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Donal E, Unger P, Coisne A, Pibarot P, Magne J, Sitges M, Habib G, Clavel MA, Von Barbeleden S, Plein S, Pezel T, Dweck MR, Zamorano PL, Bertrand PB, Dahl JS, Popescu BA, Cosyns B, Ajmone-Marsan N. The Role of Multimodality Imaging in Multiple Valvular Heart Diseases. A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC. Eur Heart J Cardiovasc Imaging 2025:jeaf026. [PMID: 39874243 DOI: 10.1093/ehjci/jeaf026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 12/28/2024] [Accepted: 12/31/2024] [Indexed: 01/30/2025] Open
Abstract
With this document, the European Association of Cardiovascular Imaging (EACVI) provides an Expert Consensus on the role of multi-modality imaging (MMI) in the management of patients with multiple valvular heart disease (MVD). Emphasis is given to the use of MMI to unravel the diagnostic challenges that characterize these patients and to improve risk stratification. Complementing the last European Society of Cardiology and European Association of Cardio-Thoracic Surgery guidelines on valvular heart disease, this Expert Consensus document also outlines how MMI assessment should form an integral part of the multi-disciplinary heart team discussion for patients with MVD to help with complex decision-making regarding the choice and timing of treatment.
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Affiliation(s)
- Erwan Donal
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France
| | - Philippe Unger
- Department of Cardiology, University Hospital Brussels, Laarbeeklaan 101, Jette, Brussels 1090, Belgium
- Department of Cardiology, Centre Hospitalier Universitaire Saint-Pierre, Université libre de Bruxelles, 322 rue Haute, Brussels 1000, Belgium
| | - Augustin Coisne
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France
| | - Philippe Pibarot
- Institut Universitaire de Cardiologie et de Pneumologie, Université Laval, Québec, Canada
| | - Julien Magne
- INSERM, Université de Limoges, CHU de Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, OmegaHealth, Limoges, France; Center of Clinical and Research Data, CHU de Limoges, 87000 Limoges, France
| | - Marta Sitges
- Cardiovascular Institute, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- CIBER, Centro de Investigación Biomédica en Red, Barcelona, Spain
| | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, Marseille, France
| | | | - Stephen Von Barbeleden
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Sven Plein
- Université Paris Cité, Department of Cardiology, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, Inserm U-942, MIRACL.ai, Paris, France
| | - Theo Pezel
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh
| | - Marc R Dweck
- Cardiology Department, University Hospital Ramón y Cajal. Madrid. Spain
| | - Pepe L Zamorano
- Cardiology Department, University Hospital Ramón y Cajal. Madrid. Spain
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
- CIBERCV, Instituto de Salud Carlos III (ISCIII). Spain
| | | | - Jordi S Dahl
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Bogdan A Popescu
- University of Medicine and Pharmacy 'Carol Davila' - Euroecolab, Emergency Institute for Cardiovascular Diseases 'Prof. Dr. C.C. Iliescu', Bucharest, Romania
| | - Bernard Cosyns
- Department of Cardiology, University Hospital Brussels, Laarbeeklaan 101, Jette, Brussels 1090, Belgium
| | - Nina Ajmone-Marsan
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands
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Aratikatla A, Safder T, Ayuba G, Appadurai V, Gupta A, Markl M, Thomas J, Lee J. Impact of measurement location on direct mitral regurgitation quantification using four-dimensional flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2025; 27:101847. [PMID: 39864744 PMCID: PMC11870250 DOI: 10.1016/j.jocmr.2025.101847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 01/10/2025] [Accepted: 01/21/2025] [Indexed: 01/28/2025] Open
Abstract
BACKGROUND Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) shows promise for quantifying mitral regurgitation (MR) by allowing for direct regurgitant volume (RVol) measurement using a plane precisely placed at the MR jet. However, the ideal location of a measurement plane remains unclear. This study aims to systematically examine how varying measurement locations affect RVol quantification and determine the optimal location using the momentum conservation principle of a free jet. METHODS Patients diagnosed with MR by transthoracic echocardiography (TTE) and scheduled for CMR were prospectively recruited. Regurgitant jet flow volume (RVoljet) and regurgitant jet flow momentum (RMomjet) were quantified using 4D flow CMR at seven locations along the jet axis, x. The reference plane (mid-plane, x = 0 mm) was positioned at the peak velocity of the jet at each cardiac phase, and three additional planes were positioned on either side of the jet, each 2.5 mm apart. RVoljet was compared to RVolTTE, measured by the proximal isovelocity surface area method, and RVolindirect, measured by subtracting aortic forward flow volume from the left ventricle stroke volume derived from two-dimensional phase contrast at the aortic valve and a stack of short-axis cine CMR techniques. RESULTS RVoljet and RMomjet were quantified in 45 patients (age 63±13, male 26). In patients with RVoljet at x = 0 mm ≥ 10 mL (n = 25), RVoljet consistently increased as the plane moved downstream. RVoljet measured furthest upstream (x = -7.5 mm) was significantly lower (39±11%, p<0.001) and RVoljet measured furthest downstream (x = 7.5 mm) was significantly higher (16±19%, p<0.001) than RVoljet at x = 0 mm. RMomjet similarly increased from x = -7.5 to 0 mm (57±12%, p<0.001) but stabilized from x = 0-7.5 mm (-2±17%). From x = -7.5 to 7.5 mm, RVoljet was in consistent moderate agreement with RVolindirect (n = 41, bias = -2±24 to 8±32 mL, intraclass correlation coefficient = 0.55-0.63, p<0.001). CONCLUSION The location of a measurement plane significantly influences RVol quantification using the direct 4D flow CMR approach. Based on the converging profile of RMomjet, we propose the peak velocity of the jet as the optimal position.
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Affiliation(s)
- Adarsh Aratikatla
- School of Medicine, The Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Taimur Safder
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Gloria Ayuba
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Vinesh Appadurai
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Aakash Gupta
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA
| | - James Thomas
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jeesoo Lee
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
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Lamy J, Gonzales RA, Xiang J, Seemann F, Huber S, Steele J, Wieben O, Heiberg E, Peters DC. Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast. Magn Reson Med 2024; 92:1838-1850. [PMID: 38817154 PMCID: PMC11341256 DOI: 10.1002/mrm.30163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 04/17/2024] [Accepted: 05/06/2024] [Indexed: 06/01/2024]
Abstract
PURPOSE Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automated valve-tracking 2D method for measuring flow through the dynamic tricuspid valve. METHODS Nine healthy subjects and 2 patients were imaged. The approach uses a previously trained deep learning network, TVnet, to automatically track the tricuspid valve plane from long-axis cine images. Subsequently, the tracking information is used to acquire 2D phase contrast (PC) with a dynamic (moving) acquisition plane that tracks the valve. Direct diastolic net flows evaluated from the dynamic PC sequence were compared with flows from 2D-PC scans acquired in a static slice localized at the end-systolic valve position, and also ventricular stroke volumes (SVs) using both planimetry and 2D PC of the great vessels. RESULTS The mean tricuspid valve systolic excursion was 17.8 ± 2.5 mm. The 2D valve-tracking PC net diastolic flow showed excellent correlation with SV by right-ventricle planimetry (bias ± 1.96 SD = -0.2 ± 10.4 mL, intraclass correlation coefficient [ICC] = 0.92) and aortic PC (-1.0 ± 13.8 mL, ICC = 0.87). In comparison, static tricuspid valve 2D PC also showed a strong correlation but had greater bias (p = 0.01) versus the right-ventricle SV (10.6 ± 16.1 mL, ICC = 0.61). In most (8 of 9) healthy subjects, trace regurgitation was measured at begin-systole. In one patient, valve-tracking PC displayed a high-velocity jet (380 cm/s) with maximal velocity agreeing with echocardiography. CONCLUSION Automated valve-tracking 2D PC is a feasible route toward evaluation of tricuspid regurgitant velocities, potentially solving a major clinical challenge.
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Affiliation(s)
- Jérôme Lamy
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France
| | - Ricardo A Gonzales
- Oxford Center for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jie Xiang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Felicia Seemann
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Steffen Huber
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Jeremy Steele
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Oliver Wieben
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Einar Heiberg
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Dana C Peters
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
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Safarkhanlo Y, Jung B, Bernhard B, Peper ES, Kwong RY, Bastiaansen JAM, Gräni C. Mitral valve regurgitation assessed by intraventricular CMR 4D-flow: a systematic review on the technological aspects and potential clinical applications. Int J Cardiovasc Imaging 2023; 39:1963-1977. [PMID: 37322317 PMCID: PMC10589148 DOI: 10.1007/s10554-023-02893-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 06/03/2023] [Indexed: 06/17/2023]
Abstract
Cardiac magnetic resonance (CMR) four-dimensional (4D) flow is a novel method for flow quantification potentially helpful in management of mitral valve regurgitation (MVR). In this systematic review, we aimed to depict the clinical role of intraventricular 4D-flow in MVR. The reproducibility, technical aspects, and comparison against conventional techniques were evaluated. Published studies on SCOPUS, MEDLINE, and EMBASE were included using search terms on 4D-flow CMR in MVR. Out of 420 screened articles, 18 studies fulfilled our inclusion criteria. All studies (n = 18, 100%) assessed MVR using 4D-flow intraventricular annular inflow (4D-flowAIM) method, which calculates the regurgitation by subtracting the aortic forward flow from the mitral forward flow. Thereof, 4D-flow jet quantification (4D-flowjet) was assessed in 5 (28%), standard 2D phase-contrast (2D-PC) flow imaging in 8 (44%) and the volumetric method (the deviation of left ventricle stroke volume and right ventricular stroke volume) in 2 (11%) studies. Inter-method correlations among the 4 MVR quantification methods were heterogeneous across studies, ranging from moderate to excellent correlations. Two studies compared 4D-flowAIM to echocardiography with moderate correlation. In 12 (63%) studies the reproducibility of 4D-flow techniques in quantifying MVR was studied. Thereof, 9 (75%) studies investigated the reproducibility of the 4D-flowAIM method and the majority (n = 7, 78%) reported good to excellent intra- and inter-reader reproducibility. Intraventricular 4D-flowAIM provides high reproducibility with heterogeneous correlations to conventional quantification methods. Due to the absence of a gold standard and unknown accuracies, future longitudinal outcome studies are needed to assess the clinical value of 4D-flow in the clinical setting of MVR.
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Affiliation(s)
- Yasaman Safarkhanlo
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland
| | - Bernd Jung
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Benedikt Bernhard
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland
| | - Eva S Peper
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
- Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica A M Bastiaansen
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
- Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland.
- Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
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Bai X, Fu M, Li Z, Gao P, Zhao H, Li R, Sui B. Distribution and regional variation of wall shear stress in the curved middle cerebral artery using four-dimensional flow magnetic resonance imaging. Quant Imaging Med Surg 2022; 12:5462-5473. [PMID: 36465823 PMCID: PMC9703110 DOI: 10.21037/qims-22-67] [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: 01/24/2022] [Accepted: 08/30/2022] [Indexed: 12/05/2023]
Abstract
BACKGROUND To investigate the distribution and regional variation of wall shear stress (WSS) in the curved middle cerebral artery (MCA) in healthy individuals using four-dimensional (4D) flow magnetic resonance imaging (MRI). METHODS A total of 44 healthy participants (18 males; mean ages: 27.16±5.69 years) were included in this cross-sectional study. The WSS parameters of mean, minimum, and maximum values, the coefficient of variation of time-averaged WSS (TAWSSCV), and the maximum values of the oscillatory shear index (OSI) were calculated and compared in the curved proximal (M1) segments. Three cross-sectional planes were selected: the location perpendicular to the beginning of the long axis of the curved M1 segment of the MCA (proximal section), the most curved M1 location (curved M1 section), and the location before the insular (M2) segment bifurcation (distal section). The WSS and OSI parameters of the proximal, curved, and distal sections of the curved M1 segment were compared, including the inner and outer curvatures of the curved M1 section. RESULTS Of the curved M1 segments, the curved M1 section had significantly lower minimum TAWSS values than the proximal (P=0.031) and distal sections (P=0.002), and the curved M1 section had significantly higher maximum OSI values than the distal section (P=0.001). The TAWSSCV values at the curved M1 section were significantly higher than the proximal (P=0.001) and distal sections (P<0.001). At the curved M1 section, the inner curvature showed a significantly lower minimum TAWSS (P=0.013) and higher maximum OSI values (P=0.002) than the outer curvature. CONCLUSIONS There are distribution variation of WSS and OSI parameters at the curved M1 section of the curved MCA, and the inner curvature of the curved M1 section has the lowest WSS and highest OSI distribution. The local hemodynamic features of the curved MCA may be related to the predilection for atherosclerotic plaque development.
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Affiliation(s)
- Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mingzhu Fu
- Center for Biomedical Imaging Research, Biomedical Engineering Department, School of Medicine, Tsinghua University, Beijing, China
| | - Zhiye Li
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peiyi Gao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haiqing Zhao
- Department of Radiology, Beijing Chui Yang Liu Hospital, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Biomedical Engineering Department, School of Medicine, Tsinghua University, Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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Fazzari F, Cannata F, Maurina M, Bragato RM, Francone M. Multi-Modality Imaging of the Tricuspid Valve: From Tricuspid Valve Disease to Catheter-Based Interventions. Rev Cardiovasc Med 2022; 23:199. [PMID: 39077186 PMCID: PMC11273762 DOI: 10.31083/j.rcm2306199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 07/31/2024] Open
Abstract
Tricuspid valve disease represents a major health problem that affects a wide proportion of heart failure patients with a significant prognostic impact. In recent years an increasing number of minimally invasive and transcatheter treatments have been developed. The choice of the optimal transcatheter device therapy needs a careful patient selection and a dedicated anatomic assessment, mainly based on echocardiographic and computed tomography evaluation. Moreover, cardiac magnetic resonance has an established role in the functional assessment of right heart chambers with relevant prognostic implications. In this review we describe the role of multimodality imaging in the tricuspid valve disease assessment with an intervention-oriented perspective, from the pre-operative planning for different devices to the intraprocedural guide during transcatheter edge-to-edge repair.
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Affiliation(s)
- Fabio Fazzari
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Department of Cardiovascular Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
| | - Francesco Cannata
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Department of Cardiovascular Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
| | - Matteo Maurina
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Department of Cardiovascular Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
| | - Renato Maria Bragato
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Department of Cardiovascular Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Department of Radiology, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan Italy
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Manning WJ. 2021 - State of our JCMR. J Cardiovasc Magn Reson 2022; 24:14. [PMID: 35246157 PMCID: PMC8896069 DOI: 10.1186/s12968-021-00840-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 11/10/2022] Open
Abstract
There were 89 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2020, including 71 original research papers, 5 technical notes, 6 reviews, 4 Society for Cardiovascular Magnetic Resonance (SCMR) position papers/guidelines/protocols and 3 corrections. The volume was up 12.7% from 2019 (n = 79) with a corresponding 17.9% increase in manuscript submissions from 369 to 435. This led to a slight increase in the acceptance rate from 22 to 23%. The quality of the submissions continues to be high. The 2020 JCMR Impact Factor (which is published in June 2020) slightly increased from 5.361 to 5.364 placing us in the top quartile of Society and cardiac imaging journals. Our 5 year impact factor increased from 5.18 to 6.52. Fourteen years ago, the JCMR was at the forefront of medical and medical society journal migration to the Open-Access format. The Open-Access system has dramatically increased the availability and citation of JCMR publications with accesses now exceeding 1.2 M! It takes a village to run a journal. JCMR is blessed to have a group of very dedicated Associate Editors, Guest Editors, Journal Club Editors, and Reviewers. I thank each of them for their efforts to ensure that the review process occurs in a timely and responsible manner. These efforts have allowed the JCMR to continue as the premier journal of our field. My role, and the entire process would not be possible without the dedication and efforts of our new managing editor, Jennifer Rodriguez, whose premier organizational efforts have allowed for streamlining of the review process and marked improvement in our time-to-decision (see later). As I begin my 6th and final year as your editor-in-chief, I thank you for entrusting me with the JCMR editorship. I hope that you will continue to send us your very best, high quality manuscripts for JCMR consideration and that our readers will continue to look to JCMR for the very best/state-of-the-art CMR publications. The editorial process continues to be a tremendously fulfilling experience and the opportunity to review manuscripts that reflect the best in our field remains a great joy and true highlight of my week!
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Affiliation(s)
- Warren J Manning
- Departments of Medicine (Cardiovascular Division) and Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, 02215, USA.
- JCMR Editorial Office, Boston, Massachusetts, 02215, USA.
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Henning RJ. Tricuspid valve regurgitation: current diagnosis and treatment. AMERICAN JOURNAL OF CARDIOVASCULAR DISEASE 2022; 12:1-18. [PMID: 35291509 PMCID: PMC8918740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 11/10/2021] [Indexed: 06/14/2023]
Abstract
Tricuspid regurgitation (TR) is present in 1.6 million individuals in the United States and 3.0 million people in Europe. Functional TR, the most common form of TR, is caused by cardiomyopathies, LV valve disease, or pulmonary disease. The five-year survival with severe TR and HFrEF is 34%. Echocardiography can assess the TR etiology/severity, measure RA and RV size and function, estimate pulmonary pressure, and characterize LV disease. Management includes diuretics, ACE inhibitors, and aldosterone antagonists. Surgical annuloplasty or valve replacement should be considered in patients with progressive RV dilatation without severe LV dysfunction and pulmonary hypertension. Transcatheter repair/replacement is possible in patients with a LVEF <40%, dilated annuli, and impaired RV function. The diagnosis and treatment of TR, including coaptation, annuloplasty devices and prosthetic valves, success rates, morbidity/mortality, and trials are discussed. Transcatheter tricuspid valve repair/replacement is an emerging therapy for high-risk patients with TR who would otherwise have a dismal clinical prognosis.
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Loke YH, Capuano F, Balaras E, Olivieri LJ. Computational Modeling of Right Ventricular Motion and Intracardiac Flow in Repaired Tetralogy of Fallot. Cardiovasc Eng Technol 2022; 13:41-54. [PMID: 34169460 PMCID: PMC8702579 DOI: 10.1007/s13239-021-00558-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 06/08/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE Patients with repaired Tetralogy of Fallot (rTOF) will develop dilation of the right ventricle (RV) from chronic pulmonary insufficiency and require pulmonary valve replacement (PVR). Cardiac MRI (cMRI) is used to guide therapy but has limitations in studying novel intracardiac flow parameters. This pilot study aimed to demonstrate feasibility of reconstructing RV motion and simulating intracardiac flow in rTOF patients, exclusively using conventional cMRI and an immersed-boundary method computational fluid dynamic (CFD) solver. METHODS Four rTOF patients and three normal controls underwent cMRI including 4D flow. 3D RV models were segmented from cMRI images. Feature-tracking software captured RV endocardial contours from cMRI long-axis and short-axis cine stacks. RV motion was reconstructed via diffeomorphic mapping (Deformetrica, deformetrica.org), serving as the domain boundary for CFD. Fully-resolved direct numerical simulations were performed over several cardiac cycles. Intracardiac vorticity, kinetic energy (KE) and turbulent kinetic energy (TKE) was measured. For validation, RV motion was compared to manual tracings, results of KE were compared between CFD and 4D flow. RESULTS Diastolic vorticity and TKE in rTOF patients were 4.12 ± 2.42 mJ/L and 115 ± 27/s, compared to 2.96 ± 2.16 mJ/L and 78 ± 45/s in controls. There was good agreement between RV motion and manual tracings. The difference in diastolic KE between CFD and 4D flow by Bland-Altman analysis was - 0.89910 to 2 mJ/mL (95% limits of agreement: - 1.351 × 10-2 mJ/mL to 1.171 × 10-2 mJ/mL). CONCLUSION This CFD framework can produce intracardiac flow in rTOF patients. CFD has the potential for predicting the effects of PVR in rTOF patients and improve the clinical indications guided by cMRI.
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Affiliation(s)
- Yue-Hin Loke
- Division of Cardiology, Children's National Hospital, 111 Michigan Ave NW W3-200, Washington, DC, 20010, USA.
| | - Francesco Capuano
- Department of Industrial Engineering, Università degli Studi di Napoli "Federico II", 80125, Naples, Italy
- Department of Mechanics, Mathematics and Management, Politecnico di Bari, 70126, Bari, Italy
| | - Elias Balaras
- Department of Mechanical and Aerospace Engineering, George Washington University, Washington, DC, 20052, USA
| | - Laura J Olivieri
- Division of Cardiology, Children's National Hospital, 111 Michigan Ave NW W3-200, Washington, DC, 20010, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
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Gupta AN, Avery R, Soulat G, Allen BD, Collins JD, Choudhury L, Bonow RO, Carr J, Markl M, Elbaz MSM. Direct mitral regurgitation quantification in hypertrophic cardiomyopathy using 4D flow CMR jet tracking: evaluation in comparison to conventional CMR. J Cardiovasc Magn Reson 2021; 23:138. [PMID: 34865629 PMCID: PMC8647422 DOI: 10.1186/s12968-021-00828-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 11/16/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Quantitative evaluation of mitral regurgitation (MR) in hypertrophic cardiomyopathy (HCM) by cardiovascular magnetic resonance (CMR) relies on an indirect volumetric calculation. The aim of this study was to directly assess and quantify MR jets in patients with HCM using 4D flow CMR jet tracking in comparison to standard-of-care CMR indirect volumetric method. METHODS This retrospective study included patients with HCM undergoing 4D flow CMR. By the indirect volumetric method from CMR, MR volume was quantified as left ventricular stroke volume minus forward aortic volume. By 4D flow CMR direct jet tracking, multiplanar reformatted planes were positioned in the peak velocity of the MR jet during systole to calculate through-plane regurgitant flow. MR severity was collected for agreement analysis from a clinical echocardiograms performed within 1 month of CMR. Inter-method and inter-observer agreement were assessed by intraclass correlation coefficient (ICC), Bland-Altman analysis, and Cohen's kappa. RESULTS Thirty-seven patients with HCM were included. Direct jet tracking demonstrated good inter-method agreement of MR volume compared to the indirect volumetric method (ICC = 0.80, p = 0.004) and fair agreement of MR severity (kappa = 0.27, p = 0.03). Direct jet tracking showed higher agreement with echocardiography (kappa = 0.35, p = 0.04) than indirect volumetric method (kappa = 0.16, p = 0.35). Inter-observer reproducibility of indirect volumetric method components revealed the lowest reproducibility in end-systolic volume (ICC = 0.69, p = 0.15). Indirect volumetric method showed good agreement of MR volume (ICC = 0.80, p = 0.003) and fair agreement of MR severity (kappa = 0.38, p < 0.001). Direct jet tracking demonstrated (1) excellent inter-observer reproducibility of MR volume (ICC = 0.97, p < 0.001) and MR severity (kappa = 0.84, p < 0.001) and (2) excellent intra-observer reproducibility of MR volume (ICC = 0.98, p < 0.001) and MR severity (kappa = 0.88, p < 0.001). CONCLUSIONS Quantifying MR and assessing MR severity by indirect volumetric method in HCM patients has limited inter-observer reproducibility. 4D flow CMR jet tracking is a potential alternative technique to directly quantify and assess MR severity with excellent inter- and intra-observer reproducibility and higher agreement with echocardiography in this population.
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Affiliation(s)
- Aakash N Gupta
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
| | - Ryan Avery
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
| | - Gilles Soulat
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
| | | | - Lubna Choudhury
- Department of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Robert O Bonow
- Department of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - James Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA
- Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, IL, 60208, USA
| | - Mohammed S M Elbaz
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
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11
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Raimondi F, Martins D, Coenen R, Panaioli E, Khraiche D, Boddaert N, Bonnet D, Atkins M, El-Said H, Alshawabkeh L, Hsiao A. Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation. Radiol Cardiothorac Imaging 2021; 3:e210161. [PMID: 34934948 PMCID: PMC8686005 DOI: 10.1148/ryct.210161] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/04/2021] [Accepted: 11/12/2021] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess the ability of four-dimensional (4D) flow MRI to quantify flow volume of the Fontan circuit, including the frequency and hemodynamic contribution of systemic-to-pulmonary venovenous collateral vessels. MATERIALS AND METHODS In this retrospective study, patients with Fontan circulation were included from three institutions (2017-2021). Flow measurements were performed at several locations along the circuit by two readers, and collateral shunt volumes were quantified. The frequency of venovenous collaterals and structural defects were tabulated from concurrent MR angiography, contemporaneous CT, or catheter angiography and related to Fontan clinical status. Statistical analysis included Pearson and Spearman correlation and Bland-Altman analysis. RESULTS Seventy-five patients (mean age, 20 years; range, 5-58 years; 46 female and 29 male patients) were included. Interobserver agreement was high for aortic output, pulmonary arteries, pulmonary veins, superior vena cava (Glenn shunt), and inferior vena cava (Fontan conduit) (range, ρ = 0.913-0.975). Calculated shunt volume also showed strong agreement, on the basis of the difference between aortic and pulmonary flow (ρ = 0.935). A total of 37 of 75 (49%) of the patients exhibited shunts exceeding 1.00 L/min, 81% (30 of 37) of whom had pulmonary venous or atrial flow volume step-ups and corresponding venovenous collaterals. A total of 12% of patients (nine of 75) exhibited a high-output state (>4 L/min/m2), most of whom had venovenous shunts exceeding 30% of cardiac output. CONCLUSION Fontan flow and venovenous shunting can be reliably quantified at 4D flow MRI; high-output states were found in a higher proportion of patients than expected, among whom venovenous collaterals were common and constituted a substantial proportion of cardiac output.Keywords: Pediatrics, MR Angiography, Cardiac, Technology Assessment, Hemodynamics/Flow Dynamics, Congenital Supplemental material is available for this article. © RSNA, 2021.
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Affiliation(s)
- Francesca Raimondi
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Duarte Martins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Raluca Coenen
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Elena Panaioli
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Diala Khraiche
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Nathalie Boddaert
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Damien Bonnet
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Melany Atkins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Howaida El-Said
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Laith Alshawabkeh
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Albert Hsiao
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
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12
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Lee J, Gupta AN, Ma LE, Scott MB, Mason OR, Wu E, Thomas JD, Markl M. Valvular regurgitation flow jet assessment using in vitro 4D flow MRI: Implication for mitral regurgitation. Magn Reson Med 2021; 87:1923-1937. [PMID: 34783383 DOI: 10.1002/mrm.29082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/01/2021] [Accepted: 10/25/2021] [Indexed: 11/11/2022]
Abstract
PURPOSE The purpose of this study was to evaluate the accuracy of four-dimensional (4D) flow MRI for direct assessment of peak velocity, flow volume, and momentum of a mitral regurgitation (MR) flow jets using an in vitro pulsatile jet flow phantom. We systematically investigated the impact of spatial resolution and quantification location along the jet on flow quantities with Doppler ultrasound as a reference for peak velocity. METHODS Four-dimensional flow MRI data of a pulsatile jet through a circular, elliptical, and 3D-printed patient-specific MR orifice model was acquired with varying spatial resolution (1.5-5 mm isotropic voxel). Flow rate and momentum of the jet were quantified at various axial distances (x = 0-50 mm) and integrated over time to calculate Voljet and MTIjet . In vivo assessment of Voljet and MTIjet was performed on 3 MR patients. RESULTS Peak velocities were comparable to Doppler ultrasound (3% error, 1.5 mm voxel), but underestimated with decreasing spatial resolution (-40% error, 5 mm voxel). Voljet was similar to regurgitant volume (RVol) within 5 mm, and then increased linearly with the axial distance (19%/cm) because of flow entrainment. MTIjet remained steady throughout the jet (2%/cm) as theoretically predicted. Four and 9 voxels across the jet were required to measure flow volume and momentum-time-integral within 10% error, respectively. CONCLUSION Four-dimensional flow MRI detected accurate peak velocity, flow rate, and momentum for in vitro MR-mimicking flow jets. Spatial resolution significantly impacted flow quantitation, which otherwise followed predictions of flow entrainment and momentum conservation. This study provides important preliminary information for accurate in vivo MR assessment using 4D flow MRI.
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Affiliation(s)
- Jeesoo Lee
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Aakash N Gupta
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Liliana E Ma
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michel B Scott
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - O'Neil R Mason
- Division of Cardiology, Northwestern Memorial Hospital, Chicago, Illinois, USA
| | - Erik Wu
- Division of Cardiology, Northwestern Memorial Hospital, Chicago, Illinois, USA
| | - James D Thomas
- Division of Cardiology, Northwestern Memorial Hospital, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Illinois, USA
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13
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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: 1.5] [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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14
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Spampinato RA, Jahnke C, Crelier G, Lindemann F, Fahr F, Czaja-Ziolkowska M, Sieg F, Strotdrees E, Hindricks G, Borger MA, Paetsch I. Quantification of regurgitation in mitral valve prolapse with four-dimensional flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2021; 23:87. [PMID: 34233708 PMCID: PMC8265147 DOI: 10.1186/s12968-021-00783-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 05/26/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Four-dimensional cardiovascular magnetic resonance (CMR) flow assessment (4D flow) allows to derive volumetric quantitative parameters in mitral regurgitation (MR) using retrospective valve tracking. However, prior studies have been conducted in functional MR or in patients with congenital heart disease, thus, data regarding the usefulness of 4D flow CMR in case of a valve pathology like mitral valve prolapse (MVP) are scarce. This study aimed to evaluate the clinical utility of cine-guided valve segmentation of 4D flow CMR in assessment of MR in MVP when compared to standardized routine CMR and transthoracic echocardiography (TTE). METHODS Six healthy subjects and 54 patients (55 ± 16 years; 47 men) with MVP were studied. TTE severity grading used a multiparametric approach resulting in mild/mild-moderate (n = 12), moderate-severe (n = 12), and severe MR (n = 30). Regurgitant volume (RVol) and regurgitant fraction (RF) were also derived using standard volumetric CMR and 4D flow CMR datasets with direct measurement of regurgitant flow (4DFdirect) and indirect calculation using the formula: mitral valve forward flow - left ventricular outflow tract stroke volume (4DFindirect). RESULTS There was moderate to strong correlation between methods (r = 0.59-0.84, p < 0.001), but TTE proximal isovelocity surface area (PISA) method showed higher RVol as compared with CMR techniques (PISA vs. CMR, mean difference of 15.8 ml [95% CI 9.9-21.6]; PISA vs. 4DFindirect, 17.2 ml [8.4-25.9]; PISA vs. 4DFdirect, 27.9 ml [19.1-36.8]; p < 0.001). Only indirect CMR methods (CMR vs. 4DFindirect) showed moderate to substantial agreement (Lin's coefficient 0.92-0.97) without significant bias (mean bias 1.05 ± 26 ml [- 50 to 52], p = 0.757). Intra- and inter-observer reliability were good to excellent for all methods (ICC 0.87-0.99), but with numerically lower coefficient of variation for indirect CMR methods (2.5 to 12%). CONCLUSIONS In the assessment of patients with MR and MVP, cine-guided valve segmentation 4D flow CMR is feasible and comparable to standard CMR, but with lower RVol when TTE is used as reference. 4DFindirect quantification has higher intra- and inter-technique agreement than 4DFdirect quantification and might be used as an adjunctive technique for cross-checking MR quantification in MVP.
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Affiliation(s)
- Ricardo A Spampinato
- Department of Cardiac Surgery, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany.
| | - Cosima Jahnke
- Department of Cardiology and Electrophysiology, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Gerard Crelier
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Frank Lindemann
- Department of Cardiology and Electrophysiology, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Florian Fahr
- Department of Cardiac Surgery, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Monika Czaja-Ziolkowska
- Department of Cardiology and Electrophysiology, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Franz Sieg
- Department of Cardiac Surgery, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Elfriede Strotdrees
- Department of Cardiac Surgery, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Gerhard Hindricks
- Department of Cardiology and Electrophysiology, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Michael A Borger
- Department of Cardiac Surgery, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
| | - Ingo Paetsch
- Department of Cardiology and Electrophysiology, Heart Center Leipzig at University of Leipzig, Struempellstrasse 39, 04289, Leipzig, Germany
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Abstract
MRI is an essential diagnostic tool in the anatomic and functional evaluation of cardiovascular disease. In many practices, 2D phase-contrast (2D-PC) has been used for blood flow quantification. 4D Flow MRI is a time-resolved volumetric acquisition that captures the vector field of blood flow along with anatomic images. 4D Flow MRI provides a simpler acquisition compared to 2D-PC and facilitates a more accurate and comprehensive hemodynamic assessment. Advancements in accelerated imaging have significantly shortened scan times of 4D Flow MRI while preserving image quality, enabling this technology to transition from the research arena to routine clinical practice. In this article, we review technical optimization based on our clinical experience of over 10 years with 4D Flow MRI. We also present pearls and pitfalls in the practical application of 4D Flow MRI, including how to quantify cardiovascular shunts, valvular or vascular stenosis, and valvular regurgitation. As experience increases, and as 4D Flow sequences and post-processing software become more broadly available, 4D Flow MRI will likely become an essential component of cardiac imaging for practices involved in the management of congenital and acquired structural heart disease.
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