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Mikail N, Chequer R, Imperiale A, Meisel A, Bengs S, Portmann A, Gimelli A, Buechel RR, Gebhard C, Rossi A. Tales from the future-nuclear cardio-oncology, from prediction to diagnosis and monitoring. Eur Heart J Cardiovasc Imaging 2023; 24:1129-1145. [PMID: 37467476 PMCID: PMC10501471 DOI: 10.1093/ehjci/jead168] [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] [Received: 04/25/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023] Open
Abstract
Cancer and cardiovascular diseases (CVD) often share common risk factors, and patients with CVD who develop cancer are at high risk of experiencing major adverse cardiovascular events. Additionally, cancer treatment can induce short- and long-term adverse cardiovascular events. Given the improvement in oncological patients' prognosis, the burden in this vulnerable population is slowly shifting towards increased cardiovascular mortality. Consequently, the field of cardio-oncology is steadily expanding, prompting the need for new markers to stratify and monitor the cardiovascular risk in oncological patients before, during, and after the completion of treatment. Advanced non-invasive cardiac imaging has raised great interest in the early detection of CVD and cardiotoxicity in oncological patients. Nuclear medicine has long been a pivotal exam to robustly assess and monitor the cardiac function of patients undergoing potentially cardiotoxic chemotherapies. In addition, recent radiotracers have shown great interest in the early detection of cancer-treatment-related cardiotoxicity. In this review, we summarize the current and emerging nuclear cardiology tools that can help identify cardiotoxicity and assess the cardiovascular risk in patients undergoing cancer treatments and discuss the specific role of nuclear cardiology alongside other non-invasive imaging techniques.
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Affiliation(s)
- Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Renata Chequer
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018 Paris, France
| | - Alessio Imperiale
- Nuclear Medicine, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, 67093 Strasbourg, France
- Molecular Imaging-DRHIM, IPHC, UMR 7178, CNRS/Unistra, 67093 Strasbourg, France
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Kantonsspital Glarus, Burgstrasse 99, 8750 Glarus, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione CNR/Regione Toscana Gabriele Monasterio, Via G. Moruzzi 1, 56124 Pisa, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
- Department of Cardiology, University Hospital Inselspital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
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Sex differences in machine learning computed tomography-derived fractional flow reserve. Sci Rep 2022; 12:13861. [PMID: 35974055 PMCID: PMC9381799 DOI: 10.1038/s41598-022-17875-9] [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: 01/27/2022] [Accepted: 08/02/2022] [Indexed: 11/08/2022] Open
Abstract
Coronary computed tomography angiography (CCTA) derived machine learning fractional flow reserve (ML-FFRCT) can assess the hemodynamic significance of coronary artery stenoses. We aimed to assess sex differences in the association of ML-FFRCT and incident cardiovascular outcomes. We studied a retrospective cohort of consecutive patients who underwent clinically indicated CCTA and single photon emission computed tomography (SPECT). Obstructive stenosis was defined as ≥ 70% stenosis severity in non-left main vessels or ≥ 50% in the left main coronary. ML-FFRCT was computed using a machine learning algorithm with significant stenosis defined as ML-FFRCT < 0.8. The primary outcome was a composite of death or non-fatal myocardial infarction (D/MI). Our study population consisted of 471 patients with mean (SD) age 65 (13) years, 53% men, and multiple comorbidities (78% hypertension, 66% diabetes, 81% dyslipidemia). Compared to men, women were less likely to have obstructive stenosis by CCTA (9% vs. 18%; p = 0.006), less multivessel CAD (4% vs. 6%; p = 0.25), lower prevalence of ML-FFRCT < 0.8 (39% vs. 44%; p = 0.23) and higher median (IQR) ML-FFRCT (0.76 (0.53-0.86) vs. 0.71 (0.47-0.84); p = 0.047). In multivariable adjusted models, there was no significant association between ML-FFRCT < 0.8 and D/MI [Hazard Ratio 0.82, 95% confidence interval (0.30, 2.20); p = 0.25 for interaction with sex.]. In a high-risk cohort of symptomatic patients who underwent CCTA and SPECT testing, ML-FFRCT was higher in women than men. There was no significant association between ML-FFRCT and incident mortality or MI and no evidence that the prognostic value of ML-FFRCT differs by sex.
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Pontone G, Rossi A, Guglielmo M, Dweck MR, Gaemperli O, Nieman K, Pugliese F, Maurovich-Horvat P, Gimelli A, Cosyns B, Achenbach S. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II. Eur Heart J Cardiovasc Imaging 2022; 23:e136-e161. [PMID: 35175348 PMCID: PMC8944330 DOI: 10.1093/ehjci/jeab292] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 12/28/2021] [Indexed: 11/12/2022] Open
Abstract
Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic tool to detect and quantify coronary stenosis. Thanks to the rapid technological development, cardiac CT has become a comprehensive imaging modality which offers anatomical and functional information to guide patient management. This is the second of two complementary documents endorsed by the European Association of Cardiovascular Imaging aiming to give updated indications on the appropriate use of cardiac CT in different clinical scenarios. In this article, emerging CT technologies and biomarkers, such as CT-derived fractional flow reserve, perfusion imaging, and pericoronary adipose tissue attenuation, are described. In addition, the role of cardiac CT in the evaluation of atherosclerotic plaque, cardiomyopathies, structural heart disease, and congenital heart disease is revised.
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Affiliation(s)
- Gianluca Pontone
- Corresponding author. Tel: +39 02 58002574; Fax: +39 02 58002231. E-mail:
| | | | - Marco Guglielmo
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy
| | - Marc R Dweck
- Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK,Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Alessia Gimelli
- Fondazione CNR/Regione Toscana “Gabriele Monasterio”, Pisa, Italy
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair ziekenhuis Brussel, Brussel, Belgium
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander-University of Erlangen, Erlangen, Germany
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Williams MC, Ferencik M, Branch KR, Nieman K, Ghoshhajra BB, Choi AD, Nicol ED, Williamson E. Highlights of the 16th annual scientific meeting of the society of cardiovascular computed tomography. J Cardiovasc Comput Tomogr 2021; 15:506-512. [PMID: 34688579 DOI: 10.1016/j.jcct.2021.10.002] [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: 08/17/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 11/15/2022]
Abstract
The 16th Society of Cardiovascular Computed Tomography (SCCT) annual scientific meeting welcomed 781 digital attendees from 55 countries. The program included 27 sessions across three simultaneously streaming channels, 11 exhibitors, 153 poster presentations, and 32 hours of on demand videos. The main themes of the meeting included coronary artery disease, valvular heart disease, structural heart disease, and advanced analytics including machine learning. This article summaries the main themes of the meeting and some of the key presentations, which will shape the future of cardiovascular computed tomography in clinical practice.
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Affiliation(s)
- Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA
| | | | - Koen Nieman
- Stanford University School of Medicine, Departments of Medicine and Radiology, Cardiovascular Institute, Stanford, CA, USA
| | - Brian B Ghoshhajra
- Division of Cardiovascular Imaging and Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew D Choi
- Division of Cardiology and Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Edward D Nicol
- Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK; School of Biomedical Engineering and Imaging Sciences, Kings College London, UK
| | - Eric Williamson
- Division of Cardiovascular Radiology, Mayo Clinic Rochester, MN, USA
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Edvardsen T, Donal E, Marsan NA, Maurovich-Horvat P, Dweck MR, Maurer G, Petersen SE, Cosyns B. The year 2020 in the European Heart Journal - Cardiovascular Imaging: part I. Eur Heart J Cardiovasc Imaging 2021; 22:1219-1227. [PMID: 34463734 DOI: 10.1093/ehjci/jeab148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 07/24/2021] [Indexed: 12/22/2022] Open
Abstract
The European Heart Journal - Cardiovascular Imaging was launched in 2012 and has during these 9 years become one of the leading multimodality cardiovascular imaging journals. The journal is currently ranked as number 20 among all cardiovascular journals. Our journal is well established as one of the top cardiovascular journals and is the most important cardiovascular imaging journal in Europe. The most important studies published in our Journal in 2020 will be highlighted in two reports. Part I of the review will focus on studies about myocardial function and risk prediction, myocardial ischaemia, and emerging techniques in cardiovascular imaging, while Part II will focus on valvular heart disease, heart failure, cardiomyopathies, and congenital heart disease.
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Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Postbox 4950 Nydalen, Sognsvannsveien 20, NO-0424 Oslo, Norway.,Institute for clinical medicine, University of Oslo, Sognsvannsveien 20, NO-0424 Oslo, Norway
| | - Erwan Donal
- Department of Cardiology and CIC-IT1414, CHU Rennes, Inserm, LTSI-UMR 1099, University Rennes-1, Rennes F-35000, France
| | - Nina A Marsan
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2300 RC Leiden, The Netherlands
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, 2 Korányi u., 1083 Budapest, Hungary
| | - Marc R Dweck
- Centre for Cardiovascular Sciences, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh EH16 4SB, UK
| | - Gerald Maurer
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Wahringer Gurtel 18-20, 1090 Vienna, Austria
| | - Steffen E Petersen
- Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,William Harvey Research Institute, Queen Mary University of London, CharterhouseSquare, London EC1M 6BQ, UK
| | - Bernard Cosyns
- Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair ziekenhuis Brussel, 109 Laarbeeklaan, Brussels 1090, Belgium
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Ahmed AI, Han Y, Al Rifai M, Alnabelsi T, Nabi F, Chang SM, Cocker M, Schwemmer C, Ramirez-Giraldo JC, Kleiman NS, Zoghbi WA, Mahmarian JJ, Al-Mallah MH. Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging. JACC Cardiovasc Imaging 2021; 15:284-295. [PMID: 34656489 DOI: 10.1016/j.jcmg.2021.09.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES The aim of this study was to compare the incremental prognostic value of coronary computed tomography (CT) angiography (CCTA)-derived machine learning fractional flow reserve CT (ML-FFRct) versus that of ischemia detected on single-photon emission-computed tomography (SPECT) myocardial perfusion imaging (MPI) on incident cardiovascular outcomes. BACKGROUND SPECT MPI and ML-FFRct are noninvasive tools that can assess the hemodynamic significance of coronary atherosclerotic disease. METHODS We studied a retrospective cohort of consecutive patients who underwent clinically indicated CCTA and SPECT MPI. ML-FFRct was computed using a ML prototype. The primary outcome was all-cause mortality and nonfatal myocardial infarction (D/MI), and the secondary outcome was D/MI and unplanned revascularization, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) occurring more than 90 days postimaging. Multiple nested multivariate cox regression was used to model a scenario wherein an initial anatomical assessment was followed by a functional assessment. RESULTS A total of 471 patients (mean age: 64 ± 13 year; 53% males) were included. Comorbidities were prevalent (78% hypertension, 66% diabetes, 81% dyslipidemia). ML-FFRct was <0.8 in at least 1 proximal/midsegment was present in 41.6% of patients, and ischemia on MPI was present in 13.8%. After a median follow-up of 18 months, 7% of patients (n = 33) experienced D/MI. On multivariate Cox proportional analysis, the presence of ischemia on MPI but not ML-FFRct significantly predicted D/MI (HR: 2.3; 95% CI: 1.0-5.0; P = 0.047; or HR: 0.7; 95% CI: 0.3-1.4; P = 0.306 respectively) when added to CCTA obstructive stenosis. Furthermore, the model with SPECT ischemia had higher global chi-square result and significantly improved reclassification. Results were similar using the secondary outcome and on several sensitivity analyses. CONCLUSIONS In a high-risk patient cohort, SPECT MPI but not ML-FFRct adds independent and incremental prognostic information to CCTA-based anatomical assessment and clinical risk factors in predicting incident outcomes.
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Affiliation(s)
| | - Yushui Han
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | | | - Talal Alnabelsi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Faisal Nabi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Su Min Chang
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Myra Cocker
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA; Computed Tomography-Research Collaborations, Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Chris Schwemmer
- Computed Tomography-Research and Development, Siemens Healthcare GmbH, Forchheim, Germany
| | - Juan C Ramirez-Giraldo
- Computed Tomography-Research Collaborations, Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Neal S Kleiman
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - William A Zoghbi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - John J Mahmarian
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Mouaz H Al-Mallah
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA.
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Nous FMA, Geisler T, Kruk MBP, Alkadhi H, Kitagawa K, Vliegenthart R, Hell MM, Hausleiter J, Nguyen PK, Budde RPJ, Nikolaou K, Kepka C, Manka R, Sakuma H, Malik SB, Coenen A, Zijlstra F, Klotz E, van der Harst P, Artzner C, Dedic A, Pugliese F, Bamberg F, Nieman K. Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC Cardiovasc Imaging 2021; 15:75-87. [PMID: 34538630 PMCID: PMC8741746 DOI: 10.1016/j.jcmg.2021.07.021] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/14/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022]
Abstract
OBJECTIVES In this international, multicenter study, using third-generation dual-source computed tomography (CT), we investigated the diagnostic performance of dynamic stress CT myocardial perfusion imaging (CT-MPI) in addition to coronary CT angiography (CTA) compared to invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR). BACKGROUND CT-MPI combined with coronary CTA integrates coronary artery anatomy with inducible myocardial ischemia, showing promising results for the diagnosis of hemodynamically significant coronary artery disease in single-center studies. METHODS At 9 centers in Europe, Japan, and the United States, 132 patients scheduled for ICA were enrolled; 114 patients successfully completed coronary CTA, adenosine-stress dynamic CT-MPI, and ICA. Invasive FFR was performed in vessels with 25% to 90% stenosis. Data were analyzed by independent core laboratories. For the primary analysis, for each coronary artery the presence of hemodynamically significant obstruction was interpreted by coronary CTA with CT-MPI compared to coronary CTA alone, using an FFR of ≤0.80 and angiographic severity as reference. Territorial absolute myocardial blood flow (MBF) and relative MBF were compared using C-statistics. RESULTS ICA and FFR identified hemodynamically significant stenoses in 74 of 289 coronary vessels (26%). Coronary CTA with ≥50% stenosis demonstrated a per-vessel sensitivity, specificity, and accuracy for the detection of hemodynamically significant stenosis of 96% (95% CI: 91–100), 72% (95% CI: 66–78), and 78% (95% CI: 73–83), respectively. Coronary CTA with CT-MPI showed a lower sensitivity (84%; 95% CI: 75–92) but higher specificity (89%; 95% CI: 85–93) and accuracy (88%; 95% CI: 84–92). The areas under the receiver-operating characteristic curve of absolute MBF and relative MBF were 0.79 (95% CI: 0.71–0.86) and 0.82 (95% CI: 0.74–0.88), respectively. The median dose-length product of CT-MPI and coronary CTA were 313 mGy·cm and 138 mGy·cm, respectively. CONCLUSIONS Dynamic CT-MPI offers incremental diagnostic value over coronary CTA alone for the identification of hemodynamically significant coronary artery disease. Generalized results from this multicenter study encourage broader consideration of dynamic CT-MPI in clinical practice. (Dynamic Stress Perfusion CT for Detection of Inducible Myocardial Ischemia [SPECIFIC]; NCT02810795)
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Affiliation(s)
- Fay M A Nous
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tobias Geisler
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Mariusz B P Kruk
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michaela M Hell
- Department of Cardiology, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Hausleiter
- Department of Cardiology, Ludwig-Maximilians University, Munich, Germany
| | - Patricia K Nguyen
- Veterans Affairs Palo Alto Healthcare System, Cardiology Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford, California, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Cezary Kepka
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Robert Manka
- Department of Cardiology, University Heart Center and Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Sachin B Malik
- Veterans Affairs Palo Alto Healthcare System, Thoracic and Cardiovascular Imaging Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Imaging (Affiliated), Stanford, California, USA
| | - Adriaan Coenen
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Felix Zijlstra
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christoph Artzner
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Admir Dedic
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Francesca Pugliese
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, Barts National Institute for Health Research Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, West Smithfield, London, United Kingdom
| | - Fabian Bamberg
- Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Koen Nieman
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Stanford University School of Medicine and Cardiovascular Institute, Stanford, California, USA.
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Contemporary Role of Cardiac Magnetic Resonance in the Management of Patients with Suspected or Known Coronary Artery Disease. ACTA ACUST UNITED AC 2021; 57:medicina57070649. [PMID: 34202588 PMCID: PMC8303732 DOI: 10.3390/medicina57070649] [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: 04/05/2021] [Revised: 05/21/2021] [Accepted: 06/21/2021] [Indexed: 11/19/2022]
Abstract
Cardiac magnetic resonance imaging (CMR) is a useful non-invasive radiation-free imaging modality for the management of patients with coronary artery disease (CAD). CMR cine imaging provides the “gold standard” assessment of ventricular function, late gadolinium enhancement (LGE) provides useful data for the diagnosis and extent of myocardial scar and viability, while stress imaging is an established technique for the detection of myocardial perfusion defects indicating ischemia. Beyond its role in the diagnosis of CAD, CMR allows accurate risk stratification of patients with established CAD. This review aims to summarize the data regarding the role of CMR in the contemporary management of patients with suspected or known coronary artery disease.
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