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Jaspers TJM, Martens B, Crawley R, Jada L, Amirrajab S, Breeuwer M, Holtackers RJ, Chiribiri A, Scannell CM. Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance. Invest Radiol 2024:00004424-990000000-00213. [PMID: 38687025 DOI: 10.1097/rli.0000000000001086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
OBJECTIVES Dark-blood late gadolinium enhancement (DB-LGE) cardiac magnetic resonance has been proposed as an alternative to standard white-blood LGE (WB-LGE) imaging protocols to enhance scar-to-blood contrast without compromising scar-to-myocardium contrast. In practice, both DB and WB contrasts may have clinical utility, but acquiring both has the drawback of additional acquisition time. The aim of this study was to develop and evaluate a deep learning method to generate synthetic WB-LGE images from DB-LGE, allowing the assessment of both contrasts without additional scan time. MATERIALS AND METHODS DB-LGE and WB-LGE data from 215 patients were used to train 2 types of unpaired image-to-image translation deep learning models, cycle-consistent generative adversarial network (CycleGAN) and contrastive unpaired translation, with 5 different loss function hyperparameter settings each. Initially, the best hyperparameter setting was determined for each model type based on the Fréchet inception distance and the visual assessment of expert readers. Then, the CycleGAN and contrastive unpaired translation models with the optimal hyperparameters were directly compared. Finally, with the best model chosen, the quantification of scar based on the synthetic WB-LGE images was compared with the truly acquired WB-LGE. RESULTS The CycleGAN architecture for unpaired image-to-image translation was found to provide the most realistic synthetic WB-LGE images from DB-LGE images. The results showed that it was difficult for visual readers to distinguish if an image was true or synthetic (55% correctly classified). In addition, scar burden quantification with the synthetic data was highly correlated with the analysis of the truly acquired images. Bland-Altman analysis found a mean bias in percentage scar burden between the quantification of the real WB and synthetic white-blood images of 0.44% with limits of agreement from -10.85% to 11.74%. The mean image quality of the real WB images (3.53/5) was scored higher than the synthetic white-blood images (3.03), P = 0.009. CONCLUSIONS This study proposed a CycleGAN model to generate synthetic WB-LGE from DB-LGE images to allow assessment of both image contrasts without additional scan time. This work represents a clinically focused assessment of synthetic medical images generated by artificial intelligence, a topic with significant potential for a multitude of applications. However, further evaluation is warranted before clinical adoption.
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Affiliation(s)
- Tim J M Jaspers
- From the Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands (T.J.M.J., S.A., M.B., C.M.S.); School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom (T.J.M.J., R.C., L.J., R.J.H., A.C., C.M.S.); Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands (T.J.M.J.); Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands (B.M., R.J.H.); and Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands (B.M., R.J.H.)
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Lamb HJ. Editorial for "Use of Real-Time Cine MRI to Assess the Respirophasic Variation of the Inferior Vena Cava-Proof-of-Concept and Validation Against Transthoracic Echocardiography". J Magn Reson Imaging 2024; 59:1818-1819. [PMID: 37341630 DOI: 10.1002/jmri.28875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
Level of Evidence5Technical Efficacy Stage1
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Affiliation(s)
- Hildo J Lamb
- Cardio Vascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Centre, 2333, Leiden, The Netherlands
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3
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Weihsbach C, Vogt N, Al-Haj Hemidi Z, Bigalke A, Hansen L, Oster J, Heinrich MP. AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. SENSORS (BASEL, SWITZERLAND) 2024; 24:2296. [PMID: 38610507 PMCID: PMC11014047 DOI: 10.3390/s24072296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/27/2024] [Accepted: 03/30/2024] [Indexed: 04/14/2024]
Abstract
In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due to the artifacts generated by the heart's continuous movement. Volumetric, fully isotropic data acquisition with high temporal resolution is, to date, intractable due to MR physics constraints. To assess whole-heart movement under minimal acquisition time, we propose a deep learning model that reconstructs the volumetric shape of multiple cardiac chambers from a limited number of input slices while simultaneously optimizing the slice acquisition orientation for this task. We mimic the current clinical protocols for cardiac imaging and compare the shape reconstruction quality of standard clinical views and optimized views. In our experiments, we show that the jointly trained model achieves accurate high-resolution multi-chamber shape reconstruction with errors of <13 mm HD95 and Dice scores of >80%, indicating its effectiveness in both simulated cardiac cine MRI and clinical cardiac MRI with a wide range of pathological shape variations.
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Affiliation(s)
- Christian Weihsbach
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany; (Z.A.-H.H.); (A.B.); (M.P.H.)
| | - Nora Vogt
- IADI U1254, Inserm, Université de Lorraine, 54511 Nancy, France
| | - Ziad Al-Haj Hemidi
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany; (Z.A.-H.H.); (A.B.); (M.P.H.)
| | - Alexander Bigalke
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany; (Z.A.-H.H.); (A.B.); (M.P.H.)
| | | | - Julien Oster
- IADI U1254, Inserm, Université de Lorraine, 54511 Nancy, France
- CHRU-Nancy, Inserm, Université de Lorraine, CIC 1433, Innovation Technologique, 54000 Nancy, France
| | - Mattias P. Heinrich
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany; (Z.A.-H.H.); (A.B.); (M.P.H.)
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4
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Emrich T, Wintersperger BJ, Greco FD, Suchá D, Natale L, Paar MH, Francone M. ESR Essentials: ten steps to cardiac MR-practice recommendations by ESCR. Eur Radiol 2024; 34:2140-2151. [PMID: 38379017 DOI: 10.1007/s00330-024-10605-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 02/22/2024]
Abstract
Cardiovascular MR imaging has become an indispensable noninvasive tool in diagnosing and monitoring a broad range of cardiovascular diseases. Key to its clinical success and efficiency are appropriate clinical indication triage, technical expertise, patient safety, standardized preparation and execution, quality assurance, efficient post-processing, structured reporting, and communication and clinical integration of findings. Technological advancements are driving faster, more accessible, and cost-effective approaches. This ESR Essentials article presents a ten-step guide for implementing a cardiovascular MR program, covering indication assessments, optimized imaging, post-processing, and detailed reporting. Future goals include streamlined protocols, improved tissue characterization, and automation for greater standardization and efficiency. CLINICAL RELEVANCE STATEMENT The growing clinical role of cardiovascular MR in risk assessment, diagnosis, and treatment planning highlights the necessity for radiologists to achieve expertise in this modality, advancing precision medicine and healthcare efficiency. KEY POINTS • Cardiovascular MR is essential in diagnosing and monitoring many acute and chronic cardiovascular pathologies. • Features such as technical expertise, quality assurance, patient safety, and optimized tailored imaging protocols, among others, are essential for a successful cardiovascular MR program. • Ongoing technological advances will push rapid multi-parametric cardiovascular MR, thus improving accessibility, patient comfort, and cost-effectiveness. KEY POINTS • Cardiovascular MR is essential in diagnosing and monitoring a wide array of cardiovascular pathologies (Level of Evidence: High). • A successful cardiovascular MR program depends on standardization (Level of Evidence: Low). • Future developments will increase the efficiency and accessibility of cardiovascular MR (Level of Evidence: Low).
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Affiliation(s)
- Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
- German Centre for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
| | - Bernd J Wintersperger
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, ON, Canada
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Fabio Domenico Greco
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Cardiovascular Magnetic Resonance Unit, Bristol Heart Institute, Bristol, UK
| | - Dominika Suchá
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Luigi Natale
- Department of Radiological Sciences - Institute of Radiology, Catholic University of Rome, "A. Gemelli" University Hospital, Rome, Italy
| | - Maja Hrabak Paar
- Department of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Croatia
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.
- IRCCS Humanitas Research Hospital, Milan, Italy.
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5
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Chaban YV, Vosshenrich J, McKee H, Gunasekaran S, Brown MJ, Atalay MK, Heye T, Markl M, Woolen SA, Simonetti OP, Hanneman K. Environmental Sustainability and MRI: Challenges, Opportunities, and a Call for Action. J Magn Reson Imaging 2024; 59:1149-1167. [PMID: 37694980 DOI: 10.1002/jmri.28994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/12/2023] Open
Abstract
The environmental impact of magnetic resonance imaging (MRI) has recently come into focus. This includes its enormous demand for electricity compared to other imaging modalities and contamination of water bodies with anthropogenic gadolinium related to contrast administration. Given the pressing threat of climate change, addressing these challenges to improve the environmental sustainability of MRI is imperative. The purpose of this review is to discuss the challenges, opportunities, and the need for action to reduce the environmental impact of MRI and prepare for the effects of climate change. The approaches outlined are categorized as strategies to reduce greenhouse gas (GHG) emissions from MRI during production and use phases, approaches to reduce the environmental impact of MRI including the preservation of finite resources, and development of adaption plans to prepare for the impact of climate change. Co-benefits of these strategies are emphasized including lower GHG emission and reduced cost along with improved heath and patient satisfaction. Although MRI is energy-intensive, there are many steps that can be taken now to improve the environmental sustainability of MRI and prepare for the effects of climate change. On-going research, technical development, and collaboration with industry partners are needed to achieve further reductions in MRI-related GHG emissions and to decrease the reliance on finite resources. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 6.
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Affiliation(s)
- Yuri V Chaban
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jan Vosshenrich
- Department of Radiology, University Hospital Basel, Basel, Switzerland
| | - Hayley McKee
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Suvai Gunasekaran
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Maura J Brown
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael K Atalay
- Department of Diagnostic Imaging, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Tobias Heye
- Department of Radiology, University Hospital Basel, Basel, Switzerland
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Sean A Woolen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | | | - Kate Hanneman
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada
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Andrews A, Doctor P, Gaur L, Greil FG, Hussain T, Zou Q. Manifold-based denoising for Ferumoxytol-enhanced 3D cardiac cine MRI. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:3695-3712. [PMID: 38549302 DOI: 10.3934/mbe.2024163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The two-dimensional (2D) cine cardiovascular magnetic resonance (CMR) technique is the reference standard for assessing cardiac function. However, one challenge with 2D cine is that the acquisition time for the whole cine stack is long and requires multiple breath holds, which may not be feasible for pediatric or ill patients. Though single breath-hold multi-slice cine may address the issue, it can only acquire low-resolution images, and hence, affect the accuracy of cardiac function assessment. To address these challenges, a Ferumoxytol-enhanced, free breathing, isotropic high-resolution 3D cine technique was developed. The method produces high-contrast cine images with short acquisition times by using compressed sensing together with a manifold-based method for image denoising. This study included fifteen patients (9.1 $ \pm $ 5.6 yrs.) who were referred for clinical cardiovascular magnetic resonance imaging (MRI) with Ferumoxytol contrast and were prescribed the 3D cine sequence. The data was acquired on a 1.5T scanner. Statistical analysis shows that the manifold-based denoised 3D cine can accurately measure ventricular function with no significant differences when compared to the conventional 2D breath-hold (BH) cine. The multiplanar reconstructed images of the proposed 3D cine method are visually comparable to the golden standard 2D BH cine method in terms of clarity, contrast, and anatomical precision. The proposed method eliminated the need for breath holds, reduced scan times, enabled multiplanar reconstruction within an isotropic data set, and has the potential to be used as an effective tool to access cardiovascular conditions.
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Affiliation(s)
- Anna Andrews
- Department of Biomedical Engineering, Mercer University, Macon, USA
| | - Pezad Doctor
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Lasya Gaur
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - F Gerald Greil
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tarique Hussain
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Qing Zou
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA
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7
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Cau R, Pisu F, Suri JS, Pontone G, D’Angelo T, Zha Y, Salgado R, Saba L. Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis. J Clin Med 2024; 13:662. [PMID: 38337355 PMCID: PMC10856157 DOI: 10.3390/jcm13030662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/12/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
(1) Objective: Myocarditis can be associated with ventricular arrhythmia (VA), individual non-invasive risk stratification through cardiovascular magnetic resonance (CMR) is of great clinical significance. Our study aimed to explore whether left atrial (LA) and left ventricle (LV) myocardial strain serve as independent predictors of VA in patients with myocarditis. (2) Methods: This retrospective study evaluated CMR scans in 141 consecutive patients diagnosed with myocarditis based on the updated Lake Louise criteria (29 females, mean age 41 ± 20). The primary endpoint was VA; this encompassed ventricular fibrillation, sustained ventricular tachycardia, nonsustained ventricular tachycardia, and frequent premature ventricular complexes. LA and LV strain function were performed on conventional cine SSFP sequences. (3) Results: After a median follow-up time of 23 months (interquartile range (18-30)), 17 patients with acute myocarditis reached the primary endpoint. In the multivariable Cox regression analysis, LA reservoir (hazard ratio [HR] and 95% confidence interval [CI]: 0.93 [0.87-0.99], p = 0.02), LA booster (0.87 95% CI [0.76-0.99], p = 0.04), LV global longitudinal (1.26 95% CI [1.02-1.55], p = 0.03), circumferential (1.37 95% CI [1.08-1.73], p = 0.008), and radial strain (0.89 95% CI [0.80-0.98], p = 0.01) were all independent determinants of VA. Patients with LV global circumferential strain > -13.3% exhibited worse event-free survival compared to those with values ≤ -13.3% (p < 0.0001). (4) Conclusions: LA and LV strain mechanism on CMR are independently associated with VA events in patients with myocarditis, independent to LV ejection fraction, and late gadolinium enhancement location. Incorporating myocardial strain parameters into the management of myocarditis may improve risk stratification.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Jasjit S. Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 95661, USA;
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy;
| | - Tommaso D’Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, G. Martino University Hospital, University of Messina, 98124 Messina, Italy;
- Department of Radiology and Nuclear Medicine, Erasmus MC, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Yunfei Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Hubei General Hospital, Wuhan 430064, China;
| | - Rodrigo Salgado
- Department of Radiology, Universitair Ziekenhuis Antwerpen, 2650 Edegem, Belgium;
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
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Christodoulou AG, Cruz G, Arami A, Weingärtner S, Artico J, Peters D, Seiberlich N. The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1). J Cardiovasc Magn Reson 2024; 26:100997. [PMID: 38237900 DOI: 10.1016/j.jocmr.2024.100997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/10/2024] [Indexed: 02/26/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) protocols can be lengthy and complex, which has driven the research community to develop new technologies to make these protocols more efficient and patient-friendly. Two different approaches to improving CMR have been proposed, specifically "all-in-one" CMR, where several contrasts and/or motion states are acquired simultaneously, and "real-time" CMR, in which the examination is accelerated to avoid the need for breathholding and/or cardiac gating. The goal of this two-part manuscript is to describe these two different types of emerging rapid CMR. To this end, the vision of each is described, along with techniques which have been devised and tested along the pathway of clinical implementation. The pros and cons of the different methods are presented, and the remaining open needs of each are detailed. Part 1 will tackle the "all-in-one" approaches, and Part 2 the "real-time" approaches along with an overall summary of these emerging methods.
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Affiliation(s)
- Anthony G Christodoulou
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Gastao Cruz
- Michigan Institute for Imaging Technology and Translation, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Ayda Arami
- Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Sebastian Weingärtner
- Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands
| | | | - Dana Peters
- Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Nicole Seiberlich
- Michigan Institute for Imaging Technology and Translation, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
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9
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Contijoch F, Rasche V, Seiberlich N, Peters DC. The future of CMR: All-in-one vs. real-time CMR (Part 2). J Cardiovasc Magn Reson 2024; 26:100998. [PMID: 38237901 DOI: 10.1016/j.jocmr.2024.100998] [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: 12/21/2023] [Accepted: 01/10/2024] [Indexed: 02/20/2024] Open
Abstract
Cardiac Magnetic Resonance (CMR) protocols can be lengthy and complex, which has driven the research community to develop new technologies to make these protocols more efficient and patient-friendly. Two different approaches to improving CMR have been proposed, specifically "all-in-one" CMR, where several contrasts and/or motion states are acquired simultaneously, and "real-time" CMR, in which the examination is accelerated to avoid the need for breathholding and/or cardiac gating. The goal of this two-part manuscript is to describe these two different types of emerging rapid CMR protocols. To this end, the vision of all-in-one and real-time imaging are described, along with techniques which have been devised and tested along the pathway of clinical implementation. The pros and cons of the different methods are presented, and the remaining open needs of each are detailed. Part 1 tackles the "All-in-One" approaches, and Part 2 focuses on the "Real-Time" approaches along with an overall summary of these emerging methods.
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Affiliation(s)
| | - Volker Rasche
- Ulm University Medical Center, Department of Internal Medicine II, Ulm, Germany
| | - Nicole Seiberlich
- Michigan Institute for Imaging Technology and Translation, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
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10
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Nguyen ET, Ordovas K, Herbst P, Kozor R, Ng MY, Natale L, Nijveldt R, Salgado R, Sanchez F, Shah D, Stojanovska J, Valente AM, Westwood M, Plein S. Competency based curriculum for cardiovascular magnetic resonance: A position statement of the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson 2023; 26:100006. [PMID: 38215698 DOI: 10.1016/j.jocmr.2023.100006] [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: 11/27/2023] [Accepted: 12/10/2023] [Indexed: 01/14/2024] Open
Abstract
This position statement guides cardiovascular magnetic resonance (CMR) imaging program directors and learners on the key competencies required for Level II and III CMR practitioners, whether trainees come from a radiology or cardiology background. This document is built upon existing curricula and was created and vetted by an international panel of cardiologists and radiologists on behalf of the Society for Cardiovascular Magnetic Resonance (SCMR).
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Affiliation(s)
- Elsie T Nguyen
- University Medical Imaging Toronto, Peter Munk Cardiac Center, Toronto General Hospital, University of Toronto, Toronto, Canada.
| | | | - Phil Herbst
- Cardiology, Stellenbosch University, South Africa
| | - Rebecca Kozor
- Royal North Shore Hospital, University of Sydney, Sydney, Australia
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, Division Chief of Cardiac Imaging, HKU-Shenzhen Hospital, China
| | | | - Robin Nijveldt
- Radboud University Medical Centre, Nijmegen, Netherlands
| | - Rodrigo Salgado
- Antwerp University Hospital and University of Antwerp, Belgium; Dept. of Radiology, Holy Heart Lier, Belgium
| | - Felipe Sanchez
- Hospital Barros Luco Trudeau - Clinica Santa Maria, Santiago, Chile
| | - Dipan Shah
- Division of Cardiovascular Imaging, Houston, TX, USA
| | | | - Anne Marie Valente
- Harvard Medical School, Boston Children's Hospital, Brigham and Women's Hospital, Boston, MA, USA
| | - Mark Westwood
- Centre for Cardiovascular Imaging, William Harvey Research Institute, Queen Mary University of London, United Kingdom
| | - Sven Plein
- British Heart Foundation Professor of Cardiovascular Imaging, University of Leeds, United Kingdom
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11
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Swoboda PP, Matthews GD, Garg P, Plein S, Greenwood JP. Comparison of Stress-Rest and Stress-LGE Analysis Strategy in Patients Undergoing Stress Perfusion Cardiovascular Magnetic Resonance. Circ Cardiovasc Imaging 2023; 16:e014765. [PMID: 38054378 PMCID: PMC7615405 DOI: 10.1161/circimaging.123.014765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/02/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Stress perfusion cardiovascular magnetic resonance can be performed without rest perfusion for the quantification of ischemia burden. However, the optimal method of analysis is uncertain. METHODS We identified 666 patients from CE-MARC (Clinical Evaluation of Magnetic Resonance Imaging in Coronary Heart Disease) with complete stress perfusion, rest perfusion, late gadolinium enhancement (LGE), and quantitative coronary angiography data. For each segment of the 16-segment model, perfusion was visually graded during stress and rest imaging, with infarct transmurality assessed from LGE imaging. In the stress-LGE analysis, a segment was defined as ischemic if it had a subendocardial perfusion defect with no infarction. Rest perfusion was not used in this analysis. We compared the diagnostic accuracy of stress-LGE analysis against quantitative coronary angiography and the stress-rest method validated in the original CE-MARC analysis. The diagnostic accuracy of the stress-LGE method was evaluated with different thresholds of infarct transmurality used to define whether an infarcted segment had peri-infarct ischemia. RESULTS The optimal stress-LGE analysis classified all segments with a stress perfusion defect as ischemic unless they had >75% infarct transmurality (area under the curve, 0.843; sensitivity, 75.6%; specificity, 93.1%; P<0.001). This analysis method has superior diagnostic accuracy to the stress-rest method (area under the curve, 0.834; sensitivity, 73.6%; specificity, 93.1%; P<0.001, P value for difference=0.02). Patients were followed-up for median 6.5 years for major adverse cardiovascular events, with the presence of inducible ischemia by either the stress-LGE or stress-rest analysis being similar and strongly predictive (hazard ratio, 2.65; P<0.001, for both). CONCLUSIONS In this analysis of CE-MARC, the optimum definition of inducible ischemia was the presence of a stress-induced perfusion defect without transmural infarction. This definition improved the diagnostic accuracy compared with the stress-rest analysis validated in the original study. The absence of ischemia by either analysis strategy conferred a favorable long-term prognosis.
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Affiliation(s)
- Peter P. Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Gareth D.K. Matthews
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - John P. Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
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12
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Bandettini WP, Kwong RY, Patel AR, Plein S. Society for Cardiovascular Magnetic Resonance perspective on the ACC/AHA/ASE/ASNC/ASPC/HFSA/HRS/SCAI/SCCT/SCMR/STS 2023 multi-modality appropriate use criteria for the detection and risk assessment of chronic coronary disease. J Cardiovasc Magn Reson 2023; 25:59. [PMID: 37858255 PMCID: PMC10585828 DOI: 10.1186/s12968-023-00959-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/25/2023] [Indexed: 10/21/2023] Open
Affiliation(s)
- W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Amit R Patel
- Cardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
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13
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Yu C, Meier S, Bestawros D, Sun D, Trieu J, Yong ASC, Wong CCY, Yiannikas J, Kritharides L, Beltrame JF, Naoum C. Role of Cardiac Magnetic Resonance Imaging and Troponin T in Definitive Diagnosis of Myocardial Infarction With Nonobstructive Coronary Arteries (MINOCA). Can J Cardiol 2023; 39:936-944. [PMID: 37080291 DOI: 10.1016/j.cjca.2023.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/08/2023] [Accepted: 04/11/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND It is unknown whether the degree of high-sensitivity troponin T (hsTropT) elevation in patients with suspected myocardial infarction without obstructive coronary arteries (MINOCA) presentations can help predict the likelihood of an abnormal cardiac magnetic resonance (CMR) scan. In this study we describe the diagnostic utility of CMR in patients with MINOCA and assesses the effect of peak hsTropT levels at presentation on CMR diagnostic yield. METHODS Records of consecutive patients (n = 1407) referred for CMR at a tertiary referral hospital between January 2016 and September 2021 were reviewed. A total of 70 patients met the criteria of MINOCA including ischemic chest pain, elevated peak hsTropT, and nonobstructive coronary artery disease (< 50% stenosis). The peak hsTropT levels within 72 hours of admission were identified. CMR images were generated using a 3.0 T Siemens scanner. Predictors of having an abnormal CMR were evaluated. RESULTS CMR established a diagnosis in 71% (n = 50) of patients, with the most common CMR diagnosis being myopericarditis (n = 27; 39%). Time to CMR was an independent predictor of a normal CMR scan (odds ratio, 0.98; 95% confidence interval, 0.97-0.999). Peak hsTropT had a high diagnostic accuracy for identifying patients with an abnormal CMR scan (area under the receiver operator characteristic curve, 0.81; P < 0.001). The optimal hsTropT cutoff was 166 ng/L, with 72% sensitivity and specificity. A troponin value ≥ 166 ng/L was independently predictive of an abnormal CMR scan (odds ratio, 4.76; 95% confidence interval, 1.32-17.11). CONCLUSIONS HsTropT and early CMR imaging are independently predictive of an abnormal CMR scan in patients with MINOCA. Additionally, the use of a hsTropT cutoff provides incremental predictive value to clinical parameters and time to CMR scanning in determining an abnormal scan.
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Affiliation(s)
- Christopher Yu
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Silvan Meier
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - Dina Bestawros
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - David Sun
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - Joseph Trieu
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - Andy S C Yong
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Christopher C Y Wong
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - John Yiannikas
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Leonard Kritharides
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - John F Beltrame
- Cardiology Department, The Queen Elizabeth Hospital, Adelaide, South Australia, Australia; Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Christopher Naoum
- Department of Cardiology, Concord Repatriation General Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
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14
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Maroun A, Baraboo JJ, Gunasekaran S, Hwang JM, Liu SZ, Passman RS, Kim D, Allen BD, Markl M, Pradella M. Comparison of Biplane Area-Length Method and 3D Volume Quantification by Using Cardiac MRI for Assessment of Left Atrial Volume in Atrial Fibrillation. Radiol Cardiothorac Imaging 2023; 5:e220133. [PMID: 37124639 PMCID: PMC10141302 DOI: 10.1148/ryct.220133] [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: 06/28/2022] [Revised: 02/06/2023] [Accepted: 03/13/2023] [Indexed: 05/02/2023]
Abstract
Purpose To compare maximum left atrial (LA) volume (LAV) from the routinely used biplane area-length (BAL) method with three-dimensional (3D)-based volumetry from late gadolinium-enhanced MRI (3D LGE MRI) and contrast-enhanced MR angiography (3D CE-MRA) in patients with atrial fibrillation (AF). Materials and Methods Sixty-four patients with AF (mean age, 63 years ± 9 [SD]; 40 male patients) were retrospectively included from a prospective cohort acquired between October 2018 and February 2021. All patients underwent a research MRI examination that included standard two- and four-chamber cine acquisitions, 3D CE-MRA, and 3D LGE MRI performed prior to the atrial kick. Contour delineation on cine imaging and LA 3D segmentations were performed by a radiologist. Maximum LAV (BALmax) was extracted from the BAL volume-time curve and compared with LAV from 3D CE-MRA and 3D LGE MRI. The Kruskal-Wallis test was performed, followed by the Dunn post hoc test and Bland-Altman analyses. Interobserver variability was assessed in 10 patients. Results BALmax underestimated LAV compared with 3D CE-MRA (bias: -23.5 mL ± 46.2, P < .001) and 3D LGE MRI (bias: -31.3 mL ± 58.3, P < .001), whereas 3D LGE MRI volumes showed no evidence of a difference from 3D CE-MRA (bias: 7.8 mL ± 45.7, P = .38). Interobserver variability yielded excellent agreement for each method (intraclass correlation coefficient, 0.96-0.98). Conclusion BALmax underestimated LAV in patients with AF compared with 3D LGE MRI and 3D CE-MRA, suggesting that the geometric assumption of an ellipsoidal LA shape in BAL does not reflect LA geometry in patients with AF.Keywords: Left Atrial Volume, Biplane Area-Length, Late Gadolinium-enhanced 3D MRI, Contrast-enhanced 3D MR Angiography, Atrial Fibrillation Supplemental material is available for this article. © RSNA, 2023.
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15
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Scannell CM, Alskaf E, Sharrack N, Razavi R, Ourselin S, Young AA, Plein S, Chiribiri A. AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:12-21. [PMID: 36743875 PMCID: PMC9890084 DOI: 10.1093/ehjdh/ztac074] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/23/2022] [Indexed: 12/12/2022]
Abstract
Aims One of the major challenges in the quantification of myocardial blood flow (MBF) from stress perfusion cardiac magnetic resonance (CMR) is the estimation of the arterial input function (AIF). This is due to the non-linear relationship between the concentration of gadolinium and the MR signal, which leads to signal saturation. In this work, we show that a deep learning model can be trained to predict the unsaturated AIF from standard images, using the reference dual-sequence acquisition AIFs (DS-AIFs) for training. Methods and results A 1D U-Net was trained, to take the saturated AIF from the standard images as input and predict the unsaturated AIF, using the data from 201 patients from centre 1 and a test set comprised of both an independent cohort of consecutive patients from centre 1 and an external cohort of patients from centre 2 (n = 44). Fully-automated MBF was compared between the DS-AIF and AI-AIF methods using the Mann-Whitney U test and Bland-Altman analysis. There was no statistical difference between the MBF quantified with the DS-AIF [2.77 mL/min/g (1.08)] and predicted with the AI-AIF (2.79 mL/min/g (1.08), P = 0.33. Bland-Altman analysis shows minimal bias between the DS-AIF and AI-AIF methods for quantitative MBF (bias of -0.11 mL/min/g). Additionally, the MBF diagnosis classification of the AI-AIF matched the DS-AIF in 669/704 (95%) of myocardial segments. Conclusion Quantification of stress perfusion CMR is feasible with a single-sequence acquisition and a single contrast injection using an AI-based correction of the AIF.
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Affiliation(s)
- Cian M Scannell
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK.,Department of Biomedical Engineering, Eindhoven University of Technology, Gemini-Zuid, Groene Loper 5, 5612 Eindhoven, The Netherlands
| | - Ebraham Alskaf
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK
| | - Noor Sharrack
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Reza Razavi
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK
| | - Alistair A Young
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK
| | - Sven Plein
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK.,Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Amedeo Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK
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16
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Yuan H, Qiu J, Chiu KWH, Chan LWC, Zhang F, Wei X, Jiang L. PET/CT morphology and cardiac conduction disorders help discriminate primary cardiac lymphoma from primary cardiac sarcoma. J Nucl Cardiol 2022; 29:2866-2877. [PMID: 35790691 DOI: 10.1007/s12350-022-03042-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/09/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Primary cardiac lymphoma (PCL) and primary cardiac sarcoma (PCS) are similar in clinical presentation but differ in management and outcomes. We aim to explore the role of PET morphology and clinical characteristics in distinguishing PCL from PCS. METHODS Pretreatment 18F-FDG PET/CT and contrast-enhanced CT were performed in PCL (n = 14) and PCS (n = 15) patients. Patient demographics, overall survival, and progression-free survival were reviewed. PET/CT morphological and metabolic features were extracted. Specifically, R_Kurtosis, a PET-morphology parameter reflecting the tumor expansion within the heart, was calculated. RESULTS Compared with PCS, PCL occurred at an older age, resulted in more cardiac dysfunctions and arrhythmias, and showed higher glucometabolism (SUVmax, SUVpeak, SUVmean, MTV, and TLG). Curative treatments improved survival for PCL but not for PCS. Multivariable logistic regression identified R_Kurtosis (OR = 27.025, P = .007) and cardiac conduction disorders (OR = 37.732, P = .016) independently predictive of PCL, and classification and regression tree analysis stratified patients into three subgroups: R_Kurtosis ≥ 0.044 (probability of PCL 88.9%), R_Kurtosis < 0.044 with conduction disorders (80.0%), and R_Kurtosis < 0.044 without conduction disorders (13.3%). CONCLUSION PET-derived tumor expansion pattern (R_Kurtosis) and cardiac conduction disorders were helpful in distinguishing PCL from PCS, which might assist the clinical management.
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Affiliation(s)
- Hui Yuan
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China
| | - Jia Qiu
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Keith W H Chiu
- Department of Diagnostic and Interventional Radiology, Kwong Wah Hospital, Hong Kong SAR, China
| | - Lawrence W C Chan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Fen Zhang
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaojuan Wei
- Division of Lymphoma, Department of Clinical Oncology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
| | - Lei Jiang
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
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17
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Sanguineti F, Duhamel S, Garot P, Garot J. [The role of Cardiovascular Magnetic Resonance in Interventional Cardiology]. Ann Cardiol Angeiol (Paris) 2022; 71:362-367. [PMID: 36229237 DOI: 10.1016/j.ancard.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Cardiovascular magnetic resonance has emerged as a very helpful tool for the interventional cardiologists not only in the assessment and treatment of coronary artery disease, but also in the evaluation of various structural cardiac diseases. The main pulse sequences are standardised, acquired during short breath-holds, and include steady-state free precession cines, dynamic myocardial first-pass perfusion imaging during contrast injection, and late enhancement imaging for the identification of myocardial substrates. Less than 30-minute CMR studies are now available for the most common clinical indications. More recently, T1 and T2 parametric myocardial maps are promising for detailed myocardial tissue characterisation (edema, replacement fibrosis, diffuse interstitial fibrosis). Technical aspects will not be addressed with particular emphasis on clinical applications.
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Affiliation(s)
- Francesca Sanguineti
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France; Institut Cardiovasculaire Paris Sud, Cardiologie Interventionnelle, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Suzanne Duhamel
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Philippe Garot
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France; Institut Cardiovasculaire Paris Sud, Cardiologie Interventionnelle, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Jérôme Garot
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France.
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18
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Ojha V, Khalique OK, Khurana R, Lorenzatti D, Leung SW, Lawton B, Slesnick TC, Cavalcante JC, Ducci CB, Patel AR, Prieto CC, Plein S, Raman SV, Salerno M, Parwani P. Highlights of the Virtual Society for Cardiovascular Magnetic Resonance 2022 Scientific Conference: CMR: improving cardiovascular care around the world. J Cardiovasc Magn Reson 2022; 24:38. [PMID: 35725565 PMCID: PMC9207863 DOI: 10.1186/s12968-022-00870-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/08/2022] [Indexed: 11/25/2022] Open
Abstract
The 25th Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions saw 1524 registered participants from more than 50 countries attending the meeting virtually. Supporting the theme "CMR: Improving Cardiovascular Care Around the World", the meeting included 179 invited talks, 52 sessions including 3 plenary sessions, 2 keynote talks, and a total of 93 cases and 416 posters. The sessions were designed so as to showcase the multifaceted role of cardiovascular magnetic resonance (CMR) in identifying and prognosticating various myocardial pathologies. Additionally, various social networking sessions as well as fun activities were organized. The major areas of focus for the future are likely to be rapid efficient and high value CMR exams, automated and quantitative acquisition and post-processing using artificial intelligence and machine learning, multi-contrast imaging and advanced vascular imaging including 4D flow.
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Affiliation(s)
- Vineeta Ojha
- All India Institute of Medical Sciences, New Delhi, India
| | | | | | | | - Steve W Leung
- Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY, USA
| | | | | | | | | | - Amit R Patel
- Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA
| | - Claudia C Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Subha V Raman
- Indiana University Cardiovascular Institute and Krannert Cardiovascular Research Center, Indianapolis, IN, USA
| | - Michael Salerno
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Purvi Parwani
- Division of Cardiology, Department of Medicine, Loma Linda University Health, Loma Linda University Medical Center, Loma Linda, CA, USA.
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19
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Gastl M, Sokolska JM, Polacin M, Gotschy A, von Spiczak Brzezinski J, Alkadhi H, Kozerke S, Manka R. Parametric mapping CMR for the measurement of inflammatory reactions of the pericardium. Open Heart 2022; 9:openhrt-2021-001919. [PMID: 35618324 PMCID: PMC9137334 DOI: 10.1136/openhrt-2021-001919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 05/04/2022] [Indexed: 12/05/2022] Open
Abstract
Objectives Although cardiovascular magnetic resonance (CMR) is increasingly used to diagnose pericardial inflammation, imaging can still be challenging using conventional CMR techniques. Parametric mapping (T1/T2 mapping) techniques have emerged as novel methods to quantify focal and global changes of the myocardium without contrast agent. The aim of the present study was to implement parametric mapping to facilitate diagnostic decision-making in pericardial inflammation. Methods Twenty patients with pericardial inflammation underwent CMR (1.5T system) including T1-weighted/T2-weighted imaging, T1/T2 mapping and late gadolinium enhancement. T1/T2 mapping was performed in end-diastole covering three short-axis slices. Diagnosis of pericardial inflammation was made according to recent guidelines. T1/T2 measurements were pursued by manually drawing regions of interest (ROIs) in the thickened, diseased pericardium carefully avoiding contamination by other cardiac structures. Parametric values were correlated to further markers of pericardial inflammation, such as pericardial thickening and inflammatory parameters. Results On average, the pericardium displayed a thickness of 4.8±1.0 mm. Mean T1 value was 1363.0±227.1 ms and T2 value was 123.3±52.6 ms, which were above patient’s myocardial values (myocardial T1: 998.7±81.0 ms, p<0.001, median 1014.46 ms; T2: 68.0±28.9 m, p<0.001) and the values of a group of four patients with chronic pericarditis (T1: 953.0±16.7 ms; T2: 63.2±10.1 ms). T1 and T2 showed a correlation to the extent of the thickened pericardium (R=0.64, p=0.002 for T1, R=0.72, p=0.005 for T2). There was no correlation of pericardial T1/T2 to blood markers of inflammation, myocardial injury (C reactive protein, troponin, creatine kinase) or further CMR parameters. Conclusions In patients with pericardial inflammation, parametric mapping showed elevated T1 and T2 values. Parametric mapping may help to facilitate diagnosis of pericardial inflammation if conventional parameters such as pericardial hyperintensity in T1-weighted or T2-weighted imaging or contrast agent uptake are heterogeneous.
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Affiliation(s)
- Mareike Gastl
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland.,Division of Cardiology, Pulmonology and Vascular Medicine, Heinrich Heine University Dusseldorf, Dusseldorf, Germany.,Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland
| | - Justyna M Sokolska
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland.,Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | - Malgorzata Polacin
- Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland.,Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Alexander Gotschy
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland.,Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland
| | | | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland
| | - Robert Manka
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland .,Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland
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