imaging (4D Flow-MRI) with perivascular ultrasound (pvUS) and to explore a porcine model of acute pre-hepatic portal hypertension (PHTN). METHODS Abdominal 4D Flow-MRI and pvUS in portal and splenic vein, hepatic and both renal arteries were performed in 13 pigs of approximately 60 kg. In six pigs, measurements were repeated after partial portal vein (PV) ligature. Inter- and intra-reader comparisons and statistical analysis including Bland-Altman (BA) comparison, paired Student's t tests and linear regression were performed. RESULTS PvUS and 4D Flow-MRI measurements agreed well; flow before partial PV ligature was 322 ± 30 ml/min in pvUS and 297 ± 27 ml/min in MRI (p = 0.294), and average BA difference was 25 ml/min [-322; 372]. Inter- and intra-reader results differed very little, revealed excellent correlation (R 2 = 0.98 and 0.99, respectively) and resulted in BA differences of -5 ml/min [-161; 150] and -2 ml/min [-28; 25], respectively. After PV ligature, PV flow decreased from 356 ± 50 to 298 ± 61 ml/min (p = 0.02), and hepatic arterial flow increased from 277 ± 36 to 331 ± 65 ml/min (p = n.s.). CONCLUSION The successful in vivo comparison of radial 4D Flow-MRI to perivascular ultrasound revealed good agreement of abdominal blood flow although with considerable spread of results. A model of pre-hepatic PHTN was successfully introduced and acute responses monitored. KEY POINTS • Radial 4D Flow-MRI in the abdomen was successfully compared to perivascular ultrasound. • Inter- and intra-reader testing demonstrated excellent reproducibility of upper abdominal 4D Flow-MRI. • A porcine model of acute pre-hepatic portal hypertension was successfully introduced. • 4D Flow-MRI successfully monitored acute changes in a model of portal hypertension.
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Affiliation(s)
- A Frydrychowicz
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA.
- Clinic for Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
- University of Lübeck, Lübeck, Germany.
| | - A Roldan-Alzate
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
- Department of Mechanical Engineering, University of Wisconsin, Madison, USA
| | - E Winslow
- Department of Surgery, University of Wisconsin, Madison, USA
| | - D Consigny
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - C A Campo
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - U Motosugi
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - K M Johnson
- Department of Medical Physics, University of Wisconsin, Madison, USA
| | - O Wieben
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
- Department of Medical Physics, University of Wisconsin, Madison, USA
| | - S B Reeder
- Department of Radiology, School of Medicine and Public Health, E3/366 Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, WI, 53792-3252, USA
- Department of Medical Physics, University of Wisconsin, Madison, USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, USA
- Department of Medicine, University of Wisconsin, Madison, USA
- Department of Emergency Medicine, University of Wisconsin, Madison, USA
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22
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Mikhail Kellawan J, Harrell JW, Roldan-Alzate A, Wieben O, Schrage WG. Regional hypoxic cerebral vasodilation facilitated by diameter changes primarily in anterior versus posterior circulation. J Cereb Blood Flow Metab 2017; 37:2025-2034. [PMID: 27406213 PMCID: PMC5464698 DOI: 10.1177/0271678x16659497] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The inability to quantify cerebral blood flow and changes in macrocirculation cross-sectional area in all brain regions impedes robust insight into hypoxic cerebral blood flow control. We applied four-dimensional flow magnetic resonance imaging to quantify cerebral blood flow (ml • min-1) and cross-sectional area (mm2) simultaneously in 11 arteries. In healthy adults, blood pressure, O2 Saturation (SpO2), and end-tidal CO2 were measured at baseline and steady-state hypoxia (FiO2 = 0.11). We investigated left and right: internal carotid, vertebral, middle, anterior, posterior cerebral arteries, and basilar artery. Hypoxia (SpO2 = 80±2%) increased total cerebral blood flow from 621±38 to 742±50 ml • min-1 ( p < 0.05). Hypoxia increased cerebral blood flow, except in the right posterior cerebral arteries. Hypoxia increased cross-sectional area in the anterior arteries (left and right internal carotid arteries, left and right middle, p < 0.05; left and right anterior p = 0.08) but only the right vertebral artery of the posterior circulation. Nonetheless, relative cerebral blood flow distribution and vascular reactivity (Δ%cerebral blood flow • ΔSpO2-1) were not different between arteries. Collectively, moderate hypoxia: (1) increased cerebral blood flow, but relative distribution remains similar to normoxia, (2) evokes similar vascular reactivity between 11 arteries, and (3) increased cross-sectional area primarily in the anterior arteries. This study provides the first wide-ranging, quantitative, functional and structural data regarding intracranial arteries during hypoxia in humans, highlighting cerebral blood flow regulation of microcirculation and macrocirculation differs between anterior and posterior circulation.
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Affiliation(s)
- J Mikhail Kellawan
- 1 Departments of Kinesiology, University of Wisconsin - Madison, WI, USA
| | - John W Harrell
- 1 Departments of Kinesiology, University of Wisconsin - Madison, WI, USA
| | - Alejandro Roldan-Alzate
- 2 Departments of Medical Physics, University of Wisconsin - Madison, WI, USA.,3 Departments of Radiology, University of Wisconsin - Madison, WI, USA
| | - Oliver Wieben
- 2 Departments of Medical Physics, University of Wisconsin - Madison, WI, USA.,3 Departments of Radiology, University of Wisconsin - Madison, WI, USA
| | - William G Schrage
- 1 Departments of Kinesiology, University of Wisconsin - Madison, WI, USA
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23
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Rivera-Rivera LA, Schubert T, Turski P, Johnson KM, Berman SE, Rowley HA, Carlsson CM, Johnson SC, Wieben O. Changes in intracranial venous blood flow and pulsatility in Alzheimer's disease: A 4D flow MRI study. J Cereb Blood Flow Metab 2017; 37:2149-2158. [PMID: 27492950 PMCID: PMC5464708 DOI: 10.1177/0271678x16661340] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 06/16/2016] [Accepted: 06/23/2016] [Indexed: 01/09/2023]
Abstract
Cerebral blood flow, arterial pulsation, and vasomotion may be important indicators of cerebrovascular health in aging and diseases of aging such as Alzheimer's disease. Noninvasive markers that assess these characteristics may be helpful in the study of co-occurrence of these diseases and potential additive and interacting effects. In this study, 4D flow MRI was used to measure intra-cranial flow features with cardiac-gated phase contrast MRI in cranial arteries and veins. Mean blood flow and pulsatility index as well as the transit time of the peak flow from the middle cerebral artery to the superior sagittal sinus were measured in a total of 104 subjects comprising of four groups: (a) subjects with Alzheimer's disease, (b) age-matched controls, (c) subjects with mild cognitive impairment, and (d) a group of late middle-aged with parental history of sporadic Alzheimer's disease. The Alzheimer's disease group exhibited: a significant decrease in mean blood flow in the superior sagittal sinus, transverse sinus, middle cerebral artery, and internal carotid arteries; a significant decrease of the peak and end diastolic blood flow in the middle cerebral artery and superior sagittal sinus; a faster transmission of peak flow from the middle cerebral artery to the superior sagittal sinus and increased pulsatility index along the carotid siphon.
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Affiliation(s)
- Leonardo A Rivera-Rivera
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Tilman Schubert
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
- Clinic of Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland
| | - Patrick Turski
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Sara E Berman
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Howard A Rowley
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Cynthia M Carlsson
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Sterling C Johnson
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Oliver Wieben
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
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24
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Garg P, Westenberg JJM, van den Boogaard PJ, Swoboda PP, Aziz R, Foley JRJ, Fent GJ, Tyl FGJ, Coratella L, ElBaz MSM, van der Geest RJ, Higgins DM, Greenwood JP, Plein S. Comparison of fast acquisition strategies in whole-heart four-dimensional flow cardiac MR: Two-center, 1.5 Tesla, phantom and in vivo validation study. J Magn Reson Imaging 2017; 47:272-281. [PMID: 28470915 PMCID: PMC5801550 DOI: 10.1002/jmri.25746] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 04/07/2017] [Indexed: 01/02/2023] Open
Abstract
Purpose To validate three widely‐used acceleration methods in four‐dimensional (4D) flow cardiac MR; segmented 4D‐spoiled‐gradient‐echo (4D‐SPGR), 4D‐echo‐planar‐imaging (4D‐EPI), and 4D‐k‐t Broad‐use Linear Acquisition Speed‐up Technique (4D‐k‐t BLAST). Materials and Methods Acceleration methods were investigated in static/pulsatile phantoms and 25 volunteers on 1.5 Tesla MR systems. In phantoms, flow was quantified by 2D phase‐contrast (PC), the three 4D flow methods and the time‐beaker flow measurements. The later was used as the reference method. Peak velocity and flow assessment was done by means of all sequences. For peak velocity assessment 2D PC was used as the reference method. For flow assessment, consistency between mitral inflow and aortic outflow was investigated for all pulse‐sequences. Visual grading of image quality/artifacts was performed on a four‐point‐scale (0 = no artifacts; 3 = nonevaluable). Results For the pulsatile phantom experiments, the mean error for 2D PC = 1.0 ± 1.1%, 4D‐SPGR = 4.9 ± 1.3%, 4D‐EPI = 7.6 ± 1.3% and 4D‐k‐t BLAST = 4.4 ± 1.9%. In vivo, acquisition time was shortest for 4D‐EPI (4D‐EPI = 8 ± 2 min versus 4D‐SPGR = 9 ± 3 min, P < 0.05 and 4D‐k‐t BLAST = 9 ± 3 min, P = 0.29). 4D‐EPI and 4D‐k‐t BLAST had minimal artifacts, while for 4D‐SPGR, 40% of aortic valve/mitral valve (AV/MV) assessments scored 3 (nonevaluable). Peak velocity assessment using 4D‐EPI demonstrated best correlation to 2D PC (AV:r = 0.78, P < 0.001; MV:r = 0.71, P < 0.001). Coefficient of variability (CV) for net forward flow (NFF) volume was least for 4D‐EPI (7%) (2D PC:11%, 4D‐SPGR: 29%, 4D‐k‐t BLAST: 30%, respectively). Conclusion In phantom, all 4D flow techniques demonstrated mean error of less than 8%. 4D‐EPI demonstrated the least susceptibility to artifacts, good image quality, modest agreement with the current reference standard for peak intra‐cardiac velocities and the highest consistency of intra‐cardiac flow quantifications. Level of Evidence: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:272–281.
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Affiliation(s)
- Pankaj Garg
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | | | | | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | - Rahoz Aziz
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | - James R J Foley
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | - Graham J Fent
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | - F G J Tyl
- Leiden University Medical Center, Leiden, The Netherlands
| | - L Coratella
- Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, United Kingdom
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Rivera-Rivera LA, Turski P, Johnson KM, Hoffman C, Berman SE, Kilgas P, Rowley HA, Carlsson CM, Johnson SC, Wieben O. 4D flow MRI for intracranial hemodynamics assessment in Alzheimer's disease. J Cereb Blood Flow Metab 2016; 36:1718-1730. [PMID: 26661239 PMCID: PMC5076787 DOI: 10.1177/0271678x15617171] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 09/30/2015] [Accepted: 10/14/2015] [Indexed: 01/14/2023]
Abstract
Cerebral blood flow, arterial pulsation, and vasomotion play important roles in the transport of waste metabolites out of the brain. Impaired vasomotion results in reduced driving force for the perivascular/glymphatic clearance of beta-amyloid. Noninvasive cerebrovascular characteristic features that potentially assess these transport mechanisms are mean blood flow (MBF) and pulsatility index (PI). In this study, 4D flow MRI was used to measure intra-cranial flow features, particularly MBF, PI, resistive index (RI) and cross-sectional area in patients with Alzheimer's disease (AD), mild cognitive impairment and in age matched and younger cognitively healthy controls. Three-hundred fourteen subjects participated in this study. Volumetric, time-resolved phase contrast (PC) MRI data were used to quantify hemodynamic parameters from 11 vessel segments. Anatomical variants of the Circle of Willis were also cataloged. The AD population reported a statistically significant decrease in MBF and cross-sectional area, and also an increase in PI and RI compared to age matched cognitively healthy control subjects. The 4D flow MRI technique used in this study provides quantitative measurements of intracranial vessel geometry and the velocity of flow. Cerebrovascular characteristics features of vascular health such as pulsatility index can be extracted from the 4D flow MRI data.
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Affiliation(s)
| | - Patrick Turski
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA
| | - Carson Hoffman
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA
| | - Sara E Berman
- Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Phillip Kilgas
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA
| | - Howard A Rowley
- Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA
| | - Cynthia M Carlsson
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Oliver Wieben
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA
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26
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Amsallem M, Kuznetsova T, Hanneman K, Denault A, Haddad F. Right heart imaging in patients with heart failure: a tale of two ventricles. Curr Opin Cardiol 2016; 31:469-82. [PMID: 27467173 PMCID: PMC5133417 DOI: 10.1097/hco.0000000000000315] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
PURPOSE OF REVIEW The purpose is to describe the recent advances made in imaging of the right heart, including deformation imaging, tissue, and flow characterization by MRI, and molecular imaging. RECENT FINDINGS Recent developments have been made in the field of deformation imaging of the right heart, which may improve risk stratification of patients with heart failure and pulmonary hypertension. In addition, more attention has been given to load adaptability metrics of the right heart; these simplified indices, however, still face challenges from a conceptual point of view. The emergence of novel MRI sequences, such as native T1 mapping, allows better detection and quantification of myocardial fibrosis and could allow better prediction of postsurgical recovery of the right heart. Other advances in MRI include four-dimensional flow imaging, which may be particularly useful in congenital heart disease or for the detection of early stages of pulmonary vascular disease. SUMMARY The review will place the recent developments in right heart imaging in the context of clinical care and research.
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Affiliation(s)
- Myriam Amsallem
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Tatiana Kuznetsova
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Kate Hanneman
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
| | - Andre Denault
- Department of Anesthesiology and Critical Care Division, CHUM and Montreal Heart Institute, Montreal, QC, Canada
| | - François Haddad
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
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27
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Bollache E, van Ooij P, Powell A, Carr J, Markl M, Barker AJ. Comparison of 4D flow and 2D velocity-encoded phase contrast MRI sequences for the evaluation of aortic hemodynamics. Int J Cardiovasc Imaging 2016; 32:1529-41. [PMID: 27435230 DOI: 10.1007/s10554-016-0938-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 07/09/2016] [Indexed: 01/08/2023]
Abstract
The purpose of this study was to compare aortic flow and velocity quantification using 4D flow MRI and 2D CINE phase-contrast (PC)-MRI with either one-directional (2D-1dir) or three-directional (2D-3dir) velocity encoding. 15 healthy volunteers (51 ± 19 years) underwent MRI including (1) breath-holding 2D-1dir and (2) free breathing 2D-3dir PC-MRI in planes orthogonal to the ascending (AA) and descending (DA) aorta, as well as (3) free breathing 4D flow MRI with full thoracic aorta coverage. Flow quantification included the co-registration of the 2D PC acquisition planes with 4D flow MRI data, AA and DA segmentation, and calculation of AA and DA peak systolic velocity, peak flow and net flow volume for all sequences. Additionally, the 2D-3dir velocity taking into account the through-plane component only was used to obtain results analogous to a free breathing 2D-1dir acquisition. Good agreement was found between 4D flow and 2D-3dir peak velocity (differences = -3 to 6 %), peak flow (-7 %) and net volume (-14 to -9 %). In contrast, breath-holding 2D-1dir measurements exhibited indices significantly lower than free breathing 2D-3dir and 2D-1dir (differences = -35 to -7 %, p < 0.05). Finally, high correlations (r ≥ 0.97) were obtained for indices estimated with or without eddy current correction, with the lowest correlation observed for net volume. 4D flow and 2D-3dir aortic hemodynamic indices were in concordance. However, differences between respiration state and 2D-1dir and 2D-3dir measurements indicate that reference values should be established according to the PC-MRI sequence, especially for the widely used net flow (e.g. stroke volume in the AA).
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Affiliation(s)
- Emilie Bollache
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA.
| | - Pim van Ooij
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA
| | - Alex Powell
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA
| | - James Carr
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA.,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan ave-Suite 1600, Chicago, IL, 60611, USA
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Freed BH, Collins JD, François CJ, Barker AJ, Cuttica MJ, Chesler NC, Markl M, Shah SJ. MR and CT Imaging for the Evaluation of Pulmonary Hypertension. JACC Cardiovasc Imaging 2016; 9:715-32. [PMID: 27282439 PMCID: PMC4905589 DOI: 10.1016/j.jcmg.2015.12.015] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Revised: 12/14/2015] [Accepted: 12/16/2015] [Indexed: 01/08/2023]
Abstract
Imaging plays a central role in the diagnosis and management of all forms of pulmonary hypertension (PH). Although Doppler echocardiography is essential for the evaluation of PH, its ability to optimally evaluate the right ventricle and pulmonary vasculature is limited by its 2-dimensional planar capabilities. Magnetic resonance and computed tomography are capable of determining the etiology and pathophysiology of PH, and can be very useful in the management of these patients. Exciting new techniques such as right ventricle tissue characterization with T1 mapping, 4-dimensional flow of the right ventricle and pulmonary arteries, and computed tomography lung perfusion imaging are paving the way for a new era of imaging in PH. These imaging modalities complement echocardiography and invasive hemodynamic testing and may be useful as surrogate endpoints for early phase PH clinical trials. Here we discuss the role of magnetic resonance imaging and computed tomography in the diagnosis and management of PH, including current uses and novel research applications, and we discuss the role of value-based imaging in PH.
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Affiliation(s)
- Benjamin H Freed
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jeremy D Collins
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Alex J Barker
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Michael J Cuttica
- Department of Radiology, University of Wisconsin, Madison, Wisconsin
| | - Naomi C Chesler
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sanjiv J Shah
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Feinberg Cardiovascular Research Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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29
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Wehrum T, Hagenlocher P, Lodemann T, Vach W, Dragonu I, Hennemuth A, von Zur Mühlen C, Stuplich J, Ngo BTT, Harloff A. Age dependence of pulmonary artery blood flow measured by 4D flow cardiovascular magnetic resonance: results of a population-based study. J Cardiovasc Magn Reson 2016; 18:31. [PMID: 27245203 PMCID: PMC4888740 DOI: 10.1186/s12968-016-0252-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 05/19/2016] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND It was our aim to systematically analyze pulmonary artery blood flow within different age-groups in the general population using 4D flow cardiovascular magnetic resonance (CMR) in order to provide a context for interpreting results of future studies (e.g., in pulmonary hypertension) using this technique. METHODS An age-stratified sample (n = 126) of the population of the city of Freiburg, Germany, underwent ECG-triggered and navigator-gated 4D flow CMR at 3 T of the pulmonary arteries and the thoracic aorta. Analysis planes were placed in the main, left, and right pulmonary artery using dedicated software. Study participants were divided into three groups (1:20-39; 2:40-59; and 3:60-80 years of age). Subsequently, pulmonary blood flow was visualized, quantified and compared between groups. RESULTS Time-to-peak of systolic antegrade flow was shorter, peak and average velocities and flow volumes were lower in older subjects. At the end of systole, retrograde flow in the main pulmonary artery was observed in all but one subject. Subsequently, a second antegrade flow peak occurred in diastole which was lower in older subjects. Age was an independent predictor of hemodynamic change after adjustment for cardiovascular risk factors and body-mass-index. During systole, abnormal vortices occurred in the main pulmonary artery in four male subjects. CONCLUSIONS Comprehensive analysis of pulmonary blood flow was feasible in all subjects. We were able to detect an independent effect of ageing on pulmonary hemodynamics reflecting increased vessel stiffness and reduced pulmonary circulation. Findings of this study may be helpful for discriminating physiological from pathological flow in patients with pulmonary diseases in the future.
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Affiliation(s)
- Thomas Wehrum
- Department of Neurology, University Medical Center Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
| | - Paul Hagenlocher
- Department of Neurology, University Medical Center Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Thomas Lodemann
- Department of Neurology, University Medical Center Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Werner Vach
- Institute for Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany
| | - Iulius Dragonu
- Department of Diagnostic Radiology - Medical Physics, University Medical Center Freiburg, Freiburg, Germany
| | | | | | - Judith Stuplich
- Department of Cardiology, University Heart Center Freiburg, Freiburg, Germany
| | - Ba Thanh Truc Ngo
- Department of Cardiology, University Heart Center Freiburg, Freiburg, Germany
| | - Andreas Harloff
- Department of Neurology, University Medical Center Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
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Parekh K, Markl M, Rose M, Schnell S, Popescu A, Rigsby CK. 4D flow MR imaging of the portal venous system: a feasibility study in children. Eur Radiol 2016; 27:832-840. [PMID: 27193778 DOI: 10.1007/s00330-016-4396-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Revised: 03/28/2016] [Accepted: 05/02/2016] [Indexed: 12/26/2022]
Abstract
OBJECTIVES To determine the feasibility of 4D flow MRI for visualization and quantification of the portal venous haemodynamics in children and young adults. METHODS 4D flow was performed in 28 paediatric patients (median age, 8.5 years; interquartile range, 5.2-16.5), 15 with non-operated native portal system and 13 with surgically created portal shunt. Image quality assessment for 3D flow visualization and flow pattern analyses was performed. Regional 4D flow peak velocity and net flow were compared with 2D-cine phase contrast MRI (2D-PC MR) in the post-surgical patients. RESULTS Mean 3D flow visualization quality score was excellent (mean ± SD, 4.2 ± 0.9) with good inter-rater agreement (κ,0.67). Image quality in children aged >10 years was better than children ≤10 years (p < 0.05). Flow pattern was defined for portal, superior mesenteric, splenic veins and splenic artery in all patients. 4D flow and 2D-PC MR peak velocity and net flow were similar with good correlation (peak velocity: 4D flow 22.2 ± 9.1 cm/s and 2D-PC MR 25.2 ± 11.2 cm/s, p = 0.46; r = 0.92, p < 0.0001; net flow: 4D flow 9.5 ± 7.4 ml/s and 2D-PC MR 10.1 ± 7.3 ml/s, p = 0.65; r = 0.81, p = 0.0007). CONCLUSIONS 4D flow MRI is feasible and holds promise for the comprehensive 3D visualization and quantification of portal venous flow dynamics in children and young adults. KEY POINTS • 4D flow MRI is feasible in children and young adults. • 4D flow MRI has the ability to non-invasively characterize portal haemodynamics. • Image quality of 4D flow MRI is better is older children. • 4D flow MRI can accurately quantify portal flow compared to 2D-cine PC MRI.
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Affiliation(s)
- Keyur Parekh
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E. Chicago Ave., Chicago, IL, 60611, USA. .,Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, IL, USA
| | - Michael Rose
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E. Chicago Ave., Chicago, IL, 60611, USA.,Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Susanne Schnell
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Andrada Popescu
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E. Chicago Ave., Chicago, IL, 60611, USA.,Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cynthia K Rigsby
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E. Chicago Ave., Chicago, IL, 60611, USA.,Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Bannas P, Roldán-Alzate A, Johnson KM, Woods MA, Ozkan O, Motosugi U, Wieben O, Reeder SB, Kramer H. Longitudinal Monitoring of Hepatic Blood Flow before and after TIPS by Using 4D-Flow MR Imaging. Radiology 2016; 281:574-582. [PMID: 27171019 DOI: 10.1148/radiol.2016152247] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Purpose To demonstrate the feasibility of four-dimensional (4D)-flow magnetic resonance (MR) imaging for noninvasive longitudinal hemodynamic monitoring of hepatic blood flow before and after transjugular intrahepatic portosystemic shunt (TIPS) placement. Materials and Methods The institutional review board approved this prospective Health Insurance Portability and Accountability Act compliant study with written informed consent. Four-dimensional-flow MR imaging was performed in seven patients with portal hypertension and refractory ascites before and 2 and 12 weeks after TIPS placement by using a time-resolved three-dimensional radial phase-contrast acquisition. Flow and peak velocity measurements were obtained in the superior mesenteric vein (SMV), splenic vein (SV), portal vein (PV), and the TIPS. Flow volumes and peak velocities in each vessel, as well as the ratio of in-stent to PV flow, were compared before and after TIPS placement by using analysis of variance. Results Flow volumes significantly increased in the SMV (0.24 L/min; 95% confidence interval [CI]: 0.07, 0.41), SV (0.31 L/min; 95% CI: 0.07, 0.54), and PV (0.88 L/min; 95% CI: 0.06, 1.70) after TIPS placement (all P < .05), with no significant difference between the first and second post-TIPS placement acquisitions (all P > .11). Ascites resolved in six of seven patients. In those with resolved ascites, the TIPS-to-PV flow ratio was 0.8 ± 0.2 and 0.9 ± 0.2 at the two post-TIPS time points, respectively, while the observed ratios were 4.6 and 4.3 in the patient with refractory ascites at the two post-TIPS time points, respectively. In this patient, 4D-flow MR imaging demonstrated arterio-portal-venous shunting, with draining into the TIPS. Conclusion Four-dimensional-flow MR imaging is feasible for noninvasive longitudinal hemodynamic monitoring of hepatic blood flow before and after TIPS placement. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Peter Bannas
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Alejandro Roldán-Alzate
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Kevin M Johnson
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Michael A Woods
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Orhan Ozkan
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Utaroh Motosugi
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Oliver Wieben
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Scott B Reeder
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
| | - Harald Kramer
- From the Departments of Radiology (P.B., A.R.A., M.A.W., O.O., U.M., O.W., S.B.R., H.K.), Medical Physics (K.M.J., O.W., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and Mechanical Engineering (A.R.A.) University of Wisconsin-Madison, Madison, Wis
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Advanced flow MRI: emerging techniques and applications. Clin Radiol 2016; 71:779-95. [PMID: 26944696 DOI: 10.1016/j.crad.2016.01.011] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 12/10/2015] [Accepted: 01/10/2016] [Indexed: 12/12/2022]
Abstract
Magnetic resonance imaging (MRI) techniques provide non-invasive and non-ionising methods for the highly accurate anatomical depiction of the heart and vessels throughout the cardiac cycle. In addition, the intrinsic sensitivity of MRI to motion offers the unique ability to acquire spatially registered blood flow simultaneously with the morphological data, within a single measurement. In clinical routine, flow MRI is typically accomplished using methods that resolve two spatial dimensions in individual planes and encode the time-resolved velocity in one principal direction, typically oriented perpendicular to the two-dimensional (2D) section. This review describes recently developed advanced MRI flow techniques, which allow for more comprehensive evaluation of blood flow characteristics, such as real-time flow imaging, 2D multiple-venc phase contrast MRI, four-dimensional (4D) flow MRI, quantification of complex haemodynamic properties, and highly accelerated flow imaging. Emerging techniques and novel applications are explored. In addition, applications of these new techniques for the improved evaluation of cardiovascular (aorta, pulmonary arteries, congenital heart disease, atrial fibrillation, coronary arteries) as well as cerebrovascular disease (intra-cranial arteries and veins) are presented.
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Hanneman K, Kino A, Cheng JY, Alley MT, Vasanawala SS. Assessment of the precision and reproducibility of ventricular volume, function, and mass measurements with ferumoxytol-enhanced 4D flow MRI. J Magn Reson Imaging 2016; 44:383-92. [PMID: 26871420 DOI: 10.1002/jmri.25180] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 01/19/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To compare the precision and interobserver agreement of ventricular volume, function, and mass quantification by 3D time-resolved (4D) flow MRI relative to cine steady-state free precession (SSFP). MATERIALS AND METHODS With Institutional Research Board approval, informed consent, and HIPAA compliance, 22 consecutive patients with congenital heart disease (CHD) (10 males, 6.4 ± 4.8 years) referred for 3T ferumoxytol-enhanced cardiac MRI were prospectively recruited. Complete ventricular coverage with standard 2D short-axis cine SSFP and whole chest coverage with axial 4D flow were obtained. Two blinded radiologists independently segmented images for left ventricular (LV) and right ventricular (RV) myocardium at end systole (ES) and end diastole (ED). Statistical analysis included linear regression, analysis of variance (ANOVA), Bland-Altman (BA) analysis, and intraclass correlation (ICC). RESULTS Significant positive correlations were found between 4D flow and SSFP for ventricular volumes (r = 0.808-0.972, P < 0.001), ejection fraction (EF) (r = 0.900-928, P < 0.001), and mass (r = 0.884-0.934, P < 0.001). BA relative limits of agreement for both ventricles were between -52% to 34% for volumes, -29% to 27% for EF, and -41% to 48% for mass, with wider limits of agreement for the RV compared to the LV. There was no significant difference between techniques with respect to mean square difference of ED-ES mass for either LV (F = 2.05, P = 0.159) or RV (F = 0.625, P = 0.434). Interobserver agreement was moderate to good with both 4D flow (ICC 0.523-0.993) and SSFP (ICC 0.619-0.982), with overlapping confidence intervals. CONCLUSION Quantification of ventricular volume, function, and mass can be accomplished with 4D flow MRI with precision and interobserver agreement comparable to that of cine SSFP. J. Magn. Reson. Imaging 2016;44:383-392.
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Affiliation(s)
- Kate Hanneman
- Department of Radiology, Stanford University, Stanford, California, USA.,Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Aya Kino
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Joseph Y Cheng
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Marcus T Alley
- Department of Radiology, Stanford University, Stanford, California, USA
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Cheng JY, Hanneman K, Zhang T, Alley MT, Lai P, Tamir JI, Uecker M, Pauly JM, Lustig M, Vasanawala SS. Comprehensive motion-compensated highly accelerated 4D flow MRI with ferumoxytol enhancement for pediatric congenital heart disease. J Magn Reson Imaging 2015; 43:1355-68. [PMID: 26646061 DOI: 10.1002/jmri.25106] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Accepted: 11/14/2015] [Indexed: 11/06/2022] Open
Abstract
PURPOSE To develop and evaluate motion-compensation and compressed-sensing techniques in 4D flow MRI for anatomical assessment in a comprehensive ferumoxytol-enhanced congenital heart disease (CHD) exam. MATERIALS AND METHODS A Cartesian 4D flow sequence was developed to enable intrinsic navigation and two variable-density sampling schemes: VDPoisson and VDRad. Four compressed-sensing methods were developed: A) VDPoisson scan reconstructed using spatial wavelets; B) added temporal total variation to A; C) VDRad scan using the same reconstruction as in B; and D) added motion compensation to C. With Institutional Review Board (IRB) approval and Health Insurance Portability and Accountability Act (HIPAA) compliance, 23 consecutive patients (eight females, mean 6.3 years) referred for ferumoxytol-enhanced CHD 3T MRI were recruited. Images were acquired and reconstructed using methods A-D. Two cardiovascular radiologists independently scored the images on a 5-point scale. These readers performed a paired wall motion and functional assessment between method D and 2D balanced steady-state free precession (bSSFP) CINE for 16 cases. RESULTS Method D had higher diagnostic image quality for most anatomical features (mean 3.8-4.8) compared to A (2.0-3.6), B (2.2-3.7), and C (2.9-3.9) with P < 0.05 with good interobserver agreement (κ ≥ 0.49). Method D had similar or better assessment of myocardial borders and cardiac motion compared to 2D bSSFP (P < 0.05, κ ≥ 0.77). All methods had good internal agreement in comparing aortic with pulmonic flow (BA mean < 0.02%, r > 0.85) and compared to method A (BA mean < 0.13%, r > 0.84) with P < 0.01. CONCLUSION Flow, functional, and anatomical assessment in CHD with ferumoxytol-enhanced 4D flow is feasible and can be significantly improved using motion compensation and compressed sensing. J. Magn. Reson. Imaging 2016;43:1355-1368.
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Affiliation(s)
- Joseph Y Cheng
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Kate Hanneman
- Department of Radiology, Stanford University, Stanford, California, USA.,University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Tao Zhang
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Marcus T Alley
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Peng Lai
- Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
| | - Jonathan I Tamir
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
| | - Martin Uecker
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
| | - John M Pauly
- Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Michael Lustig
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
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Dyverfeldt P, Bissell M, Barker AJ, Bolger AF, Carlhäll CJ, Ebbers T, Francios CJ, Frydrychowicz A, Geiger J, Giese D, Hope MD, Kilner PJ, Kozerke S, Myerson S, Neubauer S, Wieben O, Markl M. 4D flow cardiovascular magnetic resonance consensus statement. J Cardiovasc Magn Reson 2015; 17:72. [PMID: 26257141 PMCID: PMC4530492 DOI: 10.1186/s12968-015-0174-5] [Citation(s) in RCA: 548] [Impact Index Per Article: 60.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 07/17/2015] [Indexed: 02/07/2023] Open
Abstract
Pulsatile blood flow through the cavities of the heart and great vessels is time-varying and multidirectional. Access to all regions, phases and directions of cardiovascular flows has formerly been limited. Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) has enabled more comprehensive access to such flows, with typical spatial resolution of 1.5×1.5×1.5 - 3×3×3 mm(3), typical temporal resolution of 30-40 ms, and acquisition times in the order of 5 to 25 min. This consensus paper is the work of physicists, physicians and biomedical engineers, active in the development and implementation of 4D Flow CMR, who have repeatedly met to share experience and ideas. The paper aims to assist understanding of acquisition and analysis methods, and their potential clinical applications with a focus on the heart and greater vessels. We describe that 4D Flow CMR can be clinically advantageous because placement of a single acquisition volume is straightforward and enables flow through any plane across it to be calculated retrospectively and with good accuracy. We also specify research and development goals that have yet to be satisfactorily achieved. Derived flow parameters, generally needing further development or validation for clinical use, include measurements of wall shear stress, pressure difference, turbulent kinetic energy, and intracardiac flow components. The dependence of measurement accuracy on acquisition parameters is considered, as are the uses of different visualization strategies for appropriate representation of time-varying multidirectional flow fields. Finally, we offer suggestions for more consistent, user-friendly implementation of 4D Flow CMR acquisition and data handling with a view to multicenter studies and more widespread adoption of the approach in routine clinical investigations.
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Affiliation(s)
- Petter Dyverfeldt
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
| | - Malenka Bissell
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
| | - Alex J Barker
- Department of Radiology, Northwestern University, Chicago, USA.
| | - Ann F Bolger
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
- Department of Medicine, University of California San Francisco, San Francisco, CA, United States.
| | - Carl-Johan Carlhäll
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
- Department of Clinical Physiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
| | - Tino Ebbers
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
| | | | - Alex Frydrychowicz
- Klinik für Radiologie und Nuklearmedizin, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
| | - Julia Geiger
- Department of Radiology, University Children's Hospital Zurich, Zurich, Switzerland.
| | - Daniel Giese
- Department of Radiology, University Hospital of Cologne, Cologne, Germany.
| | - Michael D Hope
- Department of Radiology, University of California San Francisco, San Francisco, CA, United States.
| | - Philip J Kilner
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College, London, UK.
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
| | - Saul Myerson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
| | - Oliver Wieben
- Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.
| | - Michael Markl
- Department of Radiology, Northwestern University, Chicago, USA.
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA.
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Three-Dimensional Black-Blood T1-Weighted Turbo Spin-Echo Techniques for the Diagnosis of Deep Vein Thrombosis in Comparison With Contrast-Enhanced Magnetic Resonance Imaging. Invest Radiol 2015; 50:401-8. [DOI: 10.1097/rli.0000000000000142] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Abstract
4D flow MRI permits a comprehensive in-vivo assessment of three-directional blood flow within 3-dimensional vascular structures throughout the cardiac cycle. Given the large coverage permitted from a 4D flow acquisition, the distribution of vessel wall and flow parameters along an entire vessel of interest can thus be derived from a single measurement without being dependent on multiple predefined 2D acquisitions. In addition to qualitative 3D visualizations of complex cardiac and vascular flow patterns, quantitative flow analysis can be performed and is complemented by the ability to compute sophisticated hemodynamic parameters, such as wall shear stress or 3D pressure difference maps. These metrics can provide information previously unavailable with conventional modalities regarding the impact of cardiovascular disease or therapy on global and regional changes in hemodynamics. This review provides an introduction to the methodological aspects of 4D flow MRI to assess vascular hemodynamics and describes its potential for the assessment and understanding of altered hemodynamics in the presence of cardiovascular disease.
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Dyvorne H, Knight-Greenfield A, Jajamovich G, Besa C, Cui Y, Stalder A, Markl M, Taouli B. Abdominal 4D flow MR imaging in a breath hold: combination of spiral sampling and dynamic compressed sensing for highly accelerated acquisition. Radiology 2014; 275:245-54. [PMID: 25325326 DOI: 10.1148/radiol.14140973] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE To develop a highly accelerated phase-contrast cardiac-gated volume flow measurement (four-dimensional [4D] flow) magnetic resonance (MR) imaging technique based on spiral sampling and dynamic compressed sensing and to compare this technique with established phase-contrast imaging techniques for the quantification of blood flow in abdominal vessels. MATERIALS AND METHODS This single-center prospective study was compliant with HIPAA and approved by the institutional review board. Ten subjects (nine men, one woman; mean age, 51 years; age range, 30-70 years) were enrolled. Seven patients had liver disease. Written informed consent was obtained from all participants. Two 4D flow acquisitions were performed in each subject, one with use of Cartesian sampling with respiratory tracking and the other with use of spiral sampling and a breath hold. Cartesian two-dimensional (2D) cine phase-contrast images were also acquired in the portal vein. Two observers independently assessed vessel conspicuity on phase-contrast three-dimensional angiograms. Quantitative flow parameters were measured by two independent observers in major abdominal vessels. Intertechnique concordance was quantified by using Bland-Altman and logistic regression analyses. RESULTS There was moderate to substantial agreement in vessel conspicuity between 4D flow acquisitions in arteries and veins (κ = 0.71 and 0.61, respectively, for observer 1; κ = 0.71 and 0.44 for observer 2), whereas more artifacts were observed with spiral 4D flow (κ = 0.30 and 0.20). Quantitative measurements in abdominal vessels showed good equivalence between spiral and Cartesian 4D flow techniques (lower bound of the 95% confidence interval: 63%, 77%, 60%, and 64% for flow, area, average velocity, and peak velocity, respectively). For portal venous flow, spiral 4D flow was in better agreement with 2D cine phase-contrast flow (95% limits of agreement: -8.8 and 9.3 mL/sec, respectively) than was Cartesian 4D flow (95% limits of agreement: -10.6 and 14.6 mL/sec). CONCLUSION The combination of highly efficient spiral sampling with dynamic compressed sensing results in major acceleration for 4D flow MR imaging, which allows comprehensive assessment of abdominal vessel hemodynamics in a single breath hold.
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Affiliation(s)
- Hadrien Dyvorne
- From the Department of Radiology/Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029 (H.D., A.K., G.J., C.B., Y.C., B.T.); Healthcare Sector, Imaging & Therapy Division, Siemens, Erlangen, Germany (A.S.); and Department of Radiology and Biomedical Engineering, Feinberg School of Medicine, Northwestern University, Chicago, Ill (M.M.)
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Giese D, Wong J, Greil GF, Buehrer M, Schaeffter T, Kozerke S. Towards highly accelerated Cartesian time-resolved 3D flow cardiovascular magnetic resonance in the clinical setting. J Cardiovasc Magn Reson 2014; 16:42. [PMID: 24942253 PMCID: PMC4230248 DOI: 10.1186/1532-429x-16-42] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 05/02/2014] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The clinical applicability of time-resolved 3D flow cardiovascular magnetic resonance (CMR) remains compromised by the long scan times associated with phase-contrast imaging. The present work demonstrates the applicability of 8-fold acceleration of Cartesian time-resolved 3D flow CMR in 10 volunteers and in 9 patients with different congenital heart diseases (CHD). It is demonstrated that accelerated 3D flow CMR data acquisition and image reconstruction using k-t PCA (principal component analysis) can be implemented into clinical workflow and results are sufficiently accurate relative to conventional 2D flow CMR to permit for comprehensive flow quantification in CHD patients. METHODS The fidelity of k-t PCA was first investigated on retrospectively undersampled data for different acceleration factors and compared to k-t SENSE and fully sampled reference data. Subsequently, k-t PCA with 8-fold nominal undersampling was applied on 10 healthy volunteers and 9 CHD patients on a clinical 1.5 T MR scanner. Quantitative flow validation was performed in vessels of interest on the 3D flow datasets and compared to 2D through-plane flow acquisitions. Particle trace analysis was used to qualitatively visualise flow patterns in patients. RESULTS Accelerated time-resolved 3D flow data were successfully acquired in all subjects with 8-fold nominal scan acceleration. Nominal scan times excluding navigator efficiency were on the order of 6 min and 7 min in patients and volunteers. Mean differences in stroke volume in selected vessels of interest were 2.5 ± 8.4 ml and 1.63 ± 4.8 ml in volunteers and patients, respectively. Qualitative flow pattern analysis in the time-resolved 3D dataset revealed valuable insights into hemodynamics including circular and helical patterns as well as flow distributions and origin in the Fontan circulation. CONCLUSION Highly accelerated time-resolved 3D flow using k-t PCA is readily applicable in clinical routine protocols of CHD patients. Nominal scan times of 6 min are well tolerated and allow for quantitative and qualitative flow assessment in all great vessels.
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Affiliation(s)
- Daniel Giese
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Department of Radiology, University of Cologne, Cologne, Germany
| | - James Wong
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Gerald F Greil
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Martin Buehrer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Tobias Schaeffter
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Sebastian Kozerke
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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Roldán-Alzate A, Frydrychowicz A, Johnson KM, Kellihan H, Chesler NC, Wieben O, François CJ. Non-invasive assessment of cardiac function and pulmonary vascular resistance in an canine model of acute thromboembolic pulmonary hypertension using 4D flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2014; 16:23. [PMID: 24625242 PMCID: PMC3995608 DOI: 10.1186/1532-429x-16-23] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Accepted: 03/03/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The purpose of this study was to quantify right (RV) and left (LV) ventricular function, pulmonary artery flow (QP), tricuspid valve regurgitation velocity (TRV), and aorta flow (QS) from a single 4D flow cardiovascular magnetic resonance (CMR) (time-resolved three-directionally motion encoded CMR) sequence in a canine model of acute thromboembolic pulmonary hypertension (PH). METHODS Acute PH was induced in six female beagles by microbead injection into the right atrium. Pulmonary arterial (PAP) and pulmonary capillary wedge (PCWP) pressures and cardiac output (CO) were measured by right heart catheterization (RHC) at baseline and following induction of acute PH. Pulmonary vascular resistance (PVRRHC) was calculated from RHC values of PAP, PCWP and CO (PVRRHC = (PAP-PCWP)/CO). Cardiac magnetic resonance (CMR) was performed on a 3 T scanner at baseline and following induction of acute PH. RV and LV end-diastolic (EDV) and end-systolic (ESV) volumes were determined from both CINE balanced steady-state free precession (bSSFP) and 4D flow CMR magnitude images. QP, TRV, and QS were determined from manually placed cutplanes in the 4D flow CMR flow-sensitive images in the main (MPA), right (RPA), and left (LPA) pulmonary arteries, the tricuspid valve (TRV), and aorta respectively. MPA, RPA, and LPA flow was also measured using two-dimensional flow-sensitive (2D flow) CMR. RESULTS Biases between 4D flow CMR and bSSFP were 0.8 mL and 1.6 mL for RV EDV and RV ESV, respectively, and 0.8 mL and 4 mL for LV EDV and LV ESV, respectively. Flow in the MPA, RPA, and LPA did not change after induction of acute PAH (p = 0.42-0.81). MPA, RPA, and LPA flow determined with 4D flow CMR was significantly lower than with 2D flow (p < 0.05). The correlation between QP/TRV and PVRRHC was 0.95. The average QP/QS was 0.96 ± 0.11. CONCLUSIONS Using both magnitude and flow-sensitive data from a single 4D flow CMR acquisition permits simultaneous quantification of cardiac function and cardiopulmonary hemodynamic parameters important in the assessment of PH.
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MESH Headings
- Acute Disease
- Animals
- Aorta/physiopathology
- Blood Flow Velocity
- Cardiac Catheterization
- Disease Models, Animal
- Dogs
- Feasibility Studies
- Female
- Hypertension, Pulmonary/diagnosis
- Hypertension, Pulmonary/etiology
- Hypertension, Pulmonary/physiopathology
- Image Interpretation, Computer-Assisted
- Magnetic Resonance Imaging
- Predictive Value of Tests
- Pulmonary Artery/physiopathology
- Pulmonary Circulation
- Pulmonary Embolism/diagnosis
- Pulmonary Embolism/etiology
- Pulmonary Embolism/physiopathology
- Regional Blood Flow
- Tricuspid Valve/physiopathology
- Tricuspid Valve Insufficiency/diagnosis
- Tricuspid Valve Insufficiency/etiology
- Tricuspid Valve Insufficiency/physiopathology
- Vascular Resistance
- Ventricular Dysfunction, Right/diagnosis
- Ventricular Dysfunction, Right/etiology
- Ventricular Dysfunction, Right/physiopathology
- Ventricular Function, Left
- Ventricular Function, Right
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Affiliation(s)
- Alejandro Roldán-Alzate
- Department of Radiology, Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, Wisconsin 53792-3252, USA
- Department of Medical Physics, University of Wisconsin – Madison, Madison, WI, USA
| | - Alex Frydrychowicz
- Department of Radiology, Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, Wisconsin 53792-3252, USA
- Klinik für Radiologie und Nuklearmedizin - Campus Lübeck, Lübeck, Germany
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin – Madison, Madison, WI, USA
| | - Heidi Kellihan
- School of Veterinary Medicine, University of Wisconsin – Madison, Madison, WI, USA
| | - Naomi C Chesler
- Department of Biomedical Engineering, University of Wisconsin – Madison, Madison, WI, USA
| | - Oliver Wieben
- Department of Radiology, Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, Wisconsin 53792-3252, USA
- Department of Medical Physics, University of Wisconsin – Madison, Madison, WI, USA
| | - Christopher J François
- Department of Radiology, Clinical Science Center, University of Wisconsin - Madison, 600 Highland Avenue, Madison, Wisconsin 53792-3252, USA
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