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Karsenty C, Alattar Y, Mousseaux E, Marcilhacy G, Gencer U, Craiem D, Iserin L, Ladouceur M, Legendre A, Laredo M, Bonnet D, Malekzadeh-Milani S, Soulat G. 4D flow magnetic resonance imaging to assess right ventricular outflow tract in patients undergoing transcatheter pulmonary valve replacement. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2023; 76:793-802. [PMID: 36921915 DOI: 10.1016/j.rec.2023.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/22/2023] [Indexed: 03/14/2023]
Abstract
INTRODUCTION AND OBJECTIVES Magnetic resonance imaging (MRI) including 4D flow is used before percutaneous pulmonary valve implantation (PPVI). As PPVI is limited by the size of the right ventricular outflow tract (RVOT), accurate sizing is needed to plan the intervention. The aim of this study was to compare different MRI modalities and invasive angiography to balloon sizing of RVOT. METHODS Single-center prospective study of patients who underwent PPVI for isolated pulmonary regurgitation assessed by 4D flow MRI, 3D steady-state free precession/gradient echo (3D SSFP/GRE) and contrast magnetic resonance angiography. Balloon sizing was considered as the reference. RESULTS A total of 23 adults were included (mean age, 38.4±12.5 years). Eighteen patients underwent successful primary PPVI. The average of the narrowest RVOT diameter was 25.4±4.3 mm by balloon sizing. Compared to balloon sizing, RVOT diameters were better correlated when estimated by systolic 4D flow MRI (r=0.89, P<.001) than by diastolic 4D flow MRI (r=0.71, P <.001), 3D contrast magnetic resonance angiography (r=0.73; P <.001) and 3D SSFP/GRE (r=0.50; P=.04) and was not significantly correlated when estimated by 2D in diastole and systole. The mean difference between systolic 4D flow MRI and balloon sizing was 0.2 mm (95%CI, -3.5 to 3.9 mm), whereas it was wider with other techniques. CONCLUSIONS Beyond the quantification of pulmonary valve regurgitation, 4D flow allows accurate estimation of RVOT diameters, especially in systole, which is fundamental before planning PPVI.
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Affiliation(s)
- Clément Karsenty
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Pediatric and Congenital Cardiology, Children's Hospital, CHU Toulouse, Toulouse, France; Institut des Maladies Métaboliques et Cardiovasculaires, Université de Toulouse, Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Toulouse, France; Adult Congenital Cardiology Department, Clinique Pasteur, Toulouse, France.
| | - Yousef Alattar
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Elie Mousseaux
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Gabrielle Marcilhacy
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Umit Gencer
- Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Damian Craiem
- Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET, Buenos Aires, Argentina
| | - Laurence Iserin
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Magalie Ladouceur
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
| | - Antoine Legendre
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Mikael Laredo
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Institut de Cardiologie, Assistance Publique Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Damien Bonnet
- Pediatric and Congenital Department, M3C-Necker, Hôpital Universitaire Necker-Enfants malades, Paris, France; Institut IMAGINE, Université de Paris, Paris, France
| | - Sophie Malekzadeh-Milani
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Pediatric and Congenital Department, M3C-Necker, Hôpital Universitaire Necker-Enfants malades, Paris, France
| | - Gilles Soulat
- Adult Congenital Cardiology Department, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France; Paris Centre de Recherche Cardiovasculaire (PARCC), Université de Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) Paris, France
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Zhao X, Tan RS, Garg P, Chai P, Leng S, Bryant JA, Teo LLS, Yeo TJ, Fortier MV, Low TT, Ong CC, Zhang S, Van der Geest RJ, Allen JC, Tan TH, Yip JW, Tan JL, Hughes M, Plein S, Westenberg JJM, Zhong L. Age- and sex-specific reference values of biventricular flow components and kinetic energy by 4D flow cardiovascular magnetic resonance in healthy subjects. J Cardiovasc Magn Reson 2023; 25:50. [PMID: 37718441 PMCID: PMC10506211 DOI: 10.1186/s12968-023-00960-x] [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: 01/30/2023] [Accepted: 08/30/2023] [Indexed: 09/19/2023] Open
Abstract
BACKGROUND Advances in four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) have allowed quantification of left ventricular (LV) and right ventricular (RV) blood flow. We aimed to (1) investigate age and sex differences of 4D flow CMR-derived LV and RV relative flow components and kinetic energy (KE) parameters indexed to end-diastolic volume (KEiEDV) in healthy subjects; and (2) assess the effects of age and sex on these parameters. METHODS We performed 4D flow analysis in 163 healthy participants (42% female; mean age 43 ± 13 years) of a prospective registry study (NCT03217240) who were free of cardiovascular diseases. Relative flow components (direct flow, retained inflow, delayed ejection flow, residual volume) and multiple phasic KEiEDV (global, peak systolic, average systolic, average diastolic, peak E-wave, peak A-wave) for both LV and RV were analysed. RESULTS Compared with men, women had lower median LV and RV residual volume, and LV peak and average systolic KEiEDV, and higher median values of RV direct flow, RV global KEiEDV, RV average diastolic KEiEDV, and RV peak E-wave KEiEDV. ANOVA analysis found there were no differences in flow components, peak and average systolic, average diastolic and global KEiEDV for both LV and RV across age groups. Peak A-wave KEiEDV increased significantly (r = 0.458 for LV and 0.341 for RV), whereas peak E-wave KEiEDV (r = - 0.355 for LV and - 0.318 for RV), and KEiEDV E/A ratio (r = - 0.475 for LV and - 0.504 for RV) decreased significantly, with age. CONCLUSION These data using state-of-the-art 4D flow CMR show that biventricular flow components and kinetic energy parameters vary significantly by age and sex. Age and sex trends should be considered in the interpretation of quantitative measures of biventricular flow. Clinical trial registration https://www. CLINICALTRIALS gov . Unique identifier: NCT03217240.
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Affiliation(s)
- Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Ru-San Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- National Heart Centre Singapore, Singapore, Singapore
| | - Pankaj Garg
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Ping Chai
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shuang Leng
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jennifer Ann Bryant
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- National Heart Centre Singapore, Singapore, Singapore
| | - Lynette L S Teo
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tee Joo Yeo
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Marielle V Fortier
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore
| | - Ting Ting Low
- National University Hospital Singapore, Singapore, Singapore
| | - Ching Ching Ong
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shuo Zhang
- Philips Healthcare Germany, Hamburg, Germany
| | - Rob J Van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Teng Hong Tan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - James W Yip
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ju Le Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- National Heart Centre Singapore, Singapore, Singapore
| | - Marina Hughes
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Jos J M Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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Sjöberg P, Hedström E, Fricke K, Frieberg P, Weismann CG, Liuba P, Carlsson M, Töger J. Comparison of 2D and 4D Flow MRI in Neonates Without General Anesthesia. J Magn Reson Imaging 2023; 57:71-82. [PMID: 35726779 PMCID: PMC10084310 DOI: 10.1002/jmri.28303] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Neonates with critical congenital heart disease require early intervention. Four-dimensional (4D) flow may facilitate surgical planning and improve outcome, but accuracy and precision in neonates are unknown. PURPOSE To 1) validate two-dimensional (2D) and 4D flow MRI in a phantom and investigate the effect of spatial and temporal resolution; 2) investigate accuracy and precision of 4D flow and internal consistency of 2D and 4D flow in neonates; and 3) compare scan time of 4D flow to multiple 2D flows. STUDY TYPE Phantom and prospective patients. POPULATION A total of 17 neonates with surgically corrected aortic coarctation (age 18 days [IQR 11-20]) and a three-dimensional printed neonatal aorta phantom. FIELD STRENGTH/SEQUENCE 1.5T, 2D flow and 4D flow. ASSESSMENT In the phantom, 2D and 4D flow volumes (ascending and descending aorta, and aortic arch vessels) with different resolutions were compared to high-resolution reference 2D flow. In neonates, 4D flow was compared to 2D flow volumes at each vessel. Internal consistency was computed as the flow volume in the ascending aorta minus the sum of flow volumes in the aortic arch vessels and descending aorta, divided by ascending aortic flow. STATISTICAL TESTS Bland-Altman plots, Pearson correlation coefficient (r), and Student's t-tests. RESULTS In the phantom, 2D flow differed by 0.01 ± 0.02 liter/min with 1.5 mm spatial resolution and -0.01 ± 0.02 liter/min with 0.8 mm resolution; 4D flow differed by -0.05 ± 0.02 liter/min with 2.4 mm spatial and 42 msec temporal resolution, -0.01 ± 0.02 liter/min with 1.5 mm, 42 msec resolution and -0.01 ± 0.02 liter/min with 1.5 mm, 21 msec resolution. In patients, 4D flow and 2D flow differed by -0.06 ± 0.08 liter/min. Internal consistency in patients was -11% ± 17% for 2D flow and 5% ± 13% for 4D flow. Scan time was 17.1 minutes [IQR 15.5-18.5] for 2D flow and 6.2 minutes [IQR 5.3-6.9] for 4D flow, P < 0.0001. DATA CONCLUSION Neonatal 4D flow MRI is time efficient and can be acquired with good internal consistency without contrast agents or general anesthesia, thus potentially expanding 4D flow use to the youngest and smallest patients. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Pia Sjöberg
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund
| | - Erik Hedström
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund.,Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Katrin Fricke
- Pediatric Heart Center, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Petter Frieberg
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund
| | - Constance G Weismann
- Pediatric Heart Center, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Petru Liuba
- Pediatric Heart Center, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Marcus Carlsson
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund
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Varga-Szemes A, Halfmann M, Schoepf UJ, Jin N, Kilburg A, Dargis DM, Düber C, Ese A, Aquino G, Xiong F, Kreitner KF, Markl M, Emrich T. Highly Accelerated Compressed-Sensing 4D Flow for Intracardiac Flow Assessment. J Magn Reson Imaging 2022. [PMID: 36264176 DOI: 10.1002/jmri.28484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Four-dimensional (4D) flow MRI allows for the quantification of complex flow patterns; however, its clinical use is limited by its inherently long acquisition time. Compressed sensing (CS) is an acceleration technique that provides substantial reduction in acquisition time. PURPOSE To compare intracardiac flow measurements between conventional and CS-based highly accelerated 4D flow acquisitions. STUDY TYPE Prospective. SUBJECTS Fifty healthy volunteers (28.0 ± 7.1 years, 24 males). FIELD STRENGTH/SEQUENCE Whole heart time-resolved 3D gradient echo with three-directional velocity encoding (4D flow) with conventional parallel imaging (factor 3) as well as CS (factor 7.7) acceleration at 3 T. ASSESSMENT 4D flow MRI data were postprocessed by applying a valve tracking algorithm. Acquisition times, flow volumes (mL/cycle) and diastolic function parameters (ratio of early to late diastolic left ventricular peak velocities [E/A] and ratio of early mitral inflow velocity to mitral annular early diastolic velocity [E/e']) were quantified by two readers. STATISTICAL TESTS Paired-samples t-test and Wilcoxon rank sum test to compare measurements. Pearson correlation coefficient (r), Bland-Altman-analysis (BA) and intraclass correlation coefficient (ICC) to evaluate agreement between techniques and readers. A P value < 0.05 was considered statistically significant. RESULTS A significant improvement in acquisition time was observed using CS vs. conventional accelerated acquisition (6.7 ± 1.3 vs. 12.0 ± 1.3 min). Net forward flow measurements for all valves showed good correlation (r > 0.81) and agreement (ICCs > 0.89) between conventional and CS acceleration, with 3.3%-8.3% underestimation by the CS technique. Evaluation of diastolic function showed 3.2%-17.6% error: E/A 2.2 [1.9-2.4] (conventional) vs. 2.3 [2.0-2.6] (CS), BA bias 0.08 [-0.81-0.96], ICC 0.82; and E/e' 4.6 [3.9-5.4] (conventional) vs. 3.8 [3.4-4.3] (CS), BA bias -0.90 [-2.31-0.50], ICC 0.89. DATA CONCLUSION Analysis of intracardiac flow patterns and evaluation of diastolic function using a highly accelerated 4D flow sequence prototype is feasible, but it shows underestimation of flow measurements by approximately 10%. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Moritz Halfmann
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,German Centre for Cardiovascular Research, Partner site Rhine-Main, Mainz, Germany
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Ning Jin
- Siemens Medical Solutions USA Inc., Chicago, Illinois, USA
| | - Anton Kilburg
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Danielle M Dargis
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Christoph Düber
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Amir Ese
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Gilberto Aquino
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Fei Xiong
- Siemens Medical Solutions USA Inc., Chicago, Illinois, USA
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina.,Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,German Centre for Cardiovascular Research, Partner site Rhine-Main, Mainz, Germany
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Assadi H, Uthayachandran B, Li R, Wardley J, Nyi TH, Grafton-Clarke C, Swift AJ, Solana AB, Aben JP, Thampi K, Hewson D, Sawh C, Greenwood R, Hughes M, Kasmai B, Zhong L, Flather M, Vassiliou VS, Garg P. Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment. Eur Radiol Exp 2022; 6:46. [PMID: 36131185 PMCID: PMC9492816 DOI: 10.1186/s41747-022-00299-5] [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: 04/06/2022] [Accepted: 07/24/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients. RESULTS The median age of our patient population was 63 years (interquartile range [IQR] 54-73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51-78) versus 63 mL (57-77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30-1.75] versus 1.46 m/s [1.25-2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001). CONCLUSIONS Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation.
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Affiliation(s)
- Hosamadin Assadi
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bhalraam Uthayachandran
- grid.8241.f0000 0004 0397 2876Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | - Rui Li
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - James Wardley
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Tha H. Nyi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Ciaran Grafton-Clarke
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Andrew J. Swift
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | | | | | - Kurian Thampi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - David Hewson
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Chris Sawh
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Richard Greenwood
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Marina Hughes
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bahman Kasmai
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Liang Zhong
- grid.419385.20000 0004 0620 9905National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, 8 College Road, Singapore, Singapore
| | - Marcus Flather
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Vassilios S. Vassiliou
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Pankaj Garg
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK ,grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
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Recommendations for cardiovascular magnetic resonance and computed tomography in congenital heart disease: a consensus paper from the CMR/CCT working group of the Italian Society of Pediatric Cardiology (SICP) and the Italian College of Cardiac Radiology endorsed by the Italian Society of Medical and Interventional Radiology (SIRM) Part I. Radiol Med 2022; 127:788-802. [PMID: 35608758 PMCID: PMC9308607 DOI: 10.1007/s11547-022-01490-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/23/2022] [Indexed: 11/23/2022]
Abstract
Cardiovascular magnetic resonance (CMR) and computed tomography (CCT) are advanced imaging modalities that recently revolutionized the conventional diagnostic approach to congenital heart diseases (CHD), supporting echocardiography and often replacing cardiac catheterization. Nevertheless, correct execution and interpretation require in-depth knowledge of all technical and clinical aspects of CHD, a careful assessment of risks and benefits before each exam, proper imaging protocols to maximize diagnostic information, minimizing harm. This position paper, written by experts from the Working Group of the Italian Society of Pediatric Cardiology and from the Italian College of Cardiac Radiology of the Italian Society of Medical and Interventional Radiology, is intended as a practical guide for applying CCT and CMR in children and adults with CHD, wishing to support Radiologists, Pediatricians, Cardiologists and Cardiac Surgeons in the multimodality diagnostic approach to these patients. The first part provides a review of the most relevant literature in the field, describes each modality's advantage and drawback, making considerations on the main applications, image quality, and safety issues. The second part focuses on clinical indications and appropriateness criteria for CMR and CCT, considering the level of CHD complexity, the clinical and logistic setting and the operator expertise.
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Zhao X, Hu L, Leng S, Tan RS, Chai P, Bryant JA, Teo LLS, Fortier MV, Yeo TJ, Ouyang RZ, Allen JC, Hughes M, Garg P, Zhang S, van der Geest RJ, Yip JW, Tan TH, Tan JL, Zhong Y, Zhong L. Ventricular flow analysis and its association with exertional capacity in repaired tetralogy of Fallot: 4D flow cardiovascular magnetic resonance study. J Cardiovasc Magn Reson 2022; 24:4. [PMID: 34980199 PMCID: PMC8722058 DOI: 10.1186/s12968-021-00832-2] [Citation(s) in RCA: 2] [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: 07/21/2021] [Accepted: 11/23/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) allows quantification of biventricular blood flow by flow components and kinetic energy (KE) analyses. However, it remains unclear whether 4D flow parameters can predict cardiopulmonary exercise testing (CPET) as a clinical outcome in repaired tetralogy of Fallot (rTOF). Current study aimed to (1) compare 4D flow CMR parameters in rTOF with age- and gender-matched healthy controls, (2) investigate associations of 4D flow parameters with functional and volumetric right ventricular (RV) remodelling markers, and CPET outcome. METHODS Sixty-three rTOF patients (14 paediatric, 49 adult; 30 ± 15 years; 29 M) and 63 age- and gender-matched healthy controls (14 paediatric, 49 adult; 31 ± 15 years) were prospectively recruited at four centers. All underwent cine and 4D flow CMR, and all adults performed standardized CPET same day or within one week of CMR. RV remodelling index was calculated as the ratio of RV to left ventricular (LV) end-diastolic volumes. Four flow components were analyzed: direct flow, retained inflow, delayed ejection flow and residual volume. Additionally, three phasic KE parameters normalized to end-diastolic volume (KEiEDV), were analyzed for both LV and RV: peak systolic, average systolic and peak E-wave. RESULTS In comparisons of rTOF vs. healthy controls, median LV retained inflow (18% vs. 16%, P = 0.005) and median peak E-wave KEiEDV (34.9 µJ/ml vs. 29.2 µJ/ml, P = 0.006) were higher in rTOF; median RV direct flow was lower in rTOF (25% vs. 35%, P < 0.001); median RV delayed ejection flow (21% vs. 17%, P < 0.001) and residual volume (39% vs. 31%, P < 0.001) were both greater in rTOF. RV KEiEDV parameters were all higher in rTOF than healthy controls (all P < 0.001). On multivariate analysis, RV direct flow was an independent predictor of RV function and CPET outcome. RV direct flow and RV peak E-wave KEiEDV were independent predictors of RV remodelling index. CONCLUSIONS In this multi-scanner multicenter 4D flow CMR study, reduced RV direct flow was independently associated with RV dysfunction, remodelling and, to a lesser extent, exercise intolerance in rTOF patients. This supports its utility as an imaging parameter for monitoring disease progression and therapeutic response in rTOF. Clinical Trial Registration https://www.clinicaltrials.gov . Unique identifier: NCT03217240.
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Affiliation(s)
- Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Liwei Hu
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shuang Leng
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Ru-San Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Ping Chai
- National University Hospital Singapore, Singapore, Singapore
| | - Jennifer Ann Bryant
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lynette L S Teo
- National University Hospital Singapore, Singapore, Singapore
| | - Marielle V Fortier
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore
| | - Tee Joo Yeo
- National University Hospital Singapore, Singapore, Singapore
| | - Rong Zhen Ouyang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | | | - Marina Hughes
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Shuo Zhang
- Philips Healthcare Germany, Hamburg, Germany
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - James W Yip
- National University Hospital Singapore, Singapore, Singapore
| | - Teng Hong Tan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Ju Le Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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8
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Raimondi F, Martins D, Coenen R, Panaioli E, Khraiche D, Boddaert N, Bonnet D, Atkins M, El-Said H, Alshawabkeh L, Hsiao A. Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation. Radiol Cardiothorac Imaging 2021; 3:e210161. [PMID: 34934948 PMCID: PMC8686005 DOI: 10.1148/ryct.210161] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/04/2021] [Accepted: 11/12/2021] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess the ability of four-dimensional (4D) flow MRI to quantify flow volume of the Fontan circuit, including the frequency and hemodynamic contribution of systemic-to-pulmonary venovenous collateral vessels. MATERIALS AND METHODS In this retrospective study, patients with Fontan circulation were included from three institutions (2017-2021). Flow measurements were performed at several locations along the circuit by two readers, and collateral shunt volumes were quantified. The frequency of venovenous collaterals and structural defects were tabulated from concurrent MR angiography, contemporaneous CT, or catheter angiography and related to Fontan clinical status. Statistical analysis included Pearson and Spearman correlation and Bland-Altman analysis. RESULTS Seventy-five patients (mean age, 20 years; range, 5-58 years; 46 female and 29 male patients) were included. Interobserver agreement was high for aortic output, pulmonary arteries, pulmonary veins, superior vena cava (Glenn shunt), and inferior vena cava (Fontan conduit) (range, ρ = 0.913-0.975). Calculated shunt volume also showed strong agreement, on the basis of the difference between aortic and pulmonary flow (ρ = 0.935). A total of 37 of 75 (49%) of the patients exhibited shunts exceeding 1.00 L/min, 81% (30 of 37) of whom had pulmonary venous or atrial flow volume step-ups and corresponding venovenous collaterals. A total of 12% of patients (nine of 75) exhibited a high-output state (>4 L/min/m2), most of whom had venovenous shunts exceeding 30% of cardiac output. CONCLUSION Fontan flow and venovenous shunting can be reliably quantified at 4D flow MRI; high-output states were found in a higher proportion of patients than expected, among whom venovenous collaterals were common and constituted a substantial proportion of cardiac output.Keywords: Pediatrics, MR Angiography, Cardiac, Technology Assessment, Hemodynamics/Flow Dynamics, Congenital Supplemental material is available for this article. © RSNA, 2021.
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Affiliation(s)
- Francesca Raimondi
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Duarte Martins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Raluca Coenen
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Elena Panaioli
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Diala Khraiche
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Nathalie Boddaert
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Damien Bonnet
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Melany Atkins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Howaida El-Said
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Laith Alshawabkeh
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Albert Hsiao
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
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9
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Yao X, Hu L, Peng Y, Feng F, Ouyang R, Xie W, Wang Q, Sun A, Zhong Y. Right and left ventricular function and flow quantification in pediatric patients with repaired tetralogy of Fallot using four-dimensional flow magnetic resonance imaging. BMC Med Imaging 2021; 21:161. [PMID: 34719378 PMCID: PMC8559379 DOI: 10.1186/s12880-021-00693-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 10/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background To assess the accuracy and reproducibility of right ventricular (RV) and left ventricular (LV) function and flow measurements in children with repaired tetralogy of Fallot (rTOF) using four-dimensional (4D) flow, compared with conventional two-dimensional (2D) magnetic resonance imaging (MRI) sequences. Methods Thirty pediatric patients with rTOF were retrospectively enrolled to undergo 2D balanced steady-state free precession cine (2D b-SSFP cine), 2D phase contrast (PC), and 4D flow cardiac MRI. LV and RV volumes and flow in the ascending aorta (AAO) and main pulmonary artery (MPA) were quantified. Pearson’s or Spearman’s correlation tests, paired t-tests, the Wilcoxon signed-rank test, Bland–Altman analysis, and intraclass correlation coefficients (ICC) were performed. Results The 4D flow scan time was shorter compared with 2D sequences (P < 0.001). The biventricular volumes between 4D flow and 2D b-SSFP cine had no significant differences (P > 0.05), and showed strong correlations (r > 0.90, P < 0.001) and good consistency. The flow measurements of the AAO and MPA between 4D flow and 2D PC showed moderate to good correlations (r > 0.60, P < 0.001). There was good internal consistency in cardiac output. There was good intraobserver and interobserver biventricular function agreement (ICC > 0.85). Conclusions RV and LV function and flow quantification in pediatric patients with rTOF using 4D flow MRI can be measured accurately and reproducibly compared to those with conventional 2D sequences.
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Affiliation(s)
- Xiaofen Yao
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Liwei Hu
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yafeng Peng
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Fei Feng
- AI Imaging, GE Healthcare, No. 1 Huatuo Road, Shanghai, 201203, China
| | - Rongzhen Ouyang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Weihui Xie
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Qian Wang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Aimin Sun
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yumin Zhong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China.
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10
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Baiocchi M, Barsoum S, Khodaei S, de la Torre Hernandez JM, Valentino SE, Dunford EC, MacDonald MJ, Keshavarz-Motamed Z. Effects of Choice of Medical Imaging Modalities on a Non-invasive Diagnostic and Monitoring Computational Framework for Patients With Complex Valvular, Vascular, and Ventricular Diseases Who Undergo Transcatheter Aortic Valve Replacement. Front Bioeng Biotechnol 2021; 9:643453. [PMID: 34307316 PMCID: PMC8297508 DOI: 10.3389/fbioe.2021.643453] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/19/2021] [Indexed: 11/13/2022] Open
Abstract
Due to the high individual differences in the anatomy and pathophysiology of patients, planning individualized treatment requires patient-specific diagnosis. Indeed, hemodynamic quantification can be immensely valuable for accurate diagnosis, however, we still lack precise diagnostic methods for numerous cardiovascular diseases including complex (and mixed) valvular, vascular, and ventricular interactions (C3VI) which is a complicated situation made even more challenging in the face of other cardiovascular pathologies. Transcatheter aortic valve replacement (TAVR) is a new less invasive intervention and is a growing alternative for patients with aortic stenosis. In a recent paper, we developed a non-invasive and Doppler-based diagnostic and monitoring computational mechanics framework for C3VI, called C3VI-DE that uses input parameters measured reliably using Doppler echocardiography. In the present work, we have developed another computational-mechanics framework for C3VI (called C3VI-CT). C3VI-CT uses the same lumped-parameter model core as C3VI-DE but its input parameters are measured using computed tomography and a sphygmomanometer. Both frameworks can quantify: (1) global hemodynamics (metrics of cardiac function); (2) local hemodynamics (metrics of circulatory function). We compared accuracy of the results obtained using C3VI-DE and C3VI-CT against catheterization data (gold standard) using a C3VI dataset (N = 49) for patients with C3VI who undergo TAVR in both pre and post-TAVR with a high variability. Because of the dataset variability and the broad range of diseases that it covers, it enables determining which framework can yield the most accurate results. In contrast with C3VI-CT, C3VI-DE tracks both the cardiac and vascular status and is in great agreement with cardiac catheter data.
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Affiliation(s)
- Melissa Baiocchi
- Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada
| | - Shirley Barsoum
- Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada
| | - Seyedvahid Khodaei
- Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada
| | | | | | - Emily C Dunford
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada
| | | | - Zahra Keshavarz-Motamed
- Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada.,School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada.,School of Computational Science and Engineering, McMaster University, Hamilton, ON, Canada
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11
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Paddock S, Tsampasian V, Assadi H, Mota BC, Swift AJ, Chowdhary A, Swoboda P, Levelt E, Sammut E, Dastidar A, Broncano Cabrero J, Del Val JR, Malcolm P, Sun J, Ryding A, Sawh C, Greenwood R, Hewson D, Vassiliou V, Garg P. Clinical Translation of Three-Dimensional Scar, Diffusion Tensor Imaging, Four-Dimensional Flow, and Quantitative Perfusion in Cardiac MRI: A Comprehensive Review. Front Cardiovasc Med 2021; 8:682027. [PMID: 34307496 PMCID: PMC8292630 DOI: 10.3389/fcvm.2021.682027] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/04/2021] [Indexed: 01/05/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging is a versatile tool that has established itself as the reference method for functional assessment and tissue characterisation. CMR helps to diagnose, monitor disease course and sub-phenotype disease states. Several emerging CMR methods have the potential to offer a personalised medicine approach to treatment. CMR tissue characterisation is used to assess myocardial oedema, inflammation or thrombus in various disease conditions. CMR derived scar maps have the potential to inform ablation therapy—both in atrial and ventricular arrhythmias. Quantitative CMR is pushing boundaries with motion corrections in tissue characterisation and first-pass perfusion. Advanced tissue characterisation by imaging the myocardial fibre orientation using diffusion tensor imaging (DTI), has also demonstrated novel insights in patients with cardiomyopathies. Enhanced flow assessment using four-dimensional flow (4D flow) CMR, where time is the fourth dimension, allows quantification of transvalvular flow to a high degree of accuracy for all four-valves within the same cardiac cycle. This review discusses these emerging methods and others in detail and gives the reader a foresight of how CMR will evolve into a powerful clinical tool in offering a precision medicine approach to treatment, diagnosis, and detection of disease.
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Affiliation(s)
- Sophie Paddock
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.,Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Vasiliki Tsampasian
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Hosamadin Assadi
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Bruno Calife Mota
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Amrit Chowdhary
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Peter Swoboda
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Eylem Levelt
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Eva Sammut
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Amardeep Dastidar
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Jordi Broncano Cabrero
- Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain
| | - Javier Royuela Del Val
- Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain
| | - Paul Malcolm
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Julia Sun
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Alisdair Ryding
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Chris Sawh
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Richard Greenwood
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - David Hewson
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Vassilios Vassiliou
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.,Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
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12
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Awwad A. Editorial for "4D flow MRI for Assessment of Pediatric Coarctation of the Aorta". J Magn Reson Imaging 2021; 55:209-210. [PMID: 34227166 DOI: 10.1002/jmri.27798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 06/02/2021] [Indexed: 11/10/2022] Open
Affiliation(s)
- Amir Awwad
- NIHR Nottingham Biomedical Research Centre, Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, NG7 2UH, UK
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13
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Demir A, Wiesemann S, Erley J, Schmitter S, Trauzeddel RF, Pieske B, Hansmann J, Kelle S, Schulz-Menger J. Traveling Volunteers: A Multi-Vendor, Multi-Center Study on Reproducibility and Comparability of 4D Flow Derived Aortic Hemodynamics in Cardiovascular Magnetic Resonance. J Magn Reson Imaging 2021; 55:211-222. [PMID: 34173297 DOI: 10.1002/jmri.27804] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Implementation of four-dimensional flow magnetic resonance (4D Flow MR) in clinical routine requires awareness of confounders. PURPOSE To investigate inter-vendor comparability of 4D Flow MR derived aortic hemodynamic parameters, assess scan-rescan repeatability, and intra- and interobserver reproducibility. STUDY TYPE Prospective multicenter study. POPULATION Fifteen healthy volunteers (age 24.5 ± 5.3 years, 8 females). FIELD STRENGTH/SEQUENCE 3 T, vendor-provided and clinically used 4D Flow MR sequences of each site. ASSESSMENT Forward flow volume, peak velocity, average, and maximum wall shear stress (WSS) were assessed via nine planes (P1-P9) throughout the thoracic aorta by a single observer (AD, 2 years of experience). Inter-vendor comparability as well as scan-rescan, intra- and interobserver reproducibility were examined. STATISTICAL TESTS Equivalence was tested setting the 95% confidence interval of intraobserver and scan-rescan difference as the limit of clinical acceptable disagreement. Intraclass correlation coefficient (ICC) and Bland-Altman plots were used for scan-rescan reproducibility and intra- and interobserver agreement. A P-value <0.05 was considered statistically significant. ICCs ≥ 0.75 indicated strong correlation (>0.9: excellent, 0.75-0.9: good). RESULTS Ten volunteers finished the complete study successfully. 4D flow derived hemodynamic parameters between scanners of three different vendors are not equivalent exceeding the equivalence range. P3-P9 differed significantly between all three scanners for forward flow (59.1 ± 13.1 mL vs. 68.1 ± 12.0 mL vs. 55.4 ± 13.1 mL), maximum WSS (1842.0 ± 190.5 mPa vs. 1969.5 ± 398.7 mPa vs. 1500.6 ± 247.2 mPa), average WSS (1400.0 ± 149.3 mPa vs. 1322.6 ± 211.8 mPa vs. 1142.0 ± 198.5 mPa), and peak velocity between scanners I vs. III (114.7 ± 12.6 cm/s vs. 101.3 ± 15.6 cm/s). Overall, the plane location at the sinotubular junction (P1) presented most inter-vendor stability (forward: 78.5 ± 15.1 mL vs. 80.3 ± 15.4 mL vs. 79.5 ± 19.9 mL [P = 0.368]; peak: 126.4 ± 16.7 cm/s vs. 119.7 ± 13.6 cm/s vs. 111.2 ± 22.6 cm/s [P = 0.097]). Scan-rescan reproducibility and intra- and interobserver variability were good to excellent (ICC ≥ 0.8) with best agreement for forward flow (ICC ≥ 0.98). DATA CONCLUSION The clinical protocol used at three different sites led to differences in hemodynamic parameters assessed by 4D flow. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Aylin Demir
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité-Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology, and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
| | - Stephanie Wiesemann
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité-Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology, and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jennifer Erley
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Berlin, Germany
| | - Sebastian Schmitter
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Ralf Felix Trauzeddel
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité-Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology, and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Anesthesiology and Intensive Care Medicine, Charité Campus Benjamin Franklin, Berlin, Germany
| | - Burkert Pieske
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany
| | - Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus und St. Hedwig-Klinik, Mannheim, Germany
| | - Sebastian Kelle
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité-Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology, and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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14
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Gottwald LM, Blanken CPS, Tourais J, Smink J, Planken RN, Boekholdt SM, Meijboom LJ, Coolen BF, Strijkers GJ, Nederveen AJ, van Ooij P. Retrospective Camera-Based Respiratory Gating in Clinical Whole-Heart 4D Flow MRI. J Magn Reson Imaging 2021; 54:440-451. [PMID: 33694310 PMCID: PMC8359364 DOI: 10.1002/jmri.27564] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 02/02/2021] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
Background Respiratory gating is generally recommended in 4D flow MRI of the heart to avoid blurring and motion artifacts. Recently, a novel automated contact‐less camera‐based respiratory motion sensor has been introduced. Purpose To compare camera‐based respiratory gating (CAM) with liver‐lung‐navigator‐based gating (NAV) and no gating (NO) for whole‐heart 4D flow MRI. Study Type Retrospective. Subjects Thirty two patients with a spectrum of cardiovascular diseases. Field Strength/Sequence A 3T, 3D‐cine spoiled‐gradient‐echo‐T1‐weighted‐sequence with flow‐encoding in three spatial directions. Assessment Respiratory phases were derived and compared against each other by cross‐correlation. Three radiologists/cardiologist scored images reconstructed with camera‐based, navigator‐based, and no respiratory gating with a 4‐point Likert scale (qualitative analysis). Quantitative image quality analysis, in form of signal‐to‐noise ratio (SNR) and liver‐lung‐edge (LLE) for sharpness and quantitative flow analysis of the valves were performed semi‐automatically. Statistical Tests One‐way repeated measured analysis of variance (ANOVA) with Wilks's lambda testing and follow‐up pairwise comparisons. Significance level of P ≤ 0.05. Krippendorff's‐alpha‐test for inter‐rater reliability. Results The respiratory signal analysis revealed that CAM and NAV phases were highly correlated (C = 0.93 ± 0.09, P < 0.01). Image scoring showed poor inter‐rater reliability and no significant differences were observed (P ≥ 0.16). The image quality comparison showed that NAV and CAM were superior to NO with higher SNR (P = 0.02) and smaller LLE (P < 0.01). The quantitative flow analysis showed significant differences between the three respiratory‐gated reconstructions in the tricuspid and pulmonary valves (P ≤ 0.05), but not in the mitral and aortic valves (P > 0.05). Pairwise comparisons showed that reconstructions without respiratory gating were different in flow measurements to either CAM or NAV or both, but no differences were found between CAM and NAV reconstructions. Data Conclusion Camera‐based respiratory gating performed as well as conventional liver‐lung‐navigator‐based respiratory gating. Quantitative image quality analysis showed that both techniques were equivalent and superior to no‐gating‐reconstructions. Quantitative flow analysis revealed local flow differences (tricuspid/pulmonary valves) in images of no‐gating‐reconstructions, but no differences were found between images reconstructed with camera‐based and navigator‐based respiratory gating. Level of Evidence 3 Technical Efficacy Stage 2
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Affiliation(s)
- Lukas M Gottwald
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Carmen P S Blanken
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - João Tourais
- MR R&D-Clinical Science, Philips Healthcare, Best, The Netherlands.,Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Magnetic Resonance Systems Lab, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Jouke Smink
- MR R&D-Clinical Science, Philips Healthcare, Best, The Netherlands
| | - R Nils Planken
- Cardiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | - Lilian J Meijboom
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Bram F Coolen
- Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Gustav J Strijkers
- Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Pim van Ooij
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
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15
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Pewowaruk RJ, Barton GP, Johnson C, Ralphe JC, Francois CJ, Lamers L, Roldán-Alzate A. Stent interventions for pulmonary artery stenosis improve bi-ventricular flow efficiency in a swine model. J Cardiovasc Magn Reson 2021; 23:13. [PMID: 33627121 PMCID: PMC7905680 DOI: 10.1186/s12968-021-00709-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 01/06/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Branch pulmonary artery (PA) stenosis (PAS) commonly occurs in patients with congenital heart disease (CHD). Prior studies have documented technical success and clinical outcomes of PA stent interventions for PAS but the impact of PA stent interventions on ventricular function is unknown. The objective of this study was to utilize 4D flow cardiovascular magnetic resonance (CMR) to better understand the impact of PAS and PA stenting on ventricular contraction and ventricular flow in a swine model of unilateral branch PA stenosis. METHODS 18 swine (4 sham, 4 untreated left PAS, 10 PAS stent intervention) underwent right heart catheterization and CMR at 20 weeks age (55 kg). CMR included ventricular strain analysis and 4D flow CMR. RESULTS 4D flow CMR measured inefficient right ventricular (RV) and left ventricular (LV) flow patterns in the PAS group (RV non-dimensional (n.d.) vorticity: sham 82 ± 47, PAS 120 ± 47; LV n.d. vorticity: sham 57 ± 5, PAS 78 ± 15 p < 0.01) despite the PAS group having normal heart rate, ejection fraction and end-diastolic volume. The intervention group demonstrated increased ejection fraction that resulted in more efficient ventricular flow compared to untreated PAS (RV n.d. vorticity: 59 ± 12 p < 0.01; LV n.d. vorticity: 41 ± 7 p < 0.001). CONCLUSION These results describe previously unknown consequences of PAS on ventricular function in an animal model of unilateral PA stenosis and show that PA stent interventions improve ventricular flow efficiency. This study also highlights the sensitivity of 4D flow CMR biomarkers to detect earlier ventricular dysfunction assisting in identification of patients who may benefit from PAS interventions.
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MESH Headings
- Animals
- Computed Tomography Angiography
- Disease Models, Animal
- Endovascular Procedures/instrumentation
- Magnetic Resonance Imaging, Cine
- Myocardial Contraction
- Myocardial Perfusion Imaging
- Pulmonary Artery/diagnostic imaging
- Pulmonary Artery/physiopathology
- Recovery of Function
- Stenosis, Pulmonary Artery/diagnostic imaging
- Stenosis, Pulmonary Artery/physiopathology
- Stenosis, Pulmonary Artery/therapy
- Stents
- Sus scrofa
- Ventricular Dysfunction, Right/diagnostic imaging
- Ventricular Dysfunction, Right/physiopathology
- Ventricular Dysfunction, Right/therapy
- Ventricular Function, Left
- Ventricular Function, Right
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Affiliation(s)
- Ryan J Pewowaruk
- Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
| | - Gregory P Barton
- University of Wisconsin-Madison, Madison, WI, USA
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Cody Johnson
- University of Wisconsin-Madison, Madison, WI, USA
| | - J Carter Ralphe
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Division of Cardiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Christopher J Francois
- University of Wisconsin-Madison, Madison, WI, USA
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Luke Lamers
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Division of Cardiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Alejandro Roldán-Alzate
- Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
- University of Wisconsin-Madison, Madison, WI, USA
- Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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16
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Geiger J, Callaghan FM, Burkhardt BEU, Valsangiacomo Buechel ER, Kellenberger CJ. Additional value and new insights by four-dimensional flow magnetic resonance imaging in congenital heart disease: application in neonates and young children. Pediatr Radiol 2021; 51:1503-1517. [PMID: 33313980 PMCID: PMC8266722 DOI: 10.1007/s00247-020-04885-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/08/2020] [Accepted: 10/12/2020] [Indexed: 12/12/2022]
Abstract
Cardiovascular MRI has become an essential imaging modality in children with congenital heart disease (CHD) in the last 15-20 years. With use of appropriate sequences, it provides important information on cardiovascular anatomy, blood flow and function for initial diagnosis and post-surgical or -interventional monitoring in children. Although considered as more sophisticated and challenging than CT, in particular in neonates and infants, MRI is able to provide information on intra- and extracardiac haemodynamics, in contrast to CT. In recent years, four-dimensional (4-D) flow MRI has emerged as an additional MR technique for retrospective assessment and visualisation of blood flow within the heart and any vessel of interest within the acquired three-dimensional (3-D) volume. Its application in young children requires special adaptations for the smaller vessel size and faster heart rate compared to adolescents or adults. In this article, we provide an overview of 4-D flow MRI in various types of complex CHD in neonates and infants to demonstrate its potential indications and beneficial application for optimised individual cardiovascular assessment. We focus on its application in clinical routine cardiovascular workup and, in addition, show some examples with pathologies other than CHD to highlight that 4-D flow MRI yields new insights in disease understanding and therapy planning. We shortly review the essentials of 4-D flow data acquisition, pre- and post-processing techniques in neonates, infants and young children. Finally, we conclude with some details on accuracy, limitations and pitfalls of the technique.
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Affiliation(s)
- Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr 75, 8032, Zürich, Switzerland. .,Children's Research Centre, University Children's Hospital Zürich, Zürich, Switzerland.
| | - Fraser M. Callaghan
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Center for MR research, University Children’s Hospital Zürich, Zürich, Switzerland
| | - Barbara E. U. Burkhardt
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Emanuela R. Valsangiacomo Buechel
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Christian J. Kellenberger
- Department of Diagnostic Imaging, University Children’s Hospital Zürich, Steinwiesstr 75, 8032 Zürich, Switzerland ,Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland
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17
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Abstract
Classification of heart failure is based on the left ventricular ejection fraction (EF): preserved EF, midrange EF, and reduced EF. There remains an unmet need for further heart failure phenotyping of ventricular structure-function relationships. Because of high spatiotemporal resolution, cardiac magnetic resonance (CMR) remains the reference modality for quantification of ventricular contractile function. The authors aim to highlight novel frameworks, including theranostic use of ferumoxytol, to enable more efficient evaluation of ventricular function in heart failure patients who are also frequently anemic, and to discuss emerging quantitative CMR approaches for evaluation of ventricular structure-function relationships in heart failure.
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18
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Validation of non-contrast multiple overlapping thin-slab 4D-flow cardiac magnetic resonance imaging. Magn Reson Imaging 2020; 74:223-231. [PMID: 33035638 DOI: 10.1016/j.mri.2020.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/04/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) flow quantification is typically performed using 2D phase-contrast (PC) imaging of a plane perpendicular to flow. 3D-PC imaging (4D-flow) allows offline quantification anywhere in a thick slab, but is often limited by suboptimal signal, potentially alleviated by contrast enhancement. We developed a non-contrast 4D-flow sequence, which acquires multiple overlapping thin slabs (MOTS) to minimize signal loss, and hypothesized that it could improve image quality, diagnostic accuracy, and aortic flow measurements compared to non-contrast single-slab approach. METHODS We prospectively studied 20 patients referred for transesophageal echocardiography (TEE), who underwent CMR (GE, 3 T). 2D-PC images of the aortic valve and three 4D-flow datasets covering the heart were acquired, including single-slab, pre- and post-contrast, and non-contrast MOTS. Each 4D-flow dataset was interpreted blindly for ≥moderate valve disease and compared to TEE. Flow visualization through each valve was scored (0 to 4), and aortic-valve flow measured on each 4D-flow dataset and compared to 2D-PC reference. RESULTS Diagnostic quality visualization was achieved with the pre- and post-contrast 4D-flow acquisitions in 25% and 100% valves, respectively (scores 0.9 ± 1.1 and 3.8 ± 0.5), and in 58% with the non-contrast MOTS (1.6 ± 1.1). Accuracy of detection of valve disease was 75%, 92% and 82%, respectively. Aortic flow measurements were possible in 53%, 95% and in 89% patients, respectively. The correlation between pre-contrast single-slab measurements and 2D-PC reference was weak (r = 0.21), but improved with both contrast enhancement (r = 0.71) and with MOTS (r = 0.67). CONCLUSIONS Although non-contrast MOTS 4D-flow improves valve function visualization and diagnostic accuracy, a significant proportion of valves cannot be accurately assessed. However, aortic flow measurements using non-contrast MOTS is feasible and reaches similar accuracy to that of contrast-enhanced 4D-flow.
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19
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Ciancarella P, Ciliberti P, Santangelo TP, Secchi F, Stagnaro N, Secinaro A. Noninvasive imaging of congenital cardiovascular defects. Radiol Med 2020; 125:1167-1185. [PMID: 32955650 DOI: 10.1007/s11547-020-01284-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/03/2020] [Indexed: 12/19/2022]
Abstract
Advances in the treatment have drastically increased the survival rate of congenital heart disease (CHD) patients. Therefore, the prevalence of these patients is growing. Imaging plays a crucial role in the diagnosis and management of this population as a key component of patient care at all stages, especially in those patients who survived into adulthood. Over the last decades, noninvasive imaging techniques, such as cardiac magnetic resonance (CMR) and cardiac computed tomography (CCT), progressively increased their clinical relevance, reaching stronger levels of accuracy and indications in the clinical surveillance of CHD. The current review highlights the main technical aspects and clinical applications of CMR and CCT in the setting of congenital cardiovascular abnormalities, aiming to address a state-of-the-art guidance to every physician and cardiac imager not routinely involved in the field.
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Affiliation(s)
- Paolo Ciancarella
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy
| | - Paolo Ciliberti
- Pediatric Cardiology and Pediatric Cardiac Surgery Department, Bambino Gesù Children's Hospital IRCSS, Rome, Italy
| | - Teresa Pia Santangelo
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy
| | - Francesco Secchi
- Radiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.,Department of Biomedical Sciences for Health, Università degli Studi di Milano, San Donato Milanese, Italy
| | - Nicola Stagnaro
- Radiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Aurelio Secinaro
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy.
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20
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Rizk J. 4D flow MRI applications in congenital heart disease. Eur Radiol 2020; 31:1160-1174. [PMID: 32870392 DOI: 10.1007/s00330-020-07210-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 07/04/2020] [Accepted: 08/19/2020] [Indexed: 12/15/2022]
Abstract
Advances in the diagnosis and management of congenital heart disease (CHD) have resulted in a growing population of patients surviving well into adulthood and requiring lifelong follow-up. Flow quantification is a central component in the assessment of patients with CHD. 4D flow magnetic resonance imaging (MRI) has emerged as a tool that enables comprehensive study of flow. It involves the acquisition of a three-dimensional time-resolved volume with velocity encoding in all three spatial directions along the cardiac cycle. This allows flow quantification and visualization of blood flow patterns as well as the study of advanced hemodynamic parameters as kinetic energy and wall shear stress. 4D flow MRI-based study of flow has given insight into the altered hemodynamics in CHD particularly in bicuspid aortic valve disease and Fontan circulation. The aim of this review is to discuss the expanding clinical and research applications of 4D flow MRI in CHD as well its limitations.Key Points• Three-dimensional velocity encoding allows not only flow quantification but also the visualization of multidirectional flow patterns and the study of advanced hemodynamic parameters.• 4D flow MRI has added insight into the abnormal hemodynamics involved in congenital heart disease in particular in bicuspid aortic valve and Fontan circulation.• The main limitation of 4D flow MRI in congenital heart disease is the relatively long scan duration required for the complete coverage of the heart and great vessels with adequate spatiotemporal resolution.
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Affiliation(s)
- Judy Rizk
- Department of Cardiology, Faculty of Medicine, Alexandria University, El-Khartoum Square, Alexandria, 21521, Egypt.
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Pennig L, Wagner A, Weiss K, Lennartz S, Huntgeburth M, Hickethier T, Maintz D, Naehle CP, Bunck AC, Doerner J. Comparison of a novel Compressed SENSE accelerated 3D modified relaxation-enhanced angiography without contrast and triggering with CE-MRA in imaging of the thoracic aorta. Int J Cardiovasc Imaging 2020; 37:315-329. [PMID: 32852711 PMCID: PMC7878228 DOI: 10.1007/s10554-020-01979-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/19/2020] [Indexed: 12/13/2022]
Abstract
To compare a novel Compressed SENSE accelerated ECG- and respiratory-triggered flow-independent 3D isotropic Relaxation-Enhanced Angiography without Contrast and Triggering (modified REACT) with standard non-ECG-triggered 3D contrast-enhanced magnetic resonance angiography (CE-MRA) for imaging of the thoracic aorta in patients with connective tissue diseases (CTD) or other aortic diseases using manual and semiautomatic measurement approaches. This retrospective, single-center analysis of 30 patients (June–December 2018) was conducted by two radiologists, who independently measured aortic diameters on modified REACT and CE-MRA using manual (Multiplanar-Reconstruction) and semiautomatic (Advanced Vessel Analysis) measurement tools on seven levels (inner edge): Aortic annulus and sinus, sinotubular junction, mid- and high-ascending aorta, aortic isthmus, and descending aorta. Bland–Altman analysis was conducted to evaluate differences between the mean values of aortic width and ICCs were calculated to assess interobserver agreement. For each level, image quality was evaluated on a four-point scale in consensus with Wilcoxon matched-pair test used to evaluate for differences between both MRA techniques. Additionally, evaluation time for each measurement technique was noted, which was compared applying one-way ANOVA. When comparing both imaging and measurement methods, CE-MRA (mean difference 0.24 ± 0.27 mm) and the AVA-tool (− 0.21 ± 0.15 mm) yielded higher differences compared to modified REACT (− 0.11 ± 0.11 mm) and the MPR-tool (0.07 ± 0.21 mm) for all measurement levels combined without yielding clinical significance. There was an excellent interobserver agreement between modified REACT and CE-MRA using both tools of measurement (ICC > 0.9). Modified REACT (average acquisition time 06:34 ± 01:36 min) provided better image quality from aortic annulus to mid-ascending aorta (p < 0.05), whereas at distal measurement levels, no significant differences were noted. Regarding time requirement, no statistical significance was found between both measurement techniques (p = 0.08). As a novel non-CE-MRA technique, modified REACT allows for fast imaging of the thoracic aorta with higher image quality in the proximal aorta than CE-MRA enabling a reliable measurement of vessel dimensions without the need for contrast agent. Thus, it represents a clinically suitable alternative for patients requiring repetitive imaging. Manual and semiautomatic measurement approaches provided comparable results without significant difference in time need.
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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.
| | - Anton Wagner
- 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 St, White 270, Boston, MA, 02114, USA
- Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Weyertal 115b, 50937, Cologne, Germany
| | - Michael Huntgeburth
- Adult Congenital Heart Disease (ACHD) Center, Clinic III for Internal Medicine, Department of Cardiology, Heart Center, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Tilman Hickethier
- 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
| | - 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
| | - 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
| | - 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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Hu L, Ouyang R, Sun A, Wang Q, Guo C, Peng Y, Qin Y, Zhang Y, Xiang Y, Zhong Y. Pulmonary artery hemodynamic assessment of blood flow characteristics in repaired tetralogy of Fallot patients versus healthy child volunteers. Quant Imaging Med Surg 2020; 10:921-933. [PMID: 32489917 DOI: 10.21037/qims.2020.03.23] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background This study aimed to assess the severity of helix and vortex flow in pulmonary artery hemodynamic using 4-dimensional flow cardiac magnetic resonance (4D flow CMR) in patients with repaired tetralogy of Fallot (rTOF) and healthy child volunteers and to explore the relationship between pulmonary hemodynamic changes and right heart function. Methods CMR studies were performed in 25 rTOF patients (15 M/10 F; 8.44±4.52 years) and 10 normal child volunteers (7 M/3 F; 8.2±1.22 years) on 3.0T MR scanners. Cardiac function was calculated in the patient and control groups. Systolic diameter, peak velocity, net flow, and regurgitation was quantified in the main pulmonary artery (MPA) plane, left pulmonary artery (LPA) plane, and right pulmonary artery (RPA) plane. The relationship between the hemodynamic parameters and quantitative flow indices and right ventricular (RV) function were analyzed through simple linear regression analysis using Pearson R-values. We analyzed differences in flow patterns between the 2 groups for the same slice. According to the severity of the helix and vortex flow in the 4D flow CMR, we categorized rTOF patients into the following groups: group 1, severe flow grading; group 2, mild flow grading; group 3, no flow grading; the control cases with no flow grade were included in group 4. We compared RV cardiac function, wall shear stress (WSS), and viscous energy loss (EL) between group 1+2 and group 3+4 using unpaired t-test analysis for normally distributed data and the Mann-Whitney test for non-normally distributed continuous variables. Results RV end-diastolic volume index (EDVi) (127.8±36.13 vs. 83.11±6.18, respectively; P<0.001), RV end-systolic volume index (ESVi) (65.14±27.02 vs. 36.13±5.95, respectively; P<0.001), and ejection fraction (EF) (49.97±6.39 vs. 56.71±4.56, respectively; P=0.006,) were significantly different between the groups. The rTOF diameters of the MPA and RPA were significantly larger than those of the control group (19.74±4.01 vs. 14.97±2.37 for MPA, P=0.001; 12.04±3.28 vs. 8.99±1.23 for RPA, P=0.004, respectively). There were correlations between peak WSS and pulmonary regurgitation (PR) in the MPA (R=0.48, P=0.014), correlations between peak systolic EL and RVEDV (R=0.51, P=0.008), and between peak systolic EL and RVESV (R=0.51, P=0.009). The peak systole and diastole WSS of group 1+2 were significantly different compared to group 3+4 in the MPA (P<0.05). The peak systole and diastole EL of group 1+2 was significantly different from group 3+4 in the MPA (P<0.05). The peak systole EL of group 1+2 was significantly different from group 3+4 in the RPA (P<0.01). Conclusions Increased peak WSS and EL were associated with pulmonary hemodynamic changes in the MPA and RPA. There might be an earlier marker of evolving hemodynamic inefficiency than that in traditional parameters. The better understanding of pulmonary artery hemodynamic assessment in rTOF may lead to a greater insight into pulmonary artery (PA)-RV interactions and how they ultimately impact RV function.
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Affiliation(s)
- Liwei Hu
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rongzhen Ouyang
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Aimin Sun
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Qian Wang
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Chen Guo
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yafeng Peng
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yan Qin
- Department of Cardiovascular and Thoracic Surgery, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yong Zhang
- MR research, GE Healthcare, Shanghai 201203, China
| | - Yang Xiang
- J.C. Wu Center for Aerodynamics, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yumin Zhong
- Diagnostic Imaging Center, Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
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Ebel S, Dufke J, Köhler B, Preim B, Behrendt B, Riekena B, Jung B, Stehning C, Kropf S, Grothoff M, Gutberlet M. Automated Quantitative Extraction and Analysis of 4D flow Patterns in the Ascending Aorta: An intraindividual comparison at 1.5 T and 3 T. Sci Rep 2020; 10:2949. [PMID: 32076060 PMCID: PMC7031260 DOI: 10.1038/s41598-020-59826-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 01/29/2020] [Indexed: 12/28/2022] Open
Abstract
4D flow MRI enables quantitative assessment of helical flow. Current methods are susceptible to noise. To evaluate helical flow patterns in healthy volunteers and patients with bicuspid aortic valves (BAV) at 1.5 T and 3 T using pressure-based helix-extraction in 4D flow MRI. Two intraindividual 4D flow MRI examinations were performed at 1.5 T and 3 T in ten healthy volunteers (5 females, 32 ± 3 years) and 2 patients with BAV using different acceleration techniques (kt-GRAPPA and centra). Several new quantitative parameters for the evaluation of volumes [ml], lengths [mm] as well as temporal parameters [ms] of helical flow were introduced and analyzed using the software tool Bloodline. We found good correlations between measurements in volunteers at 1.5 T and 3 T regarding helical flow volumes (R = 0.98) and temporal existence (R = 0.99) of helices in the ascending aorta. Furthermore, we found significantly larger (11.7 vs. 77.6 ml) and longer lasting (317 vs. 769 ms) helices in patients with BAV than in volunteers. The assessed parameters do not depend on the magnetic field strength used for the acquisition. The technique of pressure-based extraction of 4D flow MRI pattern is suitable for differentiation of normal and pathological flow.
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Affiliation(s)
- Sebastian Ebel
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany. .,Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
| | - Josefin Dufke
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Benjamin Köhler
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Bernhard Preim
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Benjamin Behrendt
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Boris Riekena
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Bernd Jung
- Department of Diagnostic, Interventional and paediatric Radiology, University of Bern, Bern, Switzerland
| | | | - Siegfried Kropf
- Institute for Biometrics and Medical Informatics, University of Magdeburg, Magdeburg, Germany
| | - Matthias Grothoff
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Matthias Gutberlet
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
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Pennig L, Wagner A, Weiss K, Lennartz S, Grunz JP, Maintz D, Laukamp KR, Hickethier T, Naehle CP, Bunck AC, Doerner J. Imaging of the pulmonary vasculature in congenital heart disease without gadolinium contrast: Intraindividual comparison of a novel Compressed SENSE accelerated 3D modified REACT with 4D contrast-enhanced magnetic resonance angiography. J Cardiovasc Magn Reson 2020; 22:8. [PMID: 31969137 PMCID: PMC6977250 DOI: 10.1186/s12968-019-0591-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/05/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients with Congenital heart disease (CHD) require repetitive imaging of the pulmonary vasculature throughout their life. In this study, we compared a novel Compressed SENSE accelerated (factor 9) electrocardiogram (ECG)- and respiratory-triggered 3D modified Relaxation-Enhanced Angiography without Contrast and Triggering (modified REACT-non-contrast-enhanced magnetic resonance angiography (modified REACT-non-CE-MRA)) with standard non-ECG-triggered time-resolved 4D CE-MRA for imaging of the pulmonary arteries and veins in patients with CHD. METHODS This retrospective analysis of 25 patients (June 2018-April 2019) with known or suspected CHD was independently conducted by two radiologists executing measurements on modified REACT-non-CE-MRA and 4D CE-MRA on seven dedicated points (inner edge): Main pulmonary artery (MPA), right and left pulmonary artery, right superior and inferior pulmonary vein, left superior (LSPV) and inferior pulmonary vein. Image quality for arteries and veins was evaluated on a four-point scale in consensus. RESULTS Twenty-three of the 25 included patients presented a CHD. There was a high interobserver agreement for both methods of imaging at the pulmonary arteries (ICC ≥ 0.96); at the pulmonary veins, modified REACT-non-CE-MRA showed a slightly higher agreement, pronounced at LSPV (ICC 0.946 vs. 0.895). Measurements in 4D CE-MRA showed higher diameter values compared to modified REACT-non-CE-MRA, at the pulmonary arteries reaching significant difference (e.g. MPA: mean 0.408 mm, p = 0.002). Modified REACT-non-CE-MRA (average acquisition time 07:01 ± 02:44 min) showed significant better image quality than 4D CE-MRA at the pulmonary arteries (3.84 vs. 3.32, p < 0.001) and veins (3.32 vs. 2.72, p = 0.015). CONCLUSIONS Compressed SENSE accelerated (factor 9) ECG- and respiratory-triggered 3D modified REACT-non-CE-MRA allows for reliable and fast imaging of the pulmonary arteries and veins with higher image quality and slightly higher interobserver agreement than 4D CE-MRA without contrast agent and associated disadvantages. Therefore, it represents a clinically suitable technique for patients requiring repetitive imaging of the pulmonary vasculature, e.g. patients with CHD.
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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
| | - Anton Wagner
- 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
- Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Weyertal 115b, 50931 Cologne, Germany
| | - Jan-Peter Grunz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, 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
| | - 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
| | - Tilman Hickethier
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937 Cologne, 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
| | - 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
| | - 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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