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Zheng JY, Chen BH, Wu R, An DA, Shi RY, Wu CW, Xie JY, Jiang SS, Jia V, Zhao L, Wu LM. 3D Fractal Dimension Analysis: Prognostic Value of Right Ventricular Trabecular Complexity in Participants with Arrhythmogenic Cardiomyopathy. J Magn Reson Imaging 2024. [PMID: 38258534 DOI: 10.1002/jmri.29237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Arrhythmogenic cardiomyopathy (ACM) is characterized by progressive myocardial fibro-fatty infiltration accompanied by trabecular disarray. Traditionally, two-dimensional (2D) instead of 3D fractal dimension (FD) analysis has been used to evaluate trabecular disarray. However, the prognostic value of trabecular disorder assessed by 3D FD measurement remains unclear. PURPOSE To investigate the prognostic value of right ventricular trabecular complexity in ACM patients using 3D FD analysis based on cardiac MR cine images. STUDY TYPE Retrospective. POPULATION 85 ACM patients (mean age: 45 ± 17 years, 52 male). FIELD STRENGTH/SEQUENCE 3.0T/cine imaging, T2-short tau inversion recovery (T2-STIR), and late gadolinium enhancement (LGE). ASSESSMENT Using cine images, RV (right ventricular) volumetric and functional parameters were obtained. RV trabecular complexity was measured with 3D fractal analysis by box-counting method to calculate 3D-FD. Cox and logistic regression models were established to evaluate the prognostic value of 3D-FD for major adverse cardiac events (MACE). STATISTICAL TESTS Cox regression and logistic regression to explore the prognostic value of 3D-FD. C-index, time-dependent receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) to evaluate the incremental value of 3D-FD. Intraclass correlation coefficient for interobserver variability. P < 0.05 indicated statistical significance. RESULTS 26 MACE were recorded during the 60 month follow-up (interquartile range: 48-67 months). RV 3D-FD significantly differed between ACM patients with MACE (2.67, interquartile range: 2.51 ~ 2.81) and without (2.52, interquartile range: 2.40 ~ 2.67) and was a significant independent risk factor for MACE (hazard ratio, 1.02; 95% confidence interval: 1.01, 1.04). In addition, prognostic model fitness was significantly improved after adding 3D-FD to RV global longitudinal strain, LV involvement, and 5-year risk score separately. DATA CONCLUSION The myocardial trabecular complexity assessed through 3D FD analysis was found associated with MACE and provided incremental prognostic value beyond conventional ACM risk factors. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Jin-Yu Zheng
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ruo-Yang Shi
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chong-Wen Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - Victor Jia
- University of Michigan, Ann Arbor, Michigan, USA
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Zhang TY, An DA, Zhou H, Ni Z, Wang Q, Chen B, Lu R, Huang J, Zhou Y, Hu J, Kim DH, Wilson M, Mou S, Wu LM. Fractal analysis: Left ventricular trabecular complexity cardiac MRI adds independent risks for heart failure with preserved ejection fraction in participants with end-stage renal disease. Int J Cardiol 2023; 391:131334. [PMID: 37696365 DOI: 10.1016/j.ijcard.2023.131334] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/17/2023] [Accepted: 09/01/2023] [Indexed: 09/13/2023]
Abstract
PURPOSE To measure left ventricular (LV) trabecular complexity by fractal dimension (FD) in patients with end-stage renal disease (ESRD), and assess whether FD was an independent risk factor for heart failure with preserved ejection fraction (HFpEF), or a significant predictor for adverse outcome in this population. METHODS The study retrospectively enrolled 104 participants with ESRD who underwent 3.0 T cardiac magnetic resonance imaging (MRI) from June 2018 to November 2020. LV trabeculation was quantified with fractal analysis of short-axis cine slices to estimate the FD. Logistic regression analyses were used to evaluate FD and cardiac MRI parameters and to find independent risk predictors. Cox proportional hazard regression was used to investigate the association between FD and MACE. RESULTS LV FD was higher in in the HFpEF group than those in the non-HFpEF group, with the greatest difference near the base of the ventricle. Age, minimum left atrial volume index, and LV mean basal FD were independent predictors for HFpEF in patients with ESRD. Combining the mean basal FD with typical predictive factors resulted in a C-index (0.902 vs 0.921), which was not significantly higher. Same improvements were found for net reclassification improvement [0.642; 95% confidence interval (CI), 0.254-1.029] and integrated discrimination index (0.026; 95% CI, 0.008-0.061). Participants with a LV global FD above the cutoff value (1.278) had higher risks of MACE in ESRD patients. CONCLUSIONS LV trabecular complexity measured by FD was an independent risk factor for HFpEF, and a significant predictor for MACE among patients with ESRD.
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Affiliation(s)
- Tian-Yi Zhang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Hang Zhou
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Zhaohui Ni
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Qin Wang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Binghua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Renhua Lu
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Jiaying Huang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yin Zhou
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI 48201, USA
| | - Doo Hee Kim
- Department of Radiology, Wayne State University, Detroit, MI 48201, USA
| | - Molly Wilson
- Department of Radiology, Wayne State University, Detroit, MI 48201, USA
| | - Shan Mou
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center,Ren Ji Hospital, Uremia Diagnosis and Treatment Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
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Petersen SE, Jensen B, Aung N, Friedrich MG, McMahon CJ, Mohiddin SA, Pignatelli RH, Ricci F, Anderson RH, Bluemke DA. Excessive Trabeculation of the Left Ventricle: JACC: Cardiovascular Imaging Expert Panel Paper. JACC Cardiovasc Imaging 2023; 16:408-425. [PMID: 36764891 PMCID: PMC9988693 DOI: 10.1016/j.jcmg.2022.12.026] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 02/10/2023]
Abstract
Excessive trabeculation, often referred to as "noncompacted" myocardium, has been described at all ages, from the fetus to the adult. Current evidence for myocardial development, however, does not support the formation of compact myocardium from noncompacted myocardium, nor the arrest of this process to result in so-called noncompaction. Excessive trabeculation is frequently observed by imaging studies in healthy individuals, as well as in association with pregnancy, athletic activity, and with cardiac diseases of inherited, acquired, developmental, or congenital origins. Adults with incidentally noted excessive trabeculation frequently require no further follow-up based on trabecular pattern alone. Patients with cardiomyopathy and excessive trabeculation are managed by cardiovascular symptoms rather than the trabecular pattern. To date, the prognostic role of excessive trabeculation in adults has not been shown to be independent of other myocardial disease. In neonates and children with excessive trabeculation and normal or abnormal function, clinical caution seems warranted because of the reported association with genetic and neuromuscular disorders. This report summarizes the evidence concerning the etiology, pathophysiology, and clinical relevance of excessive trabeculation. Gaps in current knowledge of the clinical relevance of excessive trabeculation are indicated, with priorities suggested for future research and improved diagnosis in adults and children.
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Affiliation(s)
- Steffen E Petersen
- William Harvey Research Institute, National Institute for Health and Care Research Barts Biomedical Research Centre, Queen Mary University London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United Kingdom.
| | - Bjarke Jensen
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Nay Aung
- William Harvey Research Institute, National Institute for Health and Care Research Barts Biomedical Research Centre, Queen Mary University London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United Kingdom
| | - Matthias G Friedrich
- Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada; Department of Diagnostic Radiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Colin J McMahon
- Department of Paediatric Cardiology, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Saidi A Mohiddin
- William Harvey Research Institute, National Institute for Health and Care Research Barts Biomedical Research Centre, Queen Mary University London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United Kingdom
| | - Ricardo H Pignatelli
- Department of Pediatric Cardiology, Texas Children's Hospital, Houston, Texas, USA
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging, and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Robert H Anderson
- Biosciences Institute, Newcastle University, Newcastle, United Kingdom
| | - David A Bluemke
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
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Polacin M, Károlyi M, Wilzeck V, Eberhard M, Gotschy A, Alkadhi H, Kozerke S, Manka R. Three-dimensional Whole-Heart Cardiac MRI Sequence for Measuring Trabeculation in Left Ventricular Noncompaction. Radiol Cardiothorac Imaging 2022; 4:e220109. [PMID: 36601458 PMCID: PMC9806726 DOI: 10.1148/ryct.220109] [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: 05/31/2022] [Revised: 10/09/2022] [Accepted: 10/19/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE To compare three-dimensional (3D) whole-heart MRI with isotropic submillimeter resolution with standard two-dimensional (2D) cine MRI in measuring the bilayered myocardium in left ventricular noncompaction (LVNC). MATERIALS AND METHODS Twenty-four patients with LVNC (mean age, 42 years ± 16 [SD]) were retrospectively enrolled between October 2011 and July 2020. Compacted myocardium (CM) and noncompacted myocardium (NCM) were measured in long axis (Petersen approach) and short axis (Jacquier approach) at 3D whole-heart and 2D cine MRI by two independent readers. Image quality (1 = excellent, 2 = adequate, 3 = nondiagnostic), considering discrimination between NCM and CM and CM and adjacent tissue, was evaluated. Pearson, Spearman, and intraclass correlation tests were used as statistical tests. RESULTS In long-axis measurements, the correlation between both sequences was moderate to strong for CM (Pearson, 0.66-0.79; Spearman, 0.61-0.68) and strong to very strong for NCM (Pearson, 0.90-0.97; Spearman, 0.77-0.91). Intraclass correlation coefficient (ICC) in 3D whole-heart MRI was 0.90 (95% CI: 0.78, 0.95) for CM and 0.94 (95% CI: 0.84, 0.97) for NCM, while ICC in 2D cine MRI was 0.77 (95% CI: 0.55, 0.89) for CM and 0.87 (95% CI: 0.72, 0.94) for NCM. Short-axis CM and NCM measurements had a strong to very strong correlation between both sequences (Pearson, 0.86-0.98; Spearman, 0.82-0.98). ICC in 3D whole-heart MRI was 0.96 (95% CI: 0.94, 0.99) for CM and 0.98 (95% CI: 0.97, 0.99) for NCM, while ICC in 2D cine MRI was 0.82 (95% CI: 0.63, 0.92) for CM and 0.87 (95% CI: 0.72, 0.94) for NCM. 3D whole-heart MRI demonstrated higher image quality than did 2D cine MRI (P < .001). CONCLUSION 3D whole-heart MRI revealed higher image quality, with better structure discrimination and interobserver agreement in LVNC measurements, compared with standard 2D cine images.Keywords: MR Imaging, Cardiac, Cardiovascular Magnetic Resonance, Left Ventricular Noncompaction, Free-breathing Imaging Technique Supplemental material is available for this article. © RSNA, 2022See also the commentary by Jensen and Petersen in this issue.
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Left Ventricular Non-Compaction Cardiomyopathy-Still More Questions than Answers. J Clin Med 2022; 11:jcm11144135. [PMID: 35887898 PMCID: PMC9315982 DOI: 10.3390/jcm11144135] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 12/24/2022] Open
Abstract
Left ventricular non-compaction (LVNC) describes the phenotypical phenomena characterized by the presence of excessive trabeculation of the left ventricle which forms a deep recess filled with blood. Considering the lack of a uniform definition of LVNC as well as the "golden standard" it is difficult to estimate the actual incidence of the disease, however, seems to be overdiagnosed, due to unspecific diagnostic criteria. The non-compacted myocardium may appear both as a disease representation or variant of the norm or as an adaptive phenomenon. This article covers different approaches to incidence, pathogenesis, diagnostics, and treatment of LVNC as well as recommendations for patients during follow-up.
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Inhibition of SphK1/S1P Signaling Pathway Alleviates Fibrosis and Inflammation of Rat Myocardium after Myocardial Infarction. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:5985375. [PMID: 35872958 PMCID: PMC9300330 DOI: 10.1155/2022/5985375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 11/25/2022]
Abstract
Objective The sphingosine kinase 1 (SphK1)/sphingosine-1-phosphate (S1P) signaling pathway is involved in fibrosis and inflammatory responses of myocardial tissue after myocardial infarction (MI). The purpose of our study was to explore the role of SphK1/S1P signaling pathway in myocardial injury after MI. Materials and Methods We used Sprague-Dawley (SD) rats to make MI models and detected the changes of SphK1 and S1P in rats at 1, 7, and 14 days after MI. SphK1 inhibitor PF543 was used to treat MI rats, and we detected the changes in myocardial function and structure in rats by cardiac function test, 2,3,5-triphenyl tetrazolium staining, and histological staining. In addition, we used H2O2 to induce H9c2 cell injury to investigate the effect of PF543 on the viability of myocardial cells. Results Myocardial tissue lesions and fibrosis were observed at 7 and 14 days after MI, and the expressions of SphK1 and S1P in the injured myocardial tissues increased significantly in day 7 and day 14 in comparison to the control group. After treatment of MI rats with PF543, the structure of rat myocardial tissue was significantly improved and the degree of fibrosis was reduced. After MI, the expression of α-SMA and collagen I in the myocardium of rats was significantly increased while PF543 decreased their expression. PF543 also improved the cardiac function of MI rats and reduced the expression of IL-1β, IL-6, and TNF-α in the serum. PF543 also increased the viability of H9c2 cells in vitro. Conclusions The inhibition of the SphK1/S1P signaling pathway contributed to the relief of myocardial injury in MI rats. PF543 improved the myocardial structure and function of MI rats and reduced the level of fibrosis and inflammation in MI rats.
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Ojha V, Khalique OK, Khurana R, Lorenzatti D, Leung SW, Lawton B, Slesnick TC, Cavalcante JC, Ducci CB, Patel AR, Prieto CC, Plein S, Raman SV, Salerno M, Parwani P. Highlights of the Virtual Society for Cardiovascular Magnetic Resonance 2022 Scientific Conference: CMR: improving cardiovascular care around the world. J Cardiovasc Magn Reson 2022; 24:38. [PMID: 35725565 PMCID: PMC9207863 DOI: 10.1186/s12968-022-00870-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/08/2022] [Indexed: 11/25/2022] Open
Abstract
The 25th Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions saw 1524 registered participants from more than 50 countries attending the meeting virtually. Supporting the theme "CMR: Improving Cardiovascular Care Around the World", the meeting included 179 invited talks, 52 sessions including 3 plenary sessions, 2 keynote talks, and a total of 93 cases and 416 posters. The sessions were designed so as to showcase the multifaceted role of cardiovascular magnetic resonance (CMR) in identifying and prognosticating various myocardial pathologies. Additionally, various social networking sessions as well as fun activities were organized. The major areas of focus for the future are likely to be rapid efficient and high value CMR exams, automated and quantitative acquisition and post-processing using artificial intelligence and machine learning, multi-contrast imaging and advanced vascular imaging including 4D flow.
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Affiliation(s)
- Vineeta Ojha
- All India Institute of Medical Sciences, New Delhi, India
| | | | | | | | - Steve W Leung
- Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY, USA
| | | | | | | | | | - Amit R Patel
- Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA
| | - Claudia C Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Subha V Raman
- Indiana University Cardiovascular Institute and Krannert Cardiovascular Research Center, Indianapolis, IN, USA
| | - Michael Salerno
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Purvi Parwani
- Division of Cardiology, Department of Medicine, Loma Linda University Health, Loma Linda University Medical Center, Loma Linda, CA, USA.
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MR -specific characteristics of left ventricular noncompaction and dilated cardiomyopathy. Int J Cardiol 2022; 359:69-75. [DOI: 10.1016/j.ijcard.2022.04.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/05/2022] [Accepted: 04/08/2022] [Indexed: 11/17/2022]
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Tavares de Melo MD, Araujo-Filho JDAB, Barbosa JR, Rocon C, Miranda Regis CD, dos Santos Felix A, Kalil Filho R, Bocchi EA, Hajjar LA, Tabassian M, D’hooge J, Salemi VMC. A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy. PLoS One 2021; 16:e0260195. [PMID: 34843536 PMCID: PMC8629285 DOI: 10.1371/journal.pone.0260195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 11/05/2021] [Indexed: 11/19/2022] Open
Abstract
Aims Noncompaction cardiomyopathy (NCC) is considered a genetic cardiomyopathy with unknown pathophysiological mechanisms. We propose to evaluate echocardiographic predictors for rigid body rotation (RBR) in NCC using a machine learning (ML) based model. Methods and results Forty-nine outpatients with NCC diagnosis by echocardiography and magnetic resonance imaging (21 men, 42.8±14.8 years) were included. A comprehensive echocardiogram was performed. The layer-specific strain was analyzed from the apical two-, three, four-chamber views, short axis, and focused right ventricle views using 2D echocardiography (2DE) software. RBR was present in 44.9% of patients, and this group presented increased LV mass indexed (118±43.4 vs. 94.1±27.1g/m2, P = 0.034), LV end-diastolic and end-systolic volumes (P< 0.001), E/e’ (12.2±8.68 vs. 7.69±3.13, P = 0.034), and decreased LV ejection fraction (40.7±8.71 vs. 58.9±8.76%, P < 0.001) when compared to patients without RBR. Also, patients with RBR presented a significant decrease of global longitudinal, radial, and circumferential strain. When ML model based on a random forest algorithm and a neural network model was applied, it found that twist, NC/C, torsion, LV ejection fraction, and diastolic dysfunction are the strongest predictors to RBR with accuracy, sensitivity, specificity, area under the curve of 0.93, 0.99, 0.80, and 0.88, respectively. Conclusion In this study, a random forest algorithm was capable of selecting the best echocardiographic predictors to RBR pattern in NCC patients, which was consistent with worse systolic, diastolic, and myocardium deformation indices. Prospective studies are warranted to evaluate the role of this tool for NCC risk stratification.
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Affiliation(s)
- Marcelo Dantas Tavares de Melo
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | | | - Camila Rocon
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- Sírio Libanês Hospital, São Paulo, Brazil
| | | | | | - Roberto Kalil Filho
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- Sírio Libanês Hospital, São Paulo, Brazil
| | - Edimar Alcides Bocchi
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Ludhmila Abrahão Hajjar
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Mahdi Tabassian
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Jan D’hooge
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Vera Maria Cury Salemi
- Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- Sírio Libanês Hospital, São Paulo, Brazil
- * E-mail:
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Kiss AR, Gregor Z, Furak A, Tóth A, Horváth M, Szabo L, Czimbalmos C, Dohy Z, Merkely B, Vago H, Szucs A. Left ventricular characteristics of noncompaction phenotype patients with good ejection fraction measured with cardiac magnetic resonance. Anatol J Cardiol 2021; 25:565-571. [PMID: 34369884 DOI: 10.5152/anatoljcardiol.2021.25905] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE We describe left ventricular (LV) volumes, myocardial and trabeculated muscle mass and strains with Cardiac magnetic resonance of a large cohort (n=81) who fulfilled the morphologic criteria of left ventricular noncompaction (LVNC) and had good ejection fraction (EF >55%) and compare them with healthy controls (n=81). Male and female patients were compared to matched controls and to each other. We also investigated the LV trabeculated muscle mass cutoff in male and female patients with LVNC. METHODS 81 participants with LVNC and 81 healthy controls were included. Male and female patients were compared to matched controls and to each other. We also investigated the left ventricular trabeculated muscle mass cut-off in male and female LVNC patients. RESULTS The LV parameters of the LVNC population were normal, but they had significantly higher volumes, myocardial and trabeculated muscle mass, and a significantly smaller EF than the controls. Similar differences were observed after stratifying by sex. The optimal LV trabeculated muscle mass cutoffs were 25.8 g/m2 in men (area under the curve: 0.81) and 19.0 g/m2 in women (area under the curve: 0.87). The patients had normal global strains but a significantly worse global circumferential strain (patients vs controls: -29.9±4.9 vs. -35.8±4.7%, p<0.05) and significantly higher circumferential mechanical dispersion than the controls (patients vs. controls: 7.6±4.2 vs. 6.1±2.8%; p<0.05). No disease-related strain differences were noted between men and women. CONCLUSION The LV functional and strain characteristics of the LVNC cohort differed significantly from those of healthy participants; this might be caused by increased LV trabeculation, and its clinical relevance might be questionable. The LV trabeculated muscle mass was very different between men and women; thus, the use of sex-specific morphologic diagnostic criteria should be considered.
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Affiliation(s)
- Anna Reka Kiss
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Zsófia Gregor
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Adam Furak
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Attila Tóth
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Márton Horváth
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Liliana Szabo
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | | | - Zsofia Dohy
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Bela Merkely
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Hajnalka Vago
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
| | - Andrea Szucs
- Semmelweis University Heart and Vascular Center; Budapest-Hungary
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Sigvardsen PE, Fuchs A, Kühl JT, Afzal S, Køber L, Nordestgaard BG, Kofoed KF. Left ventricular trabeculation and major adverse cardiovascular events: the Copenhagen General Population Study. Eur Heart J Cardiovasc Imaging 2021; 22:67-74. [PMID: 32386205 DOI: 10.1093/ehjci/jeaa110] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 04/19/2020] [Indexed: 12/13/2022] Open
Abstract
AIMS Prominent left ventricular trabeculations is a phenotypic trait observed in cardiovascular diseases. In the general population, the extent of left ventricular trabeculations is highly variable, yet it is unknown whether increased trabeculation is associated with adverse outcome. METHODS AND RESULTS Left ventricular trabeculated mass (g/m2) was measured with contrast-enhanced cardiac computed tomography in 10 097 individuals from the Copenhagen General Population Study. The primary endpoint was a composite of major adverse cardiovascular events and defined as death, heart failure, myocardial infarction, or stroke. The secondary endpoints were the individual components of the primary endpoint. Cox regression models were adjusted for clinical parameters, medical history, electrocardiographic parameters, and cardiac chamber sizes. The mean trabeculated mass was 19.1 g/m2 (standard deviation 4.9 g/m2). During a median follow-up of 4.0 years (interquartile range 1.5-6.7), 710 major adverse cardiovascular events occurred in 619 individuals. Individuals with a left ventricular trabeculated mass in the highest quartile had a hazard ratio for major adverse cardiovascular events of 1.64 [95% confidence interval (CI) 1.30-2.08; P < 0.001] compared to those in the lowest quartile. Corresponding hazard ratios were 2.08 (95% CI 1.38-3.14; P < 0.001) for death, 2.63 (95% CI 1.61-4.31; P < 0.001) for heart failure, 1.08 (95% CI 0.56-2.08; P = 0.82) for myocardial infarction, and 1.07 (95% CI 0.72-1.57; P = 0.74) for stroke. CONCLUSION Increased left ventricular trabeculation is independently associated with an increased rate of major adverse cardiovascular events in the general population.
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Affiliation(s)
- Per E Sigvardsen
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Fuchs
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Jørgen T Kühl
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Shoaib Afzal
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Lars Køber
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Klaus F Kofoed
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Radiology, The Diagnostic Center, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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12
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Changes in strain parameters at different deterioration levels of left ventricular function: A cardiac magnetic resonance feature-tracking study of patients with left ventricular noncompaction. Int J Cardiol 2021; 331:124-130. [PMID: 33577906 DOI: 10.1016/j.ijcard.2021.01.072] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/25/2020] [Accepted: 01/28/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND There is a lack of cardiac MRI information on left ventricular (LV) strain and rotational parameters of left ventricular noncompaction (LVNC) patients with reduced ejection fraction (EF). Thus, we sought to use feature tracking (FT) to describe these changes at different levels of EF deterioration. METHODS We included 31 adult LVNC patients with reduced LV EF (Group B, EF < 50%) without any comorbidities or concomitant cardiac diseases, 31 age- and sex-matched LVNC patients with good EF (Group A, EF > 50%) and 31 healthy controls. Group B was divided according to LV EF into two subgroups (Group B-1: EF 35-50%, Group B-2: EF < 35%). Their global longitudinal, circumferential (GCS), and radial (GRS) strains; LV segmental strains; LV apical and basal rotation values; and patterns and degree of LV dyssynchrony were measured. RESULTS All of the global and mean segmental strain parameters were significantly worse in Groups B, B-1 and B-2 than in Group A and in the controls. The LV mechanical dispersion increased as LV EF decreased. The degree of apical rotation was the highest in the control group, almost the same in Group A and the lowest and in the reverse direction in Group B-2. A rotational pattern, clockwise-directed rigid body rotation (RBR), was found in 39% of the Group B patients, and a counterclockwise-directed RBR was found in 26% of the Group A patients. CONCLUSIONS The strain values and rotational parameters changed as the EF decreased. These changes affected the global LV, and we did not identify an LVNC-specific strain pattern.
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13
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Wang J, Li Y, Yang F, Bravo L, Wan K, Xu Y, Cheng W, Sun J, Zhu Y, Zhu T, Gkoutos GV, Han Y, Chen Y. Fractal Analysis: Prognostic Value of Left Ventricular Trabecular Complexity Cardiovascular MRI in Participants with Hypertrophic Cardiomyopathy. Radiology 2020; 298:71-79. [PMID: 33078997 DOI: 10.1148/radiol.2020202261] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background The prognostic value of myocardial trabecular complexity in patients with hypertrophic cardiomyopathy (HCM) is unknown. Purpose To explore the prognostic value of myocardial trabecular complexity using fractal analysis in participants with HCM. Materials and Methods The authors prospectively enrolled participants with HCM who underwent 3.0-T cardiovascular MRI from August 2011 to October 2017. The authors also enrolled 100 age- and sex-matched healthy participants to form a comparison group. Trabeculae were quantified with fractal analysis of cine slices to estimate the fractal dimension (FD). Participants with HCM were divided into normal and high FD groups according to the upper limit of normal reference value from the healthy group. The primary end point was defined as all-cause mortality and aborted sudden cardiac death. The secondary end point was the composite of the primary end point and readmission to the hospital owing to heart failure. Internal validation was performed using the bootstrapping method. Results A total of 378 participants with HCM (median age, 50 years; age range, 40-61 years; 207 men) and 100 healthy participants (median age, 46 years; age range, 36-59 years; 55 women) were included in this study. During the median follow-up of 33 months ± 18 (standard deviation), the increased maximal apical FD (≥1.325) had a higher risk of the primary and secondary end points than those with a normal FD (<1.325) (P = .01 and P = .04, respectively). Furthermore, Cox analysis revealed that left ventricular maximal apical FD (hazard ratio range, 1.001-1.008; all P < .05) provided significant prognostic value to predict the primary and secondary end points after adjustment for the European Society of Cardiology predictors and late gadolinium enhancement. Internal validation showed that left ventricular maximal apical FD retained a good performance in predicting the primary end points with an area under the curve of 0.70 ± 0.03. Conclusion Left ventricular apical fractal dimension, which reflects myocardial trabecular complexity, was an independent predictor of the primary and secondary end points in patients with hypertrophic cardiomyopathy. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Captur and Moon in this issue.
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Affiliation(s)
- Jie Wang
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Yuancheng Li
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Fuyao Yang
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Laura Bravo
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Ke Wan
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Yuanwei Xu
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Wei Cheng
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Jiayu Sun
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Yanjie Zhu
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Tingxi Zhu
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Georgios V Gkoutos
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Yuchi Han
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
| | - Yucheng Chen
- From the Department of Cardiology (J.W., Y.L., F.Y., Y.X., Y.C.), Department of Radiology (W.C., J.S., Y.C.), Department of Geriatrics (K.W.), Center of Rare Diseases (Y.C.), and Medical Big Data Center (T.Z.), West China Hospital, Sichuan University, Guoxue Xiang No. 37, Chengdu, Sichuan 610041, China; Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P. R. China (Y.Z.); College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.W., L.B., G.V.G.); Medical Research Council Health Data Research, Midlands Site, Birmingham, England (G.V.G.); and Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, Pa (Y.H.)
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Zhao J, Miao G, Wang T, Li J, Xie L. Urantide attenuates myocardial damage in atherosclerotic rats by regulating the MAPK signalling pathway. Life Sci 2020; 262:118551. [PMID: 33038370 DOI: 10.1016/j.lfs.2020.118551] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/21/2020] [Accepted: 09/30/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To explore the effect of urantide on atherosclerotic myocardial injury by antagonizing the urotensin II/urotensin II receptor (UII/UT) system and regulating the mitogen-activated protein kinase (MAPK) signalling pathway. METHODS Atherosclerosis (AS) was established in rats by administering a high-fat diet and an intraperitoneal injection of vitamin D3. The effect of treatment with urantide (30 μg/kg), a UII receptor antagonist, for 3, 7, or 14 days on AS-induced myocardial damage was evaluated. RESULTS The heart of rats with AS exhibited pathological changes suggestive of myocardial injury, and the serum levels of creatine kinase (CK) and lactate dehydrogenase (LDH) were significantly increased. Additionally, significant increases in the levels of UII, its receptor (G protein-coupled receptor 14, GPR14), p-P38, p-extracellular signal-regulated kinase (ERK) and p-c-Jun N-terminal kinase (JNK) were observed in the heart. Urantide improved pathological changes in the heart of rats with AS and reduced the serum CK and LDH levels. Additionally, the UII antagonist decreased the increased levels of UII, GPR14, p-P38, p-ERK and p-JNK in the heart. CONCLUSIONS Urantide alleviates atherosclerotic myocardial injury by inhibiting the UII-GPR14 interaction and regulating the MAPK signalling pathway. We hypothesized that myocardial injury may be associated with the regulation of the MAPK signalling pathway.
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Affiliation(s)
- Juan Zhao
- Chengde Medical University, Chengde, Hebei 067000, China
| | - Guangxin Miao
- Chengde Medical University, Chengde, Hebei 067000, China
| | - Tu Wang
- Chengde Medical University, Chengde, Hebei 067000, China
| | - Jian Li
- Chengde Central Hospital, Chengde, Hebei 067000, China.
| | - Lide Xie
- Chengde Medical University, Chengde, Hebei 067000, China.
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15
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Towbin JA, McKenna WJ, Abrams DJ, Ackerman MJ, Calkins H, Darrieux FCC, Daubert JP, de Chillou C, DePasquale EC, Desai MY, Estes NAM, Hua W, Indik JH, Ingles J, James CA, John RM, Judge DP, Keegan R, Krahn AD, Link MS, Marcus FI, McLeod CJ, Mestroni L, Priori SG, Saffitz JE, Sanatani S, Shimizu W, van Tintelen JP, Wilde AAM, Zareba W. 2019 HRS expert consensus statement on evaluation, risk stratification, and management of arrhythmogenic cardiomyopathy. Heart Rhythm 2019; 16:e301-e372. [PMID: 31078652 DOI: 10.1016/j.hrthm.2019.05.007] [Citation(s) in RCA: 436] [Impact Index Per Article: 87.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Indexed: 02/08/2023]
Abstract
Arrhythmogenic cardiomyopathy (ACM) is an arrhythmogenic disorder of the myocardium not secondary to ischemic, hypertensive, or valvular heart disease. ACM incorporates a broad spectrum of genetic, systemic, infectious, and inflammatory disorders. This designation includes, but is not limited to, arrhythmogenic right/left ventricular cardiomyopathy, cardiac amyloidosis, sarcoidosis, Chagas disease, and left ventricular noncompaction. The ACM phenotype overlaps with other cardiomyopathies, particularly dilated cardiomyopathy with arrhythmia presentation that may be associated with ventricular dilatation and/or impaired systolic function. This expert consensus statement provides the clinician with guidance on evaluation and management of ACM and includes clinically relevant information on genetics and disease mechanisms. PICO questions were utilized to evaluate contemporary evidence and provide clinical guidance related to exercise in arrhythmogenic right ventricular cardiomyopathy. Recommendations were developed and approved by an expert writing group, after a systematic literature search with evidence tables, and discussion of their own clinical experience, to present the current knowledge in the field. Each recommendation is presented using the Class of Recommendation and Level of Evidence system formulated by the American College of Cardiology and the American Heart Association and is accompanied by references and explanatory text to provide essential context. The ongoing recognition of the genetic basis of ACM provides the opportunity to examine the diverse triggers and potential common pathway for the development of disease and arrhythmia.
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Affiliation(s)
- Jeffrey A Towbin
- Le Bonheur Children's Hospital, Memphis, Tennessee; University of Tennessee Health Science Center, Memphis, Tennessee
| | - William J McKenna
- University College London, Institute of Cardiovascular Science, London, United Kingdom
| | | | | | | | | | | | | | | | | | - N A Mark Estes
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Wei Hua
- Fu Wai Hospital, Beijing, China
| | - Julia H Indik
- University of Arizona, Sarver Heart Center, Tucson, Arizona
| | - Jodie Ingles
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute, The University of Sydney, Sydney, Australia
| | | | - Roy M John
- Vanderbilt University Medical Center, Nashville, Tennessee
| | - Daniel P Judge
- Medical University of South Carolina, Charleston, South Carolina
| | - Roberto Keegan
- Hospital Privado Del Sur, Buenos Aires, Argentina; Hospital Español, Bahia Blanca, Argentina
| | | | - Mark S Link
- UT Southwestern Medical Center, Dallas, Texas
| | - Frank I Marcus
- University of Arizona, Sarver Heart Center, Tucson, Arizona
| | | | - Luisa Mestroni
- University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Silvia G Priori
- University of Pavia, Pavia, Italy; European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart); ICS Maugeri, IRCCS, Pavia, Italy
| | | | | | - Wataru Shimizu
- Department of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan
| | - J Peter van Tintelen
- University of Amsterdam, Academic Medical Center, Amsterdam, the Netherlands; Utrecht University Medical Center Utrecht, University of Utrecht, Department of Genetics, Utrecht, the Netherlands
| | - Arthur A M Wilde
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart); University of Amsterdam, Academic Medical Center, Amsterdam, the Netherlands; Department of Medicine, Columbia University Irving Medical Center, New York, New York
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Kobayashi K, Wakasa S, Sato K, Kanai S, Date H, Kimura S, Oyama-Manabe N, Matsui Y. Quantitative analysis of regional endocardial geometry dynamics from 4D cardiac CT images: endocardial tracking based on the iterative closest point with an integrated scale estimation. ACTA ACUST UNITED AC 2019; 64:055009. [DOI: 10.1088/1361-6560/ab009a] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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17
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Shang Y, Zhang X, Leng W, Lei X, Chen L, Zhou X, Chow K, Shi Y, Dong J, Liang Z, Wang J. Increased fractal dimension of left ventricular trabeculations is associated with subclinical diastolic dysfunction in patients with type-2 diabetes mellitus. Int J Cardiovasc Imaging 2018; 35:665-673. [PMID: 30430327 DOI: 10.1007/s10554-018-1492-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 10/31/2018] [Indexed: 12/31/2022]
Abstract
The aim of this study was to investigate the relationship among left ventricular (LV) concentric hypertrophy, endocardial remodeling, and myocardial deformation in type-2 diabetes mellitus (T2DM). Fifty-three T2DM patients with normotension and 36 healthy controls underwent cardiovascular magnetic resonance imaging to assess for LV concentric hypertrophy (LV myocardial mass index, LVMMi; LVMMi-to-LV end-diastolic volume index ratio, MVR), endocardial remodeling (fractal dimension of trabeculations, FD), and myocardial deformation (global longitudinal, radial and circumferential strain, systolic and diastolic strain rate). When compared with healthy controls, T2DM was associated with LV concentric hypertrophy (LVMMi: T2DM, 52.7 ± 8.9 g/m2; controls, 48.7 ± 8.4 g/m2, p = 0.032; MVR: T2DM, 0.88 ± 0.19 g/mL; controls, 0.77 ± 0.16 g/mL, p = 0.007), endocardial remodeling (max. apical FD: T2DM, 1.265 ± 0.056; controls, 1.233 ± 0.055, p = 0.008; mean apical FD: T2DM, 1.198 ± 0.043; controls, 1.176 ± 0.043, p = 0.020), and subtle diastolic dysfunction (peak longitudinal diastolic strain rate, PDSRL: T2DM, 1.1 ± 0.2/s; controls, 1.2 ± 0.3/s, p = 0.031). In the stepwise multivariable regression model, the MVR was an independent determinant of the maximum apical FD (standardized β, sβ = 0.525, p < 0.001) and mean apical FD (sβ = 0.568, p < 0.001). The mean apical FD was an independent determinant of the PDSRL (p = 0.004). LV concentric hypertrophy is an independent determinant of endocardial remodeling, a process that may contribute to subtle LV diastolic dysfunction in T2DM patients.
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MESH Headings
- Adult
- Asymptomatic Diseases
- Case-Control Studies
- Cross-Sectional Studies
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/diagnosis
- Diabetic Cardiomyopathies/diagnostic imaging
- Diabetic Cardiomyopathies/etiology
- Diabetic Cardiomyopathies/physiopathology
- Diastole
- Female
- Fibrosis
- Fractals
- Heart Ventricles/diagnostic imaging
- Heart Ventricles/physiopathology
- Humans
- Hypertrophy, Left Ventricular/diagnostic imaging
- Hypertrophy, Left Ventricular/etiology
- Hypertrophy, Left Ventricular/physiopathology
- Image Interpretation, Computer-Assisted
- Magnetic Resonance Imaging, Cine
- Male
- Middle Aged
- Observer Variation
- Predictive Value of Tests
- Prospective Studies
- Reproducibility of Results
- Ventricular Dysfunction, Left/diagnostic imaging
- Ventricular Dysfunction, Left/etiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Function, Left
- Ventricular Remodeling
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Affiliation(s)
- Yongning Shang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Xiaochun Zhang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China.
| | - Weiling Leng
- Department of Endocrinology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Xiaotian Lei
- Department of Endocrinology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Liu Chen
- Department of Endocrinology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthcare Ltd., Shanghai, China
| | - Kelvin Chow
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, USA
| | - Yanshu Shi
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Jianlong Dong
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China
| | - Ziwen Liang
- Department of Endocrinology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China.
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street No. 30, Shapingba District, Chongqing, China.
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Abela M, D’Silva A. Left Ventricular Trabeculations in Athletes: Epiphenomenon or Phenotype of Disease? CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2018; 20:100. [PMID: 30367273 PMCID: PMC6209014 DOI: 10.1007/s11936-018-0698-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW Excessive trabeculation attracting a diagnosis of left ventricular noncompaction cardiomyopathy (LVNC) has been reported in ostensibly healthy athletes. This review aims to explain why this occurs and whether this represents a spectrum of athletic physiological remodelling or unmasking of occult cardiomyopathy. RECENT FINDINGS Genetic studies have yet to identify a dominant mutation associated with the LVNC phenotype and reported gene mutations overlap with many distinct cardiomyopathies and ion channel disorders, implying that the phenotype is shared across different genetic conditions. Large contemporary cohort studies indicate that current LVNC imaging criteria are oversensitive and not predictive of adverse clinical outcomes. The majority of excessive LV trabeculation, as assessed by current quantification methods, is not due to cardiomyopathy but forms part of the normal continuum in health with potential contributions from cardiac remodelling processes. The study of rare, severe LVNC phenotypes may yield insights into an underlying molecular pathogenesis but in the absence of a universally accepted definition, contamination with aetiologically distinct conditions expressing a similar phenotype will remain an issue. Automated, objective quantification of trabeculation will help to define the normal distribution using big data without the constraint of wide interobserver variation.
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Affiliation(s)
- Mark Abela
- Cardiology Clinical Academic Group, St George’s, University of London, Cranmer Terrace, London, SW17 0RE UK
- MSc Sports Cardiology, Cardiology Clinical Academic Group, St George’s, University of London, London, UK
| | - Andrew D’Silva
- Cardiology Clinical Academic Group, St George’s, University of London, Cranmer Terrace, London, SW17 0RE UK
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van Waning JI, Majoor-Krakauer D. Reply: Different Outcomes and Additional Gene Testing. J Am Coll Cardiol 2018; 71:2865-2866. [PMID: 29903362 DOI: 10.1016/j.jacc.2018.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 04/09/2018] [Indexed: 11/18/2022]
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Nucifora G, Sree Raman K, Muser D, Shah R, Perry R, Awang Ramli KA, Selvanayagam JB. Cardiac magnetic resonance evaluation of left ventricular functional, morphological, and structural features in children and adolescents vs. young adults with isolated left ventricular non-compaction. Int J Cardiol 2018; 246:68-73. [PMID: 28867022 DOI: 10.1016/j.ijcard.2017.05.100] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 05/21/2017] [Accepted: 05/30/2017] [Indexed: 02/06/2023]
Abstract
AIM To investigate the left ventricular (LV) functional, morphological, and structural features revealed by cardiac magnetic resonance (CMR) in children/adolescents with isolated LV non-compaction (iLVNC), and to compare them with those observed in young adults with iLVNC and healthy controls. METHODS 56 subjects were included: 12 children/adolescents (mean age 15±3years, 75% male) and 20 young adults (mean age 35±7years, 75% male) with first diagnosis of iLVNC, 12 healthy children/adolescents (mean age 15±3years, 75% male) and 12 healthy young adults (mean age 34±8years, 75% male). CMR with late gadolinium enhancement (LGE) imaging was performed to evaluate LV function, extent of LV trabeculation, and presence/extent of LV LGE, a surrogate of myocardial fibrosis. Tissue-tracking analysis was applied to assess LV global longitudinal (GLS), circumferential (GCS) and radial (GRS) strain. RESULTS The extent of LVNC and the presence/extent of LV LGE in children/adolescents and young adults with iLVNC were similar. Compared to healthy subjects, young adults with iLVNC had significantly lower LVEF; conversely, no significant difference in this parameter was observed between children/adolescents with iLVNC and healthy subjects. However, compared to healthy subjects, LV strain parameters were lower in both children/adolescents and young adults with iLVNC. CONCLUSIONS Complete phenotypic expression, subclinical impairment of myocardial deformation properties, and cardiac injury occur early in iLVNC patients, being already noticeable in the pediatric age group. The application of CMR myocardial deformation imaging permits earlier detection of LV functional impairment in children/adolescents with iLVNC, which would otherwise be missed with standard CMR imaging.
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Affiliation(s)
- Gaetano Nucifora
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, Australia; Northwest Heart Centre, Wythenshawe Hospital, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK.
| | - Karthigesh Sree Raman
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, Australia
| | - Daniele Muser
- Division of Cardiology, University Hospital "Santa Maria della Misericordia", Udine, Italy
| | - Ranjit Shah
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, Australia
| | - Rebecca Perry
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, Adelaide, Australia
| | - Kama A Awang Ramli
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia
| | - Joseph B Selvanayagam
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, Adelaide, Australia
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Cai J, Bryant JA, Le TT, Su B, de Marvao A, O’Regan DP, Cook SA, Chin CWL. Fractal analysis of left ventricular trabeculations is associated with impaired myocardial deformation in healthy Chinese. J Cardiovasc Magn Reson 2017; 19:102. [PMID: 29241460 PMCID: PMC5729602 DOI: 10.1186/s12968-017-0413-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 11/23/2017] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Left ventricular (LV) non-compaction (LVNC) is defined by extreme LV trabeculation, but is measured variably. Here we examined the relationship between quantitative measurement in LV trabeculation and myocardial deformation in health and disease and determined the clinical utility of semi-automated assessment of LV trabeculations. METHODS Cardiovascular magnetic resonance (CMR) was performed in 180 healthy Singaporean Chinese (age 20-69 years; males, n = 91), using balanced steady state free precession cine imaging at 3T. The degree of LV trabeculation was assessed by fractal dimension (FD) as a robust measure of trabeculation complexity using a semi-automated technique. FD measures were determined in healthy men and women to derive normal reference ranges. Myocardial deformation was evaluated using feature tracking. We tested the utility of this algorithm and the normal ranges in 10 individuals with confirmed LVNC (non-compacted/compacted; NC/C ratio > 2.3 and ≥1 risk factor for LVNC) and 13 individuals with suspected disease (NC/C ratio > 2.3). RESULTS Fractal analysis is a reproducible means of assessing LV trabeculation extent (intra-class correlation coefficient: intra-observer, 0.924, 95% CI [0.761-0.973]; inter-observer, 0.925, 95% CI [0.821-0.970]). The overall extent of LV trabeculation (global FD: 1.205 ± 0.031) was independently associated with increased indexed LV end-diastolic volume and mass (sβ = 0.35; p < 0.001 and sβ = 0.13; p < 0.01, respectively) after adjusting for age, sex and body mass index. Increased LV trabeculation was independently associated with reduced global circumferential strain (sβ = 0.17, p = 0.013) and global diastolic circumferential and radial strain rates (sβ = 0.25, p < 0.001 and sβ = -0.15, p = 0.049, respectively). Abnormally high FD was observed in all patients with a confirmed diagnosis of LVNC. Five out of 13 individuals with suspected LVNC had normal FD, despite NC/C > 2.3. CONCLUSION This study defines the normal range of LV trabeculation in healthy Chinese that can be used to make or refute a diagnosis of LVNC using the fractal analysis tool, which we make freely available. We also show that increased myocardial trabeculation is associated with higher LV volumes, mass and reduced myocardial strain.
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Affiliation(s)
- Jiashen Cai
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Jennifer Ann Bryant
- Department of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609 Singapore
| | - Thu-Thao Le
- Department of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609 Singapore
| | - Boyang Su
- Department of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609 Singapore
| | | | | | - Stuart A. Cook
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Department of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609 Singapore
- MRC London Institute of Medical Sciences, London, UK
| | - Calvin Woon-Loong Chin
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Department of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609 Singapore
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Vedula V, Lee J, Xu H, Kuo CCJ, Hsiai TK, Marsden AL. A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling. PLoS Comput Biol 2017; 13:e1005828. [PMID: 29084212 PMCID: PMC5679653 DOI: 10.1371/journal.pcbi.1005828] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 11/09/2017] [Accepted: 10/15/2017] [Indexed: 01/09/2023] Open
Abstract
Blood flow and mechanical forces in the ventricle are implicated in cardiac development and trabeculation. However, the mechanisms of mechanotransduction remain elusive. This is due in part to the challenges associated with accurately quantifying mechanical forces in the developing heart. We present a novel computational framework to simulate cardiac hemodynamics in developing zebrafish embryos by coupling 4-D light sheet imaging with a stabilized finite element flow solver, and extract time-dependent mechanical stimuli data. We employ deformable image registration methods to segment the motion of the ventricle from high resolution 4-D light sheet image data. This results in a robust and efficient workflow, as segmentation need only be performed at one cardiac phase, while wall position in the other cardiac phases is found by image registration. Ventricular hemodynamics are then quantified by numerically solving the Navier-Stokes equations in the moving wall domain with our validated flow solver. We demonstrate the applicability of the workflow in wild type zebrafish and three treated fish types that disrupt trabeculation: (a) chemical treatment using AG1478, an ErbB2 signaling inhibitor that inhibits proliferation and differentiation of cardiac trabeculation; (b) injection of gata1a morpholino oligomer (gata1aMO) suppressing hematopoiesis and resulting in attenuated trabeculation; (c) weak-atriumm58 mutant (wea) with inhibited atrial contraction leading to a highly undeveloped ventricle and poor cardiac function. Our simulations reveal elevated wall shear stress (WSS) in wild type and AG1478 compared to gata1aMO and wea. High oscillatory shear index (OSI) in the grooves between trabeculae, compared to lower values on the ridges, in the wild type suggest oscillatory forces as a possible regulatory mechanism of cardiac trabeculation development. The framework has broad applicability for future cardiac developmental studies focused on quantitatively investigating the role of hemodynamic forces and mechanotransduction during morphogenesis.
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Affiliation(s)
- Vijay Vedula
- Department of Pediatrics (Cardiology), Stanford University, Stanford, California, United States of America
| | - Juhyun Lee
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Hao Xu
- Department of Electrical Engineering, University of Southern California, Los Angeles, California, United States of America
| | - C.-C. Jay Kuo
- Department of Electrical Engineering, University of Southern California, Los Angeles, California, United States of America
| | - Tzung K. Hsiai
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Alison L. Marsden
- Department of Pediatrics (Cardiology), Stanford University, Stanford, California, United States of America
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
- Institute for Computational and Mathematical Engineering (ICME), Stanford University, Stanford, California, United States of America
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