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Heart failure with preserved ejection fraction assessed by cardiac magnetic resonance: From clinical uses to emerging techniques. Trends Cardiovasc Med 2021; 33:141-147. [PMID: 34933114 DOI: 10.1016/j.tcm.2021.12.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/07/2021] [Accepted: 12/15/2021] [Indexed: 12/30/2022]
Abstract
Patients with heart failure with preserved ejection fraction (HFpEF) account for approximately 50% of those with heart failure (HF) and have increased morbidity and mortality when compared to those with HF with reduced ejection fraction. Currently, the pathophysiology and diagnostic criteria for HFpEF remain unclear, contributing significantly to delays in creating a beneficial and tailored treatment that can improve the prognosis of HFpEF. A multitude of studies have exclusively tested and illustrated the diagnostic value of echocardiography imaging in HFpEF; however, a widely-accepted criterion to identify HFpEF using cardiovascular magnetic resonance (CMR) imaging has not been established. As the gold standard for cardiac structural, functional measurement, and tissue characterization, CMR holds great potential for the early discovery of the pathophysiology, diagnosis, and risk stratification of HFpEF. This review aims to comprehensively discuss the diagnostic and prognostic role of CMR parameters in the setting of HFpEF through validated routine and prospective emerging techniques, and provide clinical perspectives for CMR imaging application in HFpEF.
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Ochs A, Riffel J, Ochs MM, Arenja N, Fritz T, Galuschky C, Schuster A, Bruder O, Mahrholdt H, Giannitsis E, Frey N, Katus HA, Buss SJ, André F. Myocardial mechanics in dilated cardiomyopathy: prognostic value of left ventricular torsion and strain. J Cardiovasc Magn Reson 2021; 23:136. [PMID: 34852822 PMCID: PMC8638178 DOI: 10.1186/s12968-021-00829-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/16/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Data on the prognostic value of left ventricular (LV) morphological and functional parameters including LV rotation in patients with dilated cardiomyopathy (DCM) using cardiovascular magnetic resonance (CMR) are currently scarce. In this study, we assessed the prognostic value of global longitudinal strain (GLS), global circumferential strain (GCS), global radial strain (GRS) and LV torsion using CMR feature tracking (FT). METHODS CMR was performed in 350 DCM patients and 70 healthy subjects across 5 different European CMR Centers. Myocardial strain parameters were retrospectively assessed from conventional balanced steady-state free precession cine images applying FT. A combined primary endpoint (cardiac death, heart transplantation, aborted sudden cardiac death) was defined for the assessment of clinical outcome. RESULTS GLS, GCS, GRS and LV torsion were significantly lower in DCM patients than in healthy subjects (all p < 0.001). The primary endpoint occurred in 59 (18.7%) patients [median follow-up 4.2 (2.0-5.6) years]. In the univariate analyses all strain parameters showed a significant prognostic value (p < 0.05). In the multivariate model, LV strain parameters, particularly GLS provided an incremental prognostic value compared to established CMR parameters like LV ejection fraction and late gadolinium enhancement. A scoring model including six categorical variables of standard CMR and strain parameters differentiated further risk subgroups. CONCLUSION LV strain assessed with CMR FT has a high prognostic value in patients with DCM, surpassing routine and dedicated functional parameters. Thus, CMR strain imaging may contribute to the improvement of risk stratification in DCM.
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Affiliation(s)
- Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Johannes Riffel
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Marco M. Ochs
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Nisha Arenja
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- Department of Cardiology, Solothurner Spitäler AG, Kantonsspital Olten, Olten, Switzerland
| | - Thomas Fritz
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | | | | | | | | | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Hugo A. Katus
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Sebastian J. Buss
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
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Weise Valdés E, Barth P, Piran M, Laser KT, Burchert W, Körperich H. Left-Ventricular Reference Myocardial Strain Assessed by Cardiovascular Magnetic Resonance Feature Tracking and fSENC-Impact of Temporal Resolution and Cardiac Muscle Mass. Front Cardiovasc Med 2021; 8:764496. [PMID: 34796219 PMCID: PMC8593240 DOI: 10.3389/fcvm.2021.764496] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/11/2021] [Indexed: 11/16/2022] Open
Abstract
Aims: Cardiac strain parameters are increasingly measured to overcome shortcomings of ejection fraction. For broad clinical use, this study provides reference values for the two strain assessment methods feature tracking (FT) and fast strain-encoded (fSENC) cardiovascular magnetic resonance (CMR) imaging, including the child/adolescent group and systematically evaluates the influence of temporal resolution and muscle mass on strain. Methods and Results: Global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain values in 181 participants (54% women, 11–70 years) without cardiac illness were assessed with FT (CVI42® software). GLS and GCS were also analyzed using fSENC (MyoStrain® software) in a subgroup of 84 participants (60% women). Fourteen patients suffering hypertrophic cardiomyopathy (HCM) were examined with both techniques. CMR examinations were done on a 3.0T MR-system. FT-GLS, FT-GCS, and FT-GRS were −16.9 ± 1.8%, −19.2 ± 2.1% and 34.2 ± 6.1%. fSENC-GLS was higher at −20.3 ± 1.8% (p < 0.001). fSENC-GCS was comparable at−19.7 ± 1.8% (p = 0.06). All values were lower in men (p < 0.001). Cardiac muscle mass correlated (p < 0.001) with FT-GLS (r = 0.433), FT-GCS (r = 0.483) as well as FT-GRS (r = −0.464) and acts as partial mediator for sex differences. FT-GCS, FT-GRS and fSENC-GLS correlated weakly with age. FT strain values were significantly lower at lower cine temporal resolutions, represented by heart rates (r = −0.301, −0.379, 0.385) and 28 or 45 cardiac phases per cardiac cycle (0.3–1.9% differences). All values were lower in HCM patients than in matched controls (p < 0.01). Cut-off values were −15.0% (FT-GLS), −19.3% (FT-GCS), 32.7% (FT-GRS), −17.2% (fSENC-GLS), and −17.7% (fSENC-GCS). Conclusion: The analysis of reference values highlights the influence of gender, temporal resolution, cardiac muscle mass and age on myocardial strain values.
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Affiliation(s)
- Elena Weise Valdés
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Peter Barth
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Kai Thorsten Laser
- Center for Congenital Heart Defects, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
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Valente FX, Gavara J, Gutierrez L, Rios-Navarro C, Rello P, Maymi M, Fernandez-Galera R, Monmeneu JV, Sao-Aviles A, Lopez-Lereu MP, Gonzalez-Alujas MT, Moratal D, Cuellar H, Barrabés J, Otaegui I, Evangelista A, Ferreira I, Bodi V, Rodriguez-Palomares J. Predictive Value of Cardiac Magnetic Resonance Feature Tracking after Acute Myocardial Infarction: A Comparison with Dobutamine Stress Echocardiography. J Clin Med 2021; 10:jcm10225261. [PMID: 34830543 PMCID: PMC8624532 DOI: 10.3390/jcm10225261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 11/16/2022] Open
Abstract
In acute ST-segment elevation myocardial infarction (STEMI) late gadolinium enhancement (LGE) may underestimate segmental functional recovery. We evaluated the predictive value of cardiac magnetic resonance (CMR) feature-tracking (FT) for functional recovery and whether it incremented the value of LGE compared to low-dose dobutamine stress echocardiography (LDDSE) and speckle-tracking echocardiography (STE). Eighty patients underwent LDDSE and CMR within 5–7 days after STEMI and segmental functional recovery was defined as improvement in wall-motion at 6-months CMR. Optimal conventional and FT parameters were analyzed and then also applied to an external validation cohort of 222 STEMI patients. Circumferential strain (CS) was the strongest CMR-FT predictor and addition to LGE increased the overall accuracy to 74% and was especially relevant in segments with 50–74% LGE (AUC 0.60 vs. 0.75, p = 0.001). LDDSE increased the overall accuracy to 71%, and in the 50–74% LGE subgroup improved the AUC from 0.60 to 0.69 (p = 0.039). LGE + CS showed similar value as LGE + LDDSE. In the validation cohort, CS was also the strongest CMR-FT predictor of recovery and addition of CS to LGE improved overall accuracy to 73% although this difference was not significant (AUC 0.69, p = 0.44). Conclusion: CS is the strongest CMR-FT predictor of segmental functional recovery after STEMI. Its incremental value to LGE is comparable to that of LDDSE whilst avoiding an inotropic stress agent. CS is especially relevant in segments with 50–74% LGE where accuracy is lower and further testing is frequently required to clarify the potential for recovery.
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Affiliation(s)
- Filipa X. Valente
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
- Correspondence:
| | - José Gavara
- Centro de Biomateriales y Ingeniería de Tejidos, Universitat Politècnica de Valencia, 46022 Valencia, Spain; (J.G.); (D.M.)
| | - Laura Gutierrez
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Cesar Rios-Navarro
- Instituto de Investigación Sanitaria INCLIVA, 46010 Valencia, Spain; (C.R.-N.); (V.B.)
| | - Pau Rello
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Manel Maymi
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Ruben Fernandez-Galera
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - José V. Monmeneu
- Unidad de Resonancia Magnética Cardiovascular, Exploraciones Radiológicas Especiales (ERESA), 46015 Valencia, Spain; (J.V.M.); (M.P.L.-L.)
| | - Augusto Sao-Aviles
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Maria P. Lopez-Lereu
- Unidad de Resonancia Magnética Cardiovascular, Exploraciones Radiológicas Especiales (ERESA), 46015 Valencia, Spain; (J.V.M.); (M.P.L.-L.)
| | - M. Teresa Gonzalez-Alujas
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - David Moratal
- Centro de Biomateriales y Ingeniería de Tejidos, Universitat Politècnica de Valencia, 46022 Valencia, Spain; (J.G.); (D.M.)
| | - Hug Cuellar
- Radiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain;
| | - José Barrabés
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Imanol Otaegui
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Artur Evangelista
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Ignacio Ferreira
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
| | - Vicente Bodi
- Instituto de Investigación Sanitaria INCLIVA, 46010 Valencia, Spain; (C.R.-N.); (V.B.)
- Cardiology Department, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain
- Centrode Investigación Biomédica en Red—Cardiovascular (CIBER-CV), 28029 Madrid, Spain
- Medicine Department, Facultad de Medicina y Odontología, Universidad de Valencia, 46010 Valencia, Spain
| | - José Rodriguez-Palomares
- Cardiology Department, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain; (L.G.); (P.R.); (M.M.); (R.F.-G.); (A.S.-A.); (M.T.G.-A.); (J.B.); (I.O.); (A.E.); (I.F.); (J.R.-P.)
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55
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Tan NS, Deva DP, Connelly KA, Angaran P, Mangat I, Jimenez-Juan L, Ng MY, Ahmad K, Kotha VK, Lima JAC, Crean AM, Dorian P, Yan AT. Myocardial strain assessment using cardiovascular magnetic resonance imaging in recipients of implantable cardioverter defibrillators. J Cardiovasc Magn Reson 2021; 23:115. [PMID: 34670574 PMCID: PMC8529844 DOI: 10.1186/s12968-021-00806-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/16/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) is increasingly used in the evaluation of patients who are potential candidates for implantable cardioverter-defibrillator (ICD) therapy to assess left ventricular (LV) ejection fraction (LVEF), myocardial fibrosis, and etiology of cardiomyopathy. It is unclear whether CMR-derived strain measurements are predictive of appropriate shocks and death among patients who receive an ICD. We evaluated the prognostic value of LV strain parameters on feature-tracking (FT) CMR in patients who underwent subsequent ICD implant for primary or secondary prevention of sudden cardiac death. METHODS Consecutive patients from 2 Canadian tertiary care hospitals who underwent ICD implant and had a pre-implant CMR scan were included. Using FT-CMR, a single, blinded, reader measured LV global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain. Cox proportional hazards regression was performed to assess the associations between strain measurements and the primary composite endpoint of all-cause death or appropriate ICD shock that was independently ascertained. RESULTS Of 364 patients (mean 61 years, mean LVEF 32%), 64(17.6%) died and 118(32.4%) reached the primary endpoint over a median follow-up of 62 months. Univariate analyses showed significant associations between GLS, GCS, and GRS and appropriate ICD shocks or death (all p < 0.01). In multivariable Cox models incorporating LVEF, GLS remained an independent predictor of both the primary endpoint (HR 1.05 per 1% higher GLS, 95% CI 1.01-1.09, p = 0.010) and death alone (HR 1.06 per 1% higher GLS, 95% CI 1.02-1.11, p = 0.003). There was no significant interaction between GLS and indication for ICD implant, presence of ischemic heart disease or late gadolinium enhancement (all p > 0.30). CONCLUSIONS GLS by FT-CMR is an independent predictor of appropriate shocks or mortality in ICD patients, beyond conventional prognosticators including LVEF. Further study is needed to elucidate the role of LV strain analysis to refine risk stratification in routine assessment of ICD treatment benefit.
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Affiliation(s)
- Nigel S Tan
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Djeven P Deva
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada
| | - Kim A Connelly
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Paul Angaran
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Iqwal Mangat
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Laura Jimenez-Juan
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China
| | - Kamran Ahmad
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | | | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | | | - Paul Dorian
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Andrew T Yan
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada.
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Morales MA, van den Boomen M, Nguyen C, Kalpathy-Cramer J, Rosen BR, Stultz CM, Izquierdo-Garcia D, Catana C. DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics. Front Cardiovasc Med 2021; 8:730316. [PMID: 34540923 PMCID: PMC8446607 DOI: 10.3389/fcvm.2021.730316] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/10/2021] [Indexed: 12/04/2022] Open
Abstract
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data provides a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular ejection fraction, but sources of variation including segmentation and motion estimation have limited its wider clinical use. We designed and validated a fast, fully-automatic deep learning (DL) workflow to generate both volumetric parameters and strain measures from cine-MRI data consisting of segmentation and motion estimation convolutional neural networks. The final motion network design, loss function, and associated hyperparameters are the result of a thorough ad hoc implementation that we carefully planned specific for strain quantification, tested, and compared to other potential alternatives. The optimal configuration was trained using healthy and cardiovascular disease (CVD) subjects (n = 150). DL-based volumetric parameters were correlated (>0.98) and without significant bias relative to parameters derived from manual segmentations in 50 healthy and CVD test subjects. Compared to landmarks manually-tracked on tagging-MRI images from 15 healthy subjects, landmark deformation using DL-based motion estimates from paired cine-MRI data resulted in an end-point-error of 2.9 ± 1.5 mm. Measures of end-systolic global strain from these cine-MRI data showed no significant biases relative to a tagging-MRI reference method. On 10 healthy subjects, intraclass correlation coefficient for intra-scanner repeatability was good to excellent (>0.75) for all global measures and most polar map segments. In conclusion, we developed and evaluated the first end-to-end learning-based workflow for automated strain analysis from cine-MRI data to quantitatively characterize cardiac mechanics of healthy and CVD subjects.
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Affiliation(s)
- Manuel A Morales
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
| | - Maaike van den Boomen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.,Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Christopher Nguyen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Jayashree Kalpathy-Cramer
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Bruce R Rosen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
| | - Collin M Stultz
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States.,Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States.,Division of Cardiology, Massachusetts General Hospital, Boston, MA, United States
| | - David Izquierdo-Garcia
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
| | - Ciprian Catana
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
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57
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He J, Yang W, Wu W, Li S, Yin G, Zhuang B, Xu J, Sun X, Zhou D, Wei B, Sirajuddin A, Teng Z, Zhao S, Kureshi F, Lu M. Early Diastolic Longitudinal Strain Rate at MRI and Outcomes in Heart Failure with Preserved Ejection Fraction. Radiology 2021; 301:582-592. [PMID: 34519577 DOI: 10.1148/radiol.2021210188] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background Assessment of subclinical myocardial dysfunction by using feature tracking has shown promise in prognosis evaluation of heart failure with preserved ejection fraction (HFpEF). Global early diastolic longitudinal strain rate (eGLSR) can identify earlier diastolic dysfunction; however, limited data are available on its prognostic value in HFpEF. Purpose To evaluate the association between left ventricular (LV) eGLSR and primary composite outcomes (all-cause death or heart failure hospitalization) in patients with HFpEF. Materials and Methods In this retrospective study, consecutive patients with HFpEF (included from January 2010 to March 2013) underwent cardiovascular MRI. The correlation between eGLSR and variables was assessed by using linear regression. The association between eGLSR (obtained with use of feature tracking) and outcomes was analyzed by using Cox proportional regression. Results A total of 186 patients with HFpEF (mean age ± standard deviation, 59 years ± 12; 77 women) were included. The eGLSR was weakly correlated with LV end-diastole volume index (Pearson correlation coefficient [r] = -0.35; P < .001), heart rate (r = 0.35; P < .001), and LV ejection fraction (r = 0.30; P < .001) and moderately correlated with LV end-systole volume index (r = -0.41; P < .001). At a median follow-up of 9.2 years (interquartile range, 8.7-10.0 years), 72 patients experienced primary composite outcomes. Impaired eGLSR, defined as an eGLSR of less than 0.57 per second, was associated with a greater rate of heart failure hospitalization or all-cause death (hazard ratio, 2.0 [95% CI: 1.1, 3.7]; P = .02) after adjusting for multiple clinical and imaging-based variables. Conclusion Left ventricular global early diastolic longitudinal strain rate obtained from cardiovascular MRI feature tracking was independently associated with adverse outcomes in patients with heart failure with preserved ejection fraction. © RSNA, 2021 Online supplemental material is available for this article. An earlier incorrect version appeared online. This article was corrected on October 22, 2021.
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Affiliation(s)
- Jian He
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Wenjing Yang
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Weichun Wu
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Shuang Li
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Gang Yin
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Baiyan Zhuang
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Jing Xu
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Xiaoxin Sun
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Di Zhou
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Binqi Wei
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Arlene Sirajuddin
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Zhongzhao Teng
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Shihua Zhao
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Faraz Kureshi
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
| | - Minjie Lu
- From the Departments of Magnetic Resonance Imaging (J.H., W.Y., S.L., G.Y., B.Z., J.X., D.Z., S.Z., M.L.), Echocardiography (W.W.), and Nuclear Medicine (X.S.), and Heart Failure Care Unit, Heart Failure Center (B.W.), Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.S., M.L.); Department of Radiology, University of Cambridge, Cambridge, England (Z.T.); Axis Cardiovascular and Axis Cardiovascular Advanced Imaging, St David's Healthcare, Austin, Tex (F.K.); and Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.)
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Sagawa H, Miyati T. Cardiovascular magnetic resonance virtual tagging with B-spline-based free-form deformation. Magn Reson Imaging 2021; 83:169-177. [PMID: 34492328 DOI: 10.1016/j.mri.2021.09.002] [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: 04/10/2021] [Revised: 08/30/2021] [Accepted: 09/02/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE We developed a virtual tagging technique that reconstructs tagging images using the displacement field obtained by applying B-spline free-form deformation (FFD) between diastolic images and images of other cardiac phases in cardiac cine MRI. The purpose of this study was to validate its characteristics and usefulness in phantom and patient studies. METHODS Digital phantoms simulating uniform and non-uniform wall motion models were created, and virtual tagging images were reconstructed with various matrix sizes and tag resolutions to evaluate the accuracy of FFD and the characteristics of the tags. In the patient study, FFD's accuracy was assessed at three levels (base, middle, and apex) in healthy patients. In patients with heart failure, virtual tagging images were compared with strain maps obtained by feature tracking and virtual tagging. RESULTS In the phantom study, blurring of tags was observed when tags were reconstructed with high resolution using a small matrix size. In the patient study, the accuracy of FFD was lower in the base than in the apex. Patients with heart failure had decreased distortion of the displacement field vector and virtual tags, indicating decreased local wall motion, consistent with areas of abnormalities found in strain maps. CONCLUSION The virtual tagging technique does not require additional imaging and can visualize regional LV motion abnormalities via deformation of the tag as well as conventional cardiovascular magnetic resonance tagging.
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Affiliation(s)
- Hajime Sagawa
- Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.
| | - Tosiaki Miyati
- Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.
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Kovacheva E, Gerach T, Schuler S, Ochs M, Dössel O, Loewe A. Causes of altered ventricular mechanics in hypertrophic cardiomyopathy: an in-silico study. Biomed Eng Online 2021; 20:69. [PMID: 34294108 PMCID: PMC8296558 DOI: 10.1186/s12938-021-00900-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/08/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is typically caused by mutations in sarcomeric genes leading to cardiomyocyte disarray, replacement fibrosis, impaired contractility, and elevated filling pressures. These varying tissue properties are associated with certain strain patterns that may allow to establish a diagnosis by means of non-invasive imaging without the necessity of harmful myocardial biopsies or contrast agent application. With a numerical study, we aim to answer: how the variability in each of these mechanisms contributes to altered mechanics of the left ventricle (LV) and if the deformation obtained in in-silico experiments is comparable to values reported from clinical measurements. METHODS We conducted an in-silico sensitivity study on physiological and pathological mechanisms potentially underlying the clinical HCM phenotype. The deformation of the four-chamber heart models was simulated using a finite-element mechanical solver with a sliding boundary condition to mimic the tissue surrounding the heart. Furthermore, a closed-loop circulatory model delivered the pressure values acting on the endocardium. Deformation measures and mechanical behavior of the heart models were evaluated globally and regionally. RESULTS Hypertrophy of the LV affected the course of strain, strain rate, and wall thickening-the root-mean-squared difference of the wall thickening between control (mean thickness 10 mm) and hypertrophic geometries (17 mm) was >10%. A reduction of active force development by 40% led to less overall deformation: maximal radial strain reduced from 26 to 21%. A fivefold increase in tissue stiffness caused a more homogeneous distribution of the strain values among 17 heart segments. Fiber disarray led to minor changes in the circumferential and radial strain. A combination of pathological mechanisms led to reduced and slower deformation of the LV and halved the longitudinal shortening of the LA. CONCLUSIONS This study uses a computer model to determine the changes in LV deformation caused by pathological mechanisms that are presumed to underlay HCM. This knowledge can complement imaging-derived information to obtain a more accurate diagnosis of HCM.
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Affiliation(s)
- Ekaterina Kovacheva
- Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany
| | - Tobias Gerach
- Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany
| | - Steffen Schuler
- Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany
| | - Marco Ochs
- Department of Cardiology, Theresienkrankenhaus, Academic Teaching Hospital of Heidelberg University, Bassermannstr.1, 68165, Mannheim, Germany
| | - Olaf Dössel
- Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany
| | - Axel Loewe
- Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany.
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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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Żmigrodzki J, Cygan S, Kałużyński K. Evaluation of strain averaging area and strain estimation errors in a spheroidal left ventricular model using synthetic image data and speckle tracking. BMC Med Imaging 2021; 21:105. [PMID: 34193060 PMCID: PMC8243486 DOI: 10.1186/s12880-021-00635-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 05/25/2021] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND In majority of studies on speckle tracking echocardiography (STE) the strain estimates are averaged over large areas of the left ventricle. This may impair the diagnostic capability of the STE in the case of e.g. local changes of the cardiac contractility. This work attempts to evaluate, how far one can reduce the averaging area, without sacrificing the estimation accuracy that could be important from the clinical point of view. METHODS Synthetic radio frequency (RF) data of a spheroidal left ventricular (LV) model were generated using FIELD II package and meshes obtained from finite element method (FEM) simulation. The apical two chamber (A2C) view and the mid parasternal short axis view (pSAXM) were simulated. The sector encompassed the entire cross-section (full view) of the LV model or its part (partial view). The wall segments obtained according to the American Heart Association (AHA17) were divided into subsegments of area decreasing down to 3 mm2. Longitudinal, circumferential and radial strain estimates, obtained using a hierarchical block-matching method, were averaged over these subsegments. Estimation accuracy was assessed using several error measures, making most use of the prediction of the maximal relative error of the strain estimate obtained using the FEM derived reference. Three limits of this predicted maximal error were studied, namely 16.7%, 33% and 66%. The smallest averaging area resulting in the strain estimation error below one of these limits was considered the smallest allowable averaging area (SAAA) of the strain estimation. RESULTS In all AHA17 segments, using the A2C projection, the SAAA ensuring maximal longitudinal strain estimates error below 33% was below 3 mm2, except for the segment no 17 where it was above 278 mm2. The SAAA ensuring maximal circumferential strain estimates error below 33% depended on the AHA17 segment position within the imaging sector and view type and ranged from below 3-287 mm2. The SAAA ensuring maximal radial strain estimates error below 33% obtained in the pSAXM projection was not less than 287 mm2. The SAAA values obtained using other maximal error limits differ from SAAA values observed for the 33% error limit only in limited number of cases. SAAA decreased when using maximal error limit equal to 66% in these cases. The use of the partial view (narrow sector) resulted in a decrease of the SAAA. CONCLUSIONS The SAAA varies strongly between strain components. In a vast part of the LV model wall in the A2C view the longitudinal strain could be estimated using SAAA below 3 mm2, which is smaller than the averaging area currently used in clinic, thus with a higher resolution. The SAAA of the circumferential strain estimation strongly depends on the position of the region of interest and the parameters of the acquisition. The SAAA of the radial strain estimation takes the highest values. The use of a narrow sector could increase diagnostic capabilities of 2D STE.
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Affiliation(s)
- Jakub Żmigrodzki
- Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Warsaw, Poland.
| | - Szymon Cygan
- Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Warsaw, Poland
| | - Krzysztof Kałużyński
- Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Warsaw, Poland
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Nikolaidou C, Kotanidis CP, Wijesurendra R, Leal-Pelado J, Kouskouras K, Vassilikos VP, Karvounis H, Ntusi N, Antoniades C, Neubauer S, Karamitsos TD. Cardiac Magnetic Resonance to Detect the Underlying Substrate in Patients with Frequent Idiopathic Ventricular Arrhythmias. Diagnostics (Basel) 2021; 11:1109. [PMID: 34207123 PMCID: PMC8233842 DOI: 10.3390/diagnostics11061109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/15/2021] [Accepted: 06/15/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND A routine diagnostic work-up does not identify structural abnormalities in a substantial proportion of patients with idiopathic ventricular arrhythmias (VAs). We investigated the added value of cardiac magnetic resonance (CMR) imaging in this group of patients. METHODS A single-centre prospective study was undertaken of 72 patients (mean age 46 ± 16 years; 53% females) with frequent premature ventricular contractions (PVCs ≥ 500/24 h) and/or non-sustained ventricular tachycardia (NSVT), an otherwise normal electrocardiogram, normal echocardiography and no coronary artery disease. RESULTS CMR provided an additional diagnostic yield in 54.2% of patients. The most prevalent diagnosis was previous myocarditis (23.6%) followed by possible PVC-related cardiomyopathy (20.8%), non-ischaemic cardiomyopathy (8.3%) and ischaemic heart disease (1.4%). The predictors of abnormal CMR findings were male gender, age and PVCs/NSVT non-outflow tract-related or with multiple morphologies. Patients with VAs had an impaired peak left ventricular (LV) global radial strain (GRS) compared with the controls (28.88% (IQR: 25.87% to 33.97%) vs. 36.65% (IQR: 33.19% to 40.2%), p < 0.001) and a global circumferential strain (GCS) (-17.66% (IQR: -19.62% to -16.23%) vs. -20.66% (IQR: -21.72% to -19.6%), p < 0.001). CONCLUSION CMR reveals abnormalities in a significant proportion of patients with frequent idiopathic VAs. Male gender, age and non-outflow tract PVC origin can be clinical indicators for CMR referral.
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Affiliation(s)
- Chrysovalantou Nikolaidou
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK; (C.N.); (R.W.); (J.L.-P.); (S.N.)
- First Department of Cardiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece;
| | - Christos P. Kotanidis
- Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford OX3 9DU, UK; (C.P.K.); (C.A.)
| | - Rohan Wijesurendra
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK; (C.N.); (R.W.); (J.L.-P.); (S.N.)
| | - Joana Leal-Pelado
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK; (C.N.); (R.W.); (J.L.-P.); (S.N.)
| | - Konstantinos Kouskouras
- Department of Radiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece;
| | - Vassilios P. Vassilikos
- Third Department of Cardiology, Hippokration Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 43 Thessaloniki, Greece;
| | - Haralambos Karvounis
- First Department of Cardiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece;
| | - Ntobeko Ntusi
- Department of Medicine, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa;
| | - Charalambos Antoniades
- Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford OX3 9DU, UK; (C.P.K.); (C.A.)
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK; (C.N.); (R.W.); (J.L.-P.); (S.N.)
| | - Theodoros D. Karamitsos
- First Department of Cardiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece;
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Wu J, Yang X, Gan Z. Left ventricle motion estimation for cine MR images using sparse representation with shape constraint. Phys Med 2021; 87:49-64. [PMID: 34116317 DOI: 10.1016/j.ejmp.2021.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 05/12/2021] [Accepted: 05/17/2021] [Indexed: 11/17/2022] Open
Abstract
PURPOSE To propose a left ventricle (LV) motion estimation method based on sparse representation, in order to handle the spatial-varying intensity distortions caused by tissue deformation. METHODS For each myocardial landmark, an adaptive dictionary was generated by learning transformations from a training dataset. Then the landmark was tracked using sparse representation. Next, a point distribution model was applied to the overall tracking results. Finally, the dense displacement field of the LV myocardium was estimated based on the correspondence between each landmark. Using the dense displacement field estimated, the circumferential strain was calculated to assess the myocardial function. The performance of the proposed method was quantified by the average perpendicular distance (APD), the Dice metric, and the mean symmetric contour distance (SCD). RESULTS Comparing to the state-of-the-art techniques, the smallest value of APD and SCD, and the highest value of Dice can be obtained using the proposed method, for three public cardiac datasets. Moreover, the mean value of strain difference between the proposed method and the commercial software Medis Suite MR was -0.01, while the intraclass correlation coefficient between these two methods was 0.91. CONCLUSIONS The proposed method could estimate the dense displacement field of the LV accurately, which outperforms other state-of-the-art techniques. The circumferential strain derived from the proposed method was in excellent agreement with that derived from the Medis Suite MR software, while segmental strain abnormalities were detected for most of the subjects with heart diseases, which indicates the potential of the proposed method for clinical usage.
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Affiliation(s)
- Junhao Wu
- Department of Computer Science, Shantou University, Shantou, Guangdong, China.
| | - Xuan Yang
- College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China.
| | - Ziyu Gan
- College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China
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Risk stratification of patients with Brugada syndrome: the impact of myocardial strain analysis using cardiac magnetic resonance feature tracking. Hellenic J Cardiol 2021; 62:329-338. [PMID: 34082115 DOI: 10.1016/j.hjc.2021.05.003] [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: 03/16/2021] [Revised: 04/19/2021] [Accepted: 05/19/2021] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE This study evaluated the prognostic significance of cardiac magnetic resonance myocardial feature tracking (CMR-FT) in patients with Brugada syndrome (BrS) to detect subclinical alterations and predict major adverse events (MAE). METHODS CMR was performed in 106 patients with BrS and 25 healthy controls. Biventricular global strain analysis was assessed using CMR-FT. Patients were followed over a median of 11.6 [8.8 ± 13.8] years. RESULTS The study cohort was subdivided according to the presence of a spontaneous type 1 ECG (sECG) into sBrS (BrS with sECG, n = 34 (32.1%)) and diBrS (BrS with drug-induced type 1 ECG, n = 72 (67.9%)). CMR-FT revealed morphological differences between sBrS and diBrS patients with regard to right ventricular (RV) strain (circumferential (%) (sBrS -7.9 ± 2.9 vs diBrS - 9.5 ± 3.1, p = 0.02) and radial (%) (sBrS 12.0 ± 4.3 vs diBrS 15.4 ± 5.4, p = 0.004)). During follow-up, MAE occurred in 11 patients (10.4%). Multivariable analysis was performed to identify independent predictors for the occurrence of events during follow-up. The strongest predictive value was found for RV circumferential strain (OR 3.2 (95% CI 1.4 - 6.9), p = 0.02) and RVOT/BSA (OR 3.1 (95% CI 1.0 - 7.0), p = 0.03). CONCLUSIONS Myocardial strain analysis detected early subclinical alterations, prior to apparent changes in myocardial function, in patients with BrS. While usual functional parameters were within the normal range, CMR-FT revealed pathological results in patients with an sECG. Moreover, RV circumferential strain and RVOT size provided additional prognostic information on the occurrence of MAE during follow-up, which reflects electrical vulnerability.
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Lai W, Jie H, Jian-Xun D, Ling-Cong K, Jun-Tong Z, Bo-Zhong S, Dong-Ao-Lei A, Bing-Hua C, Song D, Zheng L, Fan Y, Yi-Ning Y, Fu-Hua Y, Jian-Cheng X, Hu-Wen W, Jian-Rong X, Heng G, Jun P. Impact of Concomitant Impairments of the Left and Right Ventricular Myocardial Strain on the Prognoses of Patients With ST-Elevation Myocardial Infarction. Front Cardiovasc Med 2021; 8:659364. [PMID: 34136542 PMCID: PMC8200389 DOI: 10.3389/fcvm.2021.659364] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 04/30/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The impact of concomitant impairments of left and right ventricular (LV and RV) strain on the long-term prognosis of acute ST-elevation myocardial infarction (STEMI) is not clear. Methods: We analyzed CMR images and followed up 420 first STEMI patients from the EARLY Assessment of MYOcardial Tissue Characteristics by CMR in STEMI (EARLY-MYO-CMR) registry (NCT03768453). These patients received timely primary percutaneous coronary intervention (PCI) within 12 h and CMR examination within 1 week (median, 5 days; range, 2-7 days) after infarction. Global longitudinal strain (GLS), global radial strain (GRS), and global circumferential strain (GCS) of both ventricles were measured based on CMR cine images. Conventional CMR indexes were also assessed. Primary clinical outcome was composite major adverse cardiac and cerebrovascular events (MACCEs) including cardiovascular death, re-infarction, re-hospitalization for heart failure and stroke. In addition, CMR data from 40 people without apparent heart disease were used as control group. Results: Compared to controls, both LV and RV strains were remarkably reduced in STEMI patients. During follow-up (median: 52 months, interquartile range: 29-68 months), 80 patients experienced major adverse cardiac and cerebrovascular events (MACCEs) including cardiovascular death, re-infarction, heart failure, and stroke. LV-GCS > -11.20% was an independent predictor of MACCEs (P < 0.001). RV-GRS was the only RV strain index that could effectively predict the risk of MACCEs (AUC = 0.604, 95% CI [0.533, 0.674], P = 0.004). Patient with RV-GRS ≤ 38.79% experienced more MACCEs than those with preserved RV-GRS (log rank P < 0.001). Moreover, patients with the concomitant decrease of LV-GCS and RV-GRS were more likely to experience MACCEs than patients with decreased LV-GCS alone (log rank P = 0.010). RV-GRS was incremental to LV-GCS for the predictive power of MACCEs (continuous NRI: 0.327; 95% CI: 0.095-0.558; P = 0.006). Finally, tobacco use (P = 0.003), right coronary artery involvement (P = 0.002), and LV-GCS > -11.20% (P = 0.012) was correlated with lower RV-GRS. Conclusions: The concomitant decrease of LV and RV strain is associated with a worse long-term prognosis than impaired LV strain alone. Combination assessment of both LV and RV strain indexes could improve risk stratification of patients with STEMI. Trial Registration: ClinicalTrials.gov, NCT03768453. Registered 7 December 2018 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03768453.
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Affiliation(s)
- Wei Lai
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - He Jie
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Dong Jian-Xun
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Kong Ling-Cong
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zeng Jun-Tong
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shi Bo-Zhong
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - An Dong-Ao-Lei
- Department of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Chen Bing-Hua
- Department of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ding Song
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Li Zheng
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Fan
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Yi-Ning
- The First Affiliated Hospital, Xinjiang Medical University, Ürümqi, China
| | - Yan Fu-Hua
- Department of Radiology, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiu Jian-Cheng
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wang Hu-Wen
- School of Public Health, Shanghai Jiaotong University, Shanghai, China
| | - Xu Jian-Rong
- Department of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ge Heng
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Pu Jun
- Department of Cardiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
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Zhang Y, Mui D, Chirinos JA, Zamani P, Ferrari VA, Chen Y, Han Y. Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction. J Cardiovasc Magn Reson 2021; 23:55. [PMID: 34011382 PMCID: PMC8136221 DOI: 10.1186/s12968-021-00747-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/18/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) myocardial strain analysis using feature tracking (FT) is an increasingly popular method to assess cardiac function. However, different software packages produce different strain values from the same images and there is little guidance regarding which software package would be the best to use. We explored a framework under which different software packages could be compared and used based on their abilities to differentiate disease from health and differentiate disease severity based on outcome. METHOD To illustrate this concept, we compared 4-chamber left ventricular (LV) peak longitudinal strain (GLS) analyzed from retrospective electrocardiogram gated cine imaging performed on 1.5 T CMR scanners using three CMR post-processing software packages in their abilities to discriminate a group of 45 patients with heart failure with preserved ejection fraction (HFpEF) from 26 controls without cardiovascular disease and to discriminate disease severity based on outcomes. The three different post-processing software used were SuiteHeart, cvi42, and DRA-Trufistrain. RESULTS All three software packages were able to distinguish HFpEF patients from controls. 4-chamber peak GLS by SuiteHeart was shown to be a better discriminator of adverse outcomes in HFpEF patients than 4-chamber GLS derived from cvi42 or DRA-Trufistrain. CONCLUSION We illustrated a framework to compare feature tracking GLS derived from different post-processing software packages. Publicly available imaging data sets with outcomes would be important to validate the growing number of CMR-FT software packages.
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Affiliation(s)
- Ying Zhang
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
- PLA General Hospital, Beijing, China
| | - David Mui
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Julio A. Chirinos
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Payman Zamani
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Victor A. Ferrari
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Chengdu, China
| | - Yuchi Han
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
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Militaru S, Panovsky R, Hanet V, Amzulescu MS, Langet H, Pisciotti MM, Pouleur AC, Vanoverschelde JLJ, Gerber BL. Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T. J Cardiovasc Magn Reson 2021; 23:54. [PMID: 33980259 PMCID: PMC8117295 DOI: 10.1186/s12968-021-00742-3] [Citation(s) in RCA: 5] [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: 05/07/2020] [Accepted: 03/16/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging. METHODS In 61 subjects (18 healthy subjects, 18 patients with chronic myocardial infarction, 15 with dilated cardiomyopathy, and 10 with LV hypertrophy due to hypertrophic cardiomyopathy or aortic stenosis) were prospectively compared global (G) and regional transmural peak-systolic Lagrangian longitudinal (LS), circumferential (CS) and radial strains (RS) by 3 FT software (cvi42, Segment, and Tomtec) among each other and with tagging at 3T. We also evaluated the ability of regional LS, CS, and RS by different FT software vs tagging to identify late gadolinium enhancement (LGE) in the 18 infarct patients. RESULTS GLS and GCS by all 3 software had an excellent agreement among each other (ICC = 0.94-0.98 for GLS and ICC = 0.96-0.98 for GCS respectively) and against tagging (ICC = 0.92-0.94 for GLS and ICC = 0.88-0.91 for GCS respectively), while GRS showed inconsistent agreement between vendors (ICC 0.10-0.81). For regional LS, the agreement was good (ICC = 0.68) between 2 vendors but less vs the 3rd (ICC 0.50-0.59) and moderate to poor (ICC 0.44-0.47) between all three FT software and tagging. Also, for regional CS agreement between 2 software was higher (ICC = 0.80) than against the 3rd (ICC = 0.58-0.60), and both better agreed with tagging (ICC = 0.70-0.72) than the 3rd (ICC = 0.57). Regional RS had more variation in the agreement between methods ranging from good (ICC = 0.75) to poor (ICC = 0.05). Finally, the accuracy of scar detection by regional strains differed among the 3 FT software. While the accuracy of regional LS was similar, CS by one software was less accurate (AUC 0.68) than tagging (AUC 0.80, p < 0.006) and RS less accurate (AUC 0.578) than the other two (AUC 0.76 and 0.73, p < 0.02) to discriminate segments with LGE. CONCLUSIONS We confirm good agreement of CMR FT and little intervendor difference for GLS and GCS evaluation, with variable agreement for GRS. For regional strain evaluation, intervendor difference was larger, especially for RS, and the diagnostic performance varied more substantially among different vendors for regional strain analysis.
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Affiliation(s)
- Sebastian Militaru
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Roman Panovsky
- International Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic
- 1st Department of Internal Medicine/Cardioangiology, St. Anne´S Faculty Hospital, Faculty of Medicine, Masaryk University Brno, Brno, Czech Republic
| | - Vincent Hanet
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Mihaela Silvia Amzulescu
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | | | - Mary Mojica Pisciotti
- International Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic
| | - Anne-Catherine Pouleur
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Jean-Louis J. Vanoverschelde
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Bernhard L. Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200 Woluwe St. Lambert, Belgium
- Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
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Role of cardiovascular magnetic resonance in early detection and treatment of cardiac dysfunction in oncology patients. Int J Cardiovasc Imaging 2021; 37:3003-3017. [PMID: 33982196 DOI: 10.1007/s10554-021-02271-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/02/2021] [Indexed: 12/26/2022]
Abstract
The purpose of this review is to provide an overview of the essential role that cardiovascular magnetic resonance (CMR) has in the field of cardio-oncology. Recent findings: CMR has been increasingly used for early identification of cancer therapy related cardiac dysfunction (CTRCD) due to its precision in detecting subtle changes in cardiac function and for myocardial tissue characterization. Summary: CMR is able to identify subclinical CTRCD in patients receiving potentially cardiotoxic chemotherapy and guide initiation of cardio protective therapy. Multiparametric analysis with myocardial strain, tissue characterization play a critical role in understanding important clinical questions in cardio-oncology.
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Cardiac Imaging in Anderson-Fabry Disease: Past, Present and Future. J Clin Med 2021; 10:jcm10091994. [PMID: 34066467 PMCID: PMC8124634 DOI: 10.3390/jcm10091994] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/21/2021] [Accepted: 04/26/2021] [Indexed: 01/04/2023] Open
Abstract
Anderson-Fabrydisease is an X-linked lysosomal storage disorder caused by a deficiency in the lysosomal enzyme α-galactosidase A. This results in pathological accumulation of glycosphingolipids in several tissues and multi-organ progressive dysfunction. The typical clinical phenotype of Anderson-Fabry cardiomyopathy is progressive hypertrophic cardiomyopathy associated with rhythm and conduction disturbances. Cardiac imaging plays a key role in the evaluation and management of Anderson-Fabry disease patients. The present review highlights the value and perspectives of standard and advanced cardiovascular imaging in Anderson-Fabry disease.
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Mandoli GE, D'Ascenzi F, Vinco G, Benfari G, Ricci F, Focardi M, Cavigli L, Pastore MC, Sisti N, De Vivo O, Santoro C, Mondillo S, Cameli M. Novel Approaches in Cardiac Imaging for Non-invasive Assessment of Left Heart Myocardial Fibrosis. Front Cardiovasc Med 2021; 8:614235. [PMID: 33937354 PMCID: PMC8081830 DOI: 10.3389/fcvm.2021.614235] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 03/22/2021] [Indexed: 12/21/2022] Open
Abstract
In the past, the identification of myocardial fibrosis was only possible through invasive histologic assessment. Although endomyocardial biopsy remains the gold standard, recent advances in cardiac imaging techniques have enabled non-invasive tissue characterization of the myocardium, which has also provided valuable insights into specific disease processes. The diagnostic accuracy, incremental yield and prognostic value of speckle tracking echocardiography, late gadolinium enhancement and parametric mapping modules by cardiac magnetic resonance and cardiac computed tomography have been validated against tissue samples and tested in broad patient populations, overall providing relevant clinical information to the cardiologist. This review describes the patterns of left ventricular and left atrial fibrosis, and their characterization by advanced echocardiography, cardiac magnetic resonance and cardiac computed tomography, allowing for clinical applications in sudden cardiac death and management of atrial fibrillation.
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Affiliation(s)
- Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Flavio D'Ascenzi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Giulia Vinco
- Section of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Giovanni Benfari
- Section of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, Institute of Advanced Biomedical Technologies, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Department of Clinical Sciences, Lund University, Malmö, Sweden.,Casa di Cura Villa Serena, Città Sant'Angelo, Italy
| | - Marta Focardi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Luna Cavigli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Nicolò Sisti
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Oreste De Vivo
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Ciro Santoro
- Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy
| | - Sergio Mondillo
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
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Assessment of myocardial deformation with CMR: a comparison with ultrasound speckle tracking. Eur Radiol 2021; 31:7242-7250. [PMID: 33787972 DOI: 10.1007/s00330-021-07857-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/21/2021] [Accepted: 03/09/2021] [Indexed: 01/02/2023]
Abstract
OBJECTIVES Myocardial deformation integrated with cardiac dimensions provides a comprehensive assessment of cardiac function, which has proven useful to differentiate cardiac pathology from physiological adaptation to situations such as chronic intensive training. Feature tracking (FT) can measure myocardial deformation from cardiac magnetic resonance (CMR) cine sequences; however, its accuracy is not yet fully validated. Our aim was to compare the accuracy and reproducibility of FT with speckle tracking echocardiography (STE) in highly trained endurance athletes. METHODS Ninety-three endurance athletes (> 12-h training/week during the last 5 years, 52% male, 35 ± 5.1 years old) and 72 age-matched controls underwent resting CMR and transthoracic echocardiography to assess biventricular exercise-induced remodeling and biventricular global longitudinal strain (GLS) by CMR-FT and STE. RESULTS Strain values were significantly lower when assessed by CMR-FT compared to STE (p < 0.001), with good reproducibility for the left ventricle (bias = 3.94%, limit of agreement [LOA] = ± 4.27 %) but wider variability for right ventricle strain. Strain values by both techniques proportionally decreased with increasing ventricular volumes, potentially depicting the functional biventricular reserve that characterizes athletes' hearts. CONCLUSIONS Biventricular longitudinal strain values were lower when assessed by FT as compared to STE. Both methods were statistically comparable when measuring LV strain but not RV strain. These differences might be justified by the lower in-plane spatial and temporal resolution of FT, which is particularly relevant for the complex anatomy of the RV. KEY POINTS • Strain values were significantly lower when assessed by FT as compared to STE, which was expected due to the lower in-plane spatial and temporal resolution of FT versus STE. • Both methods were statistically comparable when measuring LV strain but not for RV strain analysis. • Characterizing the normal ranges and reproducibility of strain metrics by FT is an important step toward its clinical applicability, since it can be assessed offline and applied to routinely acquired cine CMR images.
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Rank N, Stoiber L, Nasser M, Tanacli R, Stehning C, Knierim J, Schoenrath F, Pieske B, Falk V, Kuehne T, Meyer A, Kelle S. Assessment of 10-Year Left-Ventricular-Remodeling by CMR in Patients Following Aortic Valve Replacement. Front Cardiovasc Med 2021; 8:645693. [PMID: 33829049 PMCID: PMC8019709 DOI: 10.3389/fcvm.2021.645693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/16/2021] [Indexed: 11/13/2022] Open
Abstract
Aims: Aortic valve replacement (AVR) may result in reverse cardiac remodeling. We aimed to assess long-term changes in the myocardium following AVR by Cardiac Magnetic Resonance Imaging (CMR). Methods: We prospectively observed the long-term left ventricular (LV) function and structure of 27 patients with AVR [n = 19 with aortic stenosis (AS); n = 8 with aortic regurgitation (AR)] by CMR. Patients underwent CMR before, as well as 1, 5, and 10 years after AVR. We evaluated clinical parameters, LV volumes, mass, geometry, ejection fraction (EF), global myocardial longitudinal strain (MyoGLS), global myocardial circular strain (MyoGCS), hemodynamic forces (HemForces), and Late Gadolinium Enhancement (LGE). Results: The median of LVMI, EDVI, and ESVI decreased in both groups. Patients with AR had higher initial values of EDVI and ESVI and showed a more prominent initial reduction. In AS, MyoGLS improved already after 1 year and remained constant afterward, whereas, in AR no improvement of MyoGLS was found. MyoGCS remained unchanged in the AS group but deteriorated in the AR group over 10 years. Ejection fraction (EF) was higher in AS patients compared to AR 10 years post-AVR. Late gadolinium enhancement (LGE) could be found more frequently in AS patients. Conclusion: CMR was well suited to investigate myocardial changes over a 10-year follow up period in patients with aortic valve disease. Regarding the long-term functional changes following AVR, patients with AR seemed to benefit less from AVR compared to AS patients. Fibrosis was more common in AS, but this did not reflect functional evolution in these patients. Close monitoring seems indispensable to avoid irreversible structural damage of the heart and to perform AVR at an appropriate stage.
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Affiliation(s)
- Nina Rank
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Lukas Stoiber
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Cardiothoracic & Vascular Surgery, German Heart Center Berlin, Berlin, Germany
| | - Mithal Nasser
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Radu Tanacli
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany
| | | | - Jan Knierim
- Department of Cardiothoracic & Vascular Surgery, German Heart Center Berlin, Berlin, Germany
| | - Felix Schoenrath
- Department of Cardiothoracic & Vascular Surgery, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Volkmar Falk
- Department of Cardiothoracic & Vascular Surgery, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Cardiovascular Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Health Science and Technology, Eidgenössische Technische Hochschule Zurich, Zurich, Switzerland
| | - Titus Kuehne
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Institute for Cardiovascular Imaging Science and Computational Modelling, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander Meyer
- Department of Cardiothoracic & Vascular Surgery, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine & Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
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73
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Samuel TJ, Kitzman DW, Haykowsky MJ, Upadhya B, Brubaker P, Nelson MB, Hundley WG, Nelson MD. Left ventricular diastolic dysfunction and exercise intolerance in obese heart failure with preserved ejection fraction. Am J Physiol Heart Circ Physiol 2021; 320:H1535-H1542. [PMID: 33577436 PMCID: PMC8260389 DOI: 10.1152/ajpheart.00610.2020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
This study tested the hypothesis that early left ventricular (LV) relaxation is impaired in older obese patients with heart failure with preserved ejection fraction (HFpEF), and related to decreased peak exercise oxygen uptake (peak V̇o2). LV strain and strain rate were measured by feature tracking of magnetic resonance cine images in 79 older obese patients with HFpEF (mean age: 66 yr; mean body mass index: 38 kg/m2) and 54 healthy control participants. LV diastolic strain rates were indexed to cardiac preload as estimated by echocardiography derived diastolic filling pressures (E/e'), and correlated to peak V̇o2. LV circumferential early diastolic strain rate was impaired in HFpEF compared with controls (0.93 ± 0.05/s vs. 1.20 ± 0.07/s, P = 0.014); however, we observed no group differences in early LV radial or longitudinal diastolic strain rates. Isolating myocardial relaxation by indexing all three early LV diastolic strain rates (i.e. circumferential, radial, and longitudinal) to E/e' amplified the group difference in early LV diastolic circumferential strain rate (0.08 ± 0.03 vs. 0.13 ± 0.05, P < 0.0001), and unmasked differences in early radial and longitudinal diastolic strain rate. Moreover, when indexing to E/e', early LV diastolic strain rates from all three principal strains, were modestly related with peak V̇o2 (R = 0.36, -0.27, and 0.35, respectively, all P < 0.01); this response, however, was almost entirely driven by E/e' itself, (R = -0.52, P < 0.001). Taken together, we found that although LV relaxation is impaired in older obese patients with HFpEF, and modestly correlates with their severely reduced peak exercise V̇o2, LV filling pressures appear to play a much more important role in determining exercise intolerance.NEW & NOTEWORTHY Using a multimodal imaging approach to uncouple tissue deformation from atrial pressure, we found that left ventricular (LV) relaxation is impaired in older obese patients with HFpEF, but only modestly correlates with their severely reduced peak V̇o2. In contrast, the data show a much stronger relationship between elevated LV filling pressures and exercise intolerance, refocusing future therapeutic priorities.
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Affiliation(s)
- T Jake Samuel
- Department of Kinesiology, University of Texas at Arlington, Arlington, Texas
| | - Dalane W Kitzman
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina.,Section on Gerontology, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Mark J Haykowsky
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada
| | - Bharathi Upadhya
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Peter Brubaker
- Department of Health and Exercise Science, Wake Forest University, North Carolina
| | - M Benjamin Nelson
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - W Gregory Hundley
- Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Michael D Nelson
- Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.,Department of Bioengineering, University of Texas at Arlington, Arlington, Texas
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74
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Doeblin P, Gebker R, Pieske B, Kelle S. Late onset apical hypertrophic cardiomyopathy: a case report. EUROPEAN HEART JOURNAL-CASE REPORTS 2021; 5:ytaa493. [PMID: 33554024 PMCID: PMC7850629 DOI: 10.1093/ehjcr/ytaa493] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/15/2020] [Accepted: 11/18/2020] [Indexed: 11/13/2022]
Abstract
Background Apical hypertrophic cardiomyopathy provides diagnostic challenges through varying presentation, impaired visualization on echocardiography and dissent on diagnostic criteria. While hypertrophic cardiomyopathy in general requires an absolute wall thickness ≥15 mm, a threshold for relative apical hypertrophy (ratio 1.5) has been proposed. Case summary We report the case of a 57-year-old man with newly arisen chest pain and slight T-wave inversions. Serial cardiac magnetic resonance imaging over 9 years documented the gradual evolvement of late-onset apical hypertrophy with apical fibrosis and strain abnormalities. Symptoms, electrocardiographic changes, and relative apical hypertrophy preceded the traditional imaging criteria of hypertrophic cardiomyopathy. Discussion Relative apical hypertrophy can be an early manifestation of apical hypertrophic cardiomyopathy. Persistent cardiac signs and symptoms warrant a follow-up, as apical hypertrophic cardiomyopathy can evolve over time. Cardiac magnetic resonance imaging readily visualizes apical hypertrophic cardiomyopathy and associated changes in tissue composition and function.
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Affiliation(s)
- Patrick Doeblin
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Rolf Gebker
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Charité Campus Virchow Klinikum, Department of Internal Medicine/Cardiology, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Charité Campus Virchow Klinikum, Department of Internal Medicine/Cardiology, Berlin, Germany
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75
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Li H, Qu Y, Metze P, Sommerfeld F, Just S, Abaei A, Rasche V. Quantification of Biventricular Myocardial Strain Using CMR Feature Tracking: Reproducibility in Small Animals. BIOMED RESEARCH INTERNATIONAL 2021; 2021:8492705. [PMID: 33553431 PMCID: PMC7847329 DOI: 10.1155/2021/8492705] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 12/16/2020] [Accepted: 01/13/2021] [Indexed: 12/16/2022]
Abstract
Myocardial strain is a well-validated parameter for evaluating myocardial contraction. Cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) is a novel method for the quantitative measurements of myocardial strain from routine cine acquisitions. In this study, we investigated the influence of temporal resolution on tracking accuracy of CMR-FT and the intraobserver, interobserver, and interstudy reproducibilities for biventricular strain analysis in mice from self-gated CMR at 11.7 T. 12 constitutive nexilin knockout (Nexn-KO) mice, heterozygous (Het, N = 6) and wild-type (WT, N = 6), were measured with a well-established self-gating sequence twice within two weeks. CMR-FT measures of biventricular global and segmental strain parameters were derived. Interstudy, intraobserver, and interobserver reproducibilities were investigated. For the assessment of the impact of the temporal resolution for the outcome in CMR-FT, highly oversampled semi-4 chamber and midventricular short-axis data were acquired and reconstructed with 10 to 80 phases per cardiac cycle. A generally reduced biventricular myocardial strain was observed in Nexn-KO Het mice. Excellent intraobserver and interobserver reproducibility was achieved in all global strains (ICC range from 0.76 to 0.99), where global right ventricle circumferential strain (RCSSAX) showed an only good interobserver reproducibility (ICC 0.65, 0.11-0.89). For interstudy reproducibility, left ventricle longitudinal strain (LLSLAX) was the most reproducible measure of strain (ICC 0.90, 0.71-0.97). The left ventricle radial strain (LRSSAX) (ICC 0.50, 0.10-0.83) showed fair reproducibility and RCSSAX (ICC 0.36, 0.14-0.74) showed only poor reproducibility. In general, compared with global strains, the segmental strains showed relatively lower reproducibility. A minimal temporal resolution of 20 phases per cardiac cycle appeared sufficient for CMR-FT strain analysis. The analysis of myocardial strain from high-resolution self-gated cine images by CMR-FT provides a highly reproducible method for assessing myocardial contraction in small rodent animals. Especially, global LV longitudinal and circumferential strain revealed excellent reproducibility of intra- and interobserver and interstudy measurements.
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Affiliation(s)
- Hao Li
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
| | - Yangyang Qu
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Patrick Metze
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | | | - Steffen Just
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Alireza Abaei
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
| | - Volker Rasche
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
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76
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Li XM, Peng LQ, Shi R, Han PL, Yan WF, Yang ZG. Impact of gender on left ventricular deformation in patients with essential hypertension assessed by cardiac magnetic resonance tissue tracking. J Magn Reson Imaging 2021; 53:1710-1720. [PMID: 33470038 DOI: 10.1002/jmri.27500] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/18/2020] [Accepted: 12/18/2020] [Indexed: 02/05/2023] Open
Abstract
Left ventricular (LV) myocardial strain impairment has been demonstrated in hypertension despite normal LV ejection fraction (LVEF); however, limited data exist on any difference in results between genders. The aim of this study was to investigate the impact of gender on LV deformation in patients with essential hypertension. This was a cross-sectional study, in which 94 patients (47 men and 47 women) with essential hypertension and 62 age- and gender-matched controls (31 men and 31 women) were enrolled. A 3.0 T/two-dimensional balanced steady-state free precession cine, late gadolinium enhancement was used. The LV endocardial and epicardial contours were drawn by radiologists, then LV volumes, mass, function, and myocardial strain, including peak global radial (GRS), circumferential (GCS), and longitudinal strain (GLS) were automatically calculated. Chi-square test, Student's t-test, general linear model analysis, univariate linear regression analysis, stepwise multivariate linear regression analysis, and intraclass correlation coefficient analysis were performed. Women had significantly higher magnitudes of LV GRS, GCS, and GLS than men in both patients and controls (all p < 0.05). In the overall patients, LV GLS was significantly reduced compared with controls (p < 0.05), while GRS and GCS were preserved (p = 0.092 and 0.27, respectively). Compared with their counterpart controls, LV GRS, GCS, and GLS (all p < 0.05) were significantly reduced in hypertensive men, while only GLS (p < 0.05) was reduced in hypertensive women. Male gender and its interaction with hypertension were associated with higher LV mass and volume, decreased LV GRS, GCS, and GLS compared with hypertensive women. Multivariate analyses revealed that gender and LVEF were independently associated with GRS, GCS, and GLS (all p < 0.001) in hypertension. LV deformation is significantly reduced in hypertension, and gender may influence the response of LV deformation to hypertension, with men suffering more pronounced subclinical myocardial dysfunction. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Li-Qing Peng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Shi
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Pei-Lun Han
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
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77
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Kawel-Boehm N, Hetzel SJ, Ambale-Venkatesh B, Captur G, Francois CJ, Jerosch-Herold M, Salerno M, Teague SD, Valsangiacomo-Buechel E, van der Geest RJ, Bluemke DA. Reference ranges ("normal values") for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update. J Cardiovasc Magn Reson 2020; 22:87. [PMID: 33308262 PMCID: PMC7734766 DOI: 10.1186/s12968-020-00683-3] [Citation(s) in RCA: 338] [Impact Index Per Article: 67.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 10/26/2020] [Indexed: 01/06/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) enables assessment and quantification of morphological and functional parameters of the heart, including chamber size and function, diameters of the aorta and pulmonary arteries, flow and myocardial relaxation times. Knowledge of reference ranges ("normal values") for quantitative CMR is crucial to interpretation of results and to distinguish normal from disease. Compared to the previous version of this review published in 2015, we present updated and expanded reference values for morphological and functional CMR parameters of the cardiovascular system based on the peer-reviewed literature and current CMR techniques. Further, databases and references for deep learning methods are included.
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Affiliation(s)
- Nadine Kawel-Boehm
- Department of Radiology, Kantonsspital Graubuenden, Loestrasse 170, 7000, Chur, Switzerland
- Institute for Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, InselspitalBern, Switzerland
| | - Scott J Hetzel
- Department of Biostatistics and Medical Informatics, University of Wisconsin, 610 Walnut St, Madison, WI, 53726, USA
| | - Bharath Ambale-Venkatesh
- Department of Radiology, Johns Hopkins University, 600 N Wolfe Street, Baltimore, MD, 21287, USA
| | - Gabriella Captur
- MRC Unit of Lifelong Health and Ageing At UCL, 5-19 Torrington Place, Fitzrovia, London, WC1E 7HB, UK
- Inherited Heart Muscle Conditions Clinic, Royal Free Hospital NHS Foundation Trust, Hampstead, London, NW3 2QG, UK
| | - Christopher J Francois
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, USA
| | - Michael Jerosch-Herold
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Michael Salerno
- Cardiovascular Division, University of Virginia Health System, 1215 Lee Street, Charlottesville, VA, 22908, USA
| | - Shawn D Teague
- Department of Radiology, National Jewish Health, 1400 Jackson St, Denver, CO, 80206, USA
| | - Emanuela Valsangiacomo-Buechel
- Division of Paediatric Cardiology, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, USA.
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78
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Kihlberg J, Gupta V, Haraldsson H, Sigfridsson A, Sarvari SI, Ebbers T, Engvall JE. Clinical validation of three cardiovascular magnetic resonance techniques to measure strain and torsion in patients with suspected coronary artery disease. J Cardiovasc Magn Reson 2020; 22:83. [PMID: 33280612 PMCID: PMC7720468 DOI: 10.1186/s12968-020-00684-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 10/29/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Several cardiovascular magnetic resonance (CMR) techniques can measure myocardial strain and torsion with high accuracy. The purpose of this study was to compare displacement encoding with stimulated echoes (DENSE), tagging and feature tracking (FT) for measuring circumferential and radial myocardial strain and myocardial torsion in order to assess myocardial function and infarct scar burden both at a global and at a segmental level. METHOD 116 patients with a high likelihood of coronary artery disease (European SCORE > 15%) underwent CMR examination including cine images, tagging, DENSE and late gadolinium enhancement (LGE) in the short axis direction. In total, 97 patients had signs of myocardial disease and 19 had no abnormalities in terms of left ventricular (LV) wall mass index, LV ejection fraction, wall motion, LGE or a history of myocardial infarction. Thirty-four patients had myocardial infarct scar with a transmural LGE extent (transmurality) that exceeded 50% of the wall thickness in at least one segment. Global circumferential strain (GCS) and global radial strain (GRS) was analyzed using FT of cine loops, deformation of tag lines or DENSE displacement. RESULTS DENSE and tagging both showed high sensitivity (82% and 71%) at a specificity of 80% for the detection of segments with > 50% LGE transmurality, and receiver operating characteristics (ROC) analysis showed significantly higher area under the curve-values (AUC) for DENSE (0.87) than for tagging (0.83, p < 0.001) and FT (0.66, p = 0.003). GCS correlated with global LGE when determined with DENSE (r = 0.41), tagging (r = 0.37) and FT (r = 0.15). GRS had a low but significant negative correlation with LGE; DENSE r = - 0.10, FT r = - 0.07 and tagging r = - 0.16. Torsion from DENSE and tagging had a weak correlation (- 0.20 and - 0.22 respectively) with global LGE. CONCLUSION Circumferential strain from DENSE detected segments with > 50% scar with a higher AUC than strain determined from tagging and FT at a segmental level. GCS and torsion computed from DENSE and tagging showed similar correlation with global scar size, while when computed from FT, the correlation was lower.
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Affiliation(s)
- Johan Kihlberg
- Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
| | - Vikas Gupta
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Henrik Haraldsson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Andreas Sigfridsson
- Department of Clinical Physiology & Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, 17176, Stockholm, Sweden
| | - Sebastian I Sarvari
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, 0316, Oslo, Norway
| | - Tino Ebbers
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Jan E Engvall
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Lim C, Blaszczyk E, Riazy L, Wiesemann S, Schüler J, von Knobelsdorff-Brenkenhoff F, Schulz-Menger J. Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects-influence of segmentation and analysis software. Eur Radiol 2020; 31:3962-3972. [PMID: 33277669 PMCID: PMC8128822 DOI: 10.1007/s00330-020-07539-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 09/16/2020] [Accepted: 11/17/2020] [Indexed: 01/01/2023]
Abstract
Objectives Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults. Methods Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI42 and TomTec. Longitudinal and radialLong axis (LAX) strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radialShort axis (SAX) strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package. Results We screened healthy volunteers studied at 1.5 or 3.0 T and included 67 (age 44.3 ± 16.3 years, 31 females). Circumferential and radialSAX strain values were different between a full coverage approach vs. three short slices (− 17.6 ± 1.8% vs. − 19.2 ± 2.3% and 29.1 ± 4.8% vs. 34.6 ± 7.1%). Different analysis software calculated significantly different strain values. Within the same vendor, different field strengths (− 17.0 ± 2.1% at 1.5 T vs. − 17.0 ± 1.7% at 3 T, p = 0.845) did not influence the calculated global longitudinal strain (GLS), and were similar in gender (− 17.4 ± 2.0% in females vs. − 16.6 ± 1.8% in males, p = 0.098). Circumferential and radial strain were different in females and males (circumferential strain − 18.2 ± 1.7% vs. − 17.1 ± 1.8%, p = 0.029 and radial strain 30.7 ± 4.7% vs. 27.8 ± 4.6%, p = 0.047). Conclusions Myocardial deformation assessed by feature tracking depends on segmentation procedure and type of analysis software. CircumferentialSAX and radialSAX depend on the number of slices used for feature tracking analysis. As known from other imaging modalities, GLS seems to be the most stable parameter. During follow-up studies, standardized conditions should be warranted. Trial registration Retrospectively registered Key Points • Myocardial deformation assessed by feature tracking depends on the segmentation procedure. • Global myocardial strain values differ significantly among vendors. • Standardization in post-processing using CMR feature tracking is essential. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-020-07539-5.
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Affiliation(s)
- Carolin Lim
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Edyta Blaszczyk
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Leili Riazy
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany
- Berlin Ultrahigh Field Facility at the Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Stephanie Wiesemann
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Johannes Schüler
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
| | - Florian von Knobelsdorff-Brenkenhoff
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany
- Department of Cardiology, Clinic Agatharied, Ludwig-Maximilians - University München, Hausham, Germany
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité - Universitätsmedizin Berlin, Department of Internal Medicine and Cardiology and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany.
- DZHK (German Center for Cardiovascular Research), Partner Site, Berlin, Germany.
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Defining the Reference Range for Left Ventricular Strain in Healthy Patients by Cardiac MRI Measurement Techniques: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2020; 217:569-583. [PMID: 33084383 DOI: 10.2214/ajr.20.24264] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND. Echocardiography is the primary noninvasive technique for left ventricular (LV) strain measurement. MRI has potential advantages, although reference ranges and thresholds to differentiate normal from abnormal left ventricular global longitudinal strain (LVGLS), left ventricular global circumferential strain (LVGCS), and left ventricular global radial strain (LVGRS) are not yet established. OBJECTIVE. The purpose of our study was to determine the mean and lower limit of normal (LLN) of MRI-derived LV strain measurements in healthy patients and explore factors potentially influencing these measurements. EVIDENCE ACQUISITION. PubMed, Embase, and Cochrane Library databases were searched for studies published through January 1, 2020, that reported MRI-derived LV strain measurements in at least 30 healthy individuals. Mean and LLN measurements of LV strain were pooled using random-effects models overall and for studies stratified by measurement method (feature tracking [FT] or tagging). Additional subgroup and meta-regression analyses were performed. EVIDENCE SYNTHESIS. Twenty-three studies with a total of 1782 healthy subjects were included. Pooled means and LLNs for all studies were -18.6% (95% CI, -19.5% to -17.6%) and -13.3% (-13.9% to 12.7%) for LVGLS, -21.0% (-22.4% to -19.6%) and -15.6% (-17.0% to -14.3%) for LVGCS, and 38.7% (30.5-46.9%) and 20.6% (15.1-26.1%) for LVGRS. Pooled means and LLNs for LVGLS by strain measurement method were -19.4% (95% CI, -20.6% to -18.1%) and -13.1% (-14.2% to -12.0%) for FT and -15.6% (-16.2% to -15.1%) and -13.1% (-14.1% to -12.2%) for tagging. A later year of study publication, increasing patient age, and increasing body mass index were associated with more negative mean LVGLS values. An increasing LV end-diastolic volume index was associated with less negative mean LVGLS values. No factor was associated with LLN of LVGLS. CONCLUSION. We determined the pooled means and LLNs, with associated 95% CIs, for LV strain by cardiac MRI to define thresholds for normal, abnormal, and borderline strain in healthy patients. The method of strain measurement by MRI affected the mean LVGLS. No factor affected the LLN of LVGLS. CLINICAL IMPACT. This meta-analysis lays a foundation for clinical adoption of MRI-derived LV strain measurements, with management implications in both healthy patients and patients with various disease states.
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Rumindo GK, Ohayon J, Croisille P, Clarysse P. In vivo estimation of normal left ventricular stiffness and contractility based on routine cine MR acquisition. Med Eng Phys 2020; 85:16-26. [PMID: 33081960 DOI: 10.1016/j.medengphy.2020.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 07/03/2020] [Accepted: 09/10/2020] [Indexed: 10/23/2022]
Abstract
Post-myocardial infarction remodeling process is known to alter the mechanical properties of the heart. Biomechanical parameters, such as tissue stiffness and contractility, would be useful for clinicians to better assess the severity of the diseased heart. However, these parameters are difficult to obtain in the current clinical practice. In this paper, we estimated subject-specific in vivo myocardial stiffness and contractility from 21 healthy volunteers, based on left ventricle models constructed from data acquired from routine cardiac MR acquisition only. The subject-specific biomechanical parameters were quantified using an inverse finite-element modelling approach. The personalized models were evaluated against relevant clinical metrics extracted from the MR data, such as circumferential strain, wall thickness and fractional thickening. We obtained the ranges of healthy biomechanical indices of 1.60 ± 0.22 kPa for left ventricular stiffness and 95.13 ± 14.56 kPa for left ventricular contractility. These reference normal values can be used for future model-based investigation on the stiffness and contractility of ischemic myocardium.
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Affiliation(s)
- Gerardo Kenny Rumindo
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France
| | - Jacques Ohayon
- University Savoie Mont-Blanc, Polytech Annecy-Chambéry and Laboratory TIMC-IMAG, UGA, CNRS UMR 5525, Grenoble, France
| | - Pierre Croisille
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France
| | - Patrick Clarysse
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France.
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Five-Year Outcomes and Prognostic Value of Feature-Tracking Cardiovascular Magnetic Resonance in Patients Receiving Early Prereperfusion Metoprolol in Acute Myocardial Infarction. Am J Cardiol 2020; 133:39-47. [PMID: 32819681 DOI: 10.1016/j.amjcard.2020.07.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/20/2020] [Accepted: 07/20/2020] [Indexed: 12/11/2022]
Abstract
The aim of the present study was to investigate the long-term impact of early intravenous metoprolol in ST-segment elevation myocardial infarction (STEMI) patients in terms of left ventricular (LV) strain with feature-tracking cardiovascular magnetic resonance (CMR) and its association with prognosis. A total of 270 patients with first anterior STEMI enrolled in the randomized METOCARD-CNIC clinical trial, assigned to receive up to 15 mg intravenous metoprolol before primary percutaneous coronary intervention versus conventional STEMI therapy, were included. LV global circumferential (GCS) and longitudinal (GLS) strain were assessed with feature-tracking CMR at 1 week after STEMI in 215 patients. The occurrence of major adverse cardiac events (MACE) at 5-year follow-up was the primary end point. Among 270 patients enrolled, 17 of 139 patients assigned to metoprolol arm and 31 of 131 patients assigned to control arm experienced MACE (hazard ratio [HR] 0.500, 95% confidence interval [CI] 0.277 to 0.903; p = 0.022). Impaired LV GCS and GLS strain were significantly associated with increased occurrence of MACE (GCS: HR 1.208, 95% CI 1.076 to 1.356, p =0.001; GLS: HR 1.362, 95% CI 1.180 to 1.573, p < 0.001). On multivariable analysis, LV GLS provided incremental prognostic value over late gadolinium enhancement (LGE) and LV ejection fraction (LVEF) (LGE + LVEF chi-square = 12.865, LGE + LVEF + GLS chi-square = 18.459; p =0.012). Patients with GLS ≥-11.5% (above median value) who received early intravenous metoprolol were 64% less likely to experience MACE than their counterparts with same degree of GLS impairment (HR 0.356, 95% CI 0.129 to 0.979; p = 0.045). In conclusion, early intravenous metoprolol has a long-term beneficial prognostic effect, particularly in patients with severely impaired LV systolic function. LV GLS with feature-tracking CMR early after percutaneous coronary intervention offers incremental prognostic value over conventional CMR parameters in risk stratification of STEMI patients.
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Amzulescu MS, De Craene M, Langet H, Pasquet A, Vancraeynest D, Pouleur AC, Vanoverschelde JL, Gerber BL. Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. Eur Heart J Cardiovasc Imaging 2020; 20:605-619. [PMID: 30903139 PMCID: PMC6529912 DOI: 10.1093/ehjci/jez041] [Citation(s) in RCA: 324] [Impact Index Per Article: 64.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 03/07/2019] [Indexed: 01/01/2023] Open
Abstract
Myocardial tissue tracking imaging techniques have been developed for a more accurate evaluation of myocardial deformation (i.e. strain), with the potential to overcome the limitations of ejection fraction (EF) and to contribute, incremental to EF, to the diagnosis and prognosis in cardiac diseases. While most of the deformation imaging techniques are based on the similar principles of detecting and tracking specific patterns within an image, there are intra- and inter-imaging modality inconsistencies limiting the wide clinical applicability of strain. In this review, we aimed to describe the particularities of the echocardiographic and cardiac magnetic resonance deformation techniques, in order to understand the discrepancies in strain measurement, focusing on the potential sources of variation: related to the software used to analyse the data, to the different physics of image acquisition and the different principles of 2D vs. 3D approaches. As strain measurements are not interchangeable, it is highly desirable to work with validated strain assessment tools, in order to derive information from evidence-based data. There is, however, a lack of solid validation of the current tissue tracking techniques, as only a few of the commercial deformation imaging softwares have been properly investigated. We have, therefore, addressed in this review the neglected issue of suboptimal validation of tissue tracking techniques, in order to advocate for this matter.
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Affiliation(s)
- M S Amzulescu
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - M De Craene
- Philips Research, Medical Imaging (Medisys), 33 rue de Verdun, CS60055, Suresnes Cedex, France
| | - H Langet
- Clinical Research Board, Philips Research, 33 rue de Verdun, CS60055, Suresnes Cedex, France
| | - A Pasquet
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - D Vancraeynest
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - A C Pouleur
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - J L Vanoverschelde
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - B L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
- Corresponding author. Tel: +32 (2) 764 2803; Fax: +32 (2) 764 8980. E-mail:
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84
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Maceira AM, Guardiola S, Ripoll C, Cosin-Sales J, Belloch V, Salazar J. Detection of subclinical myocardial dysfunction in cocaine addicts with feature tracking cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2020; 22:70. [PMID: 32981526 PMCID: PMC7520970 DOI: 10.1186/s12968-020-00663-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cocaine is an addictive, sympathomimetic drug with potentially lethal effects. We have previously shown with cardiovascular magnetic resonance (CMR) the presence of cardiovascular involvement in a significant percentage of consecutive asymptomatic cocaine addicts. CMR with feature-tracking analysis (CMR-FT) allows for the quantification of myocardial deformation which may detect preclinical involvement. Therefore, we aimed to assess the effects of cocaine on the left ventricular myocardium in a group of asymptomatic cocaine users with CMR-FT. METHODS In a cohort of asymptomatic cocaine addicts (CA) who had been submitted to CMR at 3 T, we used CMR-FT to measure strain, strain rate and dyssynchrony index in CA with mildly decreased left ventricular ejection fraction (CA-LVEFd) and in CA with preserved ejection fraction (CA-LVEFp). We also measured these parameters in 30 age-matched healthy subjects. RESULTS There were no differences according to age. Significant differences were seen in global longitudinal, radial and circumferential strain, in global longitudinal and radial strain rate and in radial and circumferential dyssynchrony index among the groups, with the lowest values in CA-LVEFd and intermediate values in CA-LVEFp. Longitudinal, radial and circumferential strain values were significantly lower in CA-LVEFp with respect to controls. CONCLUSIONS CA-LVEFp show decreased systolic strain and strain rate values, with intermediate values between healthy controls and CA-LVEFd. Signs suggestive of dyssynchrony were also detected. In CA, CMR-FT based strain analysis can detect early subclinical myocardial involvement.
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Affiliation(s)
- Alicia M. Maceira
- Cardiovascular Unit, Ascires Biomedical Grup, C/ Marques de San Juan Nº6, 46015, Valencia, Spain
- Department of Medicine, Health Sciences School, CEU-Cardenal Herrera University, C/ Santiago Ramón y Cajal, s/n, 46115 Alfara del Patriarca, Moncada-Valencia, Spain
| | - Sara Guardiola
- Cardiovascular Unit, Ascires Biomedical Grup, C/ Marques de San Juan Nº6, 46015, Valencia, Spain
| | - Carmen Ripoll
- Addictions Treatment Unit of Campanar, La Fe Hospital, Valencia, Spain
| | - Juan Cosin-Sales
- Department of Cardiology, Hospital Arnau de Vilanova, Valencia, Spain
| | - Vicente Belloch
- Cardiovascular Unit, Ascires Biomedical Grup, C/ Marques de San Juan Nº6, 46015, Valencia, Spain
| | - Jose Salazar
- Department of Psychiatry, Hospital General Universitario, Valencia, Spain
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85
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Chen X, Hu H, Pan J, Shu J, Hu Y, Yu R. Performance of cardiovascular magnetic resonance strain in patients with acute myocarditis. Cardiovasc Diagn Ther 2020; 10:725-737. [PMID: 32968629 DOI: 10.21037/cdt-20-221] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Background To explore the value of myocardial strain derived from cardiac magnetic resonance (CMR) feature tracking in evaluating left ventricular function in acute myocarditis and its relationship with the left ventricular ejection fraction (LVEF) and late gadolinium enhancement (LGE). Methods A total of 115 cases of clinically suspected acute myocarditis, confirmed by CMR, were collected from two centers and divided into groups with reduced and preserved ejection fraction (EF). Fifty normal volunteers were enrolled as the control group. The myocardial strain analysis was based on feature tracking imaging (FTI). Results Compared with the control group, the group with myocarditis and preserved EF showed an increased peak ejecting rate (PER), end diastolic volume (EDV), end systolic volume (ESV), stroke volume (SV), EDV index (EDVi), ESV index (ESVi), SV index (SVi) and decreased strain indices. In patient with myocarditis, the group with reduced EF showed increased EDV, ESV, LGE, LGE% and decreased strain indices compared to the group with preserved EF. EF showed good correlation with LGE, PSC, PSSRC (r>0.6). Peak strain circumferential (PSC) showed good correlation with LGE (r=0.62). The AUC of PSC was optimal to detect early left ventricular dysfunction in myocarditis patient with preserved EF using a cutoff of -19.72% (sensitivity of 68% and specificity of 88%). Conclusions Myocardial strain analysis using CMR FTI can provide information about early ventricular dysfunction in myocarditis patient with preserved EF. PSC showed best diagnostic performance, and correlated with LGE.
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Affiliation(s)
- Xiaorong Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Medical Imaging, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiangfeng Pan
- Department of Medical Imaging, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Jiner Shu
- Department of Medical Imaging, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Yi Hu
- Department of Medical Imaging, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Risheng Yu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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86
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Strain analysis using feature tracking cardiac magnetic resonance (FT-CMR) in the assessment of myocardial viability in chronic ischemic patients. Int J Cardiovasc Imaging 2020; 37:587-596. [PMID: 32909145 DOI: 10.1007/s10554-020-02018-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 09/04/2020] [Indexed: 10/23/2022]
Abstract
The purpose of this study is to test the capability of a commercially available feature tracking-cardiac magnetic resonance (FT-CMR) strain analysis software module in differentiating between viable and non-viable myocardium in chronic ischemic patients. Thirty chronic ischemic patients and 10 healthy volunteers were enrolled. Cine images were used for peak circumferential and radial strains quantification using dedicated FT-CMR software. Global strain was compared between patients and controls. In patients, segmental strain was compared in viable and non-viable myocardium determined by late gadolinium enhancement (LGE); and in segments with wall abnormalities. Among 480 myocardial segments analyzed in patients, 76 segments were non-viable on LGE. The mean left ventricular ejection fraction (LVEF) of the patients (87% males, mean age 55 ± 12 years) was 40 ± 12% vs. 61 ± 5% for the controls (80% males, mean age 39 ± 11 years). Peak global circumferential strain (GCS) and global radial strain (GRS) were significantly impaired in patients compared to controls (-13.89 ± 4.12% vs. -19.84 ± 1.47%), p < 0.001 and (23.11 ± 6.59% vs. 31.72 ± 5.52%), p = 0.001. Segmental circumferential strain (SCS) and segmental radial strain (SRS) were significantly impaired in non-viable compared to viable segments (-9.47 ± 7.26% vs. -14.72 ± 7.5%), p < 0.001 and (15.67 ± 12.11% vs. 24.51 ± 16.22%), p < 0.001. Cut-off points of -9.36% for the SCS (AUC = 0.7, 95% CI = 0.63-0.77) and 19.5% for the SRS (AUC = 0.67, 95%CI = 0.61-0.73) were attained above which the segment is considered viable.SCS was able to discriminate between normokinetic, hypokinetic and akinetic segments (mean = 27.6 ± 17.13%, 18.66 ± 12.88% and 15.24 ± 10.70% respectively, p < 0.001). Circumferential and radial segmental strain analysis by FT-CMR was able to discriminate between viable and non-viable segments of the myocardium defined by LGE and between normokinetic, hypokinetic and akinetic segments, using routinely acquired cine images, and thus can provide a more objective metric for risk stratification in chronic ischemic patients.
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87
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Liu J, Li Y, Cui Y, Cao Y, Yao S, Zhou X, Wetzl J, Zeng W, Shi H. Quantification of myocardial strain in patients with isolated left ventricular non-compaction and healthy subjects using deformable registration algorithm: comparison with feature tracking. BMC Cardiovasc Disord 2020; 20:400. [PMID: 32883201 PMCID: PMC7469314 DOI: 10.1186/s12872-020-01668-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 08/13/2020] [Indexed: 11/20/2022] Open
Abstract
Background Systolic dysfunction of the left ventricle is frequently associated with isolated left ventricular non-compaction (iLVNC). Clinically, the ejection fraction (EF) is the primary index of cardiac function. However, changes of EF usually occur later in the disease course. Feature tracking (FT) and deformable registration algorithm (DRA) have become appealing techniques for myocardial strain assessment. Methods Thirty patients with iLVNC (36.7 ± 13.3 years old) and fifty healthy volunteers (42.3 ± 13.6 years old) underwent cardiovascular magnetic resonance (CMR) examination on a 1.5 T MR scanner. Strain values in the radial, circumferential, longitudinal directions were analyzed based on the short-axis and long-axis cine images using FT and DRA methods. The iLVNC patients were further divided based on the ejection fraction, into EF ≥ 50% group (n = 11) and EF < 50% group (n = 19). Receiver-operating-characteristic (ROC) analysis was performed to assess the diagnostic performance of the global strain values. Intraclass correlation coefficient (ICC) analysis was used to evaluate the intra- and inter-observer agreement. Results Global radial strain (GRS) was statistically lower in EF ≥ 50% group compared with control group [GRS (DRA)/% vs. controls: 34.6 ± 7.0 vs. 37.6 ± 7.2, P < 0.001; GRS (FT)/% vs. controls: 37.4 ± 13.2 vs. 56.9 ± 16.4, P < 0.01]. ROC analysis of global strain values derived from DRA and FT demonstrated high area under curve (range, 0.743–0.854). DRA showed excellent intra- and inter-observer agreement of global strain in both iLVNC patients (ICC: 0.995–0.999) and normal controls (ICC: 0.934–0.996). While for FT analysis, global radial strain of normal controls showed moderate intra-observer (ICC: 0.509) and poor inter-observer agreement (ICC: 0.394). Conclusions In patients with iLVNC, DRA can be used to quantitatively analyze the strain of left ventricle, with global radial strain being an earlier marker of LV systolic dysfunction. DRA has better reproducibility in evaluating both the global and segmental strain.
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Affiliation(s)
- Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yumin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yue Cui
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yukun Cao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Sheng Yao
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | | | - Wenjuan Zeng
- Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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88
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Left ventricular strain and fibrosis in adults with repaired tetralogy of Fallot: A case-control study. Int J Cardiol 2020; 323:34-39. [PMID: 32882293 DOI: 10.1016/j.ijcard.2020.08.092] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/26/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Left ventricular (LV) systolic dysfunction and myocardial fibrosis have prognostic implications in repaired tetralogy of Fallot (rTOF), but their relationship with myocardial strain is not well understood. We evaluated systolic strain and fibrosis (extracellular volume fraction, ECV) of the left ventricle (LV) using feature tracking with magnetic resonance and determine their association with each other and clinical outcome. METHOD Adults with rTOF and age-matched controls underwent CMR to measure LV-ECV. Feature-tracking was used to quantify radial, circumferential, and longitudinal strain in both 2 and 3 dimensions. Clinical events (death, arrhythmia and heart-failure hospitalization) were obtained through chart review. Associations between strain, ECV and clinical events were explored. RESULTS 48 rTOF subjects (age 40.5 ± 14.3, 42% female) and 20 healthy controls were included. Both LV 2D and 3D global circumferential strain (GCS) and global longitudinal strain (GLS) were lower in rTOF subjects (p ≤0.01 for all). There was no association between strain and LV-ECV. Strain parameters correlated with ventricular volumes and function. After a median follow-up of 8.5 years (range 1-10.9 years) there were 5 deaths, 6 hospitalizations and 9 new arrhythmias. By multivariate Cox-regression, GLS was an independent predictor of both hospitalization and death, whereas LV-ECV was an independent predictor of arrhythmia. CONCLUSION While both LV strain abnormalities and fibrosis are present in rTOF, they are associated with different types of clinical outcome, and not to each other. The findings suggest that these measures reflect different long-term adverse adaptations to abnormal hemodynamics.
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Valente F, Gutierrez L, Rodríguez-Eyras L, Fernandez R, Montano M, Sao-Aviles A, Pineda V, Guala A, Cuéllar H, Evangelista A, Rodríguez-Palomares J. Cardiac magnetic resonance longitudinal strain analysis in acute ST-segment elevation myocardial infarction: A comparison with speckle-tracking echocardiography. IJC HEART & VASCULATURE 2020; 29:100560. [PMID: 32566723 PMCID: PMC7298545 DOI: 10.1016/j.ijcha.2020.100560] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 06/01/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Strain analysis with speckle-tracking echocardiography (STE) is considered superior to ejection fraction for ventricular function assessment in different clinical scenarios. Feature tracking (FT) permits cardiac magnetic resonance (CMR) strain analysis in routinely acquired cine images. This study evaluated the feasibility of CMR-FT and its agreement with STE in patients with acute ST-segment elevation myocardial infarction (STEMI). METHODS An echocardiogram and CMR were performed in 128 patients who underwent primary percutaneous revascularisation after a STEMI. Adequate strain analysis was obtained by both techniques in 98 patients and peak systolic longitudinal strain (LS) was assessed with STE and CMR-FT. RESULTS Of 1568 myocardial segments, 97.2% were correctly tracked with STE and 97.7% with CMR-FT. For global LS, STE showed a mean of -14.8 ± 3.3% and CMR-FT -13.7 ± 3.0%, with good agreement between modalities [intraclass correlation coefficient (ICC) 0.826; bias -1.09%; limits of agreement (LOA) ± 4.2%]. On the other hand, segmental LS agreement was only moderate, with an ICC of 0.678 (bias -1.14%; LOA ± 11.76%) and the ICC ranged from 0.538 at the basal antero-lateral segment to 0.815 at the apical lateral segment. Finally, both STE and CMR-FT showed excellent intra- and inter-observer reproducibility (ICC > 0.9). CONCLUSIONS CMR-FT provides LS with similar feasibility to STE and both techniques showed good agreement for global LS, although agreement at segmental level was only moderate. CMR-FT showed excellent reproducibility, strengthening its robustness and potential for both research and clinical applications.
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Affiliation(s)
- Filipa Valente
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Laura Gutierrez
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | | | - Rúben Fernandez
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Maria Montano
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Augusto Sao-Aviles
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Victor Pineda
- Radiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Andrea Guala
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Hug Cuéllar
- Radiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Arturo Evangelista
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
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Abstract
BACKGROUND Cardiac strain represents an imaging biomarker of contractile dysfunction. PURPOSE The purpose of this study was to investigate the diagnostic value of cardiac strain obtained by feature-tracking cardiac magnetic resonance (MR) in acute myocarditis. MATERIALS AND METHODS Cardiac MR examinations of 46 patients with myocarditis and preserved ejection fraction at acute phase and follow-up were analyzed along with cardiac MR of 46 healthy age- and sex-matched controls. Global circumferential strain and global radial strain were calculated for each examination, along with myocardial edema and late gadolinium enhancement, and left ventricle functional parameters, through manual contouring of the myocardium. Correlations were assessed using Spearman ρ. Wilcoxon and Mann-Whitney U test were used to assess differences between data. Receiver operating characteristics curves and reproducibility were obtained to assess the diagnostic role of strain parameters. RESULTS Global circumferential strain was significantly lower in controls (median, -20.4%; interquartile range [IQR], -23.4% to -18.7%) than patients in acute phase (-18.4%; IQR, -21.0% to -16.1%; P = 0.001) or at follow-up (-19.2%; IQR, -21.5% to -16.1%; P = 0.020). Global radial strain was significantly higher in controls (82.4%; IQR, 62.8%-104.9%) than in patients during the acute phase (65.8%; IQR, 52.9%-79.5%; P = 0.001). Correlations were found between global circumferential strain and global radial strain in all groups (acute, ρ = -0.580, P < 0.001; follow-up, ρ = -0.399, P = 0.006; controls, ρ = -0.609, P < 0.001), and between global circumferential strain and late gadolinium enhancement only in myocarditis patients (acute, ρ = 0.035, P = 0.024; follow-up, ρ = 0.307, P = 0.038). CONCLUSIONS Cardiac strain could potentially have a role in detecting acute myocarditis in low-risk acute myocarditis patients where cardiac MR is the main diagnosing technique.
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91
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Cau R, Bassareo P, Cherchi V, Palmisano V, Suri JS, Porcu M, Balestrieri A, Pontone G, Saba L. Early diagnosis of chemotherapy-induced cardiotoxicity by cardiac MRI. Eur J Radiol 2020; 130:109158. [PMID: 32652404 DOI: 10.1016/j.ejrad.2020.109158] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/29/2020] [Indexed: 01/06/2023]
Abstract
Survival rate in cancer patients has improved over the course of the years. In cancer survivors, cardiovascular disease is the second leading cause of mortality and early detection and serial monitoring of cardiotoxicity are key factors towards the improvement of patients' outcomes. This review article will provide an overview of the existing literature regarding the tools that MRI can offer in the early diagnosis of myocardial damage.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy
| | - Pierpaolo Bassareo
- University College of Dublin, Mater Misericordiae University Hospital and Our Lady's Children's Hospital, Crumlin, Dublin, Ireland
| | - Valeria Cherchi
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy
| | - Vitanio Palmisano
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy; Radiology Department, Miulli Hospital, Acquaviva delle Fonti, Italy Strada Prov. 127 Acquaviva - Santeramo Km. 4,100, 70021, Acquaviva delle Fonti, BA, Italy
| | - Jasjit S Suri
- Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, 95661, United States
| | - Michele Porcu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy
| | - Antonella Balestrieri
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari, 09045, Italy.
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92
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Yang L, Zhang L, Cao S, Gao C, Xu H, Song T, Zhang X, Wang K. Advanced myocardial characterization in hypertrophic cardiomyopathy: feasibility of CMR-based feature tracking strain analysis in a case-control study. Eur Radiol 2020; 30:6118-6128. [PMID: 32588208 DOI: 10.1007/s00330-020-06922-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 12/29/2019] [Accepted: 04/28/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVES This study aimed to evaluate the feasibility and reproducibility of using cardiovascular magnetic resonance feature tracking (CMR-FT) for analysis of bi-ventricular strain and strain rate (SR) in hypertrophic cardiomyopathy (HCM) patients as well as to explore the correlation between right ventricular (RV) and left ventricular (LV) deformation. METHODS A total of 60 HCM patients and 48 controls were studied. Global and segmental peak values of bi-ventricular longitudinal, circumferential, radial strain, and systolic SR were analyzed. Pearson analysis was performed to investigate the correlation of RV and LV deformation. Intra-observer and inter-observer reproducibility were also assessed. RESULTS LV mass in the HCM group was significantly higher than that in the control group. LV end-systolic and end-diastolic volume and RV end-systolic and end-diastolic volume in the HCM group were all significantly lower than the correlated parameters in the control group (p < 0.001, respectively), whereas no statistical difference was found in ejection fraction (p > 0.05). Global longitudinal strain (GLS), global longitudinal strain rate (GLSR), global circumferential strain (GCS), global circumferential strain rate (GCSR), global radial strain (GRS), and global radial strain rate (GRSR) of the LV and RV were all significantly lower than the control group, and segmental strain and SR were also true (p < 0.001, respectively). Bi-ventricular strain and SR measurements were highly reproducible at both intra- and inter-observer levels. Additionally, Pearson analysis showed RV GCS, GLS, and GRS positively correlated with LV GCS, GLS, and GRS (r = 0.713, p < 0.001; r = 0.728, p < 0.001; r = 0.730, p < 0.001, respectively). CONCLUSIONS CMR-FT is a promising approach to analyze impairment of global and segmental myocardium deformation in HCM patients non-invasively and quantitatively. KEY POINTS • CMR-FT allows for advanced myocardial characterization with high reproducibility. • As compared with controls, HCM patients have significant differences in CMR-FT strain analysis while ejection fraction was similar. • CMR-FT may serve as an early biomarker of HCM in subjects at risk.
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Affiliation(s)
- Liping Yang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China
| | - Lingbo Zhang
- Head-Neck and Oral Department, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shaodong Cao
- Medical Imaging Department, The 4th Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Gao
- Medical Imaging Department, The 4th Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hanshan Xu
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China
| | - Tiantian Song
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xiushi Zhang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China. .,Medical Imaging Department, Harbin Medical University Cancer Hospital, Harbin, China.
| | - Kezheng Wang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
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93
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Yoshida K, Tanabe Y, Kido T, Kurata A, Uraoka D, Kinoshita M, Uetani T, Nishimura K, Inoue K, Ikeda S, Yamaguchi O, Mochizuki T. Characteristics of the left ventricular three-dimensional maximum principal strain using cardiac computed tomography: reference values from subjects with normal cardiac function. Eur Radiol 2020; 30:6109-6117. [PMID: 32556462 DOI: 10.1007/s00330-020-07001-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/15/2020] [Accepted: 06/03/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVES This study evaluated the characteristics of left ventricular maximum principal strain (LV-MPS) using cardiac CT in subjects with normal LV function. METHODS Of 973 subjects who underwent retrospective electrocardiogram-gated cardiac CT using a third-generation dual-source CT without beta-blocker administration, 31 subjects with preserved LV ejection fraction ≥ 55% assessed by echocardiography without coronary artery stenosis and cardiac pathology were retrospectively identified. CT images were reconstructed every 5% (0-95%) of the RR interval. LV-MPS and the time to peak (TTP) were analyzed using the 16-segment model and compared among three levels (base, mid, and apex) and among four regions (anterior, septum, inferior, and lateral) using the Steel-Dwass test. The intra- and inter-observer reproducibilities for LV-MPS were calculated using intraclass correlation coefficients (ICCs). RESULTS The intra- and inter-observer ICCs (95% confidence interval) for peak LV-MPS were 0.96 (0.94-0.97) and 0.94 (0.92-0.96), respectively. The global peak LV-MPS (median, inter-quantile range) was 0.59 (0.55-0.72). The regional LV-MPS significantly increased in the order of the basal (0.54, 0.49-0.59), mid-LV (0.57, 0.53-0.65), and apex (0.68, 0.60-0.84) (p < 0.05, in each), and was significantly higher in the lateral wall (0.66, 0.60-0.77), while that in the septal region (0.47, 0.44-0.54) was the lowest among the four LV regions (all p < 0.05). No significant difference in TTP was seen among the myocardial levels and regions. CONCLUSION CT-derived LV-MPS is reproducible and quantitatively represents synchronized myocardial contraction with heterogeneous values in subjects with normal LV function. KEY POINTS • CT-derived left ventricular maximum principal strain analysis allows highly reproducible quantitative assessments of left ventricular myocardial contraction. • In subjects with normal cardiac function, the peak value of CT-derived left ventricular maximum principal strain is the highest in the apical level and in the lateral wall and the lowest in the septum. • The regional peak left ventricular maximum principal strain shows intra-ventricular heterogeneity on a per-patient basis, but myocardial contraction is globally synchronized in subjects with normal cardiac function seen on cardiac CT.
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Affiliation(s)
- Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan.
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Akira Kurata
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Daichi Uraoka
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Masaki Kinoshita
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Teruyoshi Uetani
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Kazuhisa Nishimura
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Katsuji Inoue
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Shuntaro Ikeda
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Osamu Yamaguchi
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Teruhito Mochizuki
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
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94
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Podlesnikar T, Pizarro G, Fernández-Jiménez R, Montero-Cabezas JM, Greif N, Sánchez-González J, Bucciarelli-Ducci C, Marsan NA, Fras Z, Bax JJ, Fuster V, Ibáñez B, Delgado V. Left ventricular functional recovery of infarcted and remote myocardium after ST-segment elevation myocardial infarction (METOCARD-CNIC randomized clinical trial substudy). J Cardiovasc Magn Reson 2020; 22:44. [PMID: 32522198 PMCID: PMC7288440 DOI: 10.1186/s12968-020-00638-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 05/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We aimed to evaluate the effect of early intravenous metoprolol treatment, microvascular obstruction (MVO), intramyocardial hemorrhage (IMH) and adverse left ventricular (LV) remodeling on the evolution of infarct and remote zone circumferential strain after acute anterior ST-segment elevation myocardial infarction (STEMI) with feature-tracking cardiovascular magnetic resonance (CMR). METHODS A total of 191 patients with acute anterior STEMI enrolled in the METOCARD-CNIC randomized clinical trial were evaluated. LV infarct zone and remote zone circumferential strain were measured with feature-tracking CMR at 1 week and 6 months after STEMI. RESULTS In the overall population, the infarct zone circumferential strain significantly improved from 1 week to 6 months after STEMI (- 8.6 ± 9.0% to - 14.5 ± 8.0%; P < 0.001), while no changes in the remote zone strain were observed (- 19.5 ± 5.9% to - 19.2 ± 3.9%; P = 0.466). Patients who received early intravenous metoprolol had significantly more preserved infarct zone circumferential strain compared to the controls at 1 week (P = 0.038) and at 6 months (P = 0.033) after STEMI, while no differences in remote zone strain were observed. The infarct zone circumferential strain was significantly impaired in patients with MVO and IMH compared to those without (P < 0.001 at 1 week and 6 months), however it improved between both time points regardless of the presence of MVO or IMH (P < 0.001). In patients who developed adverse LV remodeling (defined as ≥ 20% increase in LV end-diastolic volume) remote zone circumferential strain worsened between 1 week and 6 months after STEMI (P = 0.036), while in the absence of adverse LV remodeling no significant changes in remote zone strain were observed. CONCLUSIONS Regional LV circumferential strain with feature-tracking CMR allowed comprehensive evaluation of the sequelae of an acute STEMI treated with primary percutaneous coronary intervention and demonstrated long-lasting cardioprotective effects of early intravenous metoprolol. TRIAL REGISTRATION ClinicalTrials.gov, NCT01311700. Registered 8 March 2011 - Retrospectively registered.
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Affiliation(s)
- Tomaž Podlesnikar
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
- Department of Cardiac Surgery, University Medical Centre Maribor, Maribor, Slovenia
- Internal Medicine Clinic, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Gonzalo Pizarro
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- CIBER de enfermedades CardioVasculares (CIBERCV), Madrid, Spain
- Ruber Juan Bravo Hospital Universidad Europea, Madrid, Spain
| | - Rodrigo Fernández-Jiménez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- CIBER de enfermedades CardioVasculares (CIBERCV), Madrid, Spain
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Jose M Montero-Cabezas
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Nina Greif
- Faculty of Medicine University of Maribor, Maribor, Slovenia
| | | | - Chiara Bucciarelli-Ducci
- Bristol Heart Institute, Bristol NIHR Cardiovascular Research Centre, University of Bristol and University Hospitals Bristol NHS Trust, Bristol, UK
| | - Nina Ajmone Marsan
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Zlatko Fras
- Internal Medicine Clinic, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Valentin Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Borja Ibáñez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- CIBER de enfermedades CardioVasculares (CIBERCV), Madrid, Spain
- IIS-Fundación Jiménez Díaz University Hospital, Madrid, Spain
| | - Victoria Delgado
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands.
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95
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Li X, Li J, Lin L, Shen K, Tian Z, Sun J, Zhang C, An J, Jin Z, Vliegenthart R, Selvanayagam JB, Wang Y. Left and right ventricular myocardial deformation and late gadolinium enhancement: incremental prognostic value in amyloid light-chain amyloidosis. Cardiovasc Diagn Ther 2020; 10:470-480. [PMID: 32695626 DOI: 10.21037/cdt-20-181] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background Previous cardiac magnetic resonance (CMR) studies have shown that both late gadolinium enhancement (LGE) and left ventricular (LV) strain have prognostic value in amyloid light-chain (AL) amyloidosis, but the right ventricular (RV) strain has not yet been studied. We aim to determine the incremental prognostic value of LV and RV LGE and strain in AL amyloidosis. Methods This prospective study recruited 87 patients (age, 56.9±9.1 years; M/F, 56/31) and 20 healthy subjects (age, 52.7±8.1 years; M/F, 11/9) who underwent CMR. The LV LGE was classified into no, patchy and global groups. The RV LGE was classified into negative and positive groups. Myocardial deformation was measured using a dedicated software. Follow-up was performed for all-cause mortality using Cox proportional hazards regression and Kaplan-Meier curves. Results During a median follow-up of 21 months, 34 deaths occurred. Presence of LV LGE [HR 2.44, 95% confidence interval (CI), 1.10-5.45, P=0.029] and global longitudinal strain (GLS) (HR 1.13 per 1% absolute decrease, 95% CI, 1.02-1.25, P=0.025) were independent LV predictors. RV LGE (HR 4.07, 95% CI, 1.09-15.24, P=0.037) and GLS (HR 1.10 per 1% absolute decrease, 95% CI, 1.00-1.21, P=0.047) were independent RV predictors. Complementary to LV LGE, LV GLS impairment or RV LGE further reduced survival (both log rank P<0.001). Conclusions This study confirms the incremental prognostic value of LV GLS and RV LGE in AL amyloidosis, which refines the conventional risk evaluation based on LV LGE. GLS based on non-contrast-enhanced CMR are promising new predictors.
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Affiliation(s)
- Xiao Li
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian Li
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Lu Lin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Kaini Shen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhuang Tian
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian Sun
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Congli Zhang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd., Siemens MRI Center, Hi-Tech Industrial Park, Shenzhen, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Joseph B Selvanayagam
- Department of Cardiovascular Medicine, Flinders University, Flinders Medical Centre, Adelaide, SA, Australia
| | - Yining Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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96
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Nazir SA, Shetye AM, Khan JN, Singh A, Arnold JR, Squire I, McCann GP. Inter-study repeatability of circumferential strain and diastolic strain rate by CMR tagging, feature tracking and tissue tracking in ST-segment elevation myocardial infarction. Int J Cardiovasc Imaging 2020; 36:1133-1146. [PMID: 32152811 PMCID: PMC7228913 DOI: 10.1007/s10554-020-01806-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 02/24/2020] [Indexed: 02/07/2023]
Abstract
Strain assessment allows accurate evaluation of myocardial function and mechanics in ST-segment elevation myocardial infarction (STEMI). Strain using cardiovascular magnetic resonance (CMR) has traditionally been assessed with tagging but limitations of this technique have led to more widespread use of alternative methods, which may be more robust. We compared the inter-study repeatability of circumferential global peak-systolic strain (Ecc) and peak-early diastolic strain rate (PEDSR) derived by tagging with values obtained using novel cine-based software: Feature Tracking (FT) (TomTec, Germany) and Tissue Tracking (TT) (Circle cvi42, Canada) in patients following STEMI. Twenty male patients (mean age 56 ± 10 years, mean infarct size 13.7 ± 7.1% of left ventricular mass) were randomised to undergo CMR 1-5 days post-STEMI at 1.5 T or 3.0 T, repeated after ten minutes at the same field strength. Ecc and PEDSR were assessed using tagging, FT and TT. Inter-study repeatability was evaluated using Bland-Altman analyses, coefficients of variation (CoV) and intra-class correlation coefficient (ICC). Ecc (%) was significantly lower with tagging than with FT or TT at 1.5 T (- 9.5 ± 3.3 vs. - 17.5 ± 3.8 vs. -15.5 ± 5.2, respectively, p < 0.001) and 3.0 T (- 13.1 ± 1.8 vs. - 19.4 ± 2.9 vs. - 17.3 ± 2.1, respectively, p = 0.001). This was similar for PEDSR (.s-1): 1.5 T (0.6 ± 0.2 vs. 1.5 ± 0.4 vs. 1.0 ± 0.4, for tagging, FT and TT respectively, p < 0.001) and 3.0 T (0.6 ± 0.2 vs. 1.5 ± 0.3 vs. 0.9 ± 0.3, respectively, p < 0.001). Inter-study repeatability for Ecc at 1.5 T was good for tagging and excellent for FT and TT: CoV 16.7%, 6.38%, and 8.65%, respectively. Repeatability for Ecc at 3.0 T was good for all three techniques: CoV 14.4%, 11.2%, and 13.0%, respectively. However, repeatability of PEDSR was generally lower than that for Ecc at 1.5 T (CoV 15.1%, 13.1%, and 34.0% for tagging, FT and TT, respectively) and 3.0 T (CoV 23.0%, 18.6%, and 26.2%, respectively). Following STEMI, Ecc and PEDSR are higher when measured with FT and TT than with tagging. Inter-study repeatability of Ecc is good for tagging, excellent for FT and TT at 1.5 T, and good for all three methods at 3.0 T. The repeatability of PEDSR is good to moderate at 1.5 T and moderate at 3.0 T. Cine-based methods to assess Ecc following STEMI may be preferable to tagging.
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Affiliation(s)
- Sheraz A. Nazir
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Abhishek M. Shetye
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Jamal N. Khan
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Anvesha Singh
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Jayanth R. Arnold
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Iain Squire
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
| | - Gerry P. McCann
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health for Research (NIHR) Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QF UK
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97
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Burrage MK, Ferreira VM. The use of cardiovascular magnetic resonance as an early non-invasive biomarker for cardiotoxicity in cardio-oncology. Cardiovasc Diagn Ther 2020; 10:610-624. [PMID: 32695641 DOI: 10.21037/cdt-20-165] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Contemporary cancer therapy has resulted in significant survival gains for patients. However, many current and emerging cancer therapies have an associated risk of cardiotoxicity, either acutely or later in life. Regular cardiac screening and surveillance is recommended for patients undergoing treatment for cancer, with emphasis on the early detection of cardiotoxicity before irreversible complications develop. Cardiovascular magnetic resonance imaging is able to accurately assess cardiac structure, function, and perform advanced myocardial tissue characterisation, including perfusion, features which may facilitate the diagnosis and management of cardiotoxicity in cancer survivors. This review outlines the current standards for the diagnosis and screening of cardiotoxicity, with particular focus on current and future applications of cardiovascular magnetic resonance imaging.
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Affiliation(s)
- Matthew K Burrage
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Vanessa M Ferreira
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
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98
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Feature-tracking-based strain analysis - a comparison of tracking algorithms. Pol J Radiol 2020; 85:e97-e103. [PMID: 32467743 PMCID: PMC7247018 DOI: 10.5114/pjr.2020.93610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 01/30/2020] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Optical flow feature-tracking (FT) strain assessment is increasingly being employed scientifically and clinically. Several software packages, employing different algorithms, enable computation of FT-derived strains. The aim of this study is to investigate the impact of the underlying algorithm on the validity and robustness of FT-derived strain results. MATERIAL AND METHODS CSPAMM and SSFP cine sequences were acquired in 30 subjects (15 patients with aortic stenosis and associated secondary hypertrophic cardiomyopathy, and 15 controls) in identical midventricular short-axis locations. Global peak systolic circumferential strain (PSCS) was calculated using tagging and feature-tracking software with different algorithms (non-rigid, elastic image registration, and blood myocardial border tracing). Intermodality agreement and intra- as well inter-observer variability were assessed. RESULTS Intermodality/inter-algorithm comparison for global PSCS using Friedman's test revealed statistically significant differences (tagging vs. blood myocardial border tracing algorithm). Intermodality assessment revealed the highest correlation between tagging and non-rigid, elastic image registration (r = 0.84), while correlation between tagging and blood myocardial border tracing (r = 0.36) and between the two feature-tracking software packages (r = 0.5) were considerably lower. CONCLUSIONS The type of algorithm employed during feature-tracking strain assessment has a significant impact on the results. The non-rigid, elastic image registration algorithm produces more precise and reproducible results than the blood myocardium tracing algorithm.
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99
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Zhao X, Teo SK, Zhong L, Leng S, Zhang JM, Low R, Allen J, Koh AS, Su Y, Tan RS. Reference Ranges for Left Ventricular Curvedness and Curvedness-Based Functional Indices Using Cardiovascular Magnetic Resonance in Healthy Asian Subjects. Sci Rep 2020; 10:8465. [PMID: 32439884 PMCID: PMC7242400 DOI: 10.1038/s41598-020-65153-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 04/27/2020] [Indexed: 11/09/2022] Open
Abstract
Curvature-based three-dimensional cardiovascular magnetic resonance (CMR) allows regional function characterization without an external spatial frame of reference. However, introduction of this modality into clinical practice is hampered by lack of reference values. We aim to establish normal ranges for 3D left ventricular (LV) regional parameters in relation to age and gender for 171 healthy subjects. LV geometrical reconstruction and automatic calculation of regional parameters were implemented by in-house software (CardioWerkz) using stacks of short-axis cine slices. Parameter normal ranges were stratified by gender and age categories (≤44, 45-64, 65-74 and 75-84 years). Our software had excellent intra- and inter-observer agreement. Ageing was significantly associated with increases in end-systolic (ES) curvedness (CES) and area strain (AS) with higher rates of increase in males, end-diastolic (ED) and ES wall thickness (WTED, WTES) with higher rates of increase in females, and reductions in ED and ES wall stress indices (σi,ED) with higher rates of increase in females. Females exhibited greater ED curvedness, CES, σi,ED and AS than males, but smaller WTED and WTES. Age × gender interaction was not observed for any parameter. This study establishes age and gender specific reference values for 3D LV regional parameters using CMR without additional image acquisition.
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Affiliation(s)
- Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
| | - Soo-Kng Teo
- Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Singapore
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore. .,Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
| | - Shuang Leng
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
| | - Jun-Mei Zhang
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.,Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Ris Low
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
| | - John Allen
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Angela S Koh
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.,Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Yi Su
- Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Singapore
| | - Ru-San Tan
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.,Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
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100
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Zou Q, Zheng T, Zhou SL, Tang XP, Li SH, Zhou W, Gong LG. Quantitative Evaluation of Myocardial Strain After Myocardial Infarction with Cardiovascular Magnetic Resonance Tissue-Tracking Imaging. Int Heart J 2020; 61:429-436. [PMID: 32350202 DOI: 10.1536/ihj.19-384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
To investigate the value of cardiovascular magnetic resonance tissue-tracking (CMR-TT) imaging in the differentiation of subendocardial and transmural myocardial infarction (MI) and determine whether strain parameters are enable to detect adverse left ventricular (LV) remodeling.Global peak circumferential, longitudinal, and radial strains (GPCS, GPLS, GPRS) and segmental peak circumferential, longitudinal, and radial strains (PCS, PLS, PRS) in accordance with the 16-segment model were all derived. All positive segments were divided into two groups according to transmural degree. All patients were dichotomized in accordance with the existence of LV remodeling, which was defined as infarct size (IS) > 24%.Patients with MI showed significant lower GPRS, GPCS, and GPLS than the control group (16.41% ± 8.92%, -8.77%± 3.51%, -7.54% ± 2.43% versus 32.41% ± 12.99%, -14.92% ± 3.32%, -11.50% ± 2.51%). Lower PRS [3.25% (-5.57, 7.835) versus 19.94% (12.50, 30.75), P < 0.001] and PCS (-3.81 ± 4.60% versus -8.97± 4.43%, P < 0.001) can be found in transmural infarcted segments compared to subendocardial infarcted segments. PLS between transmural and subendocardial infarcted segments (-4.03% ± 4.88% versus -4.34% ± 4.98%), without however statistical significance (P = 0.523). The optimal cutoff value for PRS in the discriminate diagnosis of MI was 8.97% with a sensitivity of 81.8% and specificity of 98.0%. The optimal cutoff value for PCS was -7.56% with a sensitivity of 83.6% and specificity of 72.1%. Receiver operating characteristic (ROC) analysis revealed an optimal cutoff GPRS of 15.45%, and GPCS of -6.72% yielded high diagnostic accuracy in the identification of remodeling, which was higher than left ventricular ejection fraction (LVEF).CMR-TT can differentiate between subendocardial and transmural infarction and detect LV remodeling, and the diagnostic value was superior to conventional functional parameters.
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Affiliation(s)
- Qian Zou
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University.,Medical Imaging Center, Shenzhen Hospital, Southern Medical University
| | - Tian Zheng
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
| | - Shu-Li Zhou
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
| | - Xue-Pei Tang
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
| | - Shu-Hao Li
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
| | - Wei Zhou
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
| | - Liang-Geng Gong
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University
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