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Mehdi RR, Kadivar N, Mukherjee T, Mendiola EA, Shah DJ, Karniadakis G, Avazmohammadi R. Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learning. RESEARCH SQUARE 2024:rs.3.rs-4468678. [PMID: 38883756 PMCID: PMC11177985 DOI: 10.21203/rs.3.rs-4468678/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Myocardial infarction (MI) continues to be a leading cause of death worldwide. The precise quantification of infarcted tissue is crucial to diagnosis, therapeutic management, and post-MI care. Late gadolinium enhancement-cardiac magnetic resonance (LGE-CMR) is regarded as the gold standard for precise infarct tissue localization in MI patients. A fundamental limitation of LGE-CMR is the invasive intravenous introduction of gadolinium-based contrast agents that present potential high-risk toxicity, particularly for individuals with underlying chronic kidney diseases. Herein, we develop a completely non-invasive methodology that identifies the location and extent of an infarct region in the left ventricle via a machine learning (ML) model using only cardiac strains as inputs. In this transformative approach, we demonstrate the remarkable performance of a multi-fidelity ML model that combines rodent-based in-silico-generated training data (low-fidelity) with very limited patient-specific human data (high-fidelity) in predicting LGE ground truth. Our results offer a new paradigm for developing feasible prognostic tools by augmenting synthetic simulation-based data with very small amounts of in-vivo human data. More broadly, the proposed approach can significantly assist with addressing biomedical challenges in healthcare where human data are limited.
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Affiliation(s)
- Rana Raza Mehdi
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Nikhil Kadivar
- School of Engineering, Brown University, Providence, RI 02912, USA
| | - Tanmay Mukherjee
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Emilio A. Mendiola
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Dipan J. Shah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX 77030, USA
| | - George Karniadakis
- School of Engineering, Brown University, Providence, RI 02912, USA
- Division of Applied Mathematics, Brown University, Providence, RI 02912, USA
| | - Reza Avazmohammadi
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
- School of Engineering Medicine, Texas A&M University, Houston, TX 77030, USA
- J. Mike Walker ‘66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
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Sillanmäki S, Vainio HL, Ylä-Herttuala E, Husso M, Hedman M. Measuring Cardiac Dyssynchrony with DENSE (Displacement Encoding with Stimulated Echoes)-A Systematic Review. Rev Cardiovasc Med 2023; 24:261. [PMID: 39076380 PMCID: PMC11270089 DOI: 10.31083/j.rcm2409261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/18/2023] [Accepted: 06/26/2023] [Indexed: 07/31/2024] Open
Abstract
Background In this review, we introduce the displacement encoding with stimulated echoes (DENSE) method for measuring myocardial dyssynchrony using cardiovascular magnetic resonance (CMR) imaging. We provide an overview of research findings related to DENSE from the past two decades and discuss other techniques used for dyssynchrony evaluation. Additionally, the review discusses the potential uses of DENSE in clinical practice. Methods A search was conducted to identify relevant articles published from January 2000 through January 2023 using the Scopus, Web of Science, PubMed and Cochrane databases. The following search term was used: (DENSE OR 'displacement encoding with stimulated echoes' OR CURE) AND (dyssynchrony* OR asynchron* OR synchron*) AND (MRI OR 'magnetic resonance' OR CMR). Results After removing duplicates, researchers screened a total of 174 papers. Papers that were not related to the topic, reviews, general overview articles and case reports were excluded, leaving 35 articles for further analysis. Of these, 14 studies focused on cardiac dyssynchrony estimation with DENSE, while the remaining 21 studies served as background material. The studies used various methods for presenting synchronicity, such as circumferential uniformity ratio estimate (CURE), CURE-singular value decomposition (SVD), radial uniformity ratio estimate (RURE), longitudinal uniformity ratio estimate (LURE), time to onset of shortening (TOS) and dyssynchrony index (DI). Most of the dyssynchrony studies concentrated on human heart failure, but congenital heart diseases and obesity were also evaluated. The researchers found that DENSE demonstrated high reproducibility and was found useful for detecting cardiac resynchronisation therapy (CRT) responders, optimising CRT device settings and assessing right ventricle synchronicity. In addition, studies showed a correlation between cardiac fibrosis and mechanical dyssynchrony in humans, as well as a decrease in the synchrony of contraction in the left ventricle in obese mice. Conclusions DENSE shows promise as a tool for quantifying myocardial function and dyssynchrony, with advantages over other cardiac dyssynchrony evaluation methods. However, there remain challenges related to DENSE due to the relatively time-consuming imaging and analysis process. Improvements in imaging and analysing technology, as well as possible artificial intelligence solutions, may help overcome these challenges and lead to more widespread clinical use of DENSE.
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Affiliation(s)
- Saara Sillanmäki
- Institute of Medicine, University of Eastern Finland, 70210 Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, 70029 Kuopio, Finland
| | - Hanna-Liina Vainio
- Institute of Medicine, University of Eastern Finland, 70210 Kuopio, Finland
| | - Elias Ylä-Herttuala
- Diagnostic Imaging Center, Kuopio University Hospital, 70029 Kuopio, Finland
- A.I. Virtanen Institute, University of Eastern Finland, 70210 Kuopio, Finland
| | - Minna Husso
- Diagnostic Imaging Center, Kuopio University Hospital, 70029 Kuopio, Finland
| | - Marja Hedman
- Institute of Medicine, University of Eastern Finland, 70210 Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, 70029 Kuopio, Finland
- Heart Center, Kuopio University Hospital, 70029 Kuopio, Finland
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Sharifi H, Mann CK, Noor AZ, Nikou A, Ferguson CR, Liu ZQ, Rockward AL, Moonschi F, Campbell KS, Leung SW, Wenk JF. Reproducibility of Systolic Strain in Mice Using Cardiac Magnetic Resonance Feature Tracking of Black-Blood Cine Images. Cardiovasc Eng Technol 2022; 13:857-863. [PMID: 35396692 PMCID: PMC9547031 DOI: 10.1007/s13239-022-00621-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/28/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE Mouse models are widely utilized to enhance our understanding of cardiac disease. The goal of this study is to investigate the reproducibility of strain parameters that were measured in mice using cardiac magnetic resonance (CMR) feature-tracking (CMR42, Canada). METHODS We retrospectively analyzed black-blood CMR datasets from thirteen C57BL/6 B6.SJL-CD45.1 mice (N = 10 female, N = 3 male) that were imaged previously. The circumferential, longitudinal, and radial (Ecc, Ell, and Err, respectively) parameters of strain were measured in the mid-ventricular region of the left ventricle. Intraobserver and interobserver reproducibility were assessed for both the end-systolic (ES) and peak strain. RESULTS The ES strain had larger intraclass correlation coefficient (ICC) values when compared to peak strain, for both the intraobserver and interobserver reproducibility studies. Specifically, the intraobserver study showed excellent reproducibility for all three ES strain parameters, namely, Ecc (ICC 0.95, 95% CI 0.83-0.98), Ell (ICC 0.90, 95% CI 0.59-0.97), and Err (ICC 0.92, 95% CI 0.73-0.97). This was also the case for the interobserver study, namely, Ecc (ICC 0.92, 95% CI 0.60-0.98), Ell (ICC 0.76, 95% CI 0.33-0.93), and Err (ICC 0.93, 95% CI 0.68-0.98). Additionally, the coefficient of variation values were all < 10%. CONCLUSION The results of this preliminary study showed excellent reproducibility for all ES strain parameters, with good to excellent reproducibility for the peak strain parameters. Moreover, all ES strain parameters had larger ICC values than the peak strain. In general, these results imply that feature-tracking with CMR42 software and black-blood cine images can be reliably used to assess strain patterns in mice.
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Affiliation(s)
- Hossein Sharifi
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Charles K Mann
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Ahmed Z Noor
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, USA
| | - Amir Nikou
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Connor R Ferguson
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Zhan-Qiu Liu
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Alexus L Rockward
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA
| | - Faruk Moonschi
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Kenneth S Campbell
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, USA
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Steve W Leung
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, USA
| | - Jonathan F Wenk
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA.
- Department of Surgery, College of Medicine, University of Kentucky, Lexington, KY, USA.
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Berberoğlu E, Stoeck CT, Kozerke S, Genet M. Quantification of left ventricular strain and torsion by joint analysis of 3D tagging and cine MR images. Med Image Anal 2022; 82:102598. [PMID: 36049451 DOI: 10.1016/j.media.2022.102598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 06/30/2022] [Accepted: 08/11/2022] [Indexed: 11/19/2022]
Abstract
Cardiovascular magnetic resonance (CMR) imaging is the gold standard for the non-invasive assessment of left-ventricular (LV) function. Prognostic value of deformation metrics extracted directly from regular SSFP CMR images has been shown by numerous studies in the clinical setting, but with some limitations to detect torsion of the myocardium. Tagged CMR introduces trackable features in the myocardium that allow for the assessment of local myocardial deformation, including torsion; it is, however, limited in the quantification of radial strain, which is a decisive metric for assessing the contractility of the heart. In order to improve SSFP-only and tagged-only approaches, we propose to combine the advantages of both image types by fusing global shape motion obtained from SSFP images with the local deformation obtained from tagged images. To this end, tracking is first performed on SSFP images, and subsequently, the resulting motion is utilized to mask and track tagged data. Our implementation is based on a recent finite element-based motion tracking tool with mechanical regularization. Joint SSFP and tagged images registration performance is assessed based on deformation metrics including LV strain and twist using human and in-house porcine datasets. Results show that joint analysis of SSFP and 3DTAG images provides better quantification of LV strain and twist as either data source alone.
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Affiliation(s)
- Ezgi Berberoğlu
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland; Laboratoire de Mécanique des Solides (LMS), École Polytechnique/C.N.R.S./Institut Polytechnique de Paris, Palaiseau, France; MΞDISIM team, Inria, Palaiseau, France
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Martin Genet
- Laboratoire de Mécanique des Solides (LMS), École Polytechnique/C.N.R.S./Institut Polytechnique de Paris, Palaiseau, France; MΞDISIM team, Inria, Palaiseau, France.
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5
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Mella H, Wang H, Montalba C, Uribe S. An off-resonance insensitive orthogonal CSPAMM sequence (ORI-O-CSPAMM) for the acquisition of CSPAMM and MICSR grids in half scan time. Magn Reson Med 2021; 86:3022-3033. [PMID: 34254351 DOI: 10.1002/mrm.28916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/25/2021] [Accepted: 06/15/2021] [Indexed: 11/08/2022]
Abstract
PURPOSE To develop an Off-Resonance Insensitive Orthogonal CSPAMM sequence (ORI-O-CSPAMM) for the acquisition of CSPAMM and MICSR grids in half of the acquisition time. METHODS Phantom and mid-level left ventricle short-axis tagged images were acquired using CSPAMM, ORI-CSPAMM, O-CSPAMM, and the proposed ORI-O-CPAMM sequences to interrogate and compare its behavior under off-resonance effects produced by vegetable oil and subcutaneous and epicardial fat. The images were compared in terms of signal and the capacity to obtain complex difference and MICSR images. RESULTS Like ORI-CSPAMM, the proposed ORI-O-CSPAMM sequence removed almost completely the off-resonance artifacts produced during the tagging preparation. Tagging grids without DC components were obtained with ORI-O-CSPAMM using complex difference and MICSR from only two complementary images, which reduced the scan time to a half compared to CSPAMM and ORI-CSPAMM. The removal of off-resonance effects and the capacity to obtain MICSR images are advantages of ORI-O-CSPAMM over the O-CSPAMM sequence. CONCLUSION We developed a novel and fast tagging sequence designed to remove off-resonance effects during the tagging preparation, and to obtain complex difference and MICSR grids in half of the scan time compared to CSPAMM and ORI-CSPAMM sequences, which could allow its application to clinical protocols.
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Affiliation(s)
- Hernán Mella
- Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile.,Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile.,ANID - Millennium Science Initiative Program - Millennium Nucleus in Cardiovascular Magnetic Resonance, Santiago, Región Metropolitana, Chile
| | - Hui Wang
- MR Clinical Science, Philips, Cincinnati, Ohio, USA.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Cristian Montalba
- Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile.,ANID - Millennium Science Initiative Program - Millennium Nucleus in Cardiovascular Magnetic Resonance, Santiago, Región Metropolitana, Chile
| | - Sergio Uribe
- Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile.,ANID - Millennium Science Initiative Program - Millennium Nucleus in Cardiovascular Magnetic Resonance, Santiago, Región Metropolitana, Chile.,Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile
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6
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Carruth ED, Fielden SW, Nevius CD, Fornwalt BK, Haggerty CM. 3D-Encoded DENSE MRI with Zonal Excitation for Quantifying Biventricular Myocardial Strain During a Breath-Hold. Cardiovasc Eng Technol 2021; 12:589-597. [PMID: 34244904 DOI: 10.1007/s13239-021-00561-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 06/25/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE Right ventricular (RV) function is increasingly recognized for its prognostic value in many disease states. As with the left ventricle (LV), strain-based measurements may have better prognostic value than typical chamber volumes or ejection fraction. Complete functional characterization of the RV requires high-resolution, 3D displacement tracking methods, which have been prohibitively challenging to implement. Zonal excitation during Displacement ENcoding with Stimulated Echoes (DENSE) magnetic resonance imaging (MRI) has helped reduce scan time for 2D LV strain quantification. We hypothesized that zonal excitation could alternatively be used to reproducibly acquire higher resolution, 3D-encoded DENSE images for quantification of bi-ventricular strain within a single breath-hold. METHODS We modified sequence parameters for a 3D zonal excitation DENSE sequence to achieve in-plane resolution < 2 mm and acquired two sets of images in eight healthy adult male volunteers with median (IQR) age 32.5 (32.0-33.8) years. We assessed the inter-test reproducibility of this technique, and compared computed strains and torsion with previously published data. RESULTS Data for one subject was excluded based on image artifacts. Reproducibility for LV (CoV: 6.1-9.0%) and RV normal strains (CoV: 6.3-8.2%) and LV torsion (CoV = 7.1%) were all very good. Reproducibility of RV torsion was lower (CoV = 16.7%), but still within acceptable limits. Computed global strains and torsion were within reasonable agreement with published data, but further studies in larger cohorts are needed to confirm. CONCLUSION Reproducible acquisition of 3D-encoded biventricular myocardial strain data in a breath-hold is feasible using DENSE with zonal excitation.
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Affiliation(s)
- Eric D Carruth
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA
| | - Samuel W Fielden
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA.,Medical and Health Physics, Geisinger, Danville, PA, USA
| | - Christopher D Nevius
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA
| | - Brandon K Fornwalt
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA.,The Heart Institute, Geisinger, Danville, PA, USA.,Department of Radiology, Geisinger, Danville, PA, USA
| | - Christopher M Haggerty
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA. .,The Heart Institute, Geisinger, Danville, PA, USA.
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Mella H, Mura J, Sotelo J, Uribe S. A comprehensive comparison between shortest-path HARP refinement, SinMod, and DENSEanalysis processing tools applied to CSPAMM and DENSE images. Magn Reson Imaging 2021; 83:14-26. [PMID: 34242693 DOI: 10.1016/j.mri.2021.07.001] [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: 11/23/2020] [Revised: 03/26/2021] [Accepted: 07/03/2021] [Indexed: 10/20/2022]
Abstract
We addressed comprehensively the performance of Shortest-Path HARP Refinement (SP-HR), SinMod, and DENSEanalysis using 2D slices of synthetic CSPAMM and DENSE images with realistic contrasts obtained from 3D phantoms. The three motion estimation techniques were interrogated under ideal and no-ideal conditions (with MR induced artifacts, noise, and through-plane motion), considering several resolutions and noise levels. Under noisy conditions, and for isotropic pixel sizes of 1.5 mm and 3.0 mm in CSPAMM and DENSE images respectively, the nRMSE obtained for the circumferential and radial strain components were 10.7 ± 10.8% and 25.5 ± 14.8% using SP-HR, 11.9 ± 2.5% and 29.3 ± 6.5% using SinMod, and 6.4 ± 2.0% and 18.2 ± 4.6% using DENSEanalysis. Overall, the results showed that SP-HR tends to fail for large tissue motions, whereas SinMod and DENSEanalysis gave accurate displacement and strain field estimations, being the last which performed the best.
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Affiliation(s)
- Hernán Mella
- Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; Biomedical Imaging Centre, Pontificia Universidad Católica de Chile, Santiago, Chile; Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile.
| | - Joaquín Mura
- Department of Mechanical Engineering, Universidad Técnica Federico Santa María, Santiago, Chile; Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile.
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile; Biomedical Imaging Centre, Pontificia Universidad Católica de Chile, Santiago, Chile; Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile.
| | - Sergio Uribe
- Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Biomedical Imaging Centre, Pontificia Universidad Católica de Chile, Santiago, Chile; Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile.
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8
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Moulin K, Croisille P, Viallon M, Verzhbinsky IA, Perotti LE, Ennis DB. Myofiber strain in healthy humans using DENSE and cDTI. Magn Reson Med 2021; 86:277-292. [PMID: 33619807 DOI: 10.1002/mrm.28724] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/15/2020] [Accepted: 01/18/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE Myofiber strain, Eff , is a mechanistically relevant metric of cardiac cell shortening and is expected to be spatially uniform in healthy populations, making it a prime candidate for the evaluation of local cardiomyocyte contractility. In this study, a new, efficient pipeline was proposed to combine microstructural cDTI and functional DENSE data in order to estimate Eff in vivo. METHODS Thirty healthy volunteers were scanned with three long-axis (LA) and three short-axis (SA) DENSE slices using 2D displacement encoding and one SA slice of cDTI. The total acquisition time was 11 minutes ± 3 minutes across volunteers. The pipeline first generates 3D SA displacements from all DENSE slices which are then combined with cDTI data to generate a cine of myofiber orientations and compute Eff . The precision of the post-processing pipeline was assessed using a computational phantom study. Transmural myofiber strain was compared to circumferential strain, Ecc , in healthy volunteers using a Wilcoxon sign rank test. RESULTS In vivo, computed Eff was found uniform transmurally compared to Ecc (-0.14[-0.15, -0.12] vs -0.18 [-0.20, -0.16], P < .001, -0.14 [-0.16, -0.12] vs -0.16 [-0.17, -0.13], P < .001 and -0.14 [-0.16, -0.12] vs Ecc_C = -0.14 [-0.15, -0.11], P = .002, Eff_C vs Ecc_C in the endo, mid, and epi layers, respectively). CONCLUSION We demonstrate that it is possible to measure in vivo myofiber strain in a healthy human population in 10 minutes per subject. Myofiber strain was observed to be spatially uniform in healthy volunteers making it a potential biomarker for the evaluation of local cardiomyocyte contractility in assessing cardiovascular dysfunction.
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Affiliation(s)
- Kévin Moulin
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Pierre Croisille
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France.,Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France
| | - Magalie Viallon
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France.,Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France
| | - Ilya A Verzhbinsky
- Medical Scientist Training Program, University of California - San Diego, La Jolla, CA, USA
| | - Luigi E Perotti
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, USA
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA, USA
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9
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Verzhbinsky IA, Perotti LE, Moulin K, Cork TE, Loecher M, Ennis DB. Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:656-667. [PMID: 31398112 PMCID: PMC7325525 DOI: 10.1109/tmi.2019.2933813] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Changes in left ventricular (LV) aggregate cardiomyocyte orientation and deformation underlie cardiac function and dysfunction. As such, in vivo aggregate cardiomyocyte "myofiber" strain ( [Formula: see text]) has mechanistic significance, but currently there exists no established technique to measure in vivo [Formula: see text]. The objective of this work is to describe and validate a pipeline to compute in vivo [Formula: see text] from magnetic resonance imaging (MRI) data. Our pipeline integrates LV motion from multi-slice Displacement ENcoding with Stimulated Echoes (DENSE) MRI with in vivo LV microstructure from cardiac Diffusion Tensor Imaging (cDTI) data. The proposed pipeline is validated using an analytical deforming heart-like phantom. The phantom is used to evaluate 3D cardiac strains computed from a widely available, open-source DENSE Image Analysis Tool. Phantom evaluation showed that a DENSE MRI signal-to-noise ratio (SNR) ≥20 is required to compute [Formula: see text] with near-zero median strain bias and within a strain tolerance of 0.06. Circumferential and longitudinal strains are also accurately measured under the same SNR requirements, however, radial strain exhibits a median epicardial bias of -0.10 even in noise-free DENSE data. The validated framework is applied to experimental DENSE MRI and cDTI data acquired in eight ( N=8 ) healthy swine. The experimental study demonstrated that [Formula: see text] has decreased transmural variability compared to radial and circumferential strains. The spatial uniformity and mechanistic significance of in vivo [Formula: see text] make it a compelling candidate for characterization and early detection of cardiac dysfunction.
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Espe EKS, Aronsen JM, Nordén ES, Zhang L, Sjaastad I. Regional right ventricular function in rats: a novel magnetic resonance imaging method for measurement of right ventricular strain. Am J Physiol Heart Circ Physiol 2020; 318:H143-H153. [DOI: 10.1152/ajpheart.00357.2019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The function of the right ventricle (RV) is linked to clinical outcome in many cardiovascular diseases, but its role in experimental heart failure remains largely unexplored due to difficulties in measuring RV function in vivo. We aimed to advance RV imaging by establishing phase-contrast MRI (PC-MRI) as a robust method for measuring RV function in rodents. A total of 46 Wistar-Hannover rats with left ventricular (LV) myocardial infarction and 10 control rats (sham) were examined 6 wk after surgery. Using a 9.4-T preclinical MRI system, we utilized PC-MRI to measure strain/strain rate in the RV free wall under isoflurane anesthesia. Cine MRI was used to measure RV volumes. LV end-diastolic pressure (LVEDP) was measured and used to identify pulmonary congestion. The infarct rats were divided into two groups: those with signs of pulmonary congestion (PC), with LVEDP ≥ 15 mmHg ( n = 26) and those without signs of pulmonary congestion (NPC), with LVEDP < 15 mmHg ( n = 20). The NPC rats exhibited preserved RV strains/strain rates, whereas the PC rats exhibited reduced strains/strain rates (26–48% lower than sham). Of the strain parameters, longitudinal strain and strain rate exhibited the highest correlations to LVEDP and lung weight (rho = 0.65–0.72, P < 0.001). Basal longitudinal strain was most closely associated with signs of pulmonary congestion and indexes of RV remodeling. Longitudinal RV strain had higher area under the curve than ejection fraction for detecting subtle RV dysfunction (area under the curve = 0.85 vs. 0.67). In conclusion, we show for the first time that global and regional RV myocardial strain can be measured robustly in rodents. Reduced RV strain was closely associated with indexes of pulmonary congestion and molecular markers of RV remodeling. NEW & NOTEWORTHY Global and regional right ventricular myocardial strain can be measured with high reproducibility and low interobserver variability in rodents using tissue phase mapping MRI. Reduced right ventricular strain was associated with indexes of pulmonary congestion and molecular markers of right ventricular remodeling. Regional strain in the basal myocardium was considerably higher than in the apical myocardium.
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Affiliation(s)
- Emil K. S. Espe
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway
| | - Jan M. Aronsen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
- Bjørknes College, Oslo, Norway
| | - Einar S. Nordén
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway
- Bjørknes College, Oslo, Norway
| | - Lili Zhang
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway
| | - Ivar Sjaastad
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway
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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 PMCID: PMC6736687 DOI: 10.1016/j.jbiomech.2019.07.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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12
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Giusca S, Korosoglou G, Zieschang V, Stoiber L, Schnackenburg B, Stehning C, Gebker R, Pieske B, Schuster A, Backhaus S, Pieske-Kraigher E, Patel A, Kawaji K, Steen H, Lapinskas T, Kelle S. Reproducibility study on myocardial strain assessment using fast-SENC cardiac magnetic resonance imaging. Sci Rep 2018; 8:14100. [PMID: 30237411 PMCID: PMC6147889 DOI: 10.1038/s41598-018-32226-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 09/04/2018] [Indexed: 12/26/2022] Open
Abstract
Myocardial strain is a well validated parameter for estimating left ventricular (LV) performance. The aim of our study was to evaluate the inter-study as well as intra- and interobserver reproducibility of fast-SENC derived myocardial strain. Eighteen subjects (11 healthy individuals and 7 patients with heart failure) underwent a cardiac MRI examination including fast-SENC acquisition for evaluating left ventricular global longitudinal (GLS) and circumferential strain (GCS) as well as left ventricular ejection fraction (LVEF). The examination was repeated after 63 [range 49‒87] days and analyzed by two experienced observers. Ten datasets were repeatedly assessed after 1 month by the same observer to test intraobserver variability. The reproducibility was measured using the intraclass correlation coefficient (ICC) and Bland-Altman analysis. Patients with heart failure demonstrated reduced GLS and GCS compared to healthy controls (−15.7 ± 3.7 vs. −20.1 ± 1.4; p = 0.002 for GLS and −15.3 ± 3.7 vs. −21.4 ± 1.1; p = 0.001 for GCS). The test-retest analysis showed excellent ICC for LVEF (0.92), GLS (0.94) and GCS (0.95). GLS exhibited excellent ICC (0.99) in both intra- and interobserver variability analysis with very narrow limits of agreement (−0.6 to 0.5 for intraobserver and −1.3 to 0.96 for interobserver agreement). Similarly, GCS showed excellent ICC (0.99) in both variability analyses with narrow limits of agreement (−1.1 to 1.2 for intraobserver and −1.7 to 1.3 for interobserver agreement), whereas LVEF showed larger limits of agreement (−14.4 to 10.1). The analysis of fast-SENC derived myocardial strain using cardiac MRI provides a highly reproducible method for assessing LV functional performance.
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Affiliation(s)
- Sorin Giusca
- Department of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany
| | - Grigorios Korosoglou
- Department of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Lukas Stoiber
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | | | | | - Rolf Gebker
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, University Medical Center, Georg-August University, Göttingen, Germany.,Department of Cardiology, Royal North Shore Hospital, the Kolling Institute, Northern Clinical School, University of Sydney, Sydney, Australia
| | - Sören Backhaus
- Department of Cardiology and Pneumology, University Medical Center, Georg-August University, Göttingen, Germany
| | | | - Amit Patel
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Keigo Kawaji
- Department of Medicine, University of Chicago, Chicago, Illinois, USA.,Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Henning Steen
- Department of Internal Medicine/Cardiology, Marienkrankenhaus Hamburg, Hamburg, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.,DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany. .,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany. .,DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany.
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13
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Wehner GJ, Jing L, Haggerty CM, Suever JD, Chen J, Hamlet SM, Feindt JA, Dimitri Mojsejenko W, Fogel MA, Fornwalt BK. Comparison of left ventricular strains and torsion derived from feature tracking and DENSE CMR. J Cardiovasc Magn Reson 2018; 20:63. [PMID: 30208894 PMCID: PMC6136226 DOI: 10.1186/s12968-018-0485-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 08/20/2018] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) feature tracking is increasingly used to quantify cardiac mechanics from cine CMR imaging, although validation against reference standard techniques has been limited. Furthermore, studies have suggested that commonly-derived metrics, such as peak global strain (reported in 63% of feature tracking studies), can be quantified using contours from just two frames - end-diastole (ED) and end-systole (ES) - without requiring tracking software. We hypothesized that mechanics derived from feature tracking would not agree with those derived from a reference standard (displacement-encoding with stimulated echoes (DENSE) imaging), and that peak strain from feature tracking would agree with that derived using simple processing of only ED and ES contours. METHODS We retrospectively identified 88 participants with 186 pairs of DENSE and balanced steady state free precession (bSSFP) image slices acquired at the same locations across two institutions. Left ventricular (LV) strains, torsion, and dyssynchrony were quantified from both feature tracking (TomTec Imaging Systems, Circle Cardiovascular Imaging) and DENSE. Contour-based strains from bSSFP images were derived from ED and ES contours. Agreement was assessed with Bland-Altman analyses and coefficients of variation (CoV). All biases are reported in absolute percentage. RESULTS Comparison results were similar for both vendor packages (TomTec and Circle), and thus only TomTec Imaging System data are reported in the abstract for simplicity. Compared to DENSE, mid-ventricular circumferential strain (Ecc) from feature tracking had acceptable agreement (bias: - 0.4%, p = 0.36, CoV: 11%). However, feature tracking significantly overestimated the magnitude of Ecc at the base (bias: - 4.0% absolute, p < 0.001, CoV: 18%) and apex (bias: - 2.4% absolute, p = 0.01, CoV: 15%), underestimated torsion (bias: - 1.4 deg/cm, p < 0.001, CoV: 41%), and overestimated dyssynchrony (bias: 26 ms, p < 0.001, CoV: 76%). Longitudinal strain (Ell) had borderline-acceptable agreement (bias: - 0.2%, p = 0.77, CoV: 19%). Contour-based strains had excellent agreement with feature tracking (biases: - 1.3-0.2%, CoVs: 3-7%). CONCLUSION Compared to DENSE as a reference standard, feature tracking was inaccurate for quantification of apical and basal LV circumferential strains, longitudinal strain, torsion, and dyssynchrony. Feature tracking was only accurate for quantification of mid LV circumferential strain. Moreover, feature tracking is unnecessary for quantification of whole-slice strains (e.g. base, apex), since simplified processing of only ED and ES contours yields very similar results to those derived from feature tracking. Current feature tracking technology therefore has limited utility for quantification of cardiac mechanics.
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Affiliation(s)
- Gregory J. Wehner
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | - Linyuan Jing
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
| | - Christopher M. Haggerty
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
| | - Jonathan D. Suever
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
| | - Jing Chen
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
| | - Sean M. Hamlet
- Department of Electrical Engineering, University of Kentucky, Lexington, KY USA
| | - Jared A. Feindt
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
| | | | - Mark A. Fogel
- Division of Cardiology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Brandon K. Fornwalt
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
- Department of Imaging Science and Innovation, Geisinger, 100 North Academy Avenue, Danville, PA 17822-4400 USA
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
- Department of Electrical Engineering, University of Kentucky, Lexington, KY USA
- Department of Radiology, Geisinger, Danville, PA USA
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14
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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: 0.1] [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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15
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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: 11] [Impact Index Per Article: 1.6] [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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16
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Cardiovascular magnetic resonance feature tracking in small animals - a preliminary study on reproducibility and sample size calculation. BMC Med Imaging 2017; 17:51. [PMID: 28835220 PMCID: PMC5569535 DOI: 10.1186/s12880-017-0223-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Accepted: 08/17/2017] [Indexed: 11/10/2022] Open
Abstract
Background Cardiovascular magnetic resonance feature tracking (CMR-FT) is a novel tissue tracking technique developed for noninvasive assessment of myocardial motion and deformation. This preliminary study aimed to evaluate the observer’s reproducibility of CMR-FT in a small animal (mouse) model and define sample size calculation for future trials. Methods Six C57BL/6 J mice were selected from the ongoing experimental mouse model onsite and underwent CMR with a 3 Tesla small animal MRI scanner. Myocardial deformation was analyzed using dedicated software (TomTec, Germany) by two observers. Left ventricular (LV) longitudinal, circumferential and radial strain (EllLAX, EccSAX and ErrSAX) were calculated. To assess intra-observer agreement data analysis was repeated after 4 weeks. The sample size required to detect a relative change in strain was calculated. Results In general, EccSAX and EllLAX demonstrated highest inter-observer reproducibility (ICC 0.79 (0.46–0.91) and 0.73 (0.56–0.83) EccSAX and EllLAX respectively). In contrast, at the intra-observer level EllLAX was more reproducible than EccSAX (ICC 0.83 (0.73–0.90) and 0.74 (0.49–0.87) EllLAX and EccSAX respectively). The reproducibility of ErrSAX was weak at both observer levels. Preliminary sample size calculation showed that a small study sample (e.g. ten animals to detect a relative 10% change in EccSAX) could be sufficient to detect changes if parameter variability is low. Conclusions This pilot study demonstrates good to excellent inter- and intra-observer reproducibility of CMR-FT technique in small animal model. The most reproducible measures are global circumferential and global longitudinal strain, whereas reproducibility of radial strain is weak. Furthermore, sample size calculation demonstrates that a small number of animals could be sufficient for future trials.
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17
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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: 0.9] [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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Jing L, Pulenthiran A, Nevius CD, Mejia-Spiegeler A, Suever JD, Wehner GJ, Kirchner HL, Haggerty CM, Fornwalt BK. Impaired right ventricular contractile function in childhood obesity and its association with right and left ventricular changes: a cine DENSE cardiac magnetic resonance study. J Cardiovasc Magn Reson 2017; 19:49. [PMID: 28659144 PMCID: PMC5490166 DOI: 10.1186/s12968-017-0363-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 05/17/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Pediatric obesity is a growing public health problem, which is associated with increased risk of cardiovascular disease and premature death. Left ventricular (LV) remodeling (increased myocardial mass and thickness) and contractile dysfunction (impaired longitudinal strain) have been documented in obese children, but little attention has been paid to the right ventricle (RV). We hypothesized that obese/overweight children would have evidence of RV remodeling and contractile dysfunction. METHODS One hundred and three children, ages 8-18 years, were prospectively recruited and underwent cardiovascular magnetic resonance (CMR), including both standard cine imaging and displacement encoding with stimulated echoes (DENSE) imaging, which allowed for quantification of RV geometry and function/mechanics. RV free wall longitudinal strain was quantified from the end-systolic four-chamber DENSE image. Linear regression was used to quantify correlations of RV strain with LV strain and measurements of body composition (adjusted for sex and height). Analysis of variance was used to study the relationship between RV strain and LV remodeling types (concentric remodeling, eccentric/concentric hypertrophy). RESULTS The RV was sufficiently visualized with DENSE in 70 (68%) subjects, comprising 36 healthy weight (13.6 ± 2.7 years) and 34 (12.1 ± 2.9 years) obese/overweight children. Obese/overweight children had a 22% larger RV mass index (8.2 ± 0.9 vs 6.7 ± 1.1 g/m2.7, p < 0.001) compared to healthy controls. RV free wall longitudinal strain was impaired in obese/overweight children (-16 ± 4% vs -19 ± 5%, p = 0.02). Ten (14%) out of 70 children had LV concentric hypertrophy, and these children had the most impaired RV longitudinal strain compared to those with normal LV geometry (-13 ± 4% vs -19 ± 5%, p = 0.002). RV longitudinal strain was correlated with LV longitudinal strain (r = 0.34, p = 0.004), systolic blood pressure (r = 0.33, p = 0.006), as well as BMI z-score (r = 0.28, p = 0.02), waist (r = 0.31, p = 0.01), hip (r = 0.40, p = 0.004) and abdominal (r = 0.38, p = 0.002) circumference, height and sex adjusted. CONCLUSIONS Obese/overweight children have evidence of RV remodeling (increased RV mass) and RV contractile dysfunction (impaired free wall longitudinal strain). Moreover, RV longitudinal strain correlates with LV longitudinal strain, and children with LV concentric hypertrophy show the most impaired RV function. These results suggest there may be a common mechanism underlying both remodeling and dysfunction of the left and right ventricles in obese/overweight children.
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MESH Headings
- Adolescent
- Child
- Female
- Humans
- Hypertrophy, Left Ventricular/diagnostic imaging
- Hypertrophy, Left Ventricular/etiology
- Hypertrophy, Left Ventricular/physiopathology
- Image Interpretation, Computer-Assisted
- Kentucky
- Linear Models
- Magnetic Resonance Imaging, Cine
- Male
- Myocardial Contraction
- Observer Variation
- Pediatric Obesity/complications
- Pediatric Obesity/diagnosis
- Pediatric Obesity/physiopathology
- Pennsylvania
- Predictive Value of Tests
- Prospective Studies
- Reproducibility of Results
- Ventricular Dysfunction, Left/diagnostic imaging
- Ventricular Dysfunction, Left/etiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Dysfunction, Right/diagnostic imaging
- Ventricular Dysfunction, Right/etiology
- Ventricular Dysfunction, Right/physiopathology
- Ventricular Function, Left
- Ventricular Function, Right
- Ventricular Remodeling
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Affiliation(s)
- Linyuan Jing
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Arichanah Pulenthiran
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Christopher D. Nevius
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Abba Mejia-Spiegeler
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Jonathan D. Suever
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Gregory J. Wehner
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | - H. Lester Kirchner
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Christopher M. Haggerty
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Brandon K. Fornwalt
- Department of Imaging Science and Innovation, Geisinger Health System, 100 North Academy Avenue, Danville, 17822-4400 PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
- Department of Radiology, Geisinger Health System, Danville, PA USA
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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: 1.9] [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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Hamlet SM, Haggerty CM, Suever JD, Wehner GJ, Andres KN, Powell DK, Charnigo RJ, Fornwalt BK. Using a respiratory navigator significantly reduces variability when quantifying left ventricular torsion with cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2017; 19:25. [PMID: 28245864 PMCID: PMC5331707 DOI: 10.1186/s12968-017-0338-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 02/08/2017] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Left ventricular (LV) torsion is an important indicator of cardiac function that is limited by high inter-test variability (50% of the mean value). We hypothesized that this high inter-test variability is partly due to inconsistent breath-hold positions during serial image acquisitions, which could be significantly improved by using a respiratory navigator for cardiovascular magnetic resonance (CMR) based quantification of LV torsion. METHODS We assessed respiratory-related variability in measured LV torsion with two distinct experimental protocols. First, 17 volunteers were recruited for CMR with cine displacement encoding with stimulated echoes (DENSE) in which a respiratory navigator was used to measure and then enforce variability in end-expiratory position between all LV basal and apical acquisitions. From these data, we quantified the inter-test variability of torsion in the absence and presence of enforced end-expiratory position variability, which established an upper bound for the expected torsion variability. For the second experiment (in 20 new, healthy volunteers), 10 pairs of cine DENSE basal and apical images were each acquired from consecutive breath-holds and consecutive navigator-gated scans (with a single acceptance position). Inter-test variability of torsion was compared between the breath-hold and navigator-gated scans to quantify the variability due to natural breath-hold variation. To demonstrate the importance of these variability reductions, we quantified the reduction in sample size required to detect a clinically meaningful change in LV torsion with the use of a respiratory navigator. RESULTS The mean torsion was 3.4 ± 0.2°/cm. From the first experiment, enforced variability in end-expiratory position translated to considerable variability in measured torsion (0.56 ± 0.34°/cm), whereas inter-test variability with consistent end-expiratory position was 57% lower (0.24 ± 0.16°/cm, p < 0.001). From the second experiment, natural respiratory variability from consecutive breath-holds translated to a variability in torsion of 0.24 ± 0.10°/cm, which was significantly higher than the variability from navigator-gated scans (0.18 ± 0.06°/cm, p = 0.02). By using a respiratory navigator with DENSE, theoretical sample sizes were reduced from 66 to 16 and 26 to 15 as calculated from the two experiments. CONCLUSIONS A substantial portion (22-57%) of the inter-test variability of LV torsion can be reduced by using a respiratory navigator to ensure a consistent breath-hold position between image acquisitions.
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Affiliation(s)
- Sean M. Hamlet
- Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY USA
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
| | - Christopher M. Haggerty
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
- Department of Imaging Science and Innovation, Geisinger Health System, Danville, PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Jonathan D. Suever
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
- Department of Imaging Science and Innovation, Geisinger Health System, Danville, PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
| | - Gregory J. Wehner
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | | | - David K. Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | - Richard J. Charnigo
- Departments of Biostatistics and Statistics, University of Kentucky, Lexington, KY USA
| | - Brandon K. Fornwalt
- Department of Pediatrics, University of Kentucky, Lexington, KY USA
- Department of Imaging Science and Innovation, Geisinger Health System, Danville, PA USA
- Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
- Departments of Physiology and Medicine, University of Kentucky, Lexington, KY USA
- Department of Radiology, Geisinger Health System, 100 North Academy Avenue, Danville, PA 17822-4400 USA
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21
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Epstein FH, Vandsburger M. Illuminating the Path Forward in Cardiac Regeneration Using Strain Magnetic Resonance Imaging. Circ Cardiovasc Imaging 2016; 9:CIRCIMAGING.116.005687. [PMID: 27903545 DOI: 10.1161/circimaging.116.005687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Frederick H Epstein
- From the Departments of Biomedical Engineering and Radiology and the Cardiovascular Research Center, University of Virginia, Charlottesville (F.H.E.); and Departments of Physiology and Biomedical Engineering and the Saha Cardiovascular Research Center, University of Kentucky, Lexington (M.V.).
| | - Moriel Vandsburger
- From the Departments of Biomedical Engineering and Radiology and the Cardiovascular Research Center, University of Virginia, Charlottesville (F.H.E.); and Departments of Physiology and Biomedical Engineering and the Saha Cardiovascular Research Center, University of Kentucky, Lexington (M.V.)
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Lin K, Meng L, Collins JD, Chowdhary V, Markl M, Carr JC. Reproducibility of cine displacement encoding with stimulated echoes (DENSE) in human subjects. Magn Reson Imaging 2016; 35:148-153. [PMID: 27569367 DOI: 10.1016/j.mri.2016.08.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 07/27/2016] [Accepted: 08/20/2016] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To test the hypothesis that two-dimensional (2D) displacement encoding via stimulated echoes (DENSE) is a reproducible technique for the depiction of segmental myocardial motion in human subjects. MATERIALS AND METHODS Following the approval of the institutional review board (IRB), 17 healthy volunteers without documented history of cardiovascular disease were recruited. For each participant, 2D DENSE were performed twice (at different days) and the images were obtained at basal, midventricular and apical levels of the left ventricle (LV) with a short-axis view. The radial thickening strain (Err), circumferential strain (Ecc), twist and torsion were calculated. The intra-, inter-observer and inter-study variations of DENSE-derived myocardial motion indices were evaluated using coefficient of variation (CoV) and intra-class correlation coefficient (ICC). RESULTS In total, there are 272 pairs of myocardial segments (data points) for comparison. There is good intra- and inter-observer reproducibility for all DENSE-derived measures in 17 participants. There is good inter-study reproducibility for peak Ecc (CoV=19.64%, ICC=0.8896, p<0.001), twist (CoV=33.11%, ICC=0.9135, p<0.001) and torsion (CoV=13.96%, ICC=0.8684, p<0.001). There is moderate inter-study reproducibility for Err (CoV=38.89%, ICC=0.7022, p<0.001). CONCLUSION DENSE is a reproducible technique for characterizing LV regional systolic myocardial motion on a per-segment basis in healthy volunteers.
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Affiliation(s)
- Kai Lin
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611
| | - Leng Meng
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Jeremy D Collins
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611
| | - Varun Chowdhary
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611
| | - Michael Markl
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611
| | - James C Carr
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611
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23
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Hamlet SM, Haggerty CM, Suever JD, Wehner GJ, Andres KN, Powell DK, Zhong X, Fornwalt BK. Optimal configuration of respiratory navigator gating for the quantification of left ventricular strain using spiral cine displacement encoding with stimulated echoes (DENSE) MRI. J Magn Reson Imaging 2016; 45:786-794. [PMID: 27458823 DOI: 10.1002/jmri.25389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 06/29/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To determine the optimal respiratory navigator gating configuration for the quantification of left ventricular strain using spiral cine displacement encoding with stimulated echoes (DENSE) MRI. MATERIALS AND METHODS Two-dimensional spiral cine DENSE was performed on a 3 Tesla MRI using two single-navigator configurations (retrospective, prospective) and a combined "dual-navigator" configuration in 10 healthy adults and 20 healthy children. The adults also underwent breathhold DENSE as a reference standard for comparisons. Peak left ventricular strains, signal-to-noise ratio (SNR), and navigator efficiency were compared. Subjects also underwent dual-navigator gating with and without visual feedback to determine the effect on navigator efficiency. RESULTS There were no differences in circumferential, radial, and longitudinal strains between navigator-gated and breathhold DENSE (P = 0.09-0.95) (as confidence intervals, retrospective: [-1.0%-1.1%], [-7.4%-2.0%], [-1.0%-1.2%]; prospective: [-0.6%-2.7%], [-2.8%-8.3%], [-0.3%-2.9%]; dual: [-1.6%-0.5%], [-8.3%-3.2%], [-0.8%-1.9%], respectively). The dual configuration maintained SNR compared with breathhold acquisitions (16 versus 18, P = 0.06). SNR for the prospective configuration was lower than for the dual navigator in adults (P = 0.004) and children (P < 0.001). Navigator efficiency was higher (P < 0.001) for both retrospective (54%) and prospective (56%) configurations compared with the dual configuration (35%). Visual feedback improved the dual configuration navigator efficiency to 55% (P < 0.001). CONCLUSION When quantifying left ventricular strains using spiral cine DENSE MRI, a dual navigator configuration results in the highest SNR in adults and children. In adults, a retrospective configuration has good navigator efficiency without a substantial drop in SNR. Prospective gating should be avoided because it has the lowest SNR. Visual feedback represents an effective option to maintain navigator efficiency while using a dual navigator configuration. LEVEL OF EVIDENCE 2 J. Magn. Reson. Imaging 2017;45:786-794.
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Affiliation(s)
- Sean M Hamlet
- Department of Electrical and Computer Engineering, University of Kentucky, Lexington, Kentucky, USA.,Department of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - Christopher M Haggerty
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.,Institute for Advanced Application, Geisinger Health System, Danville, Pennsylvania, USA
| | - Jonathan D Suever
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.,Institute for Advanced Application, Geisinger Health System, Danville, Pennsylvania, USA
| | - Gregory J Wehner
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.,Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky, USA
| | - Kristin N Andres
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - David K Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky, USA
| | - Xiaodong Zhong
- MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, USA
| | - Brandon K Fornwalt
- Department of Pediatrics, University of Kentucky, Lexington, KY, USA.,Institute for Advanced Application, Geisinger Health System, Danville, Pennsylvania, USA.,Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky, USA.,Department of Physiology, University of Kentucky, Lexington, Kentucky, USA.,Department of Medicine, University of Kentucky, Lexington, Kentucky, USA
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24
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Jing L, Binkley CM, Suever JD, Umasankar N, Haggerty CM, Rich J, Wehner GJ, Hamlet SM, Powell DK, Radulescu A, Kirchner HL, Epstein FH, Fornwalt BK. Cardiac remodeling and dysfunction in childhood obesity: a cardiovascular magnetic resonance study. J Cardiovasc Magn Reson 2016; 18:28. [PMID: 27165194 PMCID: PMC4863365 DOI: 10.1186/s12968-016-0247-0] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 04/21/2016] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Obesity affects nearly one in five children and is associated with increased risk of premature death. Obesity-related heart disease contributes to premature death. We aimed to use cardiovascular magnetic resonance (CMR) to comprehensively characterize the changes in cardiac geometry and function in obese children. METHODS AND RESULTS Forty-one obese/overweight (age 12 ± 3 years, 56 % female) and 29 healthy weight children (age 14 ± 3 years, 41 % female) underwent CMR, including both standard cine imaging and displacement encoded imaging, for a complete assessment of left ventricular (LV) structure and function. After adjusting for age, LV mass index was 23 % greater (27 ± 4 g/m(2.7) vs 22 ± 3 g/m(2.7), p <0.001) and the LV myocardium was 10 % thicker (5.6 ± 0.8 mm vs 5.1 ± 0.8 mm, p <0.001) in the obese/overweight children. This evidence of cardiac remodeling was present in obese children as young as age 8. Twenty four percent of obese/overweight children had concentric hypertrophy, 59 % had normal geometry and 17 % had either eccentric hypertrophy or concentric remodeling. LV mass index, thickness, ejection fraction and peak longitudinal and circumferential strains all correlated with epicardial adipose tissue after adjusting for height and gender (all p <0.05). Peak longitudinal and circumferential strains showed a significant relationship with the type of LV remodeling, and were most impaired in children with concentric hypertrophy (p <0.001 and p = 0.003, respectively). CONCLUSIONS Obese children show evidence of significant cardiac remodeling and dysfunction, which begins as young as age 8. Obese children with concentric hypertrophy and impaired strain may represent a particularly high risk subgroup that demands further investigation.
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Affiliation(s)
- Linyuan Jing
- Departments of Pediatrics, University of Kentucky, Lexington, KY, USA
- Institute for Advanced Application, Geisinger Health System, 100 North Academy Avenue, Danville Pennsylvania, PA, 17822-4400, USA
| | - Cassi M Binkley
- Department of Physiology and Medicine, University of Kentucky, Lexington, KY, USA
- Institute for Advanced Application, Geisinger Health System, 100 North Academy Avenue, Danville Pennsylvania, PA, 17822-4400, USA
| | - Jonathan D Suever
- Departments of Pediatrics, University of Kentucky, Lexington, KY, USA
- Institute for Advanced Application, Geisinger Health System, 100 North Academy Avenue, Danville Pennsylvania, PA, 17822-4400, USA
| | - Nivedita Umasankar
- Department of Physiology and Medicine, University of Kentucky, Lexington, KY, USA
| | - Christopher M Haggerty
- Departments of Pediatrics, University of Kentucky, Lexington, KY, USA
- Institute for Advanced Application, Geisinger Health System, 100 North Academy Avenue, Danville Pennsylvania, PA, 17822-4400, USA
| | - Jennifer Rich
- Center for Health Research, Geisinger Health System, Danville Pennsylvania, PA, USA
| | - Gregory J Wehner
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Sean M Hamlet
- Department of Electrical Engineering, University of Kentucky, Lexington, KY, USA
| | - David K Powell
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Aurelia Radulescu
- Departments of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - H Lester Kirchner
- Center for Health Research, Geisinger Health System, Danville Pennsylvania, PA, USA
| | - Frederick H Epstein
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
| | - Brandon K Fornwalt
- Departments of Pediatrics, University of Kentucky, Lexington, KY, USA.
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
- Department of Physiology and Medicine, University of Kentucky, Lexington, KY, USA.
- Department of Electrical Engineering, University of Kentucky, Lexington, KY, USA.
- Institute for Advanced Application, Geisinger Health System, 100 North Academy Avenue, Danville Pennsylvania, PA, 17822-4400, USA.
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25
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Pennell DJ, Baksi AJ, Prasad SK, Raphael CE, Kilner PJ, Mohiaddin RH, Alpendurada F, Babu-Narayan SV, Schneider J, Firmin DN. Review of Journal of Cardiovascular Magnetic Resonance 2014. J Cardiovasc Magn Reson 2015; 17:99. [PMID: 26589839 PMCID: PMC4654908 DOI: 10.1186/s12968-015-0203-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 11/08/2015] [Indexed: 01/19/2023] Open
Abstract
There were 102 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2014, which is a 6% decrease on the 109 articles published in 2013. The quality of the submissions continues to increase. The 2013 JCMR Impact Factor (which is published in June 2014) fell to 4.72 from 5.11 for 2012 (as published in June 2013). The 2013 impact factor means that the JCMR papers that were published in 2011 and 2012 were cited on average 4.72 times in 2013. 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 <25% and has been falling because 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 papers to JCMR for publication.
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Affiliation(s)
- D J Pennell
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - A J Baksi
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - S K Prasad
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - C E Raphael
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - P J Kilner
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - R H Mohiaddin
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - F Alpendurada
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - S V Babu-Narayan
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - J Schneider
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - D N Firmin
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
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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: 11] [Impact Index Per Article: 1.1] [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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27
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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: 0.9] [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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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: 2.2] [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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Pennell DJ, Baksi AJ, Kilner PJ, Mohiaddin RH, Prasad SK, Alpendurada F, Babu-Narayan SV, Neubauer S, Firmin DN. Review of Journal of Cardiovascular Magnetic Resonance 2013. J Cardiovasc Magn Reson 2014; 16:100. [PMID: 25475898 PMCID: PMC4256918 DOI: 10.1186/s12968-014-0100-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 11/21/2014] [Indexed: 01/19/2023] Open
Abstract
There were 109 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2013, which is a 21% increase on the 90 articles published in 2012. The quality of the submissions continues to increase. The editors are delighted to report that the 2012 JCMR Impact Factor (which is published in June 2013) has risen to 5.11, up from 4.44 for 2011 (as published in June 2012), a 15% increase and taking us through the 5 threshold for the first time. The 2012 impact factor means that the JCMR papers that were published in 2010 and 2011 were cited on average 5.11 times in 2012. 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 <25% and has been falling because 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 John Pennell
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Arun John Baksi
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Philip John Kilner
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Raad Hashem Mohiaddin
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Sanjay Kumar Prasad
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Francisco Alpendurada
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Sonya Vidya Babu-Narayan
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | | | - David Nigel Firmin
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
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Suever JD, Wehner GJ, Haggerty CM, Jing L, Hamlet SM, Binkley CM, Kramer SP, Mattingly AC, Powell DK, Bilchick KC, Epstein FH, Fornwalt BK. Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics. J Cardiovasc Magn Reson 2014; 16:94. [PMID: 25430079 PMCID: PMC4246464 DOI: 10.1186/s12968-014-0094-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 11/14/2014] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance using displacement encoding with stimulated echoes (DENSE) is capable of assessing advanced measures of cardiac mechanics such as strain and torsion. A potential hurdle to widespread clinical adoption of DENSE is the time required to manually segment the myocardium during post-processing of the images. To overcome this hurdle, we proposed a radical approach in which only three contours per image slice are required for post-processing (instead of the typical 30-40 contours per image slice). We hypothesized that peak left ventricular circumferential, longitudinal and radial strains and torsion could be accurately quantified using this simplified analysis. METHODS AND RESULTS We tested our hypothesis on a large multi-institutional dataset consisting of 541 DENSE image slices from 135 mice and 234 DENSE image slices from 62 humans. We compared measures of cardiac mechanics derived from the simplified post-processing to those derived from original post-processing utilizing the full set of 30-40 manually-defined contours per image slice. Accuracy was assessed with Bland-Altman limits of agreement and summarized with a modified coefficient of variation. The simplified technique showed high accuracy with all coefficients of variation less than 10% in humans and 6% in mice. The accuracy of the simplified technique was also superior to two previously published semi-automated analysis techniques for DENSE post-processing. CONCLUSIONS Accurate measures of cardiac mechanics can be derived from DENSE cardiac magnetic resonance in both humans and mice using a simplified technique to reduce post-processing time by approximately 94%. These findings demonstrate that quantifying cardiac mechanics from DENSE data is simple enough to be integrated into the clinical workflow.
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Affiliation(s)
- Jonathan D Suever
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - Gregory J Wehner
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
- />Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | - Christopher M Haggerty
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - Linyuan Jing
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - Sean M Hamlet
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
- />Department of Electrical Engineering, University of Kentucky, Lexington, KY USA
| | - Cassi M Binkley
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - Sage P Kramer
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - Andrea C Mattingly
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
| | - David K Powell
- />Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
| | - Kenneth C Bilchick
- />Department of Medicine, University of Virginia, Charlottesville, VA USA
| | - Frederick H Epstein
- />Department of Biomedical Engineering, University of Virginia, Charlottesville, VA USA
| | - Brandon K Fornwalt
- />Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY USA
- />Department of Biomedical Engineering, University of Kentucky, Lexington, KY USA
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Kowallick JT, Lamata P, Hussain ST, Kutty S, Steinmetz M, Sohns JM, Fasshauer M, Staab W, Unterberg-Buchwald C, Bigalke B, Lotz J, Hasenfuß G, Schuster A. Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking. PLoS One 2014; 9:e109164. [PMID: 25285656 PMCID: PMC4186780 DOI: 10.1371/journal.pone.0109164] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 08/29/2014] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Cardiovascular magnetic resonance feature tracking (CMR-FT) offers quantification of myocardial deformation from routine cine images. However, data using CMR-FT to quantify left ventricular (LV) torsion and diastolic recoil are not yet available. We therefore sought to evaluate the feasibility and reproducibility of CMR-FT to quantify LV torsion and peak recoil rate using an optimal anatomical approach. METHODS Short-axis cine stacks were acquired at rest and during dobutamine stimulation (10 and 20 µg · kg(-1) · min(-1)) in 10 healthy volunteers. Rotational displacement was analysed for all slices. A complete 3D-LV rotational model was developed using linear interpolation between adjacent slices. Torsion was defined as the difference between apical and basal rotation, divided by slice distance. Depending on the distance between the most apical (defined as 0% LV distance) and basal (defined as 100% LV distance) slices, four different models for the calculation of torsion were examined: Model-1 (25-75%), Model-2 (0-100%), Model-3 (25-100%) and Model-4 (0-75%). Analysis included subendocardial, subepicardial and global torsion and recoil rate (mean of subendocardial and subepicardial values). RESULTS Quantification of torsion and recoil rate was feasible in all subjects. There was no significant difference between the different models at rest. However, only Model-1 (25-75%) discriminated between rest and stress (Global Torsion: 2.7 ± 1.5° cm(-1), 3.6 ± 2.0° cm(-1), 5.1 ± 2.2° cm(-1), p<0.01; Global Recoil Rate: -30.1 ± 11.1° cm(-1) s(-1),-46.9 ± 15.0° cm(-1) s(-1),-68.9 ± 32.3° cm(-1) s(-1), p<0.01; for rest, 10 and 20 µg · kg(-)1 · min(-1) of dobutamine, respectively). Reproducibility was sufficient for all parameters as determined by Bland-Altman analysis, intraclass correlation coefficients and coefficient of variation. CONCLUSIONS CMR-FT based derivation of myocardial torsion and recoil rate is feasible and reproducible at rest and with dobutamine stress. Using an optimal anatomical approach measuring rotation at 25% and 75% apical and basal LV locations allows effective quantification of torsion and recoil dynamics. Application of these new measures of deformation by CMR-FT should next be explored in disease states.
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Affiliation(s)
- Johannes T. Kowallick
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Pablo Lamata
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom
| | - Shazia T. Hussain
- Papworth Hospital NHS Trust, Papworth Everard, Cambridgeshire, United Kingdom
| | - Shelby Kutty
- Children's Hospital and Medical Center, University of Nebraska College of Medicine, Omaha, Nebraska, United States of America
| | - Michael Steinmetz
- Department of Pediatric Cardiology and Intensive Care Medicine, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Jan M. Sohns
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Martin Fasshauer
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Wieland Staab
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Christina Unterberg-Buchwald
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Boris Bigalke
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom
- Medizinische Klinik III, Kardiologie und Kreislauferkrankungen, Eberhard-Karls-Universität Tübingen, Tübingen, Germany
| | - Joachim Lotz
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
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