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Deng Z, Wang L, Kuai Z, Chen Q, Ye C, Scott AD, Nielles-Vallespin S, Zhu Y. Deep learning method with integrated invertible wavelet scattering for improving the quality of in vivocardiac DTI. Phys Med Biol 2024; 69:185005. [PMID: 39142339 DOI: 10.1088/1361-6560/ad6f6a] [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: 01/22/2024] [Accepted: 08/14/2024] [Indexed: 08/16/2024]
Abstract
Objective.Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitations ofin vivocardiac diffusion tensor imaging (DTI). We propose a novel enhancement method that uses unsupervised learning based invertible wavelet scattering (IWS) to improve the quality ofin vivocardiac DTI.Approach.Our method starts by extracting nearly transformation-invariant features from multiple cardiac diffusion-weighted (DW) image acquisitions using multi-scale wavelet scattering (WS). Then, the relationship between the WS coefficients and DW images is learned through a multi-scale encoder and a decoder network. Using the trained encoder, the deep features of WS coefficients of multiple DW image acquisitions are further extracted and then fused using an average rule. Finally, using the fused WS features and trained decoder, the enhanced DW images are derived.Main result.We evaluate the performance of the proposed method by comparing it with several methods on threein vivocardiac DTI datasets in terms of SNR, contrast to noise ratio (CNR), fractional anisotropy (FA), mean diffusivity (MD) and helix angle (HA). Comparing against the best comparison method, SNR/CNR of diastolic, gastric peristalsis influenced, and end-systolic DW images were improved by 1%/16%, 5%/6%, and 56%/30%, respectively. The approach also yielded consistent FA and MD values and more coherent helical fiber structures than the comparison methods used in this work.Significance.The ablation results verify that using the transformation-invariant and noise-robust wavelet scattering features enables us to effectively explore the useful information from the limited data, providing a potential mean to alleviate the dependence of the fusion results on the number of repeated acquisitions, which is beneficial for dealing with the issues of noise and residual motion simultaneously and therefore improving the quality ofinvivocardiac DTI. Code can be found inhttps://github.com/strawberry1996/WS-MCNN.
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Affiliation(s)
- Zeyu Deng
- Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People's Republic of China
| | - Lihui Wang
- Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People's Republic of China
| | - Zixiang Kuai
- Imaging Center, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China
| | - Qijian Chen
- Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People's Republic of China
| | - Chen Ye
- Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People's Republic of China
| | - Andrew D Scott
- CMR Unit, Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Sonia Nielles-Vallespin
- CMR Unit, Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Yuemin Zhu
- University Lyon, INSA Lyon, CNRS, Inserm, IRP Metislab CREATIS UMR5220, U1206, Lyon 69621, France
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2
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Akam-Baxter EA, Bergemann D, Ridley SJ, To S, Andrea B, Moon B, Ma H, Zhou Y, Aguirre A, Caravan P, Gonzalez-Rosa JM, Sosnovik DE. Dynamics of collagen oxidation and cross linking in regenerating and irreversibly infarcted myocardium. Nat Commun 2024; 15:4648. [PMID: 38858347 PMCID: PMC11164919 DOI: 10.1038/s41467-024-48604-7] [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: 06/27/2023] [Accepted: 04/29/2024] [Indexed: 06/12/2024] Open
Abstract
In mammalian hearts myocardial infarction produces a permanent collagen-rich scar. Conversely, in zebrafish a collagen-rich scar forms but is completely resorbed as the myocardium regenerates. The formation of cross-links in collagen hinders its degradation but cross-linking has not been well characterized in zebrafish hearts. Here, a library of fluorescent probes to quantify collagen oxidation, the first step in collagen cross-link (CCL) formation, was developed. Myocardial injury in mice or zebrafish resulted in similar dynamics of collagen oxidation in the myocardium in the first month after injury. However, during this time, mature CCLs such as pyridinoline and deoxypyridinoline developed in the murine infarcts but not in the zebrafish hearts. High levels of newly oxidized collagen were still seen in murine scars with mature CCLs. These data suggest that fibrogenesis remains dynamic, even in mature scars, and that the absence of mature CCLs in zebrafish hearts may facilitate their ability to regenerate.
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Affiliation(s)
- Eman A Akam-Baxter
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.
| | - David Bergemann
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sterling J Ridley
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Samantha To
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Brittany Andrea
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Brianna Moon
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hua Ma
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yirong Zhou
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Aaron Aguirre
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter Caravan
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Juan Manuel Gonzalez-Rosa
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Biology Department, Boston College, Chestnut Hill, USA
| | - David E Sosnovik
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Cook MP, Dhahri W, Laflamme MA, Ghugre NR, Wright GA. Using diffusion tensor imaging to depict myocardial changes after matured pluripotent stem cell-derived cardiomyocyte transplantation. J Cardiovasc Magn Reson 2024; 26:101045. [PMID: 38795790 PMCID: PMC11278291 DOI: 10.1016/j.jocmr.2024.101045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 05/10/2024] [Accepted: 05/17/2024] [Indexed: 05/28/2024] Open
Abstract
BACKGROUND Novel treatment strategies are needed to improve the structure and function of the myocardium post-infarction. In vitro-matured pluripotent stem cell-derived cardiomyocytes (PSC-CMs) have been shown to be a promising regenerative strategy. We hypothesized that mature PSC-CMs will have anisotropic structure and improved cell alignment when compared to immature PSC-CMs using cardiovascular magnetic resonance (CMR) in a guinea pig model of cardiac injury. METHODS Guinea pigs (n = 16) were cryoinjured on day -10, followed by transplantation of either 108 polydimethylsiloxane (PDMS)-matured PSC-CMs (n = 6) or 108 immature tissue culture plastic (TCP)-generated PSC-CMs (n = 6) on day 0. Vehicle (sham-treated) subjects were injected with a pro-survival cocktail devoid of cells (n = 4), while healthy controls (n = 4) did not undergo cryoinjury or treatment. Animals were sacrificed on either day +14 or day +28 post-transplantation. Animals were imaged ex vivo on a 7T Bruker MRI. A 3D diffusion tensor imaging (DTI) sequence was used to quantify structure via fractional anisotropy (FA), mean diffusivity (MD), and myocyte alignment measured by the standard deviation of the transverse angle (TA). RESULTS MD and FA of mature PDMS grafts demonstrated anisotropy was not significantly different than the healthy control hearts (MD = 1.1 ± 0.12 × 10-3 mm2/s vs 0.93 ± 0.01 × 10-3 mm2/s, p = 0.4 and FA = 0.22 ± 0.05 vs 0.26 ± 0.001, p = 0.5). Immature TCP grafts exhibited significantly higher MD than the healthy control (1.3 ± 0.08 × 10-3 mm2/s, p < 0.05) and significantly lower FA than the control (0.12 ± 0.02, p < 0.05) but were not different from mature PDMS grafts in this small cohort. TA of healthy controls showed low variability and was not significantly different than mature PDMS grafts (p = 0.4) while immature TCP grafts were significantly different (p < 0.001). DTI parameters of mature graft tissue trended toward that of the healthy myocardium, indicating the grafted cardiomyocytes may have a similar phenotype to healthy tissue. Contrast-enhanced magnetic resonance images corresponded well to histological staining, demonstrating a non-invasive method of localizing the repopulated cardiomyocytes within the scar. CONCLUSIONS The DTI measures within graft tissue were indicative of anisotropic structure and showed greater myocyte organization compared to the scarred territory. These findings show that MRI is a valuable tool to assess the structural impacts of regenerative therapies.
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Affiliation(s)
- Moses P Cook
- Department of Medical Biophysics, University of Toronto, ON, Canada.
| | - Wahiba Dhahri
- McEwen Stem Cell Institute, University Health Network, Toronto, ON, Canada.
| | - Michael A Laflamme
- McEwen Stem Cell Institute, University Health Network, Toronto, ON, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, ON, Canada.
| | - Nilesh R Ghugre
- Department of Medical Biophysics, University of Toronto, ON, Canada; Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada.
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, ON, Canada; Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada.
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Chen YC, Zheng G, Donner DG, Wright DK, Greenwood JP, Marwick TH, McMullen JR. Cardiovascular magnetic resonance imaging for sequential assessment of cardiac fibrosis in mice: technical advancements and reverse translation. Am J Physiol Heart Circ Physiol 2024; 326:H1-H24. [PMID: 37921664 PMCID: PMC11213480 DOI: 10.1152/ajpheart.00437.2023] [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: 07/19/2023] [Revised: 10/23/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023]
Abstract
Cardiovascular magnetic resonance (CMR) imaging has become an essential technique for the assessment of cardiac function and morphology, and is now routinely used to monitor disease progression and intervention efficacy in the clinic. Cardiac fibrosis is a common characteristic of numerous cardiovascular diseases and often precedes cardiac dysfunction and heart failure. Hence, the detection of cardiac fibrosis is important for both early diagnosis and the provision of guidance for interventions/therapies. Experimental mouse models with genetically and/or surgically induced disease have been widely used to understand mechanisms underlying cardiac fibrosis and to assess new treatment strategies. Improving the appropriate applications of CMR to mouse studies of cardiac fibrosis has the potential to generate new knowledge, and more accurately examine the safety and efficacy of antifibrotic therapies. In this review, we provide 1) a brief overview of different types of cardiac fibrosis, 2) general background on magnetic resonance imaging (MRI), 3) a summary of different CMR techniques used in mice for the assessment of cardiac fibrosis including experimental and technical considerations (contrast agents and pulse sequences), and 4) provide an overview of mouse studies that have serially monitored cardiac fibrosis during disease progression and/or therapeutic interventions. Clinically established CMR protocols have advanced mouse CMR for the detection of cardiac fibrosis, and there is hope that discovery studies in mice will identify new antifibrotic therapies for patients, highlighting the value of both reverse translation and bench-to-bedside research.
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Affiliation(s)
- Yi Ching Chen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Gang Zheng
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - Daniel G Donner
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - David K Wright
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - John P Greenwood
- Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Thomas H Marwick
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Department of Cardiology, Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Julie R McMullen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, Australia
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Sinigiani G, De Michieli L, De Conti G, Ricci F, De Lazzari M, Migliore F, Perazzolo Marra M, Zorzi A, Corrado D, Cipriani A. Cardiac Magnetic Resonance-Detected Acute Myocardial Edema as Predictor of Favourable Prognosis: A Comprehensive Review. J Cardiovasc Dev Dis 2023; 10:319. [PMID: 37623332 PMCID: PMC10455433 DOI: 10.3390/jcdd10080319] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Acute myocardial edema (AME) is increased water content in the myocardium and represents the first and transient pathophysiological response to an acute myocardial injury. In-vivo and non-invasive evaluation is feasible with cardiac magnetic resonance (CMR), which is a powerful imaging technique capable of tissue characterization. In the clinical setting, early demonstration of AME has a recognized diagnostic value for acute coronary syndromes and acute myocarditis, although its prognostic value is not well established. This article provides a comprehensive narrative review on the clinical meaning of AME in heart diseases. In particular, the available evidence of a possible favourable prognostic value in several clinical scenarios is addressed.
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Affiliation(s)
- Giulio Sinigiani
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Laura De Michieli
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Giorgio De Conti
- Radiology Unit, Department of Medicine, Institute of Radiology, University of Padua, 35128 Padua, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, G. D’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy
| | - Manuel De Lazzari
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Federico Migliore
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Martina Perazzolo Marra
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Alessandro Zorzi
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Domenico Corrado
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Alberto Cipriani
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
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6
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Akam EA, Bergemann D, Ridley SJ, To S, Andrea B, Moon B, Ma H, Zhou Y, Aguirre A, Caravan P, Gonzalez-Rosa JM, Sosnovik DE. Dynamics of Collagen Oxidation and Cross Linking in Regenerating and Irreversibly Infarcted Myocardium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.25.549713. [PMID: 37546963 PMCID: PMC10402057 DOI: 10.1101/2023.07.25.549713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
In mammalian hearts myocardial infarction produces a permanent collagen-rich scar. Conversely, in zebrafish a collagen-rich scar forms but is completely resorbed as the myocardium regenerates. The formation of cross-links in collagen hinders its degradation but cross-linking has not been well characterized in zebrafish hearts. Here, a library of fluorescent probes to quantify collagen oxidation, the first step in collagen cross-link (CCL) formation, was developed. Myocardial injury in mice or zebrafish resulted in similar dynamics of collagen oxidation in the myocardium in the first month after injury. However, during this time, mature CCLs such as pyridinoline and deoxypyridinoline developed in the murine infarcts but not in the zebrafish hearts. High levels of newly oxidized collagen were still seen in murine scars with mature CCLs. These data suggest that fibrogenesis remains dynamic, even in mature scars, and that the absence of mature CCLs in zebrafish hearts may facilitate their ability to regenerate.
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7
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Dejea H, Schlepütz CM, Méndez-Carmona N, Arnold M, Garcia-Canadilla P, Longnus SL, Stampanoni M, Bijnens B, Bonnin A. A tomographic microscopy-compatible Langendorff system for the dynamic structural characterization of the cardiac cycle. Front Cardiovasc Med 2022; 9:1023483. [PMID: 36620622 PMCID: PMC9815149 DOI: 10.3389/fcvm.2022.1023483] [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: 08/19/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction Cardiac architecture has been extensively investigated ex vivo using a broad spectrum of imaging techniques. Nevertheless, the heart is a dynamic system and the structural mechanisms governing the cardiac cycle can only be unveiled when investigating it as such. Methods This work presents the customization of an isolated, perfused heart system compatible with synchrotron-based X-ray phase contrast imaging (X-PCI). Results Thanks to the capabilities of the developed setup, it was possible to visualize a beating isolated, perfused rat heart for the very first time in 4D at an unprecedented 2.75 μm pixel size (10.6 μm spatial resolution), and 1 ms temporal resolution. Discussion The customized setup allows high-spatial resolution studies of heart architecture along the cardiac cycle and has thus the potential to serve as a tool for the characterization of the structural dynamics of the heart, including the effects of drugs and other substances able to modify the cardiac cycle.
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Affiliation(s)
- Hector Dejea
- Paul Scherrer Institute, Villigen, Switzerland,Institute for Biomedical Engineering, University and ETH Zürich, Zurich, Switzerland,*Correspondence: Hector Dejea ✉
| | | | - Natalia Méndez-Carmona
- Department of Cardiac Surgery, Inselspital, Bern University Hospital, Bern, Switzerland,Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Maria Arnold
- Department of Cardiac Surgery, Inselspital, Bern University Hospital, Bern, Switzerland,Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Patricia Garcia-Canadilla
- BCNatal-Barcelona Center for Maternal-Fetal and Neonatal Medicine, Hospital Sant Joan de Déu and Hospital Clínic, University of Barcelona, Barcelona, Spain,Cardiovascular Diseases and Child Development, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Sarah L. Longnus
- Department of Cardiac Surgery, Inselspital, Bern University Hospital, Bern, Switzerland,Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Marco Stampanoni
- Paul Scherrer Institute, Villigen, Switzerland,Institute for Biomedical Engineering, University and ETH Zürich, Zurich, Switzerland
| | - Bart Bijnens
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Anne Bonnin
- Paul Scherrer Institute, Villigen, Switzerland
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Sharrack N, Das A, Kelly C, Teh I, Stoeck CT, Kozerke S, Swoboda PP, Greenwood JP, Plein S, Schneider JE, Dall'Armellina E. The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking. J Cardiovasc Magn Reson 2022; 24:66. [PMID: 36419059 PMCID: PMC9685947 DOI: 10.1186/s12968-022-00892-y] [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: 01/31/2022] [Accepted: 10/03/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Cardiac diffusion tensor imaging (cDTI) using cardiovascular magnetic resonance (CMR) is a novel technique for the non-invasive assessment of myocardial microstructure. Previous studies have shown myocardial infarction to result in loss of sheetlet angularity, derived by reduced secondary eigenvector (E2A) and reduction in subendocardial cardiomyocytes, evidenced by loss of myocytes with right-handed orientation (RHM) on helix angle (HA) maps. Myocardial strain assessed using feature tracking-CMR (FT-CMR) is a sensitive marker of sub-clinical myocardial dysfunction. We sought to explore the relationship between these two techniques (strain and cDTI) in patients at 3 months following ST-elevation MI (STEMI). METHODS 32 patients (F = 28, 60 ± 10 years) underwent 3T CMR three months after STEMI (mean interval 105 ± 17 days) with second order motion compensated (M2), free-breathing spin echo cDTI, cine gradient echo and late gadolinium enhancement (LGE) imaging. HA maps divided into left-handed HA (LHM, - 90 < HA < - 30), circumferential HA (CM, - 30° < HA < 30°), and right-handed HA (RHM, 30° < HA < 90°) were reported as relative proportions. Global and segmental analysis was undertaken. RESULTS Mean left ventricular ejection fraction (LVEF) was 44 ± 10% with a mean infarct size of 18 ± 12 g and a mean infarct segment LGE enhancement of 66 ± 21%. Mean global radial strain was 19 ± 6, mean global circumferential strain was - 13 ± - 3 and mean global longitudinal strain was - 10 ± - 3. Global and segmental radial strain correlated significantly with E2A in infarcted segments (p = 0.002, p = 0.011). Both global and segmental longitudinal strain correlated with RHM of infarcted segments on HA maps (p < 0.001, p = 0.003). Mean Diffusivity (MD) correlated significantly with the global infarct size (p < 0.008). When patients were categorised according to LVEF (reduced, mid-range and preserved), all cDTI parameters differed significantly between the three groups. CONCLUSION Change in sheetlet orientation assessed using E2A from cDTI correlates with impaired radial strain. Segments with fewer subendocardial cardiomyocytes, evidenced by a lower proportion of myocytes with right-handed orientation on HA maps, show impaired longitudinal strain. Infarct segment enhancement correlates significantly with E2A and RHM. Our data has demonstrated a link between myocardial microstructure and contractility following myocardial infarction, suggesting a potential role for CMR cDTI to clinically relevant functional impact.
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Affiliation(s)
- N Sharrack
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - A Das
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - C Kelly
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - I Teh
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - C T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
- Centre for Surgical Research, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - S Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - P P Swoboda
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - J P Greenwood
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - S Plein
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - J E Schneider
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - E Dall'Armellina
- Biomedical Imaging Sciences Department, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
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9
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Eder RA, van den Boomen M, Yurista SR, Rodriguez-Aviles YG, Islam MR, Chen YCI, Trager L, Coll-Font J, Cheng L, Li H, Rosenzweig A, Wrann CD, Nguyen CT. Exercise-induced CITED4 expression is necessary for regional remodeling of cardiac microstructural tissue helicity. Commun Biol 2022; 5:656. [PMID: 35787681 PMCID: PMC9253017 DOI: 10.1038/s42003-022-03635-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/23/2022] [Indexed: 11/10/2022] Open
Abstract
Both exercise-induced molecular mechanisms and physiological cardiac remodeling have been previously studied on a whole heart level. However, the regional microstructural tissue effects of these molecular mechanisms in the heart have yet to be spatially linked and further elucidated. We show in exercised mice that the expression of CITED4, a transcriptional co-regulator necessary for cardioprotection, is regionally heterogenous in the heart with preferential significant increases in the lateral wall compared with sedentary mice. Concordantly in this same region, the heart's local microstructural tissue helicity is also selectively increased in exercised mice. Quantification of CITED4 expression and microstructural tissue helicity reveals a significant correlation across both sedentary and exercise mouse cohorts. Furthermore, genetic deletion of CITED4 in the heart prohibits regional exercise-induced microstructural helicity remodeling. Taken together, CITED4 expression is necessary for exercise-induced regional remodeling of the heart's microstructural helicity revealing how a key molecular regulator of cardiac remodeling manifests into downstream local tissue-level changes.
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Affiliation(s)
- Robert A Eder
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Maaike van den Boomen
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Harvard Medical School, Boston, MA, 02129, USA
| | - Salva R Yurista
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Yaiel G Rodriguez-Aviles
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Ponce Health Sciences University, School of Medicine, Ponce, PR, 00716, USA
| | - Mohammad Rashedul Islam
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Yin-Ching Iris Chen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Lena Trager
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Jaume Coll-Font
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Leo Cheng
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Haobo Li
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
| | - Anthony Rosenzweig
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02129, USA
- Massachusetts General Hospital, Cardiology Division and Corrigan Minehan Heart Center, Boston, MA, 02114, USA
| | - Christiane D Wrann
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
- Harvard Medical School, Boston, MA, 02129, USA.
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, 02114, USA.
| | - Christopher T Nguyen
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
- Harvard Medical School, Boston, MA, 02129, USA.
- Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, 44195, USA.
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10
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Ahrens JH, Uzel SGM, Skylar-Scott M, Mata MM, Lu A, Kroll KT, Lewis JA. Programming Cellular Alignment in Engineered Cardiac Tissue via Bioprinting Anisotropic Organ Building Blocks. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200217. [PMID: 35451188 DOI: 10.1002/adma.202200217] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 04/05/2022] [Indexed: 06/14/2023]
Abstract
The ability to replicate the 3D myocardial architecture found in human hearts is a grand challenge. Here, the fabrication of aligned cardiac tissues via bioprinting anisotropic organ building blocks (aOBBs) composed of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) is reported. A bioink composed of contractile cardiac aOBBs is first generated and aligned cardiac tissue sheets with linear, spiral, and chevron features are printed. Next, aligned cardiac macrofilaments are printed, whose contractile force and conduction velocity increase over time and exceed the performance of spheroid-based cardiac tissues. Finally, the ability to spatially control the magnitude and direction of contractile force by printing cardiac sheets with different aOBB alignment is highlighted. This research opens new avenues to generating functional cardiac tissue with high cell density and complex cellular alignment.
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Affiliation(s)
- John H Ahrens
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Sebastien G M Uzel
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Mark Skylar-Scott
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Mariana M Mata
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Aric Lu
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Katharina T Kroll
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Jennifer A Lewis
- John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
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11
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Biochemical and Structural Imaging of Remodeled Myocardium. CURRENT OPINION IN PHYSIOLOGY 2022. [DOI: 10.1016/j.cophys.2022.100570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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12
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Abstract
Major advances in biomedical imaging have occurred over the last 2 decades and now allow many physiological, cellular, and molecular processes to be imaged noninvasively in small animal models of cardiovascular disease. Many of these techniques can be also used in humans, providing pathophysiological context and helping to define the clinical relevance of the model. Ultrasound remains the most widely used approach, and dedicated high-frequency systems can obtain extremely detailed images in mice. Likewise, dedicated small animal tomographic systems have been developed for magnetic resonance, positron emission tomography, fluorescence imaging, and computed tomography in mice. In this article, we review the use of ultrasound and positron emission tomography in small animal models, as well as emerging contrast mechanisms in magnetic resonance such as diffusion tensor imaging, hyperpolarized magnetic resonance, chemical exchange saturation transfer imaging, magnetic resonance elastography and strain, arterial spin labeling, and molecular imaging.
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Affiliation(s)
- David E Sosnovik
- Cardiology Division, Cardiovascular Research Center (D.E.S.), Massachusetts General Hospital and Harvard Medical School, Boston.,A.A. Martinos Center for Biomedical Imaging (D.E.S.), Massachusetts General Hospital and Harvard Medical School, Boston.,Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Cambridge (D.E.S.)
| | - Marielle Scherrer-Crosbie
- Cardiology Division, Hospital of the University of Pennsylvania and Perelman School of Medicine, Philadelphia (M.S.-C)
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13
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Hayashi H, Oda S, Kidoh M, Nakaura T, Morita K, Nagayama Y, Yoneda T, Takashio S, Misumi Y, Ueda M, Tsujita K, Hirai T. Can myocardial susceptibility quantification be an imaging biomarker for cardiac amyloidosis? Jpn J Radiol 2021; 40:500-507. [PMID: 34841460 PMCID: PMC9068634 DOI: 10.1007/s11604-021-01228-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/22/2021] [Indexed: 11/17/2022]
Abstract
Purpose This study aimed to evaluate whether quantification of myocardial susceptibility by cardiac magnetic resonance imaging (CMR) can be an imaging biomarker for cardiac amyloidosis (CA). Materials and methods Twenty-six patients with CA underwent CMR, including magnetic phase imaging with a 3.0-T magnetic resonance imaging scanner. Myocardial susceptibility was quantified as a phase shift slope value by magnetic phase analysis. Those values from patients with CA were compared with corresponding values from 18 controls and 15 healthy volunteers. A univariate logistic regression analysis was conducted to identify significant parameters related to CA. Results The phase shift slope, a quantitative parameter of myocardial susceptibility, was significantly lower in the CA group compared with the control group and compared with healthy volunteers (p < 0.01). From a total of 17 tested variables, 6 were considered to be significant predictors of CA (p ≤ 0.05) during the univariate analysis. The phase shift slope yielded the best AUC of 0.89 (95% CI = 0.79–0.98) for the prediction of CA (p < 0.01). The phase shift slope was significantly correlated with the end-diastolic thickness of the interventricular septum (r = − 0.39, p < 0.01) and posterior wall of the left ventricle (r = − 0.35, p = 0.02). Conclusion Myocardial susceptibility analysis by CMR helps in the diagnosis of patients with CA and can be a new quantitative imaging biomarker for CA.
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Affiliation(s)
- Hidetaka Hayashi
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Seitaro Oda
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.
| | - Masafumi Kidoh
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Takeshi Nakaura
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Kosuke Morita
- Department of Central Radiology, Kumamoto University Hospital, Kumamoto, Japan
| | - Yasunori Nagayama
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Tetsuya Yoneda
- Department of Medical Physics in Advanced Biomedical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Seiji Takashio
- Department of Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yohei Misumi
- Department of Neurology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Mitsuharu Ueda
- Department of Neurology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Toshinori Hirai
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan
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14
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Phipps K, van de Boomen M, Eder R, Michelhaugh SA, Spahillari A, Kim J, Parajuli S, Reese TG, Mekkaoui C, Das S, Gee D, Shah R, Sosnovik DE, Nguyen C. Accelerated in Vivo Cardiac Diffusion-Tensor MRI Using Residual Deep Learning-based Denoising in Participants with Obesity. Radiol Cardiothorac Imaging 2021; 3:e200580. [PMID: 34250491 DOI: 10.1148/ryct.2021200580] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 12/21/2022]
Abstract
Purpose To develop and assess a residual deep learning algorithm to accelerate in vivo cardiac diffusion-tensor MRI (DT-MRI) by reducing the number of averages while preserving image quality and DT-MRI parameters. Materials and Methods In this prospective study, a denoising convolutional neural network (DnCNN) for DT-MRI was developed; a total of 26 participants, including 20 without obesity (body mass index [BMI] < 30 kg/m2; mean age, 28 years ± 3 [standard deviation]; 11 women) and six with obesity (BMI ≥ 30 kg/m2; mean age, 48 years ± 11; five women), were recruited from June 19, 2019, to July 29, 2020. DT-MRI data were constructed at four averages (4Av), two averages (2Av), and one average (1Av) without and with the application of the DnCNN (4AvDnCNN, 2AvDnCNN, 1AvDnCNN). All data were compared against the reference DT-MRI data constructed at eight averages (8Av). Image quality, characterized by using the signal-to-noise ratio (SNR) and structural similarity index (SSIM), and the DT-MRI parameters of mean diffusivity (MD), fractional anisotropy (FA), and helix angle transmurality (HAT) were quantified. Results No differences were found in image quality or DT-MRI parameters between the accelerated 4AvDnCNN DT-MRI and the reference 8Av DT-MRI data for the SNR (29.1 ± 2.7 vs 30.5 ± 2.9), SSIM (0.97 ± 0.01), MD (1.3 µm2/msec ± 0.1 vs 1.31 µm2/msec ± 0.11), FA (0.32 ± 0.05 vs 0.30 ± 0.04), or HAT (1.10°/% ± 0.13 vs 1.11°/% ± 0.09). The relationship of a higher MD and lower FA and HAT in individuals with obesity compared with individuals without obesity in reference 8Av DT-MRI measurements was retained in 4AvDnCNN and 2AvDnCNN DT-MRI measurements but was not retained in 4Av or 2Av DT-MRI measurements. Conclusion Cardiac DT-MRI can be performed at an at least twofold-accelerated rate by using DnCNN to preserve image quality and DT-MRI parameter quantification.Keywords: Adults, Cardiac, Obesity, Technology Assessment, MR-Diffusion Tensor Imaging, Heart, Tissue CharacterizationSupplemental material is available for this article.© RSNA, 2021.
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Affiliation(s)
- Kellie Phipps
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Maaike van de Boomen
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Robert Eder
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Sam Allen Michelhaugh
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Aferdita Spahillari
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Joan Kim
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Shestruma Parajuli
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Timothy G Reese
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Choukri Mekkaoui
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Saumya Das
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Denise Gee
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Ravi Shah
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - David E Sosnovik
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
| | - Christopher Nguyen
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th St, 4.213, Charlestown, MA 02129 (K.P., M.v.d.B., R.E., J.K., S.P., S.D., R.S., D.E.S., C.N.); Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (M.v.d.B.); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (M.v.d.B., T.G.R., C.M., D.E.S., C.N.); Cardiology Division (S.A.M., A.S., S.D., R.S., D.E.S.) and Weight Center (D.G.), Massachusetts General Hospital, Boston, Mass; and Departments of Radiology (T.G.R., C.M.), Medicine (S.D., R.S., D.E.S., C.N.), and Surgery (D.G.), Harvard Medical School, Boston, Mass
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15
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Stimm J, Buoso S, Berberoğlu E, Kozerke S, Genet M, Stoeck CT. A 3D personalized cardiac myocyte aggregate orientation model using MRI data-driven low-rank basis functions. Med Image Anal 2021; 71:102064. [PMID: 33957560 DOI: 10.1016/j.media.2021.102064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/01/2021] [Accepted: 03/31/2021] [Indexed: 12/17/2022]
Abstract
Cardiac myocyte aggregate orientation has a strong impact on cardiac electrophysiology and mechanics. Studying the link between structural characteristics, strain, and stresses over the cardiac cycle and cardiac function requires a full volumetric representation of the microstructure. In this work, we exploit the structural similarity across hearts to extract a low-rank representation of predominant myocyte orientation in the left ventricle from high-resolution magnetic resonance ex-vivo cardiac diffusion tensor imaging (cDTI) in porcine hearts. We compared two reduction methods, Proper Generalized Decomposition combined with Singular Value Decomposition and Proper Orthogonal Decomposition. We demonstrate the existence of a general set of basis functions of aggregated myocyte orientation which defines a data-driven, personalizable, parametric model featuring higher flexibility than existing atlas and rule-based approaches. A more detailed representation of microstructure matching the available patient data can improve the accuracy of personalized computational models. Additionally, we approximate the myocyte orientation of one ex-vivo human heart and demonstrate the feasibility of transferring the basis functions to humans.
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Affiliation(s)
- Johanna Stimm
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Stefano Buoso
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Ezgi Berberoğlu
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Martin Genet
- Laboratoire de Mécanique des Solides, École Polytechnique, Palaiseau, France; M3DISIM team, Inria / Université Paris-Saclay, Palaiseau, France; C.N.R.S./Université Paris-Saclay, Palaiseau, France
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
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Abstract
Advances in technology have made it possible to image the microstructure of the heart with diffusion-weighted magnetic resonance. The technique provides unique insights into the cellular architecture of the myocardium and how this is perturbed in a range of disease contexts. In this review, the physical basis of diffusion MRI and the challenges of implementing it in the beating heart are discussed. Cutting edge acquisition and analysis techniques, as well as the results of initial clinical studies, are reported.
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Affiliation(s)
- David E Sosnovik
- Cardiology Division, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Cambridge, MA, USA.
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17
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Lohr D, Terekhov M, Veit F, Schreiber LM. Longitudinal assessment of tissue properties and cardiac diffusion metrics of the ex vivo porcine heart at 7 T: Impact of continuous tissue fixation using formalin. NMR IN BIOMEDICINE 2020; 33:e4298. [PMID: 32207190 DOI: 10.1002/nbm.4298] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/18/2020] [Accepted: 03/05/2020] [Indexed: 05/12/2023]
Abstract
In this study we aimed to assess the effects of continuous formalin fixation on diffusion and relaxation metrics of the ex vivo porcine heart at 7 T. Magnetic resonance imaging was performed on eight piglet hearts using a 7 T whole body system. Hearts were measured fresh within 3 hours of cardiac arrest followed by immersion in 10% neutral buffered formalin. T2* and T2 were assessed using a gradient multi-echo and multi-echo spin echo sequence, respectively. A spin echo and a custom stimulated echo sequence were employed to assess diffusion time-dependent changes in metrics of cardiac diffusion tensor imaging. SNR was determined for b = 0 images. Scans were performed for 5 mm thick apical, midcavity and basal slices (in-plane resolution: 1 mm) and repeated 7, 15, 50, 100 and 200 days postfixation. Eigenvalues of the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) decreased significantly (P < 0.05) following fixation. Relative to fresh hearts, FA values 7 and 200 days postfixation were 90% and 80%, while respective relative ADC values at those fixation stages were 78% and 92%. Statistical helix and sheetlet angle distributions as well as respective mean and median values showed no systematic influence of continuous formalin fixation. Similar to changes in the ADC, values for T2 , T2* and SNR dropped initially postfixation. Respective relative values compared with fresh hearts at day 7 were 64%, 79% and 68%, whereas continuous fixation restored T2 , T2* and SNR leading to relative values of 74%, 100%, and 81% at day 200, respectively. Relaxation parameters and diffusion metrics are significantly altered by continuous formalin fixation. The preservation of microstructure metrics following prolonged fixation is a key finding that may enable future studies of ventricular remodeling in cardiac pathologies.
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Affiliation(s)
- David Lohr
- Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany
| | - Maxim Terekhov
- Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany
| | - Franziska Veit
- Tissue Engineering and Regenerative Medicine (TERM), University Hospital Wuerzburg, Wuerzburg, Germany
| | - Laura Maria Schreiber
- Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany
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18
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Fluorescence microscopy tensor imaging representations for large-scale dataset analysis. Sci Rep 2020; 10:5632. [PMID: 32221334 PMCID: PMC7101442 DOI: 10.1038/s41598-020-62233-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 03/10/2020] [Indexed: 12/13/2022] Open
Abstract
Understanding complex biological systems requires the system-wide characterization of cellular and molecular features. Recent advances in optical imaging technologies and chemical tissue clearing have facilitated the acquisition of whole-organ imaging datasets, but automated tools for their quantitative analysis and visualization are still lacking. We have here developed a visualization technique capable of providing whole-organ tensor imaging representations of local regional descriptors based on fluorescence data acquisition. This method enables rapid, multiscale, analysis and virtualization of large-volume, high-resolution complex biological data while generating 3D tractographic representations. Using the murine heart as a model, our method allowed us to analyze and interrogate the cardiac microvasculature and the tissue resident macrophage distribution and better infer and delineate the underlying structural network in unprecedented detail.
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19
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Nielles-Vallespin S, Scott A, Ferreira P, Khalique Z, Pennell D, Firmin D. Cardiac Diffusion: Technique and Practical Applications. J Magn Reson Imaging 2019; 52:348-368. [PMID: 31482620 DOI: 10.1002/jmri.26912] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 12/12/2022] Open
Abstract
The 3D microarchitecture of the cardiac muscle underlies the mechanical and electrical properties of the heart. Cardiomyocytes are arranged helically through the depth of the wall, and their shortening leads to macroscopic torsion, twist, and shortening during cardiac contraction. Furthermore, cardiomyocytes are organized in sheetlets separated by shear layers, which reorientate, slip, and shear during macroscopic left ventricle (LV) wall thickening. Cardiac diffusion provides a means for noninvasive interrogation of the 3D microarchitecture of the myocardium. The fundamental principle of MR diffusion is that an MRI signal is attenuated by the self-diffusion of water in the presence of large diffusion-encoding gradients. Since water molecules are constrained by the boundaries in biological tissue (cell membranes, collagen layers, etc.), depicting their diffusion behavior elucidates the shape of the myocardial microarchitecture they are embedded in. Cardiac diffusion therefore provides a noninvasive means to understand not only the dynamic changes in cardiac microstructure of healthy myocardium during cardiac contraction but also the pathophysiological changes in the presence of disease. This unique and innovative technology offers tremendous potential to enable improved clinical diagnosis through novel microstructural and functional assessment. in vivo cardiac diffusion methods are immediately translatable to patients, opening new avenues for diagnostic investigation and treatment evaluation in a range of clinically important cardiac pathologies. This review article describes the 3D microstructure of the LV, explains in vivo and ex vivo cardiac MR diffusion acquisition and postprocessing techniques, as well as clinical applications to date. Level of Evidence: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019. J. Magn. Reson. Imaging 2020;52:348-368.
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Affiliation(s)
- Sonia Nielles-Vallespin
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Andrew Scott
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Pedro Ferreira
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Zohya Khalique
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Dudley Pennell
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - David Firmin
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
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20
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Affiliation(s)
- David E Sosnovik
- Cardiology Division and Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (D.E.S.)
| | - Tal Geva
- Department of Cardiology, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, MA (T.G.)
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21
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Beyhoff N, Lohr D, Foryst-Ludwig A, Klopfleisch R, Brix S, Grune J, Thiele A, Erfinanda L, Tabuchi A, Kuebler WM, Pieske B, Schreiber LM, Kintscher U. Characterization of Myocardial Microstructure and Function in an Experimental Model of Isolated Subendocardial Damage. Hypertension 2019; 74:295-304. [PMID: 31291149 PMCID: PMC6635061 DOI: 10.1161/hypertensionaha.119.12956] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Subendocardial damage is among the first cardiac manifestations of hypertension and is already present in asymptomatic disease states. Accordingly, markers of subendocardial impairment may facilitate early detection of cardiac damages and risk stratification under these conditions. This study aimed to investigate the impact of subendocardial damage on myocardial microstructure and function to elucidate early pathophysiologic processes and to identify corresponding diagnostic measures. Mice (n=38) were injected with isoproterenol to induce isolated subendocardial scarring or saline as corresponding control. Cardiac function and myocardial deformation were determined by high-frequency echocardiography. The cardiac stress response was assessed in a graded exercise test and during dobutamine stress echocardiography. Myocardial microstructure was studied ex vivo by 7 T diffusion tensor magnetic resonance imaging at a spatial resolution of 100×100×100 µm 3 . Results were correlated with histology and biomarker expression. Subendocardial fibrosis was accompanied by diastolic dysfunction, impaired longitudinal deformation (global peak longitudinal strain [LS]: -12.5±0.5% versus -15.6±0.5%; P<0.001) and elevated biomarker expression (ANP [atrial natriuretic peptide], Galectin-3, and ST2). Systolic function and cardiac stress response remained preserved. Diffusion tensor magnetic resonance imaging revealed a left-shift in helix angle towards lower values in isoproterenol-treated animals, which was mainly determined by subepicardial myofibers (mean helix angle: 2.2±0.8° versus 5.9±1.0°; P<0.01). Longitudinal strain and subepicardial helix angle were highly predictive for subendocardial fibrosis (sensitivity, 82%-92% and specificity, 89%-90%). The results indicate that circumscribed subendocardial damage alone can cause several hallmarks observed in cardiovascular high-risk patients. Microstructural remodeling under these conditions involves also remote regions, and corresponding changes in longitudinal strain and helix angle might serve as diagnostic markers.
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Affiliation(s)
- Niklas Beyhoff
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - David Lohr
- Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Germany (D.L., L.M.S.)
| | - Anna Foryst-Ludwig
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Robert Klopfleisch
- Department of Veterinary Pathology, College of Veterinary Medicine, Freie Universität Berlin, Germany (R.K.)
| | - Sarah Brix
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Jana Grune
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Arne Thiele
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Lasti Erfinanda
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Arata Tabuchi
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Wolfgang M Kuebler
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Burkert Pieske
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Department of Internal Medicine and Cardiology, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin and Deutsches Herzzentrum Berlin (DHZB), Department of Cardiology, Berlin, Germany (B.P.)
| | - Laura M Schreiber
- Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Germany (D.L., L.M.S.)
| | - Ulrich Kintscher
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
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22
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Qin X, Han D, Wu JC. Molecular imaging of cardiac regenerative medicine. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2019. [DOI: 10.1016/j.cobme.2019.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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23
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Lee SE, Nguyen C, Xie Y, Deng Z, Zhou Z, Li D, Chang HJ. Recent Advances in Cardiac Magnetic Resonance Imaging. Korean Circ J 2018; 49:146-159. [PMID: 30468040 PMCID: PMC6351278 DOI: 10.4070/kcj.2018.0246] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 09/25/2018] [Accepted: 10/23/2018] [Indexed: 01/10/2023] Open
Abstract
Cardiac magnetic resonance (CMR) imaging provides accurate anatomic information and advanced soft contrast, making it the reference standard for assessing cardiac volumes and systolic function. In this review, we summarize the recent advances in CMR sequences. New technical development has widened the use of CMR imaging beyond the simple characterization of myocardial scars and assessment of contractility. These novel CMR sequences offer comprehensive assessments of coronary plaque characterization, myocardial fiber orientation, and even metabolic activity, and they can be readily applied in clinical settings. CMR imaging is able to provide new insights into understanding the pathophysiologic process of underlying cardiac disease, and it can help physicians choose the best treatment strategies. Although several limitations, including the high cost and time-consuming process, have limited the widespread clinical use of CMR imaging so far, recent advances in software and hardware technologies have made the future more promising.
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Affiliation(s)
- Sang Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.,Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, Korea.,Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zixin Deng
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zhengwei Zhou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hyuk Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.,Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, Korea.
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24
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Hedgire S, Kilcoyne A, Tonyushkin A, Mao Y, Uyeda JW, Gervais DA, Harisinghani MG. Effect of androgen deprivation and radiation therapy on MRI fiber tractography in prostate cancer: can we assess treatment response on imaging? Br J Radiol 2018; 92:20170170. [PMID: 30209952 DOI: 10.1259/bjr.20170170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To evaluate quantitative changes in Diffusion Tensor Magnetic Resonance Tractography in prostate cancer following androgen deprivation and radiation therapy. METHODS 22 patients with elevated PSA and biopsy proven prostate carcinoma who underwent MRI of the prostate at 1.5 T with an endorectal coil were included. Group A) was the study group (n = 11), participants who underwent androgen deprivation and/or radiation therapy and group B) were Gleason-matched control group (n = 11) participants who did not undergo such therapy. Diffusion weighted images were used to generate three-dimensional (3D) map of fiber tracts from DTI. 3D regions of interest (ROI) were drawn over the tumor and healthy prostatic parenchyma in both groups to record tract number and tract density. Tumor region and normal parenchymal tract densities within each group were compared. RESULTS Mean tract density in the tumor region and normal parenchyma was 2.3 and 3.3 in study group (tract numbers: 116.6 and 170.2 respectively) and 1.6 and 2.7 in the control group respectively (tract numbers: 252.5 and 346.3 respectively). The difference between these values was statistically significant for the control group (p = 0.0018) but not for the study group (p = 0.11). The difference between the tract numbers of tumor and normal parenchyma appears to narrow following therapy. CONCLUSION The study demonstrated utility in using tractography as a biomarker in prostate cancer patients post treatment. ADVANCES IN KNOWLEDGE Quantitative DTI fiber tractography is a promising imaging biomarker to quantitatively assess treatment response in the setting of post-androgen deprivation and radiation therapy for prostate cancer.
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Affiliation(s)
- Sandeep Hedgire
- Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Aoife Kilcoyne
- Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Alexey Tonyushkin
- Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA, USA.,Physics Department, University of Massachusetts Boston, Boston, MA, USA
| | - Yun Mao
- Department of Radiology, The first affiliated hospital of Chongqing Medical University, Chongqing, China
| | - Jennifer W Uyeda
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Debra A Gervais
- Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Mukesh G Harisinghani
- Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA, USA
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25
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Hoffman JIE. Will the real ventricular architecture please stand up? Physiol Rep 2018; 5:5/18/e13404. [PMID: 28947592 PMCID: PMC5617926 DOI: 10.14814/phy2.13404] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 07/23/2017] [Indexed: 12/28/2022] Open
Abstract
Ventricular twisting, essential for cardiac function, is attributed to the contraction of myocardial helical fibers. The exact relationship between ventricular anatomy and function remains to be determined, but one commonly used explanatory model is the helical ventricular myocardial band (HVMB) model of Torrent‐Guasp. This model has been successful in explaining many aspects of ventricular function, (Torrent‐Guasp et al. Eur. J. Cardiothorac. Surg., 25, 376, 2004; Buckberg et al. Eur. J. Cardiothorac. Surg., 47, 587, 2015; Buckberg et al. Eur. J. Cardiothorac. Surg. 47, 778, 2015) but the model ignores important aspects of ventricular anatomy and should probably be replaced. The purpose of this review is to compare the HVMB model with a different model (nested layers). A complication when interpreting experimental observations that relate anatomy to function is that, in the myocardium, shortening does not always imply activation and lengthening does not always imply inactivation.
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Affiliation(s)
- Julien I E Hoffman
- Department of Pediatrics, University of California, San Francisco, California
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26
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Lee SE, Nguyen C, Yoon J, Chang HJ, Kim S, Kim CH, Li D. Three-dimensional Cardiomyocytes Structure Revealed By Diffusion Tensor Imaging and Its Validation Using a Tissue-Clearing Technique. Sci Rep 2018; 8:6640. [PMID: 29703900 PMCID: PMC5923209 DOI: 10.1038/s41598-018-24622-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 04/06/2018] [Indexed: 01/30/2023] Open
Abstract
We characterized the microstructural response of the myocardium to cardiovascular disease using diffusion tensor imaging (DTI) and performed histological validation by intact, un-sectioned, three-dimensional (3D) histology using a tissue-clearing technique. The approach was validated in normal (n = 7) and ischemic (n = 8) heart failure model mice. Whole heart fiber tracking using DTI in fixed ex-vivo mouse hearts was performed, and the hearts were processed with the tissue-clearing technique. Cardiomyocytes orientation was quantified on both DTI and 3D histology. Helix angle (HA) and global HA transmurality (HAT) were calculated, and the DTI findings were confirmed with 3D histology. Global HAT was significantly reduced in the ischemic group (DTI: 0.79 ± 0.13°/% transmural depth [TD] and 3D histology: 0.84 ± 0.26°/%TD) compared with controls (DTI: 1.31 ± 0.20°/%TD and 3D histology: 1.36 ± 0.27°/%TD, all p < 0.001). On direct comparison of DTI with 3D histology for the quantitative assessment of cardiomyocytes orientation, significant correlations were observed in both per-sample (R2 = 0.803) and per-segment analyses (R2 = 0.872). We demonstrated the capability and accuracy of DTI for mapping cardiomyocytes orientation by comparison with the intact 3D histology acquired by tissue-clearing technique. DTI is a promising tool for the noninvasive characterization of cardiomyocytes architecture.
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Affiliation(s)
- Sang-Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Jongjin Yoon
- Departement of Pharmacology, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, Korea
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea.
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea.
| | - Sekeun Kim
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea
- Graduate School of Biomedical Engineering, Yonsei University College of Medicine, Seoul, 03722, South Korea
| | - Chul Hoon Kim
- Departement of Pharmacology, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, Korea
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
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27
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Wang Y, Ravanfar M, Zhang K, Duan D, Yao G. Automatic quantification of microscopic heart damage in a mouse model of Duchenne muscular dystrophy using optical polarization tractography. JOURNAL OF BIOPHOTONICS 2018; 11:e201700284. [PMID: 29314725 DOI: 10.1002/jbio.201700284] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 12/06/2017] [Accepted: 01/03/2018] [Indexed: 06/07/2023]
Abstract
Quantification of microscopic myocardium damage in a diseased heart is important in studying disease progression and evaluating treatment outcome. However, it is challenging to use traditional histology and existing medical imaging modalities to quantify all microscopic damages in a small animal heart. Here, a method was developed for fast visualization and quantification of focal tissue damage in the mouse heart based on the fiber alignment index of the local myofiber organization obtained in optical polarization tractography (OPT). This method was tested in freshly excised hearts of the mdx4cv mouse, a commonly used mouse model for studying Duchenne cardiomyopathy. The hearts of age-matched C57BL/6 mice were also imaged as the normal controls. The results revealed a significant amount of damage in the mdx4cv hearts. Histology comparisons confirmed the damage identified by OPT. This fast and automatic method may greatly enhance preclinical studies in murine models of heart diseases.
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Affiliation(s)
- Yuanbo Wang
- Department of Bioengineering, University of Missouri, Columbia, Missouri
| | | | - Keqing Zhang
- Department of Molecular Microbiology & Immunology, University of Missouri, Columbia, Missouri
| | - Dongsheng Duan
- Department of Bioengineering, University of Missouri, Columbia, Missouri
- Department of Molecular Microbiology & Immunology, University of Missouri, Columbia, Missouri
| | - Gang Yao
- Department of Bioengineering, University of Missouri, Columbia, Missouri
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28
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Mekkaoui C, Jackowski MP, Kostis WJ, Stoeck CT, Thiagalingam A, Reese TG, Reddy VY, Ruskin JN, Kozerke S, Sosnovik DE. Myocardial Scar Delineation Using Diffusion Tensor Magnetic Resonance Tractography. J Am Heart Assoc 2018; 7:JAHA.117.007834. [PMID: 29420216 PMCID: PMC5850260 DOI: 10.1161/jaha.117.007834] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Late gadolinium enhancement (LGE) is the current standard for myocardial scar delineation. In this study, we introduce the tractographic propagation angle (PA), a metric of myofiber curvature (degrees/unit distance) derived from diffusion tensor imaging (DTI), and compare its use to LGE and invasive scar assessment by endocardial voltage mapping. Methods and Results DTI was performed on 7 healthy human volunteers, 5 patients with myocardial infarction, 6 normal mice, and 7 mice with myocardial infarction. LGE to delineate the infarct and border zones was performed with a 2‐dimensional inversion recovery gradient‐echo sequence. Ex vivo DTI was performed on 5 normal human and 5 normal sheep hearts. Endocardial electroanatomic mapping and subsequent ex vivo DTI was performed on 5 infarcted sheep hearts. PA in the normal human hearts varied smoothly and was generally <4. The mean PA in the infarct zone was significantly elevated (10.34±1.02 versus 4.05±0.45, P<0.05). Regions with a PA ≤4 consistently had a bipolar voltage ≥1.5 mV, whereas those with PA values between 4 and 10 had voltages between 0.5 and 1.5 mV. A PA threshold >4 was the most accurate DTI‐derived measure of infarct size and demonstrated the greatest correlation with LGE (r=0.95). Conclusions We found a strong correlation between infarct size by PA and LGE in both mice and humans. There was also an inverse relationship between PA values and endocardial voltage. The use of PA may enable myocardial scar delineation and characterization of arrhythmogenic substrate without the need for exogenous contrast agents.
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Affiliation(s)
- Choukri Mekkaoui
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Boston, MA
| | - Marcel P Jackowski
- Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, Brazil
| | - William J Kostis
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Boston, MA.,Cardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | | | - Timothy G Reese
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Boston, MA
| | - Vivek Y Reddy
- Cardiac Arrhythmia Service, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jeremy N Ruskin
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital Harvard Medical School, Boston, MA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - David E Sosnovik
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Boston, MA.,Cardiology Division, Cardiovascular Research Center, Massachusetts General Hospital Harvard Medical School, Boston, MA
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Nguyen CT, Dawkins J, Bi X, Marbán E, Li D. Diffusion Tensor Cardiac Magnetic Resonance Reveals Exosomes From Cardiosphere-Derived Cells Preserve Myocardial Fiber Architecture After Myocardial Infarction. JACC Basic Transl Sci 2018; 3:97-109. [PMID: 29600288 PMCID: PMC5869026 DOI: 10.1016/j.jacbts.2017.09.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 09/11/2017] [Accepted: 09/12/2017] [Indexed: 12/15/2022]
Abstract
The object of the study was to reveal the fiber microstructural response with diffusion tensor cardiac magnetic resonance after intramyocardial exosomes secreted by cardiosphere-derived cells (CDCEXO) in chronic porcine myocardial infarction. Porcine with myocardial infarction underwent intramyocardial delivery of human CDCEXO and placebo in a randomized placebo-controlled study. Four weeks after injection, viability improved in the CDCEXO group, whereas myocardial fiber architecture and cardiac function were preserved. In the placebo group, fiber architecture and cardiac function declined. Myocardial regeneration by CDCEXO is not tumor-like; instead, details of tissue architecture are faithfully preserved, which may foster physiological excitation and contraction.
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Affiliation(s)
- Christopher T. Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - James Dawkins
- Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Xiaoming Bi
- MR R&D, Siemens Healthcare, Los Angeles, California
| | - Eduardo Marbán
- Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
- Departments of Medicine and Bioengineering, University of California Los Angeles, Los Angeles, California
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Scott AD, Nielles-Vallespin S, Ferreira PF, Khalique Z, Gatehouse PD, Kilner P, Pennell DJ, Firmin DN. An in-vivo comparison of stimulated-echo and motion compensated spin-echo sequences for 3 T diffusion tensor cardiovascular magnetic resonance at multiple cardiac phases. J Cardiovasc Magn Reson 2018; 20:1. [PMID: 29298692 PMCID: PMC5753538 DOI: 10.1186/s12968-017-0425-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 12/18/2017] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Stimulated-echo (STEAM) and, more recently, motion-compensated spin-echo (M2-SE) techniques have been used for in-vivo diffusion tensor cardiovascular magnetic resonance (DT-CMR) assessment of cardiac microstructure. The two techniques differ in the length scales of diffusion interrogated, their signal-to-noise ratio efficiency and sensitivity to both motion and strain. Previous comparisons of the techniques have used high performance gradients at 1.5 T in a single cardiac phase. However, recent work using STEAM has demonstrated novel findings of microscopic dysfunction in cardiomyopathy patients, when DT-CMR was performed at multiple cardiac phases. We compare STEAM and M2-SE using a clinical 3 T scanner in three potentially clinically interesting cardiac phases. METHODS Breath hold mid-ventricular short-axis DT-CMR was performed in 15 subjects using M2-SE and STEAM at end-systole, systolic sweet-spot and diastasis. Success was defined by ≥50% of the myocardium demonstrating normal helix angles. From successful acquisitions DT-CMR results relating to tensor orientation, size and shape were compared between sequences and cardiac phases using non-parametric statistics. Strain information was obtained using cine spiral displacement encoding with stimulated echoes for comparison with DT-CMR results. RESULTS Acquisitions were successful in 98% of STEAM and 76% of M2-SE cases and visual helix angle (HA) map scores were higher for STEAM at the sweet-spot and diastasis. There were significant differences between sequences (p < 0.05) in mean diffusivity (MD), fractional anisotropy (FA), tensor mode, transmural HA gradient and absolute second eigenvector angle (E2A). Differences in E2A between systole and diastole correlated with peak radial strain for both sequences (p ≤ 0.01). CONCLUSION M2-SE and STEAM can be performed equally well at peak systole at 3 T using standard gradients, but at the sweet-spot and diastole STEAM is more reliable and image quality scores are higher. Differences in DT-CMR results are potentially due to differences in motion sensitivity and the longer diffusion time of STEAM, although the latter appears to be the dominant factor. The benefits of both sequences should be considered when planning future studies and sequence and cardiac phase specific normal ranges should be used for comparison.
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Affiliation(s)
- Andrew D. Scott
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
| | - Sonia Nielles-Vallespin
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
- National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD USA
| | - Pedro F. Ferreira
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
| | - Zohya Khalique
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
| | - Peter D. Gatehouse
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
| | - Philip Kilner
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
| | - Dudley J. Pennell
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
| | - David N. Firmin
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, Sydney Street, London, UK
- National Heart and Lung Institute, Imperial College London, Sydney Street, London, UK
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Castonguay A, Lefebvre J, Pouliot P, Avti P, Moeini M, Lesage F. Serial optical coherence scanning reveals an association between cardiac function and the heart architecture in the aging rodent heart. BIOMEDICAL OPTICS EXPRESS 2017; 8:5027-5038. [PMID: 29188099 PMCID: PMC5695949 DOI: 10.1364/boe.8.005027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 10/11/2017] [Accepted: 10/12/2017] [Indexed: 05/10/2023]
Abstract
Normal aging is accompanied by structural changes in the heart architecture. To explore this remodeling, we used a serial optical coherence tomography scanner to image entire mouse hearts at micron scale resolution. Ex vivo hearts of 7 young (4 months) and 5 old (24 months) C57BL/6 mice were acquired with the imaging platform. OCT of the myocardium revealed myofiber orientation changing linearly from the endocardium to the epicardium. In old mice, this rate of change was lower when compared to young mice while the average volume of old mice hearts was significantly larger (p<0.05). Myocardial wall thickening was also accompanied by extracellular spacing in the endocardium, resulting in a lower OCT attenuation coefficient in old mice endocardium (p<0.05). Prior to serial sectioning, cardiac function of the same hearts was imaged in vivo using MRI and revealed a reduced ejection fraction with aging. The use of a serial optical coherence tomography scanner allows new insight into fine age-related changes of the heart associated with changes in heart function.
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Affiliation(s)
- Alexandre Castonguay
- École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal QC, H3C3A7, Canada
| | - Joël Lefebvre
- École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal QC, H3C3A7, Canada
| | - Philippe Pouliot
- École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal QC, H3C3A7, Canada
- Institut de Cardiologie de Montréal, 5000 rue Bélanger Est, Montréal, QC, H1T1C8, Canada
| | - Pramod Avti
- Department of Biophysics, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
| | - Mohammad Moeini
- École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal QC, H3C3A7, Canada
- Institut de Cardiologie de Montréal, 5000 rue Bélanger Est, Montréal, QC, H1T1C8, Canada
| | - Frédéric Lesage
- École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal QC, H3C3A7, Canada
- Institut de Cardiologie de Montréal, 5000 rue Bélanger Est, Montréal, QC, H1T1C8, Canada
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Goergen CJ, Chen HH, Sakadžić S, Srinivasan VJ, Sosnovik DE. Microstructural characterization of myocardial infarction with optical coherence tractography and two-photon microscopy. Physiol Rep 2017; 4:4/18/e12894. [PMID: 27650248 PMCID: PMC5037910 DOI: 10.14814/phy2.12894] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 07/07/2016] [Indexed: 11/24/2022] Open
Abstract
Myocardial infarction leads to complex changes in the fiber architecture of the heart. Here, we present a novel optical approach to characterize these changes in intact hearts in three dimensions. Optical coherence tomography (OCT) was used to derive a depth‐resolved field of orientation on which tractography was performed. Tractography of healthy myocardium revealed a smooth linear transition in fiber inclination or helix angle from the epicardium to endocardium. Conversely, in infarcted hearts, no coherent microstructure could be identified in the infarct with OCT. Additional characterization of the infarct was performed by the measurement of light attenuation and with two‐photon microscopy. Myofibers were imaged using autofluorescence and collagen fibers using second harmonic generation. This revealed the presence of two distinct microstructural patterns in areas of the infarct with high light attenuation. In the presence of residual myofibers, the surrounding collagen fibers were aligned in a coherent manner parallel to the myofibers. In the absence of residual myofibers, the collagen fibers were randomly oriented and lacked any microstructural coherence. The presence of residual myofibers thus exerts a profound effect on the microstructural properties of the infarct scar and consequently the risk of aneurysm formation and arrhythmias. Catheter‐based approaches to segment and image myocardial microstructure in humans are feasible and could play a valuable role in guiding the development of strategies to improve infarct healing.
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Affiliation(s)
- Craig J Goergen
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts
| | - Howard H Chen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts
| | - Sava Sakadžić
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts
| | - Vivek J Srinivasan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts Department of Biomedical Engineering, University of California Davis, Davis, California
| | - David E Sosnovik
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital Harvard Medical School, Charlestown, Massachusetts
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Hypoxia treatment reverses neurodegenerative disease in a mouse model of Leigh syndrome. Proc Natl Acad Sci U S A 2017; 114:E4241-E4250. [PMID: 28483998 PMCID: PMC5448167 DOI: 10.1073/pnas.1621511114] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Inherited or acquired defects in mitochondria lead to devastating disorders for which we have no effective general therapies. We recently reported that breathing normobaric 11% O2 prevents neurodegeneration in a mouse model of a pediatric mitochondrial disease, Leigh syndrome. Here we provide updated survival curves of mice treated with varying doses of oxygen and explore eventual causes of death. We explore alternative hypoxia regimens and report that neither intermittent nor moderate hypoxia regimens suffice to prevent neurological disease. Finally, we show that hypoxia can not only prevent, but also reverses the brain lesions in mice with advanced neuropathology. Our preclinical studies will help guide future clinical studies aimed at harnessing hypoxia as a safe and practical therapy. The most common pediatric mitochondrial disease is Leigh syndrome, an episodic, subacute neurodegeneration that can lead to death within the first few years of life, for which there are no proven general therapies. Mice lacking the complex I subunit, Ndufs4, develop a fatal progressive encephalopathy resembling Leigh syndrome and die at ≈60 d of age. We previously reported that continuously breathing normobaric 11% O2 from an early age prevents neurological disease and dramatically improves survival in these mice. Here, we report three advances. First, we report updated survival curves and organ pathology in Ndufs4 KO mice exposed to hypoxia or hyperoxia. Whereas normoxia-treated KO mice die from neurodegeneration at about 60 d, hypoxia-treated mice eventually die at about 270 d, likely from cardiac disease, and hyperoxia-treated mice die within days from acute pulmonary edema. Second, we report that more conservative hypoxia regimens, such as continuous normobaric 17% O2 or intermittent hypoxia, are ineffective in preventing neuropathology. Finally, we show that breathing normobaric 11% O2 in mice with late-stage encephalopathy reverses their established neurological disease, evidenced by improved behavior, circulating disease biomarkers, and survival rates. Importantly, the pathognomonic MRI brain lesions and neurohistopathologic findings are reversed after 4 wk of hypoxia. Upon return to normoxia, Ndufs4 KO mice die within days. Future work is required to determine if hypoxia can be used to prevent and reverse neurodegeneration in other animal models, and to determine if it can be provided in a safe and practical manner to allow in-hospital human therapeutic trials.
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Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3544. [PMID: 27199082 PMCID: PMC5112155 DOI: 10.1002/nbm.3544] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 03/29/2016] [Accepted: 03/30/2016] [Indexed: 06/01/2023]
Abstract
Magnetic-susceptibility-based MRI has made important contributions to the characterization of tissue microstructure, chemical composition, and organ function. This has motivated a number of studies to explore the link between microstructure and susceptibility in organs and tissues throughout the body, including the kidney, heart, and connective tissue. These organs and tissues have anisotropic magnetic susceptibility properties and cellular organizations that are distinct from the lipid organization of myelin in the brain. For instance, anisotropy is traced to the epithelial lipid orientation in the kidney, the myofilament proteins in the heart, and the collagen fibrils in the knee cartilage. The magnetic susceptibility properties of these and other tissues are quantified using specific MRI tools: susceptibility tensor imaging (STI), quantitative susceptibility mapping (QSM), and individual QSM measurements with respect to tubular and filament directions determined from diffusion tensor imaging. These techniques provide complementary and supplementary information to that produced by traditional MRI methods. In the kidney, STI can track tubules in all layers including the cortex, outer medulla, and inner medulla. In the heart, STI detected myofibers throughout the myocardium. QSM in the knee revealed three unique layers in articular cartilage by exploiting the anisotropic susceptibility features of collagen. While QSM and STI are promising tools to study tissue susceptibility, certain technical challenges must be overcome in order to realize routine clinical use. This paper reviews essential experimental findings of susceptibility anisotropy in the body, the underlying mechanisms, and the associated MRI methodologies. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Russell Dibb
- Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Luke Xie
- Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710
- Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Hongjiang Wei
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, 27710
| | - Chunlei Liu
- Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, 27710
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35
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Mekkaoui C, Reese TG, Jackowski MP, Bhat H, Sosnovik DE. Diffusion MRI in the heart. NMR IN BIOMEDICINE 2017; 30:e3426. [PMID: 26484848 PMCID: PMC5333463 DOI: 10.1002/nbm.3426] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 08/01/2015] [Accepted: 09/10/2015] [Indexed: 05/25/2023]
Abstract
Diffusion MRI provides unique information on the structure, organization, and integrity of the myocardium without the need for exogenous contrast agents. Diffusion MRI in the heart, however, has proven technically challenging because of the intrinsic non-rigid deformation during the cardiac cycle, displacement of the myocardium due to respiratory motion, signal inhomogeneity within the thorax, and short transverse relaxation times. Recently developed accelerated diffusion-weighted MR acquisition sequences combined with advanced post-processing techniques have improved the accuracy and efficiency of diffusion MRI in the myocardium. In this review, we describe the solutions and approaches that have been developed to enable diffusion MRI of the heart in vivo, including a dual-gated stimulated echo approach, a velocity- (M1 ) or an acceleration- (M2 ) compensated pulsed gradient spin echo approach, and the use of principal component analysis filtering. The structure of the myocardium and the application of these techniques in ischemic heart disease are also briefly reviewed. The advent of clinical MR systems with stronger gradients will likely facilitate the translation of cardiac diffusion MRI into clinical use. The addition of diffusion MRI to the well-established set of cardiovascular imaging techniques should lead to new and complementary approaches for the diagnosis and evaluation of patients with heart disease. © 2015 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
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Affiliation(s)
- Choukri Mekkaoui
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy G Reese
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcel P Jackowski
- Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
| | | | - David E Sosnovik
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Pasqualini FS, Nesmith AP, Horton RE, Sheehy SP, Parker KK. Mechanotransduction and Metabolism in Cardiomyocyte Microdomains. BIOMED RESEARCH INTERNATIONAL 2016; 2016:4081638. [PMID: 28044126 PMCID: PMC5164897 DOI: 10.1155/2016/4081638] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 11/03/2016] [Accepted: 11/07/2016] [Indexed: 01/11/2023]
Abstract
Efficient contractions of the left ventricle are ensured by the continuous transfer of adenosine triphosphate (ATP) from energy production sites, the mitochondria, to energy utilization sites, such as ionic pumps and the force-generating sarcomeres. To minimize the impact of intracellular ATP trafficking, sarcomeres and mitochondria are closely packed together and in proximity with other ultrastructures involved in excitation-contraction coupling, such as t-tubules and sarcoplasmic reticulum junctions. This complex microdomain has been referred to as the intracellular energetic unit. Here, we review the literature in support of the notion that cardiac homeostasis and disease are emergent properties of the hierarchical organization of these units. Specifically, we will focus on pathological alterations of this microdomain that result in cardiac diseases through energy imbalance and posttranslational modifications of the cytoskeletal proteins involved in mechanosensing and transduction.
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Affiliation(s)
- Francesco S. Pasqualini
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering, School of Engineering and Applied Sciences, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Institute for Regenerative Medicine (IREM), Wyss Translational Center, University and ETH Zurich, Zurich, Switzerland
| | - Alexander P. Nesmith
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering, School of Engineering and Applied Sciences, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
| | - Renita E. Horton
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering, School of Engineering and Applied Sciences, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- James Worth Bagley College of Engineering and College of Agriculture and Life Sciences, Mississippi State University, Starkville, MS, USA
| | - Sean P. Sheehy
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering, School of Engineering and Applied Sciences, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
| | - Kevin Kit Parker
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering, School of Engineering and Applied Sciences, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
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Nguyen C, Fan Z, Xie Y, Pang J, Speier P, Bi X, Kobashigawa J, Li D. In vivo diffusion-tensor MRI of the human heart on a 3 tesla clinical scanner: An optimized second order (M2) motion compensated diffusion-preparation approach. Magn Reson Med 2016; 76:1354-1363. [PMID: 27550078 PMCID: PMC5067209 DOI: 10.1002/mrm.26380] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 06/23/2016] [Accepted: 07/22/2016] [Indexed: 12/13/2022]
Abstract
PURPOSE To optimize a diffusion-prepared balanced steady-state free precession cardiac MRI (CMR) technique to perform diffusion-tensor CMR (DT-CMR) in humans on a 3 Tesla clinical scanner METHODS: A previously developed second order motion compensated (M2) diffusion-preparation scheme was significantly shortened (40%) yielding sufficient signal-to-noise ratio for DT-CMR imaging. In 20 healthy volunteers and 3 heart failure (HF) patients, DT-CMR was performed comparing no motion compensation (M0), first order motion compensation (M1), and the optimized M2. Mean diffusivity (MD), fractional anisotropy (FA), helix angle (HA), and HA transmural slope (HATS) were calculated. Reproducibility and success rate (SR) were investigated. RESULTS M2-derived left ventricular (LV) MD, FA, and HATS (1.4 ± 0.2 μm2 /ms, 0.28 ± 0.06, -1.0 ± 0.2 °/%trans) were significantly (P < 0.001) less than M1 (1.8 ± 0.3 μm2 /ms, 0.46 ± 0.14, -0.1 ± 0.3 °/%trans) and M0 (4.8 ± 1.0 μm2 /ms, 0.70 ± 0.14, 0.1 ± 0.3 °/%trans) indicating less motion corruption and yielding values more consistent with previous literature. M2-derived DT-CMR parameters had higher reproducible (ICC > 0.85) and SR (82%) than M1 (ICC = 0.20-0.85; SR = 37%) and M0 (ICC = 0.20-0.30; SR = 11%). M2 DT-CMR was able to yield HA maps with smooth transmural transition from endocardium to epicardium. CONCLUSION The proposed M2 DT-CMR reproducibly yielded bulk motion robust estimations of mean LV MD, FA, HA, and HATS on a 3T clinical scanner. Magn Reson Med 76:1354-1363, 2016. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jianing Pang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Xiaoming Bi
- Siemens Healthcare, Los Angeles, California, USA
| | - Jon Kobashigawa
- Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA.
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Mekkaoui C, Reese TG, Jackowski MP, Cauley SF, Setsompop K, Bhat H, Sosnovik DE. Diffusion Tractography of the Entire Left Ventricle by Using Free-breathing Accelerated Simultaneous Multisection Imaging. Radiology 2016; 282:850-856. [PMID: 27681278 DOI: 10.1148/radiol.2016152613] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To develop a clinically feasible whole-heart free-breathing diffusion-tensor (DT) magnetic resonance (MR) imaging approach with an imaging time of approximately 15 minutes to enable three-dimensional (3D) tractography. Materials and Methods The study was compliant with HIPAA and the institutional review board and required written consent from the participants. DT imaging was performed in seven healthy volunteers and three patients with pulmonary hypertension by using a stimulated echo sequence. Twelve contiguous short-axis sections and six four-chamber sections that covered the entire left ventricle were acquired by using simultaneous multisection (SMS) excitation with a blipped-controlled aliasing in parallel imaging readout. Rate 2 and rate 3 SMS excitation was defined as two and three times accelerated in the section axis, respectively. Breath-hold and free-breathing images with and without SMS acceleration were acquired. Diffusion-encoding directions were acquired sequentially, spatiotemporally registered, and retrospectively selected by using an entropy-based approach. Myofiber helix angle, mean diffusivity, fractional anisotropy, and 3D tractograms were analyzed by using paired t tests and analysis of variance. Results No significant differences (P > .63) were seen between breath-hold rate 3 SMS and free-breathing rate 2 SMS excitation in transmural myofiber helix angle, mean diffusivity (mean ± standard deviation, [0.89 ± 0.09] × 10-3 mm2/sec vs [0.9 ± 0.09] × 10-3 mm2/sec), or fractional anisotropy (0.43 ± 0.05 vs 0.42 ± 0.06). Three-dimensional tractograms of the left ventricle with no SMS and rate 2 and rate 3 SMS excitation were qualitatively similar. Conclusion Free-breathing DT imaging of the entire human heart can be performed in approximately 15 minutes without section gaps by using SMS excitation with a blipped-controlled aliasing in parallel imaging readout, followed by spatiotemporal registration and entropy-based retrospective image selection. This method may lead to clinical translation of whole-heart DT imaging, enabling broad application in patients with cardiac disease. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Choukri Mekkaoui
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - Timothy G Reese
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - Marcel P Jackowski
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - Stephen F Cauley
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - Kawin Setsompop
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - Himanshu Bhat
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
| | - David E Sosnovik
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (C.M., T.G.R., S.F.C., K.S., D.E.S.), and Cardiovascular Research Center, Cardiology Division (D.E.S.), Massachusetts General Hospital, Harvard Medical School, 149 13th St, Charlestown, MA 02129; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil (M.P.J.); and Siemens Healthcare, Charlestown, Mass (H.B.)
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Dibb R, Liu C. Joint eigenvector estimation from mutually anisotropic tensors improves susceptibility tensor imaging of the brain, kidney, and heart. Magn Reson Med 2016; 77:2331-2346. [PMID: 27385561 DOI: 10.1002/mrm.26321] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 05/18/2016] [Accepted: 06/02/2016] [Indexed: 01/29/2023]
Abstract
PURPOSE To develop a susceptibility-based MRI technique for probing microstructure and fiber architecture of magnetically anisotropic tissues-such as central nervous system white matter, renal tubules, and myocardial fibers-in three dimensions using susceptibility tensor imaging (STI) tools. THEORY AND METHODS STI can probe tissue microstructure, but is limited by reconstruction artifacts because of absent phase information outside the tissue and noise. STI accuracy may be improved by estimating a joint eigenvector from mutually anisotropic susceptibility and relaxation tensors. Gradient-recalled echo image data were simulated using a numerical phantom and acquired from the ex vivo mouse brain, kidney, and heart. Susceptibility tensor data were reconstructed using STI, regularized STI, and the proposed algorithm of mutually anisotropic and joint eigenvector STI (MAJESTI). Fiber map and tractography results from each technique were compared with diffusion tensor data. RESULTS MAJESTI reduced the estimated susceptibility tensor orientation error by 30% in the phantom, 36% in brain white matter, 40% in the inner medulla of the kidney, and 45% in myocardium. This improved the continuity and consistency of susceptibility-based fiber tractography in each tissue. CONCLUSION MAJESTI estimation of the susceptibility tensors yields lower orientation errors for susceptibility-based fiber mapping and tractography in the intact brain, kidney, and heart. Magn Reson Med 77:2331-2346, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Russell Dibb
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, North Carolina, USA.,Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Chunlei Liu
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, North Carolina, USA.,Biomedical Engineering, Duke University, Durham, North Carolina, USA.,Brain Imaging & Analysis Center, Duke University Medical Center, Durham, North Carolina, USA.,Radiology, Duke University Medical Center, Durham, North Carolina, USA
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Hedgire S, Tonyushkin A, Kilcoyne A, Efstathiou JA, Hahn PF, Harisinghani M. Quantitative study of prostate cancer using three dimensional fiber tractography. World J Radiol 2016; 8:397-402. [PMID: 27158426 PMCID: PMC4840197 DOI: 10.4329/wjr.v8.i4.397] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 11/17/2015] [Accepted: 02/16/2016] [Indexed: 02/06/2023] Open
Abstract
AIM: To investigate feasibility of a quantitative study of prostate cancer using three dimensional (3D) fiber tractography.
METHODS: In this institutional review board approved retrospective study, 24 men with biopsy proven prostate cancer underwent prostate magnetic resonance imaging (MRI) with an endorectal coil on a 1.5 T MRI scanner. Single shot echo-planar diffusion weighted images were acquired with b = 0.600 s/mm2, six gradient directions. Open-source available software TrackVis and its Diffusion Toolkit were used to generate diffusion tensor imaging (DTI) map and 3D fiber tracts. Multiple 3D spherical regions of interest were drawn over the areas of tumor and healthy prostatic parenchyma to measure tract density, apparent diffusion coefficient (ADC) and fractional anisotropy (FA), which were statistically analyzed.
RESULTS: DTI tractography showed rich fiber tract anatomy with tract heterogeneity. Mean tumor region and normal parenchymal tract densities were 2.53 and 3.37 respectively (P < 0.001). In the tumor, mean ADC was 0.0011 × 10-3 mm2/s vs 0.0014 × 10-3 mm2/s in the normal parenchyma (P < 0.001). The FA values for tumor and normal parenchyma were 0.2047 and 0.2259 respectively (P = 0.3819).
CONCLUSION: DTI tractography of the prostate is feasible and depicts congregate fibers within the gland. Tract density may offer new biomarker to distinguish tumor from normal tissue.
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Yeh FC, Liu L, Hitchens TK, Wu YL. Mapping immune cell infiltration using restricted diffusion MRI. Magn Reson Med 2016; 77:603-612. [PMID: 26843524 DOI: 10.1002/mrm.26143] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 01/04/2016] [Accepted: 01/05/2016] [Indexed: 12/15/2022]
Abstract
PURPOSE Diffusion MRI provides a noninvasive way to assess tissue microstructure. Based on diffusion MRI, we propose a model-free method called restricted diffusion imaging (RDI) to quantify restricted diffusion and correlate it with cellularity. THEORY AND METHODS An analytical relation between q-space signals and the density of restricted spins was derived to quantify restricted diffusion. A phantom study was conducted to investigate the performance of RDI, and RDI was applied to an animal study to assess immune cell infiltration in myocardial tissues with ischemia-reperfusion injury. RESULTS Our phantom study showed a correlation coefficient of 0.998 between cell density and the restricted diffusion quantified by RDI. The animal study also showed that the high-value regions in RDI matched well with the macrophage infiltration areas in the H&E stained slides. In comparison with diffusion tensor imaging (DTI), RDI exhibited its outperformance to detect macrophage infiltration and delineate inflammatory myocardium. CONCLUSION RDI can be used to reveal cell density and detect immune cell infiltration. RDI exhibits better specificity than the diffusivity measurement derived from DTI. Magn Reson Med 77:603-612, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Fang-Cheng Yeh
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Li Liu
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - T Kevin Hitchens
- Animal Imaging Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Neurobiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yijen L Wu
- Rangos Research Center Animal Imaging Core, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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von Deuster C, Stoeck CT, Genet M, Atkinson D, Kozerke S. Spin echo versus stimulated echo diffusion tensor imaging of the in vivo human heart. Magn Reson Med 2015; 76:862-72. [PMID: 26445426 PMCID: PMC4989478 DOI: 10.1002/mrm.25998] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Revised: 07/29/2015] [Accepted: 09/01/2015] [Indexed: 12/13/2022]
Abstract
Purpose To compare signal‐to‐noise ratio (SNR) efficiency and diffusion tensor metrics of cardiac diffusion tensor mapping using acceleration‐compensated spin‐echo (SE) and stimulated echo acquisition mode (STEAM) imaging. Methods Diffusion weighted SE and STEAM sequences were implemented on a clinical 1.5 Tesla MR system. The SNR efficiency of SE and STEAM was measured (b = 50–450 s/mm2) in isotropic agar, anisotropic diffusion phantoms and the in vivo human heart. Diffusion tensor analysis was performed on mean diffusivity, fractional anisotropy, helix and transverse angles. Results In the isotropic phantom, the ratio of SNR efficiency for SE versus STEAM, SNRt(SE/STEAM), was 2.84 ± 0.08 for all tested b‐values. In the anisotropic diffusion phantom the ratio decreased from 2.75 ± 0.05 to 2.20 ± 0.13 with increasing b‐value, similar to the in vivo decrease from 2.91 ± 0.43 to 2.30 ± 0.30. Diffusion tensor analysis revealed reduced deviation of helix angles from a linear transmural model and reduced transverse angle standard deviation for SE compared with STEAM. Mean diffusivity and fractional anisotropy were measured to be statistically different (P < 0.001) between SE and STEAM. Conclusion Cardiac DTI using motion‐compensated SE yields a 2.3–2.9× increase in SNR efficiency relative to STEAM and improved accuracy of tensor metrics. The SE method hence presents an attractive alternative to STEAM based approaches. Magn Reson Med 76:862–872, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Affiliation(s)
- Constantin von Deuster
- Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Christian T Stoeck
- Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Martin Genet
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Sebastian Kozerke
- Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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Bakermans AJ, Abdurrachim D, Moonen RPM, Motaal AG, Prompers JJ, Strijkers GJ, Vandoorne K, Nicolay K. Small animal cardiovascular MR imaging and spectroscopy. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2015; 88-89:1-47. [PMID: 26282195 DOI: 10.1016/j.pnmrs.2015.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 03/09/2015] [Accepted: 03/09/2015] [Indexed: 06/04/2023]
Abstract
The use of MR imaging and spectroscopy for studying cardiovascular disease processes in small animals has increased tremendously over the past decade. This is the result of the remarkable advances in MR technologies and the increased availability of genetically modified mice. MR techniques provide a window on the entire timeline of cardiovascular disease development, ranging from subtle early changes in myocardial metabolism that often mark disease onset to severe myocardial dysfunction associated with end-stage heart failure. MR imaging and spectroscopy techniques play an important role in basic cardiovascular research and in cardiovascular disease diagnosis and therapy follow-up. This is due to the broad range of functional, structural and metabolic parameters that can be quantified by MR under in vivo conditions non-invasively. This review describes the spectrum of MR techniques that are employed in small animal cardiovascular disease research and how the technological challenges resulting from the small dimensions of heart and blood vessels as well as high heart and respiratory rates, particularly in mice, are tackled.
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Affiliation(s)
- Adrianus J Bakermans
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Desiree Abdurrachim
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Rik P M Moonen
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Abdallah G Motaal
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Jeanine J Prompers
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Gustav J Strijkers
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Katrien Vandoorne
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Klaas Nicolay
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
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Dash R, Kim PJ, Matsuura Y, Ikeno F, Metzler S, Huang NF, Lyons JK, Nguyen PK, Ge X, Foo CWP, McConnell MV, Wu JC, Yeung AC, Harnish P, Yang PC. Manganese-Enhanced Magnetic Resonance Imaging Enables In Vivo Confirmation of Peri-Infarct Restoration Following Stem Cell Therapy in a Porcine Ischemia-Reperfusion Model. J Am Heart Assoc 2015. [PMID: 26215972 PMCID: PMC4608088 DOI: 10.1161/jaha.115.002044] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background The exact mechanism of stem cell therapy in augmenting the function of ischemic cardiomyopathy is unclear. In this study, we hypothesized that increased viability of the peri-infarct region (PIR) produces restorative benefits after stem cell engraftment. A novel multimodality imaging approach simultaneously assessed myocardial viability (manganese-enhanced magnetic resonance imaging [MEMRI]), myocardial scar (delayed gadolinium enhancement MRI), and transplanted stem cell engraftment (positron emission tomography reporter gene) in the injured porcine hearts. Methods and Results Twelve adult swine underwent ischemia–reperfusion injury. Digital subtraction of MEMRI-negative myocardium (intrainfarct region) from delayed gadolinium enhancement MRI–positive myocardium (PIR and intrainfarct region) clearly delineated the PIR in which the MEMRI-positive signal reflected PIR viability. Human amniotic mesenchymal stem cells (hAMSCs) represent a unique population of immunomodulatory mesodermal stem cells that restored the murine PIR. Immediately following hAMSC delivery, MEMRI demonstrated an increased PIR viability signal compared with control. Direct PIR viability remained higher in hAMSC-treated hearts for >6 weeks. Increased PIR viability correlated with improved regional contractility, left ventricular ejection fraction, infarct size, and hAMSC engraftment, as confirmed by immunocytochemistry. Increased MEMRI and positron emission tomography reporter gene signal in the intrainfarct region and the PIR correlated with sustained functional augmentation (global and regional) within the hAMSC group (mean change, left ventricular ejection fraction: hAMSC 85±60%, control 8±10%; P<0.05) and reduced chamber dilatation (left ventricular end-diastole volume increase: hAMSC 24±8%, control 110±30%; P<0.05). Conclusions The positron emission tomography reporter gene signal of hAMSC engraftment correlates with the improved MEMRI signal in the PIR. The increased MEMRI signal represents PIR viability and the restorative potential of the injured heart. This in vivo multimodality imaging platform represents a novel, real-time method of tracking PIR viability and stem cell engraftment while providing a mechanistic explanation of the therapeutic efficacy of cardiovascular stem cells.
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Affiliation(s)
- Rajesh Dash
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
| | - Paul J Kim
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | - Yuka Matsuura
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | - Fumiaki Ikeno
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | - Scott Metzler
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | - Ngan F Huang
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
| | - Jennifer K Lyons
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | - Patricia K Nguyen
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
| | - Xiaohu Ge
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | | | - Michael V McConnell
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Department of Electrical Engineering, Stanford University, Stanford, CA (M.V.M.C.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
| | - Joseph C Wu
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
| | - Alan C Yeung
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.)
| | | | - Phillip C Yang
- Division of Cardiovascular Medicine, Stanford University, Stanford, CA (R.D., P.J.K., Y.M., F.I., S.M., N.F.H., J.K.L., P.K.N., X.G., M.V.M.C., J.C.W., A.C.Y., P.C.Y.) Stanford Cardiovascular Institute, Stanford University, Stanford, CA (R.D., N.F.H., P.K.N., M.V.M.C., J.C.W., P.C.Y.)
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Affiliation(s)
- David E Sosnovik
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA (D.E.S.) Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA (D.E.S.)
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Dibb R, Qi Y, Liu C. Magnetic susceptibility anisotropy of myocardium imaged by cardiovascular magnetic resonance reflects the anisotropy of myocardial filament α-helix polypeptide bonds. J Cardiovasc Magn Reson 2015; 17:60. [PMID: 26177899 PMCID: PMC4504227 DOI: 10.1186/s12968-015-0159-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 06/23/2015] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND A key component of evaluating myocardial tissue function is the assessment of myofiber organization and structure. Studies suggest that striated muscle fibers are magnetically anisotropic, which, if measurable in the heart, may provide a tool to assess myocardial microstructure and function. METHODS To determine whether this weak anisotropy is observable and spatially quantifiable with cardiovascular magnetic resonance (CMR), both gradient-echo and diffusion-weighted data were collected from intact mouse heart specimens at 9.4 Tesla. Susceptibility anisotropy was experimentally calculated using a voxelwise analysis of myocardial tissue susceptibility as a function of myofiber angle. A myocardial tissue simulation was developed to evaluate the role of the known diamagnetic anisotropy of the peptide bond in the observed susceptibility contrast. RESULTS The CMR data revealed that myocardial tissue fibers that were parallel and perpendicular to the magnetic field direction appeared relatively paramagnetic and diamagnetic, respectively. A linear relationship was found between the magnetic susceptibility of the myocardial tissue and the squared sine of the myofiber angle with respect to the field direction. The multi-filament model simulation yielded susceptibility anisotropy values that reflected those found in the experimental data, and were consistent that this anisotropy decreased as the echo time increased. CONCLUSIONS Though other sources of susceptibility anisotropy in myocardium may exist, the arrangement of peptide bonds in the myofilaments is a significant, and likely the most dominant source of susceptibility anisotropy. This anisotropy can be further exploited to probe the integrity and organization of myofibers in both healthy and diseased heart tissue.
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Affiliation(s)
- Russell Dibb
- Center for In Vivo Microscopy, Duke University Medical Center, Box 3302, Durham, NC, 27710, USA.
- Biomedical Engineering, Duke University Medical Center, Campus Box 90281, Durham, NC, 27708, USA.
| | - Yi Qi
- Center for In Vivo Microscopy, Duke University Medical Center, Box 3302, Durham, NC, 27710, USA.
| | - Chunlei Liu
- Brain Imaging & Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
- Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA.
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Stoeck CT, von Deuster C, Genet M, Atkinson D, Kozerke S. Second-order motion-compensated spin echo diffusion tensor imaging of the human heart. Magn Reson Med 2015; 75:1669-76. [PMID: 26033456 DOI: 10.1002/mrm.25784] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 04/21/2015] [Accepted: 05/01/2015] [Indexed: 12/13/2022]
Abstract
PURPOSE Myocardial microstructure has been challenging to probe in vivo. Spin echo-based diffusion-weighted sequences allow for single-shot acquisitions but are highly sensitive to cardiac motion. In this study, the use of second-order motion-compensated diffusion encoding was compared with first-order motion-compensated diffusion-weighted imaging during systolic contraction of the heart. METHODS First- and second-order motion-compensated diffusion encoding gradients were incorporated into a triggered single-shot spin echo sequence. The effect of contractile motion on the apparent diffusion coefficients and tensor orientations was investigated in vivo from basal to apical level of the heart. RESULTS Second-order motion compensation was found to increase the range of systolic trigger delays from 30%-55% to 15%-77% peak systole at the apex and from 25%-50% to 15%-79% peak systole at the base. Diffusion tensor analysis yielded more physiological transmural distributions when using second-order motion-compensated diffusion tensor imaging. CONCLUSION Higher-order motion-compensated diffusion encoding decreases the sensitivity to cardiac motion, thereby enabling cardiac DTI over a wider range of time points during systolic contraction of the heart.
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Affiliation(s)
- Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Constantin von Deuster
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom
| | - Martin Genet
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom
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49
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Abstract
The field of regenerative medicine has experienced considerable growth in recent years as the translation of pre-clinical biomaterials and cell- and gene-based therapies begin to reach clinical application. Until recently, the ability to monitor the serial responses to therapeutic treatments has been limited to post-mortem tissue analyses. With improvements in existing imaging modalities and the emergence of hybrid imaging systems, it is now possible to combine information related to structural remodeling with associated molecular events using non-invasive imaging. This review summarizes the established and emerging imaging modalities that are available for in vivo monitoring of clinical regenerative medicine therapies and discusses the strengths and limitations of each imaging modality.
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Affiliation(s)
- Mitchel R. Stacy
- Department of Internal Medicine, Yale University School of Medicine, P.O. Box 208017, Dana-3, New Haven, CT 06520 USA
| | - Albert J. Sinusas
- Departments of Internal Medicine & Diagnostic Radiology, Yale University School of Medicine, P.O. Box 208017, Dana-3, New Haven, CT 06520 USA
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50
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Abdullah OM, Drakos SG, Diakos NA, Wever-Pinzon O, Kfoury AG, Stehlik J, Selzman CH, Reid BB, Brunisholz K, Verma DR, Myrick C, Sachse FB, Li DY, Hsu EW. Characterization of diffuse fibrosis in the failing human heart via diffusion tensor imaging and quantitative histological validation. NMR IN BIOMEDICINE 2014; 27:1378-86. [PMID: 25200106 PMCID: PMC4215542 DOI: 10.1002/nbm.3200] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2014] [Revised: 07/09/2014] [Accepted: 08/15/2014] [Indexed: 05/16/2023]
Abstract
Non-invasive imaging techniques are highly desirable as an alternative to conventional biopsy for the characterization of the remodeling of tissues associated with disease progression, including end-stage heart failure. Cardiac diffusion tensor imaging (DTI) has become an established method for the characterization of myocardial microstructure. However, the relationships between diffuse myocardial fibrosis, which is a key biomarker for staging and treatment planning of the failing heart, and measured DTI parameters have yet to be investigated systematically. In this study, DTI was performed on left ventricular specimens collected from patients with chronic end-stage heart failure as a result of idiopathic dilated cardiomyopathy (n = 14) and from normal donors (n = 5). Scalar DTI parameters, including fractional anisotropy (FA) and mean (MD), primary (D1 ), secondary (D2 ) and tertiary (D3 ) diffusivities, were correlated with collagen content measured by digital microscopy. Compared with hearts from normal subjects, the FA in failing hearts decreased by 22%, whereas the MD, D2 and D3 increased by 12%, 14% and 24%, respectively (P < 0.01). No significant change was detected for D1 between the two groups. Furthermore, significant correlation was observed between the DTI scalar indices and quantitative histological measurements of collagen (i.e. fibrosis). Pearson's correlation coefficients (r) between collagen content and FA, MD, D2 and D3 were -0.51, 0.59, 0.56 and 0.62 (P < 0.05), respectively. The correlation between D1 and collagen content was not significant (r = 0.46, P = 0.05). Computational modeling analysis indicated that the behaviors of the DTI parameters as a function of the degree of fibrosis were well explained by compartmental exchange between myocardial and collagenous tissues. Combined, these findings suggest that scalar DTI parameters can be used as metrics for the non-invasive assessment of diffuse fibrosis in failing hearts.
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Affiliation(s)
| | - Stavros G. Drakos
- Molecular Medicine Program, University of Utah
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | | | - Omar Wever-Pinzon
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Abdallah G. Kfoury
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Josef Stehlik
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Craig H. Selzman
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Bruce B. Reid
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Kim Brunisholz
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | - Divya Ratan Verma
- UTAH Cardiac Transplant Program (University of Utah Hospital, Intermountain Medical Center, Salt Lake Veterans Affairs Medical Center)
| | | | - Frank B. Sachse
- Department of Bioengineering, University of Utah
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah
| | - Dean Y. Li
- Molecular Medicine Program, University of Utah
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