1
|
Ferrández-Escarabajal M, Hadley M, Sanz J. Cardiac Magnetic Resonance for Structural Aortic Valve Stenosis Procedures. J Clin Med 2024; 13:5184. [PMID: 39274397 PMCID: PMC11396107 DOI: 10.3390/jcm13175184] [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: 08/29/2024] [Accepted: 08/30/2024] [Indexed: 09/16/2024] Open
Abstract
The number of structural aortic valve procedures has increased significantly in recent years. Pre-procedural planning and follow-up with noninvasive testing are essential. Although cardiac magnetic resonance (CMR) is the gold standard for assessing left ventricular mass, volume, and function, it is not performed routinely in patients undergoing structural interventions. CMR can provide useful information for pre- and post-procedural assessment, including quantification of cardiac function, myocardial assessment, grading of the severity of valvular heart disease, and evaluation of extracardiac anatomy while avoiding the limitations of other non-invasive modalities. Here, we review the use cases, future perspectives, and limitations of CMR for patients undergoing structural aortic valve procedures.
Collapse
Affiliation(s)
- Marcos Ferrández-Escarabajal
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Hadley
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Javier Sanz
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| |
Collapse
|
2
|
Raisi-Estabragh Z, Szabo L, Schuermans A, Salih AM, Chin CWL, Vágó H, Altmann A, Ng FS, Garg P, Pavanello S, Marwick TH, Petersen SE. Noninvasive Techniques for Tracking Biological Aging of the Cardiovascular System: JACC Family Series. JACC Cardiovasc Imaging 2024:S1936-878X(24)00082-2. [PMID: 38597854 DOI: 10.1016/j.jcmg.2024.03.001] [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: 10/04/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
Population aging is one of the most important demographic transformations of our time. Increasing the "health span"-the proportion of life spent in good health-is a global priority. Biological aging comprises molecular and cellular modifications over many years, which culminate in gradual physiological decline across multiple organ systems and predispose to age-related illnesses. Cardiovascular disease is a major cause of ill health and premature death in older people. The rate at which biological aging occurs varies across individuals of the same age and is influenced by a wide range of genetic and environmental exposures. The authors review the hallmarks of biological cardiovascular aging and their capture using imaging and other noninvasive techniques and examine how this information may be used to understand aging trajectories, with the aim of guiding individual- and population-level interventions to promote healthy aging.
Collapse
Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Art Schuermans
- Faculty of Medicine, KU Leuven, Leuven, Belgium; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ahmed M Salih
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Department of Population Health Sciences, University of Leicester, Leicester UK; Department of Computer Science, Faculty of Science, University of Zakho, Zakho, Kurdistan Region, Iraq
| | - Calvin W L Chin
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore; Cardiovascular Academic Clinical Programme, Duke National University of Singapore Medical School, Singapore, Singapore
| | - Hajnalka Vágó
- Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Pankaj Garg
- University of East Anglia, Norwich Medical School, Norwich, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Sofia Pavanello
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy; Padua Hospital, Occupational Medicine Unit, Padua, Italy; University Center for Space Studies and Activities "Giuseppe Colombo" - CISAS, University of Padua, Padua, Italy
| | | | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Health Data Research UK, London, United Kingdom
| |
Collapse
|
3
|
Zolfaghari H, Andiapen M, Baumbach A, Mathur A, Kerswell RR. Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics. PLoS Comput Biol 2023; 19:e1011479. [PMID: 37851683 PMCID: PMC10635572 DOI: 10.1371/journal.pcbi.1011479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 11/09/2023] [Accepted: 08/24/2023] [Indexed: 10/20/2023] Open
Abstract
Spatial patterns of elevated wall shear stress and pressure due to blood flow past aortic stenosis (AS) are studied using GPU-accelerated patient-specific computational fluid dynamics. Three cases of moderate to severe AS, one with a dilated ascending aorta and two within the normal range (root diameter less than 4cm) are simulated for physiological waveforms obtained from echocardiography. The computational framework is built based on sharp-interface Immersed Boundary Method, where aortic geometries segmented from CT angiograms are integrated into a high-order incompressible Navier-Stokes solver. The key question addressed here is, given the presence of turbulence due to AS which increases wall shear stress (WSS) levels, why some AS patients undergo much less aortic dilation. Recent case studies of AS have linked the existence of an elevated WSS hotspot (due to impingement of AS on the aortic wall) to the dilation process. Herein we further investigate the WSS distribution for cases with and without dilation to understand the possible hemodynamics which may impact the dilation process. We show that the spatial distribution of elevated WSS is significantly more focused for the case with dilation than those without dilation. We further show that this focal area accommodates a persistent pocket of high pressure, which may have contributed to the dilation process through an increased wall-normal forcing. The cases without dilation, on the contrary, showed a rather oscillatory pressure behaviour, with no persistent pressure "buildup" effect. We further argue that a more proximal branching of the aortic arch could explain the lack of a focal area of elevated WSS and pressure, because it interferes with the impingement process due to fluid suction effects. These phenomena are further illustrated using an idealized aortic geometry. We finally show that a restored inflow eliminates the focal area of elevated WSS and pressure zone from the ascending aorta.
Collapse
Affiliation(s)
- Hadi Zolfaghari
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom
| | - Mervyn Andiapen
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
| | - Andreas Baumbach
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Anthony Mathur
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
| | - Rich R. Kerswell
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
Hwang JW. The Potential of Blood Speckle Imaging and 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography in Evaluating the Progression and Inflammation in Aortic Stenosis. J Cardiovasc Imaging 2023; 31:150-151. [PMID: 37488921 PMCID: PMC10374392 DOI: 10.4250/jcvi.2023.0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 07/26/2023] Open
Affiliation(s)
- Ji-Won Hwang
- Division of Cardiology, Department of Medicine, Ilsan Paik Hospital, Inje University School of Medicine, Goyang, Korea.
| |
Collapse
|
6
|
Fernandes JF, Gill H, Nio A, Faraci A, Galli V, Marlevi D, Bissell M, Ha H, Rajani R, Mortier P, Myerson SG, Dyverfeldt P, Ebbers T, Nordsletten DA, Lamata P. Non-invasive cardiovascular magnetic resonance assessment of pressure recovery distance after aortic valve stenosis. J Cardiovasc Magn Reson 2023; 25:5. [PMID: 36717885 PMCID: PMC9885657 DOI: 10.1186/s12968-023-00914-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/05/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Decisions in the management of aortic stenosis are based on the peak pressure drop, captured by Doppler echocardiography, whereas gold standard catheterization measurements assess the net pressure drop but are limited by associated risks. The relationship between these two measurements, peak and net pressure drop, is dictated by the pressure recovery along the ascending aorta which is mainly caused by turbulence energy dissipation. Currently, pressure recovery is considered to occur within the first 40-50 mm distally from the aortic valve, albeit there is inconsistency across interventionist centers on where/how to position the catheter to capture the net pressure drop. METHODS We developed a non-invasive method to assess the pressure recovery distance based on blood flow momentum via 4D Flow cardiovascular magnetic resonance (CMR). Multi-center acquisitions included physical flow phantoms with different stenotic valve configurations to validate this method, first against reference measurements and then against turbulent energy dissipation (respectively n = 8 and n = 28 acquisitions) and to investigate the relationship between peak and net pressure drops. Finally, we explored the potential errors of cardiac catheterisation pressure recordings as a result of neglecting the pressure recovery distance in a clinical bicuspid aortic valve (BAV) cohort of n = 32 patients. RESULTS In-vitro assessment of pressure recovery distance based on flow momentum achieved an average error of 1.8 ± 8.4 mm when compared to reference pressure sensors in the first phantom workbench. The momentum pressure recovery distance and the turbulent energy dissipation distance showed no statistical difference (mean difference of 2.8 ± 5.4 mm, R2 = 0.93) in the second phantom workbench. A linear correlation was observed between peak and net pressure drops, however, with strong dependences on the valvular morphology. Finally, in the BAV cohort the pressure recovery distance was 78.8 ± 34.3 mm from vena contracta, which is significantly longer than currently accepted in clinical practise (40-50 mm), and 37.5% of patients displayed a pressure recovery distance beyond the end of the ascending aorta. CONCLUSION The non-invasive assessment of the distance to pressure recovery is possible by tracking momentum via 4D Flow CMR. Recovery is not always complete at the ascending aorta, and catheterised recordings will overestimate the net pressure drop in those situations. There is a need to re-evaluate the methods that characterise the haemodynamic burden caused by aortic stenosis as currently clinically accepted pressure recovery distance is an underestimation.
Collapse
Affiliation(s)
- Joao Filipe Fernandes
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Harminder Gill
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Amanda Nio
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alessandro Faraci
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | | | - David Marlevi
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Malenka Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, Korea
| | - Ronak Rajani
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Cardiovascular Directorate, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Saul G Myerson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK
| | - 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
| | - 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
| | - David A Nordsletten
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Pablo Lamata
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| |
Collapse
|
7
|
Assadi H, Li R, Grafton-Clarke C, Uthayachandran B, Alabed S, Maiter A, Archer G, Swoboda PP, Sawh C, Ryding A, Nelthorpe F, Kasmai B, Ricci F, van der Geest RJ, Flather M, Vassiliou VS, Swift AJ, Garg P. Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler. BMC Cardiovasc Disord 2023; 23:24. [PMID: 36647000 PMCID: PMC9843884 DOI: 10.1186/s12872-023-03052-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Measurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic Doppler echocardiography (TTE) for the measurement of mitral inflow peak diastolic velocities. METHODS Patients with Doppler echocardiography and 4D flow cardiac magnetic resonance data were included retrospectively. An established automated technique was used to segment the left ventricular transvalvular flow using short-axis cine stack of images. Peak mitral E-wave and peak mitral A-wave velocities were automatically derived using in-plane velocity maps of transvalvular flow. Additionally, we checked the agreement between peak mitral E-wave velocity derived by 4D flow CMR and Doppler echocardiography in patients with sinus rhythm and atrial fibrillation (AF) separately. RESULTS Forty-eight patients were included (median age 69 years, IQR 63 to 76; 46% female). Data were split into three groups according to heart rhythm. The median peak E-wave mitral inflow velocity by automated 4D flow CMR was comparable with Doppler echocardiography in all patients (0.90 ± 0.43 m/s vs 0.94 ± 0.48 m/s, P = 0.132), sinus rhythm-only group (0.88 ± 0.35 m/s vs 0.86 ± 0.38 m/s, P = 0.54) and in AF-only group (1.33 ± 0.56 m/s vs 1.18 ± 0.47 m/s, P = 0.06). Peak A-wave mitral inflow velocity results had no significant difference between Doppler TTE and automated 4D flow CMR (0.81 ± 0.44 m/s vs 0.81 ± 0.53 m/s, P = 0.09) in all patients and sinus rhythm-only groups. Automated 4D flow CMR showed a significant correlation with TTE for measurement of peak E-wave in all patients group (r = 0.73, P < 0.001) and peak A-wave velocities (r = 0.88, P < 0.001). Moreover, there was a significant correlation between automated 4D flow CMR and TTE for peak-E wave velocity in sinus rhythm-only patients (r = 0.68, P < 0.001) and AF-only patients (r = 0.81, P = 0.014). Excellent intra-and inter-observer variability was demonstrated for both parameters. CONCLUSION Automated dynamic peak mitral inflow diastolic velocity tracing using 4D flow CMR is comparable to Doppler echocardiography and has excellent repeatability for clinical use. However, 4D flow CMR can potentially underestimate peak velocity in patients with AF.
Collapse
Affiliation(s)
- Hosamadin Assadi
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Rui Li
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Ciaran Grafton-Clarke
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bhalraam Uthayachandran
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Samer Alabed
- 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 ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ahmed Maiter
- 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 ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Gareth Archer
- 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
| | - Peter P. Swoboda
- grid.9909.90000 0004 1936 8403Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Chris Sawh
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Alisdair Ryding
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Faye Nelthorpe
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bahman Kasmai
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Fabrizio Ricci
- grid.412451.70000 0001 2181 4941Department of Neuroscience, Imaging and Clinical Sciences, “G.d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Rob J. van der Geest
- grid.10419.3d0000000089452978Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcus Flather
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Vassilios S. Vassiliou
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,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 ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Pankaj Garg
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ 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
| |
Collapse
|
8
|
Editorial commentary: The present and future of aortic stenosis assessment, prognostication and management. Trends Cardiovasc Med 2023; 33:44-45. [PMID: 34973411 DOI: 10.1016/j.tcm.2021.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 02/01/2023]
|
9
|
Gill H, Fernandes J, Chehab O, Prendergast B, Redwood S, Chiribiri A, Nordsletten D, Rajani R, Lamata P. Evaluation of aortic stenosis: From Bernoulli and Doppler to Navier-Stokes. Trends Cardiovasc Med 2023; 33:32-43. [PMID: 34920129 DOI: 10.1016/j.tcm.2021.12.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 12/07/2021] [Accepted: 12/07/2021] [Indexed: 02/01/2023]
Abstract
Uni-dimensional Doppler echocardiography data provide the mainstay of quantative assessment of aortic stenosis, with the transvalvular pressure drop a key indicator of haemodynamic burden. Sophisticated methods of obtaining velocity data, combined with improved computational analysis, are facilitating increasingly robust and reproducible measurement. Imaging modalities which permit acquisition of three-dimensional blood velocity vector fields enable angle-independent valve interrogation and calculation of enhanced measures of the transvalvular pressure drop. This manuscript clarifies the fundamental principles of physics that underpin the evaluation of aortic stenosis and explores modern techniques that may provide more accurate means to grade aortic stenosis and inform appropriate management.
Collapse
Affiliation(s)
- Harminder Gill
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Joao Fernandes
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Omar Chehab
- Cardiology Department, Guy's and St. Thomas's Hospital NHS Foundation Trust, London, UK
| | - Bernard Prendergast
- Cardiology Department, Guy's and St. Thomas's Hospital NHS Foundation Trust, London, UK
| | - Simon Redwood
- Cardiology Department, Guy's and St. Thomas's Hospital NHS Foundation Trust, London, UK
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - David Nordsletten
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Surgery and Biomedical Engineering, University of Michigan, 2800 Plymouth Rd, 48109, Ann Arbor, MI, USA
| | - Ronak Rajani
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Cardiology Department, Guy's and St. Thomas's Hospital NHS Foundation Trust, London, UK
| | - Pablo Lamata
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| |
Collapse
|
10
|
Njoku P, Grafton-Clarke C, Assadi H, Gosling R, Archer G, Swift AJ, Morris PD, Albaraikan A, Williams G, Westenberg J, Aben JP, Ledoux L, Alabed S, Flather M, Cameron D, Cabrero JB, Val JRD, Nair S, Ryding A, Sawh C, Swoboda PP, Levelt E, Chowdhary A, Vassiliou V, Zhong L, Garg P. Validation of time-resolved, automated peak trans-mitral velocity tracking: Two center four-dimensional flow cardiovascular magnetic resonance study. Int J Cardiol 2022; 364:148-156. [PMID: 35716937 DOI: 10.1016/j.ijcard.2022.06.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/05/2022] [Accepted: 06/10/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE We aim to validate four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) peak velocity tracking methods for measuring the peak velocity of mitral inflow against Doppler echocardiography. METHOD Fifty patients were recruited who had 4D flow CMR and Doppler Echocardiography. After transvalvular flow segmentation using established valve tracking methods, peak velocity was automatically derived using three-dimensional streamlines of transvalvular flow. In addition, a static-planar method was used at the tip of mitral valve to mimic Doppler technique. RESULTS Peak E-wave mitral inflow velocity was comparable between TTE and the novel 4D flow automated dynamic method (0.9 ± 0.5 vs 0.94 ± 0.6 m/s; p = 0.29) however there was a statistically significant difference when compared with the static planar method (0.85 ± 0.5 m/s; p = 0.01). Median A-wave peak velocity was also comparable across TTE and the automated dynamic streamline (0.77 ± 0.4 vs 0.76 ± 0.4 m/s; p = 0.77). A significant difference was seen with the static planar method (0.68 ± 0.5 m/s; p = 0.04). E/A ratio was comparable between TTE and both the automated dynamic and static planar method (1.1 ± 0.7 vs 1.15 ± 0.5 m/s; p = 0.74 and 1.15 ± 0.5 m/s; p = 0.5 respectively). Both novel 4D flow methods showed good correlation with TTE for E-wave (dynamic method; r = 0.70; P < 0.001 and static-planar method; r = 0.67; P < 0.001) and A-wave velocity measurements (dynamic method; r = 0.83; P < 0.001 and static method; r = 0.71; P < 0.001). The automated dynamic method demonstrated excellent intra/inter-observer reproducibility for all parameters. CONCLUSION Automated dynamic peak velocity tracing method using 4D flow CMR is comparable to Doppler echocardiography for mitral inflow assessment and has excellent reproducibility for clinical use.
Collapse
Affiliation(s)
- Paul Njoku
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Ciaran Grafton-Clarke
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Hosamadin Assadi
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Rebecca Gosling
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Gareth Archer
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Paul D Morris
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Abdulaziz Albaraikan
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Gareth Williams
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Jos Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Leon Ledoux
- Pie Medical Imaging BV, Maastricht, the Netherlands
| | - Samer Alabed
- Department of Infection, Immunity and Cardiovascular disease, University of Sheffield, Sheffield, United Kingdom
| | - Marcus Flather
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Donnie Cameron
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jordi Broncano Cabrero
- Cardiothoracic Imaging Unit, Hospital San Juan de Dios, Ressalta, HT Medica, Cordoba, Spain
| | - Javier Royuela Del Val
- Cardiothoracic Imaging Unit, Hospital San Juan de Dios, Ressalta, HT Medica, Cordoba, Spain
| | - Sunil Nair
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Alisdair Ryding
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Chris Sawh
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Eylem Levelt
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Amrit Chowdhary
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Vassilios Vassiliou
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School Singapore, Singapore
| | - Pankaj Garg
- University of East Anglia, Norwich Medical School, Norfolk, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, United Kingdom.
| |
Collapse
|
11
|
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: 3] [Impact Index Per Article: 1.5] [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.
Collapse
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
| |
Collapse
|
12
|
Abstract
Klinisches Problem Rauchen beeinflusst das kardiovaskuläre System des Körpers. Primär führt es entweder zu atheromatösen Plaques mit potenzieller Gefäßstenosierung oder zu aneurysmatischen Gefäßveränderungen mit potenzieller Rupturgefahr. Radiologische Standardverfahren Je nach Lokalisation ermöglicht die Sonographie eine initiale Einschätzung der Veränderungen. Eine Angiographie in Kombination mit Computertomographie (CT) oder Magnetresonanztomographie (MRT) ermöglicht die weiterführende Beurteilung und ggf. Therapieplanung. Ohne klinische Symptomatik wird bei Rauchern ohne sonstige Risikofaktoren oder Komorbiditäten keine bildgebende Diagnostik lediglich aufgrund des Rauchens empfohlen. Methodische Innovationen Aktuelle Leitlinien der entsprechenden Pathologien erkennen das Rauchen einstimmig als modifizierbaren Risikofaktor für kardiovaskuläre Erkrankungen an, weshalb stets eine Raucherentwöhnung als erster Schritt zur Prävention sekundärer Akutereignisse empfohlen wird. Bei Verdacht auf ein chronisches Koronarsyndrom erhöht das Rauchen die klinische Wahrscheinlichkeit, wodurch eher eine bildgebende Diagnostik indiziert werden sollte. Leistungsfähigkeit Obwohl das Rauchen weitreichende Folgen am gesamten kardiovaskulären System zeigt, bleibt zu klären, ob Raucher durch eine Modifikation aktueller Leitlinien zur Vorsorge und Diagnose hinsichtlich harter klinischer Endpunkte profitieren würden. Empfehlung für die Praxis Raucher sollten aufgrund des deutlich erhöhten kardiovaskulären Risikos zu einer Raucherentwöhnung beraten werden. Hinsichtlich konkreter Krankheitsbilder bedingt das Rauchen keine prinzipielle Modifikation der bildgebenden Abklärung, bei intermediärem Risiko kann aber tendenziell früher zur Bildgebung geraten werden.
Collapse
Affiliation(s)
- Mathias Pamminger
- Universitätsklinik für Radiologie, Medizinische Universität Innsbruck, Anichstr. 35, 6020, Innsbruck, Österreich
| | - Agnes Mayr
- Universitätsklinik für Radiologie, Medizinische Universität Innsbruck, Anichstr. 35, 6020, Innsbruck, Österreich.
| |
Collapse
|
13
|
Gorecka M, Bissell MM, Higgins DM, Garg P, Plein S, Greenwood JP. Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review. J Cardiovasc Magn Reson 2022; 24:49. [PMID: 35989320 PMCID: PMC9394062 DOI: 10.1186/s12968-022-00882-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 08/04/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Accurate evaluation of valvular pathology is crucial in the timing of surgical intervention. Whilst transthoracic echocardiography is widely available and routinely used in the assessment of valvular heart disease, it is bound by several limitations. Although cardiovascular magnetic resonance (CMR) imaging can overcome many of the challenges encountered by echocardiography, it also has a number of limitations. MAIN TEXT 4D Flow CMR is a novel technique, which allows time-resolved, 3-dimensional imaging. It enables visualisation and direct quantification of flow and peak velocities of all valves simultaneously in one simple acquisition, without any geometric assumptions. It also has the unique ability to measure advanced haemodynamic parameters such as turbulent kinetic energy, viscous energy loss rate and wall shear stress, which may add further diagnostic and prognostic information. Although 4D Flow CMR acquisition can take 5-10 min, emerging acceleration techniques can significantly reduce scan times, making 4D Flow CMR applicable in contemporary clinical practice. CONCLUSION 4D Flow CMR is an emerging CMR technique, which has the potential to become the new reference-standard method for the evaluation of valvular lesions. In this review, we describe the clinical applications, advantages and disadvantages of 4D Flow CMR in the assessment of valvular heart disease.
Collapse
Affiliation(s)
- Miroslawa Gorecka
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Malenka M Bissell
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
| |
Collapse
|
14
|
The Haemodynamic and Pathophysiological Mechanisms of Calcific Aortic Valve Disease. Biomedicines 2022; 10:biomedicines10061317. [PMID: 35740339 PMCID: PMC9220142 DOI: 10.3390/biomedicines10061317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/13/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022] Open
|
15
|
Grafton-Clarke C, Njoku P, Aben JP, Ledoux L, Zhong L, Westenberg J, Swift A, Archer G, Wild J, Hose R, Flather M, Vassiliou VS, Garg P. Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline. BMC Res Notes 2022; 15:151. [PMID: 35488286 PMCID: PMC9052497 DOI: 10.1186/s13104-022-06033-z] [Citation(s) in RCA: 2] [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: 11/27/2021] [Accepted: 04/11/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Doppler echocardiographic aortic valve peak velocity and peak pressure gradient assessment across the aortic valve (AV) is the mainstay for diagnosing aortic stenosis. Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) is emerging as a valuable diagnostic tool for estimating the peak pressure drop across the aortic valve, but assessment remains cumbersome. We aimed to validate a novel semi-automated pipeline 4D flow CMR method of assessing peak aortic value pressure gradient (AVPG) using the commercially available software solution, CAAS MR Solutions, against invasive angiographic methods. RESULTS We enrolled 11 patients with severe AS on echocardiography from the EurValve programme. All patients had pre-intervention doppler echocardiography, invasive cardiac catheterisation with peak pressure drop assessment across the AV and 4D flow CMR. The peak AVPG was 51.9 ± 35.2 mmHg using the invasive pressure drop method and 52.2 ± 29.2 mmHg for the 4D flow CMR method (semi-automated pipeline), with good correlation between the two methods (r = 0.70, p = 0.017). Assessment of AVPG by 4D flow CMR using the novel semi-automated pipeline method shows excellent agreement to invasive assessment when compared to doppler-based methods and advocate for its use as complementary to echocardiography.
Collapse
Affiliation(s)
| | - Paul Njoku
- Norwich Medical School, University of East Anglia, Norwich, S10 2RX UK
| | | | - Leon Ledoux
- Pie Medical Imaging, Maastricht, The Netherlands
| | | | - Jos Westenberg
- Leids Universitair Medisch Centrum, Leiden, The Netherlands
| | | | | | | | - Rod Hose
- University of Sheffield, Sheffield, UK
| | - Marcus Flather
- Norwich Medical School, University of East Anglia, Norwich, S10 2RX UK
| | | | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, S10 2RX UK
| |
Collapse
|
16
|
Guglielmo M, Rovera C, Rabbat MG, Pontone G. The Role of Cardiac Magnetic Resonance in Aortic Stenosis and Regurgitation. J Cardiovasc Dev Dis 2022; 9:108. [PMID: 35448084 PMCID: PMC9030119 DOI: 10.3390/jcdd9040108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/23/2022] [Accepted: 03/28/2022] [Indexed: 02/06/2023] Open
Abstract
Cardiac magnetic resonance (CMR) imaging is a well-set diagnostic technique for assessment of valvular heart diseases and is gaining ground in current clinical practice. It provides high-quality images without the administration of ionizing radiation and occasionally without the need of contrast agents. It offers the unique possibility of a comprehensive stand-alone assessment of the heart including biventricular function, left ventricle remodeling, myocardial fibrosis, and associated valvulopathies. CMR is the recognized reference for the quantification of ventricular volumes, mass, and function. A particular strength is the ability to quantify flow, especially with new techniques which allow accurate measurement of stenosis and regurgitation. Furthermore, tissue mapping enables the visualization and quantification of structural changes in the myocardium. In this way, CMR has the potential to yield important prognostic information predicting those patients who will progress to surgery and impact outcomes. In this review, the fundamentals of CMR in assessment of aortic valve diseases (AVD) are described, together with its strengths and weaknesses. This state-of-the-art review provides an updated overview of CMR potentials in all AVD issues, including valve anatomy, flow quantification, ventricular volumes and function, and tissue characterization.
Collapse
Affiliation(s)
- Marco Guglielmo
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.G.); (C.R.)
| | - Chiara Rovera
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.G.); (C.R.)
| | - Mark G. Rabbat
- Division of Cardiology, Loyola University of Chicago, Chicago, IL 60611, USA;
- Edward Hines Jr. VA Hospital, Hines, IL 60141, USA
| | - Gianluca Pontone
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.G.); (C.R.)
| |
Collapse
|
17
|
Samaee M, Hatoum H, Biersmith M, Yeats B, Gooden SC, Thourani VH, Hahn RT, Lilly S, Yoganathan A, Dasi LP. Gradient and pressure recovery of a self-expandable transcatheter aortic valve depends on ascending aorta size: In vitro study. JTCVS OPEN 2022; 9:28-38. [PMID: 36003461 PMCID: PMC9390729 DOI: 10.1016/j.xjon.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 01/12/2022] [Indexed: 11/25/2022]
|
18
|
de Vecchi A, Faraci A, Fernandes JF, Marlevi D, Bellsham-Revell H, Hussain T, Laji N, Ruijsink B, Wong J, Razavi R, Anderson D, Salih C, Pushparajah K, Nordsletten D, Lamata P. Unlocking the Non-invasive Assessment of Conduit and Reservoir Function in the Aorta. J Cardiovasc Transl Res 2022; 15:1075-1085. [PMID: 35199256 PMCID: PMC9622527 DOI: 10.1007/s12265-022-10221-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/14/2022] [Indexed: 11/06/2022]
Abstract
Aortic surgeries in congenital conditions, such as hypoplastic left heart syndrome (HLHS), aim to restore and maintain the conduit and reservoir functions of the aorta. We proposed a method to assess these two functions based on 4D flow MRI, and we applied it to study the aorta in pre-Fontan HLHS. Ten pre-Fontan HLHS patients and six age-matched controls were studied to derive the advective pressure difference and viscous dissipation for conduit function, and pulse wave velocity and elastic modulus for reservoir function. The reconstructed neo-aorta in HLHS subjects achieved a good conduit function at a cost of an impaired reservoir function (69.7% increase of elastic modulus). The native descending HLHS aorta displayed enhanced reservoir (elastic modulus being 18.4% smaller) but impaired conduit function (three-fold increase in peak advection). A non-invasive and comprehensive assessment of aortic conduit and reservoir functions is feasible and has potentially clinical relevance in congenital vascular conditions.
Collapse
Affiliation(s)
- Adelaide de Vecchi
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - Alessandro Faraci
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - Joao Filipe Fernandes
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - David Marlevi
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hannah Bellsham-Revell
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's & St Thomas' Hospitals, London, SE1 7EH, UK
| | - Tarique Hussain
- Pediatric Cardiology, UT Southwestern, Children's Medical Center Dallas, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Nidhin Laji
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - Bram Ruijsink
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - James Wong
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - David Anderson
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's & St Thomas' Hospitals, London, SE1 7EH, UK
| | - Caner Salih
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's & St Thomas' Hospitals, London, SE1 7EH, UK
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK
| | - David Nordsletten
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK.,Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Pablo Lamata
- School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, Lambeth Palace Road, London, SE1 7EU, UK.
| |
Collapse
|
19
|
Tsampasian V, Hothi SS, Ravindrarajah T, Swift AJ, Garg P, Vassiliou VS. Valvular Cardiomyopathy: The Value of Cardiovascular Magnetic Resonance Imaging. Cardiol Res Pract 2022; 2022:3144386. [PMID: 35242387 PMCID: PMC8888109 DOI: 10.1155/2022/3144386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 02/02/2022] [Indexed: 11/17/2022] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging has had a vast impact on the understanding of a wide range of disease processes and pathophysiological mechanisms. More recently, it has contributed significantly to the diagnosis and risk stratification of patients with valvular heart disease. With its increasing use, CMR allows for a detailed, reproducible, qualitative, and quantitative evaluation of left ventricular volumes and mass, thereby enabling assessment of the haemodynamic impact of a valvular lesion upon the myocardium. Postprocessing of the routinely acquired images with feature tracking CMR methodology can give invaluable information about myocardial deformation and strain parameters that suggest subclinical ventricular impairment that remains undetected by conventional measures such as the ejection fraction (EF). T1 mapping and late gadolinium enhancement (LGE) imaging provide deep myocardial tissue characterisation that is changing the approach towards risk stratification of patients as an increasing body of evidence suggests that the presence of fibrosis is related to adverse events and prognosis. This review summarises the current evidence regarding the utility of CMR in the left ventricular assessment of patients with aortic stenosis or mitral regurgitation and its value in diagnosis, risk stratification, and management.
Collapse
Affiliation(s)
- Vasiliki Tsampasian
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
- Norfolk and Norwich University Hospital, Norwich, UK
| | - Sandeep S. Hothi
- The Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | | | - Andrew J. Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
- Norfolk and Norwich University Hospital, Norwich, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Vassilios S. Vassiliou
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
- Norfolk and Norwich University Hospital, Norwich, UK
| |
Collapse
|
20
|
Salgado R, El Addouli H, Budde RPJ. Transcatheter Aortic Valve Implantation: The Evolving Role of the Radiologist in 2021. ROFO-FORTSCHR RONTG 2021; 193:1411-1425. [PMID: 34814198 DOI: 10.1055/a-1645-1873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Transcatheter aortic valve implantation (TAVI) has gained worldwide acceptance and implementation as an alternative therapeutic option in patients with severe aortic valve stenosis unable to safely undergo surgical aortic valve replacement. This transformative technique places the radiologist in a key position in the pre-procedural assessment of potential candidates for this technique, delivering key anatomical information necessary for patient eligibility and procedural safety. Recent trials also provide encouraging results to potentially extend the indication to patients with safer risk profiles. METHOD The review is based on a PubMed literature search using the search terms "transcatheter heart valve", "TAVI", "TAVR", "CT", "imaging", "MR" over a period from 2010-2020, combined with personal comments based on the author's experience. RESULTS AND CONCLUSION CT plays a prominent role in the pre-procedural workup, delivering as a true 3D imaging modality optimal visualization of the complex anatomy of the aortic root with simultaneous evaluation of the patency of the different access routes. As such, the contribution of CT is key for the determination of patient eligibility and procedural safety. This input is supplementary to the contributions of other imaging modalities and forms an important element in the discussions of the Heart Valve Team. Knowledge of the procedure and its characteristics is necessary in order to provide a comprehensive and complete report. While the role of CT in the pre-procedural evaluation is well established, the contribution of CT and MR and the clinical significance of their findings in the routine follow-up after the intervention are less clear and currently the subject of intense investigation. Important issues remain, including the occurrence and significance of subclinical leaflet thrombosis, prosthetic heart valve endocarditis, and long-term structural valve degeneration. KEY POINTS · CT plays a crucial role in evaluating transcatheter heart valve candidates. · Evaluation must include the dimensions of the aortic root and access paths. · The exact post-procedural role of CT and MRI has not yet been determined.. CITATION FORMAT · Salgado R, El Addouli H, Budde RP. Transcatheter Aortic Valve Implantation: The Evolving Role of the Radiologist in 2021. Fortschr Röntgenstr 2021; 193: 1411 - 1425.
Collapse
Affiliation(s)
- Rodrigo Salgado
- Radiology, UZA, Edegem, Belgium.,Radiology, Holy Heart Hospital Lier, Belgium
| | | | | |
Collapse
|
21
|
Hälvä R, Vaara SM, Peltonen JI, Kaasalainen TT, Holmström M, Lommi J, Suihko S, Rajala H, Kylmälä M, Kivistö S, Syväranta S. Peak flow measurements in patients with severe aortic stenosis: a prospective comparative study between cardiovascular magnetic resonance 2D and 4D flow and transthoracic echocardiography. J Cardiovasc Magn Reson 2021; 23:132. [PMID: 34775954 PMCID: PMC8591846 DOI: 10.1186/s12968-021-00825-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Aortic valve stenosis (AS) is the most prevalent valvular disease in the developed countries. Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) is an emerging imaging technique, which has been suggested to improve the evaluation of AS severity compared to two-dimensional (2D) flow and transthoracic echocardiography (TTE). We investigated the reliability of CMR 2D flow and 4D flow techniques in measuring aortic transvalvular peak systolic flow in patients with severe AS. METHODS We prospectively recruited 90 patients referred for aortic valve replacement due to severe AS (73.3 ± 11.3 years, aortic valve area 0.7 ± 0.1 cm2, and 54/36 tricuspid/bicuspid), and 10 non-valvular disease controls. All the patients underwent echocardiography and 2D flow and 4D flow CMR. Peak flow velocity measurements were compared using Wilcoxon signed rank sum test and Bland-Altman analysis. RESULTS 4D flow underestimated peak flow velocity in the AS group when compared with TTE (bias - 1.1 m/s, limits of agreement ± 1.4 m/s) and 2D flow (bias - 1.2 m/s, limits of agreement ± 1.6 m/s). The differences between values obtained by TTE (median 4.3 m/s, range 2.7-6.1 m/s) and 2D flow (median 4.5 m/s, range 2.9-6.5 m/s) compared to 4D flow (median 3.1 m/s, range 1.7-5.1 m/s) were significant (p < 0.001). The difference between 2D flow and TTE were insignificant (bias 0.07 m/s, limits of agreement ± 1.5 m/s). In non-valvular disease controls, peak flow velocity was measured higher by 4D flow than 2D flow (1.4 m/s, 1.1-1.7 m/s and 1.3 m/s, 1.1-1.5 m/s, respectively; bias 0.2 m/s, limits of agreement ± 0.16 m/s). CONCLUSIONS CMR 4D flow significantly underestimates systolic peak flow velocity in patients with severe AS. 2D flow, in turn, estimated the AS velocity accurately, with measured peak flow velocities comparable to TTE.
Collapse
Affiliation(s)
- Reetta Hälvä
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Satu M. Vaara
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Juha I. Peltonen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Touko T. Kaasalainen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Miia Holmström
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jyri Lommi
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Satu Suihko
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Helena Rajala
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Minna Kylmälä
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sari Kivistö
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Suvi Syväranta
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| |
Collapse
|
22
|
Guzzetti E, Racine HP, Tastet L, Shen M, Larose E, Clavel MA, Pibarot P, Beaudoin J. Accuracy of stroke volume measurement with phase-contrast cardiovascular magnetic resonance in patients with aortic stenosis. J Cardiovasc Magn Reson 2021; 23:124. [PMID: 34732204 PMCID: PMC8567621 DOI: 10.1186/s12968-021-00814-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/13/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Phase contrast (PC) cardiovascular magnetic resonance (CMR) in the ascending aorta (AAo) is widely used to calculate left ventricular (LV) stroke volume (SV). The accuracy of PC CMR may be altered by turbulent flow. Measurement of SV at another site is suggested in the presence of aortic stenosis, but very few data validates the accuracy or inaccuracy of PC in that setting. Our objective is to compare flow measurements obtained in the AAo and LV outflow tract (LVOT) in patients with aortic stenosis. METHODS Retrospective analysis of patients with aortic stenosis who had CMR and echocardiography. Patients with mitral regurgitation were excluded. PC in the AAo and LVOT were acquired to derive SV. LV SV from end-systolic and end-diastolic tracings was used as the reference measure. A difference ≥ 10% between the volumetric method and PC derived SVs was considered discordant. Metrics of turbulence and jet eccentricity were assessed to explore the predictors of discordant measurements. RESULTS We included 88 patients, 41% with bicuspid aortic valve. LVOT SV was concordant with the volumetric method in 79 (90%) patients vs 52 (59%) patients for AAo SV (p = 0.015). In multivariate analysis, aortic stenosis flow jet angle was a strong predictor of discordant measurement in the AAo (p = 0.003). Mathematical correction for the jet angle improved the concordance from 59 to 91%. Concordance was comparable in patients with bicuspid and trileaflet valves (57% and 62% concordance respectively; p = 0.11). Accuracy of SV measured in the LVOT was not influenced by jet eccentricity. For aortic regurgitation quantification, PC in the AAo had better correlation to volumetric assessments than LVOT PC. CONCLUSION LVOT PC SV in patients with aortic stenosis and eccentric jet might be more accurate compared to the AAo SV. Mathematical correction for the jet angle in the AAo might be another alternative to improve accuracy.
Collapse
Affiliation(s)
- Ezequiel Guzzetti
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Hugo-Pierre Racine
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Lionel Tastet
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Mylène Shen
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Eric Larose
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Marie-Annick Clavel
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Philippe Pibarot
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada
| | - Jonathan Beaudoin
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, 2725 Chemin Sainte-Foy, Québec, QC, G1V-4G5, Canada.
| |
Collapse
|
23
|
Doyle CM, Orr J, Greenwood JP, Plein S, Tsoumpas C, Bissell MM. Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Blood Flow in the Heart and Great Vessels: A Systematic Review. J Magn Reson Imaging 2021; 55:1301-1321. [PMID: 34416048 DOI: 10.1002/jmri.27874] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 12/28/2022] Open
Abstract
Four-dimensional (4D) flow magnetic resonance imaging (MRI) allows multidirectional quantification of blood flow in the heart and great vessels. Comparability of the technique to the current reference standards of flow assessment-two-dimensional (2D) flow MRI and Doppler echocardiography-varies in the literature. Image acquisition parameters likely impact upon the accuracy and reproducibility of 4D flow MRI. We therefore sought to review the current literature on 4D flow MRI in the heart and great vessels, in comparison to 2D flow MRI, Doppler echocardiography, and invasive catheterization. Using a predefined search strategy and inclusion and exclusion criteria, the databases EMBASE and Medline were searched in January 2021 for peer-reviewed research articles comparing cardiac 4D flow MRI to 2D flow MRI, Doppler echocardiography and/or invasive catheterization. The data from all relevant articles were assimilated and analyzed using Mann-Whitney U and chi χ2 test. Forty-four manuscripts met the eligibility criteria and were included in the review. The review showed agreement of 4D flow MRI to the reference standard methods of flow assessment, particular in the measurement of peak velocity and stroke volume in 55% of manuscripts. The use of valve tracking significantly improves agreement between 4D flow MRI and the reference modalities (79% matching with the use of valve tracking vs. 50% without, P = 0.04). This review highlights that the impact of acquisition parameters on 4D flow MRI accuracy is multifactorial. It is therefore important that each center conducts its own quality assurance prior to using 4D flow MRI for clinical decision-making. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 2.
Collapse
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
| |
Collapse
|
24
|
Xu K, Wang XD, Yang ZG, Xu HY, Xu R, Xie LJ, Wen LY, Fu H, Yan WF, Guo YK. Quantification of peak blood flow velocity at the cardiac valve and great thoracic vessels by four-dimensional flow and two-dimensional phase-contrast MRI compared with echocardiography: a systematic review and meta-analysis. Clin Radiol 2021; 76:863.e1-863.e10. [PMID: 34404516 DOI: 10.1016/j.crad.2021.07.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 07/15/2021] [Indexed: 02/08/2023]
Abstract
AIM To objectively examine the agreement and correlation between four-dimensional (4D) flow magnetic resonance imaging (MRI) and traditional two-dimensional (2D) phase-contrast (PC) MRI with the reference standard of Doppler echocardiography for measuring peak blood velocity at the cardiac valve and great arteries, and to assess if 4D flow MRI offers an advantage over the traditional 2D method. MATERIALS AND METHODS The literature was searched systematically for studies that evaluate the degree of correlation and agreement between 4D flow MRI or 2D PC MRI and Doppler retrieved from PubMed, EMBASE, and the Cochrane Library. A meta-analysis was conducted to determine the peak velocity pooled bias with 95% limits of agreement (LoA) and correlation coefficient (r) for 4D flow MRI and 2D PC MRI compared with Doppler. RESULTS Ten studies that compared 4D flow MRI with Doppler and 12 studies that compared 2D PC MRI with Doppler were included. 4D flow MRI showed an underestimation with bias and 95% LoA of -0.09 (-0.41, 0.24) m/s (p=0.079) while 2D PC MRI showed a poorer agreement with a bias and 95% LoA of -0.25 (-0.53, 0.03), p=0.596. 4D flow MRI and 2D PC MRI showed a strong correlation with R=0.80 (95% CI 0.75, 0.84; p<0.001) and R=0.83 (95% CI 0.79, 0.87; p<0.001), respectively. CONCLUSION In this meta-analysis, 4D flow MRI provides improved assessment of peak velocity when compared with traditional 2D PC MRI. 4D flow MRI can be considered an important complement or substitute to Doppler echocardiography for peak velocity assessment.
Collapse
Affiliation(s)
- K Xu
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - X D Wang
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Z G Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - H Y Xu
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - R Xu
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - L J Xie
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - L Y Wen
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - H Fu
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - W F Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Y K Guo
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
25
|
Abstract
Aortic valve stenosis has become the most common valvular heart disease on account of aging population and increasing life expectancy. Echocardiography is the primary diagnosis tool for this, but it still has many flaws. Therefore, advanced cardiovascular multimodal imaging techniques are continuously being developed in order to overcome these limitations. Cardiac magnetic resonance imaging (CMR) allows a comprehensive morphological and functional evaluation of the aortic valve and provides important data for the diagnosis and risk stratification in patients with aortic stenosis. CMR can functionally assess the aortic flow using two-dimensional and time-resolved three-dimensional velocity-encoded phase-contrast techniques. Furthermore, by late gadolinium enhancement and T1-mapping, CMR can reveal the presence of both irreversible replacement and diffuse interstitial myocardial fibrosis. Moreover, its role in guiding aortic valve replacement procedures is beginning to take shape. Recent studies have rendered the importance of active and passive biomechanics in risk stratification and prognosis prediction in patients with aortic stenosis, but more work is required is just in its infancy, but data are promising. In addition, cardiac computed tomography is particularly useful for the diagnosis of aortic valve stenosis, and in preprocedural evaluation of the aorta, while positron emission tomography can be also used to assess valvular inflammation and active calcification. The purpose of this review is to provide a comprehensive overview of current available data regarding advanced cardiovascular multimodal imaging in aortic stenosis.
Collapse
|
26
|
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.
Collapse
|
27
|
Mills MT, Grafton-Clarke C, Williams G, Gosling RC, Al Baraikan A, Kyriacou AL, Morris PD, Gunn JP, Swoboda PP, Levelt E, Tsampasian V, van der Geest RJ, Swift AJ, Greenwood JP, Plein S, Vassiliou V, Garg P. Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in patients with atrial fibrillation. Wellcome Open Res 2021; 6:73. [PMID: 34095509 PMCID: PMC8150120 DOI: 10.12688/wellcomeopenres.16655.2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance imaging (MRI) is an emerging technique used for intra-cardiac blood flow assessment. The role of 4D flow cardiovascular MRI in the assessment of trans-valvular flow in patients with atrial fibrillation (AF) has not previously been assessed. The purpose of this study was to assess the feasibility, image quality, and internal validity of 4D flow cardiovascular MRI in the quantification of trans-valvular flow in patients with AF. Methods: Patients with AF and healthy controls in sinus rhythm underwent cardiovascular MRI, including 4D flow studies. Quality assurance checks were done on the raw data and streamlines. Consistency was investigated by trans-valvular flow assessment between the mitral valve (MV) and the aortic valve (AV). Results: Eight patients with AF (88% male, mean age 62±13 years, mean heart rate (HR) 83±16 beats per minute (bpm)) were included and compared with ten healthy controls (70% male, mean age 41±20 years, mean HR 68.5±9 bpm). All scans were of either good quality with minimal blurring artefacts, or excellent quality with no artefacts. No significant bias was observed between the AV and MV stroke volumes in either healthy controls (-4.8, 95% CI -15.64 to 6.04; P=0.34) or in patients with AF (1.64, 95% CI -4.7 to 7.94; P=0.56). A significant correlation was demonstrated between MV and AV stroke volumes in both healthy controls (r=0.87, 95% CI 0.52 to 0.97; P=0.001) and in AF patients (r=0.82, 95% CI 0.26 to 0.97; P=0.01). Conclusions: In patients with AF, 4D flow cardiovascular MRI is feasible with good image quality, allowing for quantification of trans-valvular flow.
Collapse
Affiliation(s)
- Mark T Mills
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Gareth Williams
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rebecca C Gosling
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdulaziz Al Baraikan
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andreas L Kyriacou
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul D Morris
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Eylem Levelt
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | | | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Vass Vassiliou
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| |
Collapse
|
28
|
Elhawaz A, Archer GT, Zafar H, Fidock B, Barker N, Jones R, Rothman A, Hose R, Al-Mohammad A, Briffa N, Hunter S, Braidley P, Hall IR, Grech E, van der Geest RJ, Gunn JP, Swift AJ, Wild JM, Garg P. Left ventricular blood flow kinetic energy is associated with the six-minute walk test and left ventricular remodelling post valvular intervention in aortic stenosis. Quant Imaging Med Surg 2021; 11:1470-1482. [PMID: 33816183 DOI: 10.21037/qims-20-586] [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] [Indexed: 01/04/2023]
Abstract
Background Left ventricular (LV) kinetic energy (KE) assessment by four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) may offer incremental value over routine assessment in aortic stenosis (AS). The main objective of this study is to investigate the LV KE in patients with AS before and after the valve intervention. In addition, this study aimed to investigate if LV KE offers incremental value for its association to the six-minute walk test (6MWT) or LV remodelling post-intervention. Methods We recruited 18 patients with severe AS. All patients underwent transthoracic echocardiography for mean pressure gradient (mPG), CMR including 4D flow and 6MWT. Patients were invited for post-valve intervention follow-up CMR at 3 months and twelve patients returned for follow-up CMR. KE assessment of LV blood flow and the components (direct, delayed, retained and residual) were carried out for all cases. LV KE parameters were normalised to LV end-diastolic volume (LVEDV). Results For LV blood flow KE assessment, the metrics including time delay (TD) for peak E-wave from base to mid-ventricle (14±48 vs. 2.5±9.75 ms, P=0.04), direct (4.91±5.07 vs. 1.86±1.72 µJ, P=0.01) and delayed (2.46±3.13 vs. 1.38±1.15 µJ, P=0.03) components of LV blood flow demonstrated a significant change between pre- and post-valve intervention. Only LV KEiEDV (r=-0.53, P<0.01), diastolic KEiEDV (r=-0.53, P<0.01) and Ewave KEiEDV (r=-0.38, P=0.04) demonstrated association to the 6MWT. However, Pre-operative LV KEiEDV (r=0.67, P=0.02) demonstrated association to LV remodelling post valve intervention. Conclusions LV blood flow KE is associated with 6MWT and LV remodelling in patients with AS. LV KE assessment provides incremental value over routine LV function and pressure gradient (PG) assessment in AS.
Collapse
Affiliation(s)
- Alaa Elhawaz
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Gareth T Archer
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Hamza Zafar
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Benjamin Fidock
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Natasha Barker
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rachel Jones
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Alexander Rothman
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rod Hose
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdallah Al-Mohammad
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Norman Briffa
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Steven Hunter
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Peter Braidley
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ian R Hall
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ever Grech
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Rob J van der Geest
- Division of Image Processing, Leiden University Medical Centre, Leiden, The Netherlands
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - James M Wild
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| |
Collapse
|
29
|
Mills MT, Grafton-Clarke C, Williams G, Gosling RC, Al Baraikan A, Kyriacou AL, Morris PD, Gunn JP, Swoboda PP, Levelt E, Tsampasian V, van der Geest RJ, Swift AJ, Greenwood JP, Plein S, Vassiliou V, Garg P. Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in patients with atrial fibrillation. Wellcome Open Res 2021; 6:73. [PMID: 34095509 PMCID: PMC8150120 DOI: 10.12688/wellcomeopenres.16655.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2021] [Indexed: 11/12/2023] Open
Abstract
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance imaging (MRI) is an emerging technique used for intra-cardiac blood flow assessment. The role of 4D flow cardiovascular MRI in the assessment of trans-valvular flow in patients with atrial fibrillation (AF) has not previously been assessed. The purpose of this study was to assess the feasibility, image quality, and internal validity of 4D flow cardiovascular MRI in the quantification of trans-valvular flow in patients with AF. Methods: Patients with AF and healthy controls in sinus rhythm underwent cardiovascular MRI, including 4D flow studies. Quality assurance checks were done on the raw data and streamlines. Consistency was investigated by trans-valvular flow assessment between the mitral valve (MV) and the aortic valve (AV). Results: Eight patients with AF (88% male, mean age 62±13 years, mean heart rate (HR) 83±16 beats per minute (bpm)) were included and compared with ten healthy controls (70% male, mean age 41±20 years, mean HR 68.5±9 bpm). All scans were of either good quality with minimal blurring artefacts, or excellent quality with no artefacts. No significant bias was observed between the AV and MV stroke volumes in either healthy controls (-4.8, 95% CI -15.64 to 6.04; P=0.34) or in patients with AF (1.64, 95% CI -4.7 to 7.94; P=0.56). A significant correlation was demonstrated between MV and AV stroke volumes in both healthy controls (r=0.87, 95% CI 0.52 to 0.97; P=0.001) and in AF patients (r=0.82, 95% CI 0.26 to 0.97; P=0.01). Conclusions: In patients with AF, 4D flow cardiovascular MRI is feasible with good image quality, allowing for quantification of trans-valvular flow.
Collapse
Affiliation(s)
- Mark T Mills
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Gareth Williams
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rebecca C Gosling
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdulaziz Al Baraikan
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andreas L Kyriacou
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul D Morris
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Eylem Levelt
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | | | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Vass Vassiliou
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| |
Collapse
|
30
|
Guzzetti E, Annabi MS, Pibarot P, Clavel MA. Multimodality Imaging for Discordant Low-Gradient Aortic Stenosis: Assessing the Valve and the Myocardium. Front Cardiovasc Med 2020; 7:570689. [PMID: 33344514 PMCID: PMC7744378 DOI: 10.3389/fcvm.2020.570689] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/12/2020] [Indexed: 01/29/2023] Open
Abstract
Aortic stenosis (AS) is a disease of the valve and the myocardium. A correct assessment of the valve disease severity is key to define the need for aortic valve replacement (AVR), but a better understanding of the myocardial consequences of the increased afterload is paramount to optimize the timing of the intervention. Transthoracic echocardiography remains the cornerstone of AS assessment, as it is universally available, and it allows a comprehensive structural and hemodynamic evaluation of both the aortic valve and the rest of the heart. However, it may not be sufficient as a significant proportion of patients with severe AS presents with discordant grading (i.e., an AVA ≤ 1 cm2 and a mean gradient <40 mmHg) which raises uncertainty about the true severity of AS and the need for AVR. Several imaging modalities (transesophageal or stress echocardiography, computed tomography, cardiovascular magnetic resonance, positron emission tomography) exist that allow a detailed assessment of the stenotic aortic valve and the myocardial remodeling response. This review aims to provide an updated overview of these multimodality imaging techniques and seeks to highlight a practical approach to help clinical decision making in the challenging group of patients with discordant low-gradient AS.
Collapse
Affiliation(s)
- Ezequiel Guzzetti
- Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Quebec, QC, Canada
| | - Mohamed-Salah Annabi
- Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Quebec, QC, Canada
| | - Philippe Pibarot
- Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Quebec, QC, Canada
| | - Marie-Annick Clavel
- Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Quebec, QC, Canada
| |
Collapse
|