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Esposito A, Gallone G, Palmisano A, Marchitelli L, Catapano F, Francone M. The current landscape of imaging recommendations in cardiovascular clinical guidelines: toward an imaging-guided precision medicine. LA RADIOLOGIA MEDICA 2020; 125:1013-1023. [PMID: 32964326 PMCID: PMC7593299 DOI: 10.1007/s11547-020-01286-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 09/03/2020] [Indexed: 01/06/2023]
Abstract
The purpose of this article is to provide an overview on the role of CT scan and MRI according to selected guidelines by the European Society of Cardiology (ESC) and the American College of Cardiology/American Heart Association (ACC/AHA). ESC and ACC/AHA guidelines were systematically reviewed for recommendations to CT and MRI use in specific cardiovascular (CV) clinical categories. All recommendations were collected in a dataset, including the class of recommendation, the level of evidence (LOE), the specific imaging technique, the clinical purpose of the recommendation and the recommending Society. Among the 43 included guidelines (ESC: n = 18, ACC/AHA: n = 25), 26 (60.4%) contained recommendations for CT scan or MRI (146 recommendations: 62 for CT and 84 for MRI). Class of recommendation IIa (32.9%) was the most represented, followed by I (28.1%), IIb (24%) and III (11.9%). MRI recommendations more frequently being of higher class (I: 36.9%, IIa: 29.8%, IIb: 21.4%, III: 11.9%) as compared to CT (I: 16.1%, IIa: 37.1%, IIb: 27.4%, III: 19.4%). Most of recommendation (55.5%) were based on expert opinion (LOE C). The use of cardiac CT and cardiac MR in the risk assessment, diagnosis, therapeutic and procedural planning is in continuous development, driven by an increasing need to evolve toward an imaging-guided precision medicine, combined with cost-effectiveness and healthcare sustainability. These developments must be accompanied by an increased availability of high-performance scanners in healthcare facilities and should emphasize the need of increasing the number of radiologists fully trained in cardiac imaging.
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Affiliation(s)
- Antonio Esposito
- Experimental Imaging Center, Radiology Unit, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
| | - Guglielmo Gallone
- Division of Cardiology, Department of Internal Medicine, Città della Salute e della Scienza, University of Turin, Turin, Italy
| | - Anna Palmisano
- Experimental Imaging Center, Radiology Unit, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
| | - Livia Marchitelli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Federica Catapano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Marco Francone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
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Palumbo P, Cannizzaro E, Di Cesare A, Bruno F, Schicchi N, Giovagnoni A, Splendiani A, Barile A, Masciocchi C, Di Cesare E. Cardiac magnetic resonance in arrhythmogenic cardiomyopathies. Radiol Med 2020; 125:1087-1101. [PMID: 32978708 DOI: 10.1007/s11547-020-01289-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/08/2020] [Indexed: 12/13/2022]
Abstract
Over the past few years, the approach to the 'arrhythmic patient' has profoundly changed. An early clinical presentation of arrhythmia is often accompanied by non-specific symptoms and followed by inconclusive electrocardiographic findings. In this scenario, cardiac magnetic resonance (CMR) has been established as a clinical tool of fundamental importance for a correct prognostic stratification of the arrhythmic patient. This technique provides a high-spatial-resolution tomographic evaluation of the heart, which allows studying accurately the ventricular volumes, identifying even segmental kinetic anomalies and properly detecting diffuse or focal tissue alterations through an excellent tissue characterization, while depicting different patterns of fibrosis distribution, myocardial edema or fatty substitution. Through these capabilities, CMR has a pivotal role for the adequate management of the arrhythmic patient, allowing the identification of those phenotypic manifestations characteristic of structural heart diseases. Therefore, CMR provides valuable information to reclassify the patient within the wide spectrum of potentially arrhythmogenic heart diseases, the definition of which remains the major determinants for both an adequate treatment and a poor prognosis. The purpose of this review study was to focus on the role of CMR in the evaluation of the main cardiac clinical entities associated with arrhythmogenic phenomena and to present a brief debate on the main pathophysiological mechanisms involved in the arrhythmogenesis process.
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Affiliation(s)
- Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, AQ, Italy.
| | | | - Annamaria Di Cesare
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, AQ, Italy
| | - Nicolò Schicchi
- Department of Radiology, Azienda Ospedaliero-Universitaria, Ospedali Riuniti Di Ancona, Ancona, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Azienda Ospedaliero-Universitaria, Ospedali Riuniti Di Ancona, Ancona, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, AQ, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, AQ, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, AQ, Italy
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
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Buffa V, Di Renzi P. CMR in the diagnosis of ischemic heart disease. Radiol Med 2020; 125:1114-1123. [PMID: 32936388 DOI: 10.1007/s11547-020-01278-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 09/03/2020] [Indexed: 12/11/2022]
Abstract
Cardiovascular magnetic resonance has always been more often used in the last 10 years in evaluation of heart disease. Role in diagnosis of ischemia and in evaluation of myocardial infarction is well established by many scientific papers and included in current guidelines. High accuracy in evaluation of stress-induced ischemia, tissue characterization and functional parameters are the pillars the make the method widely used. In this paper are described role and techniques in diagnosis of ischemia, myocardial infarction and its sequelae.
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Affiliation(s)
- Vitaliano Buffa
- Department of Radiology, Azienda Ospedaliera San Camillo Forlanini, Rome, Italy.
| | - Paolo Di Renzi
- Department of Radiology, Ospedale San Giovanni Calibita FBF, Rome, Italy
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Snel GJH, van den Boomen M, Hernandez LM, Nguyen CT, Sosnovik DE, Velthuis BK, Slart RHJA, Borra RJH, Prakken NHJ. Cardiovascular magnetic resonance native T 2 and T 2* quantitative values for cardiomyopathies and heart transplantations: a systematic review and meta-analysis. J Cardiovasc Magn Reson 2020; 22:34. [PMID: 32393281 PMCID: PMC7212597 DOI: 10.1186/s12968-020-00627-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 04/16/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The clinical application of cardiovascular magnetic resonance (CMR) T2 and T2* mapping is currently limited as ranges for healthy and cardiac diseases are poorly defined. In this meta-analysis we aimed to determine the weighted mean of T2 and T2* mapping values in patients with myocardial infarction (MI), heart transplantation, non-ischemic cardiomyopathies (NICM) and hypertension, and the standardized mean difference (SMD) of each population with healthy controls. Additionally, the variation of mapping outcomes between studies was investigated. METHODS The PRISMA guidelines were followed after literature searches on PubMed and Embase. Studies reporting CMR T2 or T2* values measured in patients were included. The SMD was calculated using a random effects model and a meta-regression analysis was performed for populations with sufficient published data. RESULTS One hundred fifty-four studies, including 13,804 patient and 4392 control measurements, were included. T2 values were higher in patients with MI, heart transplantation, sarcoidosis, systemic lupus erythematosus, amyloidosis, hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM) and myocarditis (SMD of 2.17, 1.05, 0.87, 1.39, 1.62, 1.95, 1.90 and 1.33, respectively, P < 0.01) compared with controls. T2 values in iron overload patients (SMD = - 0.54, P = 0.30) and Anderson-Fabry disease patients (SMD = 0.52, P = 0.17) did both not differ from controls. T2* values were lower in patients with MI and iron overload (SMD of - 1.99 and - 2.39, respectively, P < 0.01) compared with controls. T2* values in HCM patients (SMD = - 0.61, P = 0.22), DCM patients (SMD = - 0.54, P = 0.06) and hypertension patients (SMD = - 1.46, P = 0.10) did not differ from controls. Multiple CMR acquisition and patient demographic factors were assessed as significant covariates, thereby influencing the mapping outcomes and causing variation between studies. CONCLUSIONS The clinical utility of T2 and T2* mapping to distinguish affected myocardium in patients with cardiomyopathies or heart transplantation from healthy myocardium seemed to be confirmed based on this meta-analysis. Nevertheless, variation of mapping values between studies complicates comparison with external values and therefore require local healthy reference values to clinically interpret quantitative values. Furthermore, disease differentiation seems limited, since changes in T2 and T2* values of most cardiomyopathies are similar.
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Affiliation(s)
- G J H Snel
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| | - M van den Boomen
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
| | - L M Hernandez
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - C T Nguyen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
| | - D E Sosnovik
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Division of Health Sciences and Technology, Harvard-MIT, 7 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - B K Velthuis
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - R H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Department of Biomedical Photonic Imaging, University of Twente, Dienstweg 1, 7522 ND, Enschede, The Netherlands
| | - R J H Borra
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - N H J Prakken
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
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Coronary artery disease (CAD) extension-derived risk stratification for asymptomatic diabetic patients: usefulness of low-dose coronary computed tomography angiography (CCTA) in detecting high-risk profile patients. Radiol Med 2020; 125:1249-1259. [PMID: 32367320 DOI: 10.1007/s11547-020-01204-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 04/16/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND As one of the most frequent risk factors for cardiovascular disease, type 2 diabetes mellitus (T2DM) is one of the largest causes of death. However, an acute cardiac presentation is not uncommon in diabetic patients, and the current investigative approach remains often inadequate. The aim of our study was to retrospectively stratify the risk of asymptomatic T2DM patients using low-dose 640-slice coronary computed tomography angiography (CCTA). MATERIALS AND METHODS CCTA examinations of 62 patients (mean age, 65 years) with previous diagnosis of type 2 diabetes and without cardiac symptoms were analyzed. Image acquisition was performed using a 640-slice CT. Per-patient, per-vessel and per-plaque analyses were performed. Stratification risk was evaluated according to the ESC guidelines. The patients were followed up after 2.21 ± 0.56 years from CCTA examination. RESULTS Coronary artery disease (CAD) was found in 58 patients (93.55%) presenting 290 plaques. Analysis of all samples showed severe-to-occlusive atherosclerosis in 24 patients (38.7% of cases). However, over the degree of stenosis, 23 patients were evaluated at high risk considering the extension of CAD. Good agreement was shown by the correlation of CAD extension/risk estimation and MACE incidence, according to a Kaplan-Meier survival analysis (p value = 0.001), with a 7.25-fold increased risk (HR 7.25 CI 2.13-24.7; p value = 0.002). CONCLUSION Our study confirms the high capability of CCTA to properly stratify the CV risk of asymptomatic T2DM patients. Its use could be recommended if we consider how current investigative strategies to correctly assess these patients often seem inadequate.
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Bustin A, Milotta G, Ismail TF, Neji R, Botnar RM, Prieto C. Accelerated free-breathing whole-heart 3D T 2 mapping with high isotropic resolution. Magn Reson Med 2020; 83:988-1002. [PMID: 31535729 PMCID: PMC6899588 DOI: 10.1002/mrm.27989] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 08/07/2019] [Accepted: 08/16/2019] [Indexed: 01/07/2023]
Abstract
PURPOSE To enable free-breathing whole-heart 3D T2 mapping with high isotropic resolution in a clinically feasible and predictable scan time. This 3D motion-corrected undersampled signal matched (MUST) T2 map is achieved by combining an undersampled motion-compensated T2 -prepared Cartesian acquisition with a high-order patch-based reconstruction. METHODS The 3D MUST-T2 mapping acquisition consists of an electrocardiogram-triggered, T2 -prepared, balanced SSFP sequence with nonselective saturation pulses. Three undersampled T2 -weighted volumes are acquired using a 3D Cartesian variable-density sampling with increasing T2 preparation times. A 2D image-based navigator is used to correct for respiratory motion of the heart and allow 100% scan efficiency. Multicontrast high-dimensionality undersampled patch-based reconstruction is used in concert with dictionary matching to generate 3D T2 maps. The proposed framework was evaluated in simulations, phantom experiments, and in vivo (10 healthy subjects, 2 patients) with 1.5-mm3 isotropic resolution. Three-dimensional MUST-T2 was compared against standard multi-echo spin-echo sequence (phantom) and conventional breath-held single-shot 2D SSFP T2 mapping (in vivo). RESULTS Three-dimensional MUST-T2 showed high accuracy in phantom experiments (R2 > 0.99). The precision of T2 values was similar for 3D MUST-T2 and 2D balanced SSFP T2 mapping in vivo (5 ± 1 ms versus 4 ± 2 ms, P = .52). Slightly longer T2 values were observed with 3D MUST-T2 in comparison to 2D balanced SSFP T2 mapping (50.7 ± 2 ms versus 48.2 ± 1 ms, P < .05). Preliminary results in patients demonstrated T2 values in agreement with literature values. CONCLUSION The proposed approach enables free-breathing whole-heart 3D T2 mapping with high isotropic resolution in about 8 minutes, achieving accurate and precise T2 quantification of myocardial tissue in a clinically feasible scan time.
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Affiliation(s)
- Aurélien Bustin
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
| | - Giorgia Milotta
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
| | - Tevfik F. Ismail
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
| | - Radhouene Neji
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
- MR Research Collaborations, Siemens HealthcareFrimleyUnited Kingdom
| | - René M. Botnar
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
- Escuela de IngenieríaPontificia Universidad Católica de ChileSantiagoChile
| | - Claudia Prieto
- Department of Biomedical EngineeringSchool of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUnited Kingdom
- Escuela de IngenieríaPontificia Universidad Católica de ChileSantiagoChile
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Seraphim A, Knott KD, Augusto J, Bhuva AN, Manisty C, Moon JC. Quantitative cardiac MRI. J Magn Reson Imaging 2019; 51:693-711. [PMID: 31111616 DOI: 10.1002/jmri.26789] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 04/29/2019] [Indexed: 12/22/2022] Open
Abstract
Cardiac MRI has become an indispensable imaging modality in the investigation of patients with suspected heart disease. It has emerged as the gold standard test for cardiac function, volumes, and mass and allows noninvasive tissue characterization and the assessment of myocardial perfusion. Quantitative MRI already has a key role in the development and incorporation of machine learning in clinical imaging, potentially offering major improvements in both workflow efficiency and diagnostic accuracy. As the clinical applications of a wide range of quantitative cardiac MRI techniques are being explored and validated, we are expanding our capabilities for earlier detection, monitoring, and risk stratification of disease, potentially guiding personalized management decisions in various cardiac disease models. In this article we review established and emerging quantitative techniques, their clinical applications, highlight novel advances, and appraise their clinical diagnostic potential. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:693-711.
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Affiliation(s)
- Andreas Seraphim
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
| | - Kristopher D Knott
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
| | - Joao Augusto
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
| | - Anish N Bhuva
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
| | - Charlotte Manisty
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
| | - James C Moon
- University College London, Institute of Cardiovascular Science, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, UK
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Molecular Imaging to Monitor Left Ventricular Remodeling in Heart Failure. CURRENT CARDIOVASCULAR IMAGING REPORTS 2019. [DOI: 10.1007/s12410-019-9487-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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