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Yin Z, Armour C, Kandail H, O'Regan DP, Bahrami T, Mirsadraee S, Pirola S, Xu XY. Fluid-structure interaction analysis of a healthy aortic valve and its surrounding haemodynamics. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2024:e3865. [PMID: 39209425 DOI: 10.1002/cnm.3865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 07/23/2024] [Accepted: 08/17/2024] [Indexed: 09/04/2024]
Abstract
The opening and closing dynamics of the aortic valve (AV) has a strong influence on haemodynamics in the aortic root, and both play a pivotal role in maintaining normal physiological functions of the valve. The aim of this study was to establish a subject-specific fluid-structure interaction (FSI) workflow capable of simulating the motion of a tricuspid healthy valve and the surrounding haemodynamics under physiologically realistic conditions. A subject-specific aortic root was reconstructed from magnetic resonance (MR) images acquired from a healthy volunteer, whilst the valve leaflets were built using a parametric model fitted to the subject-specific aortic root geometry. The material behaviour of the leaflets was described using the isotropic hyperelastic Ogden model, and subject-specific boundary conditions were derived from 4D-flow MR imaging (4D-MRI). Strongly coupled FSI simulations were performed using a finite volume-based boundary conforming method implemented in FlowVision. Our FSI model was able to simulate the opening and closing of the AV throughout the entire cardiac cycle. Comparisons of simulation results with 4D-MRI showed a good agreement in key haemodynamic parameters, with stroke volume differing by 7.5% and the maximum jet velocity differing by less than 1%. Detailed analysis of wall shear stress (WSS) on the leaflets revealed much higher WSS on the ventricular side than the aortic side and different spatial patterns amongst the three leaflets.
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Affiliation(s)
- Zhongjie Yin
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Chlöe Armour
- Department of Chemical Engineering, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Declan P O'Regan
- Laboratory of Medical Sciences, Imperial College London, London, UK
| | - Toufan Bahrami
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Cardiothoracic Surgery, Royal Brompton and Harefield Hospitals NHS Trust, London, UK
| | - Saeed Mirsadraee
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Radiology, Royal Brompton and Harefield Hospitals NHS Trust, London, UK
| | - Selene Pirola
- Department of Chemical Engineering, Imperial College London, London, UK
- Department of BioMechanical Engineering, TU Delft, Delft, The Netherlands
| | - Xiao Yun Xu
- Department of Chemical Engineering, Imperial College London, London, UK
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Nardi F, Pino PG, De Luca L, Riccio C, Cipriani M, Corda M, Francese GM, Gabrielli D, Oliva F, Gulizia MM, Colivicchi F. ANMCO position paper: 2022 focused update of appropriate use criteria for multimodality imaging: aortic valve disease. Eur Heart J Suppl 2022; 24:C289-C297. [PMID: 35602253 PMCID: PMC9117909 DOI: 10.1093/eurheartj/suac027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
This document addresses the evaluation of the Appropriate Use Criteria (AUC) of multimodality imaging in the diagnosis and management of aortic valve disease. The goal of this AUC document is to provide a comprehensive resource for multimodality imaging in the context of aortic valve disease, encompassing multiple imaging modalities. Clinical scenarios are developed in a simple way to illustrate patient presentations encountered in everyday practice.
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Affiliation(s)
- Federico Nardi
- Cardiology Department, Ospedale Santo Spirito, Via Giolitti 2, Casale Monferrato 15033, AL, Italy
| | - Paolo Giuseppe Pino
- Consultant Cardiologist of the Echo-Lab, Ospedale Santo Spirito, Casale Monferrato, AL, Italy
| | - Leonardo De Luca
- Department of Cardio-Thoraco-Vascular, Azienda Ospedaliera San Camillo Forlanini, Roma, Italy
| | - Carmine Riccio
- Cardio-Vascular Department, AORN Sant'Anna and San Sebastiano, Caserta, Italy
| | - Manlio Cipriani
- Cardiology 2-Heart Failure and Transplants, Dipartimento Cardiotoracovascolare “A. De Gasperis”, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Marco Corda
- Cardiology Department, Azienda Ospedaliera G. Brotzu, Cagliari, Italy
| | - Giuseppina Maura Francese
- Cardiology Department, Ospedale Garibaldi-Nesima—Azienda Rilievo Nazionale e Alta Specializzazione “Garibaldi”, Catania, Italy
| | - Domenico Gabrielli
- Department of Cardio-Thoraco-Vascular, Azienda Ospedaliera San Camillo Forlanini, Roma, Italy
| | - Fabrizio Oliva
- Unit of Intensive Cardiological Care, Cardiology 1-Hemodynamics, Cardiothoracovascular Department “A. De Gasperis”, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Michele Massimo Gulizia
- Cardiology Department, Ospedale Garibaldi-Nesima—Azienda Rilievo Nazionale e Alta Specializzazione “Garibaldi”, Catania, Italy
- Fondazione per il Tuo cuore—Heart Care Foundation, Firenze, Italy
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Mantini C, Khanji MY, D'Ugo E, Olivieri M, Caputi CG, Bufano G, Mastrodicasa D, Calvo Garcia D, Rotondo D, Candeloro M, Tana C, Cademartiri F, Ionescu A, Caulo M, Gallina S, Ricci F. Aliased Flow Signal Planimetry by Cardiovascular Magnetic Resonance Imaging for Grading Aortic Stenosis Severity: A Prospective Pilot Study. Front Cardiovasc Med 2021; 8:752340. [PMID: 34733896 PMCID: PMC8558301 DOI: 10.3389/fcvm.2021.752340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 09/15/2021] [Indexed: 11/17/2022] Open
Abstract
Objectives: Transthoracic echocardiography (TTE) is the standard technique for assessing aortic stenosis (AS), with effective orifice area (EOA) recommended for grading severity. EOA is operator-dependent, influenced by a number of pitfalls and requires multiple measurements introducing independent and random sources of error. We tested the diagnostic accuracy and precision of aliased orifice area planimetry (AOAcmr), a new, simple, non-invasive technique for grading of AS severity by low-VENC phase-contrast cardiovascular magnetic resonance (CMR) imaging. Methods: Twenty-two consecutive patients with mild, moderate, or severe AS and six age- and sex-matched healthy controls had TTE and CMR examinations on the same day. We performed analysis of agreement and correlation among (i) AOAcmr; (ii) geometric orifice area (GOAcmr) by direct CMR planimetry; (iii) EOAecho by TTE-continuity equation; and (iv) the "gold standard" multimodality EOA (EOAhybrid) obtained by substituting CMR LVOT area into Doppler continuity equation. Results: There was excellent pairwise positive linear correlation among AOAcmr, EOAhybrid, GOAcmr, and EOAecho (p < 0.001); AOAcmr had the highest correlation with EOAhybrid (R 2 = 0.985, p < 0.001). There was good agreement between methods, with the lowest bias (0.019) for the comparison between AOAcmr and EOAhybrid. AOAcmr yielded excellent intra- and inter-rater reliability (intraclass correlation coefficient: 0.997 and 0.998, respectively). Conclusions: Aliased orifice area planimetry by 2D phase contrast imaging is a simple, reproducible, accurate "one-stop shop" CMR method for grading AS, potentially useful when echocardiographic severity assessment is inconclusive or discordant. Larger studies are warranted to confirm and validate these promising preliminary results.
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Affiliation(s)
- Cesare Mantini
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Mohammed Y. Khanji
- Newham University Hospital, Barts Health NHS Trust, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
- National Institute for Health Research (NIHR) Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Emilia D'Ugo
- Azienda Sanitaria Locale (ASL) 2 Lanciano Vasto Chieti, Regione Abruzzo, Italy
| | - Marzia Olivieri
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | | | - Gabriella Bufano
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | | | - Darien Calvo Garcia
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Domenico Rotondo
- Azienda Sanitaria Locale (ASL) 2 Lanciano Vasto Chieti, Regione Abruzzo, Italy
| | - Matteo Candeloro
- Department of Innovative Technologies in Medicine and Dentistry, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Claudio Tana
- Azienda Sanitaria Locale (ASL) 2 Lanciano Vasto Chieti, Regione Abruzzo, Italy
| | - Filippo Cademartiri
- SDN Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Naples, Italy
| | - Adrian Ionescu
- Department of Cardiology, Morriston Cardiac Regional Centre, Swansea Bay Health Board, Swansea, United Kingdom
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Sabina Gallina
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Casa di Cura Villa Serena, Città Sant'Angelo, Pescara, Italy
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Tandon I, Quinn KP, Balachandran K. Label-Free Multiphoton Microscopy for the Detection and Monitoring of Calcific Aortic Valve Disease. Front Cardiovasc Med 2021; 8:688513. [PMID: 34179147 PMCID: PMC8226007 DOI: 10.3389/fcvm.2021.688513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Calcific aortic valve disease (CAVD) is the most common valvular heart disease. CAVD results in a considerable socio-economic burden, especially considering the aging population in Europe and North America. The only treatment standard is surgical valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. Novel diagnostic techniques and biomarkers for early detection and monitoring of CAVD progression are thus a pressing need. Additionally, non-destructive tools are required for longitudinal in vitro and in vivo assessment of CAVD initiation and progression that can be translated into clinical practice in the future. Multiphoton microscopy (MPM) facilitates label-free and non-destructive imaging to obtain quantitative, optical biomarkers that have been shown to correlate with key events during CAVD progression. MPM can also be used to obtain spatiotemporal readouts of metabolic changes that occur in the cells. While cellular metabolism has been extensively explored for various cardiovascular disorders like atherosclerosis, hypertension, and heart failure, and has shown potential in elucidating key pathophysiological processes in heart valve diseases, it has yet to gain traction in the study of CAVD. Furthermore, MPM also provides structural, functional, and metabolic readouts that have the potential to correlate with key pathophysiological events in CAVD progression. This review outlines the applicability of MPM and its derived quantitative metrics for the detection and monitoring of early CAVD progression. The review will further focus on the MPM-detectable metabolic biomarkers that correlate with key biological events during valve pathogenesis and their potential role in assessing CAVD pathophysiology.
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Affiliation(s)
- Ishita Tandon
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kyle P Quinn
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kartik Balachandran
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
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Aortic valve surgery: management and outcomes in the paediatric population. Eur J Pediatr 2021; 180:3129-3139. [PMID: 33970315 PMCID: PMC8429384 DOI: 10.1007/s00431-021-04092-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/18/2021] [Accepted: 04/25/2021] [Indexed: 11/02/2022]
Abstract
Congenital anomalies of the aortic valve frequently necessitate intervention in childhood. The most common aortic valve pathologies present in childhood are aortic stenosis and insufficiency. Presentation of aortic valve disease depends on severity and presence of concomitant syndromes and valvular disorders. Treatment options are largely categorised as medical, percutaneous repair or surgical repair and replacement. Surgical techniques have been refined over the last few years making this the mainstay of treatment in paediatric cases. Whilst repair is considered in most instances before replacement, there are substantial limitations which are reflected in the frequency of reintervention and restenosis rate. Replacements are typically undertaken with tissue or mechanical prosthesis. The current gold-standard aortic valve replacement surgery is called the Ross procedure-where replacement is undertaken with a competent pulmonic valve and a simultaneous pulmonary homograft.Conclusion: In this review, we aim to outline the various surgical options and discuss efficacy and complications of various interventions. What is Known: • Congenital aortic valve defects repair options medically and surgically What is New: • Comparisons between surgical options for aortic valve repair including efficacy, risks and long-term outcomes.
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Tzolos E, Andrews JPM, Dweck MR. Aortic valve stenosis-multimodality assessment with PET/CT and PET/MRI. Br J Radiol 2020; 93:20190688. [PMID: 31647323 PMCID: PMC7465843 DOI: 10.1259/bjr.20190688] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Aortic valve disease is the most common form of heart valve disease in developed countries and a growing healthcare burden with an ageing population. Transthoracic and transoesophageal echocardiography remains central to the diagnosis and surveillance of patients with aortic stenosis, providing gold standard assessments of valve haemodynamics and myocardial performance. However, other multimodality imaging techniques are being explored for the assessment of aortic stenosis, including combined PET/CT and PET/MR. Both approaches provide unique information with respect to disease activity in the valve alongside more conventional anatomic assessments of the valve and myocardium in this condition. This review investigates the emerging use of PET/CT and PET/MR to assess patients with aortic stenosis, examining how the complementary data provided by each modality may be used for research applications and potentially in future clinical practice.
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Affiliation(s)
- Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jack PM Andrews
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Marc R. Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
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Early Valve Replacement for Severe Aortic Valve Disease: Effect on Mortality and Clinical Ramifications. J Clin Med 2020; 9:jcm9092694. [PMID: 32825345 PMCID: PMC7563468 DOI: 10.3390/jcm9092694] [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: 07/14/2020] [Revised: 08/17/2020] [Accepted: 08/18/2020] [Indexed: 12/23/2022] Open
Abstract
Timing of aortic valve intervention for chronic aortic regurgitation (AR) and/or aortic stenosis (AS) potentially affects long-term survival. The 2014 American Heart Association/American College of Cardiology (AHA/ACC) guidelines provide recommendations for the timing of intervention. Subsequent to the guidelines' release, several studies have been published that suggest a survival benefit from earlier timing of surgery for severe AR and/or AS. The aim of this review was to determine whether patients who have chronic aortic regurgitation (AR) and/or aortic stenosis (AS) have a survival benefit from earlier timing of aortic valve surgery. Medical databases were systematically searched from January 2015 to April 2020 for randomized controlled trials (RCTs) and observational studies that examined the timing of aortic valve replacement surgery for chronic AR and/or AS. For chronic AR, four observational studies and no RCTs were identified. For chronic AS, five observational studies, one RCT and one meta-analysis were identified. One observational study examining mixed aortic valve disease (MAVD) was identified. All of these studies, for AR, AS, and MAVD, found long-term survival benefit from timing of aortic valve surgery earlier than the current guidelines. Larger prospective RCTs are required to evaluate the benefit of earlier surgical intervention.
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Tsimikas S. Potential Causality and Emerging Medical Therapies for Lipoprotein(a) and Its Associated Oxidized Phospholipids in Calcific Aortic Valve Stenosis. Circ Res 2019; 124:405-415. [PMID: 30702993 DOI: 10.1161/circresaha.118.313864] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The prevalence of calcific aortic valve disease is increasing with aging of the population. Current treatment options for advanced or symptomatic aortic stenosis are limited to traditional surgical or percutaneous aortic valve replacement. Medical therapies that impact the progression of calcific aortic valve disease do not currently exist. New pathophysiological insights suggest that the processes leading to calcific aortic valve disease are metabolically active for many years before and during the clinical expression of disease. The identification of genetic and potentially causal mediators of calcific aortic valve disease allows opportunities for therapies that may slow progression to the point where aortic valve replacement can be avoided. Recent studies suggest that approximately one-third of aortic stenosis cases are associated with highly elevated lipoprotein(a) [Lp(a)] and pathways related to the metabolism of procalcifying oxidized phospholipids. Oxidized phospholipids can be carried by Lp(a) into valve leaflets but can also be formed in situ from cell membranes, lipoproteins, and apoptotic cells. This review will summarize the clinical data implicating the potential causality of Lp(a)/oxidized phospholipids, describe emerging therapeutic agents, and propose clinical trial designs to test the hypothesis that lowering Lp(a) will reduce progression aortic stenosis and the need for aortic valve replacement.
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Affiliation(s)
- Sotirios Tsimikas
- From the Division of Cardiovascular Medicine, Sulpizio Cardiovascular Center, University of California San Diego, La Jolla
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Abstract
Aortic stenosis and diabetes mellitus are both progressive diseases which, if left untreated, result in significant morbidity and mortality. There is evidence that the prevalence of diabetes is substantially increased in patients with aortic stenosis and those with diabetes have increased rates of progression from mild to severe aortic stenosis. There are good data supporting the hypothesis that aortic stenosis and diabetes mellitus are associated with diabetes mellitus being detrimental towards the quality of life and survival of patients. Thus, a thorough understanding of the pathogenesis of both of these disease processes and the relationship between them aids in designing appropriate preventive and therapeutic approaches. This review aims to give a comprehensive and up-to-date insight into the influence of diabetes mellitus on patients with degenerative aortic stenosis, as well as the prognosis and therapeutic approach to these patients.
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Affiliation(s)
- Marko Banovic
- 1 Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- 2 Belgrade Medical School, University of Belgrade, Belgrade, Serbia
| | - Lavanya Athithan
- 3 Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- 4 The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Gerry P McCann
- 3 Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- 4 The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
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Gulsin GS, Singh A, McCann GP. Cardiovascular magnetic resonance in the evaluation of heart valve disease. BMC Med Imaging 2017; 17:67. [PMID: 29284450 PMCID: PMC5747097 DOI: 10.1186/s12880-017-0238-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 12/13/2017] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Over the last 25 years, cardiovascular magnetic resonance imaging (CMR) has emerged as an alternative to echocardiography for assessment of valvular heart disease (VHD). Although echo remains the first-line imaging modality for the assessment of patients with VHD, CMR can now provide a comprehensive assessment in many instances. Using a combination of techniques, CMR provides information on valve anatomy and enables quantitative analysis of the severity of the valve lesion. MAIN TEXT In this review, the fundamentals of CMR in assessment of VHD are described, together with its strengths and weaknesses. We detail the utility of CMR for studying all aspects of VHD, including valve anatomy, flow quantification as well as ventricular volumes and function. The optimisation of CMR for evaluating the commonest valve lesions (aortic stenosis, aortic regurgitation, mitral regurgitation, mitral stenosis) as well as in right-sided VHD and prosthetic valves is summarised. The focus of this review is to enable the reader to optimise the use of CMR in his or her own evaluation of heart valve lesions in clinical practice. CONCLUSIONS CMR can be used for the comprehensive evaluation of VHD. This exciting, non-invasive imaging modality is likely to have increasing utility in the clinical evaluation of patients with VHD.
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Affiliation(s)
- G. S. Gulsin
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
| | - A. Singh
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
| | - G. P. McCann
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
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Chang IC, Chareonthaitawee P. Aortic Valve 18F-Fluoride Positron Emission Tomography. Circ Cardiovasc Imaging 2016; 9:CIRCIMAGING.116.005574. [DOI: 10.1161/circimaging.116.005574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Ian C.Y. Chang
- From the Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
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