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Horvat D, Orzan RI, Agoston-Coldea L. A Non-Invasive Approach to Pulmonary Hypertension. J Clin Med 2025; 14:1473. [PMID: 40094931 PMCID: PMC11900574 DOI: 10.3390/jcm14051473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Revised: 02/18/2025] [Accepted: 02/19/2025] [Indexed: 03/19/2025] Open
Abstract
Pulmonary hypertension (PH) is a life-threatening cardiopulmonary disease associated with a poor prognosis, with progressive right ventricular (RV) failure being the main cause of death in this vulnerable population. Right heart catheterization remains the gold standard for assessing pulmonary hemodynamics. However, due to its invasive nature, non-invasive imaging methods are gaining increasing interest. Two-dimensional transthoracic echocardiography serves as the primary screening tool for PH and is widely used to estimate its likelihood. Nevertheless, this technique has several limitations, partially addressed through the assistance of a three-dimensional echocardiography. Cardiac magnetic resonance imaging (CMR) provides a comprehensive evaluation of both the morphology and hemodynamics of right ventricle-pulmonary artery unit, offering essential information for diagnosis, prognosis, and therapeutic monitoring. While two-dimensional cardiac CMR enables non-invasive characterization of pulmonary hemodynamics, advances in 4D-flow cardiac CMR allow for a more detailed analysis. These advancements enable the assessment of flow patterns, energetics, wall shear stress and severity, offering a more nuanced understanding of the disease. This review aims to provide an in-depth summary of the current data on advanced non-invasive imaging techniques for PH.
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Affiliation(s)
- Dalma Horvat
- 2nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 2-4 Clinicilor, 400006 Cluj-Napoca, Romania; (R.I.O.); (L.A.-C.)
| | - Rares Ilie Orzan
- 2nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 2-4 Clinicilor, 400006 Cluj-Napoca, Romania; (R.I.O.); (L.A.-C.)
| | - Lucia Agoston-Coldea
- 2nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 2-4 Clinicilor, 400006 Cluj-Napoca, Romania; (R.I.O.); (L.A.-C.)
- 2nd Department of Internal Medicine, Emergency County Hospital, 400347 Cluj-Napoca, Romania
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Zhao X, Lee PT, Hu L, Tan RS, Chai P, Yeo TJ, Leng S, Ouyang R, Bryant JA, Teo LL, van der Geest RJ, Yip JW, Tan JL, Zhong Y, Zhong L. Right Ventricular Restrictive Physiology Is Associated With Right Ventricular Direct Flow From 4D Flow CMR. JACC. ASIA 2024; 4:912-924. [PMID: 39802994 PMCID: PMC11712013 DOI: 10.1016/j.jacasi.2024.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 08/14/2024] [Accepted: 08/24/2024] [Indexed: 01/16/2025]
Abstract
Background Right ventricular restrictive physiology (RVRP) is a common occurrence in repaired tetralogy of Fallot (rTOF). The relationship of RVRP with biventricular blood flow components and kinetic energy (KE) from 4-dimensional (4D) flow cardiovascular magnetic resonance (CMR) is unclear. Objectives The purpose of this study was to investigate the association of 4D flow CMR parameters with RVRP in rTOF patients. Methods A total of 103 rTOF patients and 62 age and sex-matched healthy control subjects were prospectively recruited. All participants underwent CMR (cine, 2-dimensional phase-contrast, and 4D flow sequences), and cardiopulmonary exercise test in adult populations. RVRP was identified from pulmonary artery flow curve using 2-dimensional phase-contrast images. Biventricular flow components (direct flow, retained inflow, delayed ejection flow, and residual volume) and KE parameters normalized to end-diastolic volume (KEiEDV) were analyzed encompassing global, peak systolic, average systolic, average diastolic, peak E-wave, and peak A-wave. Results Compared with control subjects, rTOF patients had significantly lower RV direct flow and higher RV residual volume (both P < 0.001). All RV KEiEDV parameters, except peak A-wave, were higher in rTOF patients. In rTOF patients, 70 of 103 (68%) had RVRP, with increasing RV direct flow (27% vs 20%; P = 0.002) and RV peak E-wave KEiEDV (28.4 vs 20.7μJ/mL; P = 0.015) and decreasing RV residual volume (37% vs 42%; P = 0.039) than rTOF without RVRP. Exercise capacity was impaired in rTOF, although comparable between RVRP subgroups. Multivariable analysis revealed RV direct flow was an independent predictor of RVRP (OR: 1.158; 95% CI: 1.074-1.249; P < 0.001). Conclusions RVRP is associated with dilated RV, higher pulmonary regurgitation, and higher RV direct flow. (Integrated Computational modeling of Right Heart Mechanics and Blood Flow Dynamics in Congenital Heart Disease; NCT03217240).
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Affiliation(s)
- Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
| | - Phong Teck Lee
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
| | - Liwei Hu
- Duke-NUS Medical School, Singapore
| | - Ru-San Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Chai
- National University Hospital Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tee Joo Yeo
- National University Hospital Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shuang Leng
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Jennifer Ann Bryant
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lynette L.S. Teo
- National University Hospital Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - James W. Yip
- National University Hospital Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ju Le Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Biomedical Engineering, National University of Singapore, Singapore
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Voges I, Raimondi F, McMahon CJ, Ait-Ali L, Babu-Narayan SV, Botnar RM, Burkhardt B, Gabbert DD, Grosse-Wortmann L, Hasan H, Hansmann G, Helbing WA, Krupickova S, Latus H, Martini N, Martins D, Muthurangu V, Ojala T, van Ooij P, Pushparajah K, Rodriguez-Palomares J, Sarikouch S, Grotenhuis HB, Greil FG, Bohbot Y, Cikes M, Dweck M, Donal E, Grapsa J, Keenan N, Petrescu AM, Szabo L, Ricci F, Uusitalo V. Clinical impact of novel cardiovascular magnetic resonance technology on patients with congenital heart disease: a scientific statement of the Association for European Pediatric and Congenital Cardiology and the European Association of Cardiovascular Imaging of the European Society of Cardiology. Eur Heart J Cardiovasc Imaging 2024; 25:e274-e294. [PMID: 38985851 DOI: 10.1093/ehjci/jeae172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging is recommended in patients with congenital heart disease (CHD) in clinical practice guidelines as the imaging standard for a large variety of diseases. As CMR is evolving, novel techniques are becoming available. Some of them are already used clinically, whereas others still need further evaluation. In this statement, the authors give an overview of relevant new CMR techniques for the assessment of CHD. Studies with reference values for these new techniques are listed in the Supplementary data online, supplement.
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Affiliation(s)
- Inga Voges
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Lübeck/Kiel, Kiel, Germany
| | | | - Colin J McMahon
- Department of Paediatric Cardiology, Children's Health Ireland at Crumlin, Dublin 12, Ireland
| | - Lamia Ait-Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Heart Hospital, G. Monastery foundation, Massa, Italy
| | - Sonya V Babu-Narayan
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Institute for Biological and Medical Engineering and School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Barbara Burkhardt
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Dominik D Gabbert
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Lübeck/Kiel, Kiel, Germany
| | - Lars Grosse-Wortmann
- Division of Cardiology, Oregon Health and Science University Hospital, Portland, OR, USA
| | - Hosan Hasan
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Georg Hansmann
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Willem A Helbing
- Department of Pediatrics, Division of Cardiology, and Department of Radiology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Sylvia Krupickova
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, UK
- Department of Paediatric Cardiology, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK
| | - Heiner Latus
- Clinic for Pediatric Cardiology and Congenital Heart Disease Klinikum, Stuttgart Germany
| | - Nicola Martini
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Duarte Martins
- Pediatric Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Vivek Muthurangu
- Centre for Translational Cardiovascular Imaging, Institute of Cardiovascular Science, University College London, London, UK
| | - Tiina Ojala
- New Children's Hospital Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Jose Rodriguez-Palomares
- CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart, Amsterdam, The Netherlands
- Servicio de Cardiología, Hospital Universitario Vall Hebrón, Institut de Recerca Vall Hebrón (VHIR), Departamento de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Samir Sarikouch
- Department for Cardiothoracic, Transplant, and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Heynric B Grotenhuis
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, The Netherlands
| | - F Gerald Greil
- Department of Pediatrics, UT Southwestern/Children's Health, Dallas, TX, USA
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Karsenty C, Alattar Y, Mousseaux E, Marcilhacy G, Gencer U, Craiem D, Iserin L, Ladouceur M, Legendre A, Laredo M, Bonnet D, Malekzadeh-Milani S, Soulat G. 4D flow magnetic resonance imaging to assess right ventricular outflow tract in patients undergoing transcatheter pulmonary valve replacement. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2023; 76:793-802. [PMID: 36921915 DOI: 10.1016/j.rec.2023.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/22/2023] [Indexed: 03/14/2023]
Abstract
INTRODUCTION AND OBJECTIVES Magnetic resonance imaging (MRI) including 4D flow is used before percutaneous pulmonary valve implantation (PPVI). As PPVI is limited by the size of the right ventricular outflow tract (RVOT), accurate sizing is needed to plan the intervention. The aim of this study was to compare different MRI modalities and invasive angiography to balloon sizing of RVOT. METHODS Single-center prospective study of patients who underwent PPVI for isolated pulmonary regurgitation assessed by 4D flow MRI, 3D steady-state free precession/gradient echo (3D SSFP/GRE) and contrast magnetic resonance angiography. Balloon sizing was considered as the reference. RESULTS A total of 23 adults were included (mean age, 38.4±12.5 years). Eighteen patients underwent successful primary PPVI. The average of the narrowest RVOT diameter was 25.4±4.3 mm by balloon sizing. Compared to balloon sizing, RVOT diameters were better correlated when estimated by systolic 4D flow MRI (r=0.89, P<.001) than by diastolic 4D flow MRI (r=0.71, P <.001), 3D contrast magnetic resonance angiography (r=0.73; P <.001) and 3D SSFP/GRE (r=0.50; P=.04) and was not significantly correlated when estimated by 2D in diastole and systole. The mean difference between systolic 4D flow MRI and balloon sizing was 0.2 mm (95%CI, -3.5 to 3.9 mm), whereas it was wider with other techniques. CONCLUSIONS Beyond the quantification of pulmonary valve regurgitation, 4D flow allows accurate estimation of RVOT diameters, especially in systole, which is fundamental before planning PPVI.
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Affiliation(s)
- Clément Karsenty
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Pediatric and Congenital Cardiology, Children's Hospital, CHU Toulouse, Toulouse, France; Institut des Maladies Métaboliques et Cardiovasculaires, Université de Toulouse, Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Toulouse, France; Adult Congenital Cardiology Department, Clinique Pasteur, Toulouse, France.
| | - Yousef Alattar
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Elie Mousseaux
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Gabrielle Marcilhacy
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Umit Gencer
- Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Damian Craiem
- Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET, Buenos Aires, Argentina
| | - Laurence Iserin
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Magalie Ladouceur
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Antoine Legendre
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Mikael Laredo
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Institut de Cardiologie, Assistance Publique Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Damien Bonnet
- Pediatric and Congenital Department, M3C-Necker, Hôpital Universitaire Necker-Enfants malades, Paris, France; Institut IMAGINE, Université de Paris, Paris, France
| | - Sophie Malekzadeh-Milani
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Pediatric and Congenital Department, M3C-Necker, Hôpital Universitaire Necker-Enfants malades, Paris, France
| | - Gilles Soulat
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
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Maroun A, Quinn S, Dushfunian D, Weiss EK, Allen BD, Carr JC, Markl M. Clinical Applications of Four-Dimensional Flow MRI. Magn Reson Imaging Clin N Am 2023; 31:451-460. [PMID: 37414471 DOI: 10.1016/j.mric.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Four-dimensional flow MRI is a powerful phase contrast technique used for assessing three-dimensional (3D) blood flow dynamics. By acquiring a time-resolved velocity field, it enables flexible retrospective analysis of blood flow that can include qualitative 3D visualization of complex flow patterns, comprehensive assessment of multiple vessels, reliable placement of analysis planes, and calculation of advanced hemodynamic parameters. This technique provides several advantages over routine two-dimensional flow imaging techniques, allowing it to become part of clinical practice at major academic medical centers. In this review, we present the current state-of-the-art cardiovascular, neurovascular, and abdominal applications.
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Affiliation(s)
- Anthony Maroun
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
| | - Sandra Quinn
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - David Dushfunian
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Elizabeth K Weiss
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - James C Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
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Soulat G, Alattar Y, Ladouceur M, Craiem D, Pascaner A, Gencer U, Malekzadeh-Milani S, Iserin L, Karsenty C, Mousseaux E. Discordance between 2D and 4D flow in the assessment of pulmonary regurgitation severity: a right ventricular remodeling follow-up study. Eur Radiol 2023; 33:5455-5464. [PMID: 36905468 DOI: 10.1007/s00330-023-09502-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/06/2022] [Accepted: 02/06/2023] [Indexed: 03/12/2023]
Abstract
OBJECTIVES Pulmonary regurgitation (PR) is common in adult congenital heart disease (ACHD). 2D phase contrast MRI is the reference method for the quantification of PR and helps in the decision of pulmonary valve replacement (PVR). 4D flow MRI can be an alternative method to estimate PR but more validation is still needed. Our purpose was to compare 2D and 4D flow in PR quantification using the degree of right ventricular remodeling after PVR as the reference standard. METHODS In 30 adult patients with a pulmonary valve disease recruited between 2015 and 2018, PR was assessed using both 2D and 4D flow. Based on the clinical standard of care, 22 underwent PVR. The pre PVR estimate of PR was compared using the post-operative decrease in right ventricle end-diastolic volume on follow-up exam as reference. RESULTS In the overall cohort, regurgitant volume (Rvol) and regurgitant fraction (RF) of PR measured by 2D and 4D flow were well correlated but with moderate agreement in the overall cohort (r = 0.90, mean diff. -14 ± 12.5 mL; and r = 0.72, mean diff. -15 ± 13%; all p < 0.0001). Correlations between Rvol estimates and right ventricle end-diastolic volume decrease after PVR was higher with 4D flow (r = 0.80, p < 0.0001) than with 2D flow (r = 0.72, p < 0.0001). CONCLUSIONS In ACHD, PR quantification from 4D flow better predicts post-PVR right ventricle remodeling than that from 2D flow. Further studies are needed to evaluate the added value of this 4D flow quantification for guiding replacement decision. KEY POINTS • Using 4D flow MRI allows a better quantification of pulmonary regurgitation in adult congenital heart disease than 2D flow when taking right ventricle remodeling after pulmonary valve replacement as a reference. • A plane positioned perpendicular to the ejected flow volume as allowed by 4D flow provides better results to estimate pulmonary regurgitation.
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Affiliation(s)
- Gilles Soulat
- Université Paris cité, PARCC (Paris-Cardiovascular Research Center), INSERM 970, 20 rue Leblanc, F-75015, Paris, France.
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France.
| | - Yousef Alattar
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Magalie Ladouceur
- Université Paris cité, PARCC (Paris-Cardiovascular Research Center), INSERM 970, 20 rue Leblanc, F-75015, Paris, France
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Damian Craiem
- Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET, Buenos Aires, Argentina
| | - Ariel Pascaner
- Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET, Buenos Aires, Argentina
| | - Umit Gencer
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Sophie Malekzadeh-Milani
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Laurence Iserin
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Clement Karsenty
- Université Paris cité, PARCC (Paris-Cardiovascular Research Center), INSERM 970, 20 rue Leblanc, F-75015, Paris, France
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
| | - Elie Mousseaux
- Université Paris cité, PARCC (Paris-Cardiovascular Research Center), INSERM 970, 20 rue Leblanc, F-75015, Paris, France
- Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015, Paris, France
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Panaioli E, Khraiche D, Derridj N, Bonnet D, Raimondi F, Legendre A. Rightward imbalanced pulmonary perfusion predicts better exercise stroke volume in children after Fallot repair. Arch Cardiovasc Dis 2023; 116:373-381. [PMID: 37422422 DOI: 10.1016/j.acvd.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 07/10/2023]
Abstract
BACKGROUND Residual lesions following Fallot repair are primarily pulmonary regurgitation and right ventricular outflow tract obstruction. These lesions may impact exercise tolerance, particularly because of a poor increase in left ventricular stroke volume. Pulmonary perfusion imbalance is also common, but its effect on cardiac adaptation to exercise is not known. AIM To assess the association between pulmonary perfusion asymmetry and peak indexed exercise stroke volume (pSVi) in young patients. METHODS We retrospectively studied 82 consecutive patients with Fallot repair (mean age 15.2±3.8 years) who underwent echocardiography, four-dimensional flow magnetic resonance imaging and cardiopulmonary testing with pSVi measurement by thoracic bioimpedance. Normal pulmonary flow distribution was defined as right pulmonary artery perfusion between 43 and 61%. RESULTS Normal, rightward and leftward flow distributions were found in 52 (63%), 26 (32%) and four (5%) patients, respectively. Independent predictors of pSVi were right pulmonary artery perfusion (β=0.368, 95% confidence interval [CI] 0.188 to 0.548; P=0.0003), right ventricular ejection fraction (β=0.205, 95% CI 0.026 to 0.383; P=0.049), pulmonary regurgitation fraction (β=-0.283, 95% CI -0.495 to -0.072; P=0.006) and Fallot variant with pulmonary atresia (β=-0.213, 95% CI -0.416 to -0.009; P=0.041). The pSVi prediction was similar when the categorical variable right pulmonary artery perfusion>61% was used (β=0.210, 95% CI 0.006 to 0.415; P=0.044). CONCLUSION In addition to right ventricular ejection fraction, pulmonary regurgitation fraction and Fallot variant with pulmonary atresia, right pulmonary artery perfusion is a predictor of pSVi, in that rightward imbalanced pulmonary perfusion favours greater pSVi.
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Affiliation(s)
- Elena Panaioli
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France; Radiology Department, hôpital universitaire Necker-enfants malades, AP-HP, 75743 Paris, France
| | - Diala Khraiche
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France
| | - Neil Derridj
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France
| | - Damien Bonnet
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France; Paris Cité University, 75006 Paris, France
| | - Francesca Raimondi
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France; Radiology Department, hôpital universitaire Necker-enfants malades, AP-HP, 75743 Paris, France; Paris Cité University, 75006 Paris, France
| | - Antoine Legendre
- Cardiologie pédiatrique, M3C-Necker, hôpital universitaire Necker-enfants malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France.
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Bissell MM, Raimondi F, Ait Ali L, Allen BD, Barker AJ, Bolger A, Burris N, Carhäll CJ, Collins JD, Ebbers T, Francois CJ, Frydrychowicz A, Garg P, Geiger J, Ha H, Hennemuth A, Hope MD, Hsiao A, Johnson K, Kozerke S, Ma LE, Markl M, Martins D, Messina M, Oechtering TH, van Ooij P, Rigsby C, Rodriguez-Palomares J, Roest AAW, Roldán-Alzate A, Schnell S, Sotelo J, Stuber M, Syed AB, Töger J, van der Geest R, Westenberg J, Zhong L, Zhong Y, Wieben O, Dyverfeldt P. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023; 25:40. [PMID: 37474977 PMCID: PMC10357639 DOI: 10.1186/s12968-023-00942-z] [Citation(s) in RCA: 88] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023] Open
Abstract
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and great vessels with advice on acquisition parameters, post-processing workflows and integration into clinical practice. Furthermore, we define minimum quality assurance and validation standards for clinical centers. We also address the challenges faced in quality assurance and validation in the research setting. We also include a checklist for recommended publication standards, specifically for 4D Flow CMR. Finally, we discuss the current limitations and the future of 4D Flow CMR. This updated consensus paper will further facilitate widespread adoption of 4D Flow CMR in the clinical workflow across the globe and aid consistently high-quality publication standards.
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Affiliation(s)
- Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9NL, UK.
| | | | - Lamia Ait Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Foundation CNR Tuscany Region G. Monasterio, Massa, Italy
| | - Bradley D Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, USA
| | - Ann Bolger
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nicholas Burris
- Department of Radiology, University of Michigan, Ann Arbor, USA
| | - Carl-Johan Carhäll
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Tino Ebbers
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Anja Hennemuth
- Institute of Computer-Assisted Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Albert Hsiao
- Department of Radiology, University of California, San Diego, CA, USA
| | - Kevin Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Liliana E Ma
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Duarte Martins
- Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marci Messina
- Department of Radiology, Northwestern Medicine, Chicago, IL, USA
| | - Thekla H Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Movement Sciences, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cynthia Rigsby
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitari Vall d´Hebron,Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red-CV, CIBER CV, Madrid, Spain
| | - Arno A W Roest
- Department of Pediatric Cardiology, Willem-Alexander's Children Hospital, Leiden University Medical Center and Center for Congenital Heart Defects Amsterdam-Leiden, Leiden, The Netherlands
| | | | - Susanne Schnell
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
| | - Matthias Stuber
- Département de Radiologie Médicale, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Rob van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos Westenberg
- CardioVascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, School of Medicine, Shanghai Children's Medical Center Affiliated With Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Oliver Wieben
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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9
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Assadi H, Uthayachandran B, Li R, Wardley J, Nyi TH, Grafton-Clarke C, Swift AJ, Solana AB, Aben JP, Thampi K, Hewson D, Sawh C, Greenwood R, Hughes M, Kasmai B, Zhong L, Flather M, Vassiliou VS, Garg P. Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment. Eur Radiol Exp 2022; 6:46. [PMID: 36131185 PMCID: PMC9492816 DOI: 10.1186/s41747-022-00299-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/24/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients. RESULTS The median age of our patient population was 63 years (interquartile range [IQR] 54-73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51-78) versus 63 mL (57-77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30-1.75] versus 1.46 m/s [1.25-2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001). CONCLUSIONS Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation.
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Affiliation(s)
- Hosamadin Assadi
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bhalraam Uthayachandran
- grid.8241.f0000 0004 0397 2876Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | - Rui Li
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - James Wardley
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Tha H. Nyi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Ciaran Grafton-Clarke
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Andrew J. Swift
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | | | | | - Kurian Thampi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - David Hewson
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Chris Sawh
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Richard Greenwood
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Marina Hughes
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bahman Kasmai
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Liang Zhong
- grid.419385.20000 0004 0620 9905National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, 8 College Road, Singapore, Singapore
| | - Marcus Flather
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Vassilios S. Vassiliou
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Pankaj Garg
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK ,grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
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10
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Warmerdam EG, Neijzen RL, Voskuil M, Leiner T, Grotenhuis HB. Four-dimensional flow CMR in tetralogy of fallot: current perspectives. Br J Radiol 2022; 95:20210298. [PMID: 35073171 PMCID: PMC10993958 DOI: 10.1259/bjr.20210298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 11/06/2021] [Accepted: 01/12/2022] [Indexed: 11/05/2022] Open
Abstract
Tetralogy of Fallot is the most common cyanotic congenital heart defect, accounting for 10% of all CHD. Despite most patients now surviving well into adulthood, morbidity and mortality rates continue to be high. Surgical and percutaneous pulmonary valve replacement are procedures that are performed to prevent long-term complications from occurring. Unfortunately, pulmonary valve replacement based on current CMR criteria does not prevent postoperative ventricular arrhythmia, heart failure, and sudden cardiac death. Thus, a more advanced and comprehensive hemodynamic evaluation is needed to better understand right ventricular (dys)function in tetralogy of Fallot patients and to optimize the timing of valve replacement. Recently, four-dimensional flow CMR has emerged as a promising and non-invasive imaging technique that can provide comprehensive quantitative evaluation of flow in an entire volume within the chest in a single imaging session. With velocity-encoding in all three spatial directions throughout the complete cardiac cycle, it can provide analysis of cardiac, pulmonary artery and aortic flow volumes, flow velocities, flow patterns, as well as more advanced hemodynamic parameters. Four-dimensional flow CMR could therefore provide insights into the complex hemodynamics of tetralogy of Fallot and could potentially provide novel criteria for pulmonary valve replacement in these patients. The aim of this review is to provide an overview of available research on four-dimensional flow CMR research in tetralogy of Fallot patients.
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Affiliation(s)
- Evangeline Gerdine Warmerdam
- Department of Cardiology, University Medical Center Utrecht,
Heidelberglaan, Utrecht,
The Netherlands
- Department of Paediatric Cardiology, University Medical Center
Utrecht, Heidelberglaan, Utrecht,
The Netherlands
| | - Rosalie Lucy Neijzen
- Department of Paediatric Cardiology, University Medical Center
Utrecht, Heidelberglaan, Utrecht,
The Netherlands
- Honours Program Faculty of Medicine, University Medical Center
Utrecht, Utrecht, The
Netherlands
| | - Michiel Voskuil
- Department of Cardiology, University Medical Center Utrecht,
Heidelberglaan, Utrecht,
The Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht,
Heidelberglaan, Utrecht,
The Netherlands
| | - Heynric B Grotenhuis
- Department of Paediatric Cardiology, University Medical Center
Utrecht, Heidelberglaan, Utrecht,
The Netherlands
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11
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Elsayed A, Mauger CA, Ferdian E, Gilbert K, Scadeng M, Occleshaw CJ, Lowe BS, McCulloch AD, Omens JH, Govil S, Pushparajah K, Young AA. Right Ventricular Flow Vorticity Relationships With Biventricular Shape in Adult Tetralogy of Fallot. Front Cardiovasc Med 2022; 8:806107. [PMID: 35127866 PMCID: PMC8813860 DOI: 10.3389/fcvm.2021.806107] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
Remodeling in adults with repaired tetralogy of Fallot (rToF) may occur due to chronic pulmonary regurgitation, but may also be related to altered flow patterns, including vortices. We aimed to correlate and quantify relationships between vorticity and ventricular shape derived from atlas-based analysis of biventricular shape. Adult rToF (n = 12) patients underwent 4D flow and cine MRI imaging. Vorticity in the RV was computed after noise reduction using a neural network. A biventricular shape atlas built from 95 rToF patients was used to derive principal component modes, which were associated with vorticity and pulmonary regurgitant volume (PRV) using univariate and multivariate linear regression. Univariate analysis showed that indexed PRV correlated with 3 modes (r = −0.55,−0.50, and 0.6, all p < 0.05) associated with RV dilatation and an increase in basal bulging, apical bulging and tricuspid annulus tilting with more severe regurgitation, as well as a smaller LV and paradoxical movement of the septum. RV outflow and inflow vorticity were also correlated with these modes. However, total vorticity over the whole RV was correlated with two different modes (r = −0.62,−0.69, both p < 0.05). Higher vorticity was associated with both RV and LV shape changes including longer ventricular length, a larger bulge beside the tricuspid valve, and distinct tricuspid tilting. RV flow vorticity was associated with changes in biventricular geometry, distinct from associations with PRV. Flow vorticity may provide additional mechanistic information in rToF remodeling. Both LV and RV shapes are important in rToF RV flow patterns.
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Affiliation(s)
- Ayah Elsayed
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Charlène A. Mauger
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Edward Ferdian
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Kathleen Gilbert
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Miriam Scadeng
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | | | - Boris S. Lowe
- Department of Cardiology, Auckland District Health Board, Auckland, New Zealand
| | - Andrew D. McCulloch
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Jeffrey H. Omens
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Sachin Govil
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Kuberan Pushparajah
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - Alistair A. Young
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Department of Biomedical Engineering, King's College London, London, United Kingdom
- *Correspondence: Alistair A. Young
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12
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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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13
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Yao X, Hu L, Peng Y, Feng F, Ouyang R, Xie W, Wang Q, Sun A, Zhong Y. Right and left ventricular function and flow quantification in pediatric patients with repaired tetralogy of Fallot using four-dimensional flow magnetic resonance imaging. BMC Med Imaging 2021; 21:161. [PMID: 34719378 PMCID: PMC8559379 DOI: 10.1186/s12880-021-00693-2] [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: 06/03/2021] [Accepted: 10/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background To assess the accuracy and reproducibility of right ventricular (RV) and left ventricular (LV) function and flow measurements in children with repaired tetralogy of Fallot (rTOF) using four-dimensional (4D) flow, compared with conventional two-dimensional (2D) magnetic resonance imaging (MRI) sequences. Methods Thirty pediatric patients with rTOF were retrospectively enrolled to undergo 2D balanced steady-state free precession cine (2D b-SSFP cine), 2D phase contrast (PC), and 4D flow cardiac MRI. LV and RV volumes and flow in the ascending aorta (AAO) and main pulmonary artery (MPA) were quantified. Pearson’s or Spearman’s correlation tests, paired t-tests, the Wilcoxon signed-rank test, Bland–Altman analysis, and intraclass correlation coefficients (ICC) were performed. Results The 4D flow scan time was shorter compared with 2D sequences (P < 0.001). The biventricular volumes between 4D flow and 2D b-SSFP cine had no significant differences (P > 0.05), and showed strong correlations (r > 0.90, P < 0.001) and good consistency. The flow measurements of the AAO and MPA between 4D flow and 2D PC showed moderate to good correlations (r > 0.60, P < 0.001). There was good internal consistency in cardiac output. There was good intraobserver and interobserver biventricular function agreement (ICC > 0.85). Conclusions RV and LV function and flow quantification in pediatric patients with rTOF using 4D flow MRI can be measured accurately and reproducibly compared to those with conventional 2D sequences.
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Affiliation(s)
- Xiaofen Yao
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Liwei Hu
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yafeng Peng
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Fei Feng
- AI Imaging, GE Healthcare, No. 1 Huatuo Road, Shanghai, 201203, China
| | - Rongzhen Ouyang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Weihui Xie
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Qian Wang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Aimin Sun
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yumin Zhong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China.
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14
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Scannell CM, Hasaneen H, Greil G, Hussain T, Razavi R, Lee J, Pushparajah K, Duong P, Chiribiri A. Automated Quantitative Stress Perfusion Cardiac Magnetic Resonance in Pediatric Patients. Front Pediatr 2021; 9:699497. [PMID: 34540764 PMCID: PMC8446614 DOI: 10.3389/fped.2021.699497] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/05/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Myocardial ischemia occurs in pediatrics, as a result of both congenital and acquired heart diseases, and can lead to further adverse cardiac events if untreated. The aim of this work is to assess the feasibility of fully automated, high resolution, quantitative stress myocardial perfusion cardiac magnetic resonance (CMR) in a cohort of pediatric patients and to evaluate its agreement with the coronary anatomical status of the patients. Methods: Fourteen pediatric patients, with 16 scans, who underwent dual-bolus stress perfusion CMR were retrospectively analyzed. All patients also had anatomical coronary assessment with either CMR, CT, or X-ray angiography. The perfusion CMR images were automatically processed and quantified using an analysis pipeline previously developed in adults. Results: Automated perfusion quantification was successful in 15/16 cases. The coronary perfusion territories supplied by vessels affected by a medium/large aneurysm or stenosis (according to the AHA guidelines), induced by Kawasaki disease, an anomalous origin, or interarterial course had significantly reduced myocardial blood flow (MBF) (median (interquartile range), 1.26 (1.05, 1.67) ml/min/g) as compared to territories supplied by unaffected coronaries [2.57 (2.02, 2.69) ml/min/g, p < 0.001] and territories supplied by vessels with a small aneurysm [2.52 (2.45, 2.83) ml/min/g, p = 0.002]. Conclusion: Automatic CMR-derived MBF quantification is feasible in pediatric patients, and the technology could be potentially used for objective non-invasive assessment of ischemia in children with congenital and acquired heart diseases.
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Affiliation(s)
- Cian M. Scannell
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Hadeer Hasaneen
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Gerald Greil
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Tarique Hussain
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Jack Lee
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Phuoc Duong
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London, United Kingdom
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15
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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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16
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Elsayed A, Gilbert K, Scadeng M, Cowan BR, Pushparajah K, Young AA. Four-dimensional flow cardiovascular magnetic resonance in tetralogy of Fallot: a systematic review. J Cardiovasc Magn Reson 2021; 23:59. [PMID: 34011372 PMCID: PMC8136126 DOI: 10.1186/s12968-021-00745-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 03/17/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients with repaired Tetralogy of Fallot (rTOF) often develop cardiovascular dysfunction and require regular imaging to evaluate deterioration and time interventions such as pulmonary valve replacement. Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) enables detailed assessment of flow characteristics in all chambers and great vessels. We performed a systematic review of intra-cardiac 4D flow applications in rTOF patients, to examine clinical utility and highlight optimal methods for evaluating rTOF patients. METHODS A comprehensive literature search was undertaken in March 2020 on Google Scholar and Scopus. A modified version of the Critical Appraisal Skills Programme (CASP) tool was used to assess and score the applicability of each study. Important clinical outcomes were assessed including similarities and differences. RESULTS Of the 635 articles identified, 26 studies met eligibility for systematic review. None of these were below 59% applicability on the modified CASP score. Studies could be broadly classified into four groups: (i) pilot studies, (ii) development of new acquisition methods, (iii) validation and (vi) identification of novel flow features. Quantitative comparison with other modalities included 2D phase contrast CMR (13 studies) and echocardiography (4 studies). The 4D flow study applications included stroke volume (18/26;69%), regurgitant fraction (16/26;62%), relative branch pulmonary artery flow(4/26;15%), systolic peak velocity (9/26;35%), systemic/pulmonary total flow ratio (6/26;23%), end diastolic and end systolic volume (5/26;19%), kinetic energy (5/26;19%) and vorticity (2/26;8%). CONCLUSIONS 4D flow CMR shows potential in rTOF assessment, particularly in retrospective valve tracking for flow evaluation, velocity profiling, intra-cardiac kinetic energy quantification, and vortex visualization. Protocols should be targeted to pathology. Prospective, randomized, multi-centered studies are required to validate these new characteristics and establish their clinical use.
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Affiliation(s)
- Ayah Elsayed
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Kathleen Gilbert
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Miriam Scadeng
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Brett R. Cowan
- Institute of Environmental Science and Research, Auckland, New Zealand
| | | | - Alistair A. Young
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Department of Biomedical Engineering, King’s College London, London, UK
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17
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Commentary: Advanced assessments of flow velocity to optimize surgical repair and clinical outcomes in single-ventricle congenital heart disease. J Thorac Cardiovasc Surg 2021; 162:1809-1810. [PMID: 33812687 DOI: 10.1016/j.jtcvs.2021.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 11/23/2022]
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18
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Pewowaruk RJ, Barton GP, Johnson C, Ralphe JC, Francois CJ, Lamers L, Roldán-Alzate A. Stent interventions for pulmonary artery stenosis improve bi-ventricular flow efficiency in a swine model. J Cardiovasc Magn Reson 2021; 23:13. [PMID: 33627121 PMCID: PMC7905680 DOI: 10.1186/s12968-021-00709-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 01/06/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Branch pulmonary artery (PA) stenosis (PAS) commonly occurs in patients with congenital heart disease (CHD). Prior studies have documented technical success and clinical outcomes of PA stent interventions for PAS but the impact of PA stent interventions on ventricular function is unknown. The objective of this study was to utilize 4D flow cardiovascular magnetic resonance (CMR) to better understand the impact of PAS and PA stenting on ventricular contraction and ventricular flow in a swine model of unilateral branch PA stenosis. METHODS 18 swine (4 sham, 4 untreated left PAS, 10 PAS stent intervention) underwent right heart catheterization and CMR at 20 weeks age (55 kg). CMR included ventricular strain analysis and 4D flow CMR. RESULTS 4D flow CMR measured inefficient right ventricular (RV) and left ventricular (LV) flow patterns in the PAS group (RV non-dimensional (n.d.) vorticity: sham 82 ± 47, PAS 120 ± 47; LV n.d. vorticity: sham 57 ± 5, PAS 78 ± 15 p < 0.01) despite the PAS group having normal heart rate, ejection fraction and end-diastolic volume. The intervention group demonstrated increased ejection fraction that resulted in more efficient ventricular flow compared to untreated PAS (RV n.d. vorticity: 59 ± 12 p < 0.01; LV n.d. vorticity: 41 ± 7 p < 0.001). CONCLUSION These results describe previously unknown consequences of PAS on ventricular function in an animal model of unilateral PA stenosis and show that PA stent interventions improve ventricular flow efficiency. This study also highlights the sensitivity of 4D flow CMR biomarkers to detect earlier ventricular dysfunction assisting in identification of patients who may benefit from PAS interventions.
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MESH Headings
- Animals
- Computed Tomography Angiography
- Disease Models, Animal
- Endovascular Procedures/instrumentation
- Magnetic Resonance Imaging, Cine
- Myocardial Contraction
- Myocardial Perfusion Imaging
- Pulmonary Artery/diagnostic imaging
- Pulmonary Artery/physiopathology
- Recovery of Function
- Stenosis, Pulmonary Artery/diagnostic imaging
- Stenosis, Pulmonary Artery/physiopathology
- Stenosis, Pulmonary Artery/therapy
- Stents
- Sus scrofa
- Ventricular Dysfunction, Right/diagnostic imaging
- Ventricular Dysfunction, Right/physiopathology
- Ventricular Dysfunction, Right/therapy
- Ventricular Function, Left
- Ventricular Function, Right
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Affiliation(s)
- Ryan J Pewowaruk
- Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
| | - Gregory P Barton
- University of Wisconsin-Madison, Madison, WI, USA
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Cody Johnson
- University of Wisconsin-Madison, Madison, WI, USA
| | - J Carter Ralphe
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Division of Cardiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Christopher J Francois
- University of Wisconsin-Madison, Madison, WI, USA
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Luke Lamers
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Division of Cardiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Alejandro Roldán-Alzate
- Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
- University of Wisconsin-Madison, Madison, WI, USA
- Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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19
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Rizk J. 4D flow MRI applications in congenital heart disease. Eur Radiol 2020; 31:1160-1174. [PMID: 32870392 DOI: 10.1007/s00330-020-07210-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 07/04/2020] [Accepted: 08/19/2020] [Indexed: 12/15/2022]
Abstract
Advances in the diagnosis and management of congenital heart disease (CHD) have resulted in a growing population of patients surviving well into adulthood and requiring lifelong follow-up. Flow quantification is a central component in the assessment of patients with CHD. 4D flow magnetic resonance imaging (MRI) has emerged as a tool that enables comprehensive study of flow. It involves the acquisition of a three-dimensional time-resolved volume with velocity encoding in all three spatial directions along the cardiac cycle. This allows flow quantification and visualization of blood flow patterns as well as the study of advanced hemodynamic parameters as kinetic energy and wall shear stress. 4D flow MRI-based study of flow has given insight into the altered hemodynamics in CHD particularly in bicuspid aortic valve disease and Fontan circulation. The aim of this review is to discuss the expanding clinical and research applications of 4D flow MRI in CHD as well its limitations.Key Points• Three-dimensional velocity encoding allows not only flow quantification but also the visualization of multidirectional flow patterns and the study of advanced hemodynamic parameters.• 4D flow MRI has added insight into the abnormal hemodynamics involved in congenital heart disease in particular in bicuspid aortic valve and Fontan circulation.• The main limitation of 4D flow MRI in congenital heart disease is the relatively long scan duration required for the complete coverage of the heart and great vessels with adequate spatiotemporal resolution.
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Affiliation(s)
- Judy Rizk
- Department of Cardiology, Faculty of Medicine, Alexandria University, El-Khartoum Square, Alexandria, 21521, Egypt.
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20
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Joshi A, Ghadimi Mahani M, Dorfman A, Balasubramanian S. Cardiac MR Evaluation of Repaired Tetralogy of Fallot. Semin Roentgenol 2020; 55:290-300. [PMID: 32859345 DOI: 10.1053/j.ro.2020.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Aparna Joshi
- Department of Radiology, Section of Pediatric Radiology, Michigan Medicine, Ann Arbor, MI.
| | - Maryam Ghadimi Mahani
- Department of Radiology, Section of Pediatric Radiology and Division of Cardiothoracic Radiology, Michigan Medicine, Ann Arbor, MI
| | - Adam Dorfman
- Department of Pediatrics, Division of Pediatric Cardiology, Michigan Medicine, Ann Arbor, MI
| | - Sowmya Balasubramanian
- Department of Pediatrics, Division of Pediatric Cardiology, Michigan Medicine, Ann Arbor, MI
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