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Sheagren CD, Shadafny N, Escartin T, Casas MT, Cheung CC, Roifman I, Wright GA. Cardiac Function Evaluation in Healthy Volunteers and Patients with Implantable Cardioverter-Defibrillators using High-Bandwidth Spoiled Gradient-Echo Cine. J Cardiovasc Magn Reson 2025:101893. [PMID: 40220902 DOI: 10.1016/j.jocmr.2025.101893] [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: 01/10/2025] [Revised: 03/28/2025] [Accepted: 04/04/2025] [Indexed: 04/14/2025] Open
Abstract
BACKGROUND Implantable cardioverter-defibrillators (ICDs) cause banding artifacts around areas of B0 inhomogeneity in conventional steady-state free precession (SSFP) cine sequences. Alternatively, high-bandwidth gradient-echo (GRE) cine sequences can be used to minimize artifacts in the myocardium. In this study, we assessed the bias and interobserver variability in cardiac volumes and ejection fractions between GRE cines in acquired in the presence of ICDS and ground-truth SSFP cines (without ICDs present) in a population of healthy volunteers. Further, a small cohort of ICD patients were recruited and scanned to demonstrate clinical feasibility. METHODS High-bandwidth GRE cine was performed in eleven healthy volunteers with taped ICDs mimicking clinical implants. After the ICD was removed, ground-truth SSFP cine was performed. Two observers separately assessed image quality metrics and contoured the cine images to return cardiac volumes and ejection fractions. Nine patients with an ICD were also scanned with the GRE cine protocol before contrast administration; data was contoured by two observers and analyzed for interobserver agreement. RESULTS In the healthy volunteer dataset, no statistically significant differences were found when comparing volumes or ejection fractions between sequences (p > 0.05). Statistically significant differences were found when comparing RVEF (p = 0.009) and RVESV (p = 0.029) between observers, with no other significant interobserver differences. The interobserver variability of patient LVEF and RVEF data was 3-4%, with lower image quality metrics for patient scans than volunteer scans. CONCLUSION GRE cine imaging in healthy volunteers with taped ICDs demonstrated good agreement with SSFP cine, but increased interobserver variability. In patients, reducing the breath-hold duration caused a decrease in image quality, with GRE cine imaging in patients with ICDs demonstrating poorer image quality and greater interobserver variability than in healthy volunteer studies. Future work is needed to improve GRE cine image quality in patients with ICDs to reduce interobserver variability and improve clinical confidence.
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Affiliation(s)
- Calder D Sheagren
- Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, M5G 1L7, ON, Canada; Physical Sciences Platform, Sunnybrook Research Institute, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Nasim Shadafny
- Schulich Heart Research Program, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Terenz Escartin
- Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, M5G 1L7, ON, Canada; Physical Sciences Platform, Sunnybrook Research Institute, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Maria Terricabras Casas
- Schulich Heart Research Program, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Christopher C Cheung
- Schulich Heart Research Program, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Idan Roifman
- Schulich Heart Research Program, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, M5G 1L7, ON, Canada; Physical Sciences Platform, Sunnybrook Research Institute, 2075 Bayview Ave, Toronto, M4N 3M5, ON, Canada
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Goo HW. Pediatric three-dimensional quantitative cardiovascular computed tomography. Pediatr Radiol 2025; 55:591-603. [PMID: 38755443 DOI: 10.1007/s00247-024-05931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 05/18/2024]
Abstract
High-resolution, isotropic, 3-dimensional (D) data from pediatric cardiovascular computed tomography (CT) offer great potential for the accurate quantitative evaluation of pediatric cardiovascular and pulmonary vascular diseases. Recent pilot studies using pediatric 3-D cardiovascular CT have shown promising results in assessing cardiac function in conditions such as tetralogy of Fallot, cardiac defects with a hypoplastic ventricle, Ebstein anomaly, and in quantifying myocardial mass. In addition, the quantitative assessment of pulmonary vascularity is useful for evaluating differential right-to-left pulmonary vascular volume ratio, the effectiveness of pulmonary angioplasty, and predicting pulmonary hypertension. These initial experiences could broaden the role of pediatric cardiovascular CT in clinical practice. Furthermore, the current barriers to its widespread use, pertinent solutions to these problems, and new applications are discussed. In this review, the 3-D quantitative evaluations of cardiac function and pulmonary vascularity using high-resolution pediatric cardiovascular CT data are illustrated.
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Affiliation(s)
- Hyun Woo Goo
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
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Miah T, Gunda R, Greil G, Hussain M, Zou Q. Ventricular function assessment using an ultrafast spoiled gradient echo sequence with an intravascular blood pool contrast agent in pediatric patients. PLoS One 2025; 20:e0318299. [PMID: 39888889 PMCID: PMC11785336 DOI: 10.1371/journal.pone.0318299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 01/13/2025] [Indexed: 02/02/2025] Open
Abstract
BACKGROUND Balanced steady-state free processing (bSSFP) MR sequence has long been considered the gold standard method for ventricular function assessment (VFA), and normal values are based on this acquisition. However, bSSFP sequence suffers from susceptibility artifacts due to scenarios such as cardiac implants. The T1-TFE sequence, also known as ultrafast spoiled gradient sequence, is less affected by such susceptibility artifacts. While it is unclear if T1-TFE sequence yields similar VFA results as the bSSFP sequence. PURPOSE To validate if the T1-TFE sequence, with an intravascular blood pool contrast agent, yields similar results for VFA as the gold-standard non-contrast bSSFP approach, so that the T1-TFE sequence can be used for VFA when bSSFP approach fails. METHODS Two sets of images from two different sequences were utilized in this study. T1-TFE (with contrast) scans were used as one while bSSFP-derived images were used as the other. 37 pediatric patients were recruited into this study. Semi-automated software (cvi42) was used to segment and derive ventricular volumes. Image quality was objectively assessed by comparing signal-to-noise (SNR) and contrast-to-noise ratio (CNR) scores. Last, two expert readers provided a subjective analysis of image quality. Paired t-tests were used to assess significant differences in volumetric values (end-diastolic and end-systolic) between T1-TFE and bSSFP sequences. A Bland-Altman analysis evaluated potential bias and agreement between these sequences. RESULTS Ventricular function assessment via volumetric data analysis resulted in no statistically significant differences (P > 0.05), and high R2 values. SNR and CNR scores also presented with no statistically significant differences (P > 0.05), and nearly identical scores (SNR T1-TFE mean: 29.5 ± 3.1, SNR bSSFP mean: 28.8 ± 3.7, CNR T1-TFE mean: 28.8 ± 3.3, CNR bSSFP mean: 28.1 ± 4.0). Image quality assessment via expert subjective image analysis scores is consistent with the data. All Bland-Altman plots show good agreement and reveal no systematic bias or random error. CONCLUSION T1-TFE sequences in combination with Ferumoxytol allow reliable ventricular function assessment and overcome the limitations of traditional bSSFP MR sequences in this context.
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Affiliation(s)
- Tayaba Miah
- Division of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, United States of America
| | - Rithvik Gunda
- Division of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, United States of America
| | - Gerald Greil
- Division of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, United States of America
| | - Mohammad Hussain
- Division of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, United States of America
| | - Qing Zou
- Division of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, United States of America
- Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, United States of America
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Kobayashi H, Nakata N, Izuka S, Hongo K, Nishikawa M. Using artificial intelligence and promoter-level transcriptome analysis to identify a biomarker as a possible prognostic predictor of cardiac complications in male patients with Fabry disease. Mol Genet Metab Rep 2024; 41:101152. [PMID: 39484074 PMCID: PMC11525769 DOI: 10.1016/j.ymgmr.2024.101152] [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: 05/10/2024] [Revised: 10/06/2024] [Accepted: 10/07/2024] [Indexed: 11/03/2024] Open
Abstract
Fabry disease is the most frequently occurring form of lysosomal disease in Japan, and is characterized by a wide variety of conditions. Primarily, the three major types of concerns associated with Fabry disease observed during adulthood that must be prevented are central nervous system, renal, and cardiac complications. Cardiac complications, such as cardiomyopathy, cardiac muscle fibrosis, and severe arrhythmia, are the most common mortality causes in patients with Fabry disease. To predict cardiac complications of Fabry disease, we extracted RNA from the venous blood of patients for cap analysis of gene expression (CAGE), performed likelihood ratio tests for each RNA expression dataset obtained from individuals with and without cardiac complications, and analyzed the correlation between cardiac functional factors observed using magnetic resonance imaging data extracted using artificial intelligence algorithms and RNA expression. Our findings showed that CHN1 expression was significantly higher in male Fabry disease patients with cardiac complications and that it could be associated with many cardiac functional factors. CHN1 encodes a GTPase-activating protein, chimerin 1, which is specific to the GTP-binding protein Rac (involved in oxidative stress generation and the promotion of myocardial fibrosis). Thus, CHN1 is a potential predictive biomarker of cardiac complications in Fabry disease; however, further studies are required to confirm this observation.
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Affiliation(s)
- Hiroshi Kobayashi
- Division of Gene Therapy, Research Center for Medical Sciences, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
- Department of Pediatrics, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
| | - Norio Nakata
- Division of Artificial Intelligence Medicine, Research Center for Medical Sciences, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
- Department of Radiology, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
| | - Sayoko Izuka
- Division of Gene Therapy, Research Center for Medical Sciences, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
| | - Kenichi Hongo
- Division of Cardiology, Department of Internal Medicine, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
| | - Masako Nishikawa
- Clinical Research Support Center, The Jikei University of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan
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Reiter C, Reiter G, Kräuter C, Scherr D, Schmidt A, Fuchsjäger M, Reiter U. Evaluation of left ventricular and left atrial volumetric function from native MR multislice 4D flow magnitude data. Eur Radiol 2024; 34:981-993. [PMID: 37580598 PMCID: PMC10853296 DOI: 10.1007/s00330-023-10017-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/08/2023] [Accepted: 06/12/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVES To assess the feasibility, precision, and accuracy of left ventricular (LV) and left atrial (LA) volumetric function evaluation from native magnetic resonance (MR) multislice 4D flow magnitude images. MATERIALS & METHODS In this prospective study, 60 subjects without signs or symptoms of heart failure underwent 3T native cardiac MR multislice 4D flow and bSSFP-cine realtime imaging. LV and LA volumetric function parameters were evaluated from 4D flow magnitude (4D flow-cine) and bSSFP-cine data using standard software to obtain end-diastolic volume (EDV), end-systolic volume (ESV), ejection-fraction (EF), stroke-volume (SV), LV muscle mass (LVM), LA maximum volume, LA minimum volume, and LA total ejection fraction (LATEF). Stroke volumes derived from both imaging methods were further compared to 4D pulmonary artery flow-derived net forward volumes (NFV). Methods were compared by correlation and Bland-Altman analysis. RESULTS Volumetric function parameters from 4D flow-cine and bSSFP-cine showed high to very high correlations (r = 0.83-0.98). SV, LA volumes and LATEF did not differ between methods. LV end-diastolic and end-systolic volumes were slightly underestimated (EDV: -2.9 ± 5.8 mL; ESV: -2.3 ± 3.8 mL), EF was slightly overestimated (EF: 0.9 ± 2.6%), and LV mass was considerably overestimated (LVM: 39.0 ± 11.4 g) by 4D flow-cine imaging. SVs from both methods correlated very highly with NFV (r = 0.91 in both cases) and did not differ from NFV. CONCLUSION Native multislice 4D flow magnitude data allows precise evaluation of LV and LA volumetric parameters; however, apart from SV, LV volumetric parameters demonstrate bias and need to be referred to their respective normal values. CLINICAL RELEVANCE STATEMENT Volumetric function assessment from native multislice 4D flow magnitude images can be performed with routinely used clinical software, facilitating the application of 4D flow as a one-stop-shop functional cardiac MR exam, providing consistent, simultaneously acquired, volume and flow data. KEY POINTS • Native multislice 4D flow imaging allows evaluation of volumetric left ventricular and atrial function parameters. • Left ventricular and left atrial function parameters derived from native multislice 4D flow data correlate highly with corresponding standard cine-derived parameters. • Multislice 4D flow-derived volumetric stroke volume and net forward volume do not differ.
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Affiliation(s)
- Clemens Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Gert Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
- Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria
| | - Corina Kräuter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
| | - Daniel Scherr
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Albrecht Schmidt
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Michael Fuchsjäger
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
| | - Ursula Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria.
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Kim D, Collins JD, White JA, Hanneman K, Lee DC, Patel AR, Hu P, Litt H, Weinsaft JW, Davids R, Mukai K, Ng MY, Luetkens JA, Roguin A, Rochitte CE, Woodard PK, Manisty C, Zareba KM, Mont L, Bogun F, Ennis DB, Nazarian S, Webster G, Stojanovska J. SCMR expert consensus statement for cardiovascular magnetic resonance of patients with a cardiac implantable electronic device. J Cardiovasc Magn Reson 2024; 26:100995. [PMID: 38219955 PMCID: PMC11211236 DOI: 10.1016/j.jocmr.2024.100995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) is a proven imaging modality for informing diagnosis and prognosis, guiding therapeutic decisions, and risk stratifying surgical intervention. Patients with a cardiac implantable electronic device (CIED) would be expected to derive particular benefit from CMR given high prevalence of cardiomyopathy and arrhythmia. While several guidelines have been published over the last 16 years, it is important to recognize that both the CIED and CMR technologies, as well as our knowledge in MR safety, have evolved rapidly during that period. Given increasing utilization of CIED over the past decades, there is an unmet need to establish a consensus statement that integrates latest evidence concerning MR safety and CIED and CMR technologies. While experienced centers currently perform CMR in CIED patients, broad availability of CMR in this population is lacking, partially due to limited availability of resources for programming devices and appropriate monitoring, but also related to knowledge gaps regarding the risk-benefit ratio of CMR in this growing population. To address the knowledge gaps, this SCMR Expert Consensus Statement integrates consensus guidelines, primary data, and opinions from experts across disparate fields towards the shared goal of informing evidenced-based decision-making regarding the risk-benefit ratio of CMR for patients with CIEDs.
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Affiliation(s)
- Daniel Kim
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | | | - James A White
- Departments of Cardiac Sciences and Diagnostic Imaging, Cummings School of Medicine, University of Calgary, Calgary, Canada
| | - Kate Hanneman
- Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital and Peter Munk Cardiac Centre, University of Toronto, Toronto, Canada
| | - Daniel C Lee
- Department of Medicine (Division of Cardiology), Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Amit R Patel
- Cardiovascular Division, University of Virginia, Charlottesville, VA, USA
| | - Peng Hu
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Harold Litt
- Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan W Weinsaft
- Department of Medicine (Division of Cardiology), Weill Cornell Medicine, New York, NY, USA
| | - Rachel Davids
- SHS AM NAM USA DI MR COLLAB ADV-APPS, Siemens Medical Solutions USA, Inc., Chicago, Il, USA
| | - Kanae Mukai
- Salinas Valley Memorial Healthcare System, Ryan Ranch Center for Advanced Diagnostic Imaging, Monterey, CA, USA
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, the Hong Kong Special Administrative Region of China
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany
| | - Ariel Roguin
- Department of Cardiology, Hillel Yaffe Medical Center, Hadera and Faculty of Medicine. Technion - Israel Institute of Technology, Israel
| | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Pamela K Woodard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, London, UK
| | - Karolina M Zareba
- Division of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA
| | - Lluis Mont
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - Frank Bogun
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Saman Nazarian
- Section of Cardiac Electrophysiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Webster
- Department of Pediatrics (Cardiology), Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA
| | - Jadranka Stojanovska
- Department of Radiology, Grossman School of Medicine, New York University, New York, NY, USA
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Dong Z, Ma X, Wang J, Yang S, Yu S, Song Y, Tang Y, Xiang X, Yang K, Zhao K, Lu M, Chen X, Zhao S. Incremental Diagnostic Value of Right Ventricular Strain Analysis in Arrhythmogenic Right Ventricular Cardiomyopathy. J Am Heart Assoc 2024; 13:e031403. [PMID: 38156506 PMCID: PMC10863820 DOI: 10.1161/jaha.123.031403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/14/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Strain analysis is a sensitive method for the assessment of ventricular structural or functional alterations. The authors aimed to determine whether right ventricular (RV) strain parameters can discriminate patients with revised Task Force Criteria-diagnosed arrhythmogenic RV cardiomyopathy (ARVC) incremental to the existing cardiovascular magnetic resonance (CMR) criteria, thus improving the diagnostic yield of CMR in ARVC. METHODS AND RESULTS A total of 74 patients with revised Task Force Criteria-diagnosed ARVC (37 borderline and 37 definite) and 37 controls were retrospectively enrolled for analysis. Using CMR feature tracking, RV global longitudinal (GLS), circumferential, and radial strain of all participants were evaluated. Compared with controls, the study patients demonstrated significantly impaired global biventricular strain in all 3 directions (all P<0.001). Receiver operating characteristic curve analysis indicated that RV GLS was the strongest discriminator among all RV strain parameters for the identification of patients with ARVC (area under the curve, 0.92). Using the Youden index, the authors determined RV GLS ≥-19.95% as the diagnostic criterion of ARVC. In patients diagnosed with borderline ARVC according to revised Task Force Criteria but with no or only minor CMR criteria, there were >50% presenting with impaired RV GLS. When both conventional criteria and RV GLS were considered together, this new diagnostic method demonstrated an overall diagnostic accuracy of 90%. The likelihood ratio test showed a significant incremental diagnostic value of RV GLS (P=0.02) over the existing CMR major criteria. CONCLUSIONS The current study showed an improved diagnostic accuracy when both RV GLS and the existing CMR criteria were considered together, especially for patients with borderline diagnosis, suggesting the incremental value of strain analysis to the initial assessment of ARVC.
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Affiliation(s)
- Zhixiang Dong
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xuan Ma
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiaxin Wang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shujuan Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shiqin Yu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yanyan Song
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yun Tang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiaorui Xiang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Kai Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesSZ University TownShenzhenChina
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiuyu Chen
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular DiseaseChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Yuan Y, Herrington D, Lima JA, Stacey RB, Zhao D, Thomas J, Garcia M, Pu M. Assessment of Prevalence, Clinical Characteristics, and Risk Factors Associated With "Low Flow State" Using Cardiac Magnetic Resonance. Mayo Clin Proc Innov Qual Outcomes 2023; 7:443-451. [PMID: 37818141 PMCID: PMC10562103 DOI: 10.1016/j.mayocpiqo.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023] Open
Abstract
Objective To assess prevalence, clinical characteristics, and risk factors associated with low flow state (LFS) in a multiethnic population with normal left ventricular ejection fraction (LVEF). Patients and Methods The study included 4398 asymptomatic participants undergoing cardiac magnetic resonance from July 17, 2000, to August 29, 2002. Left ventricular (LV) mass, volume, and myocardial contraction fraction were assessed. Low flow state was defined as stroke volume index (SVi of <35 mL/m2). Clinical characteristics, cardiac risk factors, and cardiac magnetic resonance findings were compared between LFS and normal flow state (NFS) groups (NFS: SVi of ≥35 mL/m2). Results There were significant differences in the prevalence of LFS in different ethnic groups. Individuals with LFS were older (66±9.6 vs 61±10 years; P<.0001). The prevalence of LFS was 19% in the group aged older than 70 years. The logistic multivariable regression analysis found that age was independently associated with LFS. The LFS group had significantly higher prevalence of diabetes (30% vs 24%; P=.001), LV mass-volume ratio (1.13±0.22 vs 0.91±0.15; P<.0001), inflammatory markers, a lower LV mass index (59±10 vs 65±11 kg/m2; P<.001), lower myocardial contraction fraction (58.1±10.6% vs 75.7±13%; P<.001), and a lower left atrial size index (32.2±4.6 vs 36.7±5.9 mm/m2; P<.0001) than NFS. Conclusion Low flow state may be considered an under-recognized clinical entity associated with increasing age, multiple risk factors, increased inflammatory markers, a lower LV mass index, and suboptimal myocardial performance despite the presence of normal LVEF and absence of valvular disease.
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Affiliation(s)
- Yifang Yuan
- Section on Cardiology, Wake Forest University Cardiology, Johns Hopkins University, Winston-Salem, NC
| | - David Herrington
- Section on Cardiology, Wake Forest University Cardiology, Johns Hopkins University, Winston-Salem, NC
| | - Joao A.C. Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, ML
| | - R. Brandon Stacey
- Section on Cardiology, Wake Forest University Cardiology, Johns Hopkins University, Winston-Salem, NC
| | - David Zhao
- Section on Cardiology, Wake Forest University Cardiology, Johns Hopkins University, Winston-Salem, NC
| | - James Thomas
- Division of Cardiology, Northwestern University, School of Medicine, Chicago, IL
| | - Mario Garcia
- Division of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Min Pu
- Division of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
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Craft J, Li Y, Nashta NF, Weber J. Comparison between compressed sensing and segmented cine cardiac magnetic resonance: a meta-analysis. BMC Cardiovasc Disord 2023; 23:473. [PMID: 37735355 PMCID: PMC10512640 DOI: 10.1186/s12872-023-03426-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/01/2023] [Indexed: 09/23/2023] Open
Abstract
PURPOSE Highly accelerated compressed sensing cine has allowed for quantification of ventricular function in a single breath hold. However, compared to segmented breath hold techniques, there may be underestimation or overestimation of LV volumes. Furthermore, a heterogeneous sample of techniques have been used in volunteers and patients for pre-clinical and clinical use. This can complicate individual comparisons where small, but statistically significant differences exist in left ventricular morphological and/or functional parameters. This meta-analysis aims to provide a comparison of conventional cine versus compressed sensing based reconstruction techniques in patients and volunteers. METHODS Two investigators performed systematic searches for eligible studies using PubMed/MEDLINE and Web of Science to identify studies published 1/1/2010-3/1/2021. Ultimately, 15 studies were included for comparison between compressed sensing cine and conventional imaging. RESULTS Compared to conventional cine, there were small, statistically significant overestimation of LV mass, underestimation of stroke volume and LV end diastolic volume (mean difference 2.65 g [CL 0.57-4.73], 2.52 mL [CL 0.73-4.31], and 2.39 mL [CL 0.07-4.70], respectively). Attenuated differences persisted across studies using prospective gating (underestimated stroke volume) and non-prospective gating (underestimation of stroke volume, overestimation of mass). There were no significant differences in LV volumes or LV mass with high or low acceleration subgroups in reference to conventional cine except slight underestimation of ejection fraction among high acceleration studies. Reduction in breath hold acquisition time ranged from 33 to 64%, while reduction in total scan duration ranged from 43 to 97%. CONCLUSION LV volume and mass assessment using compressed sensing CMR is accurate compared to conventional parallel imaging cine.
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Affiliation(s)
- Jason Craft
- DeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, 100 Port Washington Blvd, Roslyn, NY, 11576, USA.
| | - Yulee Li
- DeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, 100 Port Washington Blvd, Roslyn, NY, 11576, USA
| | - Niloofar Fouladi Nashta
- Sol Price School of Public Policy and Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA
| | - Jonathan Weber
- DeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, 100 Port Washington Blvd, Roslyn, NY, 11576, USA
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10
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Lin K, Sarnari R, Carr JC, Markl M. Cine MRI-Derived Radiomics Features of the Cardiac Blood Pool: Periodicity, Specificity, and Reproducibility. J Magn Reson Imaging 2023; 58:807-814. [PMID: 36533630 PMCID: PMC10277313 DOI: 10.1002/jmri.28572] [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: 10/10/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Although radiomics features of the left ventricular wall have been used to assess cardiac diseases, radiomics features of the cardiac blood pool have been relatively ignored. PURPOSE To test the hypothesis that cine MRI-derived radiomics features of the cardiac blood pool are associated with cardiac function and motion. STUDY TYPE Retrospective. POPULATION A total of 26 healthy volunteers (51.2 ± 15.6 years; 17 males). FIELD STRENGTH/SEQUENCE A 1.5 T/balanced steady-state free precession (bSSFP). ASSESSMENT The radiomics features (107 features in seven classes) of the blood pool of the left/right ventricle/atrium (LV/RV/LA/RA) were extracted on four-chamber cine images (25 phases). Conventional cardiac function parameters (volumes, ejection fraction [EF] and longitudinal strain) were assessed in each cardiac chamber. Intraobserver- and interobserver agreements of radiomics features of all chambers acquired at all phases were assessed, as well as scan-rescan agreement in a subset of 13 volunteers. STATISTICAL TESTS Pearson correlation coefficients (r) were used to assess the associations between peak values of radiomics features and end-diastolic (or maximal) volume, end-systolic (or minimal) volume, EF, and longitudinal strain of corresponding chambers. Good intraobserver, interobserver, and scan-rescan agreements for radiomics features acquired were defined as intraclass correlation coefficient (ICC) > 0.7 or coefficient of variation (CoV) < 20%. RESULTS Most radiomics features of the blood pool varied periodically throughout the cardiac cycle. Peak values of chamber-specific blood pool radiomics features were correlated with traditional cardiac function and motion indices of corresponding chambers (r: 0.4-0.87). Ninety-three (87%), 86 (80%), and 73 (68%) radiomics features demonstrated good intraobserver, interobserver, and scan-rescan reproducibility, respectively. CONCLUSION Cine MRI-derived radiomics features within LV/RV/LA/RA are associated with traditional cardiac function and motion indices of corresponding chambers and may have the potential to become novel quantitative imaging biomarkers in cardiovascular medicine. EVIDENCE LEVEL 3. TECHNICAL EFFICACY 1.
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Affiliation(s)
- Kai Lin
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - Roberto Sarnari
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - James C Carr
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
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11
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Wettersten N, Katz R, Greenberg JH, Gutierrez OM, Lima JAC, Sarnak MJ, Schrauben S, Deo R, Bonventre J, Vasan RS, Kimmel PL, Shlipak M, Ix JH. Association of Kidney Tubule Biomarkers With Cardiac Structure and Function in the Multiethnic Study of Atherosclerosis. Am J Cardiol 2023; 196:11-18. [PMID: 37086700 PMCID: PMC10204591 DOI: 10.1016/j.amjcard.2023.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 02/17/2023] [Accepted: 02/25/2023] [Indexed: 04/24/2023]
Abstract
Markers of glomerular disease, estimated glomerular filtration rate (eGFR) and albuminuria, are associated with cardiac structural abnormalities and incident cardiovascular disease (CVD). We aimed to determine whether biomarkers of kidney tubule injury, function, and systemic inflammation are associated with cardiac structural abnormalities. Among 393 Multi-Ethnic Study of Atherosclerosis participants without diabetes, CVD, or chronic kidney disease, we assessed the association of 12 biomarkers of kidney tubule injury, function, and systemic inflammation with the left ventricular mass/volume ratio (LVmvr) and left ventricular ejection fraction (LVEF) on cardiac magnetic resonance imaging using linear regression. The average age was 60 ± 10 years; 48% were men; mean eGFR was 96±16 ml/min/1.73 m2; mean LVmvr was 0.93±0.18 g/ml, and mean LVEF was 62±6%. Each twofold greater concentration of plasma soluble urokinase plasminogen activator receptor was associated with a 0.04 g/ml (95% confidence interval [CI] 0.01 to 0.08 g/ml) higher LVmvr and 2.1% (95% CI 0.6 to 3.5%) lower LVEF, independent of risk factors for CVD, eGFR, and albuminuria. Each twofold greater plasma monocyte chemoattractant protein 1 was associated with higher LVmvr with a similar coefficient to that of plasma soluble urokinase plasminogen activator receptor. Each twofold greater concentration of plasma chitinase-3-like protein 1 and urine alpha-1-microglobulin was associated with a 1.1% (95% CI 0.4 to 1.7%) and 1.2% (95% CI 0.2 to 2.2%) lower LVEF, respectively. In conclusion, abnormal kidney tubule health may lead to cardiac dysfunction above and beyond eGFR and albuminuria.
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Affiliation(s)
- Nicholas Wettersten
- Cardiology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California; Division of Cardiology, Department of Medicine, University of California San Diego, San Diego, California.
| | - Ronit Katz
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Jason H Greenberg
- Section of Nephrology, Department of Pediatrics, Clinical and Translational Research Accelerator, Yale University School of Medicine, New Haven, Connecticut
| | - Orlando M Gutierrez
- Departments of Medicine and Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Joao A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland
| | - Mark J Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Sarah Schrauben
- Renal-Electrolyte and Hypertension Division, and Department of Epidemiology, Biostatistics and Informatics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rajat Deo
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph Bonventre
- Division of Renal Medicine and Division of Engineering in Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ramachandran S Vasan
- Department of Medicine, Boston University Schools of Medicine and Public Health, Boston, Massachusetts; Department of Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
| | - Paul L Kimmel
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Michael Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco VA Health Care System, University of California, San Francisco, California
| | - Joachim H Ix
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California; Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, California; Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California
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12
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Masutani EM, Chandrupatla RS, Wang S, Zocchi C, Hahn LD, Horowitz M, Jacobs K, Kligerman S, Raimondi F, Patel A, Hsiao A. Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiol Cardiothorac Imaging 2023; 5:e220202. [PMID: 37404797 PMCID: PMC10316298 DOI: 10.1148/ryct.220202] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/07/2023] [Accepted: 03/20/2023] [Indexed: 07/06/2023]
Abstract
Purpose To assess the feasibility of a newly developed algorithm, called deep learning synthetic strain (DLSS), to infer myocardial velocity from cine steady-state free precession (SSFP) images and detect wall motion abnormalities in patients with ischemic heart disease. Materials and Methods In this retrospective study, DLSS was developed by using a data set of 223 cardiac MRI examinations including cine SSFP images and four-dimensional flow velocity data (November 2017 to May 2021). To establish normal ranges, segmental strain was measured in 40 individuals (mean age, 41 years ± 17 [SD]; 30 men) without cardiac disease. Then, DLSS performance in the detection of wall motion abnormalities was assessed in a separate group of patients with coronary artery disease, and these findings were compared with consensus results of four independent cardiothoracic radiologists (ground truth). Algorithm performance was evaluated by using receiver operating characteristic curve analysis. Results Median peak segmental radial strain in individuals with normal cardiac MRI findings was 38% (IQR: 30%-48%). Among patients with ischemic heart disease (846 segments in 53 patients; mean age, 61 years ± 12; 41 men), the Cohen κ among four cardiothoracic readers for detecting wall motion abnormalities was 0.60-0.78. DLSS achieved an area under the receiver operating characteristic curve of 0.90. Using a fixed 30% threshold for abnormal peak radial strain, the algorithm achieved a sensitivity, specificity, and accuracy of 86%, 85%, and 86%, respectively. Conclusion The deep learning algorithm had comparable performance with subspecialty radiologists in inferring myocardial velocity from cine SSFP images and identifying myocardial wall motion abnormalities at rest in patients with ischemic heart disease.Keywords: Neural Networks, Cardiac, MR Imaging, Ischemia/Infarction Supplemental material is available for this article. © RSNA, 2023.
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13
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Lin L, Liu P, Sun G, Wang J, Liang D, Zheng H, Jin Z, Wang Y. Bi-ventricular assessment with cardiovascular magnetic resonance at 5 Tesla: A pilot study. Front Cardiovasc Med 2022; 9:913707. [PMID: 36172590 PMCID: PMC9510665 DOI: 10.3389/fcvm.2022.913707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/19/2022] [Indexed: 11/21/2022] Open
Abstract
Background Cardiovascular magnetic resonance (CMR) imaging at ultra-high fields (UHF) such as 7T has encountered many challenges such as faster T2* relaxation, stronger B0 and B1+ field inhomogeneities and additional safety concerns due to increased specific absorption rate (SAR) and peripheral nervous stimulation (PNS). Recently, a new line of 5T whole body MRI system has become available, and this study aims at evaluating the performance and benefits of this new UHF system for CMR imaging. Methods Gradient echo (GRE) CINE imaging was performed on healthy volunteers at both 5 and 3T, and was compared to balanced steady-state-free-procession (bSSFP) CINE imaging at 3T as reference. Higher spatial resolution GRE CINE scans were additionally performed at 5T. All scans at both fields were performed with ECG-gating and breath-holding. Image quality was blindly evaluated by two radiologists, and the cardiac functional parameters (e.g., EDV/ESV/mass/EF) of the left and right ventricles were measured for statistical analyses using the Wilcoxon signed-rank test and Bland-Altman analysis. Results Compared to 3T GRE CINE imaging, 5T GRE CINE imaging achieved comparable or improved image quality with significantly superior SNR and CNR, and it has also demonstrated excellent capability for high resolution (1.0 × 1.0 × 6.0 mm3) imaging. Functional assessments from 5T GRE CINE images were highly similar with the 3T bSSFP CINE reference. Conclusions This pilot study has presented the initial evaluation of CMR CINE imaging at 5T UHF, which yielded superior image quality and accurate functional quantification when compared to 3T counterparts. Along with reliable ECG gating, the new 5T UHF system has the potential to achieve well-balanced performance for CMR applications.
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Affiliation(s)
- Lu Lin
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peijun Liu
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gan Sun
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Wang
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dong Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, China Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, China Academy of Sciences, Shenzhen, China
| | - Zhengyu Jin
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yining Wang
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Yining Wang
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14
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Zhang L, Yin FF, Lu K, Moore B, Han S, Cai J. Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric MRI fusion. PRECISION RADIATION ONCOLOGY 2022; 6:190-198. [PMID: 36590077 PMCID: PMC9797133 DOI: 10.1002/pro6.1167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/23/2022] [Indexed: 01/05/2023] Open
Abstract
Purpose Multiparametric MRI contains rich and complementary anatomical and functional information, which is often utilized separately. This study aims to propose an adaptive multiparametric MRI (mpMRI) fusion method and examine its capability in improving tumor contrast and synthesizing novel tissue contrasts among liver cancer patients. Methods An adaptive mpMRI fusion method was developed with five components: image pre-processing, fusion algorithm, database, adaptation rules, and fused MRI. Linear-weighted summation algorithm was used for fusion. Weight-driven and feature-driven adaptations were designed for different applications. A clinical-friendly graphic-user-interface (GUI) was developed in Matlab and used for mpMRI fusion. Twelve liver cancer patients and a digital human phantom were included in the study. Synthesis of novel image contrast and enhancement of image signal and contrast were examined in patient cases. Tumor contrast-to-noise ratio (CNR) and liver signal-to-noise ratio (SNR) were evaluated and compared before and after mpMRI fusion. Results The fusion platform was applicable in both XCAT phantom and patient cases. Novel image contrasts, including enhancement of soft-tissue boundary, vertebral body, tumor, and composition of multiple image features in a single image were achieved. Tumor CNR improved from -1.70 ± 2.57 to 4.88 ± 2.28 (p < 0.0001) for T1-w, from 3.39 ± 1.89 to 7.87 ± 3.47 (p < 0.01) for T2-w, and from 1.42 ± 1.66 to 7.69 ± 3.54 (p < 0.001) for T2/T1-w MRI. Liver SNR improved from 2.92 ± 2.39 to 9.96 ± 8.60 (p < 0.05) for DWI. The coefficient of variation (CV) of tumor CNR lowered from 1.57, 0.56, and 1.17 to 0.47, 0.44, and 0.46 for T1-w, T2-w and T2/T1-w MRI, respectively. Conclusion A multiparametric MRI fusion method was proposed and a prototype was developed. The method showed potential in improving clinically relevant features such as tumor contrast and liver signal. Synthesis of novel image contrasts including the composition of multiple image features into single image set was achieved.
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Affiliation(s)
- Lei Zhang
- Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
- Medical Physics Graduate Program, Duke Kunshan University, Kunshan, Jiangsu, 215316 China
| | - Fang-Fang Yin
- Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
- Medical Physics Graduate Program, Duke Kunshan University, Kunshan, Jiangsu, 215316 China
| | - Ke Lu
- Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Brittany Moore
- Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Silu Han
- Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Jing Cai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
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15
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Portmann J, Wech T, Eirich P, Heidenreich JF, Petri N, Petritsch B, Bley TA, Köstler H. Evaluation of combined late gadolinium-enhancement and functional cardiac magnetic resonance imaging using spiral real-time acquisition. NMR IN BIOMEDICINE 2022; 35:e4732. [PMID: 35297111 DOI: 10.1002/nbm.4732] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023]
Abstract
The purpose of the current study was to implement and validate joint real-time acquisition of functional and late gadolinium-enhancement (LGE) cardiac magnetic resonance (MR) images during free breathing. Inversion recovery cardiac real-time images with a temporal resolution of 50 ms were acquired using a spiral trajectory (IR-CRISPI) with a pre-emphasis based on the gradient system transfer function during free breathing. Functional and LGE cardiac MR images were reconstructed using a low-rank plus sparse model. Late gadolinium-enhancement appearance, image quality, and functional parameters of IR-CRISPI were compared with clinical standard balanced steady-state free precession breath-hold techniques in 10 patients. The acquisition of IR-CRISPI in free breathing of the entire left ventricle took 97 s on average. Bland-Altman analysis and Wilcoxon tests showed a higher artifact level for the breath-hold technique (p = 0.003), especially for arrhythmic patients or patients with dyspnea, but an increased noise level for IR-CRISPI of the LGE images (p = 0.01). The estimated transmural extent of the enhancement differed by not more than 25% and did not show a significant bias between the techniques (p = 0.50). The ascertained functional parameters were similar for the breath-hold technique and IR-CRISPI, that is, with a minor, nonsignificant (p = 0.16) mean difference of the ejection fraction of 2.3% and a 95% confidence interval from -4.8% to 9.4%. IR-CRISPI enables joint functional and LGE imaging in free breathing with good image quality but distinctly shorter scan times in comparison with breath-hold techniques.
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Affiliation(s)
- Johannes Portmann
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Tobias Wech
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Philipp Eirich
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Julius F Heidenreich
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Nils Petri
- Medizinische Klinik und Poliklinik I, University Hospital of Würzburg, Würzburg, Germany
| | - Bernhard Petritsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Thorsten A Bley
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Herbert Köstler
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
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Cardiac magnetic resonance imaging of arrhythmogenic cardiomyopathy: evolving diagnostic perspectives. Eur Radiol 2022; 33:270-282. [PMID: 35788758 DOI: 10.1007/s00330-022-08958-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 05/30/2022] [Accepted: 06/08/2022] [Indexed: 01/09/2023]
Abstract
Arrhythmogenic cardiomyopathy (ACM) is a genetically determined heart muscle disease characterized by fibro-fatty myocardial replacement, clinically associated with malignant ventricular arrhythmias and sudden cardiac death. Originally described a disease with a prevalent right ventricular (RV) involvement, subsequently two other phenotypes have been recognized, such as the left dominant and the biventricular phenotypes, for which a recent International Expert consensus document provided upgrade diagnostic criteria (the 2020 "Padua Criteria"). In this novel workup for the diagnosis of the entire spectrum of phenotypic variants of ACM, including left ventricular (LV) variants, cardiac magnetic resonance (CMR) has emerged as the cardiac imaging technique of choice, due to its capability of detailed morpho-functional and tissue characterization evaluation of both RV and LV. In this review, the key role of CMR in the diagnosis of ACM is outlined, including the supplemental value for the characterization of the disease variants. An ACM-specific CMR study protocol, as well as strengths and weaknesses of each imaging technique, is also provided. KEY POINTS: • Arrhythmogenic cardiomyopathy includes three different phenotypes: dominant right, biventricular, and dominant left. • In 2020, diagnostic criteria have been updated and cardiac magnetic resonance has emerged as the cardiac imaging technique of choice. • This aim of this review is to provide an update of the current state of art regarding the use of CMR in ACM, with a particular focus on novel diagnostic criteria, CMR protocols, and prognostic significance of CMR findings in ACM.
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Suinesiaputra A, Mauger CA, Ambale-Venkatesh B, Bluemke DA, Dam Gade J, Gilbert K, Janse MHA, Hald LS, Werkhoven C, Wu CO, Lima JAC, Young AA. Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis. Front Cardiovasc Med 2022; 8:807728. [PMID: 35127868 PMCID: PMC8813768 DOI: 10.3389/fcvm.2021.807728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/24/2021] [Indexed: 12/23/2022] Open
Abstract
The Multi-Ethnic Study of Atherosclerosis (MESA), begun in 2000, was the first large cohort study to incorporate cardiovascular magnetic resonance (CMR) to study the mechanisms of cardiovascular disease in over 5,000 initially asymptomatic participants, and there is now a wealth of follow-up data over 20 years. However, the imaging technology used to generate the CMR images is no longer in routine use, and methods trained on modern data fail when applied to such legacy datasets. This study aimed to develop a fully automated CMR analysis pipeline that leverages the ability of machine learning algorithms to enable extraction of additional information from such a large-scale legacy dataset, expanding on the original manual analyses. We combined the original study analyses with new annotations to develop a set of automated methods for customizing 3D left ventricular (LV) shape models to each CMR exam and build a statistical shape atlas. We trained VGGNet convolutional neural networks using a transfer learning sequence between two-chamber, four-chamber, and short-axis MRI views to detect landmarks. A U-Net architecture was used to detect the endocardial and epicardial boundaries in short-axis images. The landmark detection network accurately predicted mitral valve and right ventricular insertion points with average error distance <2.5 mm. The agreement of the network with two observers was excellent (intraclass correlation coefficient >0.9). The segmentation network produced average Dice score of 0.9 for both myocardium and LV cavity. Differences between the manual and automated analyses were small, i.e., <1.0 ± 2.6 mL/m2 for indexed LV volume, 3.0 ± 6.4 g/m2 for indexed LV mass, and 0.6 ± 3.3% for ejection fraction. In an independent atlas validation dataset, the LV atlas built from the fully automated pipeline showed similar statistical relationships to an atlas built from the manual analysis. Hence, the proposed pipeline is not only a promising framework to automatically assess additional measures of ventricular function, but also to study relationships between cardiac morphologies and future cardiac events, in a large-scale population study.
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Affiliation(s)
- Avan Suinesiaputra
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Charlène A. Mauger
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | | | - David A. Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Josefine Dam Gade
- Department of Biomedical Engineering and Informatics, School of Medicine and Health, Aalborg University, Aalborg, Denmark
| | - Kathleen Gilbert
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Markus H. A. Janse
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Line Sofie Hald
- Department of Biomedical Engineering and Informatics, School of Medicine and Health, Aalborg University, Aalborg, Denmark
| | - Conrad Werkhoven
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Colin O. Wu
- Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Baltimore, MD, United States
| | | | - Alistair A. Young
- Faculty of Life Sciences & Medicine, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
- *Correspondence: Alistair A. Young
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Holtackers RJ, Wildberger JE, Wintersperger BJ, Chiribiri A. Impact of Field Strength in Clinical Cardiac Magnetic Resonance Imaging. Invest Radiol 2021; 56:764-772. [PMID: 34261084 DOI: 10.1097/rli.0000000000000809] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
ABSTRACT Cardiac magnetic resonance imaging (MRI) is widely applied for the noninvasive assessment of cardiac structure and function, and for tissue characterization. For more than 2 decades, 1.5 T has been considered the field strength of choice for cardiac MRI. Although the number of 3-T systems significantly increased in the past 10 years and numerous new developments were made, challenges seem to remain that hamper a widespread clinical use of 3-T MR systems for cardiac applications. As the number of clinical cardiac applications is increasing, with each having their own benefits at both field strengths, no "holy grail" field strength exists for cardiac MRI that one should ideally use. This review describes the physical differences between 1.5 and 3 T, as well as the effect of these differences on major (routine) cardiac MRI applications, including functional imaging, edema imaging, late gadolinium enhancement, first-pass stress perfusion, myocardial mapping, and phase contrast flow imaging. For each application, the advantages and limitations at both 1.5 and 3 T are discussed. Solutions and alternatives are provided to overcome potential limitations. Finally, we briefly elaborate on the potential use of alternative field strengths (ie, below 1.5 T and above 3 T) for cardiac MRI and conclude with field strength recommendations for the future of cardiac MRI.
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Petersen SE, Khanji MY, Plein S, Lancellotti P, Bucciarelli-Ducci C. European Association of Cardiovascular Imaging expert consensus paper: a comprehensive review of cardiovascular magnetic resonance normal values of cardiac chamber size and aortic root in adults and recommendations for grading severity. Eur Heart J Cardiovasc Imaging 2021; 20:1321-1331. [PMID: 31544926 DOI: 10.1093/ehjci/jez232] [Citation(s) in RCA: 125] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 09/02/2019] [Indexed: 01/16/2023] Open
Abstract
This consensus paper provides a framework for grading of severity of cardiovascular magnetic resonance (CMR) imaging-based assessment of chamber size, function, and aortic measurements. This does not currently exist for CMR measures. Differences exist in the normal reference values between echocardiography and CMR along with differences in methods used to derive these. We feel that this document will significantly complement the current literature and provide a practical guide for clinicians in daily reporting and interpretation of CMR scans. This manuscript aims to complement a recent comprehensive review of CMR normal value publications to recommend cut-off values required for severity grading. Standardization of severity grading for clinically useful CMR parameters is encouraged to lead to clearer and easier communication with referring clinicians and may contribute to better patient care. To this end, the European Association of Cardiovascular Imaging (EACVI) has formed this expert panel that has critically reviewed the literature and has come to a consensus on approaches to severity grading for commonly quantified CMR parameters.
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Affiliation(s)
- Steffen E Petersen
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's, Barts Health NHS Trust, London, EC1A 7BE, UK
| | - Mohammed Y Khanji
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's, Barts Health NHS Trust, London, EC1A 7BE, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT
| | - Patrizio Lancellotti
- Department of Cardiology, University of Liège Hospital, GIGA Cardiovascular Sciences, Heart Valve Clinic, CHU du Sart Tilman, Domaine Universitaire du Sart Tilman, Batiment B35, 4000 Liège, Belgium.,Gruppo Villa Maria Care and Research, Anthea Hospital, Via Camillo Rosalba, 35, 70124 Bari BA, Italy
| | - Chiara Bucciarelli-Ducci
- Bristol Heart Institute, Bristol National Institute of Health Research (NIHR) Biomedical Research Centre, University Hospitals Bristol NHS Trust and University of Bristol, Upper Maudlin Street, Bristol, BS2 8HW, UK
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20
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Rahsepar AA, Bluemke DA, Habibi M, Liu K, Kawel‐Boehm N, Ambale‐Venkatesh B, Fernandes VRS, Rosen BD, Lima JAC, Carr JC. Association of Pro-B-Type Natriuretic Peptide With Cardiac Magnetic Resonance-Measured Global and Regional Cardiac Function and Structure Over 10 Years: The MESA Study. J Am Heart Assoc 2021; 10:e019243. [PMID: 33821688 PMCID: PMC8174164 DOI: 10.1161/jaha.120.019243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 02/09/2021] [Indexed: 12/15/2022]
Abstract
Background NT-proBNP (N-terminal pro-B-type natriuretic peptide) is widely used to diagnose and manage patients with heart failure. We aimed to investigate associations between NT-proBNP levels and development of global and regional myocardial impairment, dyssynchrony, and risk of developing myocardial scar over time. Methods and Results We included 2416 adults (45-84 years) without baseline clinical cardiovascular disease from MESA (Multi-Ethnic Study of Atherosclerosis). NT-proBNP was assessed at baseline (2000-2002). Cardiac magnetic resonance-measured left ventricular parameters were assessed at baseline and year 10 (2010-2012). Tagged cardiac magnetic resonance and myocardial dyssynchrony were assessed. We used linear and logistic regression models to study the relationships between quartiles of NT-proBNP levels and outcome variables. Left ventricular parameters decreased over time. After 10-year follow-up and adjusting for cardiovascular disease risk factors, people in the highest quartile had significantly greater decline in left ventricular ejection fraction (-1.60%; 95% CI, -2.26 to -0.94; P<0.01) and smaller decline in left ventricular end systolic volume index (-0.47 mL/m2; 95% CI, -1.18 to 0.23; P<0.01) compared with those in the lowest quartile. Individuals in the highest quartile had more severe risk factor adjusted global, mid, and apical regional dyssynchrony compared with those in the lowest, second, and third quartiles (all P-trend<0.05). Compared with the lowest-quartile group, the adjusted odds ratios for having myocardial scar was 1.3 (95% CI, 0.7-2.2) for quartile 2; 1.2 (95% CI, 0.6-2.3) for quartile 3; and 2.7 (95% CI, 1.4-5.5) for quartile 4 (P-trend=0.012) for the total sample. Conclusions Among participants without baseline clinical cardiovascular disease, higher baseline NT-proBNP concentration was significantly associated with subclinical changes in developing myocardial dysfunction, more severe cardiac dyssynchrony, and higher odds of having myocardial scar over a 10-year period independent of traditional cardiovascular disease risk factors.
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Affiliation(s)
- Amir Ali Rahsepar
- Department of RadiologyFeinberg School of MedicineNorthwestern UniversityChicagoIL
- Department of RadiologyYale New‐Haven HealthBridgeport HospitalBridgeportCT
| | - David A. Bluemke
- Department of RadiologyUniversity of Wisconsin, School of Medicine and Public HealthMadisonWI
| | | | - Kiang Liu
- Department of Preventive MedicineFeinberg School of MedicineNorthwestern UniversityChicagoIL
| | - Nadine Kawel‐Boehm
- Department of RadiologyKantonsspital GraubuendenChurSwitzerland
- Institute for DiagnosticInterventional and Pediatric Radiology (DIPR)InselspitalBern University HospitalUniversity of BernSwitzerland
| | | | | | - Boaz D. Rosen
- Department of CardiologyJohns Hopkins UniversityBaltimoreMD
| | | | - James C. Carr
- Department of RadiologyFeinberg School of MedicineNorthwestern UniversityChicagoIL
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21
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Cine MRI characterizes HFpEF and HFrEF in post-capillary pulmonary hypertension. Eur J Radiol 2021; 139:109679. [PMID: 33819807 DOI: 10.1016/j.ejrad.2021.109679] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/20/2021] [Accepted: 03/23/2021] [Indexed: 11/21/2022]
Abstract
PURPOSE To test the hypothesis that cine MRI can be used to characterize features of left and right ventricles in post-capillary pulmonary hypertension (PH) caused by heart failure (HF) with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF). METHODS With the approval of institution review board (IRB), 28 consecutive post-capillary PH patients (11 males, 62.1 ± 13.4 years old, range 39-89 years old) underwent cine MRI scans. Cine MRI-derived left ventricular (LV) ejection fraction (LVEF) and other function, motion, and deformation indices (acquired with heart deformation analysis [HDA]) were compared between PH-HFpEF (defined as LVEF ≥ 50 %]) and PH-HFrEF (LVEF < 50 %) patients and were related with right ventricular (RV) indices and right heart catheterization (RHC)-derived pulmonary artery measurements. RESULTS Totally 19 patients (68 %, 95 % confident interval [CI] 49 %-86 %) were assigned to PH-HFpEF group while 9 (32 %) was assigned to the PH-HFrEF group. There were differences of LV and right ventricular (RV) global functional indices, LV mass, LV displacement, velocity, strain and strain rate between the two patient groups. Cine MRI-derived LV indices had broad associations with RV indices and RHC measurements. LVEF was negatively correlated with pulmonary capillary wedge pressure (PCWP) (r = -0.5, p = 0.007). LV cardiac index (LVCI) was associated with systolic pulmonary artery pressure (sPAP) (r = 0.443, p = 0.018). CONCLUSIONS PH-HFpEF and PH-HFrEF patients present dissimilar function, motion and deformation features in LV and RV. Cine MRI-derived LV measures are correlated with hemodynamic abnormalities of PH.
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22
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Khanji MY, Chahal AA, Lopes LR, Petersen SE. Cardiovascular magnetic resonance imaging volume criteria for arrhythmogenic right ventricular cardiomyopathy: need for update? Eur Heart J 2021; 41:1451. [PMID: 32031606 DOI: 10.1093/eurheartj/ehz965] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Mohammed Y Khanji
- Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, NIHR Barts Biomedical Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK.,Department of Cardiology, Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Anwar A Chahal
- Department of Cardiology, Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Department of Cardiovascular Diseases, Mayo Clinic, Rochester, NY, MN 55902 USA
| | - Luis R Lopes
- Department of Cardiology, Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Centre for Heart Muscle Disease, Institute of Cardiovascular Science, University College London, Huntley Street, London WC1E 6BT, UK
| | - Steffen E Petersen
- Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, NIHR Barts Biomedical Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK.,Department of Cardiology, Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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23
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Demirel OB, Weingärtner S, Moeller S, Akçakaya M. Improved simultaneous multislice cardiac MRI using readout concatenated k-space SPIRiT (ROCK-SPIRiT). Magn Reson Med 2021; 85:3036-3048. [PMID: 33566378 DOI: 10.1002/mrm.28680] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 01/31/2023]
Abstract
PURPOSE To develop and evaluate a simultaneous multislice (SMS) reconstruction technique that provides noise reduction and leakage blocking for highly accelerated cardiac MRI. METHODS ReadOut Concatenated k-space SPIRiT (ROCK-SPIRiT) uses the concept of readout concatenation in image domain to represent SMS encoding, and performs coil self-consistency as in SPIRiT-type reconstruction in an extended k-space, while allowing regularization for further denoising. The proposed method is implemented with and without regularization, and validated on retrospectively SMS-accelerated cine imaging with three-fold SMS and two-fold in-plane acceleration. ROCK-SPIRiT is compared with two leakage-blocking SMS reconstruction methods: readout-SENSE-GRAPPA and split slice-GRAPPA. Further evaluation and comparisons are performed using prospectively SMS-accelerated cine imaging. RESULTS Results on retrospectively three-fold SMS and two-fold in-plane accelerated cine imaging show that ROCK-SPIRiT without regularization significantly improves on existing methods in terms of PSNR (readout-SENSE-GRAPPA: 33.5 ± 3.2, split slice-GRAPPA: 34.1 ± 3.8, ROCK-SPIRiT: 35.0 ± 3.3) and SSIM (readout-SENSE-GRAPPA: 84.4 ± 8.9, split slice-GRAPPA: 85.0 ± 8.9, ROCK-SPIRiT: 88.2 ± 6.6 [in percentage]). Regularized ROCK-SPIRiT significantly outperforms all methods, as characterized by these quantitative metrics (PSNR: 37.6 ± 3.8, SSIM: 94.2 ± 4.1 [in percentage]). The prospectively five-fold SMS and two-fold in-plane accelerated data show that ROCK-SPIRiT and regularized ROCK-SPIRiT have visually improved image quality compared with existing methods. CONCLUSION The proposed ROCK-SPIRiT technique reduces noise and interslice leakage in accelerated SMS cardiac cine MRI, improving on existing methods both quantitatively and qualitatively.
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Affiliation(s)
- Omer Burak Demirel
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.,Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sebastian Weingärtner
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.,Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.,Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands
| | - Steen Moeller
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Mehmet Akçakaya
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.,Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
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24
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Krupickova S, Risch J, Gati S, Caliebe A, Sarikouch S, Beerbaum P, Puricelli F, Daubeney PEF, Barth C, Wage R, Boroni Grazioli S, Uebing A, Pennell DJ, Voges I. Cardiovascular magnetic resonance normal values in children for biventricular wall thickness and mass. J Cardiovasc Magn Reson 2021; 23:1. [PMID: 33390185 PMCID: PMC7780624 DOI: 10.1186/s12968-020-00692-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 12/09/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Pediatric patients are becoming increasingly referred for cardiovascular magnetic resonance (CMR). Measurement of ventricular wall thickness is typically part of the assessment and can be of diagnostic importance, e.g. in arterial hypertension. However, normal values for left ventricular (LV) and right ventricular (RV) wall thickness in pediatric patients are lacking. The aim of this study was to establish pediatric centile charts for segmental LV and RV myocardial thickness in a retrospective multicenter CMR study. METHODS CMR was performed in 161 healthy children and adolescents with an age range between 6 and 18 years from two centers in the UK and Germany as well as from a previously published CMR project of the German Competence Network for Congenital Heart Defects. LV myocardial thickness of 16 segments was measured on the short axis stack using the American Heart Association segmentation model. In addition, the thickness of the RV inferior and anterior free wall as well as biventricular mass was measured. RESULTS The mean age (standard deviation) of the subjects was 13.6 (2.9) years, 64 (39.7%) were female. Myocardial thickness of the basal septum (basal antero- and inferoseptal wall) was 5.2 (1.1) mm, and the basal lateral wall (basal antero- and inferolateral) measured 5.1 (1.2) mm. Mid-ventricular septum (antero- and inferoseptal wall) measured 5.5 (1.2) mm, and mid-ventricular lateral wall (antero- and inferolateral wall) was 4.7 (1.2) mm. Separate centile charts for boys and girls for all myocardial segments and myocardial mass were created because gender was significantly correlated with LV myocardial thickness (p < 0.001 at basal level, p = 0.001 at midventricular level and p = 0.005 at the apex) and biventricular mass (LV, p < 0.001; RV, p < 0.001). CONCLUSION We established CMR normal values of segmental myocardial thickness and biventricular mass in children and adolescents. Our data are of use for the detection of abnormal myocardial properties and can serve as a reference in future studies and clinical practice.
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Affiliation(s)
- Sylvia Krupickova
- CMR Unit, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Julian Risch
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany
| | - Sabiha Gati
- CMR Unit, Royal Brompton Hospital, London, UK
| | - Amke Caliebe
- Department of Medical Informatics and Statistics, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
- Medical Faculty, Kiel University, Kiel, Germany
| | - Samir Sarikouch
- Department of Heart, Thoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Philipp Beerbaum
- Department of Pediatric Cardiology and Pediatric Intensive Care Medicine At the Hannover Medical School, Hannover, Germany
| | | | - Piers E F Daubeney
- CMR Unit, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | | | - Rick Wage
- CMR Unit, Royal Brompton Hospital, London, UK
| | - Simona Boroni Grazioli
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany
| | - Anselm Uebing
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany
| | - Dudley J Pennell
- CMR Unit, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Inga Voges
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
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25
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Kawel-Boehm N, Hetzel SJ, Ambale-Venkatesh B, Captur G, Francois CJ, Jerosch-Herold M, Salerno M, Teague SD, Valsangiacomo-Buechel E, van der Geest RJ, Bluemke DA. Reference ranges ("normal values") for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update. J Cardiovasc Magn Reson 2020; 22:87. [PMID: 33308262 PMCID: PMC7734766 DOI: 10.1186/s12968-020-00683-3] [Citation(s) in RCA: 338] [Impact Index Per Article: 67.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 10/26/2020] [Indexed: 01/06/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) enables assessment and quantification of morphological and functional parameters of the heart, including chamber size and function, diameters of the aorta and pulmonary arteries, flow and myocardial relaxation times. Knowledge of reference ranges ("normal values") for quantitative CMR is crucial to interpretation of results and to distinguish normal from disease. Compared to the previous version of this review published in 2015, we present updated and expanded reference values for morphological and functional CMR parameters of the cardiovascular system based on the peer-reviewed literature and current CMR techniques. Further, databases and references for deep learning methods are included.
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Affiliation(s)
- Nadine Kawel-Boehm
- Department of Radiology, Kantonsspital Graubuenden, Loestrasse 170, 7000, Chur, Switzerland
- Institute for Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, InselspitalBern, Switzerland
| | - Scott J Hetzel
- Department of Biostatistics and Medical Informatics, University of Wisconsin, 610 Walnut St, Madison, WI, 53726, USA
| | - Bharath Ambale-Venkatesh
- Department of Radiology, Johns Hopkins University, 600 N Wolfe Street, Baltimore, MD, 21287, USA
| | - Gabriella Captur
- MRC Unit of Lifelong Health and Ageing At UCL, 5-19 Torrington Place, Fitzrovia, London, WC1E 7HB, UK
- Inherited Heart Muscle Conditions Clinic, Royal Free Hospital NHS Foundation Trust, Hampstead, London, NW3 2QG, UK
| | - Christopher J Francois
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, USA
| | - Michael Jerosch-Herold
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Michael Salerno
- Cardiovascular Division, University of Virginia Health System, 1215 Lee Street, Charlottesville, VA, 22908, USA
| | - Shawn D Teague
- Department of Radiology, National Jewish Health, 1400 Jackson St, Denver, CO, 80206, USA
| | - Emanuela Valsangiacomo-Buechel
- Division of Paediatric Cardiology, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, USA.
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Lin K, Ma H, Sarnari R, Li D, Lloyd-Jones DM, Markl M, Carr JC. Cardiac MRI Reveals Late Diastolic Changes in Left Ventricular Relaxation Patterns During Healthy Aging. J Magn Reson Imaging 2020; 53:766-774. [PMID: 33006438 DOI: 10.1002/jmri.27382] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 09/14/2020] [Accepted: 09/18/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Cardiac MRI is an emerging modality for evaluating left ventricular (LV) diastolic dysfunction (LVDD), a pathological condition that is prevalent in aging populations. However, there is a lack of reports of MRI-derived LV diastolic properties in late diastole. PURPOSE To test the hypothesis that cine MRI-derived motion/deformation indices can be used to characterize age-related changes on LV relaxation patterns in late diastole. STUDY TYPE Retrospective. POPULATION In all, 412 participants (72.5 ± 4.6 years old, range 65-84) without a documented history of cardiovascular diseases. FIELD STRENGTH/SEQUENCE Balanced steady-state free precession(bSSFP) acquired at 1.5T. ASSESSMENT Participants were divided into younger (65-74 years old, n = 275) and older (75-84 years old, n = 137) groups. Status of diabetes mellitus (DM), hypertension (HTN), and lipid disorders were recorded for each participant. Cine MRI datasets were analyzed by using heart deformation analysis (HDA). LV motion/deformation indices (displacement, velocity, strain, and strain rate) were measured through 22 phases within a cardiac cycle. STATISTICAL TESTS The prevalence of traditional cardiovascular risk conditions, LV ejection fraction (LVEF), peak LV regional displacement, velocity, and strain rates at early and late diastole were compared between two participant groups using chi-square tests or t-tests. RESULTS Older participants had a significantly lower peak early radial displacement (0.797 ± 0.249 cm vs. 0.876 ± 0.286 cm), radial velocity (19.3 ± 6.3 mm/s vs. 17.5 ± 5.2 mm/s), and circumferential strain rate (64.6 ± 15.7%/s vs. 70.1 ± 17%/s) but a higher peak late circumferential strain rate (69.8 ± 16.3 %/s vs. 66 ± 15.8 %/s) than their younger counterparts. DATA CONCLUSION Cine MRI can be used to characterize age-related LV relaxation patterns in late diastole. LEVEL OF EVIDENCE 3. TECHNICAL EFFICACY STAGE 1.
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Affiliation(s)
- Kai Lin
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - Heng Ma
- Department of Radiology, Yuhuangding Hospital, Yantai, China
| | - Roberto Sarnari
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical center, Los Angeles, California, USA
| | - Donald M Lloyd-Jones
- Department of preventive medicine, Northwestern University, Chicago, Illinois, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
| | - James C Carr
- Department of Radiology, Northwestern University, Chicago, Illinois, USA
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27
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Massera D, McClelland RL, Ambale-Venkatesh B, Gomes AS, Hundley WG, Kawel-Boehm N, Yoneyama K, Owens DS, Garcia MJ, Sherrid MV, Kizer JR, Lima JAC, Bluemke DA. Prevalence of Unexplained Left Ventricular Hypertrophy by Cardiac Magnetic Resonance Imaging in MESA. J Am Heart Assoc 2020; 8:e012250. [PMID: 30957681 PMCID: PMC6507185 DOI: 10.1161/jaha.119.012250] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Hypertrophic cardiomyopathy is defined as unexplained left ventricular (LV) hypertrophy (wall thickness ≥15 mm) and is prevalent in 0.2% of adults (1:500) in population‐based studies using echocardiography. Cardiac magnetic resonance imaging (MRI) allows for more accurate wall thickness measurement across the entire ventricle than echocardiography. The prevalence of unexplained LV hypertrophy by cardiac MRI is unknown. MESA (Multi‐Ethnic Study of Atherosclerosis) recruited individuals without overt cardiovascular disease 45 to 84 years of age. Methods and Results We studied 4972 individuals who underwent measurement of regional LV wall thickness by cardiac MRI as part of the MESA baseline exam. American Heart Association criteria were used to define LV segments. We excluded participants with hypertension, LV dilation (≥95% predicted end‐diastolic volume) or dysfunction (ejection fraction ≤50%), moderate‐to‐severe left‐sided valve lesions by cardiac MRI, severe aortic valve calcification by cardiac computed tomography (aortic valve Agatston calcium score >1200 in women or >2000 in men), obesity (body mass index >35 kg/m2), diabetes mellitus, and current smoking. Sixty‐seven participants (aged 64±10 years, 9% female) had unexplained LV hypertrophy (wall thickness ≥15 mm in at least 2 adjacent LV segments), representing 1.4% (1 in 74) participants, 2.6% of men and 0.2% of women. Prevalence was similar across categories of race/ethnicity. Hypertrophy was focal in 17 (25.4%), intermediate in 44 (65.7%), and diffuse in 5 (7.5%) participants. Conclusions The prevalence of unexplained LV hypertrophy in a population‐based cohort using cardiac MRI was 1.4%. This may have implications for the diagnosis of patients with hypertrophic cardiomyopathy and will require further study.
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Affiliation(s)
| | | | | | | | | | | | - Kihei Yoneyama
- 7 St. Marianna University School of Medicine Kawasaki Japan
| | | | | | | | - Jorge R Kizer
- 9 San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA
| | | | - David A Bluemke
- 10 University of Wisconsin School of Medicine and Public Health Madison WI
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28
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The Role of Cardiac Magnetic Resonance Imaging to Detect Cardiac Toxicity From Cancer Therapeutics. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2019; 21:28. [PMID: 31104180 DOI: 10.1007/s11936-019-0732-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The emerging complexity of cardiac toxicity caused by cancer therapies has created demand for more advanced non-invasive methods to better evaluate cardiac structure, function, and myocardial tissue characteristics. Cardiac magnetic resonance imaging meets these needs without exposure to ionizing radiation, and with superior spatial resolution. RECENT FINDINGS Special applications of cardiac magnetic resonance (CMR) to assess for cancer therapy-induced cardiac toxicity include the detection of subclinical LV dysfunction through novel methods of measuring myocardial strain, detection of microcirculatory dysfunction, identification of LV and LA fibrosis, and more sensitive detection of inflammation caused by immune checkpoint inhibitors. CMR plays a significant role in the non-invasive workup of cardiac toxicity from cancer therapies, with recent advancements in the field that have opened avenues for further research and development.
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Zhou R, Yang Y, Mathew RC, Mugler JP, Weller DS, Kramer CM, Ahmed AH, Jacob M, Salerno M. Free-breathing cine imaging with motion-corrected reconstruction at 3T using SPiral Acquisition with Respiratory correction and Cardiac Self-gating (SPARCS). Magn Reson Med 2019; 82:706-720. [PMID: 31006916 DOI: 10.1002/mrm.27763] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 03/12/2019] [Accepted: 03/15/2019] [Indexed: 12/28/2022]
Abstract
PURPOSE To develop a continuous-acquisition cardiac self-gated spiral pulse sequence and a respiratory motion-compensated reconstruction strategy for free-breathing cine imaging. METHODS Cine data were acquired continuously on a 3T scanner for 8 seconds per slice without ECG gating or breath-holding, using a golden-angle gradient echo spiral pulse sequence. Cardiac motion information was extracted by applying principal component analysis on the gridded 8 × 8 k-space center data. Respiratory motion was corrected by rigid registration on each heartbeat. Images were reconstructed using a low-rank and sparse (L+S) technique. This strategy was evaluated in 37 healthy subjects and 8 subjects undergoing clinical cardiac MR studies. Image quality was scored (1-5 scale) in a blinded fashion by 2 experienced cardiologists. In 13 subjects with whole-heart coverage, left ventricular ejection fraction (LVEF) from SPiral Acquisition with Respiratory correction and Cardiac Self-gating (SPARCS) was compared to that from a standard ECG-gated breath-hold balanced steady-state free precession (bSSFP) cine sequence. RESULTS The self-gated signal was successfully extracted in all cases and demonstrated close agreement with the acquired ECG signal (mean bias, -0.22 ms). The mean image score across all subjects was 4.0 for reconstruction using the L+S model. There was good agreement between the LVEF derived from SPARCS and the gold-standard bSSFP technique. CONCLUSION SPARCS successfully images cardiac function without the need for ECG gating or breath-holding. With an 8-second data acquisition per slice, whole-heart cine images with clinically acceptable spatial and temporal resolution and image quality can be acquired in <90 seconds of free-breathing acquisition.
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Affiliation(s)
- Ruixi Zhou
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia
| | - Yang Yang
- Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.,Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Roshin C Mathew
- Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.,Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
| | - John P Mugler
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia.,Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.,Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
| | - Daniel S Weller
- Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia
| | - Christopher M Kramer
- Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.,Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
| | - Abdul Haseeb Ahmed
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa
| | - Mathews Jacob
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa
| | - Michael Salerno
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia.,Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.,Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
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Takeshima H, Saitoh K, Nitta S, Shiodera T, Takeguchi T, Bannae S, Kuhara S. Estimation of Spatiotemporal Sensitivity Using Band-limited Signals with No Additional Acquisitions for k-t Parallel Imaging. Magn Reson Med Sci 2019. [PMID: 29540620 PMCID: PMC6326766 DOI: 10.2463/mrms.mp.2017-0132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Purpose: Dynamic MR techniques, such as cardiac cine imaging, benefit from shorter acquisition times. The goal of the present study was to develop a method that achieves short acquisition times, while maintaining a cost-effective reconstruction, for dynamic MRI. k – t sensitivity encoding (SENSE) was identified as the base method to be enhanced meeting these two requirements. Methods: The proposed method achieves a reduction in acquisition time by estimating the spatiotemporal (x – f) sensitivity without requiring the acquisition of the alias-free signals, typical of the k – t SENSE technique. The cost-effective reconstruction, in turn, is achieved by a computationally efficient estimation of the x – f sensitivity from the band-limited signals of the aliased inputs. Such band-limited signals are suitable for sensitivity estimation because the strongly aliased signals have been removed. Results: For the same reduction factor 4, the net reduction factor 4 for the proposed method was significantly higher than the factor 2.29 achieved by k – t SENSE. The processing time is reduced from 4.1 s for k – t SENSE to 1.7 s for the proposed method. The image quality obtained using the proposed method proved to be superior (mean squared error [MSE] ± standard deviation [SD] = 6.85 ± 2.73) compared to the k – t SENSE case (MSE ± SD = 12.73 ± 3.60) for the vertical long-axis (VLA) view, as well as other views. Conclusion: In the present study, k – t SENSE was identified as a suitable base method to be improved achieving both short acquisition times and a cost-effective reconstruction. To enhance these characteristics of base method, a novel implementation is proposed, estimating the x – f sensitivity without the need for an explicit scan of the reference signals. Experimental results showed that the acquisition, computational times and image quality for the proposed method were improved compared to the standard k – t SENSE method.
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Affiliation(s)
- Hidenori Takeshima
- Clinical Application Research Department, Research and Development Center, Canon Medical Systems Corporation.,Analytics AI Laboratory, Corporate Research & Development Center, Toshiba Corporation
| | - Kanako Saitoh
- Analytics AI Laboratory, Corporate Research & Development Center, Toshiba Corporation
| | - Shuhei Nitta
- Analytics AI Laboratory, Corporate Research & Development Center, Toshiba Corporation
| | - Taichiro Shiodera
- Analytics AI Laboratory, Corporate Research & Development Center, Toshiba Corporation
| | - Tomoyuki Takeguchi
- Analytics AI Laboratory, Corporate Research & Development Center, Toshiba Corporation
| | - Shuhei Bannae
- Healthcare ICT Clinical Application Development Department, Healthcare ICT Development Center, Healthcare ICT Division, Canon Medical Systems Corporation
| | - Shigehide Kuhara
- Application Research Group, Clinical Application Research and Development Department, Center for Medical Research and Development, Toshiba Medical.,Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University
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Abstract
PURPOSE OF REVIEW This article will review the current techniques in cardiac magnetic resonance imaging (CMR) for diagnosing and assessing primary valvular heart disease. RECENT FINDINGS The recent advancements in CMR have led to an increased role of this modality for qualifying and quantifying various native valve diseases. Phase-contrast velocity encoded imaging is a well-established technique that can be used to quantify aortic and pulmonic flow. This technique, combined with the improved ability for CMR to obtain accurate left and right ventricular volumetrics, has allowed for increased accuracy and reproducibility in assessing valvular dysfunction. Advancements in CMR technology also allows for improved spatial and temporal resolution imaging of various valves and their regurgitant or stenotic jets. Therefore, CMR can be a powerful tool in evaluation of native valvular heart disease. The role of CMR in assessing valvular heart disease is growing and being recognized in recent guidelines. CMR has the ability to assess valve morphology along with qualifying and quantifying valvular disease. In addition, the ability to obtain accurate volumetric measurements may improve more precise management strategies and may lead to improvements in mortality and morbidity.
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Dellegrottaglie S, Ostenfeld E, Sanz J, Scatteia A, Perrone-Filardi P, Bossone E. Imaging the Right Heart-Pulmonary Circulation Unit. Heart Fail Clin 2018; 14:377-391. [DOI: 10.1016/j.hfc.2018.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Kar J, Zhong X, Cohen MV, Cornejo DA, Yates-Judice A, Rel E, Figarola MS. Introduction to a mechanism for automated myocardium boundary detection with displacement encoding with stimulated echoes (DENSE). Br J Radiol 2018; 91:20170841. [PMID: 29565646 PMCID: PMC6221787 DOI: 10.1259/bjr.20170841] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Objective: Displacement ENcoding with Stimulated Echoes (DENSE) is an MRI technique developed to encode phase related to myocardial tissue displacements, and the displacement information directly applied towards detecting left-ventricular (LV) myocardial motion during the cardiac cycle. The purpose of this study is to present a novel, three-dimensional (3D) DENSE displacement-based and magnitude image quantization-based, semi-automated detection technique for myocardial wall motion, whose boundaries are used for rapid and automated computation of 3D myocardial strain. Methods: The architecture of this boundary detection algorithm is primarily based on pixelwise spatiotemporal increments in LV tissue displacements during the cardiac cycle and further reinforced by radially searching for pixel-based image gradients in multithreshold quantized magnitude images. This spatiotemporal edge detection methodology was applied to all LV partitions and their subsequent timeframes that lead to full 3D LV reconstructions. It was followed by quantifications of 3D chamber dimensions and myocardial strains, whose rapid computation was the primary motivation behind developing this algorithm. A pre-existing two-dimensional (2D) semi-automated contouring technique was used in parallel to validate the accuracy of the algorithm and both methods tested on DENSE data acquired in (N = 14) healthy subjects. Chamber quantifications between methods were compared using paired t-tests and Bland–Altman analysis established regional strain agreements. Results: There were no significant differences in the results of chamber quantifications between the 3D semi-automated and existing 2D boundary detection techniques. This included comparisons of ejection fractions, which were 0.62 ± 0.04 vs 0.60 ± 0.06 (p = 0.23) for apical, 0.60 ± 0.04 vs 0.59 ± 0.05 (p = 0.76) for midventricular and 0.56 ± 0.04 vs 0.58 ± 0.05 (p = 0.07) for basal segments, that were quantified using the 3D semi-automated and 2D pre-existing methodologies, respectively. Bland–Altman agreement between regional strains generated biases of 0.01 ± 0.06, –0.01 ± 0.01 and 0.0 ± 0.06 for the radial, circumferential and longitudinal directions, respectively. Conclusion: A new, 3D semi-automated methodology for contouring the entire LV and rapidly generating chamber quantifications and regional strains is presented that was validated in relation to an existing 2D contouring technique. Advances in knowledge: This study introduced a scientific tool for rapid, semi-automated generation of clinical information regarding shape and function in the 3D LV.
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Affiliation(s)
- Julia Kar
- 1 Departments of Mechanical Engineering and Pharmacology, University of South Alabama , Mobile, AL , USA
| | - Xiaodong Zhong
- 2 MR R&D Collaborations, Siemens Healthcare Inc. , Atlanta, GA , USA
| | - Michael V Cohen
- 3 Department of Physiology, College of Medicine, University of South Alabama , Mobile, Al , USA
| | - Daniel Auger Cornejo
- 4 Department of Biomedical Engineering, University of Virginia , Charlottesville, VA , USA
| | - Angela Yates-Judice
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
| | - Eduardo Rel
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
| | - Maria S Figarola
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
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Zheng P, Li J, Kros JM. Breakthroughs in modern cancer therapy and elusive cardiotoxicity: Critical research-practice gaps, challenges, and insights. Med Res Rev 2018; 38:325-376. [PMID: 28862319 PMCID: PMC5763363 DOI: 10.1002/med.21463] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 07/14/2017] [Accepted: 07/15/2017] [Indexed: 12/16/2022]
Abstract
To date, five cancer treatment modalities have been defined. The three traditional modalities of cancer treatment are surgery, radiotherapy, and conventional chemotherapy, and the two modern modalities include molecularly targeted therapy (the fourth modality) and immunotherapy (the fifth modality). The cardiotoxicity associated with conventional chemotherapy and radiotherapy is well known. Similar adverse cardiac events are resurging with the fourth modality. Aside from the conventional and newer targeted agents, even the most newly developed, immune-based therapeutic modalities of anticancer treatment (the fifth modality), e.g., immune checkpoint inhibitors and chimeric antigen receptor (CAR) T-cell therapy, have unfortunately led to potentially lethal cardiotoxicity in patients. Cardiac complications represent unresolved and potentially life-threatening conditions in cancer survivors, while effective clinical management remains quite challenging. As a consequence, morbidity and mortality related to cardiac complications now threaten to offset some favorable benefits of modern cancer treatments in cancer-related survival, regardless of the oncologic prognosis. This review focuses on identifying critical research-practice gaps, addressing real-world challenges and pinpointing real-time insights in general terms under the context of clinical cardiotoxicity induced by the fourth and fifth modalities of cancer treatment. The information ranges from basic science to clinical management in the field of cardio-oncology and crosses the interface between oncology and onco-pharmacology. The complexity of the ongoing clinical problem is addressed at different levels. A better understanding of these research-practice gaps may advance research initiatives on the development of mechanism-based diagnoses and treatments for the effective clinical management of cardiotoxicity.
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Affiliation(s)
- Ping‐Pin Zheng
- Cardio‐Oncology Research GroupErasmus Medical CenterRotterdamthe Netherlands
- Department of PathologyErasmus Medical CenterRotterdamthe Netherlands
| | - Jin Li
- Department of OncologyShanghai East Hospital, Tongji University School of MedicineShanghaiChina
| | - Johan M Kros
- Department of PathologyErasmus Medical CenterRotterdamthe Netherlands
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Latus H, Nassar MS, Wong J, Hachmann P, Bellsham-Revell H, Hussain T, Apitz C, Salih C, Austin C, Anderson D, Yerebakan C, Akintuerk H, Bauer J, Razavi R, Schranz D, Greil G. Ventricular function and vascular dimensions after Norwood and hybrid palliation of hypoplastic left heart syndrome. Heart 2017; 104:244-252. [DOI: 10.1136/heartjnl-2017-311532] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 05/29/2017] [Accepted: 06/22/2017] [Indexed: 11/04/2022] Open
Abstract
ObjectiveNorwood and hybrid procedure are two options available for initial palliation of patients with hypoplastic left heart syndrome (HLHS). Our study aimed to assess potential differences in right ventricular (RV) function and pulmonary artery dimensions using cardiac magnetic resonance (CMR) in survivors with HLHS.Methods42 Norwood (mean age 2.4±0.8) and 44 hybrid (mean age 2.0±1.0 years) patients were evaluated by CMR after stage II palliation prior to planned Fontan completion. Initial stage I Norwood procedure was performed using a modified Blalock-Taussig shunt, while the hybrid procedure consisted of bilateral pulmonary artery banding and arterial duct stenting. Need for reinterventions and subsequent outcomes were also assessed.ResultsNorwood patients had larger RV end-diastolic dimensions (91±23 vs 80±31 mL/m2, p=0.004) and lower heart rate (90±15 vs 102±13, p<0.001) than hybrid patients. Both Norwood and hybrid patients showed preserved global RV pump function (59±9 vs 59%±10%, p=0.91), while RV strain, strain rate and intraventricular synchrony were superior in the Norwood group. Pulmonary artery size was reduced (lower lobe index 135±74 vs 161±62 mm2/m2, p=0.02), and reintervention rate was significantly higher in the hybrid group whereas subsequent outcome did not differ significantly (p=0.24).ConclusionsNorwood and hybrid strategy were associated with equivalent and preserved global RV pump function while development of the pulmonary arteries and reintervention rate were superior using the Norwood approach. Impaired RV myocardial deformation as a potential marker of early RV dysfunction in the hybrid group may have a negative long-term impact in this population.
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Chester RC, Gornbein JA, Hundley WG, Srikanthan P, Watson KE, Horwich T. Reflection Magnitude, a Measure of Arterial Stiffness, Predicts Incident Heart Failure in Men But Not Women: Multi-Ethnic Study of Atherosclerosis (MESA). J Card Fail 2017; 23:353-362. [DOI: 10.1016/j.cardfail.2017.01.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 09/16/2016] [Accepted: 01/13/2017] [Indexed: 12/19/2022]
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37
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Pontone G, Di Bella G, Castelletti S, Maestrini V, Festa P, Ait-Ali L, Masci PG, Monti L, di Giovine G, De Lazzari M, Cipriani A, Guaricci AI, Dellegrottaglie S, Pepe A, Marra MP, Aquaro GD. Clinical recommendations of cardiac magnetic resonance, Part II. J Cardiovasc Med (Hagerstown) 2017; 18:209-222. [DOI: 10.2459/jcm.0000000000000499] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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38
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Zemrak F, Ambale-Venkatesh B, Captur G, Chrispin J, Chamera E, Habibi M, Nazarian S, Mohiddin SA, Moon JC, Petersen SE, Lima JAC, Bluemke DA. Left Atrial Structure in Relationship to Age, Sex, Ethnicity, and Cardiovascular Risk Factors: MESA (Multi-Ethnic Study of Atherosclerosis). Circ Cardiovasc Imaging 2017; 10:e005379. [PMID: 28196797 PMCID: PMC5319802 DOI: 10.1161/circimaging.116.005379] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Accepted: 01/03/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Left atrial (LA) size is a marker of diastolic function and is associated with atrial fibrillation and cardiovascular outcomes. However, there are no large population studies measuring LA structure. The relationship of demographics and cardiovascular risk factors to LA size is largely unknown. This study aimed to determine associations of LA size with demographic factors, cardiac structure and function, and cardiovascular risk factors. METHODS AND RESULTS LA volume indexed to body surface area was measured by cardiovascular magnetic resonance steady-state free precession and fast gradient echo cine long- and short-axis images in 2576 asymptomatic participants of MESA ([Multi-Ethnic Study of Atherosclerosis] 68.7 years, 53.0% women, white 42.2%, Chinese American 12.0%, black 24.5%, and Hispanic 21.2%) using biplane and short-axis images. The mean LA volume index was 36.5±11.4 mL/m2 in the entire cohort and 35.5±10.1 mL/m2 in subjects free of cardiovascular risk factors (n=283). Multivariable analysis included adjustment for demographics, ethnicity, cardiovascular risk factors, serological studies, socioeconomic status, left ventricular structure, and medications. In the adjusted analysis, age (β=0.2 mL/m2 per year, P<0.0001), male sex (β=-4.2 mL/m2, P<0.0001), obesity (β=1.3 mL/m2, P<0.01), end-diastolic volume index (β=0.4 mL/m2, P<0.0001), Chinese American (β=-2.6 mL/m2, P<0.0001), and Hispanic (β=1.1 mL/m2, P<0.05) ethnicities were associated with LA volume index. Diabetes mellitus and smoking were not associated with LA volume index. LA volumes measured by steady-state free precession were 3% larger than by fast gradient echo cine cardiovascular magnetic resonance (P<0.001). CONCLUSIONS Age, sex, ethnicity and left ventricular structural parameters were associated with LA size. Importantly, the study provides reference values of normal LA volume index.
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Affiliation(s)
- Filip Zemrak
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Bharath Ambale-Venkatesh
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Gabriella Captur
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Jonathan Chrispin
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Ela Chamera
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Mohammadali Habibi
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Saman Nazarian
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Saidi A Mohiddin
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - James C Moon
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - Steffen E Petersen
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - João A C Lima
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.)
| | - David A Bluemke
- From the Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Barts Heart Centre, United Kingdom (F.Z., S.A.M., S.E.P.); Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD (B.A.-V., J.C., E.C., M.H., S.N., J.A.C.L.); Institute of Cardiovascular Science, University College London, United Kingdom (G.C., J.C.M.); and Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD (D.A.B.).
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Aquaro GD, Barison A, Todiere G, Grigoratos C, Ait Ali L, Di Bella G, Emdin M, Festa P. Usefulness of Combined Functional Assessment by Cardiac Magnetic Resonance and Tissue Characterization Versus Task Force Criteria for Diagnosis of Arrhythmogenic Right Ventricular Cardiomyopathy. Am J Cardiol 2016; 118:1730-1736. [PMID: 27825581 DOI: 10.1016/j.amjcard.2016.08.056] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 08/19/2016] [Accepted: 08/19/2016] [Indexed: 11/16/2022]
Abstract
Current task force criteria (TFC) of cardiac magnetic resonance (CMR) for the diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC/D) were generated by comparing probands (mean age of 44 years) to healthy participants of the multi-ethnic study of atherosclerosis (mean age of 60 years). These age differences may be a selection bias because right ventricular end-diastolic volume index decreases 4.6% per decade. Moreover, fat infiltration and late gadolinium enhancement were not included. We evaluated the diagnostic accuracy of TFC using the same methodology used by the task force but comparing probands and age- and gender-matched healthy controls and considering also other morphofunctional and tissue abnormalities detected by CMR. Forty-seven probands with previous diagnosis of ARVC/D (excluding probands if CMR was used for diagnosis) were compared with 216 age- and gender-matched healthy controls. TFC had optimal specificity (100%) but poor sensitivity (20% for major and 13% for minor criteria). The presence of any pre- and post-contrast signal abnormalities had 100% specificity and 81% sensitivity. The best diagnostic accuracy (98%) was achieved by the combined evaluation of any right ventricular wall motion abnormality (excluding hypokinesia) with any signal abnormality (including left ventricular fat infiltration and late gadolinium enhancement) yielding a 100% specificity and 96% sensitivity. Left ventricular was involved in 45% of the probands. Current TFC for CMR presented optimal specificity but poor sensitivity to identify patient with ARVC/D. Signal and wall motion parameters of CMR should be considered together to achieve the best diagnostic accuracy for the diagnosis of ARVC/D.
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Affiliation(s)
| | - Andrea Barison
- UOC Risonanza Magnetica, G. Monasterio CNR-Tuscany Foundation, Pisa, Italy
| | - Giancarlo Todiere
- UOC Risonanza Magnetica, G. Monasterio CNR-Tuscany Foundation, Pisa, Italy
| | | | | | - Gianluca Di Bella
- Clinical and Experimental Department of Medicine, University of Messina, Messina, Italy
| | - Michele Emdin
- UOC Risonanza Magnetica, G. Monasterio CNR-Tuscany Foundation, Pisa, Italy
| | - Pierluigi Festa
- UOC Risonanza Magnetica, G. Monasterio CNR-Tuscany Foundation, Pisa, Italy
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Kim TH, Jeong GW, Kim TS, Kim YH. Myocardial Metabolic Abnormality in a Primary Left Atrial Rhabdomyosarcoma: Localized 1H MR Spectroscopy. IRANIAN JOURNAL OF RADIOLOGY 2015; 12:e17757. [PMID: 26557276 PMCID: PMC4632563 DOI: 10.5812/iranjradiol.12(3).17757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 03/03/2014] [Accepted: 03/10/2014] [Indexed: 11/21/2022]
Abstract
We report a 73-year-old woman with primary left atrial rhabdomyosarcoma and its 1H MR spectroscopy (MRS) findings. The tumor showed a 2.8 cm sized lesion in the posteroinferior atrial wall on MRI. 1H MR spectra were acquired using a point-resolved spectroscopy (PRESS) sequence with electrocardiographic (ECG) gating and respiratory motion. The use of 1H-MRS allowed the quantification of triglyceride (TG) peak groups at 0.9 and 1.3 ppm, and unsaturated group of lipids at 2.1 ppm, creatine (Cr) at 3.0 ppm, and choline (Cho) at 3.2 ppm. The percentages of the myocardial metabolites based on water-peak in the interventricular septum were TG 18.4%, Cr 1.6%, Cho 3.3% and unsaturated group 4.0%, whereas the rhabdomyosarcoma showed TG 118.8%, unsaturated group 5.1%, Cr 1.3%, Cho 3.5% and the olefinic components of fatty acid at 5.4 ppm 24.5%. This case demonstrates that 1H-MRS is potentially useful to diagnose the rhabdomyosarcoma by quantifying the myocardial metabolites which are important biomarkers for heart function and diseases.
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Affiliation(s)
- Tae Hoon Kim
- Research Institute of Medical Imaging, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Gwang Woo Jeong
- Research Institute of Medical Imaging, Chonnam National University Medical School, Gwangju, Republic of Korea
- Department of Radiology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
- Corresponding author: Gwang Woo Jeong, Department of Radiology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea. Tel: +82-622205881, Fax: +82-622264380, E-mail:
| | - Tae Su Kim
- Department of Radiology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Yun Hyeon Kim
- Department of Radiology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
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Eng J, McClelland RL, Gomes AS, Hundley WG, Cheng S, Wu CO, Carr JJ, Shea S, Bluemke DA, Lima JAC. Adverse Left Ventricular Remodeling and Age Assessed with Cardiac MR Imaging: The Multi-Ethnic Study of Atherosclerosis. Radiology 2015; 278:714-22. [PMID: 26485617 DOI: 10.1148/radiol.2015150982] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To evaluate age-related left ventricular (LV) remodeling during longitudinal observation of a large cohort of asymptomatic individuals who were free of clinical cardiovascular disease at baseline. MATERIALS AND METHODS The applicable institutional review boards approved this study, and all participants gave informed consent. Cardiac magnetic resonance (MR) imaging was used to identify longitudinal changes in LV structure and function in 2935 participants who underwent baseline and follow-up cardiac MR imaging in the Multi-Ethnic Study of Atherosclerosis. Participants were free of clinical cardiovascular disease at baseline. Participants who experienced an incident coronary heart disease event were excluded. Data were analyzed with multivariable mixed-effects regression models in which the outcome was cardiac MR imaging measurement, and the covariates included follow-up time and cardiac risk factors. RESULTS Participants were aged 54-94 years at follow-up, and 53% of the participants were women. Median time between baseline and follow-up cardiac MR imaging was 9.4 years. Over this period, LV mass increased in men and decreased slightly in women (8.0 and -1.6 g per decade, respectively; P < .001). In both men and women, LV end-diastolic volume decreased (-9.8 and -13.3 mL per decade, respectively; P < .001), stroke volume decreased (-8.8 and -8.6 mL per decade, respectively; P < .001), and mass-to-volume ratio increased (0.14 and 0.11 g/mL per decade, respectively; P < .001). Change in LV mass was positively associated with systolic blood pressure and body mass index and negatively associated with treated hypertension and high-density lipoprotein cholesterol level. In men, the longitudinal LV mass increase was in contrast to a cross-sectional pattern of LV mass decrease. CONCLUSION As patients age, the LV responds differently in its mass and volume between men and women, although both men and women experience increased concentric LV remodeling with age. In men, the opposition of longitudinal and cross-sectional changes in LV mass highlights the importance of longitudinal study.
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Affiliation(s)
- John Eng
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Robyn L McClelland
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Antoinette S Gomes
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - W Gregory Hundley
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Susan Cheng
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Colin O Wu
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - J Jeffrey Carr
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Steven Shea
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - David A Bluemke
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
| | - Joao A C Lima
- From the Russell H. Morgan Department of Radiology and Radiological Science (J.E.) and Division of Cardiology, Department of Medicine (J.A.C.L.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287; Department of Biostatistics, University of Washington, Seattle, Wash (R.L.M.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Division of Cardiology, Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC (W.G.H.); Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass (S.C.); Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Md (C.O.W.); Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tenn (J.J.C.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.A.B.)
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Kawel-Boehm N, Maceira A, Valsangiacomo-Buechel ER, Vogel-Claussen J, Turkbey EB, Williams R, Plein S, Tee M, Eng J, Bluemke DA. Normal values for cardiovascular magnetic resonance in adults and children. J Cardiovasc Magn Reson 2015; 17:29. [PMID: 25928314 PMCID: PMC4403942 DOI: 10.1186/s12968-015-0111-7] [Citation(s) in RCA: 521] [Impact Index Per Article: 52.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 01/06/2015] [Indexed: 01/17/2023] Open
Abstract
Morphological and functional parameters such as chamber size and function, aortic diameters and distensibility, flow and T1 and T2* relaxation time can be assessed and quantified by cardiovascular magnetic resonance (CMR). Knowledge of normal values for quantitative CMR is crucial to interpretation of results and to distinguish normal from disease. In this review, we present normal reference values for morphological and functional CMR parameters of the cardiovascular system based on the peer-reviewed literature and current CMR techniques and sequences.
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Affiliation(s)
- Nadine Kawel-Boehm
- Department of Radiology, Kantonsspital Graubuenden, Loestrasse 170, 7000, Chur, Switzerland.
| | - Alicia Maceira
- Cardiac Imaging Unit, Eresa Medical Center, C/Marqués de San Juan s/n, 46015, Valencia, Spain.
| | | | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, OE 8220, Carl-Neuberg-Str 1, 30625, Hannover, Germany.
| | - Evrim B Turkbey
- Radiology and Imaging Sciences/ Clinical Image Processing Service, Clinical Center, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
| | - Rupert Williams
- The Rayne Institute, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute for Cardiovascular and Metabolic Medicine, LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9JT, UK.
| | - Michael Tee
- Radiology and Imaging Sciences, National Institute of Biomedical Imaging and Bioengineering, 10 Center Drive, Bethesda, MD, 20892-1074, USA.
| | - John Eng
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
| | - David A Bluemke
- Radiology and Imaging Sciences, National Institute of Biomedical Imaging and Bioengineering, 10 Center Drive, Bethesda, MD, 20892-1074, USA.
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Fernández-Pérez G, Franco López Á, García Fernández M, Corral de la Calle M, Encinas de la Iglesia J, Velasco Casares M. Función sistólica del ventrículo izquierdo: cómo comprenderla y analizarla. RADIOLOGIA 2014; 56:505-14. [DOI: 10.1016/j.rx.2013.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 09/09/2013] [Accepted: 09/20/2013] [Indexed: 11/29/2022]
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te Riele ASJM, Tandri H, Bluemke DA. Arrhythmogenic right ventricular cardiomyopathy (ARVC): cardiovascular magnetic resonance update. J Cardiovasc Magn Reson 2014; 16:50. [PMID: 25191878 PMCID: PMC4222825 DOI: 10.1186/s12968-014-0050-8] [Citation(s) in RCA: 100] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 06/24/2014] [Indexed: 12/23/2022] Open
Abstract
Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) is one of the most arrhythmogenic forms of inherited cardiomyopathy and a frequent cause of sudden death in the young. Affected individuals typically present between the second and fourth decade of life with arrhythmias coming from the right ventricle. Pathogenic mutations in genes encoding the cardiac desmosome can be found in approximately 60% of index patients, leading to our current perception of ARVC as a desmosomal disease. Although ARVC is known to preferentially affect the right ventricle, early and/or predominant left ventricular involvement is increasingly recognized. Diagnosis is made by combining multiple sources of diagnostic information as prescribed by the "Task Force" criteria. Recent research suggests that electrical abnormalities precede structural changes in ARVC. Cardiovascular Magnetic Resonance (CMR) is an ideal technique in ARVC workup, as it provides comprehensive information on cardiac morphology, function, and tissue characterization in a single investigation. Prevention of sudden cardiac death using implantable cardioverter-defibrillators is the most important management consideration. This purpose of this paper is to provide an updated review of our understanding of the genetics, diagnosis, current state-of-the-art CMR acquisition and analysis, and management of patients with ARVC.
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Affiliation(s)
- Anneline SJM te Riele
- Department of Medicine, Division of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harikrishna Tandri
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David A Bluemke
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Drive, Bethesda 20892, MD, USA
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Chrispin J, Jain A, Soliman EZ, Guallar E, Alonso A, Heckbert SR, Bluemke DA, Lima JAC, Nazarian S. Association of electrocardiographic and imaging surrogates of left ventricular hypertrophy with incident atrial fibrillation: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol 2014; 63:2007-13. [PMID: 24657688 DOI: 10.1016/j.jacc.2014.01.066] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Revised: 01/14/2014] [Accepted: 01/24/2014] [Indexed: 11/27/2022]
Abstract
OBJECTIVES This study sought to examine the association between left ventricular hypertrophy (LVH), defined by cardiac magnetic resonance (CMR) and electrocardiography (ECG), with incident atrial fibrillation (AF). BACKGROUND Previous studies of the association between AF and LVH were based primarily on echocardiographic measures of LVH. METHODS The MESA (Multi-Ethnic Study of Atherosclerosis) enrolled 4,942 participants free of clinically recognized cardiovascular disease. Incident AF was based on MESA-ascertained hospital-discharge International Classification of Diseases codes and Centers for Medicare and Medicaid Services inpatient hospital claims. CMR-LVH was defined as left ventricular mass ≥95th percentile of the MESA population distribution. Eleven ECG-LVH criteria were assessed. The association of LVH with incident AF was evaluated using multivariable Cox proportional hazards models adjusted for CVD risk factors. RESULTS During a median follow-up of 6.9 years, 214 incident AF events were documented. Participants with AF were more likely to be older, hypertensive, and overweight. The risk of AF was greater in participants with CMR-derived LVH (hazard ratio [HR]: 2.04, 95% confidence interval [CI]: 1.15 to 3.62). AF was associated with ECG-derived LVH measure of Sokolow-Lyon voltage product after adjusting for CMR-LVH (HR: 1.83, 95% CI: 1.06 to 3.14, p = 0.02). The associations with AF for CMR-LVH and Sokolow-Lyon voltage product were attenuated when adjusted for CMR left atrial volumes. CONCLUSIONS In a multiethnic cohort of participants without clinically detected cardiovascular disease, both CMR and ECG-derived LVH were associated with incident AF. ECG-LVH showed prognostic significance independent of CMR-LVH. The association was attenuated when adjusted for CMR left atrial volumes.
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Affiliation(s)
- Jonathan Chrispin
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Aditya Jain
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elsayed Z Soliman
- Departments of Epidemiology and Prevention and Internal Medicine, Cardiology Section, Epidemiological Cardiology Research Center (EPICARE), Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Eliseo Guallar
- Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Alvaro Alonso
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - David A Bluemke
- Radiology and Imaging Sciences, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center and National Institute of Biomedical Imaging and Bioengineering, Bethesda, Maryland
| | - João A C Lima
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Saman Nazarian
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Resting heart rate as predictor for left ventricular dysfunction and heart failure: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol 2014; 63:1182-1189. [PMID: 24412444 DOI: 10.1016/j.jacc.2013.11.027] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Revised: 10/15/2013] [Accepted: 11/25/2013] [Indexed: 01/08/2023]
Abstract
OBJECTIVES The objective of this study was to investigate the relationship between baseline resting heart rate and incidence of heart failure (HF) and global and regional left ventricular (LV) dysfunction. BACKGROUND The association of resting heart rate to HF and LV function has not been well described in an asymptomatic multi-ethnic population. METHODS Resting heart rate was measured in participants in the MESA (Multi-Ethnic Study of Atherosclerosis) trial at inclusion. Incident HF was registered (n = 176) during follow-up (median 7 years) in those who underwent cardiac magnetic resonance imaging (n = 5,000). Changes in ejection fraction (ΔEF) and peak circumferential strain (Δεcc) were measured as markers of developing global and regional LV dysfunction in 1,056 participants imaged at baseline and 5 years later. Time to HF (Cox model) and Δεcc and ΔEF (multiple linear regression models) were adjusted for demographics, traditional cardiovascular risk factors, calcium score, LV end-diastolic volume, and mass in addition to resting heart rate. RESULTS Cox analysis demonstrated that for 1 beat/min increase in resting heart rate, there was a 4% greater adjusted relative risk for incident HF (hazard ratio: 1.04; 95% CI: 1.02 to 1.06; p < 0.001). Adjusted multiple regression models demonstrated that resting heart rate was positively associated with deteriorating εcc and decrease in EF, even when all coronary heart disease events were excluded from the model. CONCLUSIONS Elevated resting heart rate was associated with increased risk for incident HF in asymptomatic participants in the MESA trial. Higher heart rate was related to development of regional and global LV dysfunction independent of subclinical atherosclerosis and coronary heart disease. (Multi-Ethnic Study of Atherosclerosis [MESA]; NCT00005487).
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Medrano-Gracia P, Cowan BR, Bluemke DA, Finn JP, Kadish AH, Lee DC, Lima JAC, Suinesiaputra A, Young AA. Atlas-based analysis of cardiac shape and function: correction of regional shape bias due to imaging protocol for population studies. J Cardiovasc Magn Reson 2013; 15:80. [PMID: 24033990 PMCID: PMC3848808 DOI: 10.1186/1532-429x-15-80] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2013] [Accepted: 09/04/2013] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Cardiovascular imaging studies generate a wealth of data which is typically used only for individual study endpoints. By pooling data from multiple sources, quantitative comparisons can be made of regional wall motion abnormalities between different cohorts, enabling reuse of valuable data. Atlas-based analysis provides precise quantification of shape and motion differences between disease groups and normal subjects. However, subtle shape differences may arise due to differences in imaging protocol between studies. METHODS A mathematical model describing regional wall motion and shape was used to establish a coordinate system registered to the cardiac anatomy. The atlas was applied to data contributed to the Cardiac Atlas Project from two independent studies which used different imaging protocols: steady state free precession (SSFP) and gradient recalled echo (GRE) cardiovascular magnetic resonance (CMR). Shape bias due to imaging protocol was corrected using an atlas-based transformation which was generated from a set of 46 volunteers who were imaged with both protocols. RESULTS Shape bias between GRE and SSFP was regionally variable, and was effectively removed using the atlas-based transformation. Global mass and volume bias was also corrected by this method. Regional shape differences between cohorts were more statistically significant after removing regional artifacts due to imaging protocol bias. CONCLUSIONS Bias arising from imaging protocol can be both global and regional in nature, and is effectively corrected using an atlas-based transformation, enabling direct comparison of regional wall motion abnormalities between cohorts acquired in separate studies.
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Affiliation(s)
- Pau Medrano-Gracia
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland 1142, New Zealand
| | - Brett R Cowan
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland 1142, New Zealand
| | - David A Bluemke
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, Maryland, USA
| | - J Paul Finn
- Department of Radiology, UCLA, Los Angeles, USA
| | - Alan H Kadish
- Feinberg Cardiovascular Research Institute, Northwestern University, Chicago, USA
| | - Daniel C Lee
- Feinberg Cardiovascular Research Institute, Northwestern University, Chicago, USA
| | - Joao AC Lima
- The Donald W. Reynolds Cardiovascular Clinical Research Center, The Johns Hopkins University, Baltimore, USA
| | - Avan Suinesiaputra
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland 1142, New Zealand
| | - Alistair A Young
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland 1142, New Zealand
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Macedo R, Fernandes JL, Andrade SS, Rochitte CE, Lima KC, Maciel ACC, Maciel FC, Alves GSP, Coelho OR, Diniz RVZ. Morphological and functional measurements of the heart obtained by magnetic resonance imaging in Brazilians. Arq Bras Cardiol 2013; 101:68-77. [PMID: 23752338 PMCID: PMC3998183 DOI: 10.5935/abc.20130113] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 12/16/2012] [Accepted: 03/20/2013] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Still today, measurements used as a reference in the cardiac magnetic resonance imaging have been obtained mainly from studies carried out in North-American and European populations. OBJECTIVE To obtain measurements of the diastolic diameter, systolic diameter, end diastolic volume, end systolic volume, ejection fraction, and myocardial mass of the left and right ventricles in Brazilians. METHODS 54 men and 53 women, with mean age of 43.4 ± 13.1 years, asymptomatic, with no cardiomyopathies, have been subjected to the cardiac magnetic resonance imaging, using a balanced steady state free precession technique. RESULTS The averages and the standard deviations of the parameters for the left ventricle have been: diastolic diameter = 4.8 ± 0.5 cm; systolic diameter = 3.0 ± 0.6 cm; end diastolic volume = 128.4 ± 29.6 mL; end systolic volume = 45.2 ± 16.6 mL; ejection fraction = 65.5 ± 6.3%; mass = 95.2 ± 30.8 g. For the right ventricle, they have been: diastolic diameter = 3.9 ± 1.3 cm; systolic diameter = 2.5 ± 0.5 cm; end diastolic volume = 126.5 ± 30.7 mL; end systolic volume = 53.6 ± 18.4 mL; ejection fraction = 58.3 ± 8.0%, and mass = 26.1 ± 6.1 g. The masses and the volumes were significantly greater in the men, except for the end systolic volume of the left ventricle. The ejection fraction of the right ventricle has been significantly greater in the women. There has been a significant and inverted correlation of the systolic volume of the right volume with the progression of the age. CONCLUSION This study has described, for the first time, cardiac measurements obtained through the cardiac magnetic resonance imaging in Brazilians, asymptomatic, with no cardiomyopathies, showing differences in accordance with gender and age.
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Affiliation(s)
- Robson Macedo
- Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
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Stacey RB, Andersen MM, St Clair M, Hundley WG, Thohan V. Comparison of systolic and diastolic criteria for isolated LV noncompaction in CMR. JACC Cardiovasc Imaging 2013; 6:931-40. [PMID: 23769489 DOI: 10.1016/j.jcmg.2013.01.014] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Revised: 01/16/2013] [Accepted: 01/22/2013] [Indexed: 02/08/2023]
Abstract
OBJECTIVES This study used cardiac magnetic resonance (CMR) to compare standard criteria for left ventricular noncompaction (LVNC). BACKGROUND LVNC as a distinct cardiomyopathy is supported by a growing number of publications. Echocardiographic and CMR criteria have been established to diagnosis LVNC but have led to concerns of diagnostic accuracy. METHODS Trabeculation/possible LVNC by CMR was retrospectively observed in 122 consecutive cases. We compared the standard end-systolic noncompacted-to-compacted ratio (ESNCCR), end-diastolic noncompacted:compacted ratio (EDNCCR), and trabecular mass-to-total mass ratio (TMTMR) along with deaths, embolic events, congestive heart failure (CHF) readmissions, ventricular arrhythmias, myocardial thickening (MT), left ventricular ejection fraction (LVEF), 3-dimensional sphericity index (3DSi), and left ventricular end-diastolic volume index. Adjusting for age, race, sex, body surface area, diabetes mellitus, hypertension, hyperlipidemia, coronary artery disease, and CHF, logistic regression was used to compare combined events (death, CHF readmission, embolism, ventricular arrhythmia) between ESNCCR, EDNCCR, and TMTMR. Adjusting for same covariates except CHF, logistic regression was used to compare the odds of CHF for those who met criteria and those who did not. Using analysis of covariance, adjusted means for LVEF, MT, 3DSi, and left ventricular end-diastolic volume index were generated. RESULTS ES criteria had a higher odds ratio (8.6; 95% confidence interval [CI]: 2.5 to 33) for combined events than ED criteria (1.8; 95% CI: 0.6 to 5.8) or TMTMR criteria (3.14; 95% CI: 1.09 to 10.2). The odds ratio of CHF for those who met ESNCCR criteria was 29.4 (95% CI: 6.6 to 125), but the odds ratio of CHF for those who met EDNCCR criteria was 3.3 (95% CI: 1.1 to 9.2). After adjustment, those who met criteria for noncompaction by ESNCCR had a lower LVEF and less MT than those who did not (p = 0.01 and p = 0.003, respectively), but there was no difference between those who met criteria for EDNCCR or the TMTMR criteria and those who did not. CONCLUSIONS ES measures of LVNC have stronger associations with events, CHF, and systolic dysfunction than other measures.
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Affiliation(s)
- R Brandon Stacey
- Department of Internal Medicine, Section on Cardiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
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Mitral regurgitation recovery and atrial reverse remodeling following pulmonary vein isolation procedure in patients with atrial fibrillation: a clinical observation proof-of-concept cardiac MRI study. J Interv Card Electrophysiol 2013; 37:307-15. [DOI: 10.1007/s10840-013-9784-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 01/13/2013] [Indexed: 11/26/2022]
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