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Kar J, Cohen MV, McQuiston SA, Poorsala T, Malozzi CM. Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients. J Med Imaging (Bellingham) 2024; 11:024003. [PMID: 38510543 PMCID: PMC10950093 DOI: 10.1117/1.jmi.11.2.024003] [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: 08/25/2020] [Accepted: 03/01/2022] [Indexed: 03/22/2024] Open
Abstract
Purpose: The goal of this study was to develop a fully convolutional network (FCN) tool to automatedly segment the left-ventricular (LV) myocardium in displacement encoding with stimulated echoes MRI. The segmentation results are used for LV chamber quantification and strain analyses in breast cancer patients susceptible to cancer therapy-related cardiac dysfunction (CTRCD). Approach: A DeepLabV3+ FCN with a ResNet-101 backbone was custom-designed to conduct chamber quantification on 45 female breast cancer datasets (23 training, 11 validation, and 11 test sets). LV structural parameters and LV ejection fraction (LVEF) were measured, and myocardial strains estimated with the radial point interpolation method. Myocardial classification validation was against quantization-based ground-truth with computations of accuracy, Dice score, average perpendicular distance (APD), Hausdorff-distance, and others. Additional validations were conducted with equivalence tests and Cronbach's alpha (C - α ) intraclass correlation coefficients between the FCN and a vendor tool on chamber quantification and myocardial strain computations. Results: Myocardial classification results against ground-truth were Dice = 0.89 , APD = 2.4 mm , and accuracy = 97 % for the validation set and Dice = 0.90 , APD = 2.5 mm , and accuracy = 97 % for the test set. The confidence intervals (CI) and two one-sided t-test results of equivalence tests between the FCN and vendor-tool were CI = - 1.36 % to 2.42%, p-value < 0.001 for LVEF (58 ± 5 % versus 57 ± 6 % ), and CI = - 0.71 % to 0.63%, p-value < 0.001 for longitudinal strain (- 15 ± 2 % versus - 15 ± 3 % ). Conclusions: The validation results were found equivalent to the vendor tool-based parameter estimates, which show that accurate LV chamber quantification followed by strain analysis for CTRCD investigation can be achieved with our proposed FCN methodology.
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Affiliation(s)
- Julia Kar
- University of South Alabama, Departments of Mechanical Engineering and Pharmacology, Alabama, United States
| | - Michael V. Cohen
- University of South Alabama, Department of Cardiology, College of Medicine, Alabama, United States
| | - Samuel A. McQuiston
- University of South Alabama, Department of Radiology, Alabama, United States
| | - Teja Poorsala
- University of South Alabama, Departments of Oncology and Hematology, Alabama, United States
| | - Christopher M. Malozzi
- University of South Alabama, Department of Cardiology, College of Medicine, Alabama, United States
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2
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Kar J, Cohen MV, McQuiston SA, Malozzi CM. Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a prospective study? Magn Reson Imaging 2023; 97:68-81. [PMID: 36581216 PMCID: PMC10292191 DOI: 10.1016/j.mri.2022.12.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/20/2022] [Accepted: 12/23/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE To determine if Artificial Intelligence-based computation of global longitudinal strain (GLS) from left ventricular (LV) MRI is an early prognostic factor of cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients. The main hypothesis based on the patients receiving antineoplastic chemotherapy treatment was CTRCD risk analysis with GLS that was independent of LV ejection fraction (LVEF). METHODS Displacement Encoding with Stimulated Echoes (DENSE) MRI was acquired on 32 breast cancer patients at baseline and 3- and 6-month follow-ups after chemotherapy. Two DeepLabV3+ Fully Convolutional Networks (FCNs) were deployed to automate image segmentation for LV chamber quantification and phase-unwrapping for 3D strains, computed with the Radial Point Interpolation Method. CTRCD risk (cardiotoxicity and adverse cardiac events) was analyzed with Cox Proportional Hazards (PH) models with clinical and contractile prognostic factors. RESULTS GLS worsened from baseline to the 3- and 6-month follow-ups (-19.1 ± 2.1%, -16.0 ± 3.1%, -16.1 ± 3.0%; P < 0.001). Univariable Cox regression showed the 3-month GLS significantly associated as an agonist (hazard ratio [HR]-per-SD: 2.1; 95% CI: 1.4-3.1; P < 0.001) and LVEF as a protector (HR-per-SD: 0.8; 95% CI: 0.7-0.9; P = 0.001) for CTRCD occurrence. Bivariable regression showed the 3-month GLS (HR-per-SD: 2.0; 95% CI: 1.2-3.4; P = 0.01) as a CTRCD prognostic factor independent of other covariates, including LVEF (HR-per-SD: 1.0; 95% CI: 0.9-1.2; P = 0.9). CONCLUSIONS The end-point analyses proved the hypothesis that GLS is an early, independent prognosticator of incident CTRCD risk. This novel GLS-guided approach to CTRCD risk analysis could improve antineoplastic treatment with further validation in a larger clinical trial.
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Affiliation(s)
- Julia Kar
- Departments of Mechanical Engineering and Pharmacology, University of South Alabama, 150 Jaguar Drive, Mobile, AL 36688, USA.
| | - Michael V Cohen
- Division of Cardiology, Department of Medicine, University Hospital, 2451 USA Medical Center Drive, Mobile, AL 36617, USA; Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, 5851 USA Dr N, Mobile, AL 36688, USA
| | - Samuel A McQuiston
- Department of Radiology, University Hospital, 2451 USA Medical Center Drive, Mobile, AL 36617, USA
| | - Christopher M Malozzi
- Division of Cardiology, Department of Medicine, University Hospital, 2451 USA Medical Center Drive, Mobile, AL 36617, USA
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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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Kar J, Cohen MV, McQuiston SA, Poorsala T, Malozzi CM. Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network. J Biomech 2022; 130:110878. [PMID: 34871894 PMCID: PMC8896910 DOI: 10.1016/j.jbiomech.2021.110878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 01/03/2023]
Abstract
This study's purpose was to develop a direct MRI-based, deep-learning semantic segmentation approach for computing global longitudinal strain (GLS), a known metric for detecting left-ventricular (LV) cardiotoxicity in breast cancer. Displacement Encoding with Stimulated Echoes cardiac image phases acquired from 30 breast cancer patients and 30 healthy females were unwrapped via a DeepLabV3 + fully convolutional network (FCN). Myocardial strains were directly computed from the unwrapped phases with the Radial Point Interpolation Method. FCN-unwrapped phases of a phantom's rotating gel were validated against quality-guided phase-unwrapping (QGPU) and robust transport of intensity equation (RTIE) phase-unwrapping. FCN performance on unwrapping human LV data was measured with F1 and Dice scores versus QGPU ground-truth. The reliability of FCN-based strains was assessed against RTIE-based strains with Cronbach's alpha (C-α) intraclass correlation coefficient. Mean squared error (MSE) of unwrapping the phantom experiment data at 0 dB signal-to-noise ratio were 1.6, 2.7 and 6.1 with FCN, QGPU and RTIE techniques. Human data classification accuracies were F1 = 0.95 (Dice = 0.96) with FCN and F1 = 0.94 (Dice = 0.95) with RTIE. GLS results from FCN and RTIE were -16 ± 3% vs. -16 ± 3% (C-α = 0.9) for patients and -20 ± 3% vs. -20 ± 3% (C-α = 0.9) for healthy subjects. The low MSE from the phantom validation demonstrates accuracy of phase-unwrapping with the FCN and comparable human subject results versus RTIE demonstrate GLS analysis accuracy. A deep-learning methodology for phase-unwrapping in medical images and GLS computation was developed and validated in a heterogeneous cohort.
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Affiliation(s)
- Julia Kar
- Departments of Mechanical Engineering and Pharmacology University of South Alabama 150 Jaguar Drive, Mobile, AL 36688 Phone: 251 460 7456
| | - Michael V. Cohen
- Department of Cardiology College of Medicine University of South Alabama 1700 Center Street, Mobile, AL 36604
| | - Samuel A. McQuiston
- Department of Radiology University of South Alabama 2451 USA Medical Center Drive, Mobile, AL 36617
| | - Teja Poorsala
- Departments of Oncology and Hematology University of South Alabama 101 Memorial Hospital Drive, Building 3 Mobile, AL 36608
| | - Christopher M. Malozzi
- Department of Cardiology College of Medicine University of South Alabama 1700 Center Street, Mobile, AL 36604
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5
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Wang VY, Tartibi M, Zhang Y, Selvaganesan K, Haraldsson H, Auger DA, Faraji F, Spaulding K, Takaba K, Collins A, Aguayo E, Saloner D, Wallace AW, Weinsaft JW, Epstein FH, Guccione J, Ge L, Ratcliffe MB. A kinematic model-based analysis framework for 3D Cine-DENSE-validation with an axially compressed gel phantom and application in sheep before and after antero-apical myocardial infarction. Magn Reson Med 2021; 86:2105-2121. [PMID: 34096083 DOI: 10.1002/mrm.28775] [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: 09/24/2020] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 11/06/2022]
Abstract
PURPOSE Myocardial strain is increasingly used to assess left ventricular (LV) function. Incorporation of LV deformation into finite element (FE) modeling environment with subsequent strain calculation will allow analysis to reach its full potential. We describe a new kinematic model-based analysis framework (KMAF) to calculate strain from 3D cine-DENSE (displacement encoding with stimulated echoes) MRI. METHODS Cine-DENSE allows measurement of 3D myocardial displacement with high spatial accuracy. The KMAF framework uses cine cardiovascular magnetic resonance (CMR) to facilitate cine-DENSE segmentation, interpolates cine-DENSE displacement, and kinematically deforms an FE model to calculate strain. This framework was validated in an axially compressed gel phantom and applied in 10 healthy sheep and 5 sheep after myocardial infarction (MI). RESULTS Excellent Bland-Altman agreement of peak circumferential (Ecc ) and longitudinal (Ell ) strain (mean difference = 0.021 ± 0.04 and -0.006 ± 0.03, respectively), was found between KMAF estimates and idealized FE simulation. Err had a mean difference of -0.014 but larger variation (±0.12). Cine-DENSE estimated end-systolic (ES) Ecc , Ell and Err exhibited significant spatial variation for healthy sheep. Displacement magnitude was reduced on average by 27%, 42%, and 56% after MI in the remote, adjacent and MI regions, respectively. CONCLUSIONS The KMAF framework allows accurate calculation of 3D LV Ecc and Ell from cine-DENSE.
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Affiliation(s)
- Vicky Y Wang
- Veterans Affairs Medical Center, San Francisco, California, USA
| | - Mehrzad Tartibi
- Veterans Affairs Medical Center, San Francisco, California, USA
| | - Yue Zhang
- Veterans Affairs Medical Center, San Francisco, California, USA
| | - Kartiga Selvaganesan
- Department of Biomedical Engineering, University of Berkeley, Berkeley, California, USA
| | - Henrik Haraldsson
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Radiology, University of California, San Francisco, California, USA
| | - Daniel A Auger
- Department of Radiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.,Medical Metrics, Inc., Houston, Texas, USA
| | - Farshid Faraji
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Radiology, University of California, San Francisco, California, USA
| | | | - Kiyoaki Takaba
- Veterans Affairs Medical Center, San Francisco, California, USA
| | | | - Esteban Aguayo
- Veterans Affairs Medical Center, San Francisco, California, USA
| | - David Saloner
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Radiology, University of California, San Francisco, California, USA
| | - Arthur W Wallace
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Bioengineering, University of California, San Francisco, California, USA.,Department of Anesthesia, University of California, San Francisco, California, USA
| | | | - Frederick H Epstein
- Department of Radiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Julius Guccione
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Bioengineering, University of California, San Francisco, California, USA.,Department of Surgery, University of California, San Francisco, California, USA
| | - Liang Ge
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Bioengineering, University of California, San Francisco, California, USA.,Department of Surgery, University of California, San Francisco, California, USA
| | - Mark B Ratcliffe
- Veterans Affairs Medical Center, San Francisco, California, USA.,Department of Bioengineering, University of California, San Francisco, California, USA.,Department of Surgery, University of California, San Francisco, California, USA.,Department of Medicine, University of California, San Francisco, California, USA
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Karr J, Cohen M, McQuiston SA, Poorsala T, Malozzi C. Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity. Br J Radiol 2021; 94:20201101. [PMID: 33571002 PMCID: PMC8010548 DOI: 10.1259/bjr.20201101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 01/11/2021] [Accepted: 02/09/2021] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage related to chemotherapy for breast cancer. This study investigated an automated and supervised deep convolutional neural network (DCNN) model for LV chamber quantification before strain analysis in DENSE images. METHODS The DeepLabV3 +DCNN with three versions of ResNet-50 backbone was designed to conduct chamber quantification on 42 female breast cancer data sets. The convolutional layers in the three ResNet-50 backbones were varied as non-atrous, atrous and modified, atrous with accuracy improvements like using Laplacian of Gaussian filters. Parameters such as LV end-diastolic diameter (LVEDD) and ejection fraction (LVEF) were quantified, and myocardial strains analyzed with the Radial Point Interpolation Method (RPIM). Myocardial classification was validated with the performance metrics of accuracy, Dice, average perpendicular distance (APD) and others. Repeated measures ANOVA and intraclass correlation (ICC) with Cronbach's α (C-Alpha) tests were conducted between the three DCNNs and a vendor tool on chamber quantification and myocardial strain analysis. RESULTS Validation results in the same test-set for myocardial classification were accuracy = 97%, Dice = 0.92, APD = 1.2 mm with the modified ResNet-50, and accuracy = 95%, Dice = 0.90, APD = 1.7 mm with the atrous ResNet-50. The ICC results between the modified ResNet-50, atrous ResNet-50 and vendor-tool were C-Alpha = 0.97 for LVEF (55±7%, 54±7%, 54±7%, p = 0.6), and C-Alpha = 0.87 for LVEDD (4.6 ± 0.3 cm, 4.6 ± 0.3 cm, 4.6 ± 0.4 cm, p = 0.7). CONCLUSION Similar performance metrics and equivalent parameters obtained from comparisons between the atrous networks and vendor tool show that segmentation with the modified, atrous DCNN is applicable for automated LV chamber quantification and subsequent strain analysis in cardiotoxicity. ADVANCES IN KNOWLEDGE A novel deep-learning technique for segmenting DENSE images was developed and validated for LV chamber quantification and strain analysis in cardiotoxicity detection.
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Affiliation(s)
- Julia Karr
- Departments of Mechanical Engineering and Pharmacology, University of South Alabama, Mobile, AL, USA
| | - Michael Cohen
- Department of Cardiology, College of Medicine, University of South Alabama, Mobile, AL, USA
| | | | - Teja Poorsala
- Departments of Oncology and Hematology, University of South Alabama, Mobile, AL, USA
| | - Christopher Malozzi
- Department of Cardiology, College of Medicine, University of South Alabama, Mobile, AL, USA
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7
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Kar BJ, Cohen MV, McQuiston SP, Malozzi CM. A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity. Magn Reson Imaging 2021; 78:127-139. [PMID: 33571634 DOI: 10.1016/j.mri.2021.01.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/26/2020] [Accepted: 01/31/2021] [Indexed: 12/21/2022]
Abstract
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage related to breast cancer chemotherapy. This study investigated an automated LV chamber quantification tool via segmentation with a supervised deep convolutional neural network (DCNN) before strain analysis with DENSE images. Segmentation for chamber quantification analysis was conducted with a custom DeepLabV3+ DCNN with ResNet-50 backbone on 42 female breast cancer datasets (22 training-sets, eight validation-sets and 12 independent test-sets). Parameters such as LV end-diastolic diameter (LVEDD) and ejection fraction (LVEF) were quantified, and myocardial strains analyzed with the Radial Point Interpolation Method (RPIM). Myocardial classification was validated against ground-truth with sensitivity-specificity analysis, the metrics of Dice, average perpendicular distance (APD) and Hausdorff-distance. Following segmentation, validation was conducted with the Cronbach's Alpha (C-Alpha) intraclass correlation coefficient between LV chamber quantification results with DENSE and Steady State Free Precession (SSFP) acquisitions and a vendor tool-based method to segment the DENSE data, and similarly for myocardial strain analysis in the chambers. The results of myocardial classification from segmentation of the DENSE data were accuracy = 97%, Dice = 0.89 and APD = 2.4 mm in the test-set. The C-Alpha correlations from comparing chamber quantification results between the segmented DENSE and SSFP data and vendor tool-based method were 0.97 for LVEF (56 ± 7% vs 55 ± 7% vs 55 ± 6%, p = 0.6) and 0.77 for LVEDD (4.6 ± 0.4 cm vs 4.5 ± 0.3 cm vs 4.5 ± 0.3 cm, p = 0.8). The validation metrics against ground-truth and equivalent parameters obtained from the SSFP segmentation and vendor tool-based comparisons show that the DCNN approach is applicable for automated LV chamber quantification and subsequent strain analysis in cardiotoxicity.
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Affiliation(s)
- By Julia Kar
- Departments of Mechanical Engineering and Pharmacology, University of South Alabama, 150 Jaguar Drive, Mobile, AL 36688, United States of America.
| | - Michael V Cohen
- Department of Cardiology, College of Medicine, University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States of America
| | - Samuel P McQuiston
- Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive, Mobile, AL 36617, United States of America
| | - Christopher M Malozzi
- Department of Cardiology, College of Medicine, University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States of America
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8
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Kar J, Cohen MV, McQuiston SA, Malozzi CM. Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicity. J Med Imaging (Bellingham) 2020; 7:064002. [DOI: 10.1117/1.jmi.7.6.064002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 10/23/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Julia Kar
- University of South Alabama, Department of Mechanical Engineering, Mobile, Alabama
| | - Michael V. Cohen
- University of South Alabama, Department of Cardiology, Mobile, Alabama
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9
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Kar J, Cohen MV, McQuiston SA, Figarola MS, Malozzi CM. Fully automated and comprehensive MRI-based left-ventricular contractility analysis in post-chemotherapy breast cancer patients. Br J Radiol 2019; 93:20190289. [PMID: 31617732 DOI: 10.1259/bjr.20190289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE This study investigated the occurrence of cardiotoxicity-related left-ventricular (LV) contractile dysfunction in breast cancer patients following treatment with antineoplastic chemotherapy agents. METHODS A validated and automated MRI-based LV contractility analysis tool consisting of quantization-based boundary detection, unwrapping of image phases and the meshfree Radial Point Interpolation Method was used toward measuring LV chamber quantifications (LVCQ), three-dimensional strains and torsions in patients and healthy subjects. Data were acquired with the Displacement Encoding with Stimulated Echoes (DENSE) sequence on 21 female patients and 21 age-matched healthy females. Estimates of patient LVCQs from DENSE acquisitions were validated in comparison to similar steady-state free precession measurements and their strain results validated via Bland-Altman interobserver agreements. The occurrence of LV abnormalities was investigated via significant differences in contractility measurements (LVCQs, strains and torsions) between patients and healthy subjects. RESULTS Repeated measures analysis showed similarities between LVCQ measurements from DENSE and steady-state free precession, including cardiac output (4.7 ± 0.4 L, 4.6 ± 0.4 L, p = 0.8), and LV ejection fractions (59±6%, 58±5%, p = 0.2). Differences found between patients and healthy subjects included enlarged basal diameter (5.0 ± 0.5 cm vs 4.4 ± 0.5 cm, p < 0.01), apical torsion (6.0 ± 1.1° vs 9.7 ± 1.4°, p < 0.001) and global longitudinal strain (-0.15 ± 0.02 vs. -0.21 ± 0.04, p < 0.001), but not LV ejection fraction (59±6% vs. 63±6%, p = 0.1). CONCLUSION The results from the statistical analysis reveal the possibility of LV abnormalities in the post-chemotherapy patients via enlarged basal diameter and reduced longitudinal strain and torsion, in comparison to healthy subjects. ADVANCES IN KNOWLEDGE This study shows that subclinical LV abnormalities in post-chemotherapy breast cancer patients can be detected with an automated technique for the comprehensive analysis of contractile parameters.
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Affiliation(s)
- Julia Kar
- Departments of Mechanical Engineering and Pharmacology, University of South Alabama, 150 Jaguar Drive, Mobile, AL 36688, United States
| | - Michael V Cohen
- Department of Cardiology, College of Medicine University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States
| | - Samuel A McQuiston
- Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive, Mobile, AL 36617, United States
| | - Maria S Figarola
- Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive, Mobile, AL 36617, United States
| | - Christopher M Malozzi
- Department of Cardiology, College of Medicine University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States
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10
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Abstract
Cardiovascular magnetic resonance (CMR) imaging is useful to identify systolic dysfunction, particularly when echocardiographic imaging is not acceptable because of poor acoustic windows or when left ventricular ejection fraction (LVEF) is inconclusive by other modalities and an accurate LVEF measurement is needed. Of particular advantage in cardio-oncology is CMR's capability to perform tissue characterization to noninvasively identify changes in pathologic conditions related to cancer therapy or to discriminate causes of disease that may confound presentation in cardio-oncology patients. For these reasons, there is an increasing use of CMR in the screening and surveillance of cardio-oncology patients.
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Affiliation(s)
- Jennifer Hawthorne Jordan
- Department of Biomedical Engineering, Virginia Commonwealth University, Pauley Heart Center, Virginia Commonwealth University Health Sciences, 8-119B, 1200 East Broad Street, Richmond, VA 23298, USA.
| | - William Gregory Hundley
- Pauley Heart Center, Virginia Commonwealth University Health Sciences, 8-124, 1200 East Broad Street, Richmond, VA 23298, USA
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11
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Liu ZQ, Zhang X, Wenk JF. Quantification of regional right ventricular strain in healthy rats using 3D spiral cine dense MRI. J Biomech 2019; 94:219-223. [PMID: 31421808 DOI: 10.1016/j.jbiomech.2019.07.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/03/2019] [Accepted: 07/22/2019] [Indexed: 11/26/2022]
Abstract
Statistical data from clinical studies suggests that right ventricular (RV) circumferential strain (Ecc) and longitudinal strain (Ell) are significant biomarkers for many cardiovascular diseases. However, a detailed and regional characterization of these strains in the RV is very limited. In the current study, RV images were obtained with 3D spiral cine DENSE MRI in healthy rats. An algorithm for surface growing was proposed in order to fit irregular topology. Specifically, a new custom plugin for the DENSEanalysis program, called 3D DENSE Plugin for Crescent Organ, was developed for surface reconstruction and precise segmentation of organs with sharp curvature, such as the murine RV. The RV free wall (RVFW) was divided into three longitudinal thirds (i.e., basal, middle, and apical) with each one partitioned into circumferential fourths (i.e., anterior, anteriorlateral, inferiorlateral and inferior). Peak systolic strains were quantified for each segment and comparisons were performed statistically. The inclusion of a new plugin was able to generate global values for Ecc and Ell that are in good agreement with previous findings using MRI. Despite no regional variation found in the peak Ecc, the peak Ell exhibited regional variation at the anterior side of the RV, which is potentially due to differences in biventricular torsion at the RV insertion point and fiber architecture. These results provide fundamental insights into the regional contractile function of the RV in healthy rat and could act as a normative baseline for future studies on regional changes induced by disease or treatment.
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Affiliation(s)
- Zhan-Qiu Liu
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States
| | - Xiaoyan Zhang
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States; Department of Bioengineering, University of California, San Diego, CA, United States
| | - Jonathan F Wenk
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States; Department of Surgery, University of Kentucky, Lexington, KY, United States.
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Kar J, Cohen MV, McQuiston SA, Figarola MS, Malozzi CM. Can post-chemotherapy cardiotoxicity be detected in long-term survivors of breast cancer via comprehensive 3D left-ventricular contractility (strain) analysis? Magn Reson Imaging 2019; 62:94-103. [PMID: 31254595 DOI: 10.1016/j.mri.2019.06.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/15/2019] [Accepted: 06/23/2019] [Indexed: 01/03/2023]
Abstract
PURPOSE This study applied a novel and automated contractility analysis tool to investigate possible cardiotoxicity-related left-ventricular (LV) dysfunction in breast cancer patients following treatment with anti-neoplastic chemotherapy agents (CTA). Subclinical dysfunction otherwise undetected via LV ejection fraction (LVEF) was determined. METHODS Deformation data were acquired with the Displacement Encoding with Stimulated Echoes (DENSE) MRI sequence on 16 female patients who had CTA-based treatment. The contractility analysis tool consisting of image quantization-based boundary detection and the meshfree Radial Point Interpolation Method was used to compare chamber quantifications, 3D regional strains and torsion between patients and healthy subjects (N = 26 females with N = 14 age-matched). Quantifications of patient LVEFs from DENSE and Steady-State Free Precession (SSFP) acquisitions were compared, Bland-Altman interobserver agreements measured on their strain results and differences in contractile parameters with healthy subjects determined via Student's t-tests. RESULTS A significant difference was not found between DENSE and SSFP-based patient LVEFs at 58 ± 7% vs 57 ± 9%, p = 0.6. Bland-Altman agreements were - 0.01 ± 0.05 for longitudinal strain and 0.1 ± 1.3° for torsion. Differences in basal diameter indicating enlargement, 5.2 ± 0.5 cm vs 4.5 ± 0.5 cm, p < 0.01, and torsion, 4.7 ± 1.0° vs 8.1 ± 1.1°, p < 0.001 in the mid-ventricle and 5.9 ± 1.2° vs 10.2 ± 0.9°, p < 0.001 apically, were seen between patients and age-matched healthy subjects and similarly in longitudinal strain, but not in LVEF. CONCLUSIONS Results from the statistical analysis reveal the likelihood of LV remodeling in this patient subpopulation otherwise not indicated by LVEF measurements.
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Affiliation(s)
- Julia Kar
- Departments of Mechanical Engineering and Pharmacology, University of South Alabama, 150 Jaguar Drive, Mobile, AL 36688, United States of America.
| | - Michael V Cohen
- Department of Cardiology, College of Medicine, University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States of America
| | - Samuel A McQuiston
- Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive, Mobile, AL 36617, United States of America
| | - Maria S Figarola
- Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive, Mobile, AL 36617, United States of America
| | - Christopher M Malozzi
- Department of Cardiology, College of Medicine, University of South Alabama, 1700 Center Street, Mobile, AL 36604, United States of America
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Zhang X, Liu ZQ, Singh D, Powell DK, Chung CS, Campbell KS, Wenk JF. Differential Effects of Isoproterenol on Regional Myocardial Mechanics in Rat using 3D cine DENSE Cardiovascular Magnetic Resonance. J Biomech Eng 2018; 141:2696750. [PMID: 30098173 DOI: 10.1115/1.4041042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Indexed: 01/03/2023]
Abstract
The present study assessed the acute effects of isoproterenol on left ventricular (LV) mechanics in healthy rats with the hypothesis that ß-adrenergic stimulation influences the mechanics of different myocardial regions of the LV wall in different ways. To accomplish this, magnetic resonance images were obtained in the LV of healthy rats with or without isoproterenol infusion. The LV contours were divided into basal, mid-ventricular, and apical regions. Additionally, the mid-ventricular myocardium was divided into three transmural layers with each layer partitioned into four segments (i.e., septal, inferior, lateral, and anterior). Peak systolic strains and torsion were quantified for each region. Isoproterenol significantly increased peak systolic radial strain and circumferential-longitudinal shear strain, as well as ventricular torsion, throughout the basal, mid-ventricle, and apical regions. In the mid-ventricle, isoproterenol significantly increased peak systolic radial strain, and induced significant increases in peak systolic circumferential strain and longitudinal strain in the septum. Isoproterenol consistently increased peak systolic circumferential-longitudinal shear strain in all mid-ventricular segments. Ventricular torsion was significantly increased in nearly all segments except the inferior sub-endocardium. The effects of isoproterenol on LV systolic mechanics (i.e., 3D strains and torsion) in healthy rats depend on the region. This region-dependency is also strain component-specific. These results provide insight into the regional response of LV mechanics to ß-adrenergic stimulation in rats, and could act as a baseline for future studies on subclinical abnormalities associated with the inotropic response in heart disease.
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Affiliation(s)
- Xiaoyan Zhang
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - Zhan-Qiu Liu
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - Dara Singh
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - David K Powell
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA
| | - Charles S Chung
- Department of Physiology, Wayne State University, Detroit, MI, USA; Department of Physiology, University of Kentucky, Lexington, KY, USA
| | | | - Jonathan F Wenk
- Department of Surgery, University of Kentucky, Lexington, KY, USA
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Kar J, Zhong X, Cohen MV, Cornejo DA, Yates-Judice A, Rel E, Figarola MS. Introduction to a mechanism for automated myocardium boundary detection with displacement encoding with stimulated echoes (DENSE). Br J Radiol 2018; 91:20170841. [PMID: 29565646 PMCID: PMC6221787 DOI: 10.1259/bjr.20170841] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Objective: Displacement ENcoding with Stimulated Echoes (DENSE) is an MRI technique developed to encode phase related to myocardial tissue displacements, and the displacement information directly applied towards detecting left-ventricular (LV) myocardial motion during the cardiac cycle. The purpose of this study is to present a novel, three-dimensional (3D) DENSE displacement-based and magnitude image quantization-based, semi-automated detection technique for myocardial wall motion, whose boundaries are used for rapid and automated computation of 3D myocardial strain. Methods: The architecture of this boundary detection algorithm is primarily based on pixelwise spatiotemporal increments in LV tissue displacements during the cardiac cycle and further reinforced by radially searching for pixel-based image gradients in multithreshold quantized magnitude images. This spatiotemporal edge detection methodology was applied to all LV partitions and their subsequent timeframes that lead to full 3D LV reconstructions. It was followed by quantifications of 3D chamber dimensions and myocardial strains, whose rapid computation was the primary motivation behind developing this algorithm. A pre-existing two-dimensional (2D) semi-automated contouring technique was used in parallel to validate the accuracy of the algorithm and both methods tested on DENSE data acquired in (N = 14) healthy subjects. Chamber quantifications between methods were compared using paired t-tests and Bland–Altman analysis established regional strain agreements. Results: There were no significant differences in the results of chamber quantifications between the 3D semi-automated and existing 2D boundary detection techniques. This included comparisons of ejection fractions, which were 0.62 ± 0.04 vs 0.60 ± 0.06 (p = 0.23) for apical, 0.60 ± 0.04 vs 0.59 ± 0.05 (p = 0.76) for midventricular and 0.56 ± 0.04 vs 0.58 ± 0.05 (p = 0.07) for basal segments, that were quantified using the 3D semi-automated and 2D pre-existing methodologies, respectively. Bland–Altman agreement between regional strains generated biases of 0.01 ± 0.06, –0.01 ± 0.01 and 0.0 ± 0.06 for the radial, circumferential and longitudinal directions, respectively. Conclusion: A new, 3D semi-automated methodology for contouring the entire LV and rapidly generating chamber quantifications and regional strains is presented that was validated in relation to an existing 2D contouring technique. Advances in knowledge: This study introduced a scientific tool for rapid, semi-automated generation of clinical information regarding shape and function in the 3D LV.
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Affiliation(s)
- Julia Kar
- 1 Departments of Mechanical Engineering and Pharmacology, University of South Alabama , Mobile, AL , USA
| | - Xiaodong Zhong
- 2 MR R&D Collaborations, Siemens Healthcare Inc. , Atlanta, GA , USA
| | - Michael V Cohen
- 3 Department of Physiology, College of Medicine, University of South Alabama , Mobile, Al , USA
| | - Daniel Auger Cornejo
- 4 Department of Biomedical Engineering, University of Virginia , Charlottesville, VA , USA
| | - Angela Yates-Judice
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
| | - Eduardo Rel
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
| | - Maria S Figarola
- 5 Department of Radiology, University of South Alabama, 2451 USA Medical Center Drive , Mobile, AL , USA
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Zhang X, Liu ZQ, Campbell KS, Wenk JF. Evaluation of a Novel Finite Element Model of Active Contraction in the Heart. Front Physiol 2018; 9:425. [PMID: 29740338 PMCID: PMC5924776 DOI: 10.3389/fphys.2018.00425] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 04/05/2018] [Indexed: 12/22/2022] Open
Abstract
Finite element (FE) modeling is becoming a widely used approach for the investigation of global heart function. In the present study, a novel model of cellular-level systolic contraction, which includes both length- and velocity-dependence, was implemented into a 3D non-linear FE code. To validate this new FE implementation, an optimization procedure was used to determine the contractile parameters, associated with sarcomeric function, by comparing FE-predicted pressure and strain to experimental measures collected with magnetic resonance imaging and catheterization in the ventricles of five healthy rats. The pressure-volume relationship generated by the FE models matched well with the experimental data. Additionally, the regional distribution of end-systolic strains and circumferential-longitudinal shear angle exhibited good agreement with experimental results overall, with the main deviation occurring in the septal region. Moreover, the FE model predicted a heterogeneous distribution of sarcomere re-lengthening after ventricular ejection, which is consistent with previous in vivo studies. In conclusion, the new FE active contraction model was able to predict the global performance and regional mechanical behaviors of the LV during the entire cardiac cycle. By including more accurate cellular-level mechanisms, this model could provide a better representation of the LV and enhance cardiac research related to both systolic and diastolic dysfunction.
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Affiliation(s)
- Xiaoyan Zhang
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States
| | - Zhan-Qiu Liu
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States
| | - Kenneth S Campbell
- Department of Physiology, University of Kentucky, Lexington, KY, United States
| | - Jonathan F Wenk
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United States.,Department of Surgery, University of Kentucky, Lexington, KY, United States
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Crowe LA, Montecucco F, Carbone F, Friedli I, Hachulla AL, Braunersreuther V, Mach F, Vallée JP. 4D cardiac imaging at clinical 3.0T provides accurate assessment of murine myocardial function and viability. Magn Reson Imaging 2017; 44:46-54. [PMID: 28827099 DOI: 10.1016/j.mri.2017.07.024] [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: 03/06/2017] [Revised: 07/22/2017] [Accepted: 07/23/2017] [Indexed: 12/01/2022]
Abstract
OBJECTIVES We validate a 4D strategy tailored for 3T clinical systems to simultaneously quantify function and infarct size in wild type mice after ischemia/reperfusion, with improved spatial and temporal resolution by comparison to previous published protocols using clinical field MRI systems. METHODS C57BL/6J mice underwent 60min ischemia/reperfusion (n=14) or were controls without surgery (n=6). Twenty-four hours after surgery mice were imaged with gadolinium injection and sacrificed for post-mortem MRI and histology with serum also taken for Troponin I levels. The double ECG- and respiratory-triggered 3D FLASH (Fast Low Angle Shot) gradient echo (GRE) cine sequence had an acquired isotropic resolution of 344μm, TR/TE of 7.8/2.9ms and acquisition time 25-35min. The conventional 2D FLASH cine sequence had the same in-plane resolution of 344μm, 1mm slice thickness and TR/TE 11/5.4ms for an acquisition time of 20-25min plus 5min for planning. Left ventricle (LV) and right ventricle (RV) volumes were measured and functional parameters compared 2D to 3D, left to right and for inter and intra observer reproducibility. MRI infarct volume was compared to histology. RESULTS For the function evaluation, the 3D cine outperformed 2D cine for spatial and temporal resolution. Protocol time for the two methods was equivalent (25-35min). Flow artifacts were reduced (p=0.008) and epi/endo-cardial delineation showed good intra and interobserver reproducibility. Paired t-test comparing ejection volume left to right showed no significant difference for 3D (p=0.37), nor 2D (p=0.30) and correlation slopes of left to right EV were 1.17 (R2=0.75) for 2D and 1.05 (R2=0.50) for 3D. Quantifiable 'late gadolinium enhancement' infarct volume was seen only with the 3D cine and correlated to histology (R2=0.89). Left ejection fraction and MRI-measured infarct volume correlated (R2>0.3). CONCLUSIONS The 4D strategy, with contrast injection, was validated in mice for function and infarct quantification from a single scan with minimal slice planning.
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Affiliation(s)
- Lindsey A Crowe
- Division of Radiology, Department of Radiology and Medical Informatics, Geneva University Hospital and Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland.
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132 Genoa, Italy; IRCCS AOU San Martino - IST, Genova, 10 Largo Rosanna Benzi, 16132 Genoa, Italy.
| | - Federico Carbone
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132 Genoa, Italy.
| | - Iris Friedli
- Division of Radiology, Department of Radiology and Medical Informatics, Geneva University Hospital and Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland.
| | - Anne-Lise Hachulla
- Division of Radiology, Department of Radiology and Medical Informatics, Geneva University Hospital and Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland.
| | - Vincent Braunersreuther
- Division of Pathology, Department of Genetics and Laboratory Medicine, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland.
| | - François Mach
- Division of Cardiology, Foundation for Medical Researches, Faculty of Medicine, Department of Internal Medicine, University of Geneva, 64 avenue de la Roseraie, 1211 Geneva, Switzerland.
| | - Jean-Paul Vallée
- Division of Radiology, Department of Radiology and Medical Informatics, Geneva University Hospital and Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland.
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Zhang X, Liu ZQ, Singh D, Wehner GJ, Powell DK, Campbell KS, Fornwalt BK, Wenk JF. Regional quantification of myocardial mechanics in rat using 3D cine DENSE cardiovascular magnetic resonance. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3733. [PMID: 28481037 PMCID: PMC10539034 DOI: 10.1002/nbm.3733] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 03/23/2017] [Accepted: 03/24/2017] [Indexed: 06/07/2023]
Abstract
Rat models have assumed an increasingly important role in cardiac research. However, a detailed profile of regional cardiac mechanics, such as strains and torsion, is lacking for rats. We hypothesized that healthy rat left ventricles (LVs) exhibit regional differences in cardiac mechanics, which are part of normal function. In this study, images of the LV were obtained with 3D cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance in 10 healthy rats. To evaluate regional cardiac mechanics, the LV was divided into basal, mid-ventricular, and apical regions. The myocardium at the mid-LV was further partitioned into four wall segments (i.e. septal, inferior, lateral, and anterior) and three transmural layers (i.e. sub-endocardium, mid-myocardium, and sub-epicardium). The six Lagrangian strain components (i.e. Err , Ecc , Ell , Ecl , Erl , and Ecr ) were computed from the 3D displacement field and averaged within each region of interest. Torsion was quantified using the circumferential-longitudinal shear angle. While peak systolic Ecl differed between the mid-ventricle and apex, the other five components of peak systolic strain were similar across the base, mid-ventricle, and apex. In the mid-LV myocardium, Ecc decreased gradually from the sub-endocardial to the sub-epicardial layer. Ell demonstrated significant differences between the four wall segments, with the largest magnitude in the inferior segment. Err was uniform among the four wall segments. Ecl varied along the transmural direction and among wall segments, whereas Erl differed only among the wall segments. Erc was not associated with significant variations. Torsion also varied along the transmural direction and among wall segments. These results provide fundamental insights into the regional contractile function of healthy rat hearts, and form the foundation for future studies on regional changes induced by disease or treatments.
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Affiliation(s)
- Xiaoyan Zhang
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - Zhan-Qiu Liu
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - Dara Singh
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
| | - Gregory J. Wehner
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - David K. Powell
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA
| | | | - Brandon K. Fornwalt
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
- Institute for Advanced Application, Geisinger Health System, Danville, PA
| | - Jonathan F. Wenk
- Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA
- Department of Surgery, University of Kentucky, Lexington, KY, USA
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18
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Qin X, Riegler J, Tiburcy M, Zhao X, Chour T, Ndoye B, Nguyen M, Adams J, Ameen M, Denney TS, Yang PC, Nguyen P, Zimmermann WH, Wu JC. Magnetic Resonance Imaging of Cardiac Strain Pattern Following Transplantation of Human Tissue Engineered Heart Muscles. Circ Cardiovasc Imaging 2017; 9:CIRCIMAGING.116.004731. [PMID: 27903535 DOI: 10.1161/circimaging.116.004731] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 09/16/2016] [Indexed: 12/18/2022]
Abstract
BACKGROUND The use of tissue engineering approaches in combination with exogenously produced cardiomyocytes offers the potential to restore contractile function after myocardial injury. However, current techniques assessing changes in global cardiac performance after such treatments are plagued by relatively low detection ability. Since the treatment is locally performed, this detection could be improved by myocardial strain imaging that measures regional contractility. METHODS AND RESULTS Tissue engineered heart muscles (EHMs) were generated by casting human embryonic stem cell-derived cardiomyocytes with collagen in preformed molds. EHMs were transplanted (n=12) to cover infarct and border zones of recipient rat hearts 1 month after ischemia reperfusion injury. A control group (n=10) received only sham placement of sutures without EHMs. To assess the efficacy of EHMs, magnetic resonance imaging and ultrasound-based strain imaging were performed before and 4 weeks after transplantation. In addition to strain imaging, global cardiac performance was estimated from cardiac magnetic resonance imaging. Although no significant differences were found for global changes in left ventricular ejection fraction (control -9.6±1.3% versus EHM -6.2±1.9%; P=0.17), regional myocardial strain from tagged magnetic resonance imaging was able to detect preserved systolic function in EHM-treated animals compared with control (control 4.4±1.0% versus EHM 1.0±0.6%; P=0.04). However, ultrasound-based strain failed to detect any significant change (control 2.1±3.0% versus EHM 6.3±2.9%; P=0.46). CONCLUSIONS This study highlights the feasibility of using cardiac strain from tagged magnetic resonance imaging to assess functional changes in rat models following localized regenerative therapies, which may not be detected by conventional measures of global systolic performance.
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Affiliation(s)
- Xulei Qin
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Johannes Riegler
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Malte Tiburcy
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Xin Zhao
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Tony Chour
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Babacar Ndoye
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Michael Nguyen
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Jackson Adams
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Mohamed Ameen
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Thomas S Denney
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Phillip C Yang
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Patricia Nguyen
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Wolfram H Zimmermann
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.)
| | - Joseph C Wu
- From the Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, CA (X.Q., J.R., X.Z., T.C., B.N., M.N., J.A., M.A., P.C.Y., P.N., J.C.W.); Auburn University MRI Research Center, Department of Electrical and Computer Engineering, AL (T.S.D.); Institute of Pharmacology, Heart Research Center, University Medical Center, Georg-August-University and German Center for Cardiovascular Research, Göttingen, Germany (M.T., W.H.Z.).
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19
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Suever JD, Wehner GJ, Jing L, Powell DK, Hamlet SM, Grabau JD, Mojsejenko D, Andres KN, Haggerty CM, Fornwalt BK. Right Ventricular Strain, Torsion, and Dyssynchrony in Healthy Subjects Using 3D Spiral Cine DENSE Magnetic Resonance Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2017; 36:1076-1085. [PMID: 28055859 PMCID: PMC5711416 DOI: 10.1109/tmi.2016.2646321] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Mechanics of the left ventricle (LV) are important indicators of cardiac function. The role of right ventricular (RV) mechanics is largely unknown due to the technical limitations of imaging its thin wall and complex geometry and motion. By combining 3D Displacement Encoding with Stimulated Echoes (DENSE) with a post-processing pipeline that includes a local coordinate system, it is possible to quantify RV strain, torsion, and synchrony. In this study, we sought to characterize RV mechanics in 50 healthy individuals and compare these values to their LV counterparts. For each cardiac frame, 3D displacements were fit to continuous and differentiable radial basis functions, allowing for the computation of the 3D Cartesian Lagrangian strain tensor at any myocardial point. The geometry of the RV was extracted via a surface fit to manually delineated endocardial contours. Throughout the RV, a local coordinate system was used to transform from a Cartesian strain tensor to a polar strain tensor. It was then possible to compute peak RV torsion as well as peak longitudinal and circumferential strain. A comparable analysis was performed for the LV. Dyssynchrony was computed from the standard deviation of regional activation times. Global circumferential strain was comparable between the RV and LV (-18.0% for both) while longitudinal strain was greater in the RV (-18.1% vs. -15.7%). RV torsion was comparable to LV torsion (6.2 vs. 7.1 degrees, respectively). Regional activation times indicated that the RV contracted later but more synchronously than the LV. 3D spiral cine DENSE combined with a post-processing pipeline that includes a local coordinate system can resolve both the complex geometry and 3D motion of the RV.
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20
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Kar J, Cupps B, Zhong X, Koerner D, Kulshrestha K, Neudecker S, Bell J, Craddock H, Pasque M. Preliminary investigation of multiparametric strain Z-score (MPZS) computation using displacement encoding with simulated echoes (DENSE) and radial point interpretation method (RPIM). J Magn Reson Imaging 2016; 44:993-1002. [PMID: 27038246 PMCID: PMC5028227 DOI: 10.1002/jmri.25239] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Revised: 02/28/2016] [Accepted: 02/29/2016] [Indexed: 01/19/2023] Open
Abstract
PURPOSE To describe and assess an automated normalization method for identifying sentinel (septal) regions of myocardial dysfunction in nonischemic, nonvalvular dilated cardiomyopathy (DCM), using an unprecedented combination of the navigator-gated 3D spiral displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI), radial point interpolation (RPIM) and multiparametric strain z-score (MPZS). MATERIALS AND METHODS Navigator-gated 3D spiral DENSE, in a 1.5T MRI machine, was used for acquiring the displacement encoded complex images, MR Analytical Software System (MASS) for automated boundary detection and automated meshfree RPIM for left-ventricular (LV) myocardial strain computation to analyze MPZS in 36 subjects (with n = 17 DCM patients). Pearson's r correlation established relations between global/sentinel MPZS and ejection fraction (EF). The time taken for combined RPIM-MPZS computations was recorded. RESULTS Maximum MPZS differences were seen between anteroseptal and posterolateral regions in the base (2.0 ± 0.3 vs. 0.9 ± 0.5) and the mid-wall (2.1 ± 0.4 vs. 1.0 ± 0.4). These regional differences were found to be consistent with historically documented septal injury in nonischemic DCM. Correlations were 0.6 between global MPZS and EF, and 0.7 between sentinel MPZS and EF. The time taken for combined RPIM-MPZS computations per subject was 18.9 ± 5.9 seconds. CONCLUSION Heterogeneous contractility found in the sentinel regions with the current automated MPZS computation scheme and the correlation found between MPZS and EF may lead to the creation of a new clinical metric in LV DCM surveillance. J. MAGN. RESON. IMAGING 2016;44:993-1002.
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MESH Headings
- Aged
- Algorithms
- Cardiomyopathy, Dilated/complications
- Cardiomyopathy, Dilated/diagnostic imaging
- Cardiomyopathy, Dilated/physiopathology
- Computer Simulation
- Elastic Modulus
- Elasticity Imaging Techniques/methods
- Female
- Humans
- Image Enhancement/methods
- Image Interpretation, Computer-Assisted/methods
- Imaging, Three-Dimensional/methods
- Magnetic Resonance Imaging/methods
- Male
- Middle Aged
- Models, Cardiovascular
- Pattern Recognition, Automated/methods
- Pilot Projects
- Reproducibility of Results
- Sensitivity and Specificity
- Signal Processing, Computer-Assisted
- Stress, Mechanical
- Stroke Volume
- Tensile Strength
- Ventricular Dysfunction, Left/diagnostic imaging
- Ventricular Dysfunction, Left/etiology
- Ventricular Dysfunction, Left/physiopathology
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Affiliation(s)
- Julia Kar
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
| | - Brian Cupps
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Xiaodong Zhong
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Danielle Koerner
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Kevin Kulshrestha
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Samuel Neudecker
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Jennifer Bell
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Heidi Craddock
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Michael Pasque
- Department of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA
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21
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Vanhoutte L, Gerber BL, Gallez B, Po C, Magat J, Balligand JL, Feron O, Moniotte S. High field magnetic resonance imaging of rodents in cardiovascular research. Basic Res Cardiol 2016; 111:46. [PMID: 27287250 DOI: 10.1007/s00395-016-0565-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 06/01/2016] [Indexed: 02/07/2023]
Abstract
Transgenic and gene knockout rodent models are primordial to study pathophysiological processes in cardiovascular research. Over time, cardiac MRI has become a gold standard for in vivo evaluation of such models. Technical advances have led to the development of magnets with increasingly high field strength, allowing specific investigation of cardiac anatomy, global and regional function, viability, perfusion or vascular parameters. The aim of this report is to provide a review of the various sequences and techniques available to image mice on 7-11.7 T magnets and relevant to the clinical setting in humans. Specific technical aspects due to the rise of the magnetic field are also discussed.
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Affiliation(s)
- Laetitia Vanhoutte
- Department of Paediatric Cardiology, Cliniques universitaires Saint Luc, Université Catholique de Louvain (UCL), Brussels, Belgium. .,Pole of Pharmacology and Therapeutics (FATH), Institute of Experimental and Clinical Research (IREC), Université Catholique de Louvain (UCL), Brussels, Belgium.
| | - Bernhard L Gerber
- Division of Cardiology, Cliniques universitaires Saint Luc, Université Catholique de Louvain (UCL), Brussels, Belgium.,Pole of Cardiovascular Research (CARD), Institute of Experimental and Clinical Research (IREC), Université Catholique de Louvain (UCL), Brussels, Belgium
| | - Bernard Gallez
- Biomedical Magnetic Resonance Unit (REMA), Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCL), Brussels, Belgium
| | - Chrystelle Po
- CNRS, ICube, FMTS, Institut de Physique Biologique, Faculté de Médecine, Université de Strasbourg, Strasbourg, France
| | - Julie Magat
- L'Institut de RYthmologie et de Modélisation Cardiaque (LIRYC), Inserm U1045, Bordeaux, France
| | - Jean-Luc Balligand
- Pole of Pharmacology and Therapeutics (FATH), Institute of Experimental and Clinical Research (IREC), Université Catholique de Louvain (UCL), Brussels, Belgium
| | - Olivier Feron
- Pole of Pharmacology and Therapeutics (FATH), Institute of Experimental and Clinical Research (IREC), Université Catholique de Louvain (UCL), Brussels, Belgium
| | - Stéphane Moniotte
- Department of Paediatric Cardiology, Cliniques universitaires Saint Luc, Université Catholique de Louvain (UCL), Brussels, Belgium
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22
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Wehner GJ, Grabau JD, Suever JD, Haggerty CM, Jing L, Powell DK, Hamlet SM, Vandsburger MH, Zhong X, Fornwalt BK. 2D cine DENSE with low encoding frequencies accurately quantifies cardiac mechanics with improved image characteristics. J Cardiovasc Magn Reson 2015; 17:93. [PMID: 26538111 PMCID: PMC4634910 DOI: 10.1186/s12968-015-0196-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 10/26/2015] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Displacement Encoding with Stimulated Echoes (DENSE) encodes displacement into the phase of the magnetic resonance signal. The encoding frequency (ke) maps the measured phase to tissue displacement while the strength of the encoding gradients affects image quality. 2D cine DENSE studies have used a ke of 0.10 cycles/mm, which is high enough to remove an artifact-generating echo from k-space, provide high sensitivity to tissue displacements, and dephase the blood pool. However, through-plane dephasing can remove the unwanted echo and dephase the blood pool without relying on high ke. Additionally, the high sensitivity comes with the costs of increased phase wrapping and intra-voxel dephasing. We hypothesized that ke below 0.10 cycles/mm can be used to improve image characteristics and provide accurate measures of cardiac mechanics. METHODS Spiral cine DENSE images were obtained for 10 healthy subjects and 10 patients with a history of heart disease on a 3 T Siemens Trio. A mid-ventricular short-axis image was acquired with different ke: 0.02, 0.04, 0.06, 0.08, and 0.10 cycles/mm. Peak twist, circumferential strain, and radial strain were compared between acquisitions employing different ke using Bland-Altman analyses and coefficients of variation. The percentage of wrapped pixels in the phase images at end-systole was calculated for each ke. The dephasing of the blood signal and signal to noise ratio (SNR) were also calculated and compared. RESULTS Negligible differences were seen in strains and twist for all ke between 0.04 and 0.10 cycles/mm. These differences were of the same magnitude as inter-test differences. Specifically, the acquisitions with 0.04 cycles/mm accurately quantified cardiac mechanics and had zero phase wrapping. Compared to 0.10 cycles/mm, the acquisitions with 0.04 cycles/mm had 9 % greater SNR and negligible differences in blood pool dephasing. CONCLUSIONS For 2D cine DENSE with through-plane dephasing, the encoding frequency can be lowered to 0.04 cycles/mm without compromising the quantification of twist or strain. The amount of wrapping can be reduced with this lower value to greatly simplify the input to unwrapping algorithms. The strain and twist results from studies using different encoding frequencies can be directly compared.
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Affiliation(s)
- Gregory J Wehner
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
| | - Jonathan D Grabau
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
| | - Jonathan D Suever
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Institute for Advanced Application, Geisinger Health System, Danville, PA, USA.
| | - Christopher M Haggerty
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Institute for Advanced Application, Geisinger Health System, Danville, PA, USA.
| | - Linyuan Jing
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Institute for Advanced Application, Geisinger Health System, Danville, PA, USA.
| | - David K Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
| | - Sean M Hamlet
- Department of Electrical Engineering, University of Kentucky, Lexington, KY, USA.
| | | | - Xiaodong Zhong
- MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, USA.
| | - Brandon K Fornwalt
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Department of Physiology, University of Kentucky, Lexington, KY, USA.
- Department of Medicine, University of Kentucky, Lexington, KY, USA.
- Institute for Advanced Application, Geisinger Health System, Danville, PA, USA.
- Institute for Advanced Application, Geisinger Clinic, 100 North Academy Avenue, Danville, PA, 17822-4400, USA.
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23
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Haggerty CM, Mattingly AC, Kramer SP, Binkley CM, Jing L, Suever JD, Powell DK, Charnigo RJ, Epstein FH, Fornwalt BK. Left ventricular mechanical dysfunction in diet-induced obese mice is exacerbated during inotropic stress: a cine DENSE cardiovascular magnetic resonance study. J Cardiovasc Magn Reson 2015; 17:75. [PMID: 26310667 PMCID: PMC4551701 DOI: 10.1186/s12968-015-0180-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 08/11/2015] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Obesity is a risk factor for cardiovascular disease. There is evidence of impaired left ventricular (LV) function associated with obesity, which may relate to cardiovascular mortality, but some studies have reported no dysfunction. Ventricular function data are generally acquired under resting conditions, which could mask subtle differences and potentially contribute to these contradictory findings. Furthermore, abnormal ventricular mechanics (strains, strain rates, and torsion) may manifest prior to global changes in cardiac function (i.e., ejection fraction) and may therefore represent more sensitive markers of cardiovascular disease. This study evaluated LV mechanics under both resting and stress conditions with the hypothesis that the LV mechanical dysfunction associated with obesity is exacerbated with stress and manifested at earlier stages of disease compared to baseline. METHODS C57BL/6J mice were randomized to a high-fat or control diet (60 %, 10 % kcal from fat, respectively) for varying time intervals (n = 7 - 10 subjects per group per time point, 100 total; 4 - 55 weeks on diet). LV mechanics were quantified under baseline (resting) and/or stress conditions (40 μg/kg/min continuous infusion of dobutamine) using cine displacement encoding with stimulated echoes (DENSE) with 7.4 ms temporal resolution on a 7 T Bruker ClinScan. Peak strain, systolic strain rates, and torsion were quantified. A linear mixed model was used with Benjamini-Hochberg adjustments for multiple comparisons. RESULTS Reductions in LV peak longitudinal strain at baseline were first observed in the obese group after 42 weeks, with no differences in systolic strain rates or torsion. Conversely, reductions in longitudinal strain and circumferential and radial strain rates were seen under inotropic stress conditions after only 22 weeks on diet. Furthermore, stress cardiovascular magnetic resonance (CMR) evaluation revealed supranormal values of LV radial strain and torsion in the obese group early on diet, followed by later deficits. CONCLUSIONS Differences in left ventricular mechanics in obese mice are exacerbated under stress conditions. Stress CMR demonstrated a broader array of mechanical dysfunction and revealed these differences at earlier time points. Thus, it may be important to evaluate cardiac function in the setting of obesity under stress conditions to fully elucidate the presence of ventricular dysfunction.
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MESH Headings
- Animals
- Biomechanical Phenomena
- Cardiotonic Agents/administration & dosage
- Diet, High-Fat
- Disease Models, Animal
- Dobutamine/administration & dosage
- Infusions, Intravenous
- Linear Models
- Magnetic Resonance Imaging, Cine
- Male
- Mice, Inbred C57BL
- Myocardial Contraction/drug effects
- Obesity/complications
- Predictive Value of Tests
- Risk Factors
- Stress, Mechanical
- Stress, Physiological
- Time Factors
- Torsion, Mechanical
- Ventricular Dysfunction, Left/diagnosis
- Ventricular Dysfunction, Left/etiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Function, Left/drug effects
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Affiliation(s)
- Christopher M Haggerty
- Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Geisinger Health System, Institute for Advanced Application, 100 North Academy Avenue, Danville, PA, 17822, USA.
| | - Andrea C Mattingly
- Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
| | - Sage P Kramer
- College of Medicine, University of Kentucky, Lexington, KY, USA.
| | - Cassi M Binkley
- Department of Physiology, University of Kentucky, Lexington, KY, USA.
- Geisinger Health System, Institute for Advanced Application, 100 North Academy Avenue, Danville, PA, 17822, USA.
| | - Linyuan Jing
- Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Geisinger Health System, Institute for Advanced Application, 100 North Academy Avenue, Danville, PA, 17822, USA.
| | - Jonathan D Suever
- Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Geisinger Health System, Institute for Advanced Application, 100 North Academy Avenue, Danville, PA, 17822, USA.
| | - David K Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
| | - Richard J Charnigo
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA.
| | - Frederick H Epstein
- Departments of Biomedical Engineering and Radiology, University of Virginia, Charlottesville, VA, USA.
| | - Brandon K Fornwalt
- Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Department of Physiology, University of Kentucky, Lexington, KY, USA.
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
- Geisinger Health System, Institute for Advanced Application, 100 North Academy Avenue, Danville, PA, 17822, USA.
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24
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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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25
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Michaelides M, Georgiadou S, Constantinides C. In vivo epicardial force and strain characterisation in normal and MLP-knockout murine hearts. Physiol Meas 2015; 36:1573-90. [PMID: 26057415 DOI: 10.1088/0967-3334/36/7/1573] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The study's objective is to quantify in vivo epicardial force and strain in the normal and transgenic myocardium using microsensors.Male mice (n = 39), including C57BL/6 (n = 26), 129/Sv (n = 5), wild-type (WT) C57 × 129Sv (n = 5), and muscle LIM protein (MLP) knock-out (n = 3), were studied under 1.5% isoflurane anaesthesia. Microsurgery allowed the placement of two piezoelectric crystals at longitudinal epicardial loci at the basal, middle, and apical LV regions, and the independent (and/or concurrent) placement of a cantilever force sensor. The findings demonstrate longitudinal contractile and relaxation strains that ranged between 4.8-9.3% in the basal, middle, and apical regions of C57BL/6 mice, and in the mid-ventricular regions of 129/Sv, WT, and MLP mice. Measured forces ranged between 3.1-8.9 mN. The technique's feasibility is also demonstrated in normal mice following afterload, occlusion-reperfusion challenges.Furthermore, the total mid-ventricular forces developed in MLP mice were significantly reduced compared to the WT controls (5.9 ± 0.4 versus 8.9 ± 0.2 mN, p < 0.0001), possibly owing to the fibrotic and stiffer myocardium. No significant strain differences were noted between WT and MLP mice.The possibility of quantifying in vivo force and strain from the normal murine heart is demonstrated with a potential usefulness in the characterisation of transgenic and diseased mice, where regional myocardial function may be significantly altered.
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Affiliation(s)
- M Michaelides
- Department of Mechanical and Manufacturing Engineering, School of Engineering, University of Cyprus, Nicosia, Cyprus. Lecturer, Department of Sport and Exercise Science, UCLan Cyprus, University Avenue 12-14, Pyla 7080, Cyprus
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26
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Wehner GJ, Suever JD, Haggerty CM, Jing L, Powell DK, Hamlet SM, Grabau JD, Mojsejenko WD, Zhong X, Epstein FH, Fornwalt BK. Validation of in vivo 2D displacements from spiral cine DENSE at 3T. J Cardiovasc Magn Reson 2015; 17:5. [PMID: 25634468 PMCID: PMC4311418 DOI: 10.1186/s12968-015-0119-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Accepted: 01/13/2015] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Displacement Encoding with Stimulated Echoes (DENSE) encodes displacement into the phase of the magnetic resonance signal. Due to the stimulated echo, the signal is inherently low and fades through the cardiac cycle. To compensate, a spiral acquisition has been used at 1.5T. This spiral sequence has not been validated at 3T, where the increased signal would be valuable, but field inhomogeneities may result in measurement errors. We hypothesized that spiral cine DENSE is valid at 3T and tested this hypothesis by measuring displacement errors at both 1.5T and 3T in vivo. METHODS Two-dimensional spiral cine DENSE and tagged imaging of the left ventricle were performed on ten healthy subjects at 3T and six healthy subjects at 1.5T. Intersection points were identified on tagged images near end-systole. Displacements from the DENSE images were used to project those points back to their origins. The deviation from a perfect grid was used as a measure of accuracy and quantified as root-mean-squared error. This measure was compared between 3T and 1.5T with the Wilcoxon rank sum test. Inter-observer variability of strains and torsion quantified by DENSE and agreement between DENSE and harmonic phase (HARP) were assessed by Bland-Altman analyses. The signal to noise ratio (SNR) at each cardiac phase was compared between 3T and 1.5T with the Wilcoxon rank sum test. RESULTS The displacement accuracy of spiral cine DENSE was not different between 3T and 1.5T (1.2 ± 0.3 mm and 1.2 ± 0.4 mm, respectively). Both values were lower than the DENSE pixel spacing of 2.8 mm. There were no substantial differences in inter-observer variability of DENSE or agreement of DENSE and HARP between 3T and 1.5T. Relative to 1.5T, the SNR at 3T was greater by a factor of 1.4 ± 0.3. CONCLUSIONS The spiral cine DENSE acquisition that has been used at 1.5T to measure cardiac displacements can be applied at 3T with equivalent accuracy. The inter-observer variability and agreement of DENSE-derived peak strains and torsion with HARP is also comparable at both field strengths. Future studies with spiral cine DENSE may take advantage of the additional SNR at 3T.
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Affiliation(s)
- Gregory J Wehner
- />Department of Biomedical Engineering, University of Kentucky, 741 S Limestone, BBSRB B353, Lexington, KY 40509 USA
| | | | | | - Linyuan Jing
- />Department of Pediatrics, University of Kentucky, Lexington, USA
| | - David K Powell
- />Department of Biomedical Engineering, University of Kentucky, 741 S Limestone, BBSRB B353, Lexington, KY 40509 USA
| | - Sean M Hamlet
- />Department of Electrical Engineering, University of Kentucky, Lexington, USA
| | | | | | - Xiaodong Zhong
- />MR R&D Collaborations, Siemens Healthcare, Atlanta, GA USA
| | - Frederick H Epstein
- />Department of Biomedical Engineering, University of Virginia, Charlottesville, VA USA
| | - Brandon K Fornwalt
- />Department of Biomedical Engineering, University of Kentucky, 741 S Limestone, BBSRB B353, Lexington, KY 40509 USA
- />Department of Pediatrics, University of Kentucky, Lexington, USA
- />Departments of Physiology and Medicine, University of Kentucky, Lexington, USA
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27
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Quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle. PLoS One 2014; 9:e92792. [PMID: 24695115 PMCID: PMC3973660 DOI: 10.1371/journal.pone.0092792] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2013] [Accepted: 02/26/2014] [Indexed: 12/03/2022] Open
Abstract
Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. Different fibre models, globally rule-based or locally optimised to DT-MRI data, were compared, in order to understand whether a subject-specific fibre model would enhance the predictive power of our model with respect to the global ones. We also studied the impact of sheets on ventricular deformation by comparing: (a) a transversely isotropic versus an orthotropic material law and (b) a linear model with a bimodal model of sheet transmural variation. We estimated ejection fraction, wall thickening and base-to-apex shortening and compared them with measures from cine-MRI. We also evaluated Lagrangian strains as local metrics of cardiac deformation. Our results show that the subject-specific fibre model provides little improvement in the metric predictions with respect to global fibre models while material orthotropy allows closer agreement with measures than transverse isotropy. Nonetheless, the impact of sheets in our model is smaller than that of fibres. We conclude that further investigation of the modelling of sheet dynamics is necessary to fully understand the impact of tissue structure on cardiac deformation.
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28
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Kar J, Knutsen AK, Cupps BP, Zhong X, Pasque MK. Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRI. J Magn Reson Imaging 2014; 41:386-96. [PMID: 24753028 DOI: 10.1002/jmri.24576] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 01/03/2014] [Indexed: 11/11/2022] Open
Abstract
PURPOSE Fast cine displacement encoding with stimulated echoes (DENSE) MR has higher spatial resolution and enables rapid postprocessing. Thus we compared the accuracy of regional strains computation by DENSE with tagged MR in healthy and non-ischemic, non-valvular dilated cardiomyopathy (DCM) subjects. MATERIALS AND METHODS Validation of three-dimensional regional strains computed with DENSE was conducted in reference to standard tagged MRI (TMRI) in healthy subjects and patients with DCM. Additional repeatability studies in healthy subjects were conducted to increase confidence in DENSE. A meshfree multiquadrics radial point interpolation method (RPIM) was used for computing Lagrange strains in sixteen left ventricular segments. Bland-Altman analysis and Student's t-tests were conducted to observe similarities in regional strains between sequences and in DENSE repeatability studies. RESULTS Regional circumferential strains ranged from -0.21 ± 0.07 (Lateral-Apex) to -0.11 ± 0.05 (Posterorseptal-Base) in healthy subjects and -0.15 ± 0.04 (Anterior-Apex) to -0.02 ± 0.08 (Posterorseptal-Base) in DCM patients. Computed mean differences in regional circumferential strain from the DENSE-TMRI comparison study was 0.01 ± 0.03 (95% limits of agreement) in normal subjects, -0.01 ± 0.06 in DCM patients and 0.0 ± 0.02 in repeatability studies, with similar agreements in longitudinal and radial strains. CONCLUSION We found agreement between DENSE and tagged MR in patients and volunteers in terms of evaluation of regional strains.
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Affiliation(s)
- Julia Kar
- Department of Surgery School of Medicine, Washington University, St Louis, Missouri, USA
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Kramer SP, Powell DK, Haggerty CM, Binkley CM, Mattingly AC, Cassis LA, Epstein FH, Fornwalt BK. Obesity reduces left ventricular strains, torsion, and synchrony in mouse models: a cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance study. J Cardiovasc Magn Reson 2013; 15:109. [PMID: 24380567 PMCID: PMC3882783 DOI: 10.1186/1532-429x-15-109] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2013] [Accepted: 12/11/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity affects a third of adults in the US and results in an increased risk of cardiovascular mortality. While the mechanisms underlying this increased risk are not well understood, animal models of obesity have shown direct effects on the heart such as steatosis and fibrosis, which may affect cardiac function. However, the effect of obesity on cardiac function in animal models is not well-defined. We hypothesized that diet-induced obesity in mice reduces strain, torsion, and synchrony in the left ventricle (LV). METHODS Ten 12-week-old C57BL/6 J mice were randomized to a high-fat or low-fat diet. After 5 months on the diet, mice were imaged with a 7 T ClinScan using a cine DENSE protocol. Three short-axis and two long-axis slices were acquired for quantification of strains, torsion and synchrony in the left ventricle. RESULTS Left ventricular mass was increased by 15% (p = 0.032) with no change in volumes or ejection fraction. Subepicardial strain was lower in the obese mice with a 40% reduction in circumferential strain (p = 0.008) a 53% reduction in radial strain (p = 0.032) and a trend towards a 19% reduction in longitudinal strain (p = 0.056). By contrast, subendocardial strain was modestly reduced in the obese mice in the circumferential direction by 12% (p = 0.028), and no different in the radial (p = 0.690) or longitudinal (p = 0.602) directions. Peak torsion was reduced by 34% (p = 0.028). Synchrony of contraction was also reduced (p = 0.032) with a time delay in the septal-to-lateral direction. CONCLUSIONS Diet-induced obesity reduces left ventricular strains and torsion in mice. Reductions in cardiac strain are mostly limited to the subepicardium, with relative preservation of function in the subendocardium. Diet-induced obesity also leads to reduced synchrony of contraction and hypertrophy in mouse models.
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MESH Headings
- Animals
- Biomechanical Phenomena
- Diet, High-Fat
- Disease Models, Animal
- Hypertrophy, Left Ventricular/diagnosis
- Hypertrophy, Left Ventricular/etiology
- Hypertrophy, Left Ventricular/physiopathology
- Magnetic Resonance Imaging, Cine
- Mice
- Mice, Inbred C57BL
- Myocardial Contraction
- Obesity/complications
- Obesity/diagnosis
- Obesity/physiopathology
- Predictive Value of Tests
- Stress, Mechanical
- Stroke Volume
- Time Factors
- Torsion, Mechanical
- Ventricular Dysfunction, Left/diagnosis
- Ventricular Dysfunction, Left/etiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Function, Left
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Affiliation(s)
- Sage P Kramer
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
| | - David K Powell
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
| | - Christopher M Haggerty
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
| | - Cassi M Binkley
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
| | - Andrea C Mattingly
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
| | - Lisa A Cassis
- Department of Molecular and Biomedical Pharmacology, University of Kentucky, Lexington, KY, USA
| | - Frederick H Epstein
- Departments of Biomedical Engineering and Radiology, University of Virginia, Charlottesville, VA, USA
| | - Brandon K Fornwalt
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, 800 Rose St, MN-150, Lexington, KY 40536, USA
- Graduate Center for Biomedical Engineering, University of Kentucky, Lexington, KY, USA
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Haggerty CM, Kramer SP, Skrinjar O, Binkley CM, Powell DK, Mattingly AC, Epstein FH, Fornwalt BK. Quantification of left ventricular volumes, mass, and ejection fraction using cine displacement encoding with stimulated echoes (DENSE) MRI. J Magn Reson Imaging 2013; 40:398-406. [PMID: 24923710 DOI: 10.1002/jmri.24350] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Accepted: 07/25/2013] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To test the hypothesis that magnitude images from cine displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) can accurately quantify left ventricular (LV) volumes, mass, and ejection fraction (EF). MATERIALS AND METHODS Thirteen mice (C57BL/6J) were imaged using a 7T ClinScan MRI. A short-axis stack of cine T2-weighted black blood (BB) images was acquired for calculation of LV volumes, mass, and EF using the gold standard sum-of-slices methodology. DENSE images were acquired during the same imaging session in three short-axis (basal, mid, apical) and two long-axis orientations. A custom surface fitting algorithm was applied to epicardial and endocardial borders from the DENSE magnitude images to calculate volumes, mass, and EF. Agreement between the DENSE-derived measures and BB-derived measures was assessed via coefficient of variation (CoV). RESULTS 3D surface reconstruction was completed on the order of seconds from segmented images, and required fewer slices to be segmented. Volumes, mass, and EF from DENSE-derived surfaces matched well with BB data (CoVs ≤11%). CONCLUSION LV mass, volumes, and EF in mice can be quantified through sparse (five slices) sampling with DENSE. This consolidation significantly reduces the time required to assess both mass/volume-based measures of cardiac function and advanced cardiac mechanics.
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Affiliation(s)
- Christopher M Haggerty
- University of Kentucky, Departments of Pediatrics, Physiology and Medicine, Lexington, Kentucky, USA
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Kar J, Knutsen AK, Cupps BP, Pasque MK. A validation of two-dimensional in vivo regional strain computed from displacement encoding with stimulated echoes (DENSE), in reference to tagged magnetic resonance imaging and studies in repeatability. Ann Biomed Eng 2013; 42:541-54. [PMID: 24150239 DOI: 10.1007/s10439-013-0931-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Accepted: 10/15/2013] [Indexed: 01/23/2023]
Abstract
Fast cine displacement encoding with stimulated echoes (DENSE) has comparative advantages over tagged MRI (TMRI) including higher spatial resolution and faster post-processing. This study computed regional radial and circumferential myocardial strains with DENSE displacements and validated it in reference to TMRI, according to American Heart Association (AHA) guidelines for standardized segmentation of regions in the left ventricle (LV). This study was therefore novel in examining agreement between the modalities in 16 AHA recommended LV segments. DENSE displacements were obtained with spatiotemporal phase unwrapping and TMRI displacements obtained with a conventional tag-finding algorithm. A validation study with a rotating phantom established similar shear strain between modalities prior to in vivo studies. A novel meshfree nearest node finite element method (NNFEM) was used for rapid computation of Lagrange strain in both phantom and in vivo studies in both modalities. Also novel was conducting in vivo repeatability studies for observing recurring strain patterns in DENSE and increase confidence in it. Comprehensive regional strain agreements via Bland-Altman analysis between the modalities were obtained. Results from the phantom study showed similar radial-circumferential shear strains from the two modalities. Mean differences in regional in vivo circumferential strains were -0.01 ± 0.09 (95% limits of agreement) from comparing the modalities and -0.01 ± 0.07 from repeatability studies. Differences and means from comparison and repeatability studies were uncorrelated (p > 0.05) indicating no increases in differences with increased strain magnitudes. Bland-Altman analysis and similarities in regional strain distribution within the myocardium showed good agreements between DENSE and TMRI and show their interchangeability. NNFEM was also established as a common framework for computing strain in both modalities.
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Affiliation(s)
- Julia Kar
- Department of Surgery, School of Medicine, Washington University in St. Louis, 660 S. Euclid Ave., St Louis, MO, 63110, USA,
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Pennell DJ, Baksi AJ, Carpenter JP, Firmin DN, Kilner PJ, Mohiaddin RH, Prasad SK. Review of Journal of Cardiovascular Magnetic Resonance 2012. J Cardiovasc Magn Reson 2013; 15:76. [PMID: 24006874 PMCID: PMC3847143 DOI: 10.1186/1532-429x-15-76] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Accepted: 08/22/2013] [Indexed: 02/07/2023] Open
Abstract
There were 90 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2012, which is an 8% increase in the number of articles since 2011. The quality of the submissions continues to increase. The editors are delighted to report that the 2011 JCMR Impact Factor (which is published in June 2012) has risen to 4.44, up from 3.72 for 2010 (as published in June 2011), a 20% increase. The 2011 impact factor means that the JCMR papers that were published in 2009 and 2010 were cited on average 4.44 times in 2011. The impact factor undergoes natural variation according to citation rates of papers in the 2 years following publication, and is significantly influenced by highly cited papers such as official reports. However, the progress of the journal's impact over the last 5 years has been impressive. Our acceptance rate is approximately 25%, and has been falling as the number of articles being submitted has been increasing. In accordance with Open-Access publishing, the JCMR articles go on-line as they are accepted with no collating of the articles into sections or special thematic issues. For this reason, the Editors have felt that it is useful once per calendar year to summarize the papers for the readership into broad areas of interest or theme, so that areas of interest can be reviewed in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought in the journal. We hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality manuscripts to JCMR for publication.
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Affiliation(s)
- Dudley J Pennell
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - A John Baksi
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - John Paul Carpenter
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - David N Firmin
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - Philip J Kilner
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - Raad H Mohiaddin
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
| | - Sanjay K Prasad
- Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- Imperial College, London, UK
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Haggerty CM, Kramer SP, Binkley CM, Powell DK, Mattingly AC, Charnigo R, Epstein FH, Fornwalt BK. Reproducibility of cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance for measuring left ventricular strains, torsion, and synchrony in mice. J Cardiovasc Magn Reson 2013; 15:71. [PMID: 23981339 PMCID: PMC3765995 DOI: 10.1186/1532-429x-15-71] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 08/06/2013] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Advanced measures of cardiac function are increasingly important to clinical assessment due to their superior diagnostic and predictive capabilities. Cine DENSE cardiovascular magnetic resonance (CMR) is ideal for quantifying advanced measures of cardiac function based on its high spatial resolution and streamlined post-processing. While many studies have utilized cine DENSE in both humans and small-animal models, the inter-test and inter-observer reproducibility for quantification of advanced cardiac function in mice has not been evaluated. This represents a critical knowledge gap for both understanding the capabilities of this technique and for the design of future experiments. We hypothesized that cine DENSE CMR would show excellent inter-test and inter-observer reproducibility for advanced measures of left ventricular (LV) function in mice. METHODS Five normal mice (C57BL/6) and four mice with depressed cardiac function (diet-induced obesity) were imaged twice, two days apart, on a 7T ClinScan MR system. Images were acquired with 15-20 frames per cardiac cycle in three short-axis (basal, mid, apical) and two long-axis orientations (4-chamber and 2-chamber). LV strain, twist, torsion, and measures of synchrony were quantified. Images from both days were analyzed by one observer to quantify inter-test reproducibility, while inter-observer reproducibility was assessed by a second observer's analysis of day-1 images. The coefficient of variation (CoV) was used to quantify reproducibility. RESULTS LV strains and torsion were highly reproducible on both inter-observer and inter-test bases with CoVs ≤ 15%, and inter-observer reproducibility was generally better than inter-test reproducibility. However, end-systolic twist angles showed much higher variance, likely due to the sensitivity of slice location within the sharp longitudinal gradient in twist angle. Measures of synchrony including the circumferential (CURE) and radial (RURE) uniformity of strain indices, showed excellent reproducibility with CoVs of 1% and 3%, respectively. Finally, peak measures (e.g., strains) were generally more reproducible than the corresponding rates of change (e.g., strain rate). CONCLUSIONS Cine DENSE CMR is a highly reproducible technique for quantification of advanced measures of left ventricular cardiac function in mice including strains, torsion and measures of synchrony. However, myocardial twist angles are not reproducible and future studies should instead report torsion.
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Affiliation(s)
- Christopher M Haggerty
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, Lexington, KY, USA
| | - Sage P Kramer
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, Lexington, KY, USA
| | - Cassi M Binkley
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, Lexington, KY, USA
| | - David K Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Andrea C Mattingly
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, Lexington, KY, USA
| | - Richard Charnigo
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Frederick H Epstein
- Departments of Biomedical Engineering and Radiology, University of Virginia, Charlottesville, VA, USA
| | - Brandon K Fornwalt
- Departments of Pediatrics, Physiology and Medicine, University of Kentucky, Lexington, KY, USA
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
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Pennell DJ, Carpenter JP, Firmin DN, Kilner PJ, Mohiaddin RH, Prasad SK. Review of Journal of Cardiovascular Magnetic Resonance 2011. J Cardiovasc Magn Reson 2012; 14:78. [PMID: 23158097 PMCID: PMC3519784 DOI: 10.1186/1532-429x-14-78] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Accepted: 11/08/2012] [Indexed: 12/15/2022] Open
Abstract
There were 83 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2011, which is an 11% increase in the number of articles since 2010. The quality of the submissions continues to increase. The editors had been delighted with the 2010 JCMR Impact Factor of 4.33, although this fell modestly to 3.72 for 2011. The impact factor undergoes natural variation according to citation rates of papers in the 2 years following publication, and is significantly influenced by highly cited papers such as official reports. However, we remain very pleased with the progress of the journal's impact over the last 5 years. Our acceptance rate is approximately 25%, and has been falling as the number of articles being submitted has been increasing. In accordance with Open-Access publishing, the JCMR articles go on-line as they are accepted with no collating of the articles into sections or special thematic issues. For this reason, the Editors feel it is useful to summarize the papers for the readership into broad areas of interest or theme, which we feel would be useful, so that areas of interest from the previous year can be reviewed in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought in the journal. We hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality manuscripts to JCMR for publication.
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Affiliation(s)
- Dudley J Pennell
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
| | - John Paul Carpenter
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
| | - David N Firmin
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
| | - Philip J Kilner
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
| | - Raad H Mohiaddin
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
| | - Sanjay K Prasad
- CMR Unit Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, Exhibition Road, London, SW7 2AZ, UK
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Gray GA, White CI, Thomson A, Kozak A, Moran C, Jansen MA. Imaging the healing murine myocardial infarct in vivo: ultrasound, magnetic resonance imaging and fluorescence molecular tomography. Exp Physiol 2012; 98:606-13. [PMID: 23064510 DOI: 10.1113/expphysiol.2012.064741] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Improved understanding of the processes involved in infarct healing is required for identification of novel therapeutic targets to limit infarct expansion and consequent long-term ventricular remodelling after myocardial infarction. Infarct healing can be modelled effectively in murine models of coronary artery ligation. While imaging the murine heart is challenging due to its size and high rate of contraction, advances in preclinical imaging now permit accurate assessment of myocardial structure and function in vivo after myocardial infarction. Furthermore, rapid development of a range of molecular probes for use in a number of imaging modalities allows more detailed in vivo analysis of processes, including inflammation, fibrosis and angiogenesis. Here we consider the practical application of in vivo imaging by magnetic resonance imaging, ultrasound and fluorescence molecular tomography for assessment of infarct healing in the mouse.
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Affiliation(s)
- Gillian A Gray
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
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