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Hrovat M, Kolandaivelu A, Wang Y, Gunderman A, Halperin HR, Chen Y, Schmidt EJ. Balanced-force shim system for correcting magnetic-field inhomogeneities in the heart due to implanted cardioverter defibrillators. Front Med (Lausanne) 2024; 11:1225848. [PMID: 38414618 PMCID: PMC10897050 DOI: 10.3389/fmed.2024.1225848] [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: 05/19/2023] [Accepted: 01/22/2024] [Indexed: 02/29/2024] Open
Abstract
Background In the US, 1.4 million people have implanted ICDs for reducing the risk of sudden death due to ventricular arrhythmias. Cardiac MRI (cMR) is of particular interest in the ICD patient population as cMR is the optimal imaging modality for distinguishing cardiac conditions that predispose to sudden death, and it is the best method to plan and guide therapy. However, all ICDs contain a ferromagnetic transformer which imposes a large inhomogeneous magnetic field in sections of the heart, creating large image voids that can mask important pathology. A shim system was devised to resolve these ICD issues. A shim coil system (CSS) that corrects ICD artifacts over a user-selected Region-of-Interest (ROI), was constructed and validated. Methods A shim coil was constructed that can project a large magnetic field for distances of ~15 cm. The shim-coil can be positioned safely anywhere within the scanner bore. The CSS includes a cantilevered beam to hold the shim coil. Remotely controlled MR-conditional motors allow 2 mm-accuracy three-dimensional shim-coil position. The shim coil is located above the subjects and the imaging surface-coils. Interaction of the shim coil with the scanner's gradients was eliminated with an amplifier that is in a constant current mode. Coupling with the scanners' radio-frequency (rf) coils, was reduced with shielding, low-pass filters, and cable shield traps. Software, which utilizes magnetic field (B0) mapping of the ICD inhomogeneity, computes the optimal location for the shim coil and its corrective current. ECG gated single- and multiple-cardiac-phase 2D GRE and SSFP sequences, as well as 3D ECG-gated respiratory-navigated IR-GRE (LGE) sequences were tested in phantoms and N = 3 swine with overlaid ICDs. Results With all cMR sequences, the system reduced artifacts from >100 ppm to <25 ppm inhomogeneity, which permitted imaging of the entire left ventricle in swine with ICD-related voids. Continuously acquired Gradient recalled echo or Steady State Free Precession images were used to interactively adjust the shim current and coil location. Conclusion The shim system reduced large field inhomogeneities due to implanted ICDs and corrected most ICD-related image distortions. Externally-controlled motorized translation of the shim coil simplified its utilization, supporting an efficient cardiac MRI workflow.
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Affiliation(s)
| | | | - Yifan Wang
- Georgia Institute of Technology, Atlanta, GA, United States
| | | | - Henry R. Halperin
- Medicine (Cardiology), Johns Hopkins University, Baltimore, MD, United States
| | - Yue Chen
- Georgia Institute of Technology, Atlanta, GA, United States
| | - Ehud J. Schmidt
- Medicine (Cardiology), Johns Hopkins University, Baltimore, MD, United States
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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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Gonzales RA, Ibáñez DH, Hann E, Popescu IA, Burrage MK, Lee YP, Altun İ, Weintraub WS, Kwong RY, Kramer CM, Neubauer S, Ferreira VM, Zhang Q, Piechnik SK. Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images. Front Cardiovasc Med 2023; 10:1213290. [PMID: 37753166 PMCID: PMC10518404 DOI: 10.3389/fcvm.2023.1213290] [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: 04/27/2023] [Accepted: 08/16/2023] [Indexed: 09/28/2023] Open
Abstract
Background Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for non-invasive myocardial tissue characterisation. However, accurate segmentation of the left ventricular (LV) myocardium remains a challenge due to limited training data and lack of quality control. This study addresses these issues by leveraging generative adversarial networks (GAN)-generated virtual native enhancement (VNE) images to expand the training set and incorporating an automated quality control-driven (QCD) framework to improve segmentation reliability. Methods A dataset comprising 4,716 LGE images (from 1,363 patients with hypertrophic cardiomyopathy and myocardial infarction) was used for development. To generate additional clinically validated data, LGE data were augmented with a GAN-based generator to produce VNE images. LV was contoured on these images manually by clinical observers. To create diverse candidate segmentations, the QCD framework involved multiple U-Nets, which were combined using statistical rank filters. The framework predicted the Dice Similarity Coefficient (DSC) for each candidate segmentation, with the highest predicted DSC indicating the most accurate and reliable result. The performance of the QCD ensemble framework was evaluated on both LGE and VNE test datasets (309 LGE/VNE images from 103 patients), assessing segmentation accuracy (DSC) and quality prediction (mean absolute error (MAE) and binary classification accuracy). Results The QCD framework effectively and rapidly segmented the LV myocardium (<1 s per image) on both LGE and VNE images, demonstrating robust performance on both test datasets with similar mean DSC (LGE: 0.845 ± 0.075 ; VNE: 0.845 ± 0.071 ; p = n s ). Incorporating GAN-generated VNE data into the training process consistently led to enhanced performance for both individual models and the overall framework. The quality control mechanism yielded a high performance (MAE = 0.043 , accuracy = 0.951 ) emphasising the accuracy of the quality control-driven strategy in predicting segmentation quality in clinical settings. Overall, no statistical difference (p = n s ) was found when comparing the LGE and VNE test sets across all experiments. Conclusions The QCD ensemble framework, leveraging GAN-generated VNE data and an automated quality control mechanism, significantly improved the accuracy and reliability of LGE segmentation, paving the way for enhanced and accountable diagnostic imaging in routine clinical use.
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Affiliation(s)
- Ricardo A. Gonzales
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Daniel H. Ibáñez
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
- Artificio, Cambridge, MA, United States
| | - Evan Hann
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Iulia A. Popescu
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Matthew K. Burrage
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Yung P. Lee
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - İbrahim Altun
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - William S. Weintraub
- MedStar Health Research Institute, Georgetown University, Washington, DC, United States
| | - Raymond Y. Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Christopher M. Kramer
- Department of Medicine, University of Virginia Health System, Charlottesville, VA, United States
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | | | | | - Vanessa M. Ferreira
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Qiang Zhang
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Stefan K. Piechnik
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
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Gerber BL. Wideband cardiac magnetic resonance for myocardial tissue characterization in patients with implantable cardioverter defibrillators (ICDs): comment on Patel et al.'s Impact of wideband cardiac magnetic resonance on diagnosis, decision-making, and outcomes in patients with ICD. Eur Heart J Cardiovasc Imaging 2023; 24:190-191. [PMID: 36458870 DOI: 10.1093/ehjci/jeac230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Affiliation(s)
- Bernhard L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain (UCLouvain), Av Hippocrate 10/2806, B-1200 Woluwe St Lambert, Brussels, Belgium
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Patel HN, Wang S, Rao S, Singh A, Landeras L, Besser SA, Carter S, Mishra S, Nishimura T, Shatz DY, Tung R, Nayak H, Kawaji K, Mor-Avi V, Patel AR. Impact of wideband cardiac magnetic resonance on diagnosis, decision-making and outcomes in patients with implantable cardioverter defibrillators. Eur Heart J Cardiovasc Imaging 2023; 24:181-189. [PMID: 36458878 PMCID: PMC10226743 DOI: 10.1093/ehjci/jeac227] [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: 01/26/2022] [Revised: 09/01/2022] [Accepted: 10/21/2022] [Indexed: 12/04/2022] Open
Abstract
AIMS Although myocardial scar assessment using late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is frequently indicated for patients with implantable cardioverter defibrillators (ICDs), metal artefact can degrade image quality. With the new wideband technique designed to mitigate device related artefact, CMR is increasingly used in this population. However, the common clinical indications for CMR referral and impact on clinical decision-making and prognosis are not well defined. Our study was designed to address these knowledge gaps. METHODS AND RESULTS One hundred seventy-nine consecutive patients with an ICD (age 59 ± 13 years, 75% male) underwent CMR using cine and wideband pulse sequences for LGE imaging. Electronic medical records were reviewed to determine the reason for CMR referral, whether there was a change in clinical decision-making, and occurrence of major adverse cardiac events (MACEs). Referral indication was the most common evaluation of ventricular tachycardia (VT) substrate (n = 114, 64%), followed by cardiomyopathy (n = 53, 30%). Overall, CMR resulted in a new or changed diagnosis in 64 (36%) patients and impacted clinical management in 51 (28%). The effect on management change was highest in patients presenting with VT. A total of 77 patients (43%) experienced MACE during the follow-up period (median 1.7 years), including 65 in patients with evidence of LGE. Kaplan-Meier analysis showed that ICD patients with LGE had worse outcomes than those without LGE (P = 0.006). CONCLUSION The clinical yield from LGE CMR is high and provides management changing and meaningful prognostic information in a significant proportion of patients with ICDs.
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Affiliation(s)
- Hena N Patel
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Shuo Wang
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Swati Rao
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Amita Singh
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Luis Landeras
- Department of Radiology, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Stephanie A Besser
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Spencer Carter
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Satish Mishra
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Takuro Nishimura
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Dalise Y Shatz
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Roderick Tung
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Hemal Nayak
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Keigo Kawaji
- Illinois Institute of Technology, Department of Biomedical Engineering, Chicago, IL 60616, USA
| | - Victor Mor-Avi
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Amit R Patel
- Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
- Department of Radiology, University of Chicago Medical Center, Chicago, IL 60637, USA
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Vuorinen AM, Lehmonen L, Karvonen J, Holmström M, Kivistö S, Kaasalainen T. Reducing cardiac implantable electronic device-induced artefacts in cardiac magnetic resonance imaging. Eur Radiol 2023; 33:1229-1242. [PMID: 36029346 PMCID: PMC9889467 DOI: 10.1007/s00330-022-09059-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 06/17/2022] [Accepted: 07/24/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Cardiac implantable electronic device (CIED)-induced metal artefacts possibly significantly diminish the diagnostic value of magnetic resonance imaging (MRI), particularly cardiac MR (CMR). Right-sided generator implantation, wideband late-gadolinium enhancement (LGE) technique and raising the ipsilateral arm to the generator during CMR scanning may reduce the CIED-induced image artefacts. We assessed the impact of generator location and the arm-raised imaging position on the CIED-induced artefacts in CMR. METHODS We included all clinically indicated CMRs performed on patients with normal cardiac anatomy and a permanent CIED with endocardial pacing leads between November 2011 and October 2019 in our institution (n = 171). We analysed cine and LGE sequences using the American Heart Association 17-segment model for the presence of artefacts. RESULTS Right-sided generator implantation and arm-raised imaging associated with a significantly increased number of artefact-free segments. In patients with a right-sided pacemaker, the median percentage of artefact-free segments in short-axis balanced steady-state free precession LGE was 93.8% (IQR 9.4%, n = 53) compared with 78.1% (IQR 20.3%, n = 58) for left-sided pacemaker (p < 0.001). In patients with a left-sided implantable cardioverter-defibrillator, the median percentage of artefact-free segments reached 87.5% (IQR 6.3%, n = 9) using arm-raised imaging, which fell to 62.5% (IQR 34.4%, n = 9) using arm-down imaging in spoiled gradient echo short-axis cine (p = 0.02). CONCLUSIONS Arm-raised imaging represents a straightforward method to reduce CMR artefacts in patients with left-sided generators and can be used alongside other image quality improvement methods. Right-sided generator implantation could be considered in CIED patients requiring subsequent CMR imaging to ensure sufficient image quality. KEY POINTS • Cardiac implantable electronic device (CIED)-induced metal artefacts may significantly diminish the diagnostic value of an MRI, particularly in cardiac MRIs. • Raising the ipsilateral arm relative to the CIED generator is a cost-free, straightforward method to significantly reduce CIED-induced artefacts on cardiac MRIs in patients with a left-sided generator. • Right-sided generator implantation reduces artefacts compared with left-sided implantation and could be considered in CIED patients requiring subsequent cardiac MRIs to ensure adequate image quality in the future.
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Affiliation(s)
- Aino-Maija Vuorinen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
| | - Lauri Lehmonen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
| | - Jarkko Karvonen
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
| | - Miia Holmström
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
| | - Sari Kivistö
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
| | - Touko Kaasalainen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, P.O. Box 340, HUS, 00029 Helsinki, Finland
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Bhuta S, Patel NJ, Ciricillo JA, Haddad MN, Khokher W, Mhanna M, Patel M, Burmeister C, Malas H, Kammeyer JA. Cardiac Magnetic Resonance Imaging for the Diagnosis of Infective Endocarditis in the COVID-19 Era. Curr Probl Cardiol 2022; 48:101396. [PMID: 36126764 PMCID: PMC9481470 DOI: 10.1016/j.cpcardiol.2022.101396] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/07/2022] [Indexed: 10/30/2022]
Abstract
INTRODUCTION In the COVID-19 pandemic, to minimize aerosol-generating procedures, cardiac magnetic resonance imaging (CMR) was utilized at our institution as an alternative to transesophageal echocardiography (TEE) for diagnosing infective endocarditis (IE). METHODS This retrospective study evaluated the clinical utility of CMR for detecting IE among 14 patients growing typical microorganisms on blood cultures or meeting modified Duke criteria. RESULTS 7 cases were treated for IE. In 2 cases, CMR results were notable for possible leaflet vegetations and were clinically meaningful in guiding antibiotic therapy, obtaining further imaging, and/or pursuing surgical intervention. In 2 cases, vegetations were missed on CMR but detected on TEE. In 3 cases, CMR was nondiagnostic, but patients were treated empirically. There was no difference in antibiotic duration or outcomes over 1 year. CONCLUSION CMR demonstrated mixed results in diagnosing valvular vegetations and guiding clinical decision making. Further prospective controlled trials of CMR vs TEE are warranted.
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Affiliation(s)
- Sapan Bhuta
- The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Neha J Patel
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Jacob A Ciricillo
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Michael N Haddad
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Waleed Khokher
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Mohammed Mhanna
- Division of Cardiology, Department of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mitra Patel
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | | | - Hazem Malas
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA; ProMedica Toledo Hospital, Toledo, OH, USA
| | - Joel A Kammeyer
- University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA; ProMedica Toledo Hospital, Toledo, OH, USA.
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Huang L, Roujol S. Editorial for "Impact of Wideband Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging on Device-Related Artifacts in Different Implantable Cardioverter-Defibrillator Types". J Magn Reson Imaging 2021; 54:1266-1267. [PMID: 34121264 DOI: 10.1002/jmri.27777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 06/02/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Li Huang
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Sébastien Roujol
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, UK
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