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Miura H, Koseki M, Ide S, Asaumi Y, Morita Y, Ohta Y, Tanaka K, Okada T, Omatsu T, Ogata S, Fukuda T, Sakata Y, Noguchi T. Stronger positive correlation of the left ventricular mass index and extracellular volume fraction with diastolic function in diabetic patients without myocardial infarction. Int J Cardiol 2024; 408:132099. [PMID: 38663814 DOI: 10.1016/j.ijcard.2024.132099] [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: 01/20/2024] [Revised: 03/25/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND The structural and functional characteristics of the heart in patients with diabetes mellitus (DM) and without myocardial infarction (MI) are not fully understood. METHODS We retrospectively analysed the data of patients with left ventricular ejection fraction (LVEF) ≥ 40% who underwent contrast-enhanced cardiac magnetic resonance imaging (CMR), which was also used to exclude MI, at two hospitals. Volumetric data and extracellular volume fraction (ECVf) of the myocardium evaluated using CMR were compared between patients with and without DM, and their association with diastolic function was evaluated. RESULTS Among 322 analysed patients, 53 had DM. CMR revealed that the left ventricular mass index (LVMi) and ECVf were increased while LVEF was decreased in patients with DM after adjusting for patient characteristics (all P < 0.05). A stronger positive correlation was observed between LVMi and the early diastolic transmitral flow velocity to early diastolic mitral annular velocity ratio (E/e') in patients with DM than in those without DM (correlation coefficient [R] = 0.46, p = 0.001; R = 0.15, p = 0.021, respectively; p for interaction = 0.011). ECVf correlated with E/e' only in patients with DM (R = 0.61, p = 0.004). CONCLUSIONS Patients with DM have increased LVMi and ECVf. Importantly, there was a difference between patients with and without DM in the relationship between these structural changes and E/e', with a stronger relationship in patients with DM. Furthermore, DM is associated with mildly reduced LVEF even in the absence of MI.
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Affiliation(s)
- Hiroyuki Miura
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan; Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Masahiro Koseki
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
| | - Seiko Ide
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
| | - Yoshiaki Morita
- Department of Radiology, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
| | - Yasutoshi Ohta
- Department of Radiology, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
| | - Katsunao Tanaka
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Takeshi Okada
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Takashi Omatsu
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Soshiro Ogata
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
| | - Tetsuya Fukuda
- Department of Radiology, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
| | - Yasushi Sakata
- Division of Cardiovascular Medicine, Department of Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Teruo Noguchi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, 6-1 Kishibe-Shimmachi, Suita, Osaka 564-8565, Japan
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Tang M, Zhang F, Liu B, Liu Q, Qi W, Tang M, Luo Y, Chen J. Assessment of Pulmonary Arteries Hemodynamics and Its Relationship With Cardiac Remodeling and Myocardial Fibrosis in Athletes With Four-Dimensional Flow MRI. J Magn Reson Imaging 2024; 60:377-387. [PMID: 37819191 DOI: 10.1002/jmri.29048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Exercise-induced cardiac remodeling (CR) and myocardial fibrosis (MF) can increase cardiovascular risk in athletes. Early detection of pulmonary arterial hemodynamics parameters among athletes may be beneficial in optimizing the frequency of clinical follow-ups. PURPOSE To analyze the hemodynamics of pulmonary arteries and its relationship with CR and MF in athletes using four-dimensional (4D) flow MRI. STUDY TYPE Prospective. POPULATION One hundred twenty-one athletes (median age, 24 years; mean exercise per week 10 hours, for mean of 5 years) and twenty-one sedentary healthy controls (median age, 25 years; exercise per week <3 hours, irregular pattern). FIELD STRENGTH/SEQUENCE True fast imaging with steady state free precession, time-resolved 3D Cartesian phase-contrast, and phase sensitive inversion recovery late gadolinium enhancement sequences at 3.0 T. ASSESSMENT CR was defined as any cardiac parameters exceeding the 99th percentile upper reference limits, encompassing ventricular function, bi-atrium and bi-ventricle diameters, and ventricular wall thickness. MF was visually evaluated by three independent radiologists. 4D flow parameters were assessed in the main, right, and left pulmonary arteries (MPA, RPA, and LPA, respectively) and compared between different groups. Four machine learning (ML) models were developed to differentiate between athletes with and without CR and/or MF. STATISTICAL TESTS Univariate analysis was used to compare groups. Area under the receiver operating characteristic curve (AUC) was used to assess the performance of the ML models. RESULTS Athletes had significantly higher WSSmax in the MPA, RPA, and LPA than controls. Athletes with CR and/or MF (N = 30) had significantly lower RPmax from MPA to RPA than those without (N = 91). Among the ML models, the gradient boosting machine model had the highest performance, with an AUC of 0.90. CONCLUSION The pulmonary arterial hemodynamics parameters could differentiate CR and/or MF in athletes, which may be potential to assist in optimizing frequency of follow-up. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Mingsong Tang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Fan Zhang
- Department of Gynaecology and Ostetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Binyao Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Qian Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Wanying Qi
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Min Tang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Luo
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Jing Chen
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
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Yan WF, Yang ZG, Li XM, Tang SS, Guo YK, Jiang L, Min CY, Li Y. Additional Impact of Aortic Regurgitation on Left Ventricular Strain and Remodeling in Essential Hypertension Patients Evaluated Using MRI. J Magn Reson Imaging 2024; 60:339-349. [PMID: 37966904 DOI: 10.1002/jmri.29117] [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: 08/13/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Understanding the impact of aortic regurgitation (AR) on hypertensive patients' hearts is important. PURPOSE To assess left ventricular (LV) strain and structure in hypertensive patients and investigate the relationship with AR severity. STUDY TYPE Retrospective. POPULATION 263 hypertensive patients (99 with AR) and 62 controls, with cardiac MRI data. FIELD STRENGTH/SEQUENCE Balanced steady-state free precession (bSSFP) sequence at 3.0T. ASSESSMENT AR was classified as mild, moderate, or severe based on echocardiographic findings. LV geometry was classified as normal, concentric remodeling, eccentric hypertrophy, or concentric hypertrophy based on MRI assessment of LV mass/volume ratio and LV Mass index (LVMI). LV global radial peak strain (GRPS), global circumferential peak strain (GCPS), and global longitudinal peak strain (GLPS) were obtained by post-processing bSSFP cine datasets using commercial software. STATISTICAL TESTS ANOVA, Kruskal-Wallis test, Spearman's correlation coefficients (r), chi-square test, and multivariable linear regression analysis. A P value <0.05 was considered statistically significant. RESULTS Hypertensive patients with AR had significantly lower LV myocardial strain and higher LVMI than the group without AR (GRPS 26.25 ± 12.23 vs. 34.53 ± 9.85, GCPS -17.4 ± 5.84 vs. -20.57 ± 3.57, GLPS -9.86 ± 4.08 vs. -12.95 ± 2.94, LVMI 90.56 ± 38.56 vs.58.84 ± 17.55). Of the 99 patients with AR, 56 had mild AR, 26 had moderate AR and 17 had severe AR. The degree of AR was significantly negatively correlated to the absolute values of LV GRPS, GCPS and GLPS (r = -0.284 - -0.416). LV eccentric hypertrophy increased significantly with AR severity (no AR 21.3%, mild AR 42.9%, moderate AR 73.1%, severe AR 82.4%). In multivariable analysis, the degree of AR was an independent factor affecting LV global strain and LVMI even after considering confounding factors (β values for global myocardial strain were -0.431 to -0.484, for LVMI was 0.646). DATA CONCLUSION Increasing AR severity leads to decreased cardiac function and worse ventricular geometric phenotypes in hypertensive patients. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Si-Shi Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chen-Yan Min
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Mendiola Pla M, Milano CA, Glass C, Bowles DE, Wendell DC. Cardiac magnetic resonance imaging characterization of acute rejection in a porcine heterotopic heart transplantation model. PLoS One 2024; 19:e0304588. [PMID: 38829911 PMCID: PMC11146723 DOI: 10.1371/journal.pone.0304588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Preclinical disease models are important for the advancement of therapeutics towards human clinical trials. One of the difficult tasks of developing a well-characterized model is having a reliable modality with which to trend the progression of disease. Acute rejection is one of the most devastating complications that can occur following organ transplantation. Specifically in cardiac transplantation, approximately 12% of patients will experience at least one episode of moderate or severe acute rejection in the first year. Currently, the gold standard for monitoring rejection in the clinical setting is to perform serial endomyocardial biopsies for direct histological assessment. However, this is difficult to reproduce in a porcine model of acute rejection in cardiac transplantation where the heart is heterotopically transplanted in an abdominal position. Cardiac magnetic resonance imaging is arising as an alternative for serial screening for acute rejection in cardiac transplantation. This is an exploratory study to create and define a standardized cardiac magnetic resonance screening protocol for characterizing changes associated with the presence of acute rejection in this preclinical model of disease. Results demonstrate that increases in T1 mapping, T2 mapping, left ventricular mass, and in late gadolinium enhancement are significantly correlated with presence of acute rejection.
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Affiliation(s)
- Michelle Mendiola Pla
- Division of Cardiothoracic Surgery, Duke University Medical Center, Durham, NC, United States of America
| | - Carmelo A. Milano
- Division of Cardiothoracic Surgery, Duke University Medical Center, Durham, NC, United States of America
| | - Carolyn Glass
- Department of Pathology, Duke University Medical Center, Durham, NC, United States of America
| | - Dawn E. Bowles
- Division of Surgical Sciences, Duke University Medical Center, Durham, NC, United States of America
| | - David C. Wendell
- Division of Cardiology, Duke University Medical Center, Durham, NC, United States of America
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, NC, United States of America
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Deshmukh T, Selvakumar D, Thavapalachandran S, Archer O, Figtree GA, Feneley M, Grieve SM, Thomas L, Pathan F, Chong JJH. Correlation of Noninvasive Cardiac MRI Measures of Left Ventricular Myocardial Function and Invasive Pressure-Volume Parameters in a Porcine Ischemia-Reperfusion Model. Radiol Cardiothorac Imaging 2024; 6:e230252. [PMID: 38842454 DOI: 10.1148/ryct.230252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Purpose To assess the correlation between noninvasive cardiac MRI-derived parameters with pressure-volume (PV) loop data and evaluate changes in left ventricular function after myocardial infarction (MI). Materials and Methods Sixteen adult female swine were induced with MI, with six swine used as controls and 10 receiving platelet-derived growth factor-AB (PDGF-AB). Load-independent measures of cardiac function, including slopes of end-systolic pressure-volume relationship (ESPVR) and preload recruitable stroke work (PRSW), were obtained on day 28 after MI. Cardiac MRI was performed on day 2 and day 28 after infarct. Global longitudinal strain (GLS) and global circumferential strain (GCS) were measured. Ventriculo-arterial coupling (VAC) was derived from PV loop and cardiac MRI data. Pearson correlation analysis was performed. Results GCS (r = 0.60, P = .01), left ventricular ejection fraction (LVEF) (r = 0.60, P = .01), and cardiac MRI-derived VAC (r = 0.61, P = .01) had a significant linear relationship with ESPVR. GCS (r = 0.75, P < .001) had the strongest significant linear relationship with PRSW, followed by LVEF (r = 0.67, P = .005) and cardiac MRI-derived VAC (r = 0.60, P = .01). GLS was not significantly correlated with ESPVR or PRSW. There was a linear correlation (r = 0.82, P < .001) between VAC derived from cardiac MRI and from PV loop data. GCS (-3.5% ± 2.3 vs 0.5% ± 1.4, P = .007) and cardiac MRI-derived VAC (-0.6 ± 0.6 vs 0.3 ± 0.3, P = .001) significantly improved in the animals treated with PDGF-AB 28 days after MI compared with controls. Conclusion Cardiac MRI-derived parameters of MI correlated with invasive PV measures, with GCS showing the strongest correlation. Cardiac MRI-derived measures also demonstrated utility in assessing therapeutic benefit using PDGF-AB. Keywords: Cardiac MRI, Myocardial Infarction, Pressure Volume Loop, Strain Imaging, Ventriculo-arterial Coupling Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Tejas Deshmukh
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Dinesh Selvakumar
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Sujitha Thavapalachandran
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Oliver Archer
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Gemma A Figtree
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Michael Feneley
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Stuart M Grieve
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Liza Thomas
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - Faraz Pathan
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
| | - James J H Chong
- From the Centre for Heart Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia (T.D., D.S., S.T., J.J.H.C.); Department of Cardiology, Westmead Hospital, Westmead, Australia (T.D., D.S., S.T., O.A., L.T., J.J.H.C.); Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (T.D., D.S., S.T., L.T., J.J.H.C.); Cardiovascular Discovery Group, Kolling Institute, University of Sydney and Royal North Shore Hospital, St Leonards, Sydney, Australia (G.A.F.); Department of Cardiology, St Vincent's Hospital, Darlinghurst, Australia (M.F.); Cardiac Mechanics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia (M.F.); Imaging and Phenotyping Laboratory, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia (S.M.G.); Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Australia (S.M.G.); Nepean Clinical School of Medicine, Charles Perkin Centre Nepean, University of Sydney, Kingswood, Australia (F.P.); and Department of Cardiology, Nepean Hospital, Kingswood, Australia (F.P.)
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Mallabone M, Labib D, Abdelhaleem A, Dykstra S, Thompson RB, Paterson DI, Thompson SK, Hasanzadeh F, Mikami Y, Rivest S, Flewitt J, Feng Y, Macdonald M, King M, Bristow M, Kolman L, Howarth AG, Lydell CP, Miller RJH, Fine NM, White JA. Sex-based differences in the phenotypic expression and prognosis of idiopathic non-ischaemic cardiomyopathy: a cardiovascular magnetic resonance study. Eur Heart J Cardiovasc Imaging 2024; 25:804-813. [PMID: 38236156 DOI: 10.1093/ehjci/jeae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/16/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
AIMS We sought to characterize sex-related differences in cardiovascular magnetic resonance-based cardiovascular phenotypes and prognosis in patients with idiopathic non-ischaemic cardiomyopathy (NICM). METHODS AND RESULTS Patients with NICM enrolled in the Cardiovascular Imaging Registry of Calgary (CIROC) between 2015 and 2021 were identified. Z-score values for chamber volumes and function were calculated as standard deviation from mean values of 157 sex-matched healthy volunteers, ensuring reported differences were independent of known sex-dependencies. Patients were followed for the composite outcome of all-cause mortality, heart failure admission, or ventricular arrhythmia. A total of 747 patients were studied, 531 (71%) males. By Z-score values, females showed significantly higher left ventricular (LV) ejection fraction (EF; median difference 1 SD) and right ventricular (RV) EF (difference 0.6 SD) with greater LV mass (difference 2.1 SD; P < 0.01 for all) vs. males despite similar chamber volumes. Females had a significantly lower prevalence of mid-wall striae (MWS) fibrosis (22% vs. 34%; P < 0.001). Over a median follow-up of 4.7 years, 173 patients (23%) developed the composite outcome, with equal distribution in males and females. LV EF and MWS were significant independent predictors of the outcome (respective HR [95% CI] 0.97 [0.95-0.99] and 1.6 [1.2-2.3]; P = 0.003 and 0.005). There was no association of sex with the outcome. CONCLUSION In a large contemporary cohort, NICM was uniquely expressed in females vs. males. Despite similar chamber dilation, females demonstrated greater concentric remodelling, lower reductions in bi-ventricular function, and a lower burden of replacement fibrosis. Overall, their prognosis remained similar to male patients with NICM.
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Affiliation(s)
- Maggie Mallabone
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
| | - Dina Labib
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Cardiovascular Medicine, Cairo University, Cairo, Egypt
| | - Ahmed Abdelhaleem
- Department of Internal Medicine, Saint Alphonsus Medical Centre, Nampa, ID, USA
| | - Steven Dykstra
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Richard B Thompson
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
| | - D Ian Paterson
- Ottawa Heart Institute, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Sam K Thompson
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
| | - Fereshteh Hasanzadeh
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Yoko Mikami
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Sandra Rivest
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
| | - Jacqueline Flewitt
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Yuanchao Feng
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | | | - Melanie King
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
| | - Michael Bristow
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Louis Kolman
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrew G Howarth
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Carmen P Lydell
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Robert J H Miller
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Nowell M Fine
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - James A White
- Stephenson Cardiac Imaging Centre, University of Calgary, #0700, SSB, Foothills Medical Centre, 1403-29th St., Calgary, AB, NW T2N2T9, Canada
- Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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7
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Jani VP, Ostovaneh M, Chamera E, Kato Y, Lima JAC, Ambale-Venkatesh B. Deep learning for automatic volumetric segmentation of left ventricular myocardium and ischaemic scar from multi-slice late gadolinium enhancement cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2024; 25:829-838. [PMID: 38244222 DOI: 10.1093/ehjci/jeae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/09/2023] [Accepted: 01/16/2024] [Indexed: 01/22/2024] Open
Abstract
AIMS This study details application of deep learning for automatic volumetric segmentation of left ventricular (LV) myocardium and scar and automated quantification of myocardial ischaemic scar burden from late gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR). METHODS AND RESULTS We included 501 images and manual segmentations of short-axis LGE-CMR from over 20 multinational sites, from which 377 studies were used for training and 124 studies from unique participants for internal validation. A third test set of 52 images was used for external evaluation. Three models, U-Net, Cascaded U-Net, and U-Net++, were trained with a novel adaptive weighted categorical cross-entropy loss function. Model performance was evaluated using concordance correlation coefficients (CCCs) for LV mass and per cent myocardial scar burden. Cascaded U-Net was found to be the best model for the quantification of LV mass and scar percentage. The model exhibited a mean difference of -5 ± 23 g for LV mass, -0.4 ± 11.2 g for scar mass, and -0.8 ± 7% for per cent scar. CCC were 0.87, 0.77, and 0.78 for LV mass, scar mass, and per cent scar burden, respectively, in the internal validation set and 0.75, 0.71, and 0.69, respectively, in the external test set. For segmental scar mass, CCC was 0.74 for apical scar, 0.91 for mid-ventricular scar, and 0.73 for basal scar, demonstrating moderate to strong agreement. CONCLUSION We successfully trained a convolutional neural network for volumetric segmentation and analysis of LV scar burden from LGE-CMR images in a large, multinational cohort of participants with ischaemic scar.
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Affiliation(s)
- Vivek P Jani
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD 21297-0409, USA
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Mohammad Ostovaneh
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD 21297-0409, USA
| | - Elzbieta Chamera
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD 21297-0409, USA
| | - Yoko Kato
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD 21297-0409, USA
| | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD 21297-0409, USA
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8
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Lamy J, Gonzales RA, Xiang J, Seemann F, Huber S, Steele J, Wieben O, Heiberg E, Peters DC. Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast. Magn Reson Med 2024. [PMID: 38817154 DOI: 10.1002/mrm.30163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 04/17/2024] [Accepted: 05/06/2024] [Indexed: 06/01/2024]
Abstract
PURPOSE Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automated valve-tracking 2D method for measuring flow through the dynamic tricuspid valve. METHODS Nine healthy subjects and 2 patients were imaged. The approach uses a previously trained deep learning network, TVnet, to automatically track the tricuspid valve plane from long-axis cine images. Subsequently, the tracking information is used to acquire 2D phase contrast (PC) with a dynamic (moving) acquisition plane that tracks the valve. Direct diastolic net flows evaluated from the dynamic PC sequence were compared with flows from 2D-PC scans acquired in a static slice localized at the end-systolic valve position, and also ventricular stroke volumes (SVs) using both planimetry and 2D PC of the great vessels. RESULTS The mean tricuspid valve systolic excursion was 17.8 ± 2.5 mm. The 2D valve-tracking PC net diastolic flow showed excellent correlation with SV by right-ventricle planimetry (bias ± 1.96 SD = -0.2 ± 10.4 mL, intraclass correlation coefficient [ICC] = 0.92) and aortic PC (-1.0 ± 13.8 mL, ICC = 0.87). In comparison, static tricuspid valve 2D PC also showed a strong correlation but had greater bias (p = 0.01) versus the right-ventricle SV (10.6 ± 16.1 mL, ICC = 0.61). In most (8 of 9) healthy subjects, trace regurgitation was measured at begin-systole. In one patient, valve-tracking PC displayed a high-velocity jet (380 cm/s) with maximal velocity agreeing with echocardiography. CONCLUSION Automated valve-tracking 2D PC is a feasible route toward evaluation of tricuspid regurgitant velocities, potentially solving a major clinical challenge.
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Affiliation(s)
- Jérôme Lamy
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France
| | - Ricardo A Gonzales
- Oxford Center for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jie Xiang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Felicia Seemann
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Steffen Huber
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Jeremy Steele
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
| | - Oliver Wieben
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Einar Heiberg
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Dana C Peters
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA
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9
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Davidson LJ, Tang GHL, Ho EC, Fudim M, Frisoli T, Camaj A, Bowers MT, Masri SC, Atluri P, Chikwe J, Mason PJ, Kovacic JC, Dangas GD. The Tricuspid Valve: A Review of Pathology, Imaging, and Current Treatment Options: A Scientific Statement From the American Heart Association. Circulation 2024; 149:e1223-e1238. [PMID: 38660790 DOI: 10.1161/cir.0000000000001232] [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] [Indexed: 04/26/2024]
Abstract
Tricuspid valve disease is an often underrecognized clinical problem that is associated with significant morbidity and mortality. Unfortunately, patients will often present late in their disease course with severe right-sided heart failure, pulmonary hypertension, and life-limiting symptoms that have few durable treatment options. Traditionally, the only treatment for tricuspid valve disease has been medical therapy or surgery; however, there have been increasing interest and success with the use of transcatheter tricuspid valve therapies over the past several years to treat patients with previously limited therapeutic options. The tricuspid valve is complex anatomically, lying adjacent to important anatomic structures such as the right coronary artery and the atrioventricular node, and is the passageway for permanent pacemaker leads into the right ventricle. In addition, the mechanism of tricuspid pathology varies widely between patients, which can be due to primary, secondary, or a combination of causes, meaning that it is not possible for 1 type of device to be suitable for treatment of all cases of tricuspid valve disease. To best visualize the pathology, several modalities of advanced cardiac imaging are often required, including transthoracic echocardiography, transesophageal echocardiography, cardiac computed tomography, and cardiac magnetic resonance imaging, to best visualize the pathology. This detailed imaging provides important information for choosing the ideal transcatheter treatment options for patients with tricuspid valve disease, taking into account the need for the lifetime management of the patient. This review highlights the important background, anatomic considerations, therapeutic options, and future directions with regard to treatment of tricuspid valve disease.
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10
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Jønck S, Løk M, Durrer C, Wedell-Neergaard AS, Lehrskov LL, Legaard GE, Krogh-Madsen R, Rosenmeier J, Lund MAV, Pedersen BK, Ellingsgaard H, Berg RMG, Christensen RH. Exercise-induced changes in left ventricular strain are affected by interleukin-6 activity: An exploratory analysis of a randomised-controlled trial in humans with abdominal obesity. Exp Physiol 2024. [PMID: 38803062 DOI: 10.1113/ep091800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/02/2024] [Indexed: 05/29/2024]
Abstract
Whilst the exercise-induced myokine interleukin-6 (IL-6) plays a beneficial role in cardiac structural adaptations, its influence on exercise-induced functional cardiac outcomes remains unknown. We hypothesised that IL-6 activity is required for exercise-induced improvements in left ventricular global longitudinal strain (LV GLS). In an exploratory study 52 individuals with abdominal obesity were randomised to 12 weeks' high-intensity exercise or no exercise in combination with IL-6 receptor inhibition (IL-6i) or placebo. LV strain and volume measurements were assessed by cardiac magnetic resonance. Exercise improved LV GLS by -5.4% [95% CI: -9.1% to -1.6%] (P = 0.007). Comparing the change from baseline in LV GLS in the exercise + placebo group (-4.8% [95% CI: -7.4% to -2.2%]; P < 0.0004) to the exercise + IL-6i group (-1.1% [95% CI: -3.8% to 1.6%]; P = 0.42), the exercise + placebo group changed -3.7% [95% CI: -7.4% to -0.02%] (P = 0.049) more than the exercise + IL6i group. However, the interaction effect between exercise and IL-6i was insignificant (4.5% [95% CI: -0.8% to 9.9%]; P = 0.09). Similarly, the exercise + placebo group improved LV global circumferential strain by -3.1% [95% CI: -6.0% to -0.1%] (P = 0.04) more compared to the exercise + IL-6i group, yet we found an insignificant interaction between exercise and IL-6i (4.2% [95% CI: -1.8% to 10.3%]; P = 0.16). There was no effect of IL-6i on exercise-induced changes to volume rates. This study underscores the importance of IL-6 in improving LV GLS in individuals with abdominal obesity suggesting a role for IL-6 in cardiac functional exercise adaptations.
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Affiliation(s)
- Simon Jønck
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Mathilde Løk
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cody Durrer
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Anne-Sophie Wedell-Neergaard
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Dermatology and Allergy, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Louise Lang Lehrskov
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Grit Elster Legaard
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Rikke Krogh-Madsen
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Infectious Diseases, Copenhagen University Hospital - Hvidovre, Copenhagen, Denmark
| | - Jaya Rosenmeier
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Morten Asp Vonsild Lund
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bente Klarlund Pedersen
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Helga Ellingsgaard
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Ronan M G Berg
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Neurovascular Research Laboratory, Faculty of Life Sciences and Education, University of South Wales, Pontypridd, UK
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11
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Ma ZP, Wang SW, Xue LY, Zhang XD, Zheng W, Zhao YX, Yuan SR, Li GY, Yu YN, Wang JN, Zhang TL. A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease. BMC Med Imaging 2024; 24:124. [PMID: 38802736 PMCID: PMC11129462 DOI: 10.1186/s12880-024-01301-9] [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: 03/04/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The prevalence of hypertensive heart disease (HHD) is high and there is currently no easy way to detect early HHD. Explore the application of radiomics using cardiac magnetic resonance (CMR) non-enhanced cine sequences in diagnosing HHD and latent cardiac changes caused by hypertension. METHODS 132 patients who underwent CMR scanning were divided into groups: HHD (42), hypertension with normal cardiac structure and function (HWN) group (46), and normal control (NOR) group (44). Myocardial regions of the end-diastolic (ED) and end-systolic (ES) phases of the CMR short-axis cine sequence images were segmented into regions of interest (ROI). Three feature subsets (ED, ES, and ED combined with ES) were established after radiomic least absolute shrinkage and selection operator feature selection. Nine radiomic models were built using random forest (RF), support vector machine (SVM), and naive Bayes. Model performance was analyzed using receiver operating characteristic curves, and metrics like accuracy, area under the curve (AUC), precision, recall, and specificity. RESULTS The feature subsets included first-order, shape, and texture features. SVM of ED combined with ES achieved the highest accuracy (0.833), with a macro-average AUC of 0.941. AUCs for HHD, HWN, and NOR identification were 0.967, 0.876, and 0.963, respectively. Precisions were 0.972, 0.740, and 0.826; recalls were 0.833, 0.804, and 0.863, respectively; and specificities were 0.989, 0.863, and 0.909, respectively. CONCLUSIONS Radiomics technology using CMR non-enhanced cine sequences can detect early cardiac changes due to hypertension. It holds promise for future use in screening for latent cardiac damage in early HHD.
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Affiliation(s)
- Ze-Peng Ma
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
- Hebei Key Laboratory of Precise Imaging of Inflammation Related Tumors, Baoding, 071000, China
| | - Shi-Wei Wang
- College of Quality and Technical Supervision, Hebei University, Baoding, 071002, China
| | - Lin-Yan Xue
- College of Quality and Technical Supervision, Hebei University, Baoding, 071002, China
| | - Xiao-Dan Zhang
- Department of Ultrasound, Affiliated Hospital of Hebei University, 212 Yuhua East Road, Baoding, 071000, China.
| | - Wei Zheng
- College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China
| | - Yong-Xia Zhao
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
| | - Shuang-Rui Yuan
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
| | - Gao-Yang Li
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
| | - Ya-Nan Yu
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
| | - Jia-Ning Wang
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
| | - Tian-Le Zhang
- Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, China
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12
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Innocenzi A, Rangel I, Póvoa-Corrêa M, Parente DB, Perez R, Rodrigues RS, Fukuyama LT, Barroso JM, Oliveira Neto JA, Silvestre de Sousa A, Luiz RR, Barbosa RCP, Camargo GC, Moll-Bernardes R. Cardiac and Liver Fibrosis Assessed by Multiparametric MRI in Patients with Fontan Circulation. Pediatr Cardiol 2024:10.1007/s00246-024-03522-9. [PMID: 38771376 DOI: 10.1007/s00246-024-03522-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/06/2024] [Indexed: 05/22/2024]
Abstract
The abnormal hemodynamics in Fontan circulation due to persistently increased systemic venous pressure results in hepatic venous congestion and Fontan-associated liver disease. Combined assessment of cardiac and liver fibrosis and cardiac remodeling using multiparametric MRI in this context have not been fully explored. To evaluate cardiac and liver fibrosis and cardiac remodeling using multiparametric MRI in patients who have undergone Fontan procedures. Thirty-eight patients and 23 controls underwent cardiac and liver MRI examinations in a 3.0-T scanner. Mann-Whitney, Fisher exact test, and Spearman's correlation were applied to evaluate myocardial volumes, function, native cardiac and liver T1 mapping, ECVs and liver stiffness. The mean native cardiac T1 value (p = 0.018), cardiac ECV (p < 0.001), liver native T1 (p < 0.001), liver ECV (p < 0.001), and liver stiffness (p < 0.001) were higher in patients than controls. The indexed end-diastolic volume (EDVi) correlated with the myocardial ECV (r = 0.356; p = 0.033), native liver T1 (r = 0.571; p < 0.001), and with liver stiffness (r = 0.391; p = 0.015). In addition, liver stiffness correlated with liver ECV (r = 0.361; p = 0.031) and native liver T1 (r = 0.458; p = 0.004). An association between cardiac remodeling and cardiac and liver fibrosis were found in this population. The usefulness of MRI to follow cardiac and liver involvement in these patients is critical to improve treatment strategies and to prevent the need for combined liver and heart transplantation.
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Affiliation(s)
- Adriana Innocenzi
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Instituto Nacional de Cardiologia, Rio de Janeiro, RJ, Brazil
| | - Isabela Rangel
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Pro Criança Cardiaca, Rio de Janeiro, RJ, Brazil
- Clínica Cardiológica Infantil, Rio de Janeiro, RJ, Brazil
| | - Mariana Póvoa-Corrêa
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Macaé, RJ, Brazil
| | - Daniella Braz Parente
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Renata Perez
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Rosana Souza Rodrigues
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Lúcia Tomoko Fukuyama
- Pro Criança Cardiaca, Rio de Janeiro, RJ, Brazil
- Clínica Cardiológica Infantil, Rio de Janeiro, RJ, Brazil
| | - Julia Machado Barroso
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
| | - Jaime Araújo Oliveira Neto
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
| | - Andréa Silvestre de Sousa
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
- Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Ronir Raggio Luiz
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | | | - Gabriel Cordeiro Camargo
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil
- Instituto Nacional de Cardiologia, Rio de Janeiro, RJ, Brazil
| | - Renata Moll-Bernardes
- D'Or Institute for Research and Education (IDOR), Diniz Cordeiro, 30, Botafogo, Rio de Janeiro, RJ, 22281-100, Brazil.
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Reiter T, Weiss I, Weber OM, Bauer WR. Three-dimensional assessment of image distortion induced by active cardiac implants in 3.0T CMR. Sci Rep 2024; 14:11130. [PMID: 38750100 PMCID: PMC11096309 DOI: 10.1038/s41598-024-61283-0] [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: 09/13/2023] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
CMR at 3.0T in the presence of active cardiac implants remains a challenge due to susceptibility artifacts. Beyond a signal void that cancels image information, magnetic field inhomogeneities may cause distorted appearances of anatomical structures. Understanding influencing factors and the extent of distortion are a first step towards optimizing the image quality of CMR with active implants at 3.0T. All measurements were obtained at a clinical 3.0T scanner. An in-house designed phantom with a 3D cartesian grid of water filled spheres was used to analyze the distortion caused by four representative active cardiac devices (cardiac loop recorder, pacemaker, 2 ICDs). For imaging a gradient echo (3D-TFE) sequence and a turbo spin echo (2D-TSE) sequence were used. The work defines metrics to quantify the different features of distortion such as changes in size, location and signal intensity. It introduces a specialized segmentation technique based on a reaction-diffusion-equation. The distortion features are dependent on the amount of magnetic material in the active implants and showed a significant increase when measured with the 3D TFE compared to the 2D TSE. This work presents a quantitative approach for the evaluation of image distortion at 3.0T caused by active cardiac implants and serves as foundation for both further optimization of sequences and devices but also for planning of imaging procedures.
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Affiliation(s)
- Theresa Reiter
- Department of Internal Medicine I, Cardiology, University Hospital Wuerzburg, Oberduerbacher Strasse 6a, 97080, Wuerzburg, Germany.
- German Heart Center Munich, Electrophysiology, Munich, Germany.
| | | | | | - Wolfgang R Bauer
- Department of Internal Medicine I, Cardiology, University Hospital Wuerzburg, Oberduerbacher Strasse 6a, 97080, Wuerzburg, Germany
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14
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Kollmann A, Lohr D, Ankenbrand MJ, Bille M, Terekhov M, Hock M, Elabyad I, Baltes S, Reiter T, Schnitter F, Bauer WR, Hofmann U, Schreiber LM. Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility. Sci Rep 2024; 14:11009. [PMID: 38744988 PMCID: PMC11094053 DOI: 10.1038/s41598-024-61417-4] [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: 04/13/2023] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Cardiac magnetic resonance (CMR) imaging allows precise non-invasive quantification of cardiac function. It requires reliable image segmentation for myocardial tissue. Clinically used software usually offers automatic approaches for this step. These are, however, designed for segmentation of human images obtained at clinical field strengths. They reach their limits when applied to preclinical data and ultrahigh field strength (such as CMR of pigs at 7 T). In our study, eleven animals (seven with myocardial infarction) underwent four CMR scans each. Short-axis cine stacks were acquired and used for functional cardiac analysis. End-systolic and end-diastolic images were labelled manually by two observers and inter- and intra-observer variability were assessed. Aiming to make the functional analysis faster and more reproducible, an established deep learning (DL) model for myocardial segmentation in humans was re-trained using our preclinical 7 T data (n = 772 images and labels). We then tested the model on n = 288 images. Excellent agreement in parameters of cardiac function was found between manual and DL segmentation: For ejection fraction (EF) we achieved a Pearson's r of 0.95, an Intraclass correlation coefficient (ICC) of 0.97, and a Coefficient of variability (CoV) of 6.6%. Dice scores were 0.88 for the left ventricle and 0.84 for the myocardium.
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Affiliation(s)
- Alena Kollmann
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - David Lohr
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany.
| | - Markus J Ankenbrand
- Faculty of Biology, Center for Computational and Theoretical Biology (CCTB), University of Würzburg, Würzburg, Germany
| | - Maya Bille
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - Maxim Terekhov
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - Michael Hock
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - Ibrahim Elabyad
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - Steffen Baltes
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
| | - Theresa Reiter
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Florian Schnitter
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Wolfgang R Bauer
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Ulrich Hofmann
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Laura M Schreiber
- Comprehensive Heart Failure Center (CHFC), Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Würzburg, Germany
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15
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Kirschfink A, Frick M, Al Ateah G, Kneizeh K, Alnaimi A, Dettori R, Schuett K, Marx N, Altiok E. Evaluation of the Truncated Cone-Rhomboid Pyramid Formula for Simplified Right Ventricular Quantification: A Cardiac Magnetic Resonance Study. J Clin Med 2024; 13:2850. [PMID: 38792392 PMCID: PMC11121834 DOI: 10.3390/jcm13102850] [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: 04/12/2024] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
Background/Objective: Cardiac magnetic resonance (CMR) is the reference method for right ventricular (RV) volume and function analysis, but time-consuming manual segmentation and corrections of imperfect automatic segmentations are needed. This study sought to evaluate the applicability of an echocardiographically established truncated cone-rhomboid pyramid formula (CPF) for simplified RV quantification using CMR. Methods: A total of 70 consecutive patients assigned to RV analysis using CMR were included. As standard method, the manual contouring of RV-short axis planes was performed for the measurement of end-diastolic volume (EDV) and end-systolic volume (ESV). Additionally, two linear measurements in four-chamber views were obtained in systole and diastole: basal diameters at the level of tricuspid valve (Dd and Ds) and baso-apical lengths from the center of tricuspid valve to the RV apex (Ld and Ls) were measured for the calculation of RV-EDV = 1.21 × Dd2 × Ld and RV-ESV = 1.21 × Ds 2 × Ls using CPF. Results: RV volumes using CPF were slightly higher than those using standard CMR analysis (RV-EDV index: 86.2 ± 29.4 mL/m2 and RV-ESV index: 51.5 ± 22.5 mL/m2 vs. RV-EDV index: 81.7 ± 24.1 mL/m2 and RV-ESV index: 44.5 ± 23.2 mL/m2) and RV-EF was lower (RV-EF: 41.1 ± 13.5% vs. 48.4 ± 13.7%). Both methods had a strong correlation of RV volumes (ΔRV-EDV index = -4.5 ± 19.0 mL/m2; r = 0.765, p < 0.0001; ΔRV-ESV index = -7.0 ± 14.4 mL/m2; r = 0.801, p < 0.0001). Conclusions: Calculations of RV volumes and function using CPF assuming the geometrical model of a truncated cone-rhomboid pyramid anatomy of RV is feasible, with a strong correlation to measurements using standard CMR analysis, and only two systolic and diastolic linear measurements in four-chamber views are needed.
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Affiliation(s)
- Annemarie Kirschfink
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Michael Frick
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Ghazi Al Ateah
- Department of Cardiology, Nephrology and Internal Intensive Care Medicine, Rhein-Maas Klinikum, Mauerfeldchen 25, 52146 Wuerselen, Germany
| | - Kinan Kneizeh
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Anas Alnaimi
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Rosalia Dettori
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Katharina Schuett
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Nikolaus Marx
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Ertunc Altiok
- Department of Cardiology, Angiology and Intensive Care, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany
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16
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Werner O, Martins D, Bertini F, Bennati E, Collia D, Olivotto I, Spaziani G, Baruteau AE, Pedrizzetti G, Raimondi F. Comparative analysis of left ventricle function and deformation imaging in short and long axis plane in cardiac magnetic resonance imaging. Front Cardiovasc Med 2024; 11:1388171. [PMID: 38756751 PMCID: PMC11097778 DOI: 10.3389/fcvm.2024.1388171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Background Advancements in cardiac imaging have revolutionized our understanding of ventricular contraction. While ejection fraction (EF) is still the gold standard parameter to assess left ventricle (LV) function, strain imaging (SI) has provided valuable insights into ventricular mechanics. The lack of an integrative method including SI parameters in a single, validated formula may limit its use. Our aim was to compare different methods for evaluating global circumferential strain (GCS) and their relationship with global longitudinal strain (GLS) and EF in CMR and how the different evaluations fit in the theoretical relationship between EF and global strain. Methods Retrospective monocenter study. Inclusion of every patient who underwent a CMR during a 15 months period with various clinical indication (congenital heart defect, myocarditis, cardiomyopathy). A minimum of three LV long-axis planes and a stack of short-axis slices covering the LV using classical steady-state free precession cine sequences. A single assessment of GLS on long axis (LAX) slices and a double assessment of GCS and EF with both short axis (SAX) and LAX slices were made by a single experienced CMR investigator. Results GCS-SAX and GCS-LAX were correlated (r = 0.77, P < 0.001) without being interchangeable with a high reproducibility for GCS, GLS and EF. EF calculated from LAX images showed an overestimation compared to EF derived from SAX images of 7%. The correlation between calculated EF and theoretical EF derived from SI was high (r = 0.88 with EF-SAX, 0.95 with EF-LAX). Data conclusion This study highlights the need to integrate strain imaging techniques into clinical by incorporating strain parameters into EF calculations, because it gives a deeper understanding of cardiac mechanics.
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Affiliation(s)
- Oscar Werner
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
- Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, CHU Nantes, Nantes, France
| | - Duarte Martins
- Pediatric and Adult Congenital Cardiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Federico Bertini
- Pediatric Radiology Department, University Hospital Meyer, Florence, Italy
| | - Elena Bennati
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Dario Collia
- Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Iacopo Olivotto
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Gaia Spaziani
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Alban-Elouen Baruteau
- Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, CHU Nantes, Nantes, France
| | - Gianni Pedrizzetti
- Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Francesca Raimondi
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
- Pediatric and Adult Congenital Cardiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
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Jia SQ, Lv SY, Jin YH, Zhao Y, Tian LP, Chang MM, Yan CL, Qi XL. Cardiac MRI for clinical dilated cardiomyopathy: Improved diagnostic power via combined T1, T2, and ECV. Radiography (Lond) 2024; 30:926-931. [PMID: 38657385 DOI: 10.1016/j.radi.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/26/2024]
Abstract
INTRODUCTION Early diagnosis of patients with dilated cardiomyopathy (DCM) remains challenging. Cardiac MR can correlate myocardial changes with their pathological basis. There have been some previous studies on the effect of T1 mapping in DCM, but there is limited data on the incremental value of T2 mapping for DCM in routine clinical practice. This study will examine whether the combination of MRI T1 and T2 mapping offers greater advantages in the diagnosis of DCM. METHODS The study included 28 patients with DCM and 21 healthy controls. CMR evaluation included late gadolinium enhancement (LGE), T1 mapping, extracellular volume (ECV) fraction and T2 mapping. The DCM group was divided into LGE (+) and LGE (-) subgroups. The main modes of LGE are subendocardial, midwall, subepicardial, or transmural. T1 values, T2 values, and ECV in the 16 segments myocardial levels were measured by post-processing software. Student's t-tests or Mann-Whitney U test was used to compare between two groups, and one-way ANOVA or Kruskal-Wallis H test was used to compare between multiple groups, with p values corrected by Bonferroni. The difference was considered statistically significant at P < 0.05. ROC curve analysis was used to compare the area under the curve (AUC) of each index and its combined value, and the cut-off value, sensitivity and specificity were determined by Jordan's index. RESULTS Mean native myocardial T1, ECV and T2 were significantly higher in the DCM group compared to controls (p ≤ 0.001, respectively). The best cut-off values for T1, T2 and ECV to discriminate DCM from controls were 1184 ms, 40.9 ms and 29.2%, respectively. The AUC of T1, ECV and T2 were 0.87, 0.89, and 0.83, respectively. The combined AUC of the three values was 0.96. CONCLUSION Native T1 value and ECV overcome some of the limitations of LGE, and the T2 helps to understand the extent of myocardial damage. The combination of T1 and T2 mapping techniques can reveal fibrotic and oedematous changes in the early stages of DCM, providing a more comprehensive assessment of DCM and better guidance for individualised clinical management of patients. IMPLICATIONS FOR PRACTICE We suggest that the addition of T2 mapping to the routine CMR examination of patients with suspected DCM, and the combined assessment of T1mapping and T2 mapping can provide complementary information about the disease and improve the early diagnosis of DCM.
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Affiliation(s)
- S-Q Jia
- Department of Clinical Medicine, Jining Medical University, Jining 272000, Shandong, China
| | - S-Y Lv
- Department of Clinical Medicine, Jining Medical University, Jining 272000, Shandong, China
| | - Y-H Jin
- Department of Radiology, Chenzhou First People's Hospital, Chenzhou 423000, Hunan, China
| | - Y Zhao
- Department of Clinical Medicine, Jining Medical University, Jining 272000, Shandong, China
| | - L-P Tian
- Department of Radiology, Jining First People's Hospital Affiliated to Shandong First Medical University, Jining 272000, Shandong, China
| | - M-M Chang
- Department of Radiology, Jining First People's Hospital Affiliated to Shandong First Medical University, Jining 272000, Shandong, China
| | - C-L Yan
- Department of Radiology, Jining First People's Hospital Affiliated to Shandong First Medical University, Jining 272000, Shandong, China.
| | - X-L Qi
- Department of Radiology, Jining First People's Hospital Affiliated to Shandong First Medical University, Jining 272000, Shandong, China.
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Saeed M, Bersali A, Darwish A, Qamar F, Maragiannis D, El-Tallawi KC, Malahfji M, Shah DJ. Assessing Regurgitation Severity, Adverse Remodeling, and Fibrosis with CMR in Aortic Regurgitation. Curr Cardiol Rep 2024; 26:413-421. [PMID: 38517604 DOI: 10.1007/s11886-024-02044-3] [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] [Accepted: 03/15/2024] [Indexed: 03/24/2024]
Abstract
PURPOSE OF REVIEW Cardiac magnetic resonance (CMR) is emerging as a valuable imaging modality for the assessment of aortic regurgitation (AR). In this review, we discuss the assessment of AR severity, left ventricular (LV) remodeling, and tissue characterization by CMR while highlighting the latest studies and addressing future research needs. RECENT FINDINGS Recent studies have further established CMR-based thresholds of AR severity and LV remodeling that are associated with adverse clinical outcomes, and lower than current guideline criteria. In addition, tissue profiling with late gadolinium enhancement (LGE) and extracellular volume (ECV) quantification can reliably assess adverse myocardial tissue remodeling which is also associated with adverse outcomes. The strengths and reproducibility of CMR in evaluating ventricular volumes, tissue characteristics, and regurgitation severity position it as an excellent modality in evaluating and following AR patients. Advanced CMR techniques for the detection of tissue remodeling have shown significant potential and merit further investigation.
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Affiliation(s)
- Mujtaba Saeed
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Akila Bersali
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Amr Darwish
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Fatima Qamar
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Dimitrios Maragiannis
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Kinan Carlos El-Tallawi
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Maan Malahfji
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Dipan J Shah
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA.
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Rahi W, Hussain I, Quinones MA, Zoghbi WA, Shah DJ, Nagueh SF. Noninvasive Prediction of Pulmonary Capillary Wedge Pressure in Patients With Normal Left Ventricular Ejection Fraction: Comparison of Cardiac Magnetic Resonance With Comprehensive Echocardiography. J Am Soc Echocardiogr 2024; 37:486-494. [PMID: 38354759 DOI: 10.1016/j.echo.2024.02.001] [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: 01/20/2024] [Revised: 01/28/2024] [Accepted: 02/04/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) was recently reported to predict mean pulmonary capillary wedge pressure (PCWP). However, there is a paucity of data on its accuracy for estimation of PCWP in patients with normal left ventricular (LV) ejection fraction (EF). We sought to examine its accuracy against the invasive gold standard and to compare it with the accuracy of comprehensive echocardiography. METHODS Stable patients with EF of ≥50% who underwent right heart catheterization, CMR, and echocardiographic imaging within 1 week were included. Pulmonary capillary wedge pressure was estimated by CMR using a previously validated equation where PCWP is estimated based on the left atrial maximum volume and LV mass. Echocardiographic estimation of PCWP was based on 2016 American Society of Echocardiography/European Association of Cardiovascular Imaging guidelines, taking into account the presence of myocardial disease. RESULTS The mean age of the 79 patients was 55 ± 15 years, and 58.2% were female. There were 33 patients with PCWP >15 mm Hg by right heart catheterization. Cardiac magnetic resonance prediction of PCWP had an area under the curve (AUC) = 0.72. In comparison, echocardiographic prediction of PCWP showed a higher accuracy (AUC = 0.87 vs AUC = 0.72; P = .008). CONCLUSIONS In patients with normal LV EF, CMR estimation of mean PCWP based on LV mass and left atrial volume has modest accuracy for detecting patients with mean PCWP >15 mm Hg. Comprehensive echocardiography predicts elevated PCWP with higher accuracy in comparison with CMR.
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Affiliation(s)
- Wissam Rahi
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Imad Hussain
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Miguel A Quinones
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - William A Zoghbi
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Dipan J Shah
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Sherif F Nagueh
- Department of Cardiology, Methodist DeBakey Heart and Vascular Center, Houston, Texas.
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20
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Xu K, Xu R, Xu HY, Xie LJ, Yang ZG, Fu H, Bai W, Zhang L, Zhou XY, Guo YK. Free-Breathing Compressed Sensing Cine Cardiac MRI for Assessment of Left Ventricular Strain by Feature Tracking in Children. J Magn Reson Imaging 2024; 59:1832-1840. [PMID: 37681476 DOI: 10.1002/jmri.29003] [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: 02/22/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Cardiac MRI feature-tracking (FT) with breath-holding (BH) cine balanced steady state free precession (bSSFP) imaging is well established. It is unclear whether FT-strain measurements can be reliably derived from free-breathing (FB) compressed sensing (CS) bSSFP imaging. PURPOSE To compare left ventricular (LV) strain analysis and image quality of an FB CS bSSFP cine sequence with that of a conventional BH bSSFP sequence in children. STUDY TYPE Prospective. SUBJECTS 40 children able to perform BHs (cohort 1 [12.1 ± 2.2 years]) and 17 children unable to perform BHs (cohort 2 [5.2 ± 1.8 years]). FIELD STRENGTH/SEQUENCE 3T, bSSFP sequence with and without CS. ASSESSMENT Acquisition times and image quality were assessed. LV myocardial deformation parameters were compared between BH cine and FB CS cine studies in cohort 1. Strain indices and image quality of FB CS cine studies were also assessed in cohort 2. Intraobserver and interobserver variability of strain parameters was determined. STATISTICAL TESTS Paired t-test, Wilcoxon signed-rank test, intraclass correlation coefficient (ICC), and Bland-Altman analysis. A P-value <0.05 was considered statistically significant. RESULTS In cohort 1, the mean acquisition time of the FB CS cine study was significantly lower than for conventional BH cine study (15.6 s vs. 209.4 s). No significant difference were found in global circumferential strain rate (P = 0.089), global longitudinal strain rate (P = 0.366) and EuroCMR image quality scores (P = 0.128) between BH and FB sequences in cohort 1. The overall image quality score of FB CS cine in cohort 2 was 3.5 ± 0.5 with acquisition time of 14.7 ± 2.1 s. Interobserver and intraobserver variabilities were good to excellent (ICC = 0.810 to 0.943). DATA CONCLUSION FB CS cine imaging may be a promising alternative technique for strain assessment in pediatric patients with poor BH ability. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Ke Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Rong Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hua-Yan Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lin-Jun Xie
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Fu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Wei Bai
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lu Zhang
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiao-Yue Zhou
- Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
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21
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Wang J, Zhang J, Pu L, Qi W, Xu Y, Wan K, Zhu Y, Gkoutos GV, Han Y, Chen Y. The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy. JACC. ASIA 2024; 4:389-399. [PMID: 38765656 PMCID: PMC11099820 DOI: 10.1016/j.jacasi.2024.01.005] [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: 07/05/2023] [Revised: 12/11/2023] [Accepted: 01/07/2024] [Indexed: 05/22/2024]
Abstract
Background The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear. Objectives This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM. Methods A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively. Results A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy (≥4.06) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent (<15%). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent (≥15%), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis. Conclusions LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094).
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Affiliation(s)
- Jie Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Jinquan Zhang
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Lutong Pu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Weitang Qi
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuanwei Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ke Wan
- Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanjie Zhu
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Georgios V. Gkoutos
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
- Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- Health Data Research UK (HDR), Midlands Site, Birmingham, United Kingdom
| | - Yuchi Han
- Cardiovascular Division, Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Center of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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22
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Wang YRJ, Yang K, Wen Y, Wang P, Hu Y, Lai Y, Wang Y, Zhao K, Tang S, Zhang A, Zhan H, Lu M, Chen X, Yang S, Dong Z, Wang Y, Liu H, Zhao L, Huang L, Li Y, Wu L, Chen Z, Luo Y, Liu D, Zhao P, Lin K, Wu JC, Zhao S. Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging. Nat Med 2024; 30:1471-1480. [PMID: 38740996 PMCID: PMC11108784 DOI: 10.1038/s41591-024-02971-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 04/03/2024] [Indexed: 05/16/2024]
Abstract
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However, its widespread application has been limited by the heavy resource burden of CMR interpretation. Here, to address this challenge, we developed and validated computerized CMR interpretation for screening and diagnosis of 11 types of CVD in 9,719 patients. We propose a two-stage paradigm consisting of noninvasive cine-based CVD screening followed by cine and late gadolinium enhancement-based diagnosis. The screening and diagnostic models achieved high performance (area under the curve of 0.988 ± 0.3% and 0.991 ± 0.0%, respectively) in both internal and external datasets. Furthermore, the diagnostic model outperformed cardiologists in diagnosing pulmonary arterial hypertension, demonstrating the ability of artificial intelligence-enabled CMR to detect previously unidentified CMR features. This proof-of-concept study holds the potential to substantially advance the efficiency and scalability of CMR interpretation, thereby improving CVD screening and diagnosis.
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Affiliation(s)
| | - Kai Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Wen
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Pengcheng Wang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Yuepeng Hu
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | - Yongfan Lai
- School of Engineering, University of Science and Technology of China, Hefei, China
| | - Yufeng Wang
- Department of Computer Science, Stony Brook University, New York, NY, USA
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Siyi Tang
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Angela Zhang
- School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine (Division of Cardiology), Stanford University, Stanford, CA, USA
| | - Huayi Zhan
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiuyu Chen
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shujuan Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhixiang Dong
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yining Wang
- Peking Union Medical College Hospital, Beijing, China
| | - Hui Liu
- Guangdong Provincial People's Hospital, Guangzhou, China
| | - Lei Zhao
- Beijing Anzhen Hospital, Beijing, China
| | | | - Yunling Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Zixian Chen
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Yi Luo
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Dongbo Liu
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Pengbo Zhao
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA
| | - Keldon Lin
- Mayo Clinic Alix School of Medicine, Phoenix, AZ, USA
| | - Joseph C Wu
- School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine (Division of Cardiology), Stanford University, Stanford, CA, USA
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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23
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Ruperti-Repilado FJ, Haag N, Fischer T, Santos Lopes B, Meier L, Wustmann K, Bonassin F, Attenhofer Jost C, Schwitz F, Schwerzmann M, Tobler D, von Felten S, Greutmann M. Impact of pulmonary valve replacement on ventricular function and cardiac events in patients with tetralogy of Fallot. A retrospective cohort study. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2024; 77:408-417. [PMID: 38048843 DOI: 10.1016/j.rec.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/15/2023] [Indexed: 12/06/2023]
Abstract
INTRODUCTION AND OBJECTIVES Our aim was to assess the impact of prosthetic pulmonary valve replacement (PVR) in patients with repaired tetralogy of Fallot (rTOF) on changes in biventricular volumes and function and on adverse cardiac events. METHODS Adults with rTOF were identified from the SACHER-registry. Data from serial cardiac magnetic resonance imaging, echocardiography, exercise capacity and n-terminal pro b-type natriuretic peptide (NT-proBNP) were collected. The primary endpoint was right ventricular ejection fraction (RVEF) as measured by cardiac magnetic resonance. Secondary endpoints were biventricular volumes, left ventricular ejection fraction, exercise capacity and NT-proBNP levels, and time to adverse cardiac outcomes (atrial and ventricular arrhythmia, endocarditis). Associations between previous PVR and longitudinal changes in functional outcomes and time to adverse cardiac outcomes were analyzed using linear mixed-effects models and Cox proportional hazards models, respectively. RESULTS A total of 308 patients (153 with and 155 without PVR) with 887 study visits were analyzed. Previous PVR was not significantly associated with changes in RVEF (CE, -1.33; 95%CI, -5.87 to 3.21; P=.566). Previous PVR was associated with lower right ventricular end-diastolic volume but had no significant effect on left ventricular ejection fraction, exercise capacity, or NT-proBNP-levels. Previous PVR was associated with an increased hazard of atrial arrhythmias (HR, 2.09; 95%CI, 1.17-3.72; P=.012) and infective endocarditis (HR, 12.72; 95%CI, 4.69-34.49; P<.0001) but not with an increased hazard of sustained ventricular arrhythmias (HR, 0.64; 95%CI, 0.18-2.27; P=.490). CONCLUSIONS Previous PVR was not significantly associated with changes in RVEF but was associated with an increased risk of atrial arrhythmias and infective endocarditis.
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Affiliation(s)
| | - Nora Haag
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Fischer
- Master Program in Biostatistics, University of Zurich, Switzerland
| | - Bruno Santos Lopes
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Radiology, University Children's Hospital, University of Zurich, Zurich, Switzerland
| | - Lukas Meier
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kerstin Wustmann
- Department of Cardiology, University Hospital Inselspital, University of Bern, Bern, Switzerland
| | - Francesca Bonassin
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christine Attenhofer Jost
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Fabienne Schwitz
- Department of Cardiology, University Hospital Inselspital, University of Bern, Bern, Switzerland
| | - Markus Schwerzmann
- Department of Cardiology, University Hospital Inselspital, University of Bern, Bern, Switzerland
| | - Daniel Tobler
- Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland. https://twitter.com/@DDaniel_Tobler
| | - Stefanie von Felten
- Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Matthias Greutmann
- Adult Congenital Heart Disease Program, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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24
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Holmberg E, Tamás É, Nylander E, Engvall J, Granfeldt H. Right ventricular function in severe aortic stenosis assessed by echocardiography and MRI. Clin Physiol Funct Imaging 2024; 44:211-219. [PMID: 37984438 DOI: 10.1111/cpf.12867] [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: 12/16/2022] [Revised: 08/12/2023] [Accepted: 11/14/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND The prevalence of aortic valve stenosis (AS) is increasing due to an ageing population. Despite that right ventricular function has prognostic value for postoperative outcome, the right ventricle (RV) is not extensively studied and often not routinely assessed in AS. Our aim was to explore the relation between severe AS and RV function in a surgical aortic valve replacement (SAVR) cohort, comparing two imaging modalities for RV evaluation. METHODS Patients with severe AS, underwent cardiovascular magnetic resonance imaging (CMR) and transthoracic echocardiography (TTE) before SAVR. RV dysfunction was defined as one or more of the following: tricuspid annular plane systolic excursion (TAPSE) < 17 mm, RV free wall strain (RVFWS) > -20% by TTE and RV ejection fraction (RVEF) <50% by CMR. RESULTS Sixteen (33%) patients were found to have RV dysfunction. Patients with RV dysfunction showed significantly lower indexed aortic valve area, left ventricular (LV) ejection fraction as well as RV and LV stroke volumes compared to patients with maintained RV function. All patients with reduced RVEF also had changes in TAPSE or RVFWS and a larger number of patients had a reduced longitudinal RV function despite a normal RVEF. CONCLUSION In a SAVR cohort one-third of the patients had RV dysfunction, defined by RVEF, TAPSE or RVFW strain. Echocardiography detected subtle changes in RV function before RVEF was reduced. It is likely that the more pronounced the AS, the more frequent the occurrence of RV dysfunction.
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Affiliation(s)
- Erica Holmberg
- Department of Thoracic and Cardiovascular Surgery, Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Éva Tamás
- Department of Thoracic and Cardiovascular Surgery, Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Eva Nylander
- Department of Clinical Physiology, Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Jan Engvall
- Department of Clinical Physiology, Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Hans Granfeldt
- Department of Thoracic and Cardiovascular Surgery, Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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25
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Vos JL, Lemmers JMJ, El Messaoudi S, Snoeren M, van Dijk APJ, Duijnhouwer AL, Rodwell L, van Leuven SI, Post MC, Vonk MC, Nijveldt R. Peripheral microvascular function is linked to cardiac involvement on cardiovascular magnetic resonance in systemic sclerosis-related pulmonary arterial hypertension. Eur Heart J Cardiovasc Imaging 2024; 25:708-717. [PMID: 38170546 PMCID: PMC11057940 DOI: 10.1093/ehjci/jeae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
AIMS Systemic sclerosis (SSc) is characterized by vasculopathy, inflammation, and fibrosis, and carries one of the worst prognoses if patients also develop pulmonary arterial hypertension (PAH). Although PAH is a known prognosticator, patients with SSc-PAH demonstrate disproportionately high mortality, presumably due to cardiac involvement. In this cross-sectional study, the relationship between cardiac involvement revealed by cardiovascular magnetic resonance (CMR) and systemic microvascular disease severity measured with nailfold capillaromicroscopy (NCM) in patients with SSc-PAH is evaluated and compared with patients with idiopathic PAH (IPAH). METHODS AND RESULTS Patients with SSc-PAH and IPAH underwent CMR, echocardiography, and NCM with post-occlusive reactivity hyperaemia (PORH) testing on the same day. CMR imaging included T2 (oedema), native, and post-contrast T1 mapping to measure the extracellular volume fraction (ECV, fibrosis) and adenosine-stress-perfusion imaging measuring the relative myocardial upslope (microvascular coronary perfusion). Measures of peripheral microvascular function were related to CMR indices of oedema, fibrosis, and myocardial perfusion. SSc-PAH patients (n = 20) had higher T2 values and a trend towards a higher ECV, compared with IPAH patients (n = 5), and a lower nailfold capillary density (NCD) and reduced capillary recruitment after PORH. NCD correlated with ECV and T2 (r = -0.443 and -0.464, respectively, P < 0.05 for both) and with markers of diastolic dysfunction on echocardiography. PORH testing, but not NCD, correlated with the relative myocardial upslope (r = 0.421, P < 0.05). CONCLUSION SSc-PAH patients showed higher markers of cardiac fibrosis and inflammation, compared with IPAH patients. These markers correlated well with peripheral microvascular dysfunction, suggesting that SSc-driven inflammation and vasculopathy concurrently affect peripheral microcirculation and the heart. This may contribute to the disproportionate high mortality in SSc-PAH.
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Affiliation(s)
- Jacqueline L Vos
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Jacqueline M J Lemmers
- Department of Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Saloua El Messaoudi
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Miranda Snoeren
- Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arie P J van Dijk
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Anthonie L Duijnhouwer
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Laura Rodwell
- Department of Health Evidence, Section Biostatistics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sander I van Leuven
- Department of Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martijn C Post
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Madelon C Vonk
- Department of Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
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26
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Chung H, Seo J, Kim IS, Park CH, Kim JY, Min PK, Yoon YW, Lee BK, Kim TH, Hong BK, Rim SJ, Kwon HM, Choi EY. Determinants and effects of microvascular obstruction on serial change in left ventricular diastolic function after reperfused acute myocardial infarction. Front Cardiovasc Med 2024; 11:1338940. [PMID: 38766305 PMCID: PMC11100411 DOI: 10.3389/fcvm.2024.1338940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/12/2024] [Indexed: 05/22/2024] Open
Abstract
Background Although left ventricular (LV) diastolic dysfunction is more related to functional capacity after acute myocardial infarction (AMI), the determinants of LV diastolic functional change after reperfused AMI remain unknown. This study aimed to investigate the effects of microvascular obstruction (MVO) on mid-term changes in LV diastolic function after reperfused AMI. Methods In a cohort of 72 AMI patients who underwent successful revascularization, echocardiography and cardiovascular magnetic resonance imaging were repeated at 9-month intervals. The late gadolinium enhancement (LGE) amount, segmental extracellular volume fraction, global LV, and left atrial (LA) phasic functions, along with mitral inflow and tissue Doppler measurements, were repeated. Results Among the included patients, 31 (43%) patients had MVO. During the 9-month interval, LV ejection fraction (EF) and LV global longitudinal strain (GLS) were significantly improved in accordance with a decrease in LGE amount (from 18.2 to 10.3 g, p < 0.001) and LV mass. The deceleration time (DT) of early mitral inflow (188.6 ms-226.3 ms, p < 0.001) and LV elastance index (Ed; 0.133 1/ml-0.127 1/ml, p = 0.049) were significantly improved, but not in conventional diastolic functional indexes. Their improvements occurred in both groups; however, the degree was less prominent in patients with MVO. The degree of decrease in LGE amount and increase in LVEF was significantly correlated with improvement in LV-Ed or LA phasic function, but not with conventional diastolic functional indexes. Conclusions In patients with reperfused AMI, DT of early mitral inflow, phasic LA function, and LV-Ed were more sensitive diastolic functional indexes. The degree of their improvement was less prominent in patients with MVO.
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Affiliation(s)
- Hyemoon Chung
- Division of Cardiology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Jiwon Seo
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - In-Soo Kim
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chul Hwan Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong-Youn Kim
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Pil-Ki Min
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Won Yoon
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Kwon Lee
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae-Hoon Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Bum-Kee Hong
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Se-Joong Rim
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyuck Moon Kwon
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eui-Young Choi
- Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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27
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Mėlinytė-Ankudavičė K, Šukys M, Kasputytė G, Krikštolaitis R, Ereminienė E, Galnaitienė G, Mizarienė V, Šakalytė G, Krilavičius T, Jurkevičius R. Association of uncertain significance genetic variants with myocardial mechanics and morphometrics in patients with nonischemic dilated cardiomyopathy. BMC Cardiovasc Disord 2024; 24:224. [PMID: 38664609 PMCID: PMC11044472 DOI: 10.1186/s12872-024-03888-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Careful interpretation of the relation between phenotype changes of the heart and gene variants detected in dilated cardiomyopathy (DCM) is important for patient care and monitoring. OBJECTIVE We sought to assess the association between cardiac-related genes and whole-heart myocardial mechanics or morphometrics in nonischemic dilated cardiomyopathy (NIDCM). METHODS It was a prospective study consisting of patients with NIDCM. All patients were referred for genetic testing and a genetic analysis was performed using Illumina NextSeq 550 and a commercial gene capture panel of 233 genes (Systems Genomics, Cardiac-GeneSGKit®). It was analyzed whether there are significant differences in clinical, two-dimensional (2D) echocardiographic, and magnetic resonance imaging (MRI) parameters between patients with the genes variants and those without. 2D echocardiography and MRI were used to analyze myocardial mechanics and morphometrics. RESULTS The study group consisted of 95 patients with NIDCM and the average age was 49.7 ± 10.5. All echocardiographic and MRI parameters of myocardial mechanics (left ventricular ejection fraction 28.4 ± 8.7 and 30.7 ± 11.2, respectively) were reduced and all values of cardiac chambers were increased (left ventricular end-diastolic diameter 64.5 ± 5.9 mm and 69.5 ± 10.7 mm, respectively) in this group. It was noticed that most cases of whole-heart myocardial mechanics and morphometrics differences between patients with and without gene variants were in the genes GATAD1, LOX, RASA1, KRAS, and KRIT1. These genes have not been previously linked to DCM. It has emerged that KRAS and KRIT1 genes were associated with worse whole-heart mechanics and enlargement of all heart chambers. GATAD1, LOX, and RASA1 genes variants showed an association with better cardiac function and morphometrics parameters. It might be that these variants alone do not influence disease development enough to be selective in human evolution. CONCLUSIONS Combined variants in previously unreported genes related to DCM might play a significant role in affecting clinical, morphometrics, or myocardial mechanics parameters.
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Affiliation(s)
- Karolina Mėlinytė-Ankudavičė
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, LT-50162, Lithuania.
| | - Marius Šukys
- Department of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, Kaunas, LT-50161, Lithuania
| | - Gabrielė Kasputytė
- Faculty of Informatics, Vytautas Magnus University, Kaunas, LT-44248, Lithuania
| | | | - Eglė Ereminienė
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, LT-50162, Lithuania
| | - Grytė Galnaitienė
- Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania
| | - Vaida Mizarienė
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania
| | - Gintarė Šakalytė
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, LT-50162, Lithuania
| | - Tomas Krilavičius
- Faculty of Informatics, Vytautas Magnus University, Kaunas, LT-44248, Lithuania
| | - Renaldas Jurkevičius
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania
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28
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Jahnke C, Darma A, Lindemann F, Oebel S, Hilbert S, Bode K, Stehning C, Smink J, Paetsch I. Electrophysiological cardiovascular MR: procedure-ready mesh model generation for interventional guidance based on non-selective excitation compressed sensing whole heart imaging. Sci Rep 2024; 14:8974. [PMID: 38637577 PMCID: PMC11026457 DOI: 10.1038/s41598-024-59230-0] [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: 10/19/2023] [Accepted: 04/08/2024] [Indexed: 04/20/2024] Open
Abstract
Fully CMR-guided electrophysiological interventions (EP-CMR) have recently been introduced but data on the optimal CMR imaging protocol are scarce. This study determined the clinical utility of 3D non-selective whole heart steady-state free precession imaging using compressed SENSE (nsWHcs) for automatic segmentation of cardiac cavities as the basis for targeted catheter navigation during EP-CMR cavo-tricuspid isthmus ablation. Fourty-two consecutive patients with isthmus-dependent right atrial flutter underwent EP-CMR radiofrequency ablations. nsWHcs succeeded in all patients (nominal scan duration, 98 ± 10 s); automatic segmentation/generation of surface meshes of right-sided cavities exhibited short computation times (16 ± 3 s) with correct delineation of right atrium, right ventricle, tricuspid annulus and coronary sinus ostium in 100%, 100%, 100% and 95%, respectively. Point-by-point ablation adhered to the predefined isthmus line in 62% of patients (26/42); activation mapping confirmed complete bidirectional isthmus block (conduction time difference, 136 ± 28 ms). nsWHcs ensured automatic and reliable 3D segmentation of targeted endoluminal cavities, multiplanar reformatting and image fusion (e.g. activation time measurements) and represented the basis for precise real-time active catheter navigation during EP-CMR ablations of isthmus-dependent right atrial flutter. Hence, nsWHcs can be considered a key component in order to advance EP-CMR towards the ultimate goal of targeted substrate-based ablation procedures.
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Affiliation(s)
- Cosima Jahnke
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Angeliki Darma
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Frank Lindemann
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Sabrina Oebel
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Sebastian Hilbert
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Kerstin Bode
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | | | - Jouke Smink
- Philips Research Laboratories, Best, The Netherlands
| | - Ingo Paetsch
- Department of Electrophysiology, HELIOS Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany.
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Guglielmo M, Penso M, Carerj ML, Giacari CM, Volpe A, Fusini L, Baggiano A, Mushtaq S, Annoni A, Cannata F, Cilia F, Del Torto A, Fazzari F, Formenti A, Frappampina A, Gripari P, Junod D, Mancini ME, Mantegazza V, Maragna R, Marchetti F, Mastroiacovo G, Pirola S, Tassetti L, Baessato F, Corino V, Guaricci AI, Rabbat MG, Rossi A, Rovera C, Costantini P, van der Bilt I, van der Harst P, Fontana M, Caiani EG, Pepi M, Pontone G. DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR. Atherosclerosis 2024:117549. [PMID: 38679562 DOI: 10.1016/j.atherosclerosis.2024.117549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/18/2024] [Accepted: 04/10/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND AND AIMS This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging. METHODS 730 consecutive patients [mean age: 63 ± 10 years; 616 men] who underwent stress CMR for known or suspected coronary artery disease were randomly divided into derivation (n = 365) and validation (n = 365) cohorts. MACE was defined as non-fatal myocardial infarction and cardiac deaths. A deep learning algorithm was developed and trained to quantify EAT volume from CMR. EAT volume was adjusted for height (EAT volume index). A composite CMR-based risk score by Cox analysis of the risk of MACE was created. RESULTS In the derivation cohort, 32 patients (8.7 %) developed MACE during a follow-up of 2103 days. Left ventricular ejection fraction (LVEF) < 35 % (HR 4.407 [95 % CI 1.903-10.202]; p<0.001), stress perfusion defect (HR 3.550 [95 % CI 1.765-7.138]; p<0.001), late gadolinium enhancement (LGE) (HR 4.428 [95%CI 1.822-10.759]; p = 0.001) and EAT volume index (HR 1.082 [95 % CI 1.045-1.120]; p<0.001) were independent predictors of MACE. In a multivariate Cox regression analysis, adding EAT volume index to a composite risk score including LVEF, stress perfusion defect and LGE provided additional value in MACE prediction, with a net reclassification improvement of 0.683 (95%CI, 0.336-1.03; p<0.001). The combined evaluation of risk score and EAT volume index showed a higher Harrel C statistic as compared to risk score (0.85 vs. 0.76; p<0.001) and EAT volume index alone (0.85 vs.0.74; p<0.001). These findings were confirmed in the validation cohort. CONCLUSIONS In patients with clinically indicated stress CMR, fully automated EAT volume measured by deep learning can provide additional prognostic information on top of standard clinical and imaging parameters.
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Affiliation(s)
- Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands; Department of Cardiology, Haga Teaching Hospital, The Hague, the Netherlands
| | - Marco Penso
- Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milano, Italy
| | - Maria Ludovica Carerj
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, Messina, Italy
| | - Carlo Maria Giacari
- Department of Valvular and Structural Interventional Cardiology, Centro Cardiologico, Monzino IRCCS, Milan, Italy
| | - Alessandra Volpe
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Laura Fusini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Italy
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Andrea Annoni
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Francesco Cannata
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Francesco Cilia
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Alberico Del Torto
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Fabio Fazzari
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Alberto Formenti
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Antonio Frappampina
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Paola Gripari
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Daniele Junod
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Maria Elisabetta Mancini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Valentina Mantegazza
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Italy
| | - Riccardo Maragna
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Francesca Marchetti
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Giorgio Mastroiacovo
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Sergio Pirola
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Luigi Tassetti
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Francesca Baessato
- Department of Cardiology, San Maurizio Regional Hospital, Bolzano, Italy
| | - Valentina Corino
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy
| | - Andrea Igoren Guaricci
- Department of Interdisciplinary Medicine Cardiology University Unit, University Hospital Polyclinic of Bari, Bari, Italy
| | - Mark G Rabbat
- Loyola University of Chicago, Chicago, IL, USA; Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | | | - Pietro Costantini
- Radiology Department, Ospedale Maggiore Della Carita' University Hospital, Novara, Italy
| | - Ivo van der Bilt
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands; Department of Cardiology, Haga Teaching Hospital, The Hague, the Netherlands
| | - Pim van der Harst
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands
| | - Marianna Fontana
- National Amyloidosis Centre, University College London, Royal Free Hospital, London, UK
| | - Enrico G Caiani
- Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milano, Italy; Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy
| | - Mauro Pepi
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
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Costa C, Moniati F. The Epidemiology of COVID-19 Vaccine-Induced Myocarditis. Adv Med 2024; 2024:4470326. [PMID: 38681683 PMCID: PMC11045291 DOI: 10.1155/2024/4470326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/26/2024] [Accepted: 03/28/2024] [Indexed: 05/01/2024] Open
Abstract
Background In December 2019, the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) led to the COVID-19 pandemic, with millions of deaths worldwide. Vaccine breakthroughs in late 2020 resulted in the authorization of COVID-19 vaccines. While these vaccines have demonstrated efficacy, evidence from vaccine safety monitoring systems around the globe supported a causal association between COVID-19 vaccines, in particular those using mRNA technology, i.e., Moderna's mRNA-1273 and Pfizer-BioNTech's BNT162b2, and myocarditis. Objective This paper aims to investigate the epidemiology of mRNA COVID-19 vaccine-induced myocarditis, including age, ethnicity, and gender associations with these vaccines. It also discusses the immunopathophysiological mechanisms of mRNA COVID-19 vaccine-associated myocarditis and outlines principles of diagnosis, clinical presentation, and management. Methods A literature review was conducted using PubMed, Embase, and Queen Mary University of London Library Services databases. Search terms included "myocarditis," "coronavirus disease 2019," "SARS-CoV-2," "mRNA Covid-19 vaccines," "Covid vaccine-associated myocarditis," "epidemiology," "potential mechanisms," "myocarditis diagnosis," and "myocarditis management." Results While the definite mechanism of mRNA COVID-19 vaccine-associated myocarditis remains ambiguous, potential mechanisms include molecular mimicry of spike proteins and activation of the adaptive immune response with dysregulated cytokine expression. Male predominance in COVID-19 vaccine-induced myocarditis may be attributed to sex hormones, variations in inflammatory reactions, coagulation states based on gender, and female-specific protective factors. Moreover, an analysis of diagnostic and management strategies reveals a lack of consensus on acute patient presentation management. Conclusion In contrast to viral infections that stand as the predominant etiological factor for myocarditis with more severe consequences, the mRNA COVID-19 vaccination elicits a mild and self-limiting manifestation of the condition. There is currently insufficient evidence to confirm the definite underlying mechanism of COVID-19 vaccine-associated myocarditis. Further research is needed to develop preventive and therapeutic solutions in this context.
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Affiliation(s)
| | - Foteini Moniati
- Queen Mary University of London, Barts and the London School of Medicine and Dentistry, London, UK
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31
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Gröschel J, Grassow L, van Dijck P, Bhoyroo Y, Blaszczyk E, Schulz-Menger J. Trajectories of functional and structural myocardial parameters in post-COVID-19 syndrome-insights from mid-term follow-up by cardiovascular magnetic resonance. Front Cardiovasc Med 2024; 11:1357349. [PMID: 38628318 PMCID: PMC11018885 DOI: 10.3389/fcvm.2024.1357349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction Myocardial tissue alterations in patients with post-Coronavirus disease 2019 syndrome (PCS) are often subtle and mild. Reports vary in the prevalence of non-ischemic and ischemic injuries as well as the extent of ongoing myocardial inflammation. The exact relevance of these myocardial alterations is not fully understood. This study aimed at describing the trajectories of myocardial alterations in PCS patients by mid-term follow-up with cardiovascular magnetic resonance (CMR). Methods This study entails a retrospective analysis of symptomatic PCS patients referred for follow-up CMR between August 2020 and May 2023 due to mildly affected or reduced left or right ventricular function (LV and RV, respectively) and structural myocardial alterations, e.g., focal and diffuse fibrosis, on baseline scans. Follow-up CMR protocol consisted of cine images and full coverage native T1 and T2 mapping. Baseline and follow-up scans were compared using t-tests or Wilcoxon tests. Post-hoc analysis was carried out in a subgroup based on the change of LV stroke volume (SV) between scans. Results In total, 43 patients [median age (interquartile range) 46 (37-56) years, 33 women] received follow-ups 347 (167-651) days after initial diagnosis. A decrease in symptoms was recorded on follow-ups (p < 0.03) with 23 patients being asymptomatic at follow-ups [symptomatic at baseline 43/43 (100%) vs. symptomatic at follow-up 21/43 (49%), p < 0.001]. Functional improvement was noted for LV-SV [83.3 (72.7-95.0) vs. 84.0 (77.0-100.3) ml; p = 0.045], global radial [25.3% (23.4%-27.9%) vs. 27.4% (24.4%-33.1%); p < 0.001], and circumferential strains [-16.5% (-17.5% to -15.6%) vs. -17.2% (-19.5% to -16.1%); p < 0.001]. In total, 17 patients had an LV-SV change >10% on follow-up scans (5 with a decrease and 12 with an increase), with LV-SV, RV-SV, and global longitudinal strain being discriminatory variables on baseline scans (p = 0.01, 0.02, and 0.04, respectively). T1- or T2-analysis revealed no changes, remaining within normal limits. Conclusion Symptomatic load as well as blood pressures decreased on follow-up. CMR did not detect significant changes in tissue parameters; however, volumetric, specifically LV-SV, and deformation indexes improved during mid-term follow-up.
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Affiliation(s)
- Jan Gröschel
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Deutsches Herzzentrum der Charité—Medical Heart Center of Charité and German Heart Institute Berlin, Klinik für Kardiologie, Angiologie und Intensivmedizin, Berlin, Germany
| | - Leonhard Grassow
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Phillip van Dijck
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
- Deutsches Herzzentrum der Charité—Medical Heart Center of Charité and German Heart Institute Berlin, Klinik für Kardiologie, Angiologie und Intensivmedizin, Berlin, Germany
| | - Yashraj Bhoyroo
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
| | - Edyta Blaszczyk
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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Emrich T, Wintersperger BJ, Greco FD, Suchá D, Natale L, Paar MH, Francone M. ESR Essentials: ten steps to cardiac MR-practice recommendations by ESCR. Eur Radiol 2024; 34:2140-2151. [PMID: 38379017 DOI: 10.1007/s00330-024-10605-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 02/22/2024]
Abstract
Cardiovascular MR imaging has become an indispensable noninvasive tool in diagnosing and monitoring a broad range of cardiovascular diseases. Key to its clinical success and efficiency are appropriate clinical indication triage, technical expertise, patient safety, standardized preparation and execution, quality assurance, efficient post-processing, structured reporting, and communication and clinical integration of findings. Technological advancements are driving faster, more accessible, and cost-effective approaches. This ESR Essentials article presents a ten-step guide for implementing a cardiovascular MR program, covering indication assessments, optimized imaging, post-processing, and detailed reporting. Future goals include streamlined protocols, improved tissue characterization, and automation for greater standardization and efficiency. CLINICAL RELEVANCE STATEMENT The growing clinical role of cardiovascular MR in risk assessment, diagnosis, and treatment planning highlights the necessity for radiologists to achieve expertise in this modality, advancing precision medicine and healthcare efficiency. KEY POINTS • Cardiovascular MR is essential in diagnosing and monitoring many acute and chronic cardiovascular pathologies. • Features such as technical expertise, quality assurance, patient safety, and optimized tailored imaging protocols, among others, are essential for a successful cardiovascular MR program. • Ongoing technological advances will push rapid multi-parametric cardiovascular MR, thus improving accessibility, patient comfort, and cost-effectiveness. KEY POINTS • Cardiovascular MR is essential in diagnosing and monitoring a wide array of cardiovascular pathologies (Level of Evidence: High). • A successful cardiovascular MR program depends on standardization (Level of Evidence: Low). • Future developments will increase the efficiency and accessibility of cardiovascular MR (Level of Evidence: Low).
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Affiliation(s)
- Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
- German Centre for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
| | - Bernd J Wintersperger
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, ON, Canada
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Fabio Domenico Greco
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Cardiovascular Magnetic Resonance Unit, Bristol Heart Institute, Bristol, UK
| | - Dominika Suchá
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Luigi Natale
- Department of Radiological Sciences - Institute of Radiology, Catholic University of Rome, "A. Gemelli" University Hospital, Rome, Italy
| | - Maja Hrabak Paar
- Department of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Croatia
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.
- IRCCS Humanitas Research Hospital, Milan, Italy.
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Wang J, Yang ZG, Fang H, Yan WF, Shen MT, Guo YK, Jiang L, Jiang Y, Min CY, Li Y. Biventricular Impairment and Ventricular Interdependence in Patients With Alcoholic Cardiomyopathy: Insights Through Cardiac Magnetic Resonance Imaging. J Magn Reson Imaging 2024. [PMID: 38558213 DOI: 10.1002/jmri.29350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 03/02/2024] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Alcoholic cardiomyopathy (ACM) can lead to progressive cardiac dysfunction and heart failure, but little is known about biventricular impairment and ventricular interdependence (VI) in ACM patients. PURPOSE To use cardiac MRI to investigate biventricular impairment and VI in ACM patients. STUDY TYPE Retrospective. POPULATION Forty-one male patients with ACM and 45 sex- and age-matched controls. FIELD STRENGTH/SEQUENCE 3.0 T/balanced steady-state free precession sequence, inversion recovery prepared echo-planar imaging sequence and phase-sensitive inversion recovery sequence. ASSESSMENT Biventricular structure, function, and global strain (encompassing peak strain [PS], peak systolic, and diastolic strain rate), PS of interventricular septal (IVS), microvascular perfusion (including upslope and time to maximum signal intensity [TTM]), late gadolinium enhancement (LGE), and baseline characteristics were compared between the controls and ACM patients. STATISTICAL TESTS Student's t-test, Mann-Whitney U test, Pearson's correlation, and multivariable linear regression models with a stepwise selection procedure. A two-tailed P value <0.05 was deemed as statistically significant. RESULTS Compared to control subjects, ACM patients showed significantly biventricular adverse remodeling, reduced left ventricle (LV) global upslope and prolonged global TTM, and the presence of LGE. ACM patients were characterized by a significant decline in all global strain within the LV, right ventricle (RV), and IVS compared with the controls. RV global PS was significantly associated with LV global PS and IVS PS in radial, circumferential, and longitudinal directions. Multivariable analyses demonstrated the longitudinal PS of IVS was significantly correlated with RV global radial PS (β = 0.614) and circumferential PS (β = 0.545). Additionally, RV global longitudinal PS (GLPS) was significantly associated with radial PS of IVS (β = -0.631) and LV GLPS (β = 1.096). DATA CONCLUSION ACM patients exhibited biventricular adverse structural alterations and impaired systolic and diastolic function. This cohort also showed reduced LV microvascular perfusion, the presence of LGE, and unfavorable VI. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Jin Wang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Han Fang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Meng-Ting Shen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chen-Yan Min
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Murayama M, Sugimori H, Yoshimura T, Kaga S, Shima H, Tsuneta S, Mukai A, Nagai Y, Yokoyama S, Nishino H, Nakamura J, Sato T, Tsujino I. Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension. Echocardiography 2024; 41:e15812. [PMID: 38634241 DOI: 10.1111/echo.15812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/10/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in right ventricular (RV) afterload, impairing systolic function. Two-dimensional (2D) echocardiography is the most performed cardiac imaging tool to assess RV systolic function; however, an accurate evaluation requires expertise. We aimed to develop a fully automated deep learning (DL)-based tool to estimate the RV ejection fraction (RVEF) from 2D echocardiographic videos of apical four-chamber views in patients with precapillary PH. METHODS We identified 85 patients with suspected precapillary PH who underwent cardiac magnetic resonance imaging (MRI) and echocardiography. The data was divided into training (80%) and testing (20%) datasets, and a regression model was constructed using 3D-ResNet50. Accuracy was assessed using five-fold cross validation. RESULTS The DL model predicted the cardiac MRI-derived RVEF with a mean absolute error of 7.67%. The DL model identified severe RV systolic dysfunction (defined as cardiac MRI-derived RVEF < 37%) with an area under the curve (AUC) of .84, which was comparable to the AUC of RV fractional area change (FAC) and tricuspid annular plane systolic excursion (TAPSE) measured by experienced sonographers (.87 and .72, respectively). To detect mild RV systolic dysfunction (defined as RVEF ≤ 45%), the AUC from the DL-predicted RVEF also demonstrated a high discriminatory power of .87, comparable to that of FAC (.90), and significantly higher than that of TAPSE (.67). CONCLUSION The fully automated DL-based tool using 2D echocardiography could accurately estimate RVEF and exhibited a diagnostic performance for RV systolic dysfunction comparable to that of human readers.
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Affiliation(s)
- Michito Murayama
- Department of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroyuki Sugimori
- Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Takaaki Yoshimura
- Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Department of Medical Physics, Hokkaido University Hospital, Sapporo, Japan
| | - Sanae Kaga
- Department of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan
| | - Hideki Shima
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Satonori Tsuneta
- Department of Radiology, Graduate School of Dental Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Aoi Mukai
- Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Yui Nagai
- Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Shinobu Yokoyama
- Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan
| | - Hisao Nishino
- Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan
| | - Junichi Nakamura
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Takahiro Sato
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Division of Respiratory and Cardiovascular Innovative Research, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Ichizo Tsujino
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Division of Respiratory and Cardiovascular Innovative Research, Faculty of Medicine, Hokkaido University, Sapporo, Japan
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Sanguineti F, Garot P, Toupin S, Pezel T, Bohbot Y, Tawa C, Poupineau M, Boileve V, Landon V, Duhamel S, Garot J. Feasibility, safety and diagnostic yield of interventional cardiac magnetic resonance for routine right heart catheterization in adults. Arch Cardiovasc Dis 2024; 117:275-282. [PMID: 38472043 DOI: 10.1016/j.acvd.2024.01.004] [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: 11/06/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Real-time cardiac magnetic resonance generates spatially and temporally resolved images of cardiac anatomy and function, without the need for contrast agent or X-ray exposure. Cardiac magnetic resonance-guided right heart catheterization (CMR-RHC) combines the benefits of cardiac magnetic resonance and invasive cardiac catheterization. The clinical adoption of CMR-RHC represents the first step towards the development of cardiac magnetic resonance-guided therapeutic procedures. AIM To describe the feasibility, safety and diagnostic yield of CMR-RHC in consecutive all-comer patients with clinical indications for right heart catheterization. METHODS From December 2018 to May 2021, 35 consecutive patients with prespecified indications for right heart catheterization were scheduled for CMR-RHC via the femoral route under local anaesthesia in a 1.5T cardiac magnetic resonance suite equipped for interventional cardiac magnetic resonance. The duration of various procedural components and safety data were recorded. Success rate (defined by the ability to record all prespecified haemodynamic measurements and imaging metrics), adverse events and patient/physician perprocedural comfort were assessed. RESULTS One patient withdrew his consent before the study, and scanner troubleshooting occurred in one case. Among the 33 remaining patients, prespecified cardiac magnetic resonance imaging metrics were obtained in all patients, whereas full CMR-RHC measurements were obtained in 30 patients (91%). A dedicated cardiac magnetic resonance-compatible wire was used in 25/33 procedures. CMR-RHC was completed in 29±16minutes, and the total duration of the procedure, including conventional cardiac magnetic resonance imaging, was 62±20minutes. There were no adverse events and no femoral haematomas. Procedural comfort was deemed good by the patients and operators for all procedures. CMR-RHC significantly impacted diagnosis or patient management in 28/33 patients (85%). CONCLUSIONS CMR-RHC seems to be a feasible and safe procedure that can be used in routine daily practice in consecutive adults with an impactful clinical yield.
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Affiliation(s)
- Francesca Sanguineti
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Philippe Garot
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Solenn Toupin
- Siemens Healthineers, Scientific Partnership, 93210 Saint-Denis, France
| | - Théo Pezel
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Yohann Bohbot
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Chloé Tawa
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Mathieu Poupineau
- Hôpital Privé Claude Galien, Ramsay Santé, Institut Cardiovasculaire Paris Sud (ICPS), 91480 Quincy-sous-Sénart, France
| | - Victor Boileve
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Valentin Landon
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Suzanne Duhamel
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France
| | - Jérôme Garot
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques-Cartier, Ramsay Santé, 6, avenue du Noyer-Lambert, 91300 Massy, France.
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Topriceanu CC, Shah M, Webber M, Chan F, Shiwani H, Richards M, Schott J, Chaturvedi N, Moon JC, Hughes AD, Hingorani AD, O'Regan DP, Captur G. APOE ε4 carriage associates with improved myocardial performance from adolescence to older age. BMC Cardiovasc Disord 2024; 24:172. [PMID: 38509472 PMCID: PMC10956279 DOI: 10.1186/s12872-024-03808-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 02/21/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Although APOE ε4 allele carriage confers a risk for coronary artery disease, its persistence in humans might be explained by certain survival advantages (antagonistic pleiotropy). METHODS Combining data from ~ 37,000 persons from three older age British cohorts (1946 National Survey of Health and Development [NSHD], Southall and Brent Revised [SABRE], and UK Biobank) and one younger age cohort (Avon Longitudinal Study of Parents and Children [ALSPAC]), we explored whether APOE ε4 carriage associates with beneficial or unfavorable left ventricular (LV) structural and functional metrics by echocardiography and cardiovascular magnetic resonance (CMR). RESULTS Compared to the non-APOE ε4 group, APOE ε4 carriers had similar cardiac phenotypes in terms of LV ejection fraction, E/e', posterior wall and interventricular septal thickness, and LV mass. However, they had improved myocardial performance resulting in greater LV stroke volume generation per 1 mL of myocardium (higher myocardial contraction fraction). In NSHD (n = 1467) and SABRE (n = 1187), ε4 carriers had a 4% higher MCF (95% CI 1-7%, p = 0.016) using echocardiography. Using CMR data, in UK Biobank (n = 32,972), ε4 carriers had a 1% higher MCF 95% (CI 0-1%, p = 0.020) with a dose-response relationship based on the number of ε4 alleles. In addition, UK Biobank ε4 carriers also had more favorable radial and longitudinal strain rates compared to non APOE ε4 carriers. In ALSPAC (n = 1397), APOE ε4 carriers aged < 24 years had a 2% higher MCF (95% CI 0-5%, p = 0.059). CONCLUSIONS By triangulating results in four independent cohorts, across imaging modalities (echocardiography and CMR), and in ~ 37,000 individuals, our results point towards an association between ε4 carriage and improved cardiac performance in terms of LV MCF. This potentially favorable cardiac phenotype adds to the growing number of reported survival advantages attributed to the pleiotropic effects APOE ε4 carriage that might collectively explain its persistence in human populations.
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Affiliation(s)
- Constantin-Cristian Topriceanu
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- UCL Institute of Cardiovascular Science, University College London, London, UK
- Cardiac MRI Unit, Barts Heart Centre, London, UK
- Cardiology Department, Centre for Inherited Heart Muscle Conditions, The Royal Free Hospital, Pond Street, Hampstead, London, UK
| | - Mit Shah
- Imperial Centre for Translational and Experimental Medicine, National Heart and Lung Institute, Imperial College London, London, UK
- MRC London Institute of Medical Science, Imperial College London, London, UK
| | - Matthew Webber
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Fiona Chan
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Hunain Shiwani
- UCL Institute of Cardiovascular Science, University College London, London, UK
- Cardiac MRI Unit, Barts Heart Centre, London, UK
| | - Marcus Richards
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Jonathan Schott
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Nishi Chaturvedi
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - James C Moon
- UCL Institute of Cardiovascular Science, University College London, London, UK
- Cardiac MRI Unit, Barts Heart Centre, London, UK
| | - Alun D Hughes
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Aroon D Hingorani
- UCL Institute of Cardiovascular Science, University College London, London, UK
- BHF Research Accelerator, University College London, London, UK
- Health Data Research, University College London, London, UK
| | - Declan P O'Regan
- Imperial Centre for Translational and Experimental Medicine, National Heart and Lung Institute, Imperial College London, London, UK
- MRC London Institute of Medical Science, Imperial College London, London, UK
| | - Gabriella Captur
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK.
- UCL Institute of Cardiovascular Science, University College London, London, UK.
- Cardiac MRI Unit, Barts Heart Centre, London, UK.
- Imperial Centre for Translational and Experimental Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
- Cardiology Department, Centre for Inherited Heart Muscle Conditions, The Royal Free Hospital, Pond Street, Hampstead, London, UK.
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Qi Y, Wang F, Kong J, Cao JJ, Li YY. SwinUNet: a multiscale feature learning approach to cardiovascular magnetic resonance parametric mapping for myocardial tissue characterization. Physiol Meas 2024; 45:035007. [PMID: 38387052 DOI: 10.1088/1361-6579/ad2c15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/22/2024] [Indexed: 02/24/2024]
Abstract
Objective.Cardiovascular magnetic resonance (CMR) can measure T1 and T2 relaxation times for myocardial tissue characterization. However, the CMR procedure for T1/T2 parametric mapping is time-consuming, making it challenging to scan heart patients routinely in clinical practice. This study aims to accelerate CMR parametric mapping with deep learning.Approach. A deep-learning model, SwinUNet, was developed to accelerate T1/T2 mapping. SwinUNet used a convolutional UNet and a Swin transformer to form a hierarchical 3D computation structure, allowing for analyzing CMR images spatially and temporally with multiscale feature learning. A comparative study was conducted between SwinUNet and an existing deep-learning model, MyoMapNet, which only used temporal analysis for parametric mapping. The T1/T2 mapping performance was evaluated globally using mean absolute error (MAE) and structural similarity index measure (SSIM). The clinical T1/T2 indices for characterizing the left-ventricle myocardial walls were also calculated and evaluated using correlation and Bland-Altman analysis.Main results. We performed accelerated T1 mapping with ≤4 heartbeats and T2 mapping with 2 heartbeats in reference to the clinical standard, which required 11 heartbeats for T1 mapping and 3 heartbeats for T2 mapping. SwinUNet performed well in all the experiments (MAE < 50 ms, SSIM > 0.8, correlation > 0.75, and Bland-Altman agreement limits < 100 ms for T1 mapping; MAE < 1 ms, SSIM > 0.9, correlation > 0.95, and Bland-Altman agreement limits < 1.5 ms for T2 mapping). When the maximal acceleration was used (2 heartbeats), SwinUNet outperformed MyoMapNet and gave measurement accuracy similar to the clinical standard.Significance. SwinUNet offers an optimal solution to CMR parametric mapping for assessing myocardial diseases quantitatively in clinical cardiology.
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Affiliation(s)
- Yifan Qi
- Department of Computer Science, Stony Brook University, Stony Brook, NY 11790, United States of America
| | - Fusheng Wang
- Department of Computer Science, Stony Brook University, Stony Brook, NY 11790, United States of America
| | - Jun Kong
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, United States of America
| | - J Jane Cao
- DeMatteis Centre for Research and Education, St. Francis Hospital, Roslyn, NY 11576, United States of America
- Clinical medicine, Stony Brook University, Stony Brook, NY 11790, United States of America
| | - Yu Y Li
- DeMatteis Centre for Research and Education, St. Francis Hospital, Roslyn, NY 11576, United States of America
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11790, United States of America
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Andresen K, Klæboe LG, Lie ØH, Broch K, Kvaslerud AB, Bosse G, Hopp E, de Lange C, Haugaa KH, Edvardsen T. No adverse association between exercise exposure and diffuse myocardial fibrosis in male endurance athletes. Sci Rep 2024; 14:6581. [PMID: 38503845 PMCID: PMC10951320 DOI: 10.1038/s41598-024-57233-5] [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: 12/21/2023] [Accepted: 03/15/2024] [Indexed: 03/21/2024] Open
Abstract
The potential association between endurance exercise and myocardial fibrosis is controversial. Data on exercise exposure and diffuse myocardial fibrosis in endurance athletes are scarce and conflicting. We aimed to investigate the association between exercise exposure and markers of diffuse myocardial fibrosis by cardiovascular magnetic resonance imaging (CMR) in endurance athletes. We examined 27 healthy adult male competitive endurance athletes aged 41 ± 9 years and 16 healthy controls in a cross sectional study using 3 Tesla CMR including late gadolinium enhancement and T1 mapping. Athletes reported detailed exercise history from 12 years of age. Left ventricular total mass, cellular mass and extracellular mass were higher in athletes than controls (86 vs. 58 g/m2, 67 vs. 44 g/m2 and 19 vs. 13 g/m2, all p < 0.01). Extracellular volume (ECV) was lower (21.5% vs. 23.8%, p = 0.03) and native T1 time was shorter (1214 ms vs. 1268 ms, p < 0.01) in the athletes. Increasing exercise dose was independently associated with shorter native T1 time (regression coefficient - 24.1, p < 0.05), but expressed no association with ECV. Our results indicate that diffuse myocardial fibrosis has a low prevalence in healthy male endurance athletes and do not indicate an adverse dose-response relationship between exercise and diffuse myocardial fibrosis in healthy athletes.
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Affiliation(s)
- Kristoffer Andresen
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lars Gunnar Klæboe
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway
| | - Øyvind Haugen Lie
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
| | - Kaspar Broch
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Anette Borger Kvaslerud
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Gerhard Bosse
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Einar Hopp
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Charlotte de Lange
- Institution of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Pediatric Radiology, Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kristina Hermann Haugaa
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
- Heart and Lung Diseases Unit, Department of Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Thor Edvardsen
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Nydalen, P. O. Box 4950, N-0424, Oslo, Norway.
- Faculty of Medicine, University of Oslo, Oslo, Norway.
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Bawaskar P, Thomas N, Ismail K, Guo Y, Chhikara S, Athwal PSS, Ranum A, Jadhav A, Mendez AH, Nadkarni I, Frerichs D, Velangi P, Ergando T, Akram H, Kanda A, Shenoy C. Nonischemic or Dual Cardiomyopathy in Patients With Coronary Artery Disease. Circulation 2024; 149:807-821. [PMID: 37929565 PMCID: PMC10951941 DOI: 10.1161/circulationaha.123.067032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/02/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Randomized trials in obstructive coronary artery disease (CAD) have largely shown no prognostic benefit from coronary revascularization. Although there are several potential reasons for the lack of benefit, an underexplored possible reason is the presence of coincidental nonischemic cardiomyopathy (NICM). We investigated the prevalence and prognostic significance of NICM in patients with CAD (CAD-NICM). METHODS We conducted a registry study of consecutive patients with obstructive CAD on coronary angiography who underwent contrast-enhanced cardiovascular magnetic resonance imaging for the assessment of ventricular function and scar at 4 hospitals from 2004 to 2020. We identified the presence and cause of cardiomyopathy using cardiovascular magnetic resonance imaging and coronary angiography data, blinded to clinical outcomes. The primary outcome was a composite of all-cause death or heart failure hospitalization, and secondary outcomes were all-cause death, heart failure hospitalization, and cardiovascular death. RESULTS Among 3023 patients (median age, 66 years; 76% men), 18.2% had no cardiomyopathy, 64.8% had ischemic cardiomyopathy (CAD+ICM), 9.3% had CAD+NICM, and 7.7% had dual cardiomyopathy (CAD+dualCM), defined as both ICM and NICM. Thus, 16.9% had CAD+NICM or dualCM. During a median follow-up of 4.8 years (interquartile range, 2.9, 7.6), 1116 patients experienced the primary outcome. In Cox multivariable analysis, CAD+NICM or dualCM was independently associated with a higher risk of the primary outcome compared with CAD+ICM (adjusted hazard ratio, 1.23 [95% CI, 1.06-1.43]; P=0.007) after adjustment for potential confounders. The risks of the secondary outcomes of all-cause death and heart failure hospitalization were also higher with CAD+NICM or dualCM (hazard ratio, 1.21 [95% CI, 1.02-1.43]; P=0.032; and hazard ratio, 1.37 [95% CI, 1.11-1.69]; P=0.003, respectively), whereas the risk of cardiovascular death did not differ from that of CAD+ICM (hazard ratio, 1.15 [95% CI, 0.89-1.48]; P=0.28). CONCLUSIONS In patients with CAD referred for clinical cardiovascular magnetic resonance imaging, NICM or dualCM was identified in 1 of every 6 patients and was associated with worse long-term outcomes compared with ICM. In patients with obstructive CAD, coincidental NICM or dualCM may contribute to the lack of prognostic benefit from coronary revascularization.
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Affiliation(s)
- Parag Bawaskar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Nicholas Thomas
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Khaled Ismail
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Yugene Guo
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Sanya Chhikara
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Pal Satyajit Singh Athwal
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Alison Ranum
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Achal Jadhav
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Abel Hooker Mendez
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Ishan Nadkarni
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Dominic Frerichs
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Pratik Velangi
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Tesfatsiyon Ergando
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Hassan Akram
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Adinan Kanda
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
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Grassow L, Gröschel J, Saad H, Krüger LD, Kuhnt J, Müller M, Hadler T, Blaszczyk E, Schulz-Menger J. Sex-specific structural and functional cardiac remodeling during healthy aging assessed by cardiovascular magnetic resonance. Clin Res Cardiol 2024:10.1007/s00392-024-02430-5. [PMID: 38466347 DOI: 10.1007/s00392-024-02430-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/28/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Aging as a major non-modifiable cardiac risk factor challenges future cardiovascular medicine and economic demands, which requires further assessments addressing physiological age-associated cardiac changes. OBJECTIVES Using cardiovascular magnetic resonance (CMR), this study aims to characterize sex-specific ventricular adaptations during healthy aging. METHODS The population included healthy volunteers who underwent CMR at 1.5 or 3 Tesla scanners applying cine-imaging with a short-axis coverage of the left (LV) and right (RV) ventricle. The cohort was divided by sex (female and male) and age (subgroups in years): 1 (19-29), 2 (30-39), 3 (40-49), and 4 (≥50). Cardiac adaptations were quantitatively assessed by CMR indices. RESULTS After the exclusion of missing or poor-quality CMR datasets or diagnosed disease, 140 of 203 volunteers were part of the final analysis. Women generally had smaller ventricular dimensions and LV mass, but higher biventricular systolic function. There was a significant age-associated decrease in ventricular dimensions as well as a significant increase in LV mass-to-volume ratio (LV-MVR, concentricity) in both sexes (LV-MVR in g/ml: age group 1 vs. 4: females 0.50 vs. 0.57, p=0.016, males 0.56 vs. 0.67, p=0.024). LV stroke volume index decreased significantly with age in both sexes, but stronger for men than for women (in ml/m2: age group 1 vs. 4: females 51.76 vs. 41.94, p<0.001, males 55.31 vs. 40.78, p<0.001). Ventricular proportions (RV-to-LV-volume ratio) were constant between the age groups in both sexes. CONCLUSIONS In both sexes, healthy aging was associated with an increase in concentricity and a decline in ventricular dimensions. Furthermore, relevant age-related sex differences in systolic LV performance were observed.
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Affiliation(s)
- Leonhard Grassow
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Jan Gröschel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
- Deutsches Herzzentrum der Charité - Department of Cardiology, Angiology and Intensive Care Medicine, Charitéplatz 1, 10117, Berlin, Germany
| | - Hadil Saad
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- HELIOS Hospital Berlin-Buch - Department of Cardiology and Nephrology, Schwanebecker Chaussee 50, 13125, Berlin, Germany
| | - Leo Dyke Krüger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Johanna Kuhnt
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Maximilian Müller
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Thomas Hadler
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Edyta Blaszczyk
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany.
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Charité Campus Buch, Lindenberger Weg 80, 13125, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany.
- HELIOS Hospital Berlin-Buch - Department of Cardiology and Nephrology, Schwanebecker Chaussee 50, 13125, Berlin, Germany.
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Zhong Y, Li C, Yu Y, Du Y, Bai Y, Wang X, Dai X, Fan G, Wang G. Evaluation the relationship between myocardial fibrosis and left ventricular torsion measured by cardiac magnetic resonance feature-tracking in hypertrophic cardiomyopathy patients with preserved ejection fraction. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03061-7. [PMID: 38448705 DOI: 10.1007/s10554-024-03061-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 02/03/2024] [Indexed: 03/08/2024]
Abstract
The relationship between left ventricular (LV) torsion and myocardial fibrosis (MF) in hypertrophic cardiomyopathy (HCM) patients with preserved ejection fraction was still not well understood. New developments in cardiac magnetic resonance (CMR) enable a much fuller assessment of cardiac characteristics. This study sought to assess the impact of HCM on myocardial function as assessed by LV torsion and its relationship with MF. HCM (n = 79) and healthy controls (n = 40) underwent CMR. According to whether there was late gadolinium enhancement (LGE), patients were divided into LGE+ group and LGE- group. LV torsion and torsion rate were measured by CMR feature-tracking (CMR-FT). MF was quantitatively evaluated through LGE imaging. LGE was present in 44 patients (56%). Compared with healthy controls, torsion increased in the LGE- group (P < 0.001). Compared with LGE+ group, torsion was higher in the LGE- group (P < 0.001). There was no significant difference in torsion between LGE+ group and healthy controls. Correlation analysis showed that torsion was correlated with LGE% (r = - 0.443) and LGE mass (r = - 0.435) respectively. On multivariable logistic regression analysis, LV torsion was the only feature that was independently associated with the presence of LGE (OR 0.130; 95% CI 0.040 to 0.420, P = 0.01). The best torsion value associated with MF was 1.91 (sensitivity 60.0%, specificity 77.3%, AUC = 0.733). In HCM patients with preserved ejection fraction, CMR-FT derived LV torsion analysis holds promise for myocardial fibrosis detection.
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Affiliation(s)
- Ying Zhong
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China
| | - Ce Li
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Yang Yu
- Department of Cardio-surgery, The First Hospital of China Medical University, Shenyang, China
| | - Yaqi Du
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China
| | - Yun Bai
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China
| | - Xinrui Wang
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China
| | - Xu Dai
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
| | - Guan Wang
- Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
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Cipriani A, Lo Rito M, Pica S, De Gaspari M, Rigato I, Perazzolo Marra M, De Conti G, Corradin S, Motta R, Pergola V, Secchi F, Lombardi M, Bauce B, Zorzi A, Thiene G, Basso C, Molossi S, Padalino MA, Corrado D. Cardiac magnetic resonance in the assessment of the anomalous right coronary artery originating from the left sinus of Valsalva. Eur Heart J 2024:ehae129. [PMID: 38442289 DOI: 10.1093/eurheartj/ehae129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Affiliation(s)
- Alberto Cipriani
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | - Mauro Lo Rito
- Department of Congenital Cardiac Surgery, IRCCS Policlinico San Donato, Milan, Italy
| | - Silvia Pica
- Multimodality Cardiac Imaging Section, IRCCS Policlinico San Donato, Milan, Italy
| | - Monica De Gaspari
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiovascular Pathology Unit, University Hospital of Padua, Padua, Italy
| | - Ilaria Rigato
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | - Martina Perazzolo Marra
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | | | | | - Raffaella Motta
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Radiology Unit, University Hospital of Padua, Padua, Italy
| | - Valeria Pergola
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | - Francesco Secchi
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
- Unit of Radiology, IRCCS Policlinico San Donato, Milan, Italy
| | - Massimo Lombardi
- Multimodality Cardiac Imaging Section, IRCCS Policlinico San Donato, Milan, Italy
| | - Barbara Bauce
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | - Alessandro Zorzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
| | - Gaetano Thiene
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiovascular Pathology Unit, University Hospital of Padua, Padua, Italy
| | - Cristina Basso
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiovascular Pathology Unit, University Hospital of Padua, Padua, Italy
| | - Silvana Molossi
- Division of Cardiology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Massimo Antonio Padalino
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Pediatric and Congenital Cardiac Surgery Unit, University Hospital of Padua, Padua, Italy
| | - Domenico Corrado
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani, 2, 35128 Padua, Italy
- Cardiology Unit, University Hospital of Padua, Via Giustiniani, 2, 35128 Padua, Italy
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43
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Jada L, Holtackers RJ, Martens B, Nies HMJM, Van De Heyning CM, Botnar RM, Wildberger JE, Ismail TF, Razavi R, Chiribiri A. Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance. Sci Rep 2024; 14:5395. [PMID: 38443457 PMCID: PMC10914833 DOI: 10.1038/s41598-024-52058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/12/2024] [Indexed: 03/07/2024] Open
Abstract
Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
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Affiliation(s)
- Lamis Jada
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Robert J Holtackers
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hedwig M J M Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Rene M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Tevfik F Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
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44
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Bolz C, Blaszczyk E, Mayr T, Lim C, Haufe S, Jordan J, Barckow P, Gröschel J, Schulz-Menger J. Adiposity influences on myocardial deformation: a cardiovascular magnetic resonance feature tracking study in people with overweight to obesity without established cardiovascular disease. Int J Cardiovasc Imaging 2024; 40:643-654. [PMID: 38308113 PMCID: PMC10951011 DOI: 10.1007/s10554-023-03034-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 12/13/2023] [Indexed: 02/04/2024]
Abstract
The objective of this study was to assess whether dietary-induced weight loss improves myocardial deformation in people with overweight to obesity without established cardiovascular disease applying cardiovascular magnetic resonance (CMR) with feature tracking (FT) based strain analysis. Ninety people with overweight to obesity without established cardiovascular disease (age 44.6 ± 9.3 years, body mass index (BMI) 32.6 ± 4 kg/m2) underwent CMR. We retrospectively quantified FT based strain and LA size and function at baseline and after a 6-month hypocaloric diet, with either low-carbohydrate or low-fat intake. The study cohort was compared to thirty-four healthy normal-weight controls (age 40.8 ± 16.0 years, BMI 22.5 ± 1.4 kg/m2). At baseline, the study cohort with overweight to obesity without established cardiovascular disease displayed significantly increased global circumferential strain (GCS), global radial strain (GRS) and LA size (all p < 0.0001 versus controls) but normal global longitudinal strain (GLS) and normal LA ejection fraction (all p > 0.05 versus controls). Dietary-induced weight loss led to a significant reduction in GCS, GRS and LA size irrespective of macronutrient composition (all p < 0.01). In a population with overweight to obesity without established cardiovascular disease subclinical myocardial changes can be detected applying CMR. After dietary-induced weight loss improvement of myocardial deformation could be shown. A potential clinical impact needs further studies.
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Affiliation(s)
- Constantin Bolz
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Edyta Blaszczyk
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
| | - Thomas Mayr
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Carolin Lim
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Sven Haufe
- Clinic for Rehabilitation and Sports Medicine, Hannover Medical School, Hannover, Germany
| | - Jens Jordan
- Institute of Aerospace Medicine, German Aerospace Center, Cologne, Germany
| | - Philipp Barckow
- Circle Cardiovascular Imaging Inc., Calgary, Alberta, Canada
| | - Jan Gröschel
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany.
- Helios Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
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45
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Hoh T, Margolis I, Weine J, Joyce T, Manka R, Weisskopf M, Cesarovic N, Fuetterer M, Kozerke S. Impact of late gadolinium enhancement image acquisition resolution on neural network based automatic scar segmentation. J Cardiovasc Magn Reson 2024; 26:101031. [PMID: 38431078 PMCID: PMC10981112 DOI: 10.1016/j.jocmr.2024.101031] [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: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Automatic myocardial scar segmentation from late gadolinium enhancement (LGE) images using neural networks promises an alternative to time-consuming and observer-dependent semi-automatic approaches. However, alterations in data acquisition, reconstruction as well as post-processing may compromise network performance. The objective of the present work was to systematically assess network performance degradation due to a mismatch of point-spread function between training and testing data. METHODS Thirty-six high-resolution (0.7×0.7×2.0 mm3) LGE k-space datasets were acquired post-mortem in porcine models of myocardial infarction. The in-plane point-spread function and hence in-plane resolution Δx was retrospectively degraded using k-space lowpass filtering, while field-of-view and matrix size were kept constant. Manual segmentation of the left ventricle (LV) and healthy remote myocardium was performed to quantify location and area (% of myocardium) of scar by thresholding (≥ SD5 above remote). Three standard U-Nets were trained on training resolutions Δxtrain = 0.7, 1.2 and 1.7 mm to predict endo- and epicardial borders of LV myocardium and scar. The scar prediction of the three networks for varying test resolutions (Δxtest = 0.7 to 1.7 mm) was compared against the reference SD5 thresholding at 0.7 mm. Finally, a fourth network trained on a combination of resolutions (Δxtrain = 0.7 to 1.7 mm) was tested. RESULTS The prediction of relative scar areas showed the highest precision when the resolution of the test data was identical to or close to the resolution used during training. The median fractional scar errors and precisions (IQR) from networks trained and tested on the same resolution were 0.0 percentage points (p.p.) (1.24 - 1.45), and - 0.5 - 0.0 p.p. (2.00 - 3.25) for networks trained and tested on the most differing resolutions, respectively. Deploying the network trained on multiple resolutions resulted in reduced resolution dependency with median scar errors and IQRs of 0.0 p.p. (1.24 - 1.69) for all investigated test resolutions. CONCLUSION A mismatch of the imaging point-spread function between training and test data can lead to degradation of scar segmentation when using current U-Net architectures as demonstrated on LGE porcine myocardial infarction data. Training networks on multi-resolution data can alleviate the resolution dependency.
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Affiliation(s)
- Tobias Hoh
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
| | - Isabel Margolis
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
| | - Jonathan Weine
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Thomas Joyce
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
| | - Robert Manka
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Miriam Weisskopf
- Center of Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Nikola Cesarovic
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany.
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
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Cau R, Muscogiuri G, Pisu F, Mannelli L, Sironi S, Suri JS, Pontone G, Saba L. Effect of late gadolinium enhancement on left atrial impairment in myocarditis patients. Eur Radiol 2024; 34:1846-1853. [PMID: 37658889 PMCID: PMC10873434 DOI: 10.1007/s00330-023-10176-3] [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: 05/21/2023] [Revised: 06/13/2023] [Accepted: 07/04/2023] [Indexed: 09/05/2023]
Abstract
OBJECTIVE The aims of our study were to investigate the effect of the extent and location of late gadolinium enhancement (LGE) on the left atrium (LA) function in patients with acute myocarditis (AM) using cardiovascular magnetic resonance (CMR). METHOD This retrospective study performed CMR scans in 113 consecutive patients (89 males, 24 females; mean age 45.8 ± 17.3 years) with AM that met the updated Lake Louise criteria. Reservoir, conduit, and booster LA functions were analyzed by CMR feature tracking using dedicated software. Besides LA strain measurements, myocardial scar location and extent were assigned and quantified by LGE imaging. RESULTS AM patients with septal LGE had impaired reservoir, conduit, and conduit strain rate function in comparison with AM patients with non-septal LGE (p = 0.001, for all). In fully adjusted multivariable linear regression, reservoir and conduit were significantly associated with left ventricle (LV) LGE location (β coefficient = 8.205, p = 0.007; β coefficient = 5.185, p = 0.026; respectively). In addition, LA parameters decreased according to the increase in the extent of LV fibrosis (LGE ≤ 10%; LGE 11-19%; LGE ≥ 20%). After adjustment in multivariable linear regression, the association with LV LGE extent was no longer statistically significant. CONCLUSION In patients with acute myocarditis, LA function abnormalities are significantly associated with LV LGE location, but not with LGE extent. Septal LGE is paralleled by a deterioration of LA reservoir and conduit function. CLINICAL RELEVANCE STATEMENT Left atrium dysfunction is associated with the presence of late gadolinium enhancement in the left ventricle septum and can be useful in the clinical prognostication of patients with acute myocarditis, allowing individually tailored treatment. KEY POINTS • Myocardial fibrosis is related to atrial impairment. • The location of myocardial fibrosis is the main determinant of atrial dysfunction in myocarditis patients. • The quantification of atrial mechanisms may provide more in-depth insight into myocarditis pathophysiology.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | - Lorenzo Mannelli
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy.
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47
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Doctor P, Sharma B, Greil G, Dillenbeck J, Abdulkarim M, Jaquiss R, Hussain T, Fares M. Dobutamine Stress Cardiovascular Magnetic Resonance Derived 2-Dimension Feature Tracking Strain Analysis in Pediatric Population with Anomalous Aortic Origin of Right Coronary Artery. Pediatr Cardiol 2024; 45:520-528. [PMID: 38233665 DOI: 10.1007/s00246-023-03401-9] [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: 11/17/2023] [Accepted: 12/28/2023] [Indexed: 01/19/2024]
Abstract
Anomalous aortic origin of right coronary artery (AAORCA) is associated with myocardial ischemia and sudden cardiac arrest/death. Risk stratification remains challenging and relies upon provocative test results. This study describes the utility of dobutamine stress cardiovascular magnetic resonance (DSCMR) and potential benefit of strain analysis in children with AAORCA. All patients less than 21 years of age with AAORCA who underwent DSCMR between July 2018 and December 2022 were included. Visual wall motion abnormalities (VWMA) at rest and during protocolized increments of dobutamine infusion were assessed. Regional and global left ventricular circumferential (GCS) and radial (GRS) strain using 2-dimension Feature tracking (2D-FT) analysis (cvi42, Circle Cardiovascular Imaging Inc.) were calculated at rest and peak response. Of the total 54 DSCMR studies performed in 51 children with median age (IQR) of 13.5 (11-15) years, FT analysis was reliably performed in 52 (96%) studies. None had VWMA. The absolute change in GCS and GRS from rest to peak dobutamine stress was 4% (1-6%) and 11% (4-18%), respectively. There was no significant difference in GCS and GRS in patients with exertional symptoms vs no/non-exertional symptoms as well as between those considered to be high-risk vs low-risk anatomical features. DSCMR-derived 2D-FT strain analysis is feasible to assess myocardial deformation in children with AAORCA and may enhance this method of provocative testing. Although there were no statically significant differences in GCS and GRS values between high and low-risk subgroups, the absolute change in GCS between rest and peak stress is diminished when compared to normal adult reports.
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Affiliation(s)
- Pezad Doctor
- Department of Pediatric Cardiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA.
| | - Bharti Sharma
- Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY, 11373, USA
| | - Gerald Greil
- Department of Pediatric Cardiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
- Department of Pediatric Radiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Jeanne Dillenbeck
- Department of Pediatric Radiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Mubeena Abdulkarim
- Department of Pediatric Cardiology, Nicklaus Children's Hospital, 3100 SW 62n Ave, Miami, FL, 33155, USA
| | - Robert Jaquiss
- Department of Pediatric Cardiovascular Thoracic Surgery, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Tarique Hussain
- Department of Pediatric Cardiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
- Department of Pediatric Radiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Munes Fares
- Department of Pediatric Cardiology, Children's Health/University of Texas Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA
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Xu Z, Li W, Wang J, Wang F, Sun B, Xiang S, Luo X, Meng Y, Wang X, Wang X, Song J, Zhang M, Xu D, Zhou X, Ju Z, Sun J, Han Y, Chen Y. Reference Ranges of Ventricular Morphology and Function in Healthy Chinese Adults: A Multicenter 3 T MRI Study. J Magn Reson Imaging 2024; 59:812-822. [PMID: 37530736 DOI: 10.1002/jmri.28903] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI) reference ranges for ventricular morphology and function in the Chinese population are lacking. PURPOSE To establish the MRI reference ranges of left and right ventricular (LV and RV) morphology and function based on a large multicenter cohort. STUDY TYPE Prospective. POPULATION One thousand and twelve healthy Chinese Han adults. FIELD STRENGTH/SEQUENCE Balanced steady-state free procession cine sequence at 3.0 T. ASSESSMENT Biventricular end-diastolic, end-systolic, stroke volume, and ejection fraction (EDV, ESV, SV, and EF), LV mass (LVM), end-diastolic and end-systolic dimension (LVEDD and LVESD), anteroseptal wall thickness (AS), and posterolateral wall thickness (PL) were measured. Body surface area (BSA) and height were used to index biventricular parameters. Parameters were compared between age groups and sex. STATISTICAL TESTS Independent-samples t-tests or Mann-Whitney U test to compare mean values between sexes; ANOVA or Kruskal-Wallis test to compare mean values among age groups; linear regression to assess the relationships between cardiac parameters and age (correlation coefficient, r). A P value <0.05 was considered statistically significant. RESULTS The biventricular volumes, LVM, LVEDD, RVEDV/LVEDV ratio, LVESD, AS, and PL were significantly greater in males than in females, even after indexing to BSA or height, while LVEF and RVEF were significantly lower in males than in females. For both sexes, age was significantly negatively correlated with biventricular volumes (male and female: LVEDV [r = -0.491; r = -0.373], LVESV [r = -0.194; r = -0.184], RVEDV [r = -0.639; r = -0.506], RVESV [r = -0.270; r = -0.223]), with similar correlations after BSA normalization. LVEF (r = 0.043) and RVEF (r = 0.033) showed a significant correlation with age in females, but not in males (P = 0.889; P = 0.282). DATA CONCLUSION MRI reference ranges for biventricular morphology and function in Chinese adults are presented and show significant associations with age and sex. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ziqian Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Weihao Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaqi Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Wang
- Department of Radiology, Anqing Municipal Hospital, Anqing, China
| | - Bin Sun
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shifeng Xiang
- Department of Radiology, Handan Central Hospital, Handan, China
| | - Xiao Luo
- Department of Radiology, Maanshan People's Hospital, Maanshan, China
| | - Yanfeng Meng
- Department of Radiology, Taiyuan Central Hospital, Taiyuan, China
| | - Xiang Wang
- Department of Radiology, Wuhan Central Hospital, Wuhan, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Jinan, China
| | - Jianxun Song
- Department of Radiology, Shenzhen Baoan People's Hospital, Shenzhen, China
| | - Min Zhang
- Department of Radiology, Beijing Hospital, Beijing, China
| | - Dinghu Xu
- Department of Radiology, Nanjing Jiangning Hospital, Nanjing, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Zhiguo Ju
- College of Medical Imaging, Shanghai University of Medicine & Health Science, Shanghai, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuchi Han
- Cardiovascular Division, The Ohio State Wexner Medical Center, Columbus, Ohio, USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
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49
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Chen H, Erley J, Muellerleile K, Saering D, Jahnke C, Cavus E, Schneider JN, Blankenberg S, Lund GK, Adam G, Tahir E, Sinn M. Contrast-enhanced cardiac MRI is superior to non-contrast mapping to predict left ventricular remodeling at 6 months after acute myocardial infarction. Eur Radiol 2024; 34:1863-1874. [PMID: 37665392 PMCID: PMC10873445 DOI: 10.1007/s00330-023-10100-9] [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: 02/25/2023] [Revised: 06/28/2023] [Accepted: 07/04/2023] [Indexed: 09/05/2023]
Abstract
OBJECTIVES Parametric mapping constitutes a novel cardiac magnetic resonance (CMR) technique enabling quantitative assessment of pathologic alterations of left ventricular (LV) myocardium. This study aimed to investigate the clinical utility of mapping techniques with and without contrast agent compared to standard CMR to predict adverse LV remodeling following acute myocardial infarction (AMI). MATERIALS AND METHODS A post hoc analysis was performed on sixty-four consecutively enrolled patients (57 ± 12 years, 54 men) with first-time reperfused AMI. Baseline CMR was obtained at 8 ± 5 days post-AMI, and follow-up CMR at 6 ± 1.4 months. T1/T2 mapping, T2-weighted, and late gadolinium enhancement (LGE) acquisitions were performed at baseline and cine imaging was used to determine adverse LV remodeling, defined as end-diastolic volume increase by 20% at 6 months. RESULTS A total of 11 (17%) patients developed adverse LV remodeling. At baseline, patients with LV remodeling showed larger edema (30 ± 11 vs. 22 ± 10%LV; p < 0.05), infarct size (24 ± 11 vs. 14 ± 8%LV; p < 0.001), extracellular volume (ECVinfarct; 63 ± 12 vs. 47 ± 11%; p < 0.001), and native T2infarct (95 ± 16 vs. 78 ± 17 ms; p < 0.01). ECVinfarct and infarct size by LGE were the best predictors of LV remodeling with areas under the curve (AUCs) of 0.843 and 0.789, respectively (all p < 0.01). Native T1infarct had the lowest AUC of 0.549 (p = 0.668) and was inferior to edema size by T2-weighted imaging (AUC = 0.720; p < 0.05) and native T2infarct (AUC = 0.766; p < 0.01). CONCLUSION In this study, ECVinfarct and infarct size by LGE were the best predictors for the development of LV remodeling within 6 months after AMI, with a better discriminative performance than non-contrast mapping CMR. CLINICAL RELEVANCE STATEMENT This study demonstrates the predictive value of contrast-enhanced and non-contrast as well as conventional and novel CMR techniques for the development of LV remodeling following AMI, which might help define precise CMR endpoints in experimental and clinical myocardial infarction trials. KEY POINTS • Multiparametric CMR provides insights into left ventricular remodeling at 6 months following an acute myocardial infarction. • Extracellular volume fraction and infarct size are the best predictors for adverse left ventricular remodeling. • Contrast-enhanced T1 mapping has a better predictive performance than non-contrast standard CMR and T1/T2 mapping.
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Affiliation(s)
- Hang Chen
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Jennifer Erley
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Kai Muellerleile
- Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Dennis Saering
- Information Technology and Image Processing, University of Applied Sciences, Wedel, Germany
| | - Charlotte Jahnke
- Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Ersin Cavus
- Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Jan N Schneider
- Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Stefan Blankenberg
- Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Gunnar K Lund
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Enver Tahir
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Martin Sinn
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
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50
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Li X, Huang Y, Malagi A, Yang CC, Yoosefian G, Huang LT, Tang E, Gao C, Han F, Bi X, Ku MC, Yang HJ, Han H. Reliable Off-Resonance Correction in High-Field Cardiac MRI Using Autonomous Cardiac B 0 Segmentation with Dual-Modality Deep Neural Networks. Bioengineering (Basel) 2024; 11:210. [PMID: 38534485 DOI: 10.3390/bioengineering11030210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 03/28/2024] Open
Abstract
B0 field inhomogeneity is a long-lasting issue for Cardiac MRI (CMR) in high-field (3T and above) scanners. The inhomogeneous B0 fields can lead to corrupted image quality, prolonged scan time, and false diagnosis. B0 shimming is the most straightforward way to improve the B0 homogeneity. However, today's standard cardiac shimming protocol requires manual selection of a shim volume, which often falsely includes regions with large B0 deviation (e.g., liver, fat, and chest wall). The flawed shim field compromises the reliability of high-field CMR protocols, which significantly reduces the scan efficiency and hinders its wider clinical adoption. This study aims to develop a dual-channel deep learning model that can reliably contour the cardiac region for B0 shim without human interaction and under variable imaging protocols. By utilizing both the magnitude and phase information, the model achieved a high segmentation accuracy in the B0 field maps compared to the conventional single-channel methods (Dice score: 2D-mag = 0.866, 3D-mag = 0.907, and 3D-mag-phase = 0.938, all p < 0.05). Furthermore, it shows better generalizability against the common variations in MRI imaging parameters and enables significantly improved B0 shim compared to the standard method (SD(B0Shim): Proposed = 15 ± 11% vs. Standard = 6 ± 12%, p < 0.05). The proposed autonomous model can boost the reliability of cardiac shimming at 3T and serve as the foundation for more reliable and efficient high-field CMR imaging in clinical routines.
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Affiliation(s)
- Xinqi Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Yuheng Huang
- Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Archana Malagi
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Chia-Chi Yang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ghazal Yoosefian
- Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Li-Ting Huang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Eric Tang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Chang Gao
- MR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA
| | - Fei Han
- MR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA
| | - Xiaoming Bi
- MR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA
| | - Min-Chi Ku
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Hsin-Jung Yang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Hui Han
- Department of Radiology, Weill Medical College of Cornell University, New York, NY 10065, USA
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