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Birati EY, Grandin EW, Zhang RS, Cabezas F, Rajagopal K, Seigerman M, Padegimas A, Mazurek JA, Kiernan MS, Kapur NK, Atluri P, Oliveira GH, Pagani FD, Myers SL, Teuteberg J, Kormos RL, Kirklin JK, Acker MA, Eduardo Rame J. Outcomes following isolated right ventricular assist device as durable support for primary right heart failure: An INTERMACS analysis. JHLT OPEN 2025; 8:100258. [PMID: 40276318 PMCID: PMC12018192 DOI: 10.1016/j.jhlto.2025.100258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2025]
Abstract
Outcomes with isolated right ventricular assist devices (iRVAD) using pumps designed for the left ventricle are not well described. This study compares the clinical characteristics and outcomes of iRVAD patients to those patients treated with left ventricular assist device (LVAD) and biventricular assist devices (BiVAD). This study consisted of patients who received iRVAD from the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) registry (2006-2017). The primary outcome was 2-year survival. Of 20,789 patients, 26 (0.13%) received iRVAD, 17 with pulsatile flow and 9 with continuous-flow devices. Device strategy was bridge to recovery/rescue therapy in 9 (35%), bridge to transplant/decision in 14 (52%), and destination therapy in 3 (12%). Twelve (46%) patients were INTERMACS profile 1, 5 patients (19%) required extracorporeal membrane oxygenation, and 13 (50%) needed mechanical ventilation. Two-year survival for patients with iRVAD (41.3%) was similar to BiVAD (45.2%) and significantly lower than LVAD (69.0%). In patients with isolated right-sided failure, long-term iRVAD support is feasible.
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Affiliation(s)
- Edo Y. Birati
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Cardiology, Tzafon (Poriya) Medical Center, Azrieli Faculty of Medicine, Bar Ilan University, Ramat Gan, Israel
| | - E. Wilson Grandin
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Robert S. Zhang
- Division of Cardiovascular Medicine, Weill Cornell Medicine, New York, New York
| | - Fausto Cabezas
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Keshava Rajagopal
- Division of Cardiac Surgery, Department of Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Matthew Seigerman
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Allison Padegimas
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeremy A. Mazurek
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Navin K. Kapur
- Division of Cardiology, Tufts Medical Center, Boston, Massachusetts
| | - Pavan Atluri
- Division of Cardiothoracic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Guilherme H. Oliveira
- Division of Cardiology, Tampa General Hospital, Morsani College of Medicine, Tampa, Florida
| | - Francis D. Pagani
- Division of Cardiothoracic Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Susan L. Myers
- Division of Cardiothoracic Surgery, University of Alabama Birmingham School of Medicine, Birmingham, Alabama
| | - Jeffrey Teuteberg
- Division of Cardiology, Stanford University Hospital, Palo Alto, California
| | | | - James K. Kirklin
- Division of Cardiothoracic Surgery, University of Alabama Birmingham School of Medicine, Birmingham, Alabama
| | - Michael A. Acker
- Division of Cardiothoracic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jesus Eduardo Rame
- Jefferson Bruce and Robbi Toll Heart and Vascular Institute, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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Gulhane A, Ordovas K. Cardiac magnetic resonance assessment of cardiac involvement in autoimmune diseases. Front Cardiovasc Med 2023; 10:1215907. [PMID: 37808881 PMCID: PMC10556673 DOI: 10.3389/fcvm.2023.1215907] [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: 05/02/2023] [Accepted: 09/11/2023] [Indexed: 10/10/2023] Open
Abstract
Cardiac magnetic resonance (CMR) is emerging as the modality of choice to assess early cardiovascular involvement in patients with autoimmune rheumatic diseases (ARDs) that often has a silent presentation and may lead to changes in management. Besides being reproducible and accurate for functional and volumetric assessment, the strength of CMR is its unique ability to perform myocardial tissue characterization that allows the identification of inflammation, edema, and fibrosis. Several CMR biomarkers may provide prognostic information on the severity and progression of cardiovascular involvement in patients with ARDs. In addition, CMR may add value in assessing treatment response and identification of cardiotoxicity related to therapy with immunomodulators that are commonly used to treat these conditions. In this review, we aim to discuss the following objectives: •Illustrate imaging findings of multi-parametric CMR approach in the diagnosis of cardiovascular involvement in various ARDs;•Review the CMR signatures for risk stratification, prognostication, and guiding treatment strategies in ARDs;•Describe the utility of routine and advanced CMR sequences in identifying cardiotoxicity related to immunomodulators and disease-modifying agents in ARDs;•Discuss the limitations of CMR, recent advances, current research gaps, and potential future developments in the field.
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Affiliation(s)
- Avanti Gulhane
- Department of Radiology, University of Washington, School of Medicine, Seattle, WA, United States
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Macdonald A, Salehi M, Alabed S, Maiter A, Goh ZM, Dwivedi K, Johns C, Cogliano M, Alandejani F, Condliffe R, Wild JM, Kiely DG, Garg P, Swift AJ. Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension. Front Cardiovasc Med 2023; 9:1037385. [PMID: 36684562 PMCID: PMC9845927 DOI: 10.3389/fcvm.2022.1037385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/13/2022] [Indexed: 01/05/2023] Open
Abstract
Objectives Right ventricle (RV) mass is an imaging biomarker of mean pulmonary artery pressure (MPAP) and pulmonary vascular resistance (PVR). Some methods of RV mass measurement on cardiac MRI (CMR) exclude RV trabeculation. This study assessed the reproducibility of measurement methods and evaluated whether the inclusion of trabeculation in RV mass affects diagnostic accuracy in suspected pulmonary hypertension (PH). Materials and methods Two populations were enrolled prospectively. (i) A total of 144 patients with suspected PH who underwent CMR followed by right heart catheterization (RHC). Total RV mass (including trabeculation) and compacted RV mass (excluding trabeculation) were measured on the end-diastolic CMR images using both semi-automated pixel-intensity-based thresholding and manual contouring techniques. (ii) A total of 15 healthy volunteers and 15 patients with known PH. Interobserver agreement and scan-scan reproducibility were evaluated for RV mass measurements using the semi-automated thresholding and manual contouring techniques. Results Total RV mass correlated more strongly with MPAP and PVR (r = 0.59 and 0.63) than compacted RV mass (r = 0.25 and 0.38). Using a diagnostic threshold of MPAP ≥ 25 mmHg, ROC analysis showed better performance for total RV mass (AUC 0.77 and 0.81) compared to compacted RV mass (AUC 0.61 and 0.66) when both parameters were indexed for LV mass. Semi-automated thresholding was twice as fast as manual contouring (p < 0.001). Conclusion Using a semi-automated thresholding technique, inclusion of trabecular mass and indexing RV mass for LV mass (ventricular mass index), improves the diagnostic accuracy of CMR measurements in suspected PH.
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Affiliation(s)
- Alistair Macdonald
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
| | - Mahan Salehi
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
| | - Samer Alabed
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
- INSIGNEO, Institute for in Silico Medicine, The University of Sheffield, Sheffield, United Kingdom
| | - Ahmed Maiter
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
| | - Ze Ming Goh
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
| | - Krit Dwivedi
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, United Kingdom
| | - Chris Johns
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
| | - Marcella Cogliano
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
| | - Faisal Alandejani
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
| | - Robin Condliffe
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, United Kingdom
| | - James M. Wild
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
| | - David G. Kiely
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, United Kingdom
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Andrew J. Swift
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom
- INSIGNEO, Institute for in Silico Medicine, The University of Sheffield, Sheffield, United Kingdom
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4
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Stubbs H, MacLellan A, Lua S, Dormand H, Church C. The right ventricle under pressure: Anatomy and imaging in sickness and health. J Anat 2023; 242:17-28. [PMID: 35285014 PMCID: PMC9773164 DOI: 10.1111/joa.13654] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/28/2022] [Accepted: 03/02/2022] [Indexed: 12/25/2022] Open
Abstract
The right ventricle (RV) is an important structure which serves a multitude of vital physiological functions in health. For many years, the left ventricle has dominated the focus of understanding in both biology and pathophysiology and the RV was felt to be more of a passive structure which rarely had an effect on disease states. However, it is increasingly recognised that the RV is essential to the homoeostasis of normal physiology and disturbances in RV structure and function have a substantial effect on patient outcomes. Indeed, the prognosis of diseases of lung diseases affecting the pulmonary vasculature and left heart disease is intimately linked to the function of the right ventricle. This review sets out to describe the developmental and anatomical complexities of the right ventricle while exploring the modern techniques employed to image and understand its function from a clinical perspective.
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Affiliation(s)
- Harrison Stubbs
- Scottish Pulmonary Vascular Unit, Golden Jubilee National HospitalGlasgowScotland
- University of GlasgowGlasgowScotland
| | - Alexander MacLellan
- Scottish Pulmonary Vascular Unit, Golden Jubilee National HospitalGlasgowScotland
- University of GlasgowGlasgowScotland
| | - Stephanie Lua
- Scottish Pulmonary Vascular Unit, Golden Jubilee National HospitalGlasgowScotland
| | - Helen Dormand
- Scottish Pulmonary Vascular Unit, Golden Jubilee National HospitalGlasgowScotland
| | - Colin Church
- Scottish Pulmonary Vascular Unit, Golden Jubilee National HospitalGlasgowScotland
- University of GlasgowGlasgowScotland
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5
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Alabed S, Saunders L, Garg P, Shahin Y, Alandejani F, Rolf A, Puntmann VO, Nagel E, Wild JM, Kiely DG, Swift AJ. Myocardial T1-mapping and extracellular volume in pulmonary arterial hypertension: A systematic review and meta-analysis. Magn Reson Imaging 2021; 79:66-75. [PMID: 33745961 DOI: 10.1016/j.mri.2021.03.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/10/2021] [Accepted: 03/13/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Elevated myocardial T1-mapping and extracellular volume (ECV) measured on cardiac MR (CMR) imaging is associated with myocardial abnormalities such as oedema or fibrosis. This meta-analysis aims to provide a summary of T1-mapping and ECV values in pulmonary arterial hypertension (PAH) and compare their values with controls. METHODS We searched CENTRAL, MEDLINE, Embase, and Web of Science in August 2020. We included CMR studies reporting T1-mapping or ECV values in adults with any type of PAH. We calculated the mean difference of T1-values and ECV between PAH and controls. RESULTS We included 12 studies with 674 participants. T1-values were significantly higher in PAH with the highest mean difference (MD) recorded at the RV insertion points (RVIP) (108 milliseconds (ms), 95% confidence intervals (CI) 89 to 128), followed by the RV free wall (MD 91 ms, 95% CI 56 to 126). The pooled mean T1-value in PAH at the RVIP was 1084, 95% CI (1071 to 1097) measured using 1.5 Tesla Siemens systems. ECV was also higher in PAH with an MD of 7.5%, 95% CI (5.9 to 9.1) at the RV free wall. CONCLUSION T1 mapping values in PAH patients are on average 9% higher than healthy controls when assessed under the same conditions including the same MRI system, magnetic field strength or sequence used for acquisition. The highest T1 and ECV values are at the RVIP. T1 mapping and ECV values in PH are higher than the values reported in cardiomyopathies and were associated with poor RV function and RV dilatation.
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Affiliation(s)
- Samer Alabed
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK.
| | - Laura Saunders
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Yousef Shahin
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
| | - Faisal Alandejani
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andreas Rolf
- Department of Cardiology, Kerckhoff-Heart Center, Bad Nauheim, Germany
| | - Valentina O Puntmann
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jim M Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK
| | - David G Kiely
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
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6
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Espe EKS, Bendiksen BA, Zhang L, Sjaastad I. Analysis of right ventricular mass from magnetic resonance imaging data: a simple post-processing algorithm for correction of partial-volume effects. Am J Physiol Heart Circ Physiol 2021; 320:H912-H922. [PMID: 33337965 DOI: 10.1152/ajpheart.00494.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/14/2020] [Indexed: 11/22/2022]
Abstract
Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. Here, we propose a novel postprocessing algorithm that corrects for partial-volume effects in the analysis of standard MRI cine images of RV mass (RVm) and evaluate the method in clinical and preclinical data. Self-corrected RVm measurement was compared with conventionally measured RVm in 16 patients who showed different clinical indications for cardiac MRI and in 17 Wistar rats with different degrees of pulmonary congestion. The rats were studied under isoflurane anaesthesia. To evaluate the reliability of the proposed method, the measured end-systolic and end-diastolic RVm were compared. Accuracy was evaluated by comparing preclinical RVm to ex vivo RV weight (RVw). We found that use of the self-correcting algorithm improved reliability compared with conventional segmentation. For clinical data, the limits of agreement (LOAs) were -1.8 ± 8.6g (self-correcting) vs. 5.8 ± 7.8g (conventional), and coefficients of variation (CoVs) were 7.0% (self-correcting) vs. 14.3% (conventional). For preclinical data, LOAs were 21 ± 46 mg (self-correcting) vs. 64 ± 89 mg (conventional), and CoVs were 9.0% (self-correcting) and 17.4% (conventional). Self-corrected RVm also showed better correspondence with the ex vivo RVw: LOAs were -5 ± 80 mg (self-correcting) vs. 94 ± 116 mg (conventional) in end-diastole and -26 ± 74 mg (self-correcting) vs. 31 ± 98 mg (conventional) in end-systole. The new self-correcting algorithm improves the reliability and accuracy of RVm measurements in both clinical and preclinical MRI. It is simple and easy to implement and does not require any additional MRI data.NEW & NOTEWORTHY Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. In particular, the crescent shape of the RV renders it particularly vulnerable to partial-volume effects. We present a new, simple, self-correcting algorithm that can be applied to correct partial-volume effects in MRI-based RV mass estimation. The self-correcting algorithm offers improved reliability and accuracy compared with the conventional approach.
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Affiliation(s)
- Emil K S Espe
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
| | - Bård A Bendiksen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
- Bjørknes University College, Oslo, Norway
| | - Lili Zhang
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
| | - Ivar Sjaastad
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
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Llucià-Valldeperas A, de Man FS, Bogaard HJ. Adaptation and Maladaptation of the Right Ventricle in Pulmonary Vascular Diseases. Clin Chest Med 2021; 42:179-194. [PMID: 33541611 DOI: 10.1016/j.ccm.2020.11.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The right ventricle is coupled to the low-pressure pulmonary circulation. In pulmonary vascular diseases, right ventricular (RV) adaptation is key to maintain ventriculoarterial coupling. RV hypertrophy is the first adaptation to diminish RV wall tension, increase contractility, and protect cardiac output. Unfortunately, RV hypertrophy cannot be sustained and progresses toward a maladaptive phenotype, characterized by dilation and ventriculoarterial uncoupling. The mechanisms behind the transition from RV adaptation to RV maladaptation and right heart failure are unraveled. Therefore, in this article, we explain the main traits of each phenotype, and how some early beneficial adaptations become prejudicial in the long-term.
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Affiliation(s)
- Aida Llucià-Valldeperas
- Department of Pulmonary Medicine, Amsterdam UMC (Location VUMC), De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Frances S de Man
- Department of Pulmonary Medicine, Amsterdam UMC (Location VUMC), De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Harm J Bogaard
- Department of Pulmonary Medicine, Amsterdam UMC (Location VUMC), De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
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8
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Alabed S, Garg P, Johns CS, Alandejani F, Shahin Y, Dwivedi K, Zafar H, Wild JM, Kiely DG, Swift AJ. Cardiac Magnetic Resonance in Pulmonary Hypertension-an Update. CURRENT CARDIOVASCULAR IMAGING REPORTS 2020; 13:30. [PMID: 33184585 PMCID: PMC7648000 DOI: 10.1007/s12410-020-09550-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW This article reviews advances over the past 3 years in cardiac magnetic resonance (CMR) imaging in pulmonary hypertension (PH). We aim to bring the reader up-to-date with CMR applications in diagnosis, prognosis, 4D flow, strain analysis, T1 mapping, machine learning and ongoing research. RECENT FINDINGS CMR volumetric and functional metrics are now established as valuable prognostic markers in PH. This imaging modality is increasingly used to assess treatment response and improves risk stratification when incorporated into PH risk scores. Emerging techniques such as myocardial T1 mapping may play a role in the follow-up of selected patients. Myocardial strain may be used as an early marker for right and left ventricular dysfunction and a predictor for mortality. Machine learning has offered a glimpse into future possibilities. Ongoing research of new PH therapies is increasingly using CMR as a clinical endpoint. SUMMARY The last 3 years have seen several large studies establishing CMR as a valuable diagnostic and prognostic tool in patients with PH, with CMR increasingly considered as an endpoint in clinical trials of PH therapies. Machine learning approaches to improve automation and accuracy of CMR metrics and identify imaging features of PH is an area of active research interest with promising clinical utility.
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Affiliation(s)
- Samer Alabed
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
| | - Christopher S. Johns
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
| | - Faisal Alandejani
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
| | - Yousef Shahin
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
| | - Krit Dwivedi
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
| | - Hamza Zafar
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
| | - James M Wild
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, UK
| | - David G Kiely
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK
- INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, UK
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9
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Giollo A, Dumitru RB, Swoboda PP, Plein S, Greenwood JP, Buch MH, Andrews J. Cardiac magnetic resonance imaging for the detection of myocardial involvement in granulomatosis with polyangiitis. Int J Cardiovasc Imaging 2020; 37:1053-1062. [PMID: 33057879 PMCID: PMC7969556 DOI: 10.1007/s10554-020-02066-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 10/05/2020] [Indexed: 11/25/2022]
Abstract
The prevalence of undiagnosed cardiac involvement in granulomatosis with polyangiitis (GPA) is unknown. In this prospective study we investigated the utility of cardiovascular magnetic resonance (CMR) to identify myocardial abnormalities in GPA and their correlation with disease phenotype. Twenty-six patients with GPA and no cardiovascular disease or diabetes mellitus underwent contrast-enhanced CMR, including late gadolinium-enhancement (LGE), T1-mapping for native T1 and extra-cellular volume (ECV) quantification for assessment of myocardial fibrosis, cine imaging and tissue tagging for assessment of left ventricular (LV) function. Twenty-five healthy volunteers (HV) with comparable age, sex, BMI and arterial blood pressure served as controls. Patients with GPA had similar cardiovascular risk profile to HV. A focal, non-ischaemic LGE pattern of fibrosis was detected in 24% of patients and no controls (p = 0.010). Patients with myocardial LGE were less frequently PR3 ANCA (7% vs 93%, p = 0.007), and had involvement of the lower respiratory tract and skin. LGE scar mass was higher in patients presenting with renal involvement. Native T1 and ECV were higher in patients with GPA than HV; ECV was higher in those with relapsing disease, and native T1 was inversely associated with PR3 ANCA (β = - 0.664, p = 0.001). Peak systolic strain was slightly reduced in GPA compared to controls; LV ejection function was inversely correlated with disease duration (β = - 0.454, p = 0.026). Patients with GPA have significant myocardial abnormalities on CMR. ANCA, systemic involvement and disease severity were associated with myocardial fibrosis. CMR could be a useful tool for risk stratification of myocardial involvement in GPA.
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Affiliation(s)
- Alessandro Giollo
- NIHR Leeds Biomedical Research Centre and Clinical Research Facility, Leeds Teaching Hospitals NHS Trust, Leeds, UK. .,Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK. .,Rheumatology Section, Department of Medicine, University of Verona, Policlinico G.B. Rossi 10, 37134, Verona, Italy.
| | - Raluca B Dumitru
- NIHR Leeds Biomedical Research Centre and Clinical Research Facility, Leeds Teaching Hospitals NHS Trust, Leeds, UK.,Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- NIHR Leeds Biomedical Research Centre and Clinical Research Facility, Leeds Teaching Hospitals NHS Trust, Leeds, UK.,Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - John P Greenwood
- NIHR Leeds Biomedical Research Centre and Clinical Research Facility, Leeds Teaching Hospitals NHS Trust, Leeds, UK.,Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Maya H Buch
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,Centre for Musculoskeletal Research, University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Teaching Hospitals NHS Trust, Manchester, UK
| | - Jacqueline Andrews
- NIHR Leeds Biomedical Research Centre and Clinical Research Facility, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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10
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Sanz J, Sánchez-Quintana D, Bossone E, Bogaard HJ, Naeije R. Anatomy, Function, and Dysfunction of the Right Ventricle. J Am Coll Cardiol 2019; 73:1463-1482. [DOI: 10.1016/j.jacc.2018.12.076] [Citation(s) in RCA: 180] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/12/2018] [Accepted: 12/22/2018] [Indexed: 12/27/2022]
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