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Dhore-Patil A, Modi V, Gabr EM, Bersali A, Darwish A, Shah D. Cardiac magnetic resonance findings in cardiac amyloidosis. Curr Opin Cardiol 2024; 39:395-406. [PMID: 38963426 DOI: 10.1097/hco.0000000000001166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
PURPOSE OF REVIEW The purpose of this review is to highlight the increasing importance of cardiac magnetic resonance (CMR) imaging in diagnosing and managing cardiac amyloidosis, especially given the recent advancements in treatment options. RECENT FINDINGS This review emphasizes the crucial role of late gadolinium enhancement (LGE) with phase-sensitive inversion recovery (PSIR) techniques in both diagnosing and predicting patient outcomes in cardiac amyloidosis. The review also explores promising new techniques for diagnosing early-stage disease, such as native T1 mapping and ECV quantification. Additionally, it delves into experimental techniques like diffusion tensor imaging, MR elastography, and spectroscopy. SUMMARY This review underscores CMR as a powerful tool for diagnosing cardiac amyloidosis, assessing risk factors, and monitoring treatment response. While LGE imaging remains the current best practice for diagnosis, emerging techniques such as T1 mapping and ECV quantification offer promise for improved detection, particularly in early stages of the disease. This has significant implications for patient management as newer therapeutic options become available for cardiac amyloidosis.
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Affiliation(s)
- Aneesh Dhore-Patil
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, Houston, Texas, USA
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Li S, Wang Z, Fu W, Li F, Gu H, Cui N, Lin Y, Xie M, Yang Y. Left Ventricular Papillary Muscle: Anatomy, Pathophysiology, and Multimodal Evaluation. Diagnostics (Basel) 2024; 14:1270. [PMID: 38928685 PMCID: PMC11202998 DOI: 10.3390/diagnostics14121270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
As an integral part of the mitral valve apparatus, the left ventricle papillary muscle (PM) controls mitral valve closure during systole and participates in the ejection process during left ventricular systole. Mitral regurgitation (MR) is the most immediate and predominant result when the PM is structurally or functionally abnormal. However, dysfunction of the PM is easily underestimated or overlooked in clinical interventions for MR-related diseases. Therefore, adequate recognition of PM dysfunction and PM-derived MR is critical. In this review, we systematically describe the normal anatomical variations in the PM and the pathophysiology of PM dysfunction-related diseases and summarize the commonly used parameters and the advantages and disadvantages of various noninvasive imaging modalities for the structural and functional assessment of the PM.
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Affiliation(s)
- Shiying Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Zhen Wang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Wenpei Fu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Fangya Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Hui Gu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Nan Cui
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yixia Lin
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yali Yang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
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Mendiola Pla M, Milano CA, Glass C, Bowles DE, Wendell DC. Cardiac magnetic resonance imaging characterization of acute rejection in a porcine heterotopic heart transplantation model. PLoS One 2024; 19:e0304588. [PMID: 38829911 PMCID: PMC11146723 DOI: 10.1371/journal.pone.0304588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Preclinical disease models are important for the advancement of therapeutics towards human clinical trials. One of the difficult tasks of developing a well-characterized model is having a reliable modality with which to trend the progression of disease. Acute rejection is one of the most devastating complications that can occur following organ transplantation. Specifically in cardiac transplantation, approximately 12% of patients will experience at least one episode of moderate or severe acute rejection in the first year. Currently, the gold standard for monitoring rejection in the clinical setting is to perform serial endomyocardial biopsies for direct histological assessment. However, this is difficult to reproduce in a porcine model of acute rejection in cardiac transplantation where the heart is heterotopically transplanted in an abdominal position. Cardiac magnetic resonance imaging is arising as an alternative for serial screening for acute rejection in cardiac transplantation. This is an exploratory study to create and define a standardized cardiac magnetic resonance screening protocol for characterizing changes associated with the presence of acute rejection in this preclinical model of disease. Results demonstrate that increases in T1 mapping, T2 mapping, left ventricular mass, and in late gadolinium enhancement are significantly correlated with presence of acute rejection.
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Affiliation(s)
- Michelle Mendiola Pla
- Division of Cardiothoracic Surgery, Duke University Medical Center, Durham, NC, United States of America
| | - Carmelo A. Milano
- Division of Cardiothoracic Surgery, Duke University Medical Center, Durham, NC, United States of America
| | - Carolyn Glass
- Department of Pathology, Duke University Medical Center, Durham, NC, United States of America
| | - Dawn E. Bowles
- Division of Surgical Sciences, Duke University Medical Center, Durham, NC, United States of America
| | - David C. Wendell
- Division of Cardiology, Duke University Medical Center, Durham, NC, United States of America
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, NC, United States of America
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Gissler MC, Antiochos P, Ge Y, Heydari B, Gräni C, Kwong RY. Cardiac Magnetic Resonance Evaluation of LV Remodeling Post-Myocardial Infarction: Prognosis, Monitoring and Trial Endpoints. JACC Cardiovasc Imaging 2024:S1936-878X(24)00127-X. [PMID: 38819335 DOI: 10.1016/j.jcmg.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 06/01/2024]
Abstract
Adverse left ventricular remodeling (ALVR) and subsequent heart failure after myocardial infarction (MI) remain a major cause of patient morbidity and mortality worldwide. Overt inflammation has been identified as the common pathway underlying myocardial fibrosis and development of ALVR post-MI. With its ability to simultaneously provide information about cardiac structure, function, perfusion, and tissue characteristics, cardiac magnetic resonance (CMR) is well poised to inform prognosis and guide early surveillance and therapeutics in high-risk cohorts. Further, established and evolving CMR-derived biomarkers may serve as clinical endpoints in prospective trials evaluating the efficacy of novel anti-inflammatory and antifibrotic therapies. This review provides an overview of post-MI ALVR and illustrates how CMR may help clinical adoption of novel therapies via mechanistic or prognostic imaging markers.
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Affiliation(s)
- Mark Colin Gissler
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Cardiology and Angiology, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Panagiotis Antiochos
- Cardiology and Cardiac MR Centre, University Hospital Lausanne, Lausanne, Switzerland
| | - Yin Ge
- Division of Cardiology, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Bobak Heydari
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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5
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Jada L, Holtackers RJ, Martens B, Nies HMJM, Van De Heyning CM, Botnar RM, Wildberger JE, Ismail TF, Razavi R, Chiribiri A. Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance. Sci Rep 2024; 14:5395. [PMID: 38443457 PMCID: PMC10914833 DOI: 10.1038/s41598-024-52058-8] [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: 05/19/2023] [Accepted: 01/12/2024] [Indexed: 03/07/2024] Open
Abstract
Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
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Affiliation(s)
- Lamis Jada
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Robert J Holtackers
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hedwig M J M Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Rene M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Tevfik F Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
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Rashid I, Al-Kindi S, Rajagopalan V, Walker J, Rajagopalan S, Seiberlich N, Hamilton JI. Synthetic multi-contrast late gadolinium enhancement imaging using post-contrast magnetic resonance fingerprinting. NMR IN BIOMEDICINE 2024; 37:e5043. [PMID: 37740596 PMCID: PMC10841227 DOI: 10.1002/nbm.5043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 08/16/2023] [Accepted: 09/02/2023] [Indexed: 09/24/2023]
Abstract
Late gadolinium enhancement (LGE) MRI is the non-invasive reference standard for identifying myocardial scar and fibrosis but has limitations, including difficulty delineating subendocardial scar and operator dependence on image quality. The purpose of this work is to assess the feasibility of generating multi-contrast synthetic LGE images from post-contrast T1 and T2 maps acquired using magnetic resonance fingerprinting (MRF). Fifteen consecutive patients with a history of prior ischemic cardiomyopathy (12 men; mean age 63 ± 13 years) were prospectively scanned at 1.5 T between Oct 2020 and May 2021 using conventional LGE and MRF after injection of gadolinium contrast. Three classes of synthetic LGE images were derived from MRF post-contrast T1 and T2 maps: bright-blood phase-sensitive inversion recovery (PSIR), black- and gray-blood T2 -prepared PSIR (T2 -PSIR), and a novel "tissue-optimized" image to enhance differentiation among scar, viable myocardium, and blood. Image quality was assessed on a 1-5 Likert scale by two cardiologists, and contrast was quantified as the mean absolute difference (MAD) in pixel intensities between two tissues, with different methods compared using Kruskal-Wallis with Bonferroni post hoc tests. Per-patient and per-segment scar detection rates were evaluated using conventional LGE images as reference. Image quality scores were highest for synthetic PSIR (4.0) and reference images (3.8), followed by synthetic tissue-optimized (3.3), gray-blood T2 -PSIR (3.0), and black-blood T2 -PSIR (2.6). Among synthetic images, PSIR yielded the highest myocardium/scar contrast (MAD = 0.42) but the lowest blood/scar contrast (MAD = 0.05), and vice versa for T2 -PSIR, while tissue-optimized images achieved a balance among all tissues (myocardium/scar MAD = 0.16, blood/scar MAD = 0.26, myocardium/blood MAD = 0.10). Based on reference mid-ventricular LGE scans, 13/15 patients had myocardial scar. The per-patient sensitivity/accuracy for synthetic images were the following: PSIR, 85/87%; black-blood T2 -PSIR, 62/53%; gray-blood T2 -PSIR, 100/93%; tissue optimized, 100/93%. Synthetic multi-contrast LGE images can be generated from post-contrast MRF data without additional scan time, with initial feasibility shown in ischemic cardiomyopathy patients.
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Affiliation(s)
- Imran Rashid
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Sadeer Al-Kindi
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Varun Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Jonathan Walker
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Jesse I. Hamilton
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
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Maillot A, Sridi S, Pineau X, André-Billeau A, Hosteins S, Maes JD, Montier G, Nuñez-Garcia M, Quesson B, Sermesant M, Cochet H, Stuber M, Bustin A. Automated inversion time selection for black-blood late gadolinium enhancement cardiac imaging in clinical practice. MAGMA (NEW YORK, N.Y.) 2023; 36:877-885. [PMID: 37294423 PMCID: PMC10667449 DOI: 10.1007/s10334-023-01101-2] [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: 01/09/2023] [Revised: 04/25/2023] [Accepted: 05/10/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To simplify black-blood late gadolinium enhancement (BL-LGE) cardiac imaging in clinical practice using an image-based algorithm for automated inversion time (TI) selection. MATERIALS AND METHODS The algorithm selects from BL-LGE TI scout images, the TI corresponding to the image with the highest number of sub-threshold pixels within a region of interest (ROI) encompassing the blood-pool and myocardium. The threshold value corresponds to the most recurrent pixel intensity of all scout images within the ROI. ROI dimensions were optimized in 40 patients' scans. The algorithm was validated retrospectively (80 patients) versus two experts and tested prospectively (5 patients) on a 1.5 T clinical scanner. RESULTS Automated TI selection took ~ 40 ms per dataset (manual: ~ 17 s). Fleiss' kappa coefficient for automated-manual, intra-observer and inter-observer agreements were [Formula: see text]= 0.73, [Formula: see text] = 0.70 and [Formula: see text] = 0.63, respectively. The agreement between the algorithm and any expert was better than the agreement between the two experts or between two selections of one expert. DISCUSSION Thanks to its good performance and simplicity of implementation, the proposed algorithm is a good candidate for automated BL-LGE imaging in clinical practice.
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Affiliation(s)
- Aurélien Maillot
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | - Soumaya Sridi
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Xavier Pineau
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Amandine André-Billeau
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Stéphanie Hosteins
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Jean-David Maes
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Géraldine Montier
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Marta Nuñez-Garcia
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | - Bruno Quesson
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | | | - Hubert Cochet
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | - Aurélien Bustin
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France.
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France.
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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Gertz RJ, Wagner A, Sokolowski M, Lennartz S, Gietzen C, Grunz JP, Goertz L, Kaya K, ten Freyhaus H, Persigehl T, Bunck AC, Doerner J, Naehle CP, Maintz D, Weiss K, Katemann C, Pennig L. Compressed SENSE accelerated 3D single-breath-hold late gadolinium enhancement cardiovascular magnetic resonance with isotropic resolution: clinical evaluation. Front Cardiovasc Med 2023; 10:1305649. [PMID: 38099228 PMCID: PMC10720442 DOI: 10.3389/fcvm.2023.1305649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/17/2023] [Indexed: 12/17/2023] Open
Abstract
Aim The purpose of this study was to investigate the clinical application of Compressed SENSE accelerated single-breath-hold LGE with 3D isotropic resolution compared to conventional LGE imaging acquired in multiple breath-holds. Material & Methods This was a retrospective, single-center study including 105 examinations of 101 patients (48.2 ± 16.8 years, 47 females). All patients underwent conventional breath-hold and 3D single-breath-hold (0.96 × 0.96 × 1.1 mm3 reconstructed voxel size, Compressed SENSE factor 6.5) LGE sequences at 1.5 T in clinical routine for the evaluation of ischemic or non-ischemic cardiomyopathies. Two radiologists independently evaluated the left ventricle (LV) for the presence of hyperenhancing lesions in each sequence, including localization and transmural extent, while assessing their scar edge sharpness (SES). Confidence of LGE assessment, image quality (IQ), and artifacts were also rated. The impact of LV ejection fraction (LVEF), heart rate, body mass index (BMI), and gender as possible confounders on IQ, artifacts, and confidence of LGE assessment was evaluated employing ordinal logistic regression analysis. Results Using 3D single-breath-hold LGE readers detected more hyperenhancing lesions compared to conventional breath-hold LGE (n = 246 vs. n = 216 of 1,785 analyzed segments, 13.8% vs. 12.1%; p < 0.0001), pronounced at subendocardial, midmyocardial, and subepicardial localizations and for 1%-50% of transmural extent. SES was rated superior in 3D single-breath-hold LGE (4.1 ± 0.8 vs. 3.3 ± 0.8; p < 0.001). 3D single-breath-hold LGE yielded more artifacts (3.8 ± 1.0 vs. 4.0 ± 3.8; p = 0.002) whereas IQ (4.1 ± 1.0 vs. 4.2 ± 0.9; p = 0.122) and confidence of LGE assessment (4.3 ± 0.9 vs. 4.3 ± 0.8; p = 0.374) were comparable between both techniques. Female gender negatively influenced artifacts in 3D single-breath-hold LGE (p = 0.0028) while increased heart rate led to decreased IQ in conventional breath-hold LGE (p = 0.0029). Conclusions In clinical routine, Compressed SENSE accelerated 3D single-breath-hold LGE yields image quality and confidence of LGE assessment comparable to conventional breath-hold LGE while providing improved delineation of smaller LGE lesions with superior scar edge sharpness. Given the fast acquisition of 3D single-breath-hold LGE, the technique holds potential to drastically reduce the examination time of CMR.
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Affiliation(s)
- Roman Johannes Gertz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anton Wagner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute for Diagnostic and Interventional Radiology, Krankenhaus der Augustinerinnen, Cologne, Germany
| | - Marcel Sokolowski
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Simon Lennartz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Carsten Gietzen
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Peter Grunz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
| | - Lukas Goertz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Kenan Kaya
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Henrik ten Freyhaus
- Department III of Internal Medicine, Heart Center, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Thorsten Persigehl
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Alexander Christian Bunck
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jonas Doerner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Kontraste Radiologie-Praxis Köln West, Cologne, Germany
| | - Claas Philip Naehle
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Radiologische Allianz Hamburg, Hamburg, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Lenhard Pennig
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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9
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Xiang C, Zhang H, Li H, Zhou X, Huang L, Xia L. The value of cardiac magnetic resonance post-contrast T1 mapping in improving the evaluation of myocardial infarction. Front Cardiovasc Med 2023; 10:1238451. [PMID: 37908503 PMCID: PMC10613640 DOI: 10.3389/fcvm.2023.1238451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 10/05/2023] [Indexed: 11/02/2023] Open
Abstract
Objective To explore the additional value of cardiac magnetic resonance (CMR) post-contrast T1 mapping in the detection of myocardial infarction, compared with late gadolinium enhancement (LGE). Materials and methods A CMR database of consecutive patients with myocardial infarction was retrospectively analyzed. All patients were scanned at 3 T magnetic resonance; they underwent conventional CMR (including LGE) and post-contrast T1 mapping imaging. Two radiologists interpreted the CMR images using a 16-segment model. The first interpretation included only LGE images. After 30 days, the same radiologists performed a second analysis of random LGE images, with the addition of post-contrast T1 mapping images. Images were analyzed to diagnose myocardial scars, and the transmural extent of each scar was visually evaluated. Diagnoses retained after LGE were compared with diagnoses retained after the addition of post-contrast T1 mapping. Results In total, 80 patients (1,280 myocardial segments) were included in the final analysis. After the addition of post-contrast T1 mapping, eight previously unidentified subendocardial scars were detected. Compared with LGE images, the percentage of infarcted segments was higher after the addition of post-contrast T1 mapping images (21.7% vs. 22.3%, P = 0.008), the percentage of uncertain segments was lower after the addition of post-contrast T1 mapping (0.8% vs. 0.1%, P = 0.004), and the percentage of uncertain transmural extent of scarring was lower after the addition of post-contrast T1 mapping (0.9% vs. 0.1%, P = 0.001). Conclusion The addition of post-contrast T1 mapping after LGE helps to improve the detection of myocardial infarction, as well as the assessment of the transmural extent of scarring.
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Affiliation(s)
- Chunlin Xiang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Zhang
- Department of Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haojie Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyue Zhou
- Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Lu Huang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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10
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Nies HM, Martens B, Gommers S, Bijvoet GP, Wildberger JE, ter Bekke RM, Holtackers RJ, Mihl C. Myocardial Scar Detection Using High-Resolution Free-Breathing 3D Dark-Blood and Standard Breath-Holding 2D Bright-Blood Late Gadolinium Enhancement MRI: A Comparison of Observer Confidence. Top Magn Reson Imaging 2023; 32:27-32. [PMID: 37058709 PMCID: PMC10510822 DOI: 10.1097/rmr.0000000000000304] [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: 02/03/2023] [Accepted: 03/14/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE To compare observer confidence for myocardial scar detection using 3 different late gadolinium enhancement (LGE) data sets by 2 observers with different levels of experience. MATERIALS AND METHODS Forty-one consecutive patients, who were referred for 3D dark-blood LGE MRI before implantable cardioverter-defibrillator implantation or ablation therapy and who underwent 2D bright-blood LGE MRI within a time frame of 3 months, were prospectively included. From all 3D dark-blood LGE data sets, a stack of 2D short-axis slices was reconstructed. All acquired LGE data sets were anonymized and randomized and evaluated by 2 independent observers with different levels of experience in cardiovascular imaging (beginner and expert). Confidence in detection of ischemic scar, nonischemic scar, papillary muscle scar, and right ventricular scar for each LGE data set was scored using a using a 3-point Likert scale (1 = low, 2 = medium, or 3 = high). Observer confidence scores were compared using the Friedman omnibus test and Wilcoxon signed-rank post hoc test. RESULTS For the beginner observer, a significant difference in confidence regarding ischemic scar detection was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.030) while for the expert observer, no significant difference was found (p = 0.166). Similarly, for right ventricular scar detection, a significant difference in confidence was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.006) while for the expert observer, no significant difference was found (p = 0.662). Although not significantly different for other areas of interest, 3D dark-blood LGE and its derived 2D dark-blood LGE data set showed a tendency to score higher for all areas of interest at both experience levels. CONCLUSIONS The combination of dark-blood LGE contrast and high isotropic voxels may contribute to increased observer confidence in myocardial scar detection, independent of observer's experience level but in particular for beginner observers.
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Affiliation(s)
- Hedwig M.J.M. Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Suzanne Gommers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Geertruida P. Bijvoet
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Joachim E. Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Rachel M.A. ter Bekke
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Robert J. Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
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11
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Jenista ER, Wendell DC, Azevedo CF, Klem I, Judd RM, Kim RJ, Kim HW. Revisiting how we perform late gadolinium enhancement CMR: insights gleaned over 25 years of clinical practice. J Cardiovasc Magn Reson 2023; 25:18. [PMID: 36922844 PMCID: PMC10018965 DOI: 10.1186/s12968-023-00925-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Affiliation(s)
- Elizabeth R Jenista
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - David C Wendell
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Clerio F Azevedo
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Igor Klem
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Robert M Judd
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
- Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Raymond J Kim
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
- Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Han W Kim
- Duke Cardiovascular Magnetic Resonance Center, DUMC-3934, Durham, NC, 27710, USA.
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.
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12
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Wendell D, Jenista E, Kim HW, Chen EL, Azevedo CF, Kaolawanich Y, Alenezi F, Rehwald W, Darty S, Parker M, Kim RJ. Assessment of Papillary Muscle Infarction with Dark-Blood Delayed Enhancement Cardiac MRI in Canines and Humans. Radiology 2022; 305:329-338. [PMID: 35880980 PMCID: PMC9619201 DOI: 10.1148/radiol.220251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/19/2022] [Accepted: 06/02/2022] [Indexed: 11/11/2022]
Abstract
Background The relationship between papillary muscle infarction (papMI) and the culprit coronary lesion has not been fully investigated. Delayed enhancement cardiac MRI may detect papMI, yet its accuracy is unknown. Flow-independent dark-blood delayed enhancement (FIDDLE) cardiac MRI has been shown to improve the detection of myocardial infarction adjacent to blood pool. Purpose To assess the diagnostic performance of delayed enhancement and FIDDLE cardiac MRI for the detection of papMI, and to investigate the prevalence of papMI and its relationship to the location of the culprit coronary lesion. Materials and Methods A prospective canine study was used to determine the accuracy of conventional delayed enhancement imaging and FIDDLE imaging for detection of papMI, with pathology-based findings as the reference standard. Participants with first-time myocardial infarction with a clear culprit lesion at coronary angiography were prospectively enrolled at a single hospital from 2015 to 2018 and compared against control participants with low Framingham risk scores. In canines, diagnostic accuracy was calculated for delayed enhancement and FIDDLE imaging. Results In canines (n = 27), FIDDLE imaging was more sensitive (100% [23 of 23] vs 57% [13 of 23], P < .001) and accurate (100% [54 of 54] vs 80% [43 of 54], P = .01) than delayed enhancement imaging for detection of papMI. In 43 participants with myocardial infarction (mean age, 56 years ± 16 [SD]; 28 men), the infarct-related artery was the left anterior descending coronary artery (LAD), left circumflex coronary artery (LCX), and right coronary artery in 47% (20 of 43), 26% (11 of 43), and 28% (12 of 43), respectively. The prevalence of anterior papMI was lower than posterior papMI (37% [16 of 43 participants] vs 44% [19 of 43 participants]) despite more LAD culprit lesions. Culprits leading to papMI were restricted to a smaller "at-risk" portion of the coronary tree for anterior papMI (subtended first diagonal branch of the LAD or first marginal branch of the LCX) compared with posterior (subtended posterior descending artery or third obtuse marginal branch of the LCX). Culprits within these at-risk portions were predictive of papMI at a similar rate (anterior, 83% [15 of 18 participants] vs posterior, 86% [18 of 21 participants]). Conclusion Flow-independent dark-blood delayed enhancement cardiac MRI, unlike conventional delayed enhancement cardiac MRI, was highly accurate in the detection of papillary muscle infarction (papMI). Anterior papMI was less prevalent than posterior papMI, most likely due to culprit lesions being restricted to a smaller portion of the coronary tree rather than because of redundant, dual vascular supply. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Kawel-Boehm and Bremerich in this issue.
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Affiliation(s)
- David Wendell
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Elizabeth Jenista
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Han W. Kim
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Enn-Ling Chen
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Clerio F. Azevedo
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | | | - Fawaz Alenezi
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Wolfgang Rehwald
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Stephen Darty
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Michele Parker
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
| | - Raymond J. Kim
- From the Duke Cardiovascular Magnetic Resonance Center (D.W., E.J.,
H.W.K., E.L.C., C.F.A., Y.K., F.A., S.D., M.P., R.J.K.), Division of Cardiology
(D.W., E.J., H.W.K., E.L.C., C.F.A., F.A., S.D., M.P., R.J.K.), and Department
of Radiology (R.J.K.), Duke University Medical Center, DUMC-3934, Durham, NC
27710; and Siemens Healthineers, Malvern, Pa (W.R.)
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13
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Sridi S, Nuñez-Garcia M, Sermesant M, Maillot A, Hamrani DE, Magat J, Naulin J, Laurent F, Montaudon M, Jaïs P, Stuber M, Cochet H, Bustin A. Improved myocardial scar visualization with fast free-breathing motion-compensated black-blood T 1-rho-prepared late gadolinium enhancement MRI. Diagn Interv Imaging 2022; 103:607-617. [PMID: 35961843 DOI: 10.1016/j.diii.2022.07.003] [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: 04/27/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE Clinical guidelines recommend the use of bright-blood late gadolinium enhancement (BR-LGE) for the detection and quantification of regional myocardial fibrosis and scar. This technique, however, may suffer from poor contrast at the blood-scar interface, particularly in patients with subendocardial myocardial infarction. The purpose of this study was to assess the clinical performance of a two-dimensional black-blood LGE (BL-LGE) sequence, which combines free-breathing T1-rho-prepared single-shot acquisitions with an advanced non-rigid motion-compensated patch-based reconstruction. MATERIALS AND METHODS Extended phase graph simulations and phantom experiments were performed to investigate the performance of the motion-correction algorithm and to assess the black-blood properties of the proposed sequence. Fifty-one patients (37 men, 14 women; mean age, 55 ± 15 [SD] years; age range: 19-81 years) with known or suspected cardiac disease prospectively underwent free-breathing T1-rho-prepared BL-LGE imaging with inline non-rigid motion-compensated patch-based reconstruction at 1.5T. Conventional breath-held BR-LGE images were acquired for comparison purposes. Acquisition times were recorded. Two readers graded the image quality and relative contrasts were calculated. Presence, location, and extent of LGE were evaluated. RESULTS BL-LGE images were acquired with full ventricular coverage in 115 ± 25 (SD) sec (range: 64-160 sec). Image quality was significantly higher on free-breathing BL-LGE imaging than on its breath-held BR-LGE counterpart (3.6 ± 0.7 [SD] [range: 2-4] vs. 3.9 ± 0.2 [SD] [range: 3-4]) (P <0.01) and was graded as diagnostic for 44/51 (86%) patients. The mean scar-to-myocardium and scar-to-blood relative contrasts were significantly higher on BL-LGE images (P < 0.01 for both). The extent of LGE was larger on BL-LGE (median, 5 segments [IQR: 2, 7 segments] vs. median, 4 segments [IQR: 1, 6 segments]) (P < 0.01), the method being particularly sensitive in segments with LGE involving the subendocardium or papillary muscles. In eight patients (16%), BL-LGE could ascertain or rule out a diagnosis otherwise inconclusive on BR-LGE. CONCLUSION Free-breathing T1-rho-prepared BL-LGE imaging with inline motion compensated reconstruction offers a promising diagnostic technology for the non-invasive assessment of myocardial injuries.
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Affiliation(s)
- Soumaya Sridi
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France.
| | - Marta Nuñez-Garcia
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Maxime Sermesant
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; INRIA, Université Côte d'Azur, Sophia Antipolis, 06902, Valbonne, France
| | - Aurélien Maillot
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Dounia El Hamrani
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Julie Magat
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Jérôme Naulin
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - François Laurent
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Michel Montaudon
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Pierre Jaïs
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Cardiac Electrophysiologhy, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, 33600, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), 1015, Lausanne, Switzerland
| | - Hubert Cochet
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Aurélien Bustin
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
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14
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Kawel-Boehm N, Bremerich J. Dark-Blood Late Gadolinium Enhancement: A Major Advance for Cardiac MRI. Radiology 2022; 305:339-340. [PMID: 35880984 DOI: 10.1148/radiol.221435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Nadine Kawel-Boehm
- From the Department of Radiology, Kantonsspital Graubuenden, Loestrasse 170, 7000 Chur, Switzerland (N.K.B.); and Department of Radiology, University of Basel Hospital, Basel, Switzerland (J.B.)
| | - Jens Bremerich
- From the Department of Radiology, Kantonsspital Graubuenden, Loestrasse 170, 7000 Chur, Switzerland (N.K.B.); and Department of Radiology, University of Basel Hospital, Basel, Switzerland (J.B.)
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15
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Johnson JN, Loriaux DB, Jenista E, Kim HW, Baritussio A, De Garate Iparraguirre E, Bucciarelli-Ducci C, Denny V, O'Connor B, Siddiqui S, Fujikura K, Benton CW, Weinsaft JW, Kochav J, Kim J, Madamanchi C, Steigner M, Kwong R, Chango-Azanza D, Chapa M, Rosales-Uvera S, Sitwala P, Filev P, Sahu A, Craft J, Punnakudiyil GJ, Jayam V, Shams F, Hughes SG, Lee JCY, Hulten EA, Steel KE, Chen SSM. Society for Cardiovascular Magnetic Resonance 2021 cases of SCMR and COVID-19 case collection series. J Cardiovasc Magn Reson 2022; 24:42. [PMID: 35787291 PMCID: PMC9251594 DOI: 10.1186/s12968-022-00872-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 06/21/2022] [Indexed: 11/10/2022] Open
Abstract
The Society for Cardiovascular Magnetic Resonance (SCMR) is an international society focused on the research, education, and clinical application of cardiovascular magnetic resonance (CMR). "Cases of SCMR" is a case series hosted on the SCMR website ( https://www.scmr.org ) that demonstrates the utility and importance of CMR in the clinical diagnosis and management of cardiovascular disease. The COVID-19 Case Collection highlights the impact of coronavirus disease 2019 (COVID-19) on the heart as demonstrated on CMR. Each case in series consists of the clinical presentation and the role of CMR in diagnosis and guiding clinical management. The cases are all instructive and helpful in the approach to patient management. We present a digital archive of the 2021 Cases of SCMR and the 2020 and 2021 COVID-19 Case Collection series of nine cases as a means of further enhancing the education of those interested in CMR and as a means of more readily identifying these cases using a PubMed or similar literature search engine.
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Affiliation(s)
- Jason N Johnson
- Division of Pediatric Cardiology and Pediatric Radiology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Daniel B Loriaux
- Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Elizabeth Jenista
- Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Han W Kim
- Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Anna Baritussio
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, Padua, Italy
- Bristol Heart Institute, NIHR Bristol Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Estefania De Garate Iparraguirre
- Bristol Heart Institute, NIHR Bristol Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Chiara Bucciarelli-Ducci
- Bristol Heart Institute, NIHR Bristol Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Vanessa Denny
- Goryeb Children's Hospital, Atlantic Health System, Morristown, NJ, USA
| | - Brian O'Connor
- Robert Wood Johnson University Hospital, New Brunswick, NJ, USA
| | - Saira Siddiqui
- Goryeb Children's Hospital, Atlantic Health System, Morristown, NJ, USA
| | - Kana Fujikura
- Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles W Benton
- Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Jiwon Kim
- Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Diego Chango-Azanza
- National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | - Mónica Chapa
- National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | - Sandra Rosales-Uvera
- National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico
| | | | | | | | - Jason Craft
- Dematteis Research Center, Greenvale, NY, USA
| | | | - Viraj Jayam
- Dematteis Research Center, Greenvale, NY, USA
| | - Farah Shams
- Infectious Diseases, St Francis Hospital, Roslyn, NY, USA
| | - Sean G Hughes
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonan C Y Lee
- Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China
| | | | | | - Sylvia S M Chen
- Department of Adult Congenital Heart Disease and Cardiology, The Prince Charles Hospital, Brisbane, Australia.
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16
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Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J Imaging 2022; 8:jimaging8050149. [PMID: 35621913 PMCID: PMC9144248 DOI: 10.3390/jimaging8050149] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/30/2022] [Accepted: 05/06/2022] [Indexed: 02/04/2023] Open
Abstract
The analysis and interpretation of cardiac magnetic resonance (CMR) images are often time-consuming. The automated segmentation of cardiac structures can reduce the time required for image analysis. Spatial similarities between different CMR image types were leveraged to jointly segment multiple sequences using a segmentation model termed a multi-image type UNet (MI-UNet). This model was developed from 72 exams (46% female, mean age 63 ± 11 years) performed on patients with hypertrophic cardiomyopathy. The MI-UNet for steady-state free precession (SSFP) images achieved a superior Dice similarity coefficient (DSC) of 0.92 ± 0.06 compared to 0.87 ± 0.08 for a single-image type UNet (p < 0.001). The MI-UNet for late gadolinium enhancement (LGE) images also had a superior DSC of 0.86 ± 0.11 compared to 0.78 ± 0.11 for a single-image type UNet (p = 0.001). The difference across image types was most evident for the left ventricular myocardium in SSFP images and for both the left ventricular cavity and the left ventricular myocardium in LGE images. For the right ventricle, there were no differences in DCS when comparing the MI-UNet with single-image type UNets. The joint segmentation of multiple image types increases segmentation accuracy for CMR images of the left ventricle compared to single-image models. In clinical practice, the MI-UNet model may expedite the analysis and interpretation of CMR images of multiple types.
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17
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Holtackers RJ, Emrich T, Botnar RM, Kooi ME, Wildberger JE, Kreitner KF. Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging: From Basic Concepts to Emerging Methods. ROFO-FORTSCHR RONTG 2022; 194:491-504. [PMID: 35196714 DOI: 10.1055/a-1718-4355] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Late gadolinium enhancement (LGE) is a widely used cardiac magnetic resonance imaging (MRI) technique to diagnose a broad range of ischemic and non-ischemic cardiomyopathies. Since its development and validation against histology already more than two decades ago, the clinical utility of LGE and its span of applications have increased considerably. METHODS In this review we will present the basic concepts of LGE imaging and its diagnostic and prognostic value, elaborate on recent developments and emerging methods, and finally discuss future prospects. RESULTS Continuous developments in 3 D imaging methods, motion correction techniques, water/fat-separated imaging, dark-blood methods, and scar quantification improved the performance and further expanded the clinical utility of LGE imaging. CONCLUSION LGE imaging is the current noninvasive reference standard for the assessment of myocardial viability. Improvements in spatial resolution, scar-to-blood contrast, and water/fat-separated imaging further strengthened its position. KEY POINTS · LGE MRI is the reference standard for the noninvasive assessment of myocardial viability. · LGE MRI is used to diagnose a broad range of non-ischemic cardiomyopathies in everyday clinical practice.. · Improvements in spatial resolution and scar-to-blood contrast further strengthened its position. · Continuous developments improve its performance and further expand its clinical utility. CITATION FORMAT · Holtackers RJ, Emrich T, Botnar RM et al. Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging: From Basic Concepts to Emerging Methods. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1718-4355.
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Affiliation(s)
- Robert J Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands.,School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Germany.,Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - René M Botnar
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.,Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile
| | - M Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands
| | - K-F Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Germany
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18
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Krittayaphong R, Zhang S, Tanapibunpon P, Kaolawanich Y, Nakyen S. Dark-blood late gadolinium-enhancement cardiac magnetic resonance imaging for myocardial scar detection based on simplified timing scheme: single-center experience in patients with suspected coronary artery disease. Quant Imaging Med Surg 2022; 12:1037-1050. [PMID: 35111603 DOI: 10.21037/qims-21-704] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/08/2021] [Indexed: 12/15/2022]
Abstract
Background This study aims to examine scar detectability using dark-blood late gadolinium enhancement (LGE) with simplified timing scheme and fixed parameters comparing to two conventional bright-blood approaches in patients with known or suspected coronary artery disease. Methods Three LGE techniques were performed in all patients with known or suspected coronary artery disease at 3 T: dark blood two-dimensional (2D) phase-sensitive inversion recovery (PSIR) preceded with a T2-preparation pulse (DB-LGE), conventional three-dimensional (3D) gradient-echo inversion recovery (3D-IR) and conventional 2D PSIR. Timing parameters in DB-LGE were tested in five clinically confirmed coronary artery disease patients with scars and fixed for the rest of the study. Two independent readers evaluated images at both patient and segment levels. Image quality and contrast ratio between scar and adjacent tissues were assessed. Concordance between the three techniques and detection rate based on expert consensus were reported. Results Forty-six patients were recruited in the study (average age 66.8 years, 69.6% male). DB-LGE demonstrated superior image quality (P=0.001 vs. 3D-IR) and scar-to-blood contrast ratio (P<0.001 vs. 3D-IR and PSIR). Among 41 patients with suspected coronary artery disease, myocardial scar was present in 30 patients (73.2%), all detected by DB-LGE, yielding a detection rate of 100% compared to 93.3% and 96.7% for bright-blood 3D-IR and PSIR. For subendocardial scar detection among 656 segments, DB-LGE had a detection rate of 99.4% compared to 57.8% for 3D-IR and 61.0% for PSIR (both P<0.001). Conclusions DB-LGE improves detection of myocardial scar compared with conventional bright-blood LGE techniques, particularly of subendocardial scar.
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Affiliation(s)
- Rungroj Krittayaphong
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Shuo Zhang
- Philips Healthcare, Singapore.,Philips Healthcare, Hamburg, Germany
| | - Prajak Tanapibunpon
- Her Majesty Cardiac Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Yodying Kaolawanich
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Supaporn Nakyen
- Her Majesty Cardiac Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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19
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Kellman P, Xue H, Chow K, Howard J, Chacko L, Cole G, Fontana M. Bright-blood and dark-blood phase sensitive inversion recovery late gadolinium enhancement and T1 and T2 maps in a single free-breathing scan: an all-in-one approach. J Cardiovasc Magn Reson 2021; 23:126. [PMID: 34743718 PMCID: PMC8573877 DOI: 10.1186/s12968-021-00823-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 10/19/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Quantitative cardiovascular magnetic resonance (CMR) T1 and T2 mapping are used to detect diffuse disease such as myocardial fibrosis or edema. However, post gadolinium contrast mapping often lacks visual contrast needed for assessment of focal scar. On the other hand, late gadolinium enhancement (LGE) CMR which nulls the normal myocardium has excellent contrast between focal scar and normal myocardium but has poor ability to detect global disease. The objective of this work is to provide a calculated bright-blood (BB) and dark-blood (DB) LGE based on simultaneous acquisition of T1 and T2 maps, so that both diffuse and focal disease may be assessed within a single multi-parametric acquisition. METHODS The prototype saturation recovery-based SASHA T1 mapping may be modified to jointly calculate T1 and T2 maps (known as multi-parametric SASHA) by acquiring additional saturation recovery (SR) images with both SR and T2 preparations. The synthetic BB phase sensitive inversion recovery (PSIR) LGE may be calculated from the post-contrast T1, and the DB PSIR LGE may be calculated from the post-contrast joint T1 and T2 maps. Multi-parametric SASHA maps were acquired free-breathing (45 heartbeats). Protocols were designed to use the same spatial resolution and achieve similar signal-to-noise ratio (SNR) as conventional motion corrected (MOCO) PSIR. The calculated BB and DB LGE were compared with separate free breathing (FB) BB and DB MOCO PSIR acquisitions requiring 16 and 32 heart beats, respectively. One slice with myocardial infarction (MI) was acquired with all protocols within 4 min. RESULTS Multiparametric T1 and T2 maps and calculated BB and DB PSIR LGE images were acquired for patients with subendocardial chronic MI (n = 10), acute MI (n = 3), and myocarditis (n = 1). The contrast-to-noise (CNR) between scar (MI and myocarditis) and remote was 26.6 ± 7.7 and 20.2 ± 7.4 for BB and DB PSIR LGE, and 31.3 ± 10.6 and 21.8 ± 7.6 for calculated BB and DB PSIR LGE, respectively. The CNR between scar and the left ventricualr blood pool was 5.2 ± 6.5 and 29.7 ± 9.4 for conventional BB and DB PSIR LGE, and 6.5 ± 6.0 and 38.6 ± 11.6 for calculated BB and DB PSIR LGE, respectively. CONCLUSIONS A single free-breathing acquisition using multi-parametric SASHA provides T1 and T2 maps and calculated BB and DB PSIR LGE images for comprehensive tissue characterization.
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Affiliation(s)
- Peter Kellman
- National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD USA
| | - Hui Xue
- National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD USA
| | - Kelvin Chow
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, IL USA
| | - James Howard
- Imperial College Healthcare NHS Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Liza Chacko
- Royal Free London NHS Foundation Trust, London, UK
- National Amyloidosis Centre, Division of Medicine, University College London, London, UK
| | - Graham Cole
- Imperial College Healthcare NHS Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Marianna Fontana
- Royal Free London NHS Foundation Trust, London, UK
- National Amyloidosis Centre, Division of Medicine, University College London, London, UK
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20
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Holtackers RJ, Wildberger JE, Wintersperger BJ, Chiribiri A. Impact of Field Strength in Clinical Cardiac Magnetic Resonance Imaging. Invest Radiol 2021; 56:764-772. [PMID: 34261084 DOI: 10.1097/rli.0000000000000809] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
ABSTRACT Cardiac magnetic resonance imaging (MRI) is widely applied for the noninvasive assessment of cardiac structure and function, and for tissue characterization. For more than 2 decades, 1.5 T has been considered the field strength of choice for cardiac MRI. Although the number of 3-T systems significantly increased in the past 10 years and numerous new developments were made, challenges seem to remain that hamper a widespread clinical use of 3-T MR systems for cardiac applications. As the number of clinical cardiac applications is increasing, with each having their own benefits at both field strengths, no "holy grail" field strength exists for cardiac MRI that one should ideally use. This review describes the physical differences between 1.5 and 3 T, as well as the effect of these differences on major (routine) cardiac MRI applications, including functional imaging, edema imaging, late gadolinium enhancement, first-pass stress perfusion, myocardial mapping, and phase contrast flow imaging. For each application, the advantages and limitations at both 1.5 and 3 T are discussed. Solutions and alternatives are provided to overcome potential limitations. Finally, we briefly elaborate on the potential use of alternative field strengths (ie, below 1.5 T and above 3 T) for cardiac MRI and conclude with field strength recommendations for the future of cardiac MRI.
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21
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Johnson JN, Mandell JG, Christopher A, Olivieri LJ, Loke YH, Campbell MJ, Darty S, Kim HW, Clark DE, Frischhertz BP, Fish FA, Bailey AL, Mikolaj MB, Hughes SG, Oneugbu A, Chung J, Burdowski J, Marfatia R, Bi X, Craft J, Umairi RA, Kindi FA, Williams JL, Campbell MJ, Kharabish A, Gutierrez M, Arzanauskaite M, Ntouskou M, Ashwath ML, Robinson T, Chiang JB, Lee JCY, Lee MSH, Chen SSM. Society for Cardiovascular Magnetic Resonance 2020 Case of the Week series. J Cardiovasc Magn Reson 2021; 23:108. [PMID: 34629101 PMCID: PMC8504030 DOI: 10.1186/s12968-021-00799-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 07/28/2021] [Indexed: 12/26/2022] Open
Abstract
The Society for Cardiovascular Magnetic Resonance (SCMR) is an international society focused on the research, education, and clinical application of cardiovascular magnetic resonance (CMR). Case of the week is a case series hosted on the SCMR website ( https://www.scmr.org ) that demonstrates the utility and importance of CMR in the clinical diagnosis and management of cardiovascular disease. Each case consists of the clinical presentation and a discussion of the condition and the role of CMR in diagnosis and guiding clinical management. The cases are all instructive and helpful in the approach to patient management. We present a digital archive of the 2020 Case of the Week series of 11 cases as a means of further enhancing the education of those interested in CMR and as a means of more readily identifying these cases using a PubMed or similar search engine.
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Affiliation(s)
- Jason N Johnson
- Division of Pediatric Cardiology and Pediatric Radiology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jason G Mandell
- Division of Cardiology, Children's National Hospital, Washington, DC, USA
| | - Adam Christopher
- Division of Cardiology, Children's National Hospital, Washington, DC, USA
| | - Laura J Olivieri
- Division of Cardiology, Children's National Hospital, Washington, DC, USA
| | - Yue-Hin Loke
- Division of Cardiology, Children's National Hospital, Washington, DC, USA
| | - Michael J Campbell
- Division of Pediatric Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Steve Darty
- Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Han W Kim
- Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Daniel E Clark
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin P Frischhertz
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Frank A Fish
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alison L Bailey
- Division of Cardiovascular Medicine, University of Tennessee College of Medicine Chattanooga/Erlanger Health System, Chattanooga, TN, USA
| | - Michael B Mikolaj
- Division of Cardiovascular Medicine, University of Tennessee College of Medicine Chattanooga/Erlanger Health System, Chattanooga, TN, USA
| | - Sean G Hughes
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Jina Chung
- Division of Cardiology, Harbor UCLA Medical Center, Torrance, CA, USA
| | | | - Ravi Marfatia
- Division of Cardiology, St. Francis Hospital, Roslyn, NY, USA
| | - Xiaoming Bi
- Siemens Medical Solutions, Los Angeles, CA, USA
| | - Jason Craft
- Division of Cardiology, St. Francis Hospital, Roslyn, NY, USA
| | | | - Faiza A Kindi
- Department of Radiology, The Royal Hospital, Muscat, Oman
| | - Jason L Williams
- Division of Pediatric Cardiology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Michael J Campbell
- Division of Pediatric Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Ahmed Kharabish
- Radiology Department, Cairo University Hospitals, Cairo, Egypt
- Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Manuel Gutierrez
- Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Monika Arzanauskaite
- Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, UK
- Cardiovascular Research Center-ICCC, Hospital de La Santa Creu I Sant Pau, IIB-Sant Pau, Barcelona, Spain
| | - Marousa Ntouskou
- Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Mahi L Ashwath
- Division of Cardiology, University of Iowa Hospitals and Clinic, Iowa City, Iowa, USA
| | - Tommy Robinson
- Division of Cardiology, University of Iowa Hospitals and Clinic, Iowa City, Iowa, USA
| | - Jeanie B Chiang
- Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, People's Republic of China
| | - Jonan C Y Lee
- Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, People's Republic of China
| | - M S H Lee
- Department of Paediatrics, Queen Elizabeth Hospital, Hong Kong, People's Republic of China
| | - Sylvia S M Chen
- Department of Cardiology and Adult Congenital Heart Disease, The Prince Charles Hospital, Brisbane, Australia.
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22
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Abstract
Ischemic cardiomyopathy (ICM) is one of the most common causes of congestive heart failure. In patients with ICM, tissue characterization with cardiac magnetic resonance imaging (CMR) allows for evaluation of myocardial abnormalities in acute and chronic settings. Myocardial edema, microvascular obstruction (MVO), intracardiac thrombus, intramyocardial hemorrhage, and late gadolinium enhancement of the myocardium are easily depicted using standard CMR sequences. In the acute setting, tissue characterization is mainly focused on assessment of ventricular thrombus and MVO, which are associated with poor prognosis. Conversely, in chronic ICM, it is important to depict late gadolinium enhancement and myocardial ischemia using stress perfusion sequences. Overall, with CMR's ability to accurately characterize myocardial tissue in acute and chronic ICM, it represents a valuable diagnostic and prognostic imaging method for treatment planning. In particular, tissue characterization abnormalities in the acute setting can provide information regarding the patients that may develop major adverse cardiac event and show the presence of ventricular thrombus; in the chronic setting, evaluation of viable myocardium can be fundamental for planning myocardial revascularization. In this review, the main findings on tissue characterization are illustrated in acute and chronic settings using qualitative and quantitative tissue characterization.
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23
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Beijnink CWH, van der Hoeven NW, Konijnenberg LSF, Kim RJ, Bekkers SCAM, Kloner RA, Everaars H, El Messaoudi S, van Rossum AC, van Royen N, Nijveldt R. Cardiac MRI to Visualize Myocardial Damage after ST-Segment Elevation Myocardial Infarction: A Review of Its Histologic Validation. Radiology 2021; 301:4-18. [PMID: 34427461 DOI: 10.1148/radiol.2021204265] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Cardiac MRI is a noninvasive diagnostic tool using nonionizing radiation that is widely used in patients with ST-segment elevation myocardial infarction (STEMI). Cardiac MRI depicts different prognosticating components of myocardial damage such as edema, intramyocardial hemorrhage (IMH), microvascular obstruction (MVO), and fibrosis. But how do cardiac MRI findings correlate to histologic findings? Shortly after STEMI, T2-weighted imaging and T2* mapping cardiac MRI depict, respectively, edema and IMH. The acute infarct size can be determined with late gadolinium enhancement (LGE) cardiac MRI. T2-weighted MRI should not be used for area-at-risk delineation because T2 values change dynamically over the first few days after STEMI and the severity of T2 abnormalities can be modulated with treatment. Furthermore, LGE cardiac MRI is the most accurate method to visualize MVO, which is characterized by hemorrhage, microvascular injury, and necrosis in histologic samples. In the chronic setting post-STEMI, LGE cardiac MRI is best used to detect replacement fibrosis (ie, final infarct size after injury healing). Finally, native T1 mapping has recently emerged as a contrast material-free method to measure infarct size that, however, remains inferior to LGE cardiac MRI. Especially LGE cardiac MRI-defined infarct size and the presence and extent of MVO may be used to monitor the effect of new therapeutic interventions in the treatment of reperfusion injury and infarct size reduction. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Casper W H Beijnink
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Nina W van der Hoeven
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Lara S F Konijnenberg
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Raymond J Kim
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Sebastiaan C A M Bekkers
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Robert A Kloner
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Henk Everaars
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Saloua El Messaoudi
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Albert C van Rossum
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Niels van Royen
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
| | - Robin Nijveldt
- From the Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (C.W.H.B., L.S.F.K., S.E.M., N.v.R., R.N.); Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (N.W.v.d.H., H.E., A.C.v.R.); Department of Medicine, Duke University School of Medicine, Durham, NC (R.J.K.); Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands (S.C.A.M.B.); Huntington Medical Research Institutes, Pasadena, Calif (R.A.K.); and Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, Calif (R.A.K.)
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Guo R, Weingärtner S, Šiurytė P, T Stoeck C, Füetterer M, E Campbell-Washburn A, Suinesiaputra A, Jerosch-Herold M, Nezafat R. Emerging Techniques in Cardiac Magnetic Resonance Imaging. J Magn Reson Imaging 2021; 55:1043-1059. [PMID: 34331487 DOI: 10.1002/jmri.27848] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 11/10/2022] Open
Abstract
Cardiovascular disease is the leading cause of death and a significant contributor of health care costs. Noninvasive imaging plays an essential role in the management of patients with cardiovascular disease. Cardiac magnetic resonance (MR) can noninvasively assess heart and vascular abnormalities, including biventricular structure/function, blood hemodynamics, myocardial tissue composition, microstructure, perfusion, metabolism, coronary microvascular function, and aortic distensibility/stiffness. Its ability to characterize myocardial tissue composition is unique among alternative imaging modalities in cardiovascular disease. Significant growth in cardiac MR utilization, particularly in Europe in the last decade, has laid the necessary clinical groundwork to position cardiac MR as an important imaging modality in the workup of patients with cardiovascular disease. Although lack of availability, limited training, physician hesitation, and reimbursement issues have hampered widespread clinical adoption of cardiac MR in the United States, growing clinical evidence will ultimately overcome these challenges. Advances in cardiac MR techniques, particularly faster image acquisition, quantitative myocardial tissue characterization, and image analysis have been critical to its growth. In this review article, we discuss recent advances in established and emerging cardiac MR techniques that are expected to strengthen its capability in managing patients with cardiovascular disease. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Rui Guo
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Sebastian Weingärtner
- Department of Imaging Physics, Magnetic Resonance Systems Lab, Delft University of Technology, Delft, The Netherlands
| | - Paulina Šiurytė
- Department of Imaging Physics, Magnetic Resonance Systems Lab, Delft University of Technology, Delft, The Netherlands
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Füetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Avan Suinesiaputra
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UK
| | - Michael Jerosch-Herold
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Reza Nezafat
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
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Krumm P, Greulich S, Nikolaou K. Editorial for "Histopathological Validation of Dark-Blood Late Gadolinium Enhancement Cardiovascular Magnetic Resonance Without Additional Magnetization Preparation". J Magn Reson Imaging 2021; 55:198-199. [PMID: 34318553 DOI: 10.1002/jmri.27855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 07/13/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Patrick Krumm
- Department of Radiology, University of Tübingen, Tübingen, 72076, Germany
| | - Simon Greulich
- Department of Internal Medicine III, Cardiology and Angiology, University of Tübingen, Tübingen, 72076, Germany
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Holtackers RJ, Van De Heyning CM, Chiribiri A, Wildberger JE, Botnar RM, Kooi ME. Dark-blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of subendocardial scar: a review of current techniques. J Cardiovasc Magn Reson 2021; 23:96. [PMID: 34289866 PMCID: PMC8296731 DOI: 10.1186/s12968-021-00777-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/17/2021] [Indexed: 12/02/2022] Open
Abstract
For almost 20 years, late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been the reference standard for the non-invasive assessment of myocardial viability. Since the blood pool often appears equally bright as the enhanced scar regions, detection of subendocardial scar patterns can be challenging. Various novel LGE methods have been proposed that null or suppress the blood signal by employing additional magnetization preparation mechanisms. This review aims to provide a comprehensive overview of these dark-blood LGE methods, discussing the magnetization preparation schemes and findings in phantom, preclinical, and clinical studies. Finally, conclusions on the current evidence and limitations are drawn and new avenues for future research are discussed. Dark-blood LGE methods are a promising new tool for non-invasive assessment of myocardial viability. For a mainstream adoption of dark-blood LGE, however, clinical availability and ease of use are crucial.
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Affiliation(s)
- Robert J. Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, Maastricht, 6200 MD The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | | | - Amedeo Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Joachim E. Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, Maastricht, 6200 MD The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - René M. Botnar
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - M. Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, Maastricht, 6200 MD The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
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Image Quality and Reliability of a Novel Dark-Blood Late Gadolinium Enhancement Sequence in Ischemic Cardiomyopathy. J Thorac Imaging 2021; 35:326-333. [PMID: 32845112 DOI: 10.1097/rti.0000000000000448] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE The aim of this study was to assess the reliability of a 2D dark-blood phase-sensitive late gadolinium enhancement sequence (2D-DBPSLGE) compared with 2D phase-sensitive inversion recovery late gadolinium enhancement sequence (2D-BBPSLGE) in patients with ischemic cardiomyopathy (ICM). MATERIALS AND METHODS A total of 73 patients with a clinical history of ICM were prospectively enrolled. The following endpoints were evaluated: (a) comparison of image quality between 2D-BBPSLGE and 2D-DBPSLGE for differentiation between blood pool-late gadolinium enhancement (LGE), remote myocardium-LGE, and blood pool-remote myocardium; (b) diagnostic accuracy of 2D-DBPSLGE compared with gold standard 2D-BBPSLGE for the evaluation of infarcted segments; (c) diagnostic accuracy of 2D-DBPSLGE for the evaluation of microvascular obstruction (MVO); (d) comparison of transmurality index between 2D-BBPSLGE and 2D-DBPSLGE; (e) comparison of papillary muscle hyperenhancement between 2D-BBPSLGE and 2D-DBPSLGE; inter-reader agreement for depiction of hyperenhanced segments in both LGE sequences. Data were analyzed using paired t test, Wilcoxon test, and McNemar test, and η coefficient and intercorrelation coefficient (ICC). RESULTS Image quality was superior for 2D-DBPSLGE for differentiation of blood pool-LGE (P<0.001). 2D-DBPSLGE, compared with 2D-BBPSLGE, showed a sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 96.93%, 99.89%, 99.71%, 98.78, and 99.04%, respectively. Concerning MVO detection, 2D-DBPSLGE showed a sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 66.67%, 100.00%, 100.00%, 80.95%, and 86.21%, respectively. 2D-DBPSLGE underestimated the transmurality (P=0.007) and identified papillary muscle hyperenhancement (P<0.001). Both LGE sequences showed comparable interobserver agreement for the evaluation of infarcted areas (2D-BBPSLGE: ICC 0.99;2D-DBPSLGE: ICC 0.99). CONCLUSIONS Compared with 2D-BBPSLGE, 2D-DBPSLGE sequences provide better differentiation between LGE and blood-pool, while underestimating LGE trasmurality and the presence of MVO.
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Holtackers RJ, Gommers S, Heckman LIB, Van De Heyning CM, Chiribiri A, Prinzen FW. Histopathological Validation of Dark-Blood Late Gadolinium Enhancement MRI Without Additional Magnetization Preparation. J Magn Reson Imaging 2021; 55:190-197. [PMID: 34169603 PMCID: PMC9290659 DOI: 10.1002/jmri.27805] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/13/2021] [Accepted: 06/14/2021] [Indexed: 12/18/2022] Open
Abstract
Background Conventional bright‐blood late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) often suffers from poor scar‐to‐blood contrast due to the bright blood pool adjacent to the enhanced scar tissue. Recently, a dark‐blood LGE method was developed which increases scar‐to‐blood contrast without using additional magnetization preparation. Purpose We aim to histopathologically validate this dark‐blood LGE method in a porcine animal model with induced myocardial infarction (MI). Study Type Prospective. Animal Model Thirteen female Yorkshire pigs. Field Strength/Sequence 1.5 T, two‐dimensional phase‐sensitive inversion‐recovery radiofrequency‐spoiled turbo field‐echo. Assessment MI was experimentally induced by transient coronary artery occlusion. At 1‐week and 7‐week post‐infarction, in‐vivo cardiac MRI was performed including conventional bright‐blood and novel dark‐blood LGE. Following the second MRI examination, the animals were sacrificed, and histopathology was obtained. Matching LGE slices and histopathology samples were selected based on anatomical landmarks. Independent observers, while blinded to other data, manually delineated the endocardial, epicardial, and infarct borders on either LGE images or histopathology samples. The percentage of infarcted left‐ventricular myocardium was calculated for both LGE methods on a per‐slice basis, and compared with histopathology as reference standard. Contrast‐to‐noise ratios were calculated for both LGE methods at 1‐week and 7‐week post‐infarction. Statistical Tests Pearson's correlation coefficient and paired‐sample t‐tests were used. Significance was set at P < 0.05. Results A combined total of 24 matched LGE and histopathology slices were available for histopathological validation. Dark‐blood LGE demonstrated a high level of agreement compared to histopathology with no significant bias (−0.03%, P = 0.75). In contrast, bright‐blood LGE showed a significant bias of −1.57% (P = 0.03) with larger 95% limits of agreement than dark‐blood LGE. Image analysis demonstrated significantly higher scar‐to‐blood contrast for dark‐blood LGE compared to bright‐blood LGE, at both 1‐week and 7‐weeks post‐infarction. Data Conclusion Dark‐blood LGE without additional magnetization preparation provides superior visualization and quantification of ischemic scar compared to the current in vivo reference standard. Level of Evidence 1 Technical Efficacy Stage 2
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Affiliation(s)
- Robert J Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Suzanne Gommers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Luuk I B Heckman
- Department of Physiology, Maastricht University, Maastricht, The Netherlands
| | | | - Amedeo Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Frits W Prinzen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.,Department of Physiology, Maastricht University, Maastricht, The Netherlands
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Toupin S, Pezel T, Bustin A, Cochet H. Whole-Heart High-Resolution Late Gadolinium Enhancement: Techniques and Clinical Applications. J Magn Reson Imaging 2021; 55:967-987. [PMID: 34155715 PMCID: PMC9292698 DOI: 10.1002/jmri.27732] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 12/15/2022] Open
Abstract
In cardiovascular magnetic resonance, late gadolinium enhancement (LGE) has become the cornerstone of myocardial tissue characterization. It is widely used in clinical routine to diagnose and characterize the myocardial tissue in a wide range of ischemic and nonischemic cardiomyopathies. The recent growing interest in imaging left atrial fibrosis has led to the development of novel whole‐heart high‐resolution late gadolinium enhancement (HR‐LGE) techniques. Indeed, conventional LGE is acquired in multiple breath‐holds with limited spatial resolution: ~1.4–1.8 mm in plane and 6–8 mm slice thickness, according to the Society for Cardiovascular Magnetic Resonance standardized guidelines. Such large voxel size prevents its use in thin structures such as the atrial or right ventricular walls. Whole‐heart 3D HR‐LGE images are acquired in free breathing to increase the spatial resolution (up to 1.3 × 1.3 × 1.3 mm3) and offer a better detection and depiction of focal atrial fibrosis. The downside of this increased resolution is the extended scan time of around 10 min, which hampers the spread of HR‐LGE in clinical practice. Initially introduced for atrial fibrosis imaging, HR‐LGE interest has evolved to be a tool to detect small scars in the ventricles and guide ablation procedures. Indeed, the detection of scars, nonvisible with conventional LGE, can be crucial in the diagnosis of myocardial infarction with nonobstructed coronary arteries, in the detection of the arrhythmogenic substrate triggering ventricular arrhythmia, and improve the confidence of clinicians in the challenging diagnoses such as the arrhythmogenic right ventricular cardiomyopathy. HR‐LGE also offers a precise visualization of left ventricular scar morphology that is particularly useful in planning ablation procedures and guiding them through the fusion of HR‐LGE images with electroanatomical mapping systems. In this narrative review, we attempt to summarize the technical particularities of whole‐heart HR‐LGE acquisition and provide an overview of its clinical applications with a particular focus on the ventricles.
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Affiliation(s)
- Solenn Toupin
- Siemens Healthcare France, Saint-Denis, France.,IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.,Université de Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France.,INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France
| | - Théo Pezel
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Cardiology, Lariboisiere Hospital, APHP, University of Paris, Paris, France
| | - Aurélien Bustin
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.,Université de Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France.,INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France.,Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Hubert Cochet
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.,Université de Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France.,INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, Bordeaux, France.,Bordeaux University Hospital (CHU), Pessac, France
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30
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Milotta G, Munoz C, Kunze KP, Neji R, Figliozzi S, Chiribiri A, Hajhosseiny R, Masci PG, Prieto C, Botnar RM. 3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging. J Cardiovasc Magn Reson 2021; 23:62. [PMID: 34024276 PMCID: PMC8142497 DOI: 10.1186/s12968-021-00751-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 03/29/2021] [Indexed: 12/30/2022] Open
Abstract
PURPOSE To develop a free-breathing whole-heart isotropic-resolution 3D late gadolinium enhancement (LGE) sequence with Dixon-encoding, which provides co-registered 3D grey-blood phase-sensitive inversion-recovery (PSIR) and complementary 3D fat volumes in a single scan of < 7 min. METHODS A free-breathing 3D PSIR LGE sequence with dual-echo Dixon readout with a variable density Cartesian trajectory with acceleration factor of 3 is proposed. Image navigators are acquired to correct both inversion recovery (IR)-prepared and reference volumes for 2D translational respiratory motion, enabling motion compensated PSIR reconstruction with 100% respiratory scan efficiency. An intermediate PSIR reconstruction is performed between the in-phase echoes to estimate the signal polarity which is subsequently applied to the IR-prepared water volume to generate a water grey-blood PSIR image. The IR-prepared water volume is obtained using a water/fat separation algorithm from the corresponding dual-echo readout. The complementary fat-volume is obtained after water/fat separation of the reference volume. Ten patients (6 with myocardial scar) were scanned with the proposed water/fat grey-blood 3D PSIR LGE sequence at 1.5 T and compared to breath-held grey-blood 2D LGE sequence in terms of contrast ratio (CR), contrast-to-noise ratio (CNR), scar depiction, scar transmurality, scar mass and image quality. RESULTS Comparable CRs (p = 0.98, 0.40 and 0.83) and CNRs (p = 0.29, 0.40 and 0.26) for blood-myocardium, scar-myocardium and scar-blood respectively were obtained with the proposed free-breathing 3D water/fat LGE and 2D clinical LGE scan. Excellent agreement for scar detection, scar transmurality, scar mass (bias = 0.29%) and image quality scores (from 1: non-diagnostic to 4: excellent) of 3.8 ± 0.42 and 3.6 ± 0.69 (p > 0.99) were obtained with the 2D and 3D PSIR LGE approaches with comparable total acquisition time (p = 0.29). Similar agreement in intra and inter-observer variability were obtained for the 2D and 3D acquisition respectively. CONCLUSION The proposed approach enabled the acquisition of free-breathing motion-compensated isotropic-resolution 3D grey-blood PSIR LGE and fat volumes. The proposed approach showed good agreement with conventional 2D LGE in terms of CR, scar depiction and scan time, while enabling free-breathing acquisition, whole-heart coverage, reformatting in arbitrary views and visualization of both water and fat information.
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Affiliation(s)
- Giorgia Milotta
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
| | - Camila Munoz
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Karl P Kunze
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - Stefano Figliozzi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Pier Giorgio Masci
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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WITHDRAWN: The impact of dark-blood versus conventional bright-blood late gadolinium enhancement on the myocardial ischemic burden. Eur J Radiol 2021. [DOI: 10.1016/j.ejrad.2021.109728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Emrich T, Halfmann M, Schoepf UJ, Kreitner KF. CMR for myocardial characterization in ischemic heart disease: state-of-the-art and future developments. Eur Radiol Exp 2021; 5:14. [PMID: 33763757 PMCID: PMC7990980 DOI: 10.1186/s41747-021-00208-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 01/22/2021] [Indexed: 01/25/2023] Open
Abstract
Ischemic heart disease and its sequelae are one of the major contributors to morbidity and mortality worldwide. Over the last decades, technological developments have strengthened the role of noninvasive imaging for detection, risk stratification, and management of patients with ischemic heart disease. Cardiac magnetic resonance (CMR) imaging incorporates both functional and morphological characterization of the heart to determine presence, acuteness, and severity of ischemic heart disease by evaluating myocardial wall motion and function, the presence and extent of myocardial edema, ischemia, and scarring. Currently established clinical protocols have already demonstrated their diagnostic and prognostic value. Nevertheless, there are emerging imaging technologies that provide additional information based on advanced quantification of imaging biomarkers and improved diagnostic accuracy, therefore potentially allowing reduction or avoidance of contrast and/or stressor agents. The aim of this review is to summarize the current state of the art of CMR imaging for ischemic heart disease and to provide insights into promising future developments.
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Affiliation(s)
- Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz; Langenbeckstraße 1, 55131, Mainz, Germany. .,German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Langenbeckstraße 1, 55131, Mainz, Germany. .,Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29425, USA.
| | - Moritz Halfmann
- Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz; Langenbeckstraße 1, 55131, Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29425, USA
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz; Langenbeckstraße 1, 55131, Mainz, Germany
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Pennig L, Lennartz S, Wagner A, Sokolowski M, Gajzler M, Ney S, Laukamp KR, Persigehl T, Bunck AC, Maintz D, Weiss K, Naehle CP, Doerner J. Clinical application of free-breathing 3D whole heart late gadolinium enhancement cardiovascular magnetic resonance with high isotropic spatial resolution using Compressed SENSE. J Cardiovasc Magn Reson 2020; 22:89. [PMID: 33327958 PMCID: PMC7745391 DOI: 10.1186/s12968-020-00673-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/15/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) represents the gold standard for assessment of myocardial viability. The purpose of this study was to investigate the clinical potential of Compressed SENSE (factor 5) accelerated free-breathing three-dimensional (3D) whole heart LGE with high isotropic spatial resolution (1.4 mm3 acquired voxel size) compared to standard breath-hold LGE imaging. METHODS This was a retrospective, single-center study of 70 consecutive patients (45.8 ± 18.1 years, 27 females; February-November 2019), who were referred for assessment of left ventricular myocardial viability and received free-breathing and breath-hold LGE sequences at 1.5 T in clinical routine. Two radiologists independently evaluated global and segmental LGE in terms of localization and transmural extent. Readers scored scans regarding image quality (IQ), artifacts, and diagnostic confidence (DC) using 5-point scales (1 non-diagnostic-5 excellent/none). Effects of heart rate and body mass index (BMI) on IQ, artifacts, and DC were evaluated with ordinal logistic regression analysis. RESULTS Global LGE (n = 33) was identical for both techniques. Using free-breathing LGE (average scan time: 04:33 ± 01:17 min), readers detected more hyperenhanced lesions (28.2% vs. 23.5%, P < .05) compared to breath-hold LGE (05:15 ± 01:23 min, P = .0104), pronounced at subepicardial localization and for 1-50% of transmural extent. For free-breathing LGE, readers graded scans with good/excellent IQ in 80.0%, with low-impact/no artifacts in 78.6%, and with good/high DC in 82.1% of cases. Elevated BMI was associated with increased artifacts (P = .0012) and decreased IQ (P = .0237). Increased heart rate negatively influenced artifacts (P = .0013) and DC (P = .0479) whereas IQ (P = .3025) was unimpaired. CONCLUSIONS In a clinical setting, free-breathing Compressed SENSE accelerated 3D high isotropic spatial resolution whole heart LGE provides good to excellent image quality in 80% of scans independent of heart rate while enabling improved depiction of small and particularly non-ischemic hyperenhanced lesions in a shorter scan time than standard breath-hold LGE.
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Affiliation(s)
- Lenhard Pennig
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
| | - Simon Lennartz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
- Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Weyertal 115b, 50931, Cologne, Germany
| | - Anton Wagner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Marcel Sokolowski
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Matej Gajzler
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Svenja Ney
- Department III of Internal Medicine, Heart Center, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Kai Roman Laukamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
- Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Ave, Cleveland, OH, 44106, USA
- Department of Radiology, Case Western Reserve University, 11000 Euclid Ave, Cleveland, OH, 44106, USA
| | - Thorsten Persigehl
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Alexander Christian Bunck
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Kilian Weiss
- Philips GmbH, Röntgenstraße 22, 22335, Hamburg, Germany
| | - Claas Philip Naehle
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Jonas Doerner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
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34
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Correia T, Ginami G, Rashid I, Nordio G, Hajhosseiny R, Ismail TF, Neji R, Botnar RM, Prieto C. Accelerated high-resolution free-breathing 3D whole-heart T 2-prepared black-blood and bright-blood cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2020; 22:88. [PMID: 33317570 PMCID: PMC7737390 DOI: 10.1186/s12968-020-00691-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 11/18/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The free-breathing 3D whole-heart T2-prepared Bright-blood and black-blOOd phase SensiTive inversion recovery (BOOST) cardiovascular magnetic resonance (CMR) sequence was recently proposed for simultaneous bright-blood coronary CMR angiography and black-blood late gadolinium enhancement (LGE) imaging. This sequence enables simultaneous visualization of cardiac anatomy, coronary arteries and fibrosis. However, high-resolution (< 1.4 × 1.4 × 1.4 mm3) fully-sampled BOOST requires long acquisition times of ~ 20 min. METHODS In this work, we propose to extend a highly efficient respiratory-resolved motion-corrected reconstruction framework (XD-ORCCA) to T2-prepared BOOST to enable high-resolution 3D whole-heart coronary CMR angiography and black-blood LGE in a clinically feasible scan time. Twelve healthy subjects were imaged without contrast injection (pre-contrast BOOST) and 10 patients with suspected cardiovascular disease were imaged after contrast injection (post-contrast BOOST). A quantitative analysis software was used to compare accelerated pre-contrast BOOST against the fully-sampled counterpart (vessel sharpness and length of the left and right coronary arteries). Moreover, three cardiologists performed diagnostic image quality scoring for clinical 2D LGE and both bright- and black-blood 3D BOOST imaging using a 4-point scale (1-4, non-diagnostic-fully diagnostic). A two one-sided test of equivalence (TOST) was performed to compare the pre-contrast BOOST images. Nonparametric TOST was performed to compare post-contrast BOOST image quality scores. RESULTS The proposed method produces images from 3.8 × accelerated non-contrast-enhanced BOOST acquisitions with comparable vessel length and sharpness to those obtained from fully- sampled scans in healthy subjects. Moreover, in terms of visual grading, the 3D BOOST LGE datasets (median 4) and the clinical 2D counterpart (median 3.5) were found to be statistically equivalent (p < 0.05). In addition, bright-blood BOOST images allowed for visualization of the proximal and middle left anterior descending and right coronary sections with high diagnostic quality (mean score > 3.5). CONCLUSIONS The proposed framework provides high-resolution 3D whole-heart BOOST images from a single free-breathing acquisition in ~ 7 min.
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Affiliation(s)
- Teresa Correia
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Giulia Ginami
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Imran Rashid
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Giovanna Nordio
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Tevfik F. Ismail
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - René M. Botnar
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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35
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Jenista ER, Wendell DC, Kim HW, Rehwald WG, Chen EL, Darty SN, Smith LR, Azevedo CF, Parker MA, Kim RJ. Comparison of magnetization transfer-preparation and T2-preparation for dark-blood delayed-enhancement imaging. NMR IN BIOMEDICINE 2020; 33:e4396. [PMID: 32875674 DOI: 10.1002/nbm.4396] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 06/03/2020] [Accepted: 08/01/2020] [Indexed: 06/11/2023]
Abstract
Recently developed dark-blood techniques such as Flow-Independent Dark-blood DeLayed Enhancement (FIDDLE) allow simultaneous visualization of tissue contrast-enhancement and blood-pool suppression. Critical to FIDDLE is the magnetization preparation, which accentuates differences between myocardium and blood-pool. Here, we compared magnetization transfer (MT)-preparation and T2-preparation for use with FIDDLE. Variants of FIDDLE were developed with MT- or T2-preparation modules and tested in 35 patients (11 at 1.5 T, 24 at 3 T). Images were acquired with each FIDDLE variant in an interleaved fashion 10 minutes after gadolinium administration with otherwise identical acquisition parameters. Images were visually and quantitatively assessed for artifacts and differences in right ventricle to left ventricle (RV-to-LV) blood-pool suppression. Bright artifacts, reflecting incomplete blood-pool suppression, were frequently observed in the left atrium with T2-preparation FIDDLE at 1.5 and 3 T (82% and up to 100% of patients, respectively). MT-preparation FIDDLE resulted in fewer patients with artifacts (0% at 1.5 T, 22% at 3 T; P < .01). Left atrial blood-pool signal was significantly more homogeneous with MT-preparation than with T2-preparation at 1.5 and 3 T (P < .001 for all comparisons). Visibly different RV-to-LV blood-pool suppression was observed with T2-preparation in 36% of patients at 1.5 T and up to 94% at 3 T. In these patients, RV blood-pool signal was elevated, reducing the conspicuity of the myocardial-RV blood-pool border. Conversely, there were no visible differences in RV-to-LV blood-pool suppression with MT-preparation. Quantitative assessment of differences in blood-pool suppression and blood-pool artifacts was consistent with visual analyses. We conclude that for dark blood-blood delayed-enhancement imaging of the heart, MT-preparation results in fewer bright blood-pool artifacts and more uniform blood-pool suppression than T2-preparation.
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Affiliation(s)
- Elizabeth R Jenista
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - David C Wendell
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Han W Kim
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | | | - Enn-Ling Chen
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Stephen N Darty
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Logan R Smith
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
| | - Clerio F Azevedo
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Michele A Parker
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Raymond J Kim
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
- Department of Radiology, Duke University Medical Center, Durham, North Carolina
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36
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Henningsson M, Malik S, Botnar R, Castellanos D, Hussain T, Leiner T. Black-Blood Contrast in Cardiovascular MRI. J Magn Reson Imaging 2020; 55:61-80. [PMID: 33078512 PMCID: PMC9292502 DOI: 10.1002/jmri.27399] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 12/14/2022] Open
Abstract
MRI is a versatile technique that offers many different options for tissue contrast, including suppressing the blood signal, so‐called black‐blood contrast. This contrast mechanism is extremely useful to visualize the vessel wall with high conspicuity or for characterization of tissue adjacent to the blood pool. In this review we cover the physics of black‐blood contrast and different techniques to achieve blood suppression, from methods intrinsic to the imaging readout to magnetization preparation pulses that can be combined with arbitrary readouts, including flow‐dependent and flow‐independent techniques. We emphasize the technical challenges of black‐blood contrast that can depend on flow and motion conditions, additional contrast weighting mechanisms (T1, T2, etc.), magnetic properties of the tissue, and spatial coverage. Finally, we describe specific implementations of black‐blood contrast for different vascular beds.
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Affiliation(s)
- Markus Henningsson
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Shaihan Malik
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Rene Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel Castellanos
- Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Tarique Hussain
- Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Division of Pediatric Radiology, Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Tim Leiner
- Department of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands
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37
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Kwong RY, Chandrashekhar Y. What Is of Recent Interest in CMR: Insights From the JACC Family of Journals. J Am Coll Cardiol 2020; 75:2865-2870. [PMID: 32498815 DOI: 10.1016/j.jacc.2020.04.062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Raymond Y Kwong
- Division of Cardiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Y Chandrashekhar
- Division of Cardiology, University of Minnesota/VAMC Minneapolis, Minneapolis, Minnesota.
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38
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Novel Magnetic Resonance Late Gadolinium Enhancement With Fixed Short Inversion Time in Ischemic Myocardial Scars. Invest Radiol 2020; 55:445-450. [DOI: 10.1097/rli.0000000000000655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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39
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Song L, Ma X, Zhao X, Zhao L, DeLano M, Fan Y, Wu B, Lu A, Tian J, He L. Validation of black blood late gadolinium enhancement (LGE) for evaluation of myocardial infarction in patients with or without pathological Q-wave on electrocardiogram (ECG). Cardiovasc Diagn Ther 2020; 10:124-134. [PMID: 32420092 DOI: 10.21037/cdt.2019.12.11] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background The pathological Q-wave (QW) is an important indicator of infarcted myocardial volume indicating a worse prognosis compared to non-Q-wave (NQW) infarctions. Traditional classification divides infarcts into transmural and non-transmural based on QW and NQW. This view has been challenged by the advent of late gadolinium enhancement (LGE) MR imaging. Conventional LGE (Conv-LGE) detection of subendocardial MI is limited by bright blood pool. Dark Blood LGE imaging (DB-LGE) nulls the blood pool improving the conspicuity and accuracy of detection of subendocardial infarcts. We hypothesize that improved detection of subendocardial enhancement with DB-LGE will result in improved correlation of electrocardiogram (ECG) and extent of infarction. Methods Sixty-four clinically confirmed infarction patients were enrolled in this prospective study. All the participants underwent cardiac MR imaging including conv-LGE and DB-LGE. Twelve-lead ECG were performed on the same day. The patients were divided into QW and NQW groups by one experienced cardiologist. MI quantitation was by MI% (the ratio of MI volume to whole myocardial volume) and transmural grading, compared using paired t-test and Wilcoxon-test, respectively. The image quality obtained by Conv-LGE and DB-LGE were evaluated according to the signal intensity ratio (SIR) and contrast-to-noise ratio (CNR). Results Fifty-six subjects were enrolled in the final analysis [23 (41%) QW and 33 (59%) NQW infarcts]. For the QW cohort, both sequences classified infarcts as transmural in 21/23 (91%) subjects and subendocardial in 2/23 (9%). For the NQW cohort, both sequences classified infarcts as transmural in 16/33 (48%) subjects and subendocardial in 17/33 (52%). Using BB-LGE there were significant differences in detecting subendocardial infarcts in QW and NQW cohorts (Z=-5.85, P<0.001). The MI% of QW group was greater than in NQW group (24.2±10.3 vs.15.9±9.8, P=0.003). Compared to Conv-LGE, BB-LGE provided higher CNR and SIR between infarcted myocardium and blood pool (6.3±2.6 vs. 2.1±1.3, P<0.001; 5.4±1.9 vs. 1.3±0.2, P<0.001). BB-LGE detected more subendocardial infarcted segments in the QW group and NQW group (Z=-4.24, P<0.001; Z=-5.57, P<0.001). The larger MI% was displayed in BB-LGE than in Conv-LGE in both QW group and NQW group (24.2±10.3 vs. 22.6±10.3, P<0.001; 15.9±9.8 vs.14.6±9.6, P=0.001). Conclusions Compared to conventional LGE, DB-LGE can provide more accurate detection and characterization of infarction in terms of transmurality and subendocardial extent. This is important for evaluating QW and NQW MIs. Due to nulling the high signal of blood pool, DB-LGE can effectively improve the identification of subendocardial MI which may be missed on conventional LGE. Therefore, in both QW and NQW MIs, DB-LGE detects more subendocardial MIs and larger MI% is found. This may facilitate more accurate quantitative MR assessment of both QW and NQW MIs and further empower LGE volume as a predictive biomarker.
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Affiliation(s)
- Linsheng Song
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China.,Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaohai Ma
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xinxiang Zhao
- Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Mark DeLano
- Division of Radiology and Biomedical Imaging, College of Human Medicine, Michigan State University, Advanced Radiology Services, PC, Spectrum Health, Grand Rapids, Michigan, USA
| | - Yang Fan
- GE Healthcare, Beijing 100176, China
| | - Bin Wu
- GE Healthcare, Beijing 100176, China
| | - Aijia Lu
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Jie Tian
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Liping He
- Department of Epidemiology and Biostatistics, School of Public Health, Kunming Medical University, Kunming 650500, China
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40
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Kwong RY, Farzaneh-Far A. Value of Late Gadolinium Enhancement Imaging in Diagnosis of Myocardial Infarction and Unobstructed Coronary Arteries. JACC. CARDIOVASCULAR IMAGING 2020; 13:1149-1151. [PMID: 32061557 DOI: 10.1016/j.jcmg.2019.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
| | - Afshin Farzaneh-Far
- Division of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois; Division of Cardiology, Department of Medicine, Duke University, Durham, North Carolina
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41
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Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, Kim RJ, von Knobelsdorff-Brenkenhoff F, Kramer CM, Pennell DJ, Plein S, Nagel E. Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update : Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing. J Cardiovasc Magn Reson 2020; 22:19. [PMID: 32160925 PMCID: PMC7066763 DOI: 10.1186/s12968-020-00610-6] [Citation(s) in RCA: 472] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 02/17/2020] [Indexed: 01/04/2023] Open
Abstract
With mounting data on its accuracy and prognostic value, cardiovascular magnetic resonance (CMR) is becoming an increasingly important diagnostic tool with growing utility in clinical routine. Given its versatility and wide range of quantitative parameters, however, agreement on specific standards for the interpretation and post-processing of CMR studies is required to ensure consistent quality and reproducibility of CMR reports. This document addresses this need by providing consensus recommendations developed by the Task Force for Post-Processing of the Society for Cardiovascular Magnetic Resonance (SCMR). The aim of the Task Force is to recommend requirements and standards for image interpretation and post-processing enabling qualitative and quantitative evaluation of CMR images. Furthermore, pitfalls of CMR image analysis are discussed where appropriate. It is an update of the original recommendations published 2013.
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Affiliation(s)
- Jeanette Schulz-Menger
- Department of Cardiology and Nephrology, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Schwanebecker Chaussee 50, 13125, Berlin, Germany.
| | - David A Bluemke
- University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Jens Bremerich
- Department of Radiology of the University Hospital Basel, Basel, Switzerland
| | - Scott D Flamm
- Imaging, and Heart and Vascular Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Mark A Fogel
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, McGill University, Montreal, QC, Canada
| | - Raymond J Kim
- Duke Cardiovascular Magnetic Resonance Center, and Departments of Medicine and Radiology, Duke University Medical Center, Durham, NC, USA
| | | | - Christopher M Kramer
- Departments of Medicine and Radiology and the Cardiovascular Imaging Center, University of Virginia Health System, Charlottesville, VA, USA
| | | | - Sven Plein
- Leeds Institute for Genetics Health and Therapeutics & Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site RheinMain, University Hospital Frankfurt, Frankfurt am Main, Germany
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43
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Hughes A, Okasha O, Farzaneh-Far A, Kazmirczak F, Nijjar PS, Velangi P, Akçakaya M, Martin CM, Shenoy C. Myocardial Fibrosis and Prognosis in Heart Transplant Recipients. Circ Cardiovasc Imaging 2019; 12:e009060. [PMID: 31610691 DOI: 10.1161/circimaging.119.009060] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND Myocardial fibrosis is a well-described histopathologic feature in heart transplant recipients. Whether myocardial fibrosis in heart transplant recipients is independently associated with clinical outcomes is unclear. We sought to determine whether myocardial fibrosis on late gadolinium enhancement cardiovascular magnetic resonance imaging in heart transplant recipients was independently associated with all-cause death or major adverse cardiac outcomes in the long-term. METHODS Using a cohort of consecutive heart transplant recipients that had cardiovascular magnetic resonance imaging, we determined the prevalence and the patterns of myocardial fibrosis and analyzed associations between myocardial fibrosis and a composite end point of all-cause death or major adverse cardiac events: retransplantation, nonfatal myocardial infarction, coronary revascularization, and heart failure hospitalization. RESULTS One hundred and fifty-two heart transplant recipients (age, 54±15 years; 29% women; 5.0±5.4 years after heart transplantation) were included. Myocardial fibrosis was present in 18% (37% infarct pattern, 41% noninfarct pattern, and 22% both). Its prevalence was positively associated with cardiac allograft vasculopathy grade. With a median follow-up of 2.6 years, myocardial fibrosis was independently associated with all-cause death or major adverse cardiac events (hazard ratio, 2.88; 95% CI, 1.59-5.23; P<0.001) after adjustment for cardiac allograft vasculopathy, history of rejection, time since transplantation, left ventricular ejection fraction, and indexed right ventricular end-diastolic volume. Every 1% increase in myocardial fibrosis was independently associated with a 6% higher hazard for all-cause death or major adverse cardiac events (hazard ratio, 1.06; 95% CI, 1.03-1.09; P<0.001). The addition of myocardial fibrosis variables to models with cardiac allograft vasculopathy, history of rejection, time since transplantation, left ventricular ejection fraction, and indexed right ventricular end-diastolic volume resulted in significant improvements in model fit, suggesting incremental prognostic value. CONCLUSIONS In heart transplant recipients, myocardial fibrosis is seen on late gadolinium enhancement cardiovascular magnetic resonance imaging in 18%. Both the presence and the extent of myocardial fibrosis are independently associated with the long-term risk of all-cause death or major adverse cardiac events.
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Affiliation(s)
- Andrew Hughes
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Osama Okasha
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Afshin Farzaneh-Far
- Section of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, IL (A.F.-F.)
| | - Felipe Kazmirczak
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Prabhjot S Nijjar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Pratik Velangi
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Mehmet Akçakaya
- Department of Electrical and Computer Engineering and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN (M.A.)
| | - Cindy M Martin
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN (A.H., O.O., F.K., P.S.N., P.V., C.M.M., C.S.)
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Mrsic Z, Mousavi N, Hulten E, Bittencourt MS. The Prognostic Value of Late Gadolinium Enhancement in Nonischemic Heart Disease. Magn Reson Imaging Clin N Am 2019; 27:545-561. [DOI: 10.1016/j.mric.2019.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Holtackers RJ, Van De Heyning CM, Nazir MS, Rashid I, Ntalas I, Rahman H, Botnar RM, Chiribiri A. Clinical value of dark-blood late gadolinium enhancement cardiovascular magnetic resonance without additional magnetization preparation. J Cardiovasc Magn Reson 2019; 21:44. [PMID: 31352900 PMCID: PMC6661833 DOI: 10.1186/s12968-019-0556-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 06/14/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND For two decades, bright-blood late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been considered the reference standard for the non-invasive assessment of myocardial viability. While bright-blood LGE can clearly distinguish areas of myocardial infarction from viable myocardium, it often suffers from poor scar-to-blood contrast, making subendocardial scar difficult to detect. Recently, we proposed a novel dark-blood LGE approach that increases scar-to-blood contrast and thereby improves subendocardial scar conspicuity. In the present study we sought to assess the clinical value of this novel approach in a large patient cohort with various non-congenital ischemic and non-ischemic cardiomyopathies on both 1.5 T and 3 T CMR scanners of different vendors. METHODS Three hundred consecutive patients referred for clinical CMR were randomly assigned to a 1.5 T or 3 T scanner. An entire short-axis stack and multiple long-axis views were acquired using conventional phase sensitive inversion recovery (PSIR) LGE with TI set to null myocardium (bright-blood) and proposed PSIR LGE with TI set to null blood (dark-blood), in a randomized order. The bright-blood LGE and dark-blood LGE images were separated, anonymized, and interpreted in a random order at different time points by one of five independent observers. Each case was analyzed for the type of scar, per-segment transmurality, papillary muscle enhancement, overall image quality, observer confidence, and presence of right ventricular scar and intraventricular thrombus. RESULTS Dark-blood LGE detected significantly more cases with ischemic scar compared to conventional bright-blood LGE (97 vs 89, p = 0.008), on both 1.5 T and 3 T, and led to a significantly increased total scar burden (3.3 ± 2.4 vs 3.0 ± 2.3 standard AHA segments, p = 0.015). Overall image quality significantly improved using dark-blood LGE compared to bright-blood LGE (81.3% vs 74.0% of all segments were of highest diagnostic quality, p = 0.006). Furthermore, dark-blood LGE led to significantly higher observer confidence (confident in 84.2% vs 78.4%, p = 0.033). CONCLUSIONS The improved detection of ischemic scar makes the proposed dark-blood LGE method a valuable diagnostic tool in the non-invasive assessment of myocardial scar. The applicability in routine clinical practice is further strengthened, as the present approach, in contrast to other recently proposed dark- and black-blood LGE techniques, is readily available without the need for scanner adjustments, extensive optimizations, or additional training.
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Affiliation(s)
- Robert J. Holtackers
- Department of Radiology, Maastricht University Medical Centre, Maastricht, the Netherlands
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Caroline M. Van De Heyning
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
- Department of Cardiology, Antwerp University Hospital, Edegem, Belgium
- Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium
| | - Muhummad Sohaib Nazir
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Imran Rashid
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Ioannis Ntalas
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Haseeb Rahman
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - René M. Botnar
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Amedeo Chiribiri
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, 4th Floor, Lambeth Wing, St Thomas’ Hospital, London, SE1 7EH 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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Ginami G, Lòpez K, Mukherjee RK, Neji R, Munoz C, Roujol S, Mountney P, Razavi R, Botnar RM, Prieto C. Non-contrast enhanced simultaneous 3D whole-heart bright-blood pulmonary veins visualization and black-blood quantification of atrial wall thickness. Magn Reson Med 2019; 81:1066-1079. [PMID: 30230609 PMCID: PMC6492092 DOI: 10.1002/mrm.27472] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 07/06/2018] [Accepted: 07/07/2018] [Indexed: 12/21/2022]
Abstract
PURPOSE Pre-interventional assessment of atrial wall thickness (AWT) and of subject-specific variations in the anatomy of the pulmonary veins may affect the success rate of RF ablation procedures for the treatment of atrial fibrillation (AF). This study introduces a novel non-contrast enhanced 3D whole-heart sequence providing simultaneous information on the cardiac anatomy-including both the arterial and the venous system-(bright-blood volume) and AWT (black-blood volume). METHODS The proposed MT-prepared bright-blood and black-blood phase sensitive inversion recovery (PSIR) BOOST framework acquires 2 differently weighted bright-blood volumes in an interleaved fashion. The 2 data sets are then combined in a PSIR-like reconstruction to obtain a complementary black-blood volume for atrial wall visualization. Image-based navigation and non-rigid respiratory motion correction are exploited for 100% scan efficiency and predictable acquisition time. The proposed approach was evaluated in 11 healthy subjects and 4 patients with AF scheduled for RF ablation. RESULTS Improved depiction of the cardiac venous system was obtained in comparison to a T2 -prepared BOOST implementation, and quantified AWT was shown to be in good agreement with previously reported measurements obtained in healthy subjects (right atrium AWT: 2.54 ± 0.87 mm, left atrium AWT: 2.51 ± 0.61 mm). Feasibility for MT-prepared BOOST acquisitions in patients with AF was demonstrated. CONCLUSION The proposed motion-corrected MT-prepared BOOST sequence provides simultaneous non-contrast pulmonary vein depiction as well as black-blood visualization of atrial walls. The proposed sequence has a large spectrum of potential clinical applications and further validation in patients is warranted.
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Affiliation(s)
- Giulia Ginami
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - Karina Lòpez
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - Rahul K. Mukherjee
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
- MR Research Collaborations, Siemens Healthcare LimitedFrimleyUnited Kingdom
| | - Camila Munoz
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - Sébastien Roujol
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - Peter Mountney
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
- Medical Imaging TechnologiesSiemens HealthineersPrincetonNew Jersey
| | - Reza Razavi
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
| | - René M. Botnar
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
- Escuela de IngenieríaPontificia Universidad Católica de ChileSantiagoChile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUnited Kingdom
- Escuela de IngenieríaPontificia Universidad Católica de ChileSantiagoChile
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Kellman P. Dark-Blood Late-Enhancement Imaging Improves Detection of Myocardial Infarction. JACC Cardiovasc Imaging 2018; 11:1770-1772. [DOI: 10.1016/j.jcmg.2017.10.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 10/31/2017] [Indexed: 10/18/2022]
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Advanced Imaging of the Left Atrium with Cardiac Magnetic Resonance: A Review of Current and Emerging Methods and Clinical Applications. CURRENT RADIOLOGY REPORTS 2018. [DOI: 10.1007/s40134-018-0303-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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