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Giardino F, Douschan P, Paolillo S, Basile C, Cademartiri F, Musella F, Cittadini A, Marra AM. The Non-invasive Assessment of the Pulmonary Circulation-Right Ventricular Functional Unit: Diagnostic and Prognostic Implications. Heart Fail Clin 2025; 21:63-78. [PMID: 39550081 DOI: 10.1016/j.hfc.2024.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2024]
Abstract
The pulmonary circulation and the right ventricle play a pivotal role in the global hemodynamics of human beings, so much so that their close interaction is encapsulated in the concept of a "morpho-functional unit". In this review we aim to pinpoint the strengths and weaknesses of various noninvasive established techniques. The goal is to detect early morphologic and/or functional changes in the pulmonary circulation and right ventricular unit, which is crucial for tailoring treatments and prognostic assessments. The scope of this review includes resting and stress echocardiography, cardiopulmonary exercise testing, computed tomography, and cardiac magnetic resonance in characterizing the pulmonary circulation-right ventricular unit both morphologically and functionally.
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Affiliation(s)
- Federica Giardino
- Cardiovascular Pathophysiology and Therapeutics (CardioPath) Program, University of Naples Federico II, Via S. Pansini 5, Naples 80131, Italy; Division of Internal Medicine and Metabolism and Rehabilitation, Department of Translational Medical Sciences, University of Naples Federico II, Via S. Pansini 5, Bld.18, 1st Floor, Naples 80131, Italy
| | - Philipp Douschan
- Division of Pulmonology, Medical University of Graz, Auenbruggerplatz 15, Graz A-8036, Austria; Division of Pulmonology and Ludwig Boltzmann Institute for Lung Vascular Research, Medical University of Graz, Graz, Austria; Universities of Giessen and Marburg Lung Center (UGMLC), Justus-Liebig-University, Giessen, Germany
| | - Stefania Paolillo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, Building. 2, Naples 80131, Italy
| | - Christian Basile
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, Building. 2, Naples 80131, Italy; Division of Cardiology, Department of Medicine, Karolinska Institutet, K2 Medicin, Solna, K2 Kardio Lund L Savarese G, Solnavägen 1, Solna, Stockholm 171 77, Sweden
| | - Filippo Cademartiri
- Department of Imaging, Fondazione Monasterio/CNR, Via Giuseppe Moruzzi 1, Pisa 56124, Italy
| | - Francesca Musella
- Division of Cardiology, Department of Medicine, Karolinska Institutet, K2 Medicin, Solna, K2 Kardio Lund L Savarese G, Solnavägen 1, Solna, Stockholm 171 77, Sweden; Cardiology Department, Santa Maria delle Grazie Hospital, Via Domitiana, Pozzuoli, Naples 80078, Italy
| | - Antonio Cittadini
- Division of Internal Medicine and Metabolism and Rehabilitation, Department of Translational Medical Sciences, University of Naples Federico II, Via S. Pansini 5, Bld.18, 1st Floor, Naples 80131, Italy; Department of Internal Medicine and Clinical Complexity, University of Naples Federico II, Via S. Pansini 5, Building.18, 1st Floor, Naples 80131, Italy
| | - Alberto Maria Marra
- Division of Internal Medicine and Metabolism and Rehabilitation, Department of Translational Medical Sciences, University of Naples Federico II, Via S. Pansini 5, Bld.18, 1st Floor, Naples 80131, Italy.
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2
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Ahsan SA, Laird R, Dooley C, Akbar S, Sweeney J, Ohira S, Kai M, Levine A, Gass AL, Frishman WH, Aronow WS, Lanier GM. An Update on the Diagnosis and Management of Acute Right Heart Failure. Cardiol Rev 2024; 32:499-506. [PMID: 36847512 DOI: 10.1097/crd.0000000000000538] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Right ventricular (RV) dysfunction and resultant acute right heart failure (ARHF) is a rapidly growing field of interest, driven by increasing appreciation of its contribution to heart failure morbidity and mortality. Understanding of ARHF pathophysiology has advanced dramatically over recent years and can be broadly described as RV dysfunction related to acute changes in RV afterload, contractility, preload, or left ventricular dysfunction. There are several diagnostic clinical signs and symptoms as well as imaging and hemodynamic assessments that can provide insight into the degree of RV dysfunction. Medical management is tailored to the different causative pathologies, and in cases of severe or end-stage dysfunction, mechanical circulatory support can be utilized. In this review, we describe the pathophysiology of ARHF, how its diagnosis is established by clinical signs and symptoms and imaging findings, and provide an overview of treatment options, both medical and mechanical.
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Affiliation(s)
- Syed Adeel Ahsan
- From the Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX
| | - Rachel Laird
- Department of Medicine, Houston Methodist Hospital, Houston, TX
| | - Caroline Dooley
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Baylor College of Medicine, Houston, TX
| | - Sara Akbar
- Department of pulmonary and critical care medicine, Spectrum Health/Michigan State University, Detroit, MI
| | - James Sweeney
- Division of Cardiology, Hackensack Meridian Jersey Shore University Medical Center, Neptune, NJ
| | - Suguru Ohira
- Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center, Valhalla, NY
| | - Masashi Kai
- Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center, Valhalla, NY
| | - Avi Levine
- Departments of Cardiology and Medicine Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Alan L Gass
- Departments of Cardiology and Medicine Westchester Medical Center and New York Medical College, Valhalla, NY
| | - William H Frishman
- Department of Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Wilbert S Aronow
- Departments of Cardiology and Medicine Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Gregg M Lanier
- Departments of Cardiology and Medicine Westchester Medical Center and New York Medical College, Valhalla, NY
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Sjúrðarson T, Nordsborg NB, Kristiansen J, Andersen LJ, Krustrup P, Kyhl K, Mohr M. The impact of exercise intensity and duration for swim training-induced adaptations in cardiac structure and function in women with mild hypertension. Physiol Rep 2024; 12:e70116. [PMID: 39487596 PMCID: PMC11530408 DOI: 10.14814/phy2.70116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 10/07/2024] [Accepted: 10/20/2024] [Indexed: 11/04/2024] Open
Abstract
This study aimed to investigate the impact of swim training intensity and duration on cardiac structure and function in mildly hypertensive women. Sixty-two mildly hypertensive women were randomized to 15 weeks of either (1) high-intensity swimming (HIS, n = 21), (2) moderate-intensity swimming (MOD, n = 21) or (3) control (CON, n = 20). Training sessions occurred three times per week. Cardiac measurements were conducted using echocardiography pre- and post-intervention. Both the HIS and MOD groups demonstrated significant within-group increases in left ventricular mass: 7.3% [1.2; 13.2] (p = 0.02) for HIS and 6.2% [0.5; 11.8] (p = 0.03) for MOD. The MOD group also demonstrated a significant increase in left ventricular internal dimension at end-diastole by 2.4% [0.2; 4.6] (p = 0.03). Post-hoc analysis of diastolic function markers revealed reduced mitral valve A velocity in both HIS (-14% [-25; -3], p = 0.02) and MOD (-13% [-23; -3], p = 0.01), leading to increased mitral valve E/A ratios of 27% [10; 47] (p = 0.003) and 22% [5; 40] (p = 0.01), respectively. Additionally, only MOD demonstrated increased left atrial diameter of 4.9% [0.7; 9.1] (p =0.02). A significant time×group effect (p = 0.02) existed for global longitudinal strain, which increased by 1.6% [0.2; 3.0] (p = 0.03) in MOD only. In conclusion, swim training for 15 weeks increased left ventricular mass and improved markers of diastolic function in mildly hypertensive women. These independent of exercise intensity and duration in mildly hypertensive women.
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Affiliation(s)
- Tórur Sjúrðarson
- Faculty of Health Sciences, Centre of Health ScienceUniversity of the Faroe IslandsTórshavnFaroe IslandsDenmark
| | - Nikolai B. Nordsborg
- Department of Nutrition, Exercise and SportsUniversity of CopenhagenCopenhagenDenmark
| | - Jacobina Kristiansen
- Faculty of Health Sciences, Centre of Health ScienceUniversity of the Faroe IslandsTórshavnFaroe IslandsDenmark
- Department of MedicineNational Hospital of the Faroe IslandsTorshavnFaroe IslandsDenmark
- Department of CardiologyAarhus University HospitalAarhusDenmark
| | | | - Peter Krustrup
- Department of Sports Science and Clinical Biomechanics, SDU Sport and Health Sciences Cluster (SHSC)University of Southern DenmarkOdense MDenmark
- Danish Institute for Advanced Study (DIAS)University of Southern DenmarkOdense MDenmark
| | - Kasper Kyhl
- Department of CardiologyZealand University HospitalRoskildeDenmark
- Department of CardiologyCopenhagen University Hospital RigshospitaletCopenhagenDenmark
| | - Magni Mohr
- Faculty of Health Sciences, Centre of Health ScienceUniversity of the Faroe IslandsTórshavnFaroe IslandsDenmark
- Department of Sports Science and Clinical Biomechanics, SDU Sport and Health Sciences Cluster (SHSC)University of Southern DenmarkOdense MDenmark
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Ipek R, Holland J, Cramer M, Rider O. CMR to characterize myocardial structure and function in heart failure with preserved left ventricular ejection fraction. Eur Heart J Cardiovasc Imaging 2024; 25:1491-1504. [PMID: 39205602 PMCID: PMC11522877 DOI: 10.1093/ehjci/jeae224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/21/2024] [Accepted: 07/29/2024] [Indexed: 09/04/2024] Open
Abstract
Despite remarkable progress in therapeutic drugs, morbidity, and mortality for heart failure (HF) remains high in developed countries. HF with preserved ejection fraction (HFpEF) now accounts for around half of all HF cases. It is a heterogeneous disease, with multiple aetiologies, and as such poses a significant diagnostic challenge. Cardiac magnetic resonance (CMR) has become a valuable non-invasive modality to assess cardiac morphology and function, but beyond that, the multi-parametric nature of CMR allows novel approaches to characterize haemodynamics and with magnetic resonance spectroscopy (MRS), the study of metabolism. Furthermore, exercise CMR, when combined with lung water imaging provides an in-depth understanding of the underlying pathophysiological and mechanistic processes in HFpEF. Thus, CMR provides a comprehensive phenotyping tool for HFpEF, which points towards a targeted and personalized therapy with improved diagnostics and prevention.
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Affiliation(s)
- Rojda Ipek
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), John Radcliffe Hospital, Level 0, University of Oxford, Oxford, OX3 9DU, UK
- Divison of Cardiology, Pulmonary Disease and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jennifer Holland
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), John Radcliffe Hospital, Level 0, University of Oxford, Oxford, OX3 9DU, UK
| | - Mareike Cramer
- Divison of Cardiology, Pulmonary Disease and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Cardiovascular Research Institute Düsseldorf (CARID), Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Oliver Rider
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), John Radcliffe Hospital, Level 0, University of Oxford, Oxford, OX3 9DU, UK
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Suc G, Dewavrin T, Mesnier J, Brochet E, Sallah K, Dupont A, Ou P, Para M, Arangalage D, Urena M, Iung B. Cardiac magnetic resonance imaging-derived right ventricular volume and function, and association with outcomes in isolated tricuspid regurgitation. Arch Cardiovasc Dis 2024:S1875-2136(24)00347-4. [PMID: 39489659 DOI: 10.1016/j.acvd.2024.09.006] [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: 04/09/2024] [Revised: 09/08/2024] [Accepted: 09/16/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND In patients with significant tricuspid regurgitation, cardiac magnetic resonance imaging (CMR) is the preferred method for the evaluation of right ventricular function and volumes. However validated thresholds are lacking. AIM The aim of this study was to evaluate CMR assessment of right ventricular volumes in patients with significant (moderate or severe) tricuspid regurgitation, and to define its association with outcomes. METHODS The PRONOVAL study is a retrospective multicentre study using the clinical data warehouse of Greater Paris University Hospitals (AP-HP). Patients were screened for CMR in the PMSI (Programme de médicalisation des systèmes d'information). Hospitalization reports were analysed by natural language processing to include patients with tricuspid regurgitation. Exclusion criteria were left heart valvular disease, heart transplantation and cardiac amyloidosis. Primary outcome was a combined criterion of death or tricuspid surgery. RESULTS Between September 2017 and September 2021, 151 patients with isolated tricuspid regurgitation were screened. Right ventricular function and volumes were available in 86 (57.0%) CMR reports (the complete CMR group). In the complete CMR group, tricuspid regurgitation was severe in 62 patients (72.1%). Median age was 67.0 years (interquartile range 58.0-75.8). Median right ventricular indexed end-diastolic volume was 98.0 mL/m2 (interquartile range 66.8-118.5). At 2-year follow-up, six patients (9.2%) had undergone tricuspid valve surgery, and 12 patients (18.5%) had died. Right ventricular indexed end-diastolic volume was associated with death or surgery at 2years, with an area under the receiver operating characteristic curve of 0.76 (95% confidence interval 0.75-0.77) for a threshold of 119mL/m2. CONCLUSION Right ventricular indexed end-diastolic volume >119mL/m2 was found to be an independent indicator of death or surgery in patients with significant tricuspid regurgitation.
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Affiliation(s)
- Gaspard Suc
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France.
| | - Thibault Dewavrin
- Department of Epidemiology, Biostatistics and Clinical Research, Bichat Hospital, AP-HP, 75018 Paris, France
| | - Jules Mesnier
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Eric Brochet
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Kankoe Sallah
- Department of Epidemiology, Biostatistics and Clinical Research, Bichat Hospital, AP-HP, 75018 Paris, France
| | - Axelle Dupont
- Department of Epidemiology, Biostatistics and Clinical Research, Bichat Hospital, AP-HP, 75018 Paris, France
| | - Phalla Ou
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Marylou Para
- UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France; Cardiac Surgery, Bichat Hospital, AP-HP, 75018 Paris, France
| | - Dimitri Arangalage
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Marina Urena
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Bernard Iung
- Cardiology, Bichat Hospital, AP-HP, 75018 Paris, France; UMRS 1148, Inserm, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
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Koizumi S, Keiichi I, Sakai T, Kubota Y, Yokota H, Takaoka H, Kohno H, Matsumiya G. Cardiac Magnetic Resonance Feature Tracking Analysis for Change in Right Ventricular Function After Cardioplegic Arrest. Heart Lung Circ 2024; 33:1457-1464. [PMID: 38964943 DOI: 10.1016/j.hlc.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 03/09/2024] [Accepted: 05/19/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Using echocardiography to assess right ventricular (RV) function after cardioplegic arrest is challenging. Cardiac magnetic resonance (CMR) imaging is a superior alternative, with the feature tracking technique enabling quantitative assessment of myocardial deformation. METHODS This single-centre, prospective study from 2020 to 2022 assessed RV function in 42 patients who underwent open heart surgery with cardioplegic arrest. CMR data were collected preoperatively, one week postoperatively, and at follow-up (6-12 months after surgery), and assessed using the CMR feature tracking technique. RESULTS Postoperatively, there was no significant change in RV end-diastolic volume, but RV end-systolic volume significantly decreased, leading to a notable increase in RV ejection fraction. By follow-up, both RV end-diastolic and end-systolic volumes had significantly reduced compared with the preoperative values. Right ventricular longitudinal contractility decreased after surgery but recovered to the preoperative values by follow-up, while RV circumferential contractility improved postoperatively and remained superior to the preoperative levels at follow-up. CONCLUSION On CMR imaging, significant changes in RV systolic motion were observed after cardioplegic arrest, with decreased longitudinal but increased circumferential contractility. At follow up, these changes had reverted to the preoperative patterns by the mid-term (6-12 months).
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Affiliation(s)
- Shintaroh Koizumi
- Department of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan; Department of Cardiovascular Surgery, Eastern Chiba Medical Center, Togane, Chiba, Japan.
| | - Ishida Keiichi
- Department of Cardiovascular Surgery, Eastern Chiba Medical Center, Togane, Chiba, Japan; Department of Cardiovascular Surgery, Chibaken Saiseikai Narashino Hospital, Narashino, Chiba, Japan
| | - Takayuki Sakai
- Department of Radiology, Eastern Chiba Medical Center, Togane, Chiba, Japan
| | - Yoshihiro Kubota
- Department of Diagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan
| | - Hajime Yokota
- Department of Diagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan
| | - Hiroyuki Takaoka
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan
| | - Hiroki Kohno
- Department of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan
| | - Goro Matsumiya
- Department of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan
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Eckstein J, Körperich H, Weber OM, Burchert W, Pugachov V, Demydiuk O, Piran M. Assessment of CMR Feature-Tracking Age- and Sex-Dependent Right Ventricular Strain in a Healthy Caucasian Cohort. J Cardiovasc Transl Res 2024:10.1007/s12265-024-10557-z. [PMID: 39292408 DOI: 10.1007/s12265-024-10557-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 08/26/2024] [Indexed: 09/19/2024]
Abstract
Right ventricular (RV) strain offers crucial diagnostic insights in cardiovascular and pulmonary disorders. Nonetheless, the absence of established reference values impedes its clinical implementation. Utilizing CMR-feature tracking, age- and gender-dependent RV strains were systematically assessed in 175 heart-healthy Caucasians, 97 females, median 32.5 years. RV global longitudinal strain (GLS) was greater in females than males (median -26.8% (-28.3;-24.1) vs. -24.4 ± 3.0%; p < 0.001), whereby radial and circumferential strain remained comparable. Age subgroups exhibited increased RV-GLS for group B (30-50 years) (-26.0 ± 3.1% vs. -24.4 ± 3.2%; p = 0.011) and group C (> 50 years) (-26.7 ± 2.3% vs. -24.4 ± 3.2%; p < 0.001) compared to group A (< 30 years). High intra-class correlation coefficients (ICC) were exhibited by intrarater variability (ICC = 0.86-0.95) and moderate levels for interrater variability (ICC = 0.50-0.73). CMR-feature tracking provides a fair quantification method of age- and gender-specific normal RV strain values, demonstrating that higher RV-GLS is linked to female gender and advancing age within a healthy Caucasian cohort.
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Affiliation(s)
- Jan Eckstein
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany
| | - Hermann Körperich
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany.
| | | | - Wolfgang Burchert
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany
| | - Volodymyr Pugachov
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany
| | - Oleksandra Demydiuk
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany
| | - Misagh Piran
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Universitätsklinikum der Ruhr-Universität Bochum und Universität Bielefeld Medizinische Fakultät OWL, Bad Oeynhausen, Germany
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Li Q, Huang F, Lin W, Cheng Y, Dai Y, Lin W, Lin Z, Zhu P. Impact of 12-Month Late-in-Life Exercise Training on Cardiopulmonary Reserve, Static Cardiac Structure, and Function: A Randomized Clinical Trial. J Am Med Dir Assoc 2024; 25:105117. [PMID: 38945172 DOI: 10.1016/j.jamda.2024.105117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/23/2024] [Accepted: 05/23/2024] [Indexed: 07/02/2024]
Abstract
OBJECTIVE Although the cardiac benefits of maintaining a lifelong exercise routine are undisputed, to what extent late-in-life exercise training can ameliorate cardiac aging remains unclear. We examined the impact of a 12-month exercise training program on cardiac reserve, static cardiac structure, and cardiac function in older adults. DESIGN This study was a single-center, randomized trial using Zelen design. Participants in the center-based exercise (CBE) group underwent an individualized multicomponent exercise training program. SETTING AND PARTICIPANTS In total, 120 community-dwelling older adults aged 65-85 years were evenly divided into a CBE group and a control group. METHODS The primary outcome indicator was absolute change in peak oxygen uptake (peakVO2) per kilogram from baseline to 12 months. The secondary outcome indicators were the absolute changes in other cardiopulmonary exercise test indices and cardiac magnetic resonance parameters. This study has been registered at the Chinese Clinical Trial Registry Network (ChiCTR2400081824). RESULTS In total, 47 older adults in the control group and 49 in the CBE group ultimately completed the 12-month follow-up and were analyzed. Of all participants, 52 (46.4%) were men, and the mean age was 71.22 ± 4.55 years. The absolute change in peakVO2/kg was significantly different between the CBE and control groups by +3.32 mL/kg/min (95% CI 2.10-4.53; P < .001), and a sex-related difference was observed. Additionally, the right ventricular peak filling and ejection rate improved to a greater degree in the CBE than control group (+65.57 mL/s, P = .006; +56.39 mL/s, P = .026, respectively). CONCLUSIONS AND IMPLICATIONS A 12-month exercise training program started later in life was effective in improving cardiopulmonary reserve, and men showed a better response to training than women. The right ventricular function increased after late-in-life exercise training.
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Affiliation(s)
- Qiaowei Li
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, P.R. China; Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, P.R. China; Fujian Key Laboratory of Geriatrics, Fuzhou, P.R. China; Fujian Provincial Center for Geriatrics, Fuzhou, P.R. China
| | - Feng Huang
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, P.R. China; Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, P.R. China; Fujian Key Laboratory of Geriatrics, Fuzhou, P.R. China; Fujian Provincial Center for Geriatrics, Fuzhou, P.R. China
| | - Wei Lin
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, P.R. China
| | - Yanling Cheng
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China
| | - Yalan Dai
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China
| | - Wenwen Lin
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, P.R. China; Fujian Key Laboratory of Geriatrics, Fuzhou, P.R. China
| | - Zhonghua Lin
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Department of Rehabilitation Medicine, Fujian Provincial Hospital, Fuzhou, P.R. China.
| | - Pengli Zhu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, P.R. China; Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, P.R. China; Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, P.R. China; Fujian Key Laboratory of Geriatrics, Fuzhou, P.R. China; Fujian Provincial Center for Geriatrics, Fuzhou, P.R. China.
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9
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Malik M, Malik S, Karur GR, Mafeld S, de Perrot M, McInnis MC. Cardiothoracic Imaging for Outcome Prediction in Chronic Thromboembolic Pulmonary Hypertension after Pulmonary Endarterectomy or Balloon Pulmonary Angioplasty: A Scoping Review. J Clin Med 2024; 13:5045. [PMID: 39274257 PMCID: PMC11395896 DOI: 10.3390/jcm13175045] [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: 07/24/2024] [Revised: 08/16/2024] [Accepted: 08/19/2024] [Indexed: 09/16/2024] Open
Abstract
There has been a rapid expansion in centers performing balloon pulmonary angioplasty (BPA) and pulmonary thromboendarterectomy (PTE) for chronic thromboembolic pulmonary hypertension (CTEPH). The purpose of this scoping review was to identify cardiothoracic imaging predictors of outcomes and to identify gaps to address in future work. A scoping review was conducted using the framework outlined by Arksey and O'Malley and Levac et al. in MEDLINE and EMBASE. The study protocol was preregistered in OSF Registries and performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) guidelines. There were 1117 identified studies, including 48 involving pulmonary thromboendarterectomy (n = 25) and balloon pulmonary angioplasty (n = 23). CT was the most common preoperative imaging modality used (n = 21) and CT level of disease was the most reported imaging predictor of outcomes for pulmonary thromboendarterectomy. Although must studies evaluated hemodynamic improvements, imaging was of additional use in predicting clinically significant procedural complications after balloon pulmonary angioplasty, as well as mortality and long-term outcome after pulmonary endarterectomy. Predictors reported in MRI and digital subtraction angiography were less commonly reported and warrant multicenter validation. Cardiothoracic imaging may predict clinically significant outcomes after balloon pulmonary angioplasty and pulmonary thromboendarterectomy. Radiologists involved in the assessment of CTEPH patients should be aware of key predictors and future investigations could focus on multicenter validation and new technologies.
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Affiliation(s)
- Mikail Malik
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Shamir Malik
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Gauri R Karur
- University Medical Imaging Toronto, Toronto General Hospital, Toronto, ON M5G 2C4, Canada
- Division of Cardiothoracic Imaging, Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada
| | - Sebastian Mafeld
- University Medical Imaging Toronto, Toronto General Hospital, Toronto, ON M5G 2C4, Canada
- Division of Interventional Radiology, Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada
| | - Marc de Perrot
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, Toronto, ON M5G 2C4, Canada
| | - Micheal C McInnis
- University Medical Imaging Toronto, Toronto General Hospital, Toronto, ON M5G 2C4, Canada
- Division of Cardiothoracic Imaging, Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada
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10
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Pednekar A, Kocaoglu M, Wang H, Tanimoto A, Tkach JA, Lang S, Taylor MD. Accelerated Cine Cardiac MRI Using Deep Learning-Based Reconstruction: A Systematic Evaluation. J Magn Reson Imaging 2024; 60:640-650. [PMID: 37855257 DOI: 10.1002/jmri.29081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND Breath-holding (BH) for cine balanced steady state free precession (bSSFP) imaging is challenging for patients with impaired BH capacity. Deep learning-based reconstruction (DLR) of undersampled k-space promises to shorten BHs while preserving image quality and accuracy of ventricular assessment. PURPOSE To perform a systematic evaluation of DLR of cine bSSFP images from undersampled k-space over a range of acceleration factors. STUDY TYPE Retrospective. SUBJECTS Fifteen pectus excavatum patients (mean age 16.8 ± 5.4 years, 20% female) with normal cardiac anatomy and function and 12-second BH capability. FIELD STRENGTH/SEQUENCE 1.5-T, cine bSSFP. ASSESSMENT Retrospective DLR was conducted by applying compressed sensitivity encoding (C-SENSE) acceleration to systematically undersample fully sampled k-space cine bSSFP acquisition data over an acceleration/undersampling factor (R) considering a range of 2 to 8. Quality imperceptibility (QI) measures, including structural similarity index measure, were calculated using images reconstructed from fully sampled k-space as a reference. Image quality, including contrast and edge definition, was evaluated for diagnostic adequacy by three readers with varying levels of experience in cardiac MRI (>4 years, >18 years, and 1 year). Automated DL-based biventricular segmentation was performed commercially available software by cardiac radiologists with more than 4 years of experience. STATISTICAL TESTS Tukey box plots, linear mixed effects model, analysis of variance (ANOVA), weighted kappa, Kruskal-Wallis test, and Wilcoxon signed-rank test were employed as appropriate. A P-value <0.05 was considered statistically significant. RESULTS There was a significant decrease in the QI values and edge definition scores as R increased. Diagnostically adequate image quality was observed up to R = 5. The effect of R on all biventricular volumetric indices was non-significant (P = 0.447). DATA CONCLUSION The biventricular volumetric indices obtained from the reconstruction of fully sampled cine bSSFP acquisitions and DLR of the same k-space data undersampled by C-SENSE up to R = 5 may be comparable. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Amol Pednekar
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Murat Kocaoglu
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Hui Wang
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- MR Clinical Science, Philips Healthcare, Cincinnati, Ohio, USA
| | - Aki Tanimoto
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jean A Tkach
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Sean Lang
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Michael D Taylor
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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11
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McCracken C, Szabo L, Abdulelah ZA, Condurache DG, Vago H, Nichols TE, Petersen SE, Neubauer S, Raisi-Estabragh Z. Ventricular volume asymmetry as a novel imaging biomarker for disease discrimination and outcome prediction. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae059. [PMID: 39119202 PMCID: PMC11306927 DOI: 10.1093/ehjopen/oeae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/15/2024] [Accepted: 07/10/2024] [Indexed: 08/10/2024]
Abstract
Aims Disruption of the predictable symmetry of the healthy heart may be an indicator of cardiovascular risk. This study defines the population distribution of ventricular asymmetry and its relationships across a range of prevalent and incident cardiorespiratory diseases. Methods and results The analysis includes 44 796 UK Biobank participants (average age 64.1 ± 7.7 years; 51.9% women). Cardiovascular magnetic resonance (CMR) metrics were derived using previously validated automated pipelines. Ventricular asymmetry was expressed as the ratio of left and right ventricular (LV and RV) end-diastolic volumes. Clinical outcomes were defined through linked health records. Incident events were those occurring for the first time after imaging, longitudinally tracked over an average follow-up time of 4.75 ± 1.52 years. The normal range for ventricular symmetry was defined in a healthy subset. Participants with values outside the 5th-95th percentiles of the healthy distribution were classed as either LV dominant (LV/RV > 112%) or RV dominant (LV/RV < 80%) asymmetry. Associations of LV and RV dominant asymmetry with vascular risk factors, CMR features, and prevalent and incident cardiovascular diseases (CVDs) were examined using regression models, adjusting for vascular risk factors, prevalent diseases, and conventional CMR measures. Left ventricular dominance was linked to an array of pre-existing vascular risk factors and CVDs, and a two-fold increased risk of incident heart failure, non-ischaemic cardiomyopathies, and left-sided valvular disorders. Right ventricular dominance was associated with an elevated risk of all-cause mortality. Conclusion Ventricular asymmetry has clinical utility for cardiovascular risk assessment, providing information that is incremental to traditional risk factors and conventional CMR metrics.
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Affiliation(s)
- Celeste McCracken
- Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Liliana Szabo
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Heart and Vascular Center, Semmelweis University, Budapest 1122, Hungary
| | - Zaid A Abdulelah
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Dorina-Gabriela Condurache
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Hajnalka Vago
- Heart and Vascular Center, Semmelweis University, Budapest 1122, Hungary
- Department of Sports Medicine, Semmelweis University, Budapest 1085, Hungary
| | - Thomas E Nichols
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford OX3 9DA, UK
- Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
| | - Steffen E Petersen
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Health Data Research UK, London NW1 2BE, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Zahra Raisi-Estabragh
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
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12
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Banjade P, Subedi A, Acharya S, Itani A, Sharma M, Kassam N, Ghamande S, Surani S. The Role of Cardiac MRI in Pulmonary Hypertension- Is it Still an Underutilized Tool. Open Respir Med J 2024; 18:e18743064288565. [PMID: 39136034 PMCID: PMC11318157 DOI: 10.2174/0118743064288565240515115239] [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: 12/10/2023] [Revised: 03/22/2024] [Accepted: 03/29/2024] [Indexed: 08/15/2024] Open
Abstract
Pulmonary hypertension (PH) is an intricate medical issue resulting from increased pressure in the pulmonary artery (PA). The current gold standard for diagnosis involves an invasive procedure known as right heart catheterization. Nevertheless, cardiac magnetic resonance imaging (cMRI) offers a non-invasive and valuable alternative for evaluating the function, structure, and blood flow through the pulmonary artery (PA) in both the left ventricle (LV) and right ventricle (RV). Additionally, cMRI can be a good tool for predicting mortality by assessing various hemodynamic parameters. We perceive that cMRI may be an underutilized tool in the evaluation of PH. More discussions might be needed to highlight its utility in patients with PH. This article aims to discuss the potential role of cMRI in evaluating PH based on the review of recent literature.
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Affiliation(s)
- Prakash Banjade
- Department of Medicine, Manipal College of Medical Sciences, Pokhara, 33700, Nepal
| | - Ashish Subedi
- Department of Medicine, Gandaki Medical College, Pokhara, 33700, Nepal
| | - Sampada Acharya
- Department of Medicine, Chitwan Medical College, Bharatpur, 44200, Nepal
| | - Asmita Itani
- Department of Medicine, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, 44600, Nepal
| | - Munish Sharma
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor Scott and White, Texas, USA
| | - Nadeem Kassam
- Department of Medicine, Aga Khan University, Nairobi, 30270, Kenya
| | - Shekhar Ghamande
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor Scott and White, Texas, USA
| | - Salim Surani
- Division of Pulmonary, Critical Care and Sleep Medicine, Adjunct Clinical Professor, Texas A & M University, Texas, USA
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13
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Cheong D, Alloah Q, Fishbein JS, Rajagopal HG. Comparison and Agreement between Cardiovascular Computed Tomography-Derived Mid-Diastolic and End-Diastolic Ventricular Volume in Patients with Congenital Heart Disease. Pediatr Cardiol 2024:10.1007/s00246-024-03504-x. [PMID: 38689021 DOI: 10.1007/s00246-024-03504-x] [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: 02/13/2024] [Accepted: 04/19/2024] [Indexed: 05/02/2024]
Abstract
Prospective electrocardiogram (ECG)-triggered cardiovascular computed tomography (CCT) is primarily utilized for anatomical information in congenital heart disease (CHD) and has not been utilized for calculation of the end-diastolic volume (EDV); however, the mid-diastolic volume (MDV) may be measured. The objective of this study was to evaluate the feasibility and agreement between ventricular EDV and MDV. 31 retrospectively ECG-gated CCT were analyzed for the study of the 450 consecutive CCT. CCT images were processed using syngo.via with automatic contouring followed by manual adjustment of the endocardial borders of the left ventricles (LV) and right ventricles (RV) at end-diastolic and mid-diastolic phase (measured at 70% of cardiac cycle). The correlation and agreements between EDV and MDV were demonstrated using Spearman rank coefficient and intraclass correlation coefficient (ICC), respectively. Mean age ± SD was 28.8 ± 12.5 years, 19 were male (61.3%) and tetralogy of Fallot (TOF) was the most common diagnosis (58.1%), 35% (11/31) patients with a pacemaker, ICD or other such contraindication for a CMRI, 23% (7/31) with claustrophobia, and 6.5% (2/31) with developmental delay with refusal for sedation did not have a previous CMRI. The mean ± SD indexed LV EDV and LV MDV were 91.1 ± 24.5 and 84.8 ± 22.3 ml/m2, respectively. The mean ± SD indexed RV EDV and RV MDV were 136.8 ± 41 and 130.2 ± 41.5 ml/m2, respectively. EDV and MDV had a strong positive correlation and good agreement (ICC 0.92 for LV and 0.95 for RV). This agreement was preserved in a subset of patients (21) with dilated RV (indexed RV EDV z-score > 2). Intra-observer reliability (0.97 and 0.98 for LV and RV MDV, respectively) and inter-observer reliability (0.96 and 0.90 for LV and RV MDV, respectively) were excellent. In a select group of patients with CHD, measuring MDV by CCT is feasible and these values have good agreements with EDV. This may be used to derive functional data from prospectively ECG-triggered CCT studies. Further large-scale analysis is needed to determine accuracy and clinical correlation.
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Affiliation(s)
- Daniel Cheong
- Pediatric Cardiology, Cohen Children's Medical Center, Northwell Health, 2000 Marcus Ave, Suite 300, New Hyde Park, NY, 11042-1069, USA.
| | - Qais Alloah
- Pediatric Cardiology, Cohen Children's Medical Center, Northwell Health, 2000 Marcus Ave, Suite 300, New Hyde Park, NY, 11042-1069, USA
| | - Joanna S Fishbein
- Biostatistics Unit, Office of Academic Affairs, Northwell Health, New Hyde Park, USA
| | - Hari G Rajagopal
- Pediatric Cardiology, Cohen Children's Medical Center, Northwell Health, 2000 Marcus Ave, Suite 300, New Hyde Park, NY, 11042-1069, USA
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14
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Lachant DJ, Lachant MD, Haight D, White RJ. Cardiac effort and 6-min walk distance correlate with stroke volume measured by cardiac magnetic resonance imaging. Pulm Circ 2024; 14:e12355. [PMID: 38572082 PMCID: PMC10985409 DOI: 10.1002/pul2.12355] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/18/2024] [Accepted: 03/05/2024] [Indexed: 04/05/2024] Open
Abstract
Right ventricular (RV) dysfunction in pulmonary arterial hypertension (PAH) is associated with poor outcomes. Cardiac magnetic resonance imaging (cMRI) is the gold standard for volumetric assessment, and few reports have correlated 6-min walk distance (6MWD) and cMRI parameters in PAH. Cardiac Effort, (the number of heart beats used during 6-min walk test)/(6MWD), incorporates physiologic changes into walk distance and has been associated with stroke volume (SV) measured by nuclear imaging and indirect Fick. Here, we aimed to interrogate the relationship of Cardiac Effort and 6MWD with SV measured by the gold standard, cMRI. This was a single-center, observational, prospective study in Group 1 PAH patients. Subjects completed 6-min walk with heart rate monitoring (Cardiac Effort) and cMRI within 24 h. cMRI was correlated to Cardiac Effort and 6MWD using Spearman Correlation Coefficient. Twenty-five participants with a wide range of RV function completed both cMRI and Cardiac Effort. There was a strong correlation between left ventricle SV index and both Cardiac Effort (r = -0.70, p = 0.0001) and 6MWD (r = 0.67, p = 0.0002). Cardiac Effort and 6MWD were statistically separated in patients at prognostically significant thresholds of left ventricle SV index (>31 ml/m2), RV Ejection Fraction (>35%), and SV/End Systolic Volume ( > 0.53). Cardiac Effort and 6MWD are noninvasive ways to gain insight into those with impaired SV. 6MWD may correlate better with SV than previously thought and heart rate monitoring provides physiologic context to the walk distance obtained.
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Affiliation(s)
- Daniel J. Lachant
- Department of Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Rochester Medical CenterRocesterNYUSA
| | - Michael D. Lachant
- Department of Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Rochester Medical CenterRocesterNYUSA
| | - Deborah Haight
- Department of Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Rochester Medical CenterRocesterNYUSA
| | - R. James White
- Department of Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Rochester Medical CenterRocesterNYUSA
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15
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Xu Z, Li W, Wang J, Wang F, Sun B, Xiang S, Luo X, Meng Y, Wang X, Wang X, Song J, Zhang M, Xu D, Zhou X, Ju Z, Sun J, Han Y, Chen Y. Reference Ranges of Ventricular Morphology and Function in Healthy Chinese Adults: A Multicenter 3 T MRI Study. J Magn Reson Imaging 2024; 59:812-822. [PMID: 37530736 DOI: 10.1002/jmri.28903] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI) reference ranges for ventricular morphology and function in the Chinese population are lacking. PURPOSE To establish the MRI reference ranges of left and right ventricular (LV and RV) morphology and function based on a large multicenter cohort. STUDY TYPE Prospective. POPULATION One thousand and twelve healthy Chinese Han adults. FIELD STRENGTH/SEQUENCE Balanced steady-state free procession cine sequence at 3.0 T. ASSESSMENT Biventricular end-diastolic, end-systolic, stroke volume, and ejection fraction (EDV, ESV, SV, and EF), LV mass (LVM), end-diastolic and end-systolic dimension (LVEDD and LVESD), anteroseptal wall thickness (AS), and posterolateral wall thickness (PL) were measured. Body surface area (BSA) and height were used to index biventricular parameters. Parameters were compared between age groups and sex. STATISTICAL TESTS Independent-samples t-tests or Mann-Whitney U test to compare mean values between sexes; ANOVA or Kruskal-Wallis test to compare mean values among age groups; linear regression to assess the relationships between cardiac parameters and age (correlation coefficient, r). A P value <0.05 was considered statistically significant. RESULTS The biventricular volumes, LVM, LVEDD, RVEDV/LVEDV ratio, LVESD, AS, and PL were significantly greater in males than in females, even after indexing to BSA or height, while LVEF and RVEF were significantly lower in males than in females. For both sexes, age was significantly negatively correlated with biventricular volumes (male and female: LVEDV [r = -0.491; r = -0.373], LVESV [r = -0.194; r = -0.184], RVEDV [r = -0.639; r = -0.506], RVESV [r = -0.270; r = -0.223]), with similar correlations after BSA normalization. LVEF (r = 0.043) and RVEF (r = 0.033) showed a significant correlation with age in females, but not in males (P = 0.889; P = 0.282). DATA CONCLUSION MRI reference ranges for biventricular morphology and function in Chinese adults are presented and show significant associations with age and sex. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ziqian Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Weihao Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaqi Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Wang
- Department of Radiology, Anqing Municipal Hospital, Anqing, China
| | - Bin Sun
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shifeng Xiang
- Department of Radiology, Handan Central Hospital, Handan, China
| | - Xiao Luo
- Department of Radiology, Maanshan People's Hospital, Maanshan, China
| | - Yanfeng Meng
- Department of Radiology, Taiyuan Central Hospital, Taiyuan, China
| | - Xiang Wang
- Department of Radiology, Wuhan Central Hospital, Wuhan, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Jinan, China
| | - Jianxun Song
- Department of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China
| | - Min Zhang
- Department of Radiology, Beijing Hospital, Beijing, China
| | - Dinghu Xu
- Department of Radiology, Nanjing Jiangning Hospital, Nanjing, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Zhiguo Ju
- College of Medical Imaging, Shanghai University of Medicine & Health Science, Shanghai, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuchi Han
- Cardiovascular Division, The Ohio State Wexner Medical Center, Columbus, Ohio, USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
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16
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Meloni A, Pistoia L, Ricchi P, Maggio A, Cecinati V, Longo F, Sorrentino F, Borsellino Z, Salvo A, Rossi V, Grassedonio E, Restaino G, Renne S, Righi R, Positano V, Cademartiri F. Prognostic Role of Multiparametric Cardiac Magnetic Resonance in Neo Transfusion-Dependent Thalassemia. J Clin Med 2024; 13:1281. [PMID: 38592121 PMCID: PMC10931742 DOI: 10.3390/jcm13051281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND We prospectively evaluated the predictive value of multiparametric cardiac magnetic resonance (CMR) for cardiovascular complications in non-transfusion-dependent β-thalassemia (β-NTDT) patients who started regular transfusions in late childhood/adulthood (neo β-TDT). METHODS We considered 180 patients (38.25 ± 11.24 years; 106 females). CMR was used to quantify cardiac iron overload, biventricular function, and atrial dimensions, and to detect left ventricular (LV) replacement fibrosis. RESULTS During a mean follow-up of 76.87 ± 41.60 months, 18 (10.0%) cardiovascular events were recorded: 2 heart failures, 13 arrhythmias (10 supraventricular), and 3 cases of pulmonary hypertension. Right ventricular (RV) end-diastolic volume index (EDVI), RV mass index (MI), LV replacement fibrosis, and right atrial (RA) area index emerged as significant univariate prognosticators of cardiovascular complications. The low number of events prevented us from performing a multivariable analysis including all univariable predictors simultaneously. Firstly, a multivariable analysis including the two RV size parameters (mass and volume) was carried out, and only the RV MI was proven to independently predict cardiovascular diseases. Then, a multivariable analysis, including RV MI, RA atrial area, and LV replacement fibrosis, was conducted. In this model, RV MI and LV replacement fibrosis emerged as independent predictors of cardiovascular outcomes (RV MI: hazard ratio (HR) = 1.18; LV replacement fibrosis: HR = 6.26). CONCLUSIONS Our results highlight the importance of CMR in cardiovascular risk stratification.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy;
| | - Aurelio Maggio
- Ematologia II con Talassemia, Ospedale “V. Cervello”, 90100 Palermo, Italy;
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale “SS. Annunziata”, 74123 Taranto, Italy;
| | - Filomena Longo
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Cona, FE, Italy;
| | - Francesco Sorrentino
- Unità Operativa Semplice Dipartimentale Day Hospital Talassemici, Ospedale “Sant’Eugenio”, 00143 Rome, Italy;
| | - Zelia Borsellino
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90134 Palermo, Italy;
| | - Alessandra Salvo
- Operativa Semplice Talassemia, Presidio Ospedaliero “Umberto I”, 96100 Siracusa, Italy;
| | - Vincenza Rossi
- Unità Operativa Complessa Ematologia, Ospedale di Cosenza, 87100 Cosenza, Italy;
| | - Emanuele Grassedonio
- Sezione di Scienze Radiologiche, Dipartimento di Biopatologia e Biotecnologie Mediche, Policlinico “Paolo Giaccone”, 90127 Palermo, Italy;
| | - Gennaro Restaino
- Unità Operativa Complessa Radiodiagnostica, Gemelli Molise SpA, Fondazione di Ricerca e Cura “Giovanni Paolo II”, 86100 Campobasso, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Lamezia Terme, CZ, Italy;
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, 44023 Lagosanto, FE, Italy;
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
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17
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Han Y, Ahmed AI, Saad JM, Alahdab F, Al Rifai MS, Murthy VL, Al-Mallah MH. Ejection fraction and ventricular volumes on rubidium positron emission tomography: Validation against cardiovascular magnetic resonance. J Nucl Cardiol 2024; 32:101810. [PMID: 38286326 DOI: 10.1016/j.nuclcard.2024.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/09/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) is the non-invasive gold standard for non-invasively determining left ventricular volumes (LVVs) and ejection fraction (EF). We aimed to assess the accuracy of LVV and left ventricular ejection fraction measured by positron emission tomography (PET) as compared to CMR. METHODS Patients who underwent both PET and CMR within 1 year were identified from prospective institutional registries. Analysis was performed to evaluate the agreement between the raw and body-surface-area-normalized left ventricular volume (LVV) and EF derived from PET vs. those derived from CMR. RESULTS The study population consisted of 669 patients (mean age 62 ± 13 years, 65% male). The median (interquartile range [IQR]) duration between CMR and PET imaging was 36 (7-118) days. The median (IQR) EF values were 52% (38-63%) on CMR and 53% (37-65%) on PET (mean difference: 0.53% ± 9.1, P = 0.129) with a strong correlation (Spearman rho = 0.84, P < 0.001; Intraclass Correlation Coefficient 0.84, 95% confidence interval [CI]: 0.82-0.86, P < 0.001; Lin's concordance correlation coefficient was 0.844, 95% CI: 0.822 to 0.865). Results were similar with LVV, normalized LVV/EF, and in subgroups of patients with reduced EF, coronary artery disease scar, and LV hypertrophy as well as in patients with defibrillators. However, PET tended to underestimate LVV compared to CMR. CONCLUSION Our analysis showed a strong correlation of EF and LVV by PET against a reference standard of CMR, whereas PET significantly underestimated LVV, but not EF, compared to CMR.
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Affiliation(s)
- Yushui Han
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | | | - Jean Michel Saad
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Fares Alahdab
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | | | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
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18
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Kim D, Collins JD, White JA, Hanneman K, Lee DC, Patel AR, Hu P, Litt H, Weinsaft JW, Davids R, Mukai K, Ng MY, Luetkens JA, Roguin A, Rochitte CE, Woodard PK, Manisty C, Zareba KM, Mont L, Bogun F, Ennis DB, Nazarian S, Webster G, Stojanovska J. SCMR expert consensus statement for cardiovascular magnetic resonance of patients with a cardiac implantable electronic device. J Cardiovasc Magn Reson 2024; 26:100995. [PMID: 38219955 PMCID: PMC11211236 DOI: 10.1016/j.jocmr.2024.100995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) is a proven imaging modality for informing diagnosis and prognosis, guiding therapeutic decisions, and risk stratifying surgical intervention. Patients with a cardiac implantable electronic device (CIED) would be expected to derive particular benefit from CMR given high prevalence of cardiomyopathy and arrhythmia. While several guidelines have been published over the last 16 years, it is important to recognize that both the CIED and CMR technologies, as well as our knowledge in MR safety, have evolved rapidly during that period. Given increasing utilization of CIED over the past decades, there is an unmet need to establish a consensus statement that integrates latest evidence concerning MR safety and CIED and CMR technologies. While experienced centers currently perform CMR in CIED patients, broad availability of CMR in this population is lacking, partially due to limited availability of resources for programming devices and appropriate monitoring, but also related to knowledge gaps regarding the risk-benefit ratio of CMR in this growing population. To address the knowledge gaps, this SCMR Expert Consensus Statement integrates consensus guidelines, primary data, and opinions from experts across disparate fields towards the shared goal of informing evidenced-based decision-making regarding the risk-benefit ratio of CMR for patients with CIEDs.
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Affiliation(s)
- Daniel Kim
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | | | - James A White
- Departments of Cardiac Sciences and Diagnostic Imaging, Cummings School of Medicine, University of Calgary, Calgary, Canada
| | - Kate Hanneman
- Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital and Peter Munk Cardiac Centre, University of Toronto, Toronto, Canada
| | - Daniel C Lee
- Department of Medicine (Division of Cardiology), Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Amit R Patel
- Cardiovascular Division, University of Virginia, Charlottesville, VA, USA
| | - Peng Hu
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Harold Litt
- Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan W Weinsaft
- Department of Medicine (Division of Cardiology), Weill Cornell Medicine, New York, NY, USA
| | - Rachel Davids
- SHS AM NAM USA DI MR COLLAB ADV-APPS, Siemens Medical Solutions USA, Inc., Chicago, Il, USA
| | - Kanae Mukai
- Salinas Valley Memorial Healthcare System, Ryan Ranch Center for Advanced Diagnostic Imaging, Monterey, CA, USA
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, the Hong Kong Special Administrative Region of China
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany
| | - Ariel Roguin
- Department of Cardiology, Hillel Yaffe Medical Center, Hadera and Faculty of Medicine. Technion - Israel Institute of Technology, Israel
| | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Pamela K Woodard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, London, UK
| | - Karolina M Zareba
- Division of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA
| | - Lluis Mont
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - Frank Bogun
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Saman Nazarian
- Section of Cardiac Electrophysiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Webster
- Department of Pediatrics (Cardiology), Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA
| | - Jadranka Stojanovska
- Department of Radiology, Grossman School of Medicine, New York University, New York, NY, USA
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19
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Duong SQ, Vaid A, My VTH, Butler LR, Lampert J, Pass RH, Charney AW, Narula J, Khera R, Sakhuja A, Greenspan H, Gelb BD, Do R, Nadkarni GN. Quantitative Prediction of Right Ventricular Size and Function From the ECG. J Am Heart Assoc 2024; 13:e031671. [PMID: 38156471 PMCID: PMC10863807 DOI: 10.1161/jaha.123.031671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Right ventricular ejection fraction (RVEF) and end-diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep learning-enabled ECG analysis for estimation of right ventricular (RV) size or function is unexplored. METHODS AND RESULTS We trained a deep learning-ECG model to predict RV dilation (RVEDV >120 mL/m2), RV dysfunction (RVEF ≤40%), and numerical RVEDV and RVEF from a 12-lead ECG paired with reference-standard cardiac magnetic resonance imaging volumetric measurements in UK Biobank (UKBB; n=42 938). We fine-tuned in a multicenter health system (MSHoriginal [Mount Sinai Hospital]; n=3019) with prospective validation over 4 months (MSHvalidation; n=115). We evaluated performance with area under the receiver operating characteristic curve for categorical and mean absolute error for continuous measures overall and in key subgroups. We assessed the association of RVEF prediction with transplant-free survival with Cox proportional hazards models. The prevalence of RV dysfunction for UKBB/MSHoriginal/MSHvalidation cohorts was 1.0%/18.0%/15.7%, respectively. RV dysfunction model area under the receiver operating characteristic curve for UKBB/MSHoriginal/MSHvalidation cohorts was 0.86/0.81/0.77, respectively. The prevalence of RV dilation for UKBB/MSHoriginal/MSHvalidation cohorts was 1.6%/10.6%/4.3%. RV dilation model area under the receiver operating characteristic curve for UKBB/MSHoriginal/MSHvalidation cohorts was 0.91/0.81/0.92, respectively. MSHoriginal mean absolute error was RVEF=7.8% and RVEDV=17.6 mL/m2. The performance of the RVEF model was similar in key subgroups including with and without left ventricular dysfunction. Over a median follow-up of 2.3 years, predicted RVEF was associated with adjusted transplant-free survival (hazard ratio, 1.40 for each 10% decrease; P=0.031). CONCLUSIONS Deep learning-ECG analysis can identify significant cardiac magnetic resonance imaging RV dysfunction and dilation with good performance. Predicted RVEF is associated with clinical outcome.
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Affiliation(s)
- Son Q. Duong
- Division of Pediatric Cardiology, Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNY
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Akhil Vaid
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Vy Thi Ha My
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Liam R. Butler
- Division of Pediatric Cardiology, Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Joshua Lampert
- Helmsley Center for Electrophysiology at The Mount Sinai HospitalNew YorkNY
| | - Robert H. Pass
- Division of Pediatric Cardiology, Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Alexander W. Charney
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Jagat Narula
- Mount Sinai Heart, Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCT
- Section of Health Informatics, Department of BiostatisticsYale School of Public HealthNew HavenCT
- Biomedical Informatics and Data Science, Yale School of MedicineNew HavenCT
- Center for Outcomes Research and Evaluation, Yale‐New Haven HospitalNew HavenCT
| | - Ankit Sakhuja
- Division of Cardiovascular Critical Care, Department of Cardiac and Thoracic SurgeryWest Virginia UniversityMorgantownWV
| | - Hayit Greenspan
- Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Bruce D. Gelb
- Division of Pediatric Cardiology, Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount SinaiNew YorkNY
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Ron Do
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Girish N. Nadkarni
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNY
- The Division of Data Driven and Digital Medicine (D3M), Department of MedicineIcahn School of Medicine at Mount SinaiNew YorkNY
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20
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He M, Jiang R, Fei-Sun, Cao JX, Wang L, Shi JY. Cardiac magnetic resonance imaging-derived septum swing index detects pulmonary hypertension: A diagnostic study. J Transl Int Med 2023; 11:459-467. [PMID: 38130640 PMCID: PMC10732575 DOI: 10.2478/jtim-2023-0114] [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] [Indexed: 12/23/2023] Open
Abstract
Background and Objectives Because of pressure differences between the pulmonary artery and aorta, the ventricular septum moves in a swinging motion that is commonly observed on cardiac MR (CMR) cine sequences in patients with pulmonary hypertension (PH). We aimed to assess the use of septum swing index (SSI) derived by CMR for detecting PH. Methods We retrospectively identified consecutive patients with suspected PH who underwent right heart catheterization (RHC) and CMR at a PH referral center between July 2019 and December 2020. The diagnostic accuracy of SSI for identifying PH (mean pulmonary artery pressure [mPAP] ≥ 25 mmHg) was assessed by receiver operating characteristic curves, sensitivity, specificity, and positive and negative predictive values. Results A total of 105 patients (mean age: 47.8 ± 15.0 years; 68 females) were included in the final analysis. SSI and mPAP were negatively correlated in the total study population and patients with PH, but not in patients without PH. SSI was an independent predictor of PH (adjusted odds ratio: 12.9, 95% confidence interval: 3.6 to 45.5, P = 0.003). The area under the curve for SSI was 0.91, with a cut-off value of 0.9673 yielding the best balance of sensitivity (86.4%), specificity (88.2%), positive predictive value (97.4%), negative predictive value (55.6%), and accuracy (86.7%) for detecting PH. Conclusions Septum swing index was lower in patients with PH and is a simple, reliable method for detecting PH.
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Affiliation(s)
- Miao He
- Department of Radiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai200120, China
| | - Rong Jiang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai200433, China
| | - Fei-Sun
- Jedicare Medical Co. Ltd., Shanghai201210, China
| | - Jing-Xue Cao
- Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai200433, China
| | - Lan Wang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai200433, China
| | - Jing-Yun Shi
- Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai200433, China
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21
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Leiknes JB, Hiorth A, Havnen J, Greve OJ, Kurz KD, Larsen AI. Estimating cardiac output from coronary CT angiography: an individualized compartment model in comparison to the Stewart-Hamilton method. Front Cardiovasc Med 2023; 10:1156332. [PMID: 38054087 PMCID: PMC10694230 DOI: 10.3389/fcvm.2023.1156332] [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: 02/01/2023] [Accepted: 10/10/2023] [Indexed: 12/07/2023] Open
Abstract
Background Attenuation is correlated with the concentration of contrast medium (CM) in the arteries. The cardiac output (CO) affects the concentration of CM in the circulatory system; therefore, CO affects the time-density curve (TDC). Thus, estimating CO using TDC from test-bolus images acquired in computed tomography (CT) is possible. In this study, we compare two methods of estimating CO, namely, an individualized mathematical compartment model, integrating patient, contrast, and scanning factors with TDC, and the Stewart-Hamilton method based on the area under the curve of the TDC. Materials and methods Attenuation in the aorta was measured during test-bolus in 40 consecutive patients with a clinical indication for coronary CT angiography (CCTA). Each participant underwent cardiac magnetic resonance imaging following CCTA to validate the estimated CO. The individual compartment model used TDC in conjunction with scanning and patient-specific parameters to estimate the concentration of CM and CO over time. This was compared to the CO calculated from the area under the curve using the Stewart-Hamilton method. Results Both CO estimated with our individualized compartment model (r = 0.66, p < 0.01) and the Stewart-Hamilton method (r = 0.53, p < 0.01) were moderately correlated with CO measured with cardiac MRI. Body surface area (BSA) and time to peak (TTP) affected the accuracy of our model. Lower BSA resulted in overestimation, and lower TTP resulted in CO underestimation, respectively. We found no gender-specific difference in the accuracy of our model when correcting for BSA. The Stewart-Hamilton method performed better with a more complete TDC, whereas the compartment model performed better overall with a partial TDC. Conclusion The TDC acquired in CCTA allows for CO estimation. Both the Stewart-Hamilton method and our mathematical compartment model show moderate correlation when applied to our data, although each method has its strengths and limitations. If the majority of the TDC is known, the Stewart-Hamilton method may be more reliable, but an individual compartment model is preferable when there are insufficient data points in the TDC. Regardless, both methods can potentially increase the diagnostic information acquired from a CCTA, which is increasingly recommended in clinical guidelines.
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Affiliation(s)
- Jon Bjarne Leiknes
- Stavanger Medical Imaging Laboratory, Department of Radiology, Stavanger University Hospital, Stavanger, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Aksel Hiorth
- Department of Energy Resources, University of Stavanger, Stavanger, Norway
| | - Jorunn Havnen
- Stavanger Medical Imaging Laboratory, Department of Radiology, Stavanger University Hospital, Stavanger, Norway
| | - Ole Jacob Greve
- Stavanger Medical Imaging Laboratory, Department of Radiology, Stavanger University Hospital, Stavanger, Norway
| | - Kathinka Dæhli Kurz
- Stavanger Medical Imaging Laboratory, Department of Radiology, Stavanger University Hospital, Stavanger, Norway
- Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | - Alf Inge Larsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Cardiology, Stavanger University Hospital, Stavanger, Norway
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22
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Temur HO, Alkan A, Yozgat CY, Cakir E, Yazan H, Yabul FC, Cesme DH, Yozgat Y. MRI evaluation of right heart functions in children with mild cystic fibrosis. Cardiol Young 2023; 33:1828-1833. [PMID: 36226672 DOI: 10.1017/s1047951122003249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND This study aimed to assess the ventricular anatomy, function of the right ventricle, and the haemodynamic findings of pulmonary artery in children with cystic fibrosis using cardiac MRI. PATIENTS This prospective study consisted of 32 children with mild cystic fibrosis and 30 age-matched healthy control participants. METHODS Cardiac MRI was used to assess right ventricular volumes, anatomy, and function and to assessment of haemodynamic findings of pulmonary artery in the control and study groups. Haemodynamic findings of pulmonary arteries were determined using pulmonary arteries peak velocity (cm/s), and pulmonary arteries time-to-peak velocity (ms) and pulmonary artery systolic pressure. All data of children with mild cystic fibrosis were compared with those of 30 age-matched healthy control group participants. RESULTS Our patients and their age-matched controls were aged from 6 to 17 years and from 7 to 15 years, respectively. We found that ejection fraction (%), cardiac output (L/ml), cardiac output (L/ml/m2), and systolic volume (ml/m2) were significantly lower in children with cystic fibrosis (p < 0.01). Right ventricular anterior wall thickness (mm) was significantly higher in children with cystic fibrosis (p = 0.01). No significant difference was observed between the haemodynamic parameters of pulmonary artery in the patient group. CONCLUSION In our study, cardiac MRI was used to investigate whether the right ventricle was affected functionally and anatomically in children with mild cystic fibrosis. We detected a significant decrease in right ventricular systolic functions and notable alterations in the right ventricular geometry of children with mild cystic fibrosis. These alterations usually manifest themselves as hypertrophy of the right ventricle. Our study's results demonstrate no relationship between the development of pulmonary hypertension in mild cystic fibrosis children.
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Affiliation(s)
- Hafize Otcu Temur
- Department of Radiology, Bezmialem Vakif University, Istanbul, Turkey
| | - Alpay Alkan
- Department of Radiology, Bezmialem Vakif University, Istanbul, Turkey
| | | | - Erkan Cakir
- Department of Pediatric Pulmonology, Bezmialem Vakif University, Istanbul, Turkey
| | - Hakan Yazan
- Department of Pediatric Pulmonology, Bezmialem Vakif University, Istanbul, Turkey
| | - Fatma Celik Yabul
- Department of Radiology, Bezmialem Vakif University, Istanbul, Turkey
| | - Dilek Hacer Cesme
- Department of Radiology, Bezmialem Vakif University, Istanbul, Turkey
| | - Yilmaz Yozgat
- Department of Pediatric Cardiology, Istanbul Medipol University, Istanbul, Turkey
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23
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Bradley AJ, Ghawanmeh M, Govi AM, Covas P, Panjrath G, Choi AD. Emerging Roles for Artificial Intelligence in Heart Failure Imaging. Heart Fail Clin 2023; 19:531-543. [PMID: 37714592 DOI: 10.1016/j.hfc.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and prognostic paradigm of heart failure is heavily reliant on cardiac imaging. As AI becomes increasingly validated and integrated into clinical practice, AI influence on heart failure management will grow. This review discusses areas of current research and potential clinical applications in AI as applied to heart failure cardiac imaging.
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Affiliation(s)
- Andrew J Bradley
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
| | - Malik Ghawanmeh
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Ashley M Govi
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Pedro Covas
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Gurusher Panjrath
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA. https://twitter.com/PanjrathG
| | - Andrew D Choi
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA. https://twitter.com/AChoiHeart
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24
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Pan J, Ng SM, Neubauer S, Rider OJ. Phenotyping heart failure by cardiac magnetic resonance imaging of cardiac macro- and microscopic structure: state of the art review. Eur Heart J Cardiovasc Imaging 2023; 24:1302-1317. [PMID: 37267310 PMCID: PMC10531211 DOI: 10.1093/ehjci/jead124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/26/2023] [Indexed: 06/04/2023] Open
Abstract
Heart failure demographics have evolved in past decades with the development of improved diagnostics, therapies, and prevention. Cardiac magnetic resonance (CMR) has developed in a similar timeframe to become the gold-standard non-invasive imaging modality for characterizing diseases causing heart failure. CMR techniques to assess cardiac morphology and function have progressed since their first use in the 1980s. Increasingly efficient acquisition protocols generate high spatial and temporal resolution images in less time. This has enabled new methods of characterizing cardiac systolic and diastolic function such as strain analysis, exercise real-time cine imaging and four-dimensional flow. A key strength of CMR is its ability to non-invasively interrogate the myocardial tissue composition. Gadolinium contrast agents revolutionized non-invasive cardiac imaging with the late gadolinium enhancement technique. Further advances enabled quantitative parametric mapping to increase sensitivity at detecting diffuse pathology. Novel methods such as diffusion tensor imaging and artificial intelligence-enhanced image generation are on the horizon. Magnetic resonance spectroscopy (MRS) provides a window into the molecular environment of the myocardium. Phosphorus (31P) spectroscopy can inform the status of cardiac energetics in health and disease. Proton (1H) spectroscopy complements this by measuring creatine and intramyocardial lipids. Hyperpolarized carbon (13C) spectroscopy is a novel method that could further our understanding of dynamic cardiac metabolism. CMR of other organs such as the lungs may add further depth into phenotypes of heart failure. The vast capabilities of CMR should be deployed and interpreted in context of current heart failure challenges.
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Affiliation(s)
- Jiliu Pan
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Sher May Ng
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Oliver J Rider
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
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25
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Sander J, de Vos BD, Bruns S, Planken N, Viergever MA, Leiner T, Išgum I. Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations. Comput Biol Med 2023; 164:107266. [PMID: 37494823 DOI: 10.1016/j.compbiomed.2023.107266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/26/2023] [Accepted: 07/16/2023] [Indexed: 07/28/2023]
Abstract
Since the onset of computer-aided diagnosis in medical imaging, voxel-based segmentation has emerged as the primary methodology for automatic analysis of left ventricle (LV) function and morphology in cardiac magnetic resonance images (CMRI). In standard clinical practice, simultaneous multi-slice 2D cine short-axis MR imaging is performed under multiple breath-holds resulting in highly anisotropic 3D images. Furthermore, sparse-view CMRI often lacks whole heart coverage caused by large slice thickness and often suffers from inter-slice misalignment induced by respiratory motion. Therefore, these volumes only provide limited information about the true 3D cardiac anatomy which may hamper highly accurate assessment of functional and anatomical abnormalities. To address this, we propose a method that learns a continuous implicit function representing 3D LV shapes by training an auto-decoder. For training, high-resolution segmentations from cardiac CT angiography are used. The ability of our approach to reconstruct and complete high-resolution shapes from manually or automatically obtained sparse-view cardiac shape information is evaluated by using paired high- and low-resolution CMRI LV segmentations. The results show that the reconstructed LV shapes have an unconstrained subvoxel resolution and appear smooth and plausible in through-plane direction. Furthermore, Bland-Altman analysis reveals that reconstructed high-resolution ventricle volumes are closer to the corresponding reference volumes than reference low-resolution volumes with bias of [limits of agreement] -3.51 [-18.87, 11.85] mL, and 12.96 [-10.01, 35.92] mL respectively. Finally, the results demonstrate that the proposed approach allows recovering missing shape information and can indirectly correct for limited motion-induced artifacts.
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Affiliation(s)
- Jörg Sander
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center location University of Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands; Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands.
| | - Bob D de Vos
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center location University of Amsterdam, The Netherlands
| | - Steffen Bruns
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center location University of Amsterdam, The Netherlands
| | - Nils Planken
- Department of Radiology and Nuclear Medicine,Amsterdam University Medical Center location University of Amsterdam, Amsterdam, The Netherlands
| | - Max A Viergever
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tim Leiner
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center location University of Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands; Department of Radiology and Nuclear Medicine,Amsterdam University Medical Center location University of Amsterdam, Amsterdam, The Netherlands; Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands
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Yu C, Pathan S, Jeyaprakash P, Kritharides L, Pathan F, Negishi K. Cardiac magnetic relaxometry versus ejection fraction in anthracycline-related cardiac changes: a systematic review and meta-analysis. Open Heart 2023; 10:e002344. [PMID: 37507150 PMCID: PMC10387664 DOI: 10.1136/openhrt-2023-002344] [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: 04/16/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
PURPOSE The purpose of this meta-analysis is to compare the magnitude of the changes in left ventricular ejection fraction (LVEF) and cardiac magnetic resonance (CMR) relaxometry techniques soon after the completion of anthracycline therapy. Anthracyclines are associated with myocardial functional and morphological changes. LVEF is currently used to identify the functional changes. Anthracyclines can also cause myocardial inflammation and oedema. This can be assessed using CMR relaxometry techniques; T1 and T2 mapping and extracellular volume (ECV) fraction. METHODS Three databases were systematically searched for studies evaluating CMR relaxometry parameter at baseline and 1±1 months after anthracycline completion (the last search date 17 March 2023). CMR parameters pre and post anthracycline-based chemotherapy were abstracted. A random effects model was used to pool mean difference (MD) in LVEF and ECV. Standardised mean difference (SMD) was also calculated for T1 and T2 mapping due to the variations in techniques, normal ranges and for the comparison among the parameters. RESULTS A total of 296 patients were included from 10 studies. 84% were female with a mean age of 54.9 years. Statistically significant alterations were observed in LVEF (MD -3.38% (95% CI -5.13%, -1.62%)) and ECV (1.92% (1.30%, 2.53%)). The pooled SMDs were also significant in LVEF, T1, T2 and ECV with -0.61 (-0.91, -0.30), 0.53 (0.16, 0.90), 0.59 (0.22, 0.96) and 0.74 (0.41, 1.06), respectively. CONCLUSIONS Our meta-analysis demonstrated small but significant alterations in CMR relaxometry parameters soon after anthracycline therapy, where ECV was superior to LVEF and T1 or T2 mapping. However, these short-term MDs were below the minimal detectable differences. PROSPERO REGISTRATION NUMBER CRD42020196296.
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Affiliation(s)
- Christopher Yu
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cardiology, Nepean Hospital, Penrith, New South Wales, Australia
| | - Shahab Pathan
- Cardiology, Nepean Hospital, Penrith, New South Wales, Australia
- Cardiology, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Prajith Jeyaprakash
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cardiology, Nepean Hospital, Penrith, New South Wales, Australia
| | - Leonard Kritharides
- Cardiology, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Faraz Pathan
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cardiology, Nepean Hospital, Penrith, New South Wales, Australia
| | - Kazuaki Negishi
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cardiology, Nepean Hospital, Penrith, New South Wales, Australia
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27
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Hameed A, Condliffe R, Swift AJ, Alabed S, Kiely DG, Charalampopoulos A. Assessment of Right Ventricular Function-a State of the Art. Curr Heart Fail Rep 2023; 20:194-207. [PMID: 37271771 PMCID: PMC10256637 DOI: 10.1007/s11897-023-00600-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/17/2023] [Indexed: 06/06/2023]
Abstract
PURPOSE OF REVIEW The right ventricle (RV) has a complex geometry and physiology which is distinct from the left. RV dysfunction and failure can be the aftermath of volume- and/or pressure-loading conditions, as well as myocardial and pericardial diseases. RECENT FINDINGS Echocardiography, magnetic resonance imaging and right heart catheterisation can assess RV function by using several qualitative and quantitative parameters. In pulmonary hypertension (PH) in particular, RV function can be impaired and is related to survival. An accurate assessment of RV function is crucial for the early diagnosis and management of these patients. This review focuses on the different modalities and indices used for the evaluation of RV function with an emphasis on PH.
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Affiliation(s)
- Abdul Hameed
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Robin Condliffe
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- INSIGNEO, Institute for in silico Medicine, University of Sheffield, Sheffield, UK
| | - Samer Alabed
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- INSIGNEO, Institute for in silico Medicine, University of Sheffield, Sheffield, UK
| | - David G Kiely
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- NIHR Sheffield Biomedical Research Centre, Sheffield, UK
| | - Athanasios Charalampopoulos
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK.
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
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28
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Ro SK, Sato K, Ijuin S, Sela D, Fior G, Heinsar S, Kim JY, Chan J, Nonaka H, Lin ACW, Bassi GL, Platts DG, Obonyo NG, Suen JY, Fraser JF. Assessment and diagnosis of right ventricular failure-retrospection and future directions. Front Cardiovasc Med 2023; 10:1030864. [PMID: 37324632 PMCID: PMC10268009 DOI: 10.3389/fcvm.2023.1030864] [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: 08/29/2022] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
The right ventricle (RV) has a critical role in hemodynamics and right ventricular failure (RVF) often leads to poor clinical outcome. Despite the clinical importance of RVF, its definition and recognition currently rely on patients' symptoms and signs, rather than on objective parameters from quantifying RV dimensions and function. A key challenge is the geometrical complexity of the RV, which often makes it difficult to assess RV function accurately. There are several assessment modalities currently utilized in the clinical settings. Each diagnostic investigation has both advantages and limitations according to its characteristics. The purpose of this review is to reflect on the current diagnostic tools, consider the potential technological advancements and propose how to improve the assessment of right ventricular failure. Advanced technique such as automatic evaluation with artificial intelligence and 3-dimensional assessment for the complex RV structure has a potential to improve RV assessment by increasing accuracy and reproducibility of the measurements. Further, noninvasive assessments for RV-pulmonary artery coupling and right and left ventricular interaction are also warranted to overcome the load-related limitations for the accurate evaluation of RV contractile function. Future studies to cross-validate the advanced technologies in various populations are required.
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Affiliation(s)
- Sun Kyun Ro
- Department of Thoracic and Cardiovascular Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Kei Sato
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Shinichi Ijuin
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe, Japan
| | - Declan Sela
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Gabriele Fior
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Silver Heinsar
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
- Department of Intensive Care, North Estonia Medical Centre, Tallinn, Estonia
| | - Ji Young Kim
- Department of Nuclear Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Jonathan Chan
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Hideaki Nonaka
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
| | - Aaron C. W. Lin
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Gianluigi Li Bassi
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
| | - David G. Platts
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Nchafatso G. Obonyo
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Wellcome Trust Centre for Global Health Research, Imperial College London, London, United Kingdom
- Initiative to Develop African Research Leaders (IDeAL)/KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Jacky Y. Suen
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - John F. Fraser
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
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29
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Baessato F, Fusini L, Muratori M, Tamborini G, Ghulam Ali S, Mantegazza V, Baggiano A, Mushtaq S, Pepi M, Patti G, Pontone G. Echocardiography vs. CMR in the Quantification of Chronic Mitral Regurgitation: A Happy Marriage or Stormy Divorce? J Cardiovasc Dev Dis 2023; 10:jcdd10040150. [PMID: 37103029 PMCID: PMC10145831 DOI: 10.3390/jcdd10040150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Quantification of chronic mitral regurgitation (MR) is essential to guide patients’ clinical management and define the need and appropriate timing for mitral valve surgery. Echocardiography represents the first-line imaging modality to assess MR and requires an integrative approach based on qualitative, semiquantitative, and quantitative parameters. Of note, quantitative parameters, such as the echocardiographic effective regurgitant orifice area, regurgitant volume (RegV), and regurgitant fraction (RegF), are considered the most reliable indicators of MR severity. In contrast, cardiac magnetic resonance (CMR) has demonstrated high accuracy and good reproducibility in quantifying MR, especially in cases with secondary MR; nonholosystolic, eccentric, and multiple jets; or noncircular regurgitant orifices, where quantification with echocardiography is an issue. No gold standard for MR quantification by noninvasive cardiac imaging has been defined so far. Only a moderate agreement has been shown between echocardiography, either with transthoracic or transesophageal approaches, and CMR in MR quantification, as supported by numerous comparative studies. A higher agreement is evidenced when echocardiographic 3D techniques are used. CMR is superior to echocardiography in the calculation of the RegV, RegF, and ventricular volumes and can provide myocardial tissue characterization. However, echocardiography remains fundamental in the pre-operative anatomical evaluation of the mitral valve and of the subvalvular apparatus. The aim of this review is to explore the accuracy of MR quantification provided by echocardiography and CMR in a head-to-head comparison between the two techniques, with insight into the technical aspects of each imaging modality.
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Affiliation(s)
- Francesca Baessato
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
- Department of Cardiology, Regional Hospital S. Maurizio, 39100 Bolzano, Italy
| | - Laura Fusini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133 Milan, Italy
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy
- Correspondence:
| | - Manuela Muratori
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Gloria Tamborini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Sarah Ghulam Ali
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Valentina Mantegazza
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Mauro Pepi
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Giuseppe Patti
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy
- Division of Cardiology, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 2012 Milan, Italy
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30
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Bourfiss M, Sander J, de Vos BD, Te Riele ASJM, Asselbergs FW, Išgum I, Velthuis BK. Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy. Clin Res Cardiol 2023; 112:363-378. [PMID: 36066609 PMCID: PMC9998324 DOI: 10.1007/s00392-022-02088-x] [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: 06/20/2022] [Accepted: 08/16/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Arrhythmogenic right ventricular cardiomyopathy (ARVC) is diagnosed according to the Task Force Criteria (TFC) in which cardiovascular magnetic resonance (CMR) imaging plays an important role. Our study aims to apply an automatic deep learning-based segmentation for right and left ventricular CMR assessment and evaluate this approach for classification of the CMR TFC. METHODS We included 227 subjects suspected of ARVC who underwent CMR. Subjects were classified into (1) ARVC patients fulfilling TFC; (2) at-risk family members; and (3) controls. To perform automatic segmentation, a Bayesian Dilated Residual Neural Network was trained and tested. Performance of automatic versus manual segmentation was assessed using Dice-coefficient and Hausdorff distance. Since automatic segmentation is most challenging in basal slices, manual correction of the automatic segmentation in the most basal slice was simulated (automatic-basal). CMR TFC calculated using manual and automatic-basal segmentation were compared using Cohen's Kappa (κ). RESULTS Automatic segmentation was trained on CMRs of 70 subjects (39.6 ± 18.1 years, 47% female) and tested on 157 subjects (36.9 ± 17.6 years, 59% female). Dice-coefficient and Hausdorff distance showed good agreement between manual and automatic segmentations (≥ 0.89 and ≤ 10.6 mm, respectively) which further improved after simulated correction of the most basal slice (≥ 0.92 and ≤ 9.2 mm, p < 0.001). Pearson correlation of volumetric and functional CMR measurements was good to excellent (automatic (r = 0.78-0.99, p < 0.001) and automatic-basal (r = 0.88-0.99, p < 0.001) measurements). CMR TFC classification using automatic-basal segmentations was comparable to manual segmentations (κ 0.98 ± 0.02) with comparable diagnostic performance. CONCLUSIONS Combining automatic segmentation of CMRs with correction of the most basal slice results in accurate CMR TFC classification of subjects suspected of ARVC.
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Affiliation(s)
- Mimount Bourfiss
- Department of Medicine, Division of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Jörg Sander
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Bob D de Vos
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, The Netherlands
| | - Anneline S J M Te Riele
- Department of Medicine, Division of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.,Netherlands Heart Institute, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Medicine, Division of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.,Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.,Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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31
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Meloni A, Pistoia L, Quota A, Messina G, Ricchi P, Bagnato S, Gerardi C, Lisi R, Cuccia L, Renne S, Vallone A, Righi R, Positano V, Pepe A, Cademartiri F. Prognostic value of multiparametric cardiac magnetic resonance in sickle cell patients. Ann Hematol 2023; 102:261-270. [PMID: 36459182 DOI: 10.1007/s00277-022-05057-6] [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: 06/20/2022] [Accepted: 11/11/2022] [Indexed: 12/03/2022]
Abstract
The aim of this multicenter study was to prospectively assess the predictive value of multiparametric cardiac magnetic resonance (CMR) for cardiovascular complications in sickle cell disease (SCD) patients. Among all patients with hemoglobinopathies consecutively enrolled in the Myocardial Iron Overload in Thalassemia (MIOT) Network, we selected 102 SCD patients (34.38 ± 12.67 years, 49 females). Myocardial iron overload (MIO) was measured by the multislice multiecho T2* technique. Atrial dimensions and biventricular function parameters were quantified by cine images. Late gadolinium enhancement (LGE) images were acquired to detect focal myocardial fibrosis. At baseline CMR, only two patients had significant MIO (global heart T2* < 20 ms). During a mean follow-up of 63.01 ± 24.95 months, 11 cardiovascular events (10.8%) were registered: 3 pulmonary hypertension, 2 supraventricular arrhythmias, 1 heart failure, 1 death for heart failure, 1 pulmonary embolism, 1 peripheral vascular disease, 1 transient ischemic attack, and 1 death after acute chest syndrome. In the multivariate analysis, the independent CMR predictors of cardiovascular events were left ventricular (LV) ejection fraction (hazard ratio-HR = 0.88; p = 0.025) and right ventricular (RV) mass index (HR = 1.09; p = 0.047). According to the receiver-operating characteristic curve analysis for adverse events, an LV ejection fraction < 58.9% and an RV mass index > 31 g/m2 were optimal cut-off values. Reduced left ventricular ejection fraction and increased right ventricular mass index showed a significant prognostic value in patients with SCD. Our data seem to suggest that CMR may be added as a screening tool for identifying SCD patients at high risk for cardiopulmonary and vascular diseases.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1 - 56124, Pisa, Italy.,U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1 - 56124, Pisa, Italy
| | - Alessandra Quota
- Servizio Di Talassemia, Ospedale V. Emanuele III, Gela, CL, Italy
| | - Giuseppe Messina
- Centro Microcitemie, Grande Ospedale Metropolitano Bianchi-Melacrino-Morelli, Reggio Calabria, Italy
| | - Paolo Ricchi
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera Di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Sergio Bagnato
- Ematologia Microcitemia, Ospedale San Giovanni di Dio - ASP Crotone, Crotone, Italy
| | - Calogera Gerardi
- Unità Operativa Semplice Di Talassemia, Presidio Ospedaliero Giovanni Paolo II - Distretto AG2 Di Sciacca, Sciacca, AG, Italy
| | - Roberto Lisi
- Unità Operativa Dipartimentale Talassemia, Azienda Ospedaliera Garibaldi Presidio Ospedaliero Garibaldi-Centro, Catania, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia Con Talassemia, ARNAS Civico Benfratelli-Di Cristina, Palermo, Italy
| | - Stefania Renne
- Struttura Complessa Di Cardioradiologia-UTIC, Presidio Ospedaliero "Giovanni Paolo II", Lamezia Terme, Italy
| | - Antonino Vallone
- Reparto Di Radiologia, Azienda Ospedaliera Garibaldi Presidio Ospedaliero Nesima, Catania, Italy
| | - Riccardo Righi
- Diagnostica Per Immagini e Radiologia Interventistica, Ospedale del Delta, Lagosanto, FE, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1 - 56124, Pisa, Italy.,U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1 - 56124, Pisa, Italy.
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Schuermans A, den Harink T, Raman B, Smillie RW, Alsharqi M, Mohamed A, Lapidaire W, van Deutekom AW, Leeson P, Lewandowski AJ. Differing Impact of Preterm Birth on the Right and Left Atria in Adulthood. J Am Heart Assoc 2022; 11:e027305. [PMID: 36453643 PMCID: PMC9851437 DOI: 10.1161/jaha.122.027305] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 10/17/2022] [Indexed: 12/02/2022]
Abstract
Background Preterm birth affects 10% of live births and is associated with an altered left ventricular and right ventricular phenotype and increased cardiovascular disease risk in young adulthood. Because left atrial (LA) and right atrial (RA) volume and function are known independent predictors of cardiovascular outcomes, we investigated whether these were altered in preterm-born young adults. Methods and Results Preterm-born (n=200) and term-born (n=266) adults aged 18 to 39 years underwent cardiovascular magnetic resonance imaging. LA and RA maximal and minimal volumes (absolute, indexed to body surface area, and as a ratio to ventricular volumes) were obtained to study atrial morphology, while LA and RA stroke volume, strain, and strain rate were used to assess atrial function. Secondary analyses consisted of between-group comparisons based on degree of prematurity. Absolute RA volumes and RA volumes indexed to right ventricular volumes were significantly smaller in preterm-born compared with term-born adults. In addition, RA reservoir and booster strain were higher in preterm-born adults, possibly indicating functional compensation for the smaller RA volumes. LA volumes indexed to left ventricular volumes were significantly greater in preterm-born adults as compared with term-born adults, although absolute LA volumes were similar between groups. LA and RA changes were observed across gestational ages in the preterm group but were greatest in those born very-to-extremely preterm. Conclusions Preterm-born adults show changes in LA and RA structure and function, which may indicate subclinical cardiovascular disease. Further research into underlying mechanisms, opportunities for interventions, and their prognostic value is warranted.
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Affiliation(s)
- Art Schuermans
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Department of Cardiovascular SciencesKU LeuvenLeuvenBelgium
| | - Tamara den Harink
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Department of Epidemiology and Data Science, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Betty Raman
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford University Hospitals NHS Foundation TrustOxfordUnited Kingdom
| | - Robert W. Smillie
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Maryam Alsharqi
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Department of Cardiac TechnologyCollege of Applied Medical Sciences, Imam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia
| | - Afifah Mohamed
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Department of Diagnostic Imaging & Applied Health Sciences, Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
| | - Winok Lapidaire
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Arend W. van Deutekom
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Department of Paediatrics, Division of Paediatric CardiologyErasmus MC‐Sophia Children’s HospitalRotterdamThe Netherlands
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford University Hospitals NHS Foundation TrustOxfordUnited Kingdom
| | - Adam J. Lewandowski
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford University Hospitals NHS Foundation TrustOxfordUnited Kingdom
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Cools B, Nagaraju CK, Vandendriessche K, van Puyvelde J, Youness M, Roderick HL, Gewillig M, Sipido K, Claus P, Rega F. Reversal of Right Ventricular Remodeling After Correction of Pulmonary Regurgitation in Tetralogy of Fallot. JACC Basic Transl Sci 2022; 8:301-315. [PMID: 37034286 PMCID: PMC10077151 DOI: 10.1016/j.jacbts.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 12/15/2022]
Abstract
In the sheep model with pathophysiologic changes similar to patients with repaired TOF, severe PR leads to fibrotic changes in the RV. Pulmonary valve replacement reverses these fibrotic changes. Early valve replacement led to a quick RV recovery, and in time there was no difference in outcome between early and late valve replacement. These data support the benefit of valve replacement for RV function and suggest that there is a margin in the timing of the surgery. The fibrotic changes correlated well with the circulating biomarker PICP, which can have an added value in the clinical follow-up of patients with repaired TOF.
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Affiliation(s)
- Bjorn Cools
- Department of Pediatric and Congenital Cardiology, University Hospitals Leuven, Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | | | | | - Joeri van Puyvelde
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
- Department of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Mohamad Youness
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | | | - Marc Gewillig
- Department of Pediatric and Congenital Cardiology, University Hospitals Leuven, Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Karin Sipido
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Piet Claus
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Filip Rega
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
- Department of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium
- Address for correspondence: Dr Filip Rega, Department of Cardiac Surgery, University Hospitals Leuven, Herestraat 49, B-3000 Leuven, Belgium.
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Yacoub MH, Nagy M, Hosny H, Afifi A, Shehata N, Mahgoub A, El Sawy A, Sabry M, Abdullah H, Romeih S, Elafifi A. Right ventricular structure and function after novel repair of common arterial trunk. INTERNATIONAL JOURNAL OF CARDIOLOGY CONGENITAL HEART DISEASE 2022; 10:100416. [PMID: 39713597 PMCID: PMC11657794 DOI: 10.1016/j.ijcchd.2022.100416] [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: 08/07/2022] [Accepted: 08/10/2022] [Indexed: 11/27/2022] Open
Abstract
Objectives In an attempt to enhance applicability and outcomes of corrections of common arterial trunk, we have recently described a novel method of correction based on the concept of morphodynamism, and preserving the structure of the right ventricle. The intermediate influence of this operation on right ventricular (RV) structure and function have not been described. Methods and results Thirty eight Patients (age: 1-12 months) underwent the novel repair. There were 2 early and 4 late deaths. All patients underwent early CT scans, 12 had repeat CT and 8 had MRI after 1 year or more from the operation. Detailed computerized analysis of the RV size, shape, pattern of contraction and function was performed. The shape and size were preserved, at the second investigation, with no evidence of dilatation of the neo-RV outflow, which appeared to contribute to overall function of the RV. The directional pattern of contraction showed enhanced longitudinal and radial contributions with minimal twisting. The movement of the RV free wall and septum were almost equal, with normal shape of the septum. The instantaneous pattern of contraction followed a consistent peristalsis sequence with significant contraction of both the body and the neo-outflow. The pulmonary regurgitant fraction, at follow up, varied from 22% to 42% (30 ± 6%) with preserved RV to pulmonary artery ventriculo-arterial coupling. Conclusion The size, shape and pattern of contraction of the RV following the novel common arterial trunk repair appears to be well preserved in the intermediate term.
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Affiliation(s)
- Magdi H. Yacoub
- Cardiac Surgery Department, Aswan Heart Centre, Aswan, Egypt
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Mohamed Nagy
- Biomedical Engineering and Innovation Laboratory, Aswan Heart Centre, Aswan, Egypt
| | - Hatem Hosny
- Cardiac Surgery Department, Aswan Heart Centre, Aswan, Egypt
| | - Ahmed Afifi
- Cardiac Surgery Department, Aswan Heart Centre, Aswan, Egypt
- Cardiac Surgery Department, National Heart Institute, Giza, Egypt
| | - Nairouz Shehata
- Biomedical Engineering and Innovation Laboratory, Aswan Heart Centre, Aswan, Egypt
| | - Ahmed Mahgoub
- Cardiac Surgery Department, Aswan Heart Centre, Aswan, Egypt
- Cardiac Surgery Department, National Heart Institute, Giza, Egypt
| | - Amr El Sawy
- Biomedical Engineering and Innovation Laboratory, Aswan Heart Centre, Aswan, Egypt
| | - Malak Sabry
- Biomedical Engineering and Innovation Laboratory, Aswan Heart Centre, Aswan, Egypt
| | - Hedaia Abdullah
- Pediatric Intensive Care Unit, Aswan Heart Centre, Aswan, Egypt
| | - Soha Romeih
- Radiology Department, Aswan Heart Centre, Aswan, Egypt
- Cardiology Department, Tanta University, Egypt
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Gröschel J, Ammann C, Zange L, Viezzer D, Forman C, Schmidt M, Blaszczyk E, Schulz-Menger J. Fast acquisition of left and right ventricular function parameters applying cardiovascular magnetic resonance in clinical routine - validation of a 2-shot compressed sensing cine sequence. SCAND CARDIOVASC J 2022; 56:266-275. [PMID: 35836407 DOI: 10.1080/14017431.2022.2099010] [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] [Indexed: 10/17/2022]
Abstract
Objectives. To evaluate if cine sequences accelerated by compressed sensing (CS) are feasible in clinical routine and yield equivalent cardiac morphology in less time. Design. We evaluated 155 consecutive patients with various cardiac diseases scanned during our clinical routine. LV and RV short axis (SAX) cine images were acquired by conventional and prototype 2-shot CS sequences on a 1.5 T CMR. The 2-shot prototype captures the entire heart over a period of 3 beats making the acquisition potentially even faster. Both scans were performed with identical slice parameters and positions. We compared LV and RV morphology with Bland-Altmann plots and weighted the results in relation to pre-defined tolerance intervals. Subjective and objective image quality was evaluated using a 4-point score and adapted standardized criteria. Scan times were evaluated for each sequence. Results. In total, no acquisitions were lost due to non-diagnostic image quality in the subjective image score. Objective image quality analysis showed no statistically significant differences. The scan time of the CS cines was significantly shorter (p < .001) with mean scan times of 178 ± 36 s compared to 313 ± 65 s for the conventional cine. All cardiac function parameters showed excellent correlation (r 0.978-0.996). Both sequences were considered equivalent for the assessment of LV and RV morphology. Conclusions. The 2-shot CS SAX cines can be used in clinical routine to acquire cardiac morphology in less time compared to the conventional method, with no total loss of acquisitions due to nondiagnostic quality. TRIAL REGISTRATION ISRCTN12344380. Registered 20 November 2020, retrospectively registered.
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Affiliation(s)
- Jan Gröschel
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Clemens Ammann
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Leonora Zange
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,Department of Cardiology and Nephrology, HELIOS Hospital Berlin-Buch, Berlin, Germany
| | - Darian Viezzer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | | | | | - Edyta Blaszczyk
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Cardiology and Nephrology, HELIOS Hospital Berlin-Buch, Berlin, Germany
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Roifman I, Hammer M, Sparkes J, Dall'Armellina E, Kwong RY, Wright G. Utilization and impact of cardiovascular magnetic resonance on patient management in heart failure: insights from the SCMR Registry. J Cardiovasc Magn Reson 2022; 24:65. [PMID: 36404335 PMCID: PMC9677679 DOI: 10.1186/s12968-022-00890-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 08/03/2022] [Accepted: 09/28/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) is an important diagnostic test used in the evaluation of patients with heart failure (HF). However, the demographics and clinical characteristics of those undergoing CMR for evaluation of HF are unknown. Further, the impact of CMR on subsequent HF patient care is unclear. The goal of this study was to describe the characteristics of patients undergoing CMR for HF and to determine the extent to which CMR leads to changes in downstream patient management by comparing pre-CMR indications and post-CMR diagnoses. METHODS We utilized the Society for Cardiovascular Magnetic Resonance (SCMR) Registry as our data source and abstracted data for patients undergoing CMR scanning for HF indications from 2013 to 2019. Descriptive statistics (percentages, proportions) were performed on key CMR and clinical variables of the patient population. The Fisher's exact test was used when comparing categorical variables. The Wilcoxon rank sum test was used to compare continuous variables. RESULTS 3,837 patients were included in our study. 94% of the CMRs were performed in the United States with China, South Korea and India also contributing cases. Median age of HF patients was 59.3 years (IQR, 47.1, 68.3 years) with 67% of the scans occurring on women. Almost 2/3 of the patients were scanned on 3T CMR scanners. Overall, 49% of patients who underwent CMR scanning for HF had a change between the pre-test indication and post CMR diagnosis. 53% of patients undergoing scanning on 3T had a change between the pre-test indication and post CMR diagnosis when compared to 44% of patients who were scanned on 1.5T (p < 0.01). CONCLUSION Our results suggest a potential impact of CMR scanning on downstream diagnosis of patients referred for CMR for HF, with a larger potential impact on those scanned on 3T CMR scanners.
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Affiliation(s)
- Idan Roifman
- Schulich Heart Program, Sunnybrook Health Sciences Center, University of Toronto, Toronto, On, Canada.
- Echocardiography laboratory, Sunnybrook Health Sciences Center Scientist, Sunnybrook Research Institute, Institute for Clinical Evaluative Sciences, Department of Medicine, Canadian Society for Cardiovascular Magnetic Resonance Director, University of Toronto, Toronto, Canada.
| | - Michael Hammer
- Schulich Heart Program, Sunnybrook Health Sciences Center, University of Toronto, Toronto, On, Canada
| | - John Sparkes
- Schulich Heart Program, Sunnybrook Health Sciences Center, University of Toronto, Toronto, On, Canada
| | | | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Graham Wright
- Schulich Heart Program, Sunnybrook Health Sciences Center, University of Toronto, Toronto, On, Canada
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The Dysfunctional Right Ventricle in Dilated Cardiomyopathies: Looking from the Right Point of View. J Cardiovasc Dev Dis 2022; 9:jcdd9100359. [PMID: 36286311 PMCID: PMC9605089 DOI: 10.3390/jcdd9100359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/03/2022] [Accepted: 10/16/2022] [Indexed: 11/23/2022] Open
Abstract
Dilated cardiomyopathies (DCMs) are a heterogenous group of primary myocardial diseases, representing one of the leading causes of heart failure, and the main indication for heart transplantation. While the degree of left ventricular dilation and dysfunction are two key determinants of adverse outcomes in DCM patients, right ventricular (RV) remodeling and dysfunction further negatively influence patient prognosis. Consequently, RV functional assessment and diagnosing RV involvement by using an integrative approach based on multimodality imaging is of paramount importance in the evaluation of DCM patients and provides incremental prognostic and therapeutic information. Transthoracic echocardiography remains the first-line imaging modality used for the assessment of the RV, and newer techniques such as speckle-tracking and three-dimensional echocardiography significantly improve its diagnostic and prognostic accuracy. Nonetheless, cardiac magnetic resonance (CMR) is considered the gold standard imaging modality for the evaluation of RV size and function, and all DCM patients should be evaluated by CMR at least once. Accordingly, this review provides a comprehensive overview of the anatomy and function of the RV, and the pathophysiology, diagnosis, and prognostic value of RV dysfunction in DCM patients, based on traditional and novel imaging techniques.
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Stock JD, Rothstein ES, Friedman SE, Gemignani AS, Costa SP, Milbridge AJ, Zhang R, Taub CC, O'Rourke DJ, Palac RT. Lateral annular systolic excursion ratio: A novel measurement of right ventricular systolic function by two-dimensional echocardiography. Front Cardiovasc Med 2022; 9:971302. [PMID: 36119732 PMCID: PMC9479059 DOI: 10.3389/fcvm.2022.971302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/12/2022] [Indexed: 11/13/2022] Open
Abstract
IntroductionAccurate assessment of right ventricular (RV) systolic function has prognostic and therapeutic implications in many disease states. Echocardiography remains the most frequently deployed imaging modality for this purpose, but estimation of RV systolic function remains challenging. The purpose of this study was to evaluate the diagnostic performance of a novel measurement of RV systolic function called lateral annular systolic excursion ratio (LASER), which is the fractional shortening of the lateral tricuspid annulus to apex distance, compared to right ventricular ejection fraction (RVEF) derived by cardiac magnetic resonance imaging (CMR).MethodsA retrospective cohort of 78 consecutive patients who underwent clinically indicated CMR and transthoracic echocardiography within 30 days were identified from a database. Parameters of RV function measured included: tricuspid annular plane systolic excursion (TAPSE) by M-mode, tissue Doppler S', fractional area change (FAC) and LASER. These measurements were compared to RVEF derived by CMR using Pearson's correlation coefficients and receiver operating characteristic curves.ResultsLASER was measurable in 75 (96%) of patients within the cohort. Right ventricular systolic dysfunction, by CMR measurement, was present in 37% (n = 29) of the population. LASER has moderate positive correlation with RVEF (r = 0.54) which was similar to FAC (r = 0.56), S' (r = 0.49) and TAPSE (r = 0.37). Receiver operating characteristic curves demonstrated that LASER (AUC = 0.865) outperformed fractional area change (AUC = 0.767), tissue Doppler S' (AUC = 0.744) and TAPSE (AUC = 0.645). A cohort derived dichotomous cutoff of 0.2 for LASER was shown to provide optimal diagnostic characteristics (sensitivity of 75%, specificity of 87% and accuracy of 83%) for identifying abnormal RV function. LASER had the highest sensitivity, accuracy, positive and negative predictive values among the parameters studied in the cohort.ConclusionsWithin the study cohort, LASER was shown to have moderate positive correlation with RVEF derived by CMR and more favorable diagnostic performance for detecting RV systolic dysfunction compared to conventional echocardiographic parameters while being simple to obtain and less dependent on image quality than FAC and emerging techniques.
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Affiliation(s)
- Jonathan D. Stock
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Eric S. Rothstein
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
- *Correspondence: Eric S. Rothstein
| | - Scott E. Friedman
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Anthony S. Gemignani
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Salvatore P. Costa
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
| | - Andrew J. Milbridge
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Rui Zhang
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Cynthia C. Taub
- Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Daniel J. O'Rourke
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
| | - Robert T. Palac
- Division of Cardiology, White River Junction VA Medical Center, White River Junction, VT, United States
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Pizzino F, Furini G, Casieri V, Mariani M, Bianchi G, Storti S, Chiappino D, Maffei S, Solinas M, Aquaro GD, Lionetti V. Late plasma exosome microRNA-21-5p depicts magnitude of reverse ventricular remodeling after early surgical repair of primary mitral valve regurgitation. Front Cardiovasc Med 2022; 9:943068. [PMID: 35966562 PMCID: PMC9373041 DOI: 10.3389/fcvm.2022.943068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/04/2022] [Indexed: 12/11/2022] Open
Abstract
Introduction Primary mitral valve regurgitation (MR) results from degeneration of mitral valve apparatus. Mechanisms leading to incomplete postoperative left ventricular (LV) reverse remodeling (Rev-Rem) despite timely and successful surgical mitral valve repair (MVR) remain unknown. Plasma exosomes (pEXOs) are smallest nanovesicles exerting early postoperative cardioprotection. We hypothesized that late plasma exosomal microRNAs (miRs) contribute to Rev-Rem during the late postoperative period. Methods Primary MR patients (n = 19; age, 45-71 years) underwent cardiac magnetic resonance imaging and blood sampling before (T0) and 6 months after (T1) MVR. The postoperative LV Rev-Rem was assessed in terms of a decrease in LV end-diastolic volume and patients were stratified into high (HiR-REM) and low (LoR-REM) LV Rev-Rem subgroups. Isolated pEXOs were quantified by nanoparticle tracking analysis. Exosomal microRNA (miR)-1, -21-5p, -133a, and -208a levels were measured by RT-qPCR. Anti-hypertrophic effects of pEXOs were tested in HL-1 cardiomyocytes cultured with angiotensin II (AngII, 1 μM for 48 h). Results Surgery zeroed out volume regurgitation in all patients. Although preoperative pEXOs were similar in both groups, pEXO levels increased after MVR in HiR-REM patients (+0.75-fold, p = 0.016), who showed lower cardiac mass index (-11%, p = 0.032). Postoperative exosomal miR-21-5p values of HiR-REM patients were higher than other groups (p < 0.05). In vitro, T1-pEXOs isolated from LoR-REM patients boosted the AngII-induced cardiomyocyte hypertrophy, but not postoperative exosomes of HiR-REM. This adaptive effect was counteracted by miR-21-5p inhibition. Summary/Conclusion High levels of miR-21-5p-enriched pEXOs during the late postoperative period depict higher LV Rev-Rem after MVR. miR-21-5p-enriched pEXOs may be helpful to predict and to treat incomplete LV Rev-Rem after successful early surgical MVR.
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Affiliation(s)
- Fausto Pizzino
- Unit of Translational Critical Care Medicine, Scuola Superiore Sant'Anna, Pisa, Italy.,Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Giulia Furini
- Unit of Translational Critical Care Medicine, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Valentina Casieri
- Unit of Translational Critical Care Medicine, Scuola Superiore Sant'Anna, Pisa, Italy
| | | | | | | | | | | | | | | | - Vincenzo Lionetti
- Unit of Translational Critical Care Medicine, Scuola Superiore Sant'Anna, Pisa, Italy.,Fondazione Toscana Gabriele Monasterio, Pisa, Italy
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Apert A, Canu M, Jankowski A, Riou L, Broisat A, Charlon C, Augier C, Boignard A, Leenhardt J, Salvat M, Casset C, Maurin M, Saunier C, Vanzetto G, Fagret D, Ghezzi C, Djaileb L, Barone-Rochette G. Comparison of Cadmium Zinc Telluride ECG-gated SPECT equilibrium radionuclide angiocardiography to magnetic resonance imaging to measure right ventricular volumes and ejection fraction in patients with cardiomyopathy. J Nucl Cardiol 2022; 29:1647-1656. [PMID: 33988809 DOI: 10.1007/s12350-021-02653-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 04/13/2021] [Indexed: 11/26/2022]
Abstract
AIMS The objective of this study was to determine the accuracy of right ventricular function (RVF) assessed by Cadmium Zinc Telluride ECG-gated SPECT equilibrium radionuclide angiocardiography (CZT-ERNA). METHODS AND RESULTS Twenty-one consecutive patients with cardiomyopathy (aged 54 ± 19 years; 62% male) were included. RV ejection fraction (EF) and volumes were analyzed by CZT-ERNA and compared with values obtained by cardiac magnetic resonance imaging (CMR). Mean values were not different between CZT-ERNA and MRI for RVEF (48.1 ± 10.4% vs 50.8 ± 10.0%; P = .23). Significant correlations (P < .0001) were observed between CZT-ERNA and MRI for RVEF, RV end-diastolic volume, and end-systolic volume (r = 0.81, r = 0.93, and r = 0.96, respectively). Bland-Altman analysis showed a mean difference (bias) between CZT-ERNA and MRI for RVEF of -2.69% (95% CI - 5.35 to - 0.42) with good agreement between the 2 techniques (limits of agreement, -14.3 to 8.99). Intraobserver and interobserver reproducibility of RVF measured by CZT-ERNA was high. CONCLUSION CZT-ERNA provides accurate, reproducible assessment of RVF and appears as a good alternative to cardiac magnetic resonance for the evaluation of the magnitude of RVF in patients with cardiomyopathy.
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Affiliation(s)
- Antoine Apert
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Marjorie Canu
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Adrien Jankowski
- Department of Radiology, University Hospital, Grenoble Alpes, France
| | - Laurent Riou
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
| | - Alexis Broisat
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
| | - Clemence Charlon
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Caroline Augier
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Aude Boignard
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Julien Leenhardt
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
- Department of Nuclear Medicine, University Hospital, Grenoble Alpes, France
| | - Muriel Salvat
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Charlotte Casset
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Marion Maurin
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Carole Saunier
- Department of Cardiology, University Hospital, Grenoble Alpes, France
| | - Gerald Vanzetto
- Department of Cardiology, University Hospital, Grenoble Alpes, France
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
- French Alliance Clinical Trial, French Clinical Research Infrastructure Network, Paris, France
| | - Daniel Fagret
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
- Department of Nuclear Medicine, University Hospital, Grenoble Alpes, France
| | - Catherine Ghezzi
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
| | - Loic Djaileb
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France
- Department of Nuclear Medicine, University Hospital, Grenoble Alpes, France
| | - Gilles Barone-Rochette
- Department of Cardiology, University Hospital, Grenoble Alpes, France.
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, LRB, Grenoble, 38000, France.
- French Alliance Clinical Trial, French Clinical Research Infrastructure Network, Paris, France.
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Arrhythmogenic cardiomyopathy and differential diagnosis with physiological right ventricular remodelling in athletes using cardiovascular magnetic resonance. Int J Cardiovasc Imaging 2022; 38:2723-2732. [DOI: 10.1007/s10554-022-02684-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/22/2022] [Indexed: 11/25/2022]
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Hashimoto G, Enriquez-Sarano M, Stanberry LI, Oh F, Wang M, Acosta K, Sato H, Lopes BBC, Fukui M, Garcia S, Goessl M, Sorajja P, Bapat VN, Lesser J, Cavalcante JL. Association of Left Ventricular Remodeling Assessment by Cardiac Magnetic Resonance With Outcomes in Patients With Chronic Aortic Regurgitation. JAMA Cardiol 2022; 7:924-933. [PMID: 35857306 DOI: 10.1001/jamacardio.2022.2108] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Importance Chronic aortic regurgitation (AR) causes left ventricular (LV) volume overload, which results in progressive LV remodeling negatively affecting outcomes. Whether cardiac magnetic resonance (CMR) volumetric quantification can provide incremental risk stratification over standard clinical and echocardiographic evaluation in patients with chronic moderate or severe AR is unknown. Objective To compare LV remodeling measurements by CMR and echocardiography between patients with and without heart failure symptoms and to verify the association of remodeling measurements of patients with chronic moderate or severe AR but no or minimal symptoms with clinical outcomes receiving medical management. Design, Setting, and Participants This multicenter retrospective cohort study included consecutive patients with at least moderate chronic native AR evaluated by 2-dimensional transthoracic echocardiography and CMR examination within 90 days from each other between January 2012 and February 2020 at Allina Health System. Data were analyzed from June 2021 to January 2022. Exposures Clinical evaluation and risk stratification by CMR. Main Outcomes and Measures The end point was a composite of death, heart failure hospitalization, or progression of New York Heart Association functional class while receiving medical management, censoring patients at the time of aortic valve replacement (when performed) or at the end of follow-up. Results Of the 178 included patients, 119 (66.9%) were male, 158 (88.8%) presented with no or minimal symptoms (New York Heart Association class I or II), and the median (IQR) age was 58 (44-69) years. Compared with patients with no or minimal symptoms, symptomatic patients had greater LV end-systolic volume index (LVESVi) by CMR (median [IQR], 66 [46-85] mL/m2 vs 42 [30-58] mL/m2; P < .001), while there were no significant differences by echocardiography (LVESVi: median [IQR], 38 [30-58] mL/m2 vs 27 [20-42] mL/m2; P = .07; LV end-systolic diameter index: median [IQR], 21 [17-25] mm/m2 vs 18 [15-22] mm/m2; P = .17). During the median (IQR) follow-up of 3.3 (1.6-5.8) years, 50 patients with no or minimal symptoms receiving medical management developed the composite end point, which, in multivariate analysis adjusted for age and EuroSCORE II, was independently associated with LVESVi of 45 mL/m2 or greater and aortic regurgitant fraction of 32% or greater, the latter adding incremental prognostic value to CMR volumetric assessment. Conclusions and Relevance In patients with chronic moderate or severe AR, patients presenting with heart failure symptoms have greater LVESVi by CMR than those with no or minimal symptoms. In patients with no or minimal symptoms, CMR quantification of LVESVi and AR severity may identify those at risk of death or incident heart failure and therefore should be considered in the clinical evaluation and decision-making of these patients.
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Affiliation(s)
- Go Hashimoto
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Maurice Enriquez-Sarano
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - Larissa I Stanberry
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Felix Oh
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Matthew Wang
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Keith Acosta
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Hirotomo Sato
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Bernardo B C Lopes
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Miho Fukui
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | - Santiago Garcia
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - Mario Goessl
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - Paul Sorajja
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - Vinayak N Bapat
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - John Lesser
- Valve Science Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - João L Cavalcante
- Cardiovascular Imaging Research Center and Core Lab, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.,Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota
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Vermes E, Iacuzio L, Levy F, Bohbot Y, Renard C, Gerber B, Maréchaux S, Tribouilloy C. Role of Cardiovascular Magnetic Resonance in Native Valvular Regurgitation: A Comprehensive Review of Protocols, Grading of Severity, and Prediction of Valve Surgery. Front Cardiovasc Med 2022; 9:881141. [PMID: 35872899 PMCID: PMC9300884 DOI: 10.3389/fcvm.2022.881141] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/07/2022] [Indexed: 11/15/2022] Open
Abstract
Valvular regurgitation is common in developed countries with an increasing prevalence due to the aging of the population and more accurate diagnostic imaging methods. Echocardiography is the gold standard method for the assessment of the severity of valvular heart regurgitation. Nonetheless, cardiovascular magnetic resonance (CMR) has emerged as an additional tool for assessing mainly the severity of aortic and mitral valve regurgitation in the setting of indeterminate findings by echocardiography. Moreover, CMR is a valuable imaging modality to assess ventricular volume and flow, which are useful in the calculation of regurgitant volume and regurgitant fraction of mitral valve regurgitation, aortic valve regurgitation, tricuspid valve regurgitation, and pulmonary valve regurgitation. Notwithstanding this, reference values and optimal thresholds to determine the severity and prognosis of valvular heart regurgitation have been studied lesser by CMR than by echocardiography. Hence, further larger studies are warranted to validate the potential prognostic relevance of the severity of valvular heart regurgitation determined by CMR. The present review describes, analyzes, and discusses the use of CMR to determine the severity of valvular heart regurgitation in clinical practice.
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Affiliation(s)
- Emmanuelle Vermes
- Department of Cardiology, Amiens University Hospital, Amiens, France
- *Correspondence: Emmanuelle Vermes,
| | - Laura Iacuzio
- Department of Cardiology, Center Cardio-Thoracique de Monaco, Monaco, Monaco
| | - Franck Levy
- Department of Cardiology, Center Cardio-Thoracique de Monaco, Monaco, Monaco
| | - Yohann Bohbot
- Department of Cardiology, Amiens University Hospital, Amiens, France
- UR UPJV 7517, Jules Verne University of Picardie, Amiens, France
| | - Cédric Renard
- Department of Radiology, Amiens University Hospital, Amiens, France
| | - Bernhard Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium
| | - Sylvestre Maréchaux
- Department of Cardiology, Heart Valve Center, Lille Catholic University Hospital, Lille, France
| | - Christophe Tribouilloy
- Department of Cardiology, Amiens University Hospital, Amiens, France
- UR UPJV 7517, Jules Verne University of Picardie, Amiens, France
- Christophe Tribouilloy,
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Vejpongsa P, Xu J, Quinones MA, Shah DJ, Zoghbi WA. Differences in Cardiac Remodeling in Left-Sided Valvular Regurgitation: Implications for Optimal Definition of Significant Aortic Regurgitation. JACC. CARDIOVASCULAR IMAGING 2022; 15:1730-1741. [PMID: 35842362 DOI: 10.1016/j.jcmg.2022.05.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/20/2022] [Accepted: 05/19/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Grading of aortic regurgitation (AR) and mitral regurgitation (MR) is similar in the cardiology guidelines despite distinct differences in left ventricular (LV) adaptive pathophysiology. OBJECTIVES This study compared differences in LV remodeling in patients with similar degrees of AR and MR severity and evaluated optimal cutoffs for significant AR in relation to the outcome of aortic valve replacement or repair (AVR) during follow-up. METHODS From 2008 to 2018, consecutive patients with isolated AR or MR who had cardiovascular magnetic resonance (CMR) were identified and CMR parameters were compared. Patients with left ventricular ejection fraction (LVEF) <50%, ischemic scar >5%, valve stenosis, or concomitant regurgitation were excluded. Patients were followed longitudinally for AVR. RESULTS Baseline characteristics of isolated AR (n = 418) and isolated MR (n = 1,073) were comparable except for higher male proportion and hypertension in AR, while heart failure was more prevalent in MR. Indexed LV end-diastolic and end-systolic volumes and mass were higher in AR compared with MR at the same level of regurgitant fraction. During follow-up (mean 2.1 years), 18.7% of AR patients underwent AVR based on symptoms or LV remodeling. Interestingly, 38.0% of patients that underwent AVR within 3 months after CMR did not meet severe AVR by current guidelines of AR severity. AR regurgitant fraction>35% had high sensitivity (86%) and specificity (88%) for identifying patients who underwent AVR. CONCLUSIONS For similar regurgitation severity, LV remodeling is different in AR compared with MR. Cardiac symptoms and significant LV remodeling in AR requiring AVR occur frequently in patients with less severity than currently proposed. The study findings suggest that the optimal threshold for severe AR with CMR is different than MR and is lower than currently stated in the guidelines.
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Affiliation(s)
- Pimprapa Vejpongsa
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Jiaqiong Xu
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas, USA
| | - Miguel A Quinones
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - William A Zoghbi
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
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Kaolawanich Y, Boonyasirinant T. Prognostic Value of Adenosine Stress Perfusion Cardiac Magnetic Resonance Imaging in Older Adults with Known or Suspected Coronary Artery Disease. Arq Bras Cardiol 2022; 119:97-106. [PMID: 35830106 PMCID: PMC9352122 DOI: 10.36660/abc.20210530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 11/10/2021] [Indexed: 12/12/2022] Open
Abstract
Fundamento: Há dados limitados sobre o valor prognóstico da ressonância magnética cardíaca (RMC) em estresse em pacientes idosos. Objetivo: Determinar o valor prognóstico da RMC em estresse com adenosina em idosos com doença arterial coronariana (DAC) conhecida ou suspeita. Métodos: Entre 2010 e 2015, pacientes consecutivos com 65 anos ou mais encaminhados para RMC em estresse com adenosina foram acompanhados para a ocorrência de eventos cardíacos graves (morte cardíaca e infarto do miocárdio não-fatal) e eventos cardiovasculares adversos maiores (ECAM) que também incluíram hospitalização por insuficiência cardíaca e acidente vascular cerebral isquêmico. As análises univariadas e multivariadas foram realizadas para determinar o valor prognóstico da isquemia miocárdica, com valor de p <0,05 considerado estatisticamente significante. Resultados: Após um período médio de seguimento de 50,4 meses em 324 pacientes (48% do sexo masculino, 73±7 anos), ocorreram 21 eventos cardíacos graves e 52 ECAM. Pacientes com isquemia miocárdica (n=99) apresentaram taxas significantemente maiores de eventos cardíacos graves (HR 5,25 [IC 95% 2,11-13,04], p<0,001) e ECAM (HR 3,01 [IC 95% 1,75-5,20], p<0,001) do que aqueles sem isquemia. A análise multivariada determinou a isquemia como preditor independente de eventos cardíacos graves (HR 3,14 [IC 95% 1,22-8,07], p=0,02) e ECAM (HR 1,91 [IC 95% 1,02-3,59], p=0,04). A isquemia forneceu um valor prognóstico incremental sobre fatores clínicos e fração de ejeção do ventrículo esquerdo para predizer eventos cardíacos graves e ECAM (p<0,01 para ambos). Nenhum evento adverso grave ocorreu durante ou imediatamente após os exames de RMC. Conclusão: A RMC em estresse com adenosina é segura e demonstra valor prognóstico em idosos com DAC conhecida ou suspeita.
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Affiliation(s)
- Yodying Kaolawanich
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok - Tailândia
| | - Thananya Boonyasirinant
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok - Tailândia
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Edvardsen T, Asch FM, Davidson B, Delgado V, DeMaria A, Dilsizian V, Gaemperli O, Garcia MJ, Kamp O, Lee DC, Neglia D, Neskovic AN, Pellikka PA, Plein S, Sechtem U, Shea E, Sicari R, Villines TC, Lindner JR, Popescu BA. Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J Cardiovasc Comput Tomogr 2022; 16:362-383. [PMID: 35729014 DOI: 10.1016/j.jcct.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, University of Oslo, Oslo, Norway.
| | - Federico M Asch
- MedStar Health Research Institute, Georgetown University, Washington, District of Columbia
| | - Brian Davidson
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; VA Portland Health Care System, Portland, Oregon
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Vasken Dilsizian
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, Baltimore, Maryland
| | | | - Mario J Garcia
- Division of Cardiology, Montefiore-Einstein Center for Heart and Vascular Care, Bronx, New York
| | - Otto Kamp
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Daniel C Lee
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Danilo Neglia
- Department of Cardiology, Istituto di Scienze della Vita Scuola Superiore Sant Anna Pisa, Pisa, Italy
| | - Aleksandar N Neskovic
- Faculty of Medicine, Department of Cardiology, Clinical Hospital Center Zemun, University of Belgrade, Belgrade, Serbia
| | - Patricia A Pellikka
- Division of Cardiovascular Ultrasound, Department of Cardiovascular Medicine, Rochester, Minnesota
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Udo Sechtem
- Cardiologicum Stuttgart and Department of Cardiology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Elaine Shea
- Alta Bates Summit Medical Center, Berkeley and Oakland, Berkeley, California
| | - Rosa Sicari
- CNR, Institute of Clinical Physiology, Pisa, Italy
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, University of Virginia Health Center, Charlottesville, Virginia
| | - Jonathan R Lindner
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy Carol Davila Euroecolab, Emergency Institute for Cardiovascular Diseases Prof. Dr. C. C. Iliescu, Bucharest, Romania
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Cornhill AK, Dykstra S, Satriano A, Labib D, Mikami Y, Flewitt J, Prosio E, Rivest S, Sandonato R, Howarth AG, Lydell C, Eastwood CA, Quan H, Fine N, Lee J, White JA. Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information. Front Cardiovasc Med 2022; 9:890904. [PMID: 35783851 PMCID: PMC9245012 DOI: 10.3389/fcvm.2022.890904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundHeart failure (HF) hospitalization is a dominant contributor of morbidity and healthcare expenditures in patients with systolic HF. Cardiovascular magnetic resonance (CMR) imaging is increasingly employed for the evaluation of HF given capacity to provide highly reproducible phenotypic markers of disease. The combined value of CMR phenotypic markers and patient health information to deliver predictions of future HF events has not been explored. We sought to develop and validate a novel risk model for the patient-specific prediction of time to HF hospitalization using routinely reported CMR variables, patient-reported health status, and electronic health information.MethodsStandardized data capture was performed for 1,775 consecutive patients with chronic systolic HF referred for CMR imaging. Patient demographics, symptoms, Health-related Quality of Life, pharmacy, and routinely reported CMR features were provided to both machine learning (ML) and competing risk Fine-Gray-based models (FGM) for the prediction of time to HF hospitalization.ResultsThe mean age was 59 years with a mean LVEF of 36 ± 11%. The population was evenly distributed between ischemic (52%) and idiopathic non-ischemic cardiomyopathy (48%). Over a median follow-up of 2.79 years (IQR: 1.59–4.04) 333 patients (19%) experienced HF related hospitalization. Both ML and competing risk FGM based models achieved robust performance for the prediction of time to HF hospitalization. Respective 90-day, 1 and 2-year AUC values were 0.87, 0.83, and 0.80 for the ML model, and 0.89, 0.84, and 0.80 for the competing risk FGM-based model in a holdout validation cohort. Patients classified as high-risk by the ML model experienced a 34-fold higher occurrence of HF hospitalization at 90 days vs. the low-risk group.ConclusionIn this study we demonstrated capacity for routinely reported CMR phenotypic markers and patient health information to be combined for the delivery of patient-specific predictions of time to HF hospitalization. This work supports an evolving migration toward multi-domain data collection for the delivery of personalized risk prediction at time of diagnostic imaging.
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Affiliation(s)
- Aidan K. Cornhill
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Steven Dykstra
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Alessandro Satriano
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Dina Labib
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Yoko Mikami
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Jacqueline Flewitt
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Easter Prosio
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Sandra Rivest
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Rosa Sandonato
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
| | - Andrew G. Howarth
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Carmen Lydell
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Diagnostic Imaging, University of Calgary, Calgary, AB, Canada
| | - Cathy A. Eastwood
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Hude Quan
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Nowell Fine
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Joon Lee
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Cardiac Science, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - James A. White
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- *Correspondence: James A. White,
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Mahmod M, Raman B, Chan K, Sivalokanathan S, Smillie RW, Samat AHA, Ariga R, Dass S, Ormondroyd E, Watkins H, Neubauer S. Right ventricular function declines prior to left ventricular ejection fraction in hypertrophic cardiomyopathy. J Cardiovasc Magn Reson 2022; 24:36. [PMID: 35692049 PMCID: PMC9190122 DOI: 10.1186/s12968-022-00868-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 05/19/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The right ventricle (RV) in hypertrophic cardiomyopathy (HCM) tends to be neglected, as previous efforts have predominantly focused on examining the prognostic value of left ventricular (LV) abnormalities. The objectives of this study were to assess RV function in HCM, changes over time, and association with clinical outcomes. METHODS Two hundred and ninety HCM patients with preserved LV ejection fraction (LVEF ≥ 55%) and 30 age- and sex-matched controls underwent cardiovascular magnetic resonance (CMR). All patients were followed up for clinical events for a median duration of 4.4 years. Sixty-three patients had a follow-up CMR undertaken at a median interval of 5.4 years. Main study measures and outcomes were RV function (RV ejection fraction (RVEF) and RV strain) at baseline, temporal changes in RV function over time and prognostic value of RV dysfunction for predicting cardiovascular outcomes in HCM. RESULTS When compared to controls, HCM patients exhibited lower RV and LV peak global longitudinal systolic strains on feature-tracking analysis of cine images, while RVEF and LVEF were within the normal range. On follow-up CMR, both RV and LV strain parameters decreased over time. RVEF decreased at follow-up (65 ± 7% to 62 ± 7%, P < 0.001) but the change in LVEF was not significant (68 ± 10% to 66 ± 8%, P = 0.30). On clinical follow up, reduced RVEF was an independent predictor of non-sustained ventricular tachycardia (NSVT) [HR 1.10 (95% CI 1.06-1.15), P < 0.001] and composite cardiovascular events (NSVT, stroke, heart failure hospitalisation and cardiovascular death) [HR 1.07 (95% CI 1.03-1.10), P < 0.001]. RV longitudinal strain was an independent predictor of NSVT [HR 1.05 (95% CI 1.01-1.09), P = 0.029]. Patients with RVEF < 55% showed an increased risk of NSVT and composite cardiovascular events. In contrast, LVEF and LV global longitudinal strain were not predictive of such events on multivariable analysis. CONCLUSIONS In HCM, RV function, including RV strain, and LV strain decrease over time despite preserved LVEF. Reduction in RV but not LV function is associated with adverse cardiovascular outcomes. Assessing RV function in early HCM disease might have a role in risk stratification to prevent future cardiovascular events.
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Affiliation(s)
- Masliza Mahmod
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Kenneth Chan
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Sanjay Sivalokanathan
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Robert W Smillie
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Azlan H Abd Samat
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Rina Ariga
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Sairia Dass
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
| | - Elizabeth Ormondroyd
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK
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Ladouceur M, Van De Bruaene A, Kauling R, Budts W, Roos-Hesselink J, Villagrá Albert S, Sanchez Perez I, Sarubbi B, Fusco F, Gallego P, Rodriguez-Puras MJ, Bouchardy J, Blanche C, Rutz T, Prokselj K, Labombarda F, Iserin L, Wong T, Gatzoulis MA. A new score for life-threatening ventricular arrhythmias and sudden cardiac death in adults with transposition of the great arteries and a systemic right ventricle. Eur Heart J 2022; 43:2685-2694. [PMID: 35673927 DOI: 10.1093/eurheartj/ehac288] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 04/18/2022] [Accepted: 05/18/2022] [Indexed: 01/18/2023] Open
Abstract
AIMS To investigate the incidence of major adverse ventricular arrhythmias and related events (MAREs) and to develop a stratification tool predicting MAREs in adults with a systemic right ventricle (sRV). METHODS AND RESULTS In a multicentre approach, all adults (≥16 years old) with a sRV undergoing follow-up between 2000 and 2018 were identified. The incidence of MAREs, defined as sudden cardiac death, sustained ventricular tachycardia, and appropriate implantable cardioverter-defibrillator (ICD) therapy, was analysed. The association of MAREs with clinical, electrical, and echocardiographic parameters was evaluated. A total of 1184 patients (median age 27.1 years; interquartile range 19.9-34.9 years; 59% male; 70% with atrial switch repair for D-transposition of the great arteries) were included. The incidence of MAREs was 6.3 per 1000 patient-years. On multivariate analysis, age, history of heart failure, syncope, QRS duration, severe sRV dysfunction and at least moderate left ventricular outflow tract obstruction were retained in the final model with a C-index of 0.78 [95% confidence interval (CI) 0.72-0.83] and a calibration slope of 0.93 (95% CI 0.64-1.21). For every five ICDs implanted in patients with a 5-year MARE risk >10%, one patient may potentially be spared from a MARE. CONCLUSION Sudden cardiac death remains a devastating cause of death in a contemporary adult cohort with a sRV. A prediction model based on clinical, electrocardiographic, and echocardiographic parameters was devised to estimate MARE risk and to identify high-risk patients who may benefit from primary prevention ICD implantation.
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Affiliation(s)
- Magalie Ladouceur
- Centre de référence des Malformations Cardiaques Congénitales Complexes, M3C, Adult Congenital Heart Disease Unit, Hôpital Européen Georges Pompidou, APHP, Paris Cité University, Paris 75015, France.,Centre de Recherche Cardiovasculaire de Paris, INSERM U970, 20 rue Leblanc, Paris 75015, France
| | - Alexander Van De Bruaene
- Division of Congenital and Structural Cardiology, University Hospitals Leuven, and Catholic University Leuven, Leuven, Belgium
| | - Robert Kauling
- Department of Cardiology, Thoraxcenter, ErasmusMC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Werner Budts
- Division of Congenital and Structural Cardiology, University Hospitals Leuven, and Catholic University Leuven, Leuven, Belgium
| | - Jolien Roos-Hesselink
- Department of Cardiology, Thoraxcenter, ErasmusMC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | | | - Berardo Sarubbi
- Adult Congenital Heart Disease Unit, AORN dei Colli-Monaldi Hospital, Naples, Italy
| | - Flavia Fusco
- Adult Congenital Heart Disease Unit, AORN dei Colli-Monaldi Hospital, Naples, Italy
| | - Pastora Gallego
- Adult Congenital Heart Disease Unit, Department of Cardiology, Hospital Universitario Virgen del Rocio, Instituto de BioMedicina de Sevilla (IBIS) and CIBERCV, Sevilla, Spain
| | - Maria-Jose Rodriguez-Puras
- Adult Congenital Heart Disease Unit, Department of Cardiology, Hospital Universitario Virgen del Rocio, Instituto de BioMedicina de Sevilla (IBIS) and CIBERCV, Sevilla, Spain
| | - Judith Bouchardy
- Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Service de Cardiologie, Département de Médecine, Hôpitaux Universitaires de Genève, 1205 Genève, Switzerland
| | - Coralie Blanche
- Service de Cardiologie, Département de Médecine, Hôpitaux Universitaires de Genève, 1205 Genève, Switzerland
| | - Tobias Rutz
- Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Katja Prokselj
- Department of Cardiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Fabien Labombarda
- Cardiology Department, CHU de Caen, Caen, France.,UNICAEN, EA 4650 Caen, France
| | - Laurence Iserin
- Centre de référence des Malformations Cardiaques Congénitales Complexes, M3C, Adult Congenital Heart Disease Unit, Hôpital Européen Georges Pompidou, APHP, Paris Cité University, Paris 75015, France.,Centre de Recherche Cardiovasculaire de Paris, INSERM U970, 20 rue Leblanc, Paris 75015, France
| | - Tom Wong
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College School of Medicine, London, UK
| | - Michael A Gatzoulis
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College School of Medicine, London, UK
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50
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Aung N, Vargas JD, Yang C, Fung K, Sanghvi MM, Piechnik SK, Neubauer S, Manichaikul A, Rotter JI, Taylor KD, Lima JAC, Bluemke DA, Kawut SM, Petersen SE, Munroe PB. Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function. Nat Genet 2022; 54:783-791. [PMID: 35697868 DOI: 10.1038/s41588-022-01083-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 04/22/2022] [Indexed: 01/03/2023]
Abstract
Right ventricular (RV) structure and function influence the morbidity and mortality from coronary artery disease (CAD), dilated cardiomyopathy (DCM), pulmonary hypertension and heart failure. Little is known about the genetic basis of RV measurements. Here we perform genome-wide association analyses of four clinically relevant RV phenotypes (RV end-diastolic volume, RV end-systolic volume, RV stroke volume, RV ejection fraction) from cardiovascular magnetic resonance images, using a state-of-the-art deep learning algorithm in 29,506 UK Biobank participants. We identify 25 unique loci associated with at least one RV phenotype at P < 2.27 ×10-8, 17 of which are validated in a combined meta-analysis (n = 41,830). Several candidate genes overlap with Mendelian cardiomyopathy genes and are involved in cardiac muscle contraction and cellular adhesion. The RV polygenic risk scores (PRSs) are associated with DCM and CAD. The findings substantially advance our understanding of the genetic underpinning of RV measurements.
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Affiliation(s)
- Nay Aung
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Jose D Vargas
- Veterans Affairs Medical Center, Washington, DC, USA.,Georgetown University, Washington, DC, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Kenneth Fung
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Mihir M Sanghvi
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - David A Bluemke
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Steven M Kawut
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Steffen E Petersen
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. .,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK. .,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. .,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.
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