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Hopman LHGA, Solís-Lemus JA, Hofman MBM, Bhagirath P, Borodzicz-Jazdzyk S, van Pouderoijen N, Krafft AJ, Schmidt M, Allaart CP, Niederer SA, Götte MJW. Performance of Image-navigated and Diaphragm-navigated 3D Late Gadolinium-enhanced Cardiac MRI for the Assessment of Atrial Fibrosis. Radiol Cardiothorac Imaging 2024; 6:e230172. [PMID: 38573128 PMCID: PMC11056763 DOI: 10.1148/ryct.230172] [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: 06/23/2023] [Revised: 12/19/2023] [Accepted: 02/29/2024] [Indexed: 04/05/2024]
Abstract
Purpose To perform a qualitative and quantitative evaluation of the novel image-navigated (iNAV) 3D late gadolinium enhancement (LGE) cardiac MRI imaging strategy in comparison with the conventional diaphragm-navigated (dNAV) 3D LGE cardiac MRI strategy for the assessment of left atrial fibrosis in atrial fibrillation (AF). Materials and Methods In this prospective study conducted between April and September 2022, 26 consecutive participants with AF (mean age, 61 ± 11 years; 19 male) underwent both iNAV and dNAV 3D LGE cardiac MRI, with equivalent spatial resolution and timing in the cardiac cycle. Participants were randomized in the acquisition order of iNAV and dNAV. Both, iNAV-LGE and dNAV-LGE images were analyzed qualitatively using a 5-point Likert scale and quantitatively (percentage of atrial fibrosis using image intensity ratio threshold 1.2), including testing for overlap in atrial fibrosis areas by calculating Dice score. Results Acquisition time of iNAV was significantly lower compared with dNAV (4.9 ± 1.1 minutes versus 12 ± 4 minutes, P < .001, respectively). There was no evidence of a difference in image quality for all prespecified criteria between iNAV and dNAV, although dNAV was the preferred image strategy in two-thirds of cases (17/26, 65%). Quantitative assessment demonstrated that mean fibrosis scores were lower for iNAV compared with dNAV (12 ± 8% versus 20 ± 12%, P < .001). Spatial correspondence between the atrial fibrosis maps was modest (Dice similarity coefficient, 0.43 ± 0.15). Conclusion iNAV-LGE acquisition in individuals with AF was more than twice as fast as dNAV acquisition but resulted in a lower atrial fibrosis score. The differences between these two strategies might impact clinical interpretation. ©RSNA, 2024.
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Affiliation(s)
- Luuk H. G. A. Hopman
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - José A. Solís-Lemus
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Mark B. M. Hofman
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Pranav Bhagirath
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Sonia Borodzicz-Jazdzyk
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Nikki van Pouderoijen
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Axel J. Krafft
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Michaela Schmidt
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Cornelis P. Allaart
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Steven A. Niederer
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
| | - Marco J. W. Götte
- From the Department of Cardiology, Amsterdam University Medical
Center, De Boelelaan 1118, 1081 HV, Amsterdam, the Netherlands (L.H.G.A.H.,
P.B., S.B.J., N.v.P., C.P.A., M.J.W.G.); Division of Imaging Sciences and
Biomedical Engineering, King’s College London, London, United Kingdom
(J.A.S.L., S.A.N.); Department of Radiology and Nuclear Medicine, Amsterdam UMC,
Amsterdam, the Netherlands (M.B.M.H.); First Department of Cardiology, Medical
University of Warsaw, Warsaw, Poland (S.B.J.); and Siemens Healthineers,
Erlangen, Germany (A.J.K., M.S.)
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Merton R, Bosshardt D, Strijkers GJ, Nederveen AJ, Schrauben EM, van Ooij P. Reproducibility of 3D thoracic aortic displacement from 3D cine balanced SSFP at 3 T without contrast enhancement. Magn Reson Med 2024; 91:466-480. [PMID: 37831612 DOI: 10.1002/mrm.29856] [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: 05/04/2023] [Revised: 08/02/2023] [Accepted: 08/16/2023] [Indexed: 10/15/2023]
Abstract
PURPOSE Aortic motion has direct impact on the mechanical stresses acting on the aorta. In aortic disease, increased stiffness of the aorta may lead to decreased aortic motion over time, which could be a predictor for aortic dissection or rupture. This study investigates the reproducibility of obtaining 3D displacement and diameter maps quantified using accelerated 3D cine MRI at 3 T. METHODS A noncontrast-enhanced, free-breathing 3D cine sequence based on balanced SSFP and pseudo-spiral undersampling with high spatial isotropic resolution was developed (spatial/temporal resolution [1.6 mm]3 /67 ms). The thoracic aorta of 14 healthy volunteers was prospectively scanned three times at 3 T: twice on the same day and a third time 2 weeks later. Aortic displacement was calculated using iterative closest point nonrigid registration of manual segmentations of the 3D aorta at end-systole and mid-diastole. Interexamination and interobserver regional analysis of mean displacement for five regions of interest was performed using Bland-Altman analysis. Additionally, a complementary voxel-by-voxel analysis was done, allowing a more local inspection of the method. RESULTS No significant differences were found in mean and maximum displacement for any of the regions of interest for the interexamination and interobserver analysis. The maximum displacement measured in the lower half of the ascending aorta was 11.0 ± 3.4 mm (range: 3.0-17.5 mm) for the first scan. The smallest detectable change in mean displacement in the lower half of the ascending aorta was 3 mm. CONCLUSION Detailed 3D cine balanced SSFP at 3 T allows for reproducible quantification of systolic-diastolic mean aortic displacement within acceptable limits.
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Affiliation(s)
- Renske Merton
- Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Daan Bosshardt
- Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Gustav J Strijkers
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
- Biomedical Physics and Engineering, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
| | - Aart J Nederveen
- Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
| | - Eric M Schrauben
- Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Pim van Ooij
- Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
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Kotadia ID, O’Dowling R, Aboagye A, Sim I, O’Hare D, Lemus-Solis JA, Roney CH, Dweck M, Chiribiri A, Plein S, Sztriha L, Scott P, Harrison J, Ramsay D, Birns J, Somerville P, Bhalla A, Niederer S, O’Neill M, Williams SE. Atrial CARdiac Magnetic resonance imaging in patients with embolic stroke of unknown source without documented Atrial Fibrillation (CARM-AF): Study design and clinical protocol. Heart Rhythm O2 2022; 3:196-203. [PMID: 35496458 PMCID: PMC9043416 DOI: 10.1016/j.hroo.2022.01.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Initiation of anticoagulation therapy in ischemic stroke patients is contingent on a clinical diagnosis of atrial fibrillation (AF). Results from previous studies suggest thromboembolic risk may predate clinical manifestations of AF. Early identification of this cohort of patients may allow early initiation of anticoagulation and reduce the risk of secondary stroke. Objective This study aims to produce a substrate-based predictive model using cardiac magnetic resonance imaging (CMR) and baseline noninvasive electrocardiographic investigations to improve the identification of patients at risk of future thromboembolism. Methods CARM-AF is a prospective, multicenter, observational cohort study. Ninety-two patients will be recruited following an embolic stroke of unknown source (ESUS) and undergo atrial CMR followed by insertion of an implantable loop recorder (ILR) as per routine clinical care within 3 months of index stroke. Remote ILR follow-up will be used to allocate patients to a study or control group determined by the presence or absence of AF as defined by ILR monitoring. Results Baseline data collection, noninvasive electrocardiographic data analysis, and imaging postprocessing will be performed at the time of enrollment. Primary analysis will be performed following 12 months of continuous ILR monitoring, with interim and delayed analyses performed at 6 months and 2 and 3 years, respectively. Conclusion The CARM-AF Study will use atrial structural and electrocardiographic metrics to identify patients with AF, or at high risk of developing AF, who may benefit from early initiation of anticoagulation.
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Affiliation(s)
- Irum D. Kotadia
- King’s College London, London, United Kingdom
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Robert O’Dowling
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Akosua Aboagye
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Iain Sim
- King’s College London, London, United Kingdom
| | | | | | | | - Marc Dweck
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom
| | | | - Sven Plein
- King’s College London, London, United Kingdom
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | | | - Paul Scott
- King’s College Hospital, London, United Kingdom
| | - James Harrison
- Princess Royal University Hospital, London, United Kingdom
| | - Deborah Ramsay
- Princess Royal University Hospital, London, United Kingdom
| | - Jonathan Birns
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Peter Somerville
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Ajay Bhalla
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | | | - Mark O’Neill
- King’s College London, London, United Kingdom
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Steven E. Williams
- King’s College London, London, United Kingdom
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom
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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: 9] [Impact Index Per Article: 4.5] [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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