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Mertens L, Singh G, Armenian S, Chen MH, Dorfman AL, Garg R, Husain N, Joshi V, Leger KJ, Lipshultz SE, Lopez-Mattei J, Narayan HK, Parthiban A, Pignatelli RH, Toro-Salazar O, Wasserman M, Wheatley J. Multimodality Imaging for Cardiac Surveillance of Cancer Treatment in Children: Recommendations From the American Society of Echocardiography. J Am Soc Echocardiogr 2023; 36:1227-1253. [PMID: 38043984 DOI: 10.1016/j.echo.2023.09.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Affiliation(s)
- Luc Mertens
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Gautam Singh
- Children's Hospital of Michigan, Detroit, Michigan; Central Michigan University School of Medicine, Saginaw, Michigan
| | - Saro Armenian
- City of Hope Comprehensive Cancer Center, Duarte, California
| | - Ming-Hui Chen
- Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Adam L Dorfman
- University of Michigan, C.S. Mott Children's Hospital, Ann Arbor, Michigan
| | - Ruchira Garg
- Cedars-Sinai Heart Institute, Los Angeles, California
| | | | - Vijaya Joshi
- St. Jude Children's Research Hospital/University of Tennessee College of Medicine, Memphis, Tennessee
| | - Kasey J Leger
- University of Washington, Seattle Children's Hospital, Seattle, Washington
| | - Steven E Lipshultz
- University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Oishei Children's Hospital, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Hari K Narayan
- University of California San Diego, Rady Children's Hospital San Diego, San Diego, California
| | - Anitha Parthiban
- Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | | | - Olga Toro-Salazar
- Connecticut Children's Medical Center, University of Connecticut School of Medicine, Hartford, Connecticut
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Brown NK, Berhane H, Gambetta K, Markl M, Rigsby CK, Robinson JD, Husain N. Right Ventricular Remodeling Assessed by MRI in Duchenne Muscular Dystrophy. J Magn Reson Imaging 2023; 58:486-495. [PMID: 36354274 PMCID: PMC10169546 DOI: 10.1002/jmri.28521] [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: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND In Duchenne muscular dystrophy (DMD), the right ventricle (RV) tends to be relatively well preserved, but characterization remains difficult due to its complex architecture. Tissue phase mapping (TPM) is a phase contrast cine MRI technique that allows for multidirectional assessment of myocardial velocities. PURPOSE To use TPM to elucidate relationships between myocardial structure, function, and clinical variables in DMD. STUDY TYPE Retrospective. SUBJECTS A total of 20 patients with muscular dystrophy (median age: 16 years); 18 age-matched normal controls (median age: 15 years). FIELD STRENGTH/SEQUENCE Three-directional velocity encoded cine gradient echo sequence (TPM) at 1.5 T, balanced steady-state free procession (bSSFP), T1 mapping with extracellular volume (ECV), and late gadolinium enhancement (LGE). ASSESSMENT TPM in basal, mid, and apical short-axis planes was performed as part of a standard MRI study with collection of clinical data. Radial, circumferential, and longitudinal velocities (Vr, Vφ, and Vz, respectively) and corresponding time to peak (TTP) velocities were quantified from TPM and used to calculate RV twist as well as intraventricular and interventricular dyssynchrony. The correlations between TPM velocities, myocardial structure/function, and clinical variables were assessed. STATISTICAL TEST Unpaired t-test, Wilcoxon rank-sum test, Bland-Altman analyses were used for comparisons between DMD patients and controls and between DMD subgroups. Pearson's test was used for correlations (r). Significance level: P < 0.05. RESULTS Compared to controls, DMD patients had preserved RV ejection fraction (RVEF 53% ± 8%) but significantly increased interventricular dyssynchrony (Vφ: 0.49 ± 0.21 vs. 0.72 ± 0.17). Within the DMD cohort, RV dyssynchrony significantly increased with lower LV ejection fraction (intraventricular Vr and Vz: r = -0.49; interventricular Vz: r = 0.48). In addition, RV intraventricular dyssynchrony significantly increased with older age (Vz: r = 0.67). DATA CONCLUSION RV remodeling in DMD occurs in the context of preserved RVEF. Within DMD, this abnormal RV deformation is associated with older age and decreased LVEF. EVIDENCE LEVEL 4. TECHNICAL EFFICACY Stage 2.
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Affiliation(s)
- Nicholas K Brown
- Division of Cardiology, Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington, USA
| | - Haben Berhane
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Katheryn Gambetta
- Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Biomedical Engineering, Northwestern University McCormick School of Engineering, Evanston, IL, USA
| | - Cynthia K Rigsby
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Radiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Joshua D Robinson
- Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Nazia Husain
- Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Beroukhim RS, Merlocco A, Gerardin JF, Tham E, Patel JK, Siddiqui S, Goot B, Farooqi K, Soslow J, Grotenhuis H, Hor K, Muthurangu V, Raimondi F. Multicenter research priorities in pediatric CMR: results of a collaborative wiki survey. Sci Rep 2023; 13:9022. [PMID: 37270629 DOI: 10.1038/s41598-023-34720-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 05/06/2023] [Indexed: 06/05/2023] Open
Abstract
Multicenter studies in pediatric cardiovascular magnetic resonance (CMR) improve statistical power and generalizability. However, a structured process for identifying important research topics has not been developed. We aimed to (1) develop a list of high priority knowledge gaps, and (2) pilot the use of a wiki survey to collect a large group of responses. Knowledge gaps were defined as areas that have been either unexplored or under-explored in the research literature. High priority goals were: (1) feasible and answerable from a multicenter research study, and (2) had potential for high impact on the field of pediatric CMR. Seed ideas were contributed by a working group and imported into a pairwise wiki survey format which allows for new ideas to be uploaded and voted upon ( https://allourideas.org ). Knowledge gaps were classified into 2 categories: 'Clinical CMR Practice' (16 ideas) and 'Disease Specific Research' (22 ideas). Over a 2-month period, 3,658 votes were cast by 96 users, and 2 new ideas were introduced. The 3 highest scoring sub-topics were myocardial disorders (9 ideas), translating new technology & techniques into clinical practice (7 ideas), and normal reference values (5 ideas). The highest priority gaps reflected strengths of CMR (e.g., myocardial tissue characterization; implementation of technologic advances into clinical practice), and deficiencies in pediatrics (e.g., data on normal reference values). The wiki survey format was effective and easy to implement, and could be used for future surveys.
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Affiliation(s)
- Rebecca S Beroukhim
- Department of Cardiology, Harvard Medical School, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
| | - Anthony Merlocco
- Department of Cardiology, University of Tennessee Health Science Center, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - Jennifer F Gerardin
- Division of Pediatric Cardiology, Medical College of Wisconsin, Children's Hospital of Wisconsin, Milwaukee, WI, USA
| | - Edythe Tham
- Department of Pediatrics, Stollery Children's Hospital, University of Alberta, Edmonton, AB, Canada
| | - Jyoti K Patel
- Division of Cardiology, Department of Pediatrics, Riley Hospital for Children at Indiana University Health, Indianapolis, IN, USA
| | - Saira Siddiqui
- Division of Pediatric Cardiology, Atlantic Health System, Morristown, NJ, USA
| | - Benjamin Goot
- Division of Pediatric Cardiology, Medical College of Wisconsin, Children's Hospital of Wisconsin, Milwaukee, WI, USA
| | - Kanwal Farooqi
- Division of Pediatric Cardiology, Department of Pediatrics, Columbia University Medical Center, New York Presbyterian-Morgan Stanley Children's Hospital, New York, NY, USA
| | - Jonathan Soslow
- Division of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University, Nashville, TN, USA
| | - Heynric Grotenhuis
- Department of Pediatric Cardiology, Utrecht Medical Center, Utrecht, The Netherlands
| | - Kan Hor
- Department of Pediatrics, The Heart Center, Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Vivek Muthurangu
- Department of Cardiology, UCL Center for Translational Cardiovascular Imaging, University College London, London, UK
| | - Francesca Raimondi
- Department of Cardiology, Meyer Children's Hospital, University of Florence, Florence, Italy
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Shen D, Pathrose A, Sarnari R, Blake A, Berhane H, Baraboo JJ, Carr JC, Markl M, Kim D. Automated segmentation of biventricular contours in tissue phase mapping using deep learning. NMR IN BIOMEDICINE 2021; 34:e4606. [PMID: 34476863 PMCID: PMC8795858 DOI: 10.1002/nbm.4606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 07/27/2021] [Accepted: 08/02/2021] [Indexed: 06/13/2023]
Abstract
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardial velocities. Despite its potential, clinical use is limited due to the requisite labor-intensive manual segmentation of cardiac contours for all time frames. The purpose of this study was to develop a deep learning (DL) network for automated segmentation of TPM images, without significant loss in segmentation and myocardial velocity quantification accuracy compared with manual segmentation. We implemented a multi-channel 3D (three dimensional; 2D + time) dense U-Net that trained on magnitude and phase images and combined cross-entropy, Dice, and Hausdorff distance loss terms to improve the segmentation accuracy and suppress unnatural boundaries. The dense U-Net was trained and tested with 150 multi-slice, multi-phase TPM scans (114 scans for training, 36 for testing) from 99 heart transplant patients (44 females, 1-4 scans/patient), where the magnitude and velocity-encoded (Vx , Vy , Vz ) images were used as input and the corresponding manual segmentation masks were used as reference. The accuracy of DL segmentation was evaluated using quantitative metrics (Dice scores, Hausdorff distance) and linear regression and Bland-Altman analyses on the resulting peak radial and longitudinal velocities (Vr and Vz ). The mean segmentation time was about 2 h per patient for manual and 1.9 ± 0.3 s for DL. Our network produced good accuracy (median Dice = 0.85 for left ventricle (LV), 0.64 for right ventricle (RV), Hausdorff distance = 3.17 pixels) compared with manual segmentation. Peak Vr and Vz measured from manual and DL segmentations were strongly correlated (R ≥ 0.88) and in good agreement with manual analysis (mean difference and limits of agreement for Vz and Vr were -0.05 ± 0.98 cm/s and -0.06 ± 1.18 cm/s for LV, and -0.21 ± 2.33 cm/s and 0.46 ± 4.00 cm/s for RV, respectively). The proposed multi-channel 3D dense U-Net was capable of reducing the segmentation time by 3,600-fold, without significant loss in accuracy in tissue velocity measurements.
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Affiliation(s)
- Daming Shen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
- Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, USA
| | - Ashitha Pathrose
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Roberto Sarnari
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Allison Blake
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Haben Berhane
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
- Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, USA
| | - Justin J Baraboo
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
- Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, USA
| | - James C Carr
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
- Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, USA
| | - Daniel Kim
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, USA
- Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, USA
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Husain N, Watanabe K, Berhane H, Gupta A, Markl M, Rigsby CK, Robinson JD. Multi-parametric cardiovascular magnetic resonance with regadenoson stress perfusion is safe following pediatric heart transplantation and identifies history of rejection and cardiac allograft vasculopathy. J Cardiovasc Magn Reson 2021; 23:135. [PMID: 34809650 PMCID: PMC8607604 DOI: 10.1186/s12968-021-00803-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 08/10/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The progressive risk of graft failure in pediatric heart transplantation (PHT) necessitates close surveillance for rejection and coronary allograft vasculopathy (CAV). The current gold standard of surveillance via invasive coronary angiography is costly, imperfect and associated with complications. Our goal was to assess the safety and feasibility of a comprehensive multi-parametric CMR protocol with regadenoson stress perfusion in PHT and evaluate for associations with clinical history of rejection and CAV. METHODS We performed a retrospective review of 26 PHT recipients who underwent stress CMR with tissue characterization and compared with 18 age-matched healthy controls. CMR protocol included myocardial T2, T1 and extracellular volume (ECV) mapping, late gadolinium enhancement (LGE), qualitative and semi-quantitative stress perfusion (myocardial perfusion reserve index; MPRI) and strain imaging. Clinical, demographics, rejection score and CAV history were recorded and correlated with CMR parameters. RESULTS Mean age at transplant was 9.3 ± 5.5 years and median duration since transplant was 5.1 years (IQR 7.5 years). One patient had active rejection at the time of CMR, 11/26 (42%) had CAV 1 and 1/26 (4%) had CAV 2. Biventricular volumes were smaller and cardiac output higher in PHT vs. healthy controls. Global T1 (1053 ± 42 ms vs 986 ± 42 ms; p < 0.001) and ECV (26.5 ± 4.0% vs 24.0 ± 2.7%; p = 0.017) were higher in PHT compared to helathy controls. Significant relationships between changes in myocardial tissue structure and function were noted in PHT: increased T2 correlated with reduced LVEF (r = - 0.57, p = 0.005), reduced global circumferential strain (r = - 0.73, p < 0.001) and reduced global longitudinal strain (r = - 0.49, p = 0.03). In addition, significant relationships were noted between higher rejection score and global T1 (r = 0.38, p = 0.05), T2 (r = 0.39, p = 0.058) and ECV (r = 0.68, p < 0.001). The presence of even low-grade CAV was associated with higher global T1, global ECV and maximum segmental T2. No major side effects were noted with stress testing. MPRI was analyzed with good interobserver reliability and was lower in PHT compared to healthy controls (0.69 ± - 0.21 vs 0.94 ± 0.22; p < 0.001). CONCLUSION In a PHT population with low incidence of rejection or high-grade CAV, CMR demonstrates important differences in myocardial structure, function and perfusion compared to age-matched healthy controls. Regadenoson stress perfusion CMR could be safely and reliably performed. Increasing T2 values were associated with worsening left ventricular function and increasing T1/ECV values were associated with rejection history and low-grade CAV. These findings warrant larger prospective studies to further define the role of CMR in PHT graft surveillance.
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Affiliation(s)
- Nazia Husain
- Department of Cardiology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Kae Watanabe
- Department of Cardiology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Haben Berhane
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, USA
| | - Aditi Gupta
- Lincoln Medical and Mental Health Center, Bronx, NY USA
| | - Michael Markl
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Cynthia K. Rigsby
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, USA
- Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, USA
| | - Joshua D. Robinson
- Department of Cardiology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, USA
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6
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Sarnari R, Blake AM, Ruh A, Abbasi MA, Pathrose A, Blaisdell J, Dolan RS, Ghafourian K, Wilcox JE, Khan SS, Vorovich EE, Rich JD, Anderson AS, Yancy CW, Carr JC, Markl M. Evaluating Biventricular Myocardial Velocity and Interventricular Dyssynchrony in Adult Patients During the First Year After Heart Transplantation. J Magn Reson Imaging 2020; 52:920-929. [PMID: 32061045 DOI: 10.1002/jmri.27091] [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: 07/29/2019] [Revised: 01/28/2020] [Accepted: 01/30/2020] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Magnetic resonance tissue phase mapping (TPM) measures three-directional myocardial velocities of the left and right ventricle (LV, RV). This noninvasive technique may supplement endomyocardial biopsy (EMB) in monitoring grafts post-heart transplantation (HTx). PURPOSE To assess biventricular myocardial velocity alterations in grafts and investigate the relationship between velocities and acute cellular rejection (ACR) episodes. STUDY TYPE Prospective. SUBJECTS Twenty-seven patients within 1 year post-HTx (49 ± 13 years, 19 M) and 18 age-matched controls (49 ± 15 years, 12 M). FIELD STRENGTH/SEQUENCE 1.5T, 2D balanced steady-state free precession, and TPM. ASSESSMENT Ventricular function: end-diastolic and end-systolic volumes, stroke volumes, ejection fraction (EF), and myocardial mass. TPM velocities: peak-systolic and peak-diastolic velocities, cardiac twist, and interventricular dyssynchrony. ACR rejection episodes: International Society for Heart and Lung Transplantation grading of EMB specimens. STATISTICAL TESTS The Lilliefors test for normality, unpaired t-tests, and Wilcoxon rank-sum tests for normally and nonnormally distributed data, respectively, were used, as well as multivariate regression for confounding variables and Pearson's correlation for associations between TPM velocities and global function. RESULTS Compared to controls, HTx patients demonstrated reduced biventricular systolic longitudinal velocities (LV: 5.2 ± 2.1 vs. 4.0 ± 1.5 cm/s, P < 0.05; RV: 4.2 ± 1.3 vs. 3.1 ± 1.2 cm/s, P < 0.01). Correlation analysis revealed significant positive relationships for biventricular EF with radial peak velocities of the same ventricle in both systole and diastole (LV systole: r = 0.48, P < 0.01; LV diastole: r = 0.28, P < 0.05; RV systole: r = 0.35, P < 0.01; RV diastole: r = 0.36, P < 0.01). Segmentally, longitudinal velocities were impaired in 7/16 LV segments and 5/10 RV segments in systole and 7/10 RV segments in diastole. TPM analysis in studies with >4 preceding ACR episodes showed globally reduced RV and LV systolic radial velocity, and segmentally reduced radial and longitudinal systolic velocities. DATA CONCLUSION Biventricular global and segmental velocities were reduced in HTx patients. Patients with >4 rejection episodes showed reduced myocardial velocities. The TPM sequence may add functional information for monitoring graft dysfunction. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2 J. Magn. Reson. Imaging 2020;52:920-929.
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Affiliation(s)
- Roberto Sarnari
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Allison M Blake
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alexander Ruh
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Muhannad A Abbasi
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ashitha Pathrose
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Julie Blaisdell
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ryan S Dolan
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Kambiz Ghafourian
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jane E Wilcox
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sadiya S Khan
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Esther E Vorovich
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jonathan D Rich
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Allen S Anderson
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Clyde W Yancy
- Department of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - James C Carr
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Cardiovascular Imaging, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, Illinois, USA
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