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Sulkowska J, Melles AW, Skranes JB, Berge T, Tveit A, Røsjø H, Lyngbakken MN, Omland T, Heck SL. Cardiac troponin T associates with left ventricular function and synchrony assessed by CMR in the general population: results from the Akershus Cardiac Examination 1950 Study. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2024; 2:qyae078. [PMID: 39351316 PMCID: PMC11441316 DOI: 10.1093/ehjimp/qyae078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/25/2024] [Indexed: 10/04/2024]
Abstract
Background and aim Cardiac troponin T (cTnT) is a blood biomarker of myocardial injury that is associated with future adverse cardiovascular events in the general population. Left ventricular (LV) global longitudinal strain (GLS) and mechanical dispersion (MD) are metrics of systolic function and synchrony that can be obtained from cardiac imaging. Studies suggest an association between cTnT and echocardiographically assessed GLS and MD, but it is unknown whether cTnT relates to these metrics when assessed by cardiac magnetic resonance (CMR). We hypothesized that cTnT associates with GLS and with MD assessed by CMR feature tracking (CMR-FT) in the general population. Methods and results cTnT and CMR-FT measurements were performed in 186 community dwellers from the Akershus Cardiac Examination 1950 Study. The participants' age ranged from 68 to 70 years. Median cTnT concentration was 7.0 ng/L (interquartile interval 5.0-12.6 ng/L), median absolute value of GLS was 17.3% (interquartile interval 15.7-18.8%), and median MD was 80.7 milliseconds (interquartile interval 61.8-105.0 milliseconds). In multivariable linear regression models adjusted for common clinical risk factors of cardiovascular disease, with GLS and MD as outcome and cTnT as the predictor variable of interest, log10 transformed cTnT was significantly associated with both absolute GLS [β-coefficient -1.65, confidence interval (-2.84, -0.46)] and MD [β-coefficient 28.56, confidence interval (12.14, 44.92)]. Conclusion In older adults from the general population, higher cTnT concentrations are associated with worse systolic function and synchrony assessed by CMR-FT LV GLS and MD, adding information about myocardial function to traditional risk factors.
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Affiliation(s)
- Joanna Sulkowska
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
- Department of Diagnostic Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478 Lørenskog, Norway
| | - Aikilu Woldegabriel Melles
- Department of Diagnostic Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478 Lørenskog, Norway
| | - Julia Brox Skranes
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
| | - Trygve Berge
- Department of Medical Research, Vestre Viken Bærum Hospital, Gjettum, Norway
| | - Arnljot Tveit
- Department of Medical Research, Vestre Viken Bærum Hospital, Gjettum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Helge Røsjø
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
- Division for Research and Innovation, Akershus Clinical Research Center, Akershus University Hospital, Lørenskog, Norway
| | - Magnus Nakrem Lyngbakken
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
- Department of Infectious Diseases, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Torbjørn Omland
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway
| | - Siri Lagethon Heck
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, P.b. 1000 NO-1478 Lørenskog, Norway
- Department of Diagnostic Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478 Lørenskog, Norway
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Stankovic I, Voigt JU, Burri H, Muraru D, Sade LE, Haugaa KH, Lumens J, Biffi M, Dacher JN, Marsan NA, Bakelants E, Manisty C, Dweck MR, Smiseth OA, Donal E. Imaging in patients with cardiovascular implantable electronic devices: part 1-imaging before and during device implantation. A clinical consensus statement of the European Association of Cardiovascular Imaging (EACVI) and the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J Cardiovasc Imaging 2023; 25:e1-e32. [PMID: 37861372 DOI: 10.1093/ehjci/jead272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 10/15/2023] [Accepted: 10/15/2023] [Indexed: 10/21/2023] Open
Abstract
More than 500 000 cardiovascular implantable electronic devices (CIEDs) are implanted in the European Society of Cardiology countries each year. The role of cardiovascular imaging in patients being considered for CIED is distinctly different from imaging in CIED recipients. In the former group, imaging can help identify specific or potentially reversible causes of heart block, the underlying tissue characteristics associated with malignant arrhythmias, and the mechanical consequences of conduction delays and can also aid challenging lead placements. On the other hand, cardiovascular imaging is required in CIED recipients for standard indications and to assess the response to device implantation, to diagnose immediate and delayed complications after implantation, and to guide device optimization. The present clinical consensus statement (Part 1) from the European Association of Cardiovascular Imaging, in collaboration with the European Heart Rhythm Association, provides comprehensive, up-to-date, and evidence-based guidance to cardiologists, cardiac imagers, and pacing specialists regarding the use of imaging in patients undergoing implantation of conventional pacemakers, cardioverter defibrillators, and resynchronization therapy devices. The document summarizes the existing evidence regarding the use of imaging in patient selection and during the implantation procedure and also underlines gaps in evidence in the field. The role of imaging after CIED implantation is discussed in the second document (Part 2).
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Affiliation(s)
- Ivan Stankovic
- Clinical Hospital Centre Zemun, Department of Cardiology, Faculty of Medicine, University of Belgrade, Vukova 9, 11080 Belgrade, Serbia
| | - Jens-Uwe Voigt
- Department of Cardiovascular Diseases, University Hospitals Leuven/Department of Cardiovascular Sciences, Catholic University of Leuven, Herestraat 49, Leuven 3000, Belgium
| | - Haran Burri
- Cardiac Pacing Unit, Cardiology Department, University Hospital of Geneva, Geneva, Switzerland
| | - Denisa Muraru
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Leyla Elif Sade
- University of Pittsburgh Medical Center, Heart and Vascular Institute, Pittsburgh, PA, USA
- Department of Cardiology, University of Baskent, Ankara, Turkey
| | - Kristina Hermann Haugaa
- ProCardio Center for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Faculty of Medicine Karolinska Institutet AND Cardiovascular Division, Karolinska University Hospital, StockholmSweden
| | - Joost Lumens
- Cardiovascular Research Center Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Mauro Biffi
- Department of Cardiology, IRCCS, Azienda Ospedaliero Universitaria Di Bologna, Policlinico Di S.Orsola, Bologna, Italy
| | - Jean-Nicolas Dacher
- Department of Radiology, Normandie University, UNIROUEN, INSERM U1096 - Rouen University Hospital, F 76000 Rouen, France
| | - Nina Ajmone Marsan
- Department of Cardiology, Heart and Lung Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Elise Bakelants
- Cardiac Pacing Unit, Cardiology Department, University Hospital of Geneva, Geneva, Switzerland
| | - Charlotte Manisty
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Little France Crescent, Edinburgh EH16 4SB, United Kingdom
| | - Otto A Smiseth
- Institute for Surgical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Erwan Donal
- University of Rennes, CHU Rennes, Inserm, LTSI-UMR 1099, Rennes, France
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3
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Su Y, Peng Q, Yin L, Li C. Evaluation of Exercise Tolerance in Non-obstructive Hypertrophic Cardiomyopathy With Myocardial Work and Peak Strain Dispersion by Speckle-Tracking Echocardiography. Front Cardiovasc Med 2022; 9:927671. [PMID: 35958415 PMCID: PMC9361015 DOI: 10.3389/fcvm.2022.927671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe aim of this study was to evaluate exercise tolerance in non-obstructive hypertrophic cardiomyopathy (HCM) by investigating the value of myocardial work (MW) combined with strain peak dispersion.MethodsA total of 65 patients with non-obstructive HCM and normal left ventricular ejection fraction were enrolled and 60 healthy subjects were selected as controls. The automated function imaging (AFI)-two-dimensional ultrasonic speckle-tracking technology was used to obtain the values for peak global longitudinal strain (GLS), longitudinal strain peak time dispersion (PSD), 18-segment systolic longitudinal peak strain (LPS), 18-segment longitudinal strain peak time (TTPLS), global waste work (GWW), global constructive work (GCW), global work index (GWI), global work efficiency (GWE), and exercise metabolic equivalents (METS).Results(1) Values for LV-GLS (−17.77 ± 0.20 vs. −21.66 ± 0.42%) were lower and PSD (95.10 ± 8.15 vs. 28.97 ± 1.50 ms) was prolonged in patients with HCM (p < 0.01). (2) An increasing trend was shown in the basal segment < intermediate segment < apical segment for both patients with HCM and controls, although each segment had lower values in the HCM group. (3) TTPLS was prolonged in the HCM group (p < 0.01). (4) GWE, GWI, and GCW were all lower (p < 0.01) and GWW was higher in patients with HCM (p < 0.01). (5) Values of GWE were less than 92.5%, GWI less than 1,200 mmHg, GCW less than 1,399 mmHg, these abnormal values are helpful for the diagnosis of impaired exercise tolerance and poor prognosis (6) The METS and LV-GLS of HCM in the asymmetric group were significantly lower than that in AHCM group, but the PSD was significantly greater than that in the AHCM group. Values of LPS-BL (−13.13% ± 2.51% vs −10.17% ± 2.20%) in the apical HCM group were better than in the asymmetric HCM group (p < 0.05).ConclusionGCW, GWI, and GWE can be safely measured by resting echocardiography to evaluate exercise tolerance in patients with HCM who cannot perform an exercise-based examination. Such measurements provide a basis for clinical decisions regarding exercise and drug prescription.
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Affiliation(s)
- Ye Su
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Department of Cardiovascular Ultrasound, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Qionghui Peng
- Department of Cardiovascular Ultrasound, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Lixue Yin
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Department of Cardiovascular Ultrasound, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
- *Correspondence: Lixue Yin, ;
| | - Chunmei Li
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Department of Cardiovascular Ultrasound, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
- Chunmei Li,
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Wu Y, Tang Z, Li B, Firmin D, Yang G. Recent Advances in Fibrosis and Scar Segmentation From Cardiac MRI: A State-of-the-Art Review and Future Perspectives. Front Physiol 2021; 12:709230. [PMID: 34413789 PMCID: PMC8369509 DOI: 10.3389/fphys.2021.709230] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/28/2021] [Indexed: 12/03/2022] Open
Abstract
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been successful in guiding the clinical diagnosis and treatment reliably. For LGE CMR, many methods have demonstrated success in accurately segmenting scarring regions. Co-registration with other non-contrast-agent (non-CA) modalities [e.g., balanced steady-state free precession (bSSFP) cine magnetic resonance imaging (MRI)] can further enhance the efficacy of automated segmentation of cardiac anatomies. Many conventional methods have been proposed to provide automated or semi-automated segmentation of scars. With the development of deep learning in recent years, we can also see more advanced methods that are more efficient in providing more accurate segmentations. This paper conducts a state-of-the-art review of conventional and current state-of-the-art approaches utilizing different modalities for accurate cardiac fibrosis and scar segmentation.
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Affiliation(s)
- Yinzhe Wu
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.,Department of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom
| | - Zeyu Tang
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.,Department of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom
| | - Binghuan Li
- Department of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom
| | - David Firmin
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.,Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
| | - Guang Yang
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.,Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
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Abou R, Prihadi EA, Goedemans L, van der Geest R, El Mahdiui M, Schalij MJ, Ajmone Marsan N, Bax JJ, Delgado V. Left ventricular mechanical dispersion in ischaemic cardiomyopathy: association with myocardial scar burden and prognostic implications. Eur Heart J Cardiovasc Imaging 2021; 21:1227-1234. [PMID: 32734280 DOI: 10.1093/ehjci/jeaa187] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/12/2020] [Accepted: 06/16/2020] [Indexed: 02/06/2023] Open
Abstract
AIMS Left ventricular (LV) mechanical dispersion (MD) may result from heterogeneous electrical conduction and is associated with adverse events. The present study investigated (i) the association between LV MD and the extent of LV scar as assessed with contrast-enhanced cardiac magnetic resonance (CMR) and (ii) the prognostic implications of LV MD in patients after ST-segment elevation myocardial infarction. METHODS AND RESULTS LV MD was calculated by echocardiography and myocardial scar was analysed on CMR data retrospectively. Infarct core and border zone were defined as ≥50% and 35-50% of maximal signal intensity, respectively. Patients were followed for the occurrence of the combined endpoint (all-cause mortality and appropriate implantable cardioverter-defibrillator therapy). In total, 96 patients (87% male, 57 ± 10 years) were included. Median LV MD was 53.5 ms [interquartile range (IQR) 43.4-62.8]. On CMR, total scar burden was 11.4% (IQR 3.8-17.1%), infarct core tissue 6.2% (IQR 2.0-12.7%), and border zone was 3.5% (IQR 1.5-5.7%). Correlations were observed between LV MD and infarct core (r = 0.517, P < 0.001), total scar burden (r = 0.497, P < 0.001), and border zone (r = 0.298, P = 0.003). In total, 14 patients (15%) reached the combined endpoint. Patients with LV MD >53.5 ms showed higher event rates as compared to their counterparts. Finally, LV MD showed the highest area under the curve for the prediction of the combined endpoint. CONCLUSION LV MD is correlated with LV scar burden. In addition, patients with prolonged LV MD showed higher event rates. Finally, LV MD provided the highest predictive value for the combined endpoint when compared with other parameters.
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Affiliation(s)
- Rachid Abou
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Edgard A Prihadi
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Laurien Goedemans
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Rob van der Geest
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Mohammed El Mahdiui
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Nina Ajmone Marsan
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
| | - Victoria Delgado
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, 2300RC Leiden, The Netherlands
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Qu YY, Paul J, Li H, Ma GS, Buckert D, Rasche V. Left ventricular myocardial strain quantification with two- and three-dimensional cardiovascular magnetic resonance based tissue tracking. Quant Imaging Med Surg 2021; 11:1421-1436. [PMID: 33816179 DOI: 10.21037/qims-20-635] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Cardiovascular magnetic resonance based tissue tracking (CMR-TT) was reported to provide detailed insight into left ventricular (LV) contractile function and deformation with both of two- and three-dimensional (2/3D) algorithms. This study was designed to investigate the feasibility and reproducibility of these two techniques for measuring LV global and segmental strain, and establish gender- and age-related reference values of global multi-dimensional peak strains among large healthy population. Methods We retrospectively recruited 150 healthy volunteers (75 males/females) and divided them into three age groups (G20-40, G41-60 and G61-80). LV global mean and peak strains as well as segmental strains in radial, circumferential and longitudinal directions were derived from post-hoc 2/3D CMR-TT analysis of standard steady-state free precession (SSFP) cine images acquired at 1.5T field strength. Results Both 2D and 3D CMR-TT modalities enable the tracking of LV myocardial tissues and generate global and segmental strain data. By comparison, 3D CMR-TT was more feasible in measuring segmental deformation since it could generate values at all segments. The amplitudes of LV 3D global peak strain were the smallest among those of 2/3D corresponding global mean or peak strains except in the radial direction, and was highly correlated with 2D global mean strains (correlation coefficient r=0.71-0.90), 2D global peak strains (r=0.75-0.89) and 3D global mean strains (all r=0.99). In healthy cohort, LV 3D global peak values were 44.4%±13.0% for radial, -17.0%±2.7% for circumferential and -15.4%±2.3% for longitudinal strain. Females showed significantly larger amplitude of strains than males, especially in G61-80 (P<0.05). The subjects in G61-80 showed larger amplitude of strains than the volunteers in younger groups. The intra- and inter-observer agreement of 2/3D CMR-TT analysis in evaluating LV myocardial global deformation was better than segmental measurement. Conclusions CMR-TT is a feasible and reproducible technique for assessing LV myocardial deformation, especially at the global level. The establishment of specific reference values of LV global and segmental systolic strains and the investigation of dimension-, gender- and age-related differences provide a fundamental insight into the features of LV contraction and works as an essential step in clinical routine.
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Affiliation(s)
- Yang-Yang Qu
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany.,Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Jan Paul
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Hao Li
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Gen-Shan Ma
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Dominik Buckert
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Volker Rasche
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany
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7
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Dohy Z, Szabo L, Toth A, Czimbalmos C, Horvath R, Horvath V, Suhai FI, Geller L, Merkely B, Vago H. Prognostic significance of cardiac magnetic resonance-based markers in patients with hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 2021; 37:2027-2036. [PMID: 33555536 PMCID: PMC8255255 DOI: 10.1007/s10554-021-02165-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/08/2020] [Indexed: 12/26/2022]
Abstract
The prognosis of patients with hypertrophic cardiomyopathy (HCM) varies greatly. Cardiac magnetic resonance (CMR) is the gold standard method for assessing left ventricular (LV) mass and volumes. Myocardial fibrosis can be noninvasively detected using CMR. Moreover, feature-tracking (FT) strain analysis provides information about LV deformation. We aimed to investigate the prognostic significance of standard CMR parameters, myocardial fibrosis, and LV strain parameters in HCM patients. We investigated 187 HCM patients who underwent CMR with late gadolinium enhancement and were followed up. LV mass (LVM) was evaluated with the exclusion and inclusion of the trabeculae and papillary muscles (TPM). Global LV strain parameters and mechanical dispersion (MD) were calculated. Myocardial fibrosis was quantified. The combined endpoint of our study was all-cause mortality, heart transplantation, malignant ventricular arrhythmias and appropriate implantable cardioverter defibrillator (ICD) therapy. The arrhythmia endpoint was malignant ventricular arrhythmias and appropriate ICD therapy. The LVM index (LVMi) was an independent CMR predictor of the combined endpoint independent of the quantification method (p < 0.01). The univariate predictors of the combined endpoint were LVMi, global longitudinal (GLS) and radial strain and longitudinal MD (MDL). The univariate predictors of arrhythmia events included LVMi and myocardial fibrosis. More pronounced LV hypertrophy was associated with impaired GLS and increased MDL. More extensive myocardial fibrosis correlated with impaired GLS (p < 0.001). LVMi was an independent CMR predictor of major events, and myocardial fibrosis predicted arrhythmia events in HCM patients. FT strain analysis provided additional information for risk stratification in HCM patients.
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Affiliation(s)
- Zsofia Dohy
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Liliana Szabo
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Attila Toth
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Csilla Czimbalmos
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Rebeka Horvath
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Viktor Horvath
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Ferenc Imre Suhai
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Laszlo Geller
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary
| | - Hajnalka Vago
- Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, Budapest, 1122, Hungary.
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8
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Edvardsen T, Klæboe LG, Haugaa KH. The infarcted myocardium and mechanical dispersion: another brick in the wall. Eur Heart J Cardiovasc Imaging 2021; 21:1235-1236. [PMID: 32856038 DOI: 10.1093/ehjci/jeaa209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lars Gunnar Klæboe
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Kristina H Haugaa
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
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9
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Prihadi EA, Vollema EM, Ng ACT, Ajmone Marsan N, Bax JJ, Delgado V. Determinants and prognostic implications of left ventricular mechanical dispersion in aortic stenosis. Eur Heart J Cardiovasc Imaging 2020; 20:740-748. [PMID: 30726895 PMCID: PMC6593318 DOI: 10.1093/ehjci/jez004] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 01/16/2018] [Indexed: 12/23/2022] Open
Abstract
AIMS The present study aimed at investigating the association between left ventricular (LV) mechanical dispersion measured with speckle tracking echocardiography and severity of aortic stenosis (AS) and its impact on prognosis. METHODS AND RESULTS This retrospective study included 630 patients [age 72 (62-78) years, 61.4% men] with various grades of AS (mild AS, 19.8%; moderate AS, 37.0%; severe AS, 43.2%). LV mechanical dispersion (defined as standard deviation of time from Q/R on electrocardiogram to peak longitudinal strain in 17 LV segments) was assessed by speckle tracking echocardiography. Clinical, electrocardiographic, and echocardiographic determinants of increased LV mechanical dispersion were evaluated. During a follow-up of 107 (43-133) months, the independent association between LV mechanical dispersion and all-cause mortality (n = 302, 48%) was evaluated including aortic valve replacement as time-dependent co-variate. LV mechanical dispersion increased significantly with increasing severity of AS (mild AS, 54.5 ± 17.2 ms; moderate AS, 56.7 ± 19.3 ms; severe AS, 70.9 ± 24.3 ms; P < 0.001). Independent determinants of increased mechanical dispersion included older age (β = 0.28; P = 0.003), lower LV ejection fraction (β = -0.24; P = 0.020), smaller aortic valve area (β = -8.55; P = 0.001), larger LV mass index (β = 0.20; P < 0.001), and longer QRS duration (β = 1.12 per each 10 ms increase; P = 0.012). LV mechanical dispersion showed incremental prognostic value for all-cause mortality (hazard ratio 1.10 per each 10 ms increase, 95% confidence interval 1.04-1.15; P < 0.001). CONCLUSION LV mechanical dispersion assessed by speckle tracking echocardiography increases significantly with severity of AS and is significantly associated with all-cause mortality.
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Affiliation(s)
- Edgard A Prihadi
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands
| | - E Mara Vollema
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands
| | - Arnold C T Ng
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands.,Antwerp Cardiovascular Center, ZNA Middelheim, Lindendreef 1, Antwerp, BelgiumDepartment of Cardiology, Princess Alexandra Hospital, The University of Queensland, 199 Ipswich Rd, Woolloongabba QLD, Australia
| | - Nina Ajmone Marsan
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Heart Lung Center, Albinusdreef 2, Leiden, The Netherlands
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10
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Achmad C, Prianda AF, Tiksnadi BB, Iqbal M, Karwiky G, Febrianora M. Correlation Between T Peak to End Interval and Left Ventricular Time to Peak Longitudinal Strain in Ischemic Cardiomyopathy Patients. Cardiol Res 2020; 11:337-341. [PMID: 32849969 PMCID: PMC7430883 DOI: 10.14740/cr1126] [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: 06/24/2020] [Accepted: 07/02/2020] [Indexed: 11/18/2022] Open
Abstract
Background Ischemic cardiomyopathy is the most frequent etiology of heart failure with reduced ejection fraction (HFrEF) and a result of ventricular structural, functional and electrical remodeling. T peak to end (Tpe) interval is an electrocardiographic parameter that represents repolarization heterogeneity and had prognostic value for ventricular arrhythmia. Patients with ischemic cardiomyopathy face a significant burden of arrhythmias. Mechanical dispersion is a functional remodeling parameter that can be measured by time to peak longitudinal strain using speckle tracking echocardiography. This study aimed to assess the relationship between Tpe interval with time to peak longitudinal strain in ischemic cardiomyopathy patients. Methods This study was conducted with an observational analytical cross-sectional design. Ischemic cardiomyopathy subjects were included at Dr. Hasan Sadikin General Hospital, Bandung, from August to October 2019. Tpe interval was measured manually with the tangential method. Time to peak longitudinal strain was measured using speckle tracking echocardiography. The correlation between Tpe interval and time to peak longitudinal strain was analyzed using Pearson correlation. Results A total of 30 subjects were included in this study. The average age was 58 ± 8 years old, and the average left ventricular ejection fraction was 27±5.5%. The average of Tpe interval was 83.4 ± 7.62 ms, and the average time to peak longitudinal strain was 93.13 ± 34.51 ms. The Pearson correlation test showed a significant weak positive correlation (r = 0.386, 95% confidence interval: 0.029 - 0.743, P = 0.018) between Tpe interval and time to peak longitudinal strain in ischemic cardiomyopathy patients. Conlucions There was a significant weak positive correlation between Tpe interval and time to peak longitudinal strain in ischemic cardiomyopathy patients.
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Affiliation(s)
- Chaerul Achmad
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia.,Hasna Medika Cardiac Hospital, Cirebon, West Java, Indonesia
| | - Aditya Fahmi Prianda
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Badai Bhatara Tiksnadi
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Mohammad Iqbal
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Giky Karwiky
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Mega Febrianora
- Department of Cardiology and Vascular Medicine, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
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11
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Gutman SJ, Kawakami H, Taylor AJ, Marwick TH. The Relationship Between Mechanical Dispersion and Late Gadolinium Enhancement in Patients With Nonischemic Cardiomyopathy. JACC Cardiovasc Imaging 2020; 13:2687-2689. [PMID: 32739376 DOI: 10.1016/j.jcmg.2020.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/29/2020] [Accepted: 06/15/2020] [Indexed: 11/16/2022]
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12
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Qu YY, Li H, Rottbauer W, Ma GS, Buckert D, Rasche V. Right ventricular free wall longitudinal strain and strain rate quantification with cardiovascular magnetic resonance based tissue tracking. Int J Cardiovasc Imaging 2020; 36:1985-1996. [PMID: 32462446 PMCID: PMC7497525 DOI: 10.1007/s10554-020-01895-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 05/21/2020] [Indexed: 12/24/2022]
Abstract
Cardiovascular magnetic resonance based tissue tracking (CMR-TT) was reported to provide detailed insight into left ventricular mechanical features. However, inadequate knowledge of the right ventricle (RV) mechanical deformation has been acquired by this advanced technique so far. It was the aim of this study to establish reference values of RV free wall (RVFW) global, regional and segmental longitudinal peak strain and strain rate (LS and LSR), and to investigate the gender- and age-related difference as well as the base-to-apex gradient of RVFW-LS and LSR with CMR-TT. 150 healthy volunteers (75 males/females) were retrospectively and continuously recruited and subdivided into three age groups (G20–40, G41–60 and G61–80). RVFW global, regional (basal, middle-cavity and apical) and segmental LS (GLS, RLS, SLS) along with systolic and diastolic LSR were generated by post-hoc CMR-TT analysis of standard steady-state free precession long-axis four-chamber view cine images acquired at 1.5T field strength. The reference value of myocardial RVFW-GLS was − 24.9 ± 5.2%. We found that females showed more negative GLS than males except in the youngest group, and no age-related difference of GLS was observed in both gender groups. RLS and SLS presented with the same age-related tendency as GLS. The basal and middle-cavity LS were similar between each other and significantly larger than apical LS. RVFW-GLSR resulted as − 1.73 ± 0.58 s−1 and 1.69 ± 0.65 s−1 during systolic and diastolic phases, respectively. The diastolic GLSR of males tended to decline with the ageing and was significantly lower than that of females in G61–80 group. Regional and segmental LSR showed significant gender-related differences in certain basal and apical region/segments without any age-related effects. CMR-TT overcomes the difficulty in measuring RV global and segmental deformation. The establishment of the vendor-, gender- and segment-specific reference values of RVFW-LS and LSR is essential for the rapid and efficient utilization of CMR-TT modality in the clinical routine.
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Affiliation(s)
- Yang-Yang Qu
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany.,Medical School of Southeast University, Nanjing, China
| | - Hao Li
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | | | - Gen-Shan Ma
- Medical School of Southeast University, Nanjing, China.,Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, China
| | - Dominik Buckert
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany.
| | - Volker Rasche
- Internal Medicine II, Ulm University Medical Center, Ulm, Germany.
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13
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Abou R, Goedemans L, van der Bijl P, Fortuni F, Prihadi EA, Mertens B, Schalij MJ, Ajmone Marsan N, Bax JJ, Delgado V. Correlates and Long-Term Implications of Left Ventricular Mechanical Dispersion by Two-Dimensional Speckle-Tracking Echocardiography in Patients with ST-Segment Elevation Myocardial Infarction. J Am Soc Echocardiogr 2020; 33:964-972. [PMID: 32381361 DOI: 10.1016/j.echo.2020.03.010] [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: 12/13/2019] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Left ventricular (LV) mechanical dispersion (LVMD), measured with speckle-tracking echocardiography (STE) after ST-segment elevation myocardial infarction (STEMI), has been proposed as a measurement of regional heterogeneity of myocardial contraction and may reflect changes in the myocardial structure (e.g., fibrosis or edema). Further insight into this parameter may aid in the risk stratification of STEMI patients. METHODS A total of 1,000 STEMI patients (77% male, 60 ± 12 years) treated with primary percutaneous coronary intervention were retrospectively analyzed. The LVMD was assessed with two-dimensional STE within 48 hours following the index infarction. Patients were followed for the occurrence of all-cause mortality. RESULTS After a median follow-up of 117 months, 229 (23%) patients died. Nonsurvivors showed worse LV ejection fraction (43% ± 10% vs 48% ± 9%; P < .001) and global longitudinal strain (-12.0% ± 3.5% vs -14.2% ± 3.5%; P = .001) and prolonged LVMD (63 [interquartile range, 50-85] msec vs 52 [interquartile range, 42-63] msec; P < .001) compared with survivors. Increasing age, systolic blood pressure, and heart rate at discharge as well as diabetes mellitus, anterior STEMI, TIMI flow < 2, less usage of angiotensin converter enzyme inhibitors or angiotensin receptor blockers, and impaired LV global longitudinal strain were independently associated with more prolonged LVMD. On multivariable analysis, prolonged LVMD was independently associated with increased risk of all-cause mortality (hazard ratio = 1.012; 95% CI, 1.005-1.018; P = .001) and had incremental value for all-cause mortality over clinical and echocardiographic parameters. CONCLUSIONS In contemporary STEMI patients, prolonged LVMD was associated with various clinical and echocardiographic parameters. Prolonged LVMD was associated with worse long-term outcome.
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Affiliation(s)
- Rachid Abou
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Laurien Goedemans
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieter van der Bijl
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Federico Fortuni
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Edgard A Prihadi
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Bart Mertens
- Bioinformatics Center of Expertise, Leiden University Medical Center, Leiden, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Nina Ajmone Marsan
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
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Perry R, Patil S, Marx C, Horsfall M, Chew DP, Sree Raman K, Daril NDM, Tiver K, Joseph MX, Ganesan AN, McGavigan A, Nucifora G, Selvanayagam JB. Advanced Echocardiographic Imaging for Prediction of SCD in Moderate and Severe LV Systolic Function. JACC Cardiovasc Imaging 2020; 13:604-612. [DOI: 10.1016/j.jcmg.2019.07.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 07/08/2019] [Accepted: 07/11/2019] [Indexed: 12/29/2022]
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15
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Ieroncig F, Breau JB, Bélair G, David LP, Noiseux N, Hatem R, Avram R. Novel Approaches to Define Outcomes in Coronary Revascularization. Can J Cardiol 2019; 35:967-982. [DOI: 10.1016/j.cjca.2018.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 12/10/2018] [Accepted: 12/10/2018] [Indexed: 01/10/2023] Open
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16
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Paiman EHM, Androulakis AFA, Shahzad R, Tao Q, Zeppenfeld K, Lamb HJ, van der Geest RJ. Association of cardiovascular magnetic resonance-derived circumferential strain parameters with the risk of ventricular arrhythmia and all-cause mortality in patients with prior myocardial infarction and primary prevention implantable cardioverter defibrillator. J Cardiovasc Magn Reson 2019; 21:28. [PMID: 31096987 PMCID: PMC6521513 DOI: 10.1186/s12968-019-0536-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 03/27/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Impaired left ventricular (LV) contraction and relaxation may further promote adverse remodeling and may increase the risk of ventricular arrhythmia (VA) in ischemic cardiomyopathy. We aimed to examine the association of cardiovascular magnetic resonance (CMR)-derived circumferential strain parameters for LV regional systolic function, LV diastolic function and mechanical dispersion with the risk of VA in patients with prior myocardial infarction and primary prevention implantable cardioverter defibrillator (ICD). METHODS Patients with an ischemic cardiomyopathy who underwent CMR prior to primary prevention ICD implantation, were retrospectively identified. LV segmental circumferential strain curves were extracted from short-axis cine CMR. For LV regional strain analysis, the extent of moderately and severely impaired strain (percentage of LV segments with strain between - 10% and - 5% and > - 5%, respectively) were calculated. LV diastolic function was quantified by the early and late diastolic strain rate. Mechanical dispersion was defined as the standard deviation in delay time between each strain curve and the patient-specific reference curve. Cox proportional hazard ratios (HR) (95%CI) were calculated to assess the association between LV strain parameters and appropriate ICD therapy. RESULTS A total of 121 patients (63 ± 11 years, 84% men, LV ejection fraction (LVEF) 27 ± 9%) were included. During a median (interquartile range) follow-up of 47 (27;69) months, 30 (25%) patients received appropriate ICD therapy. The late diastolic strain rate (HR 1.1 (1.0;1.2) per - 0.25 1/s, P = 0.043) and the extent of moderately impaired strain (HR 1.5 (1.0;2.2) per + 10%, P = 0.048) but not the extent of severely impaired strain (HR 0.9 (0.6;1.4) per + 10%, P = 0.685) were associated with appropriate ICD therapy, independent of LVEF, late gadolinium enhancement (LGE) scar border size and acute revascularization. Mechanical dispersion was not related to appropriate ICD therapy (HR 1.1 (0.8;1.6) per + 25 ms, P = 0.464). CONCLUSIONS In an ischemic cardiomyopathy population referred for primary prevention ICD implantation, the extent of moderately impaired strain and late diastolic strain rate were associated with the risk of appropriate ICD therapy, independent of LVEF, scar border size and acute revascularization. These findings suggest that disturbed LV contraction and relaxation may contribute to an increased risk of VA after myocardial infarction.
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MESH Headings
- Aged
- Arrhythmias, Cardiac/diagnosis
- Arrhythmias, Cardiac/mortality
- Arrhythmias, Cardiac/physiopathology
- Arrhythmias, Cardiac/prevention & control
- Defibrillators, Implantable
- Electric Countershock/adverse effects
- Electric Countershock/instrumentation
- Electric Countershock/mortality
- Female
- Humans
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Myocardial Infarction/diagnostic imaging
- Myocardial Infarction/mortality
- Myocardial Infarction/physiopathology
- Predictive Value of Tests
- Primary Prevention/instrumentation
- Retrospective Studies
- Risk Assessment
- Risk Factors
- Time Factors
- Treatment Outcome
- Ventricular Dysfunction, Left/diagnostic imaging
- Ventricular Dysfunction, Left/mortality
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Dysfunction, Left/therapy
- Ventricular Function, Left
- Ventricular Remodeling
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Affiliation(s)
- Elisabeth H. M. Paiman
- Department of Radiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Alexander F. A. Androulakis
- Department of Cardiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Rahil Shahzad
- LKEB, Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Qian Tao
- LKEB, Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Katja Zeppenfeld
- Department of Cardiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Hildo J. Lamb
- Department of Radiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
| | - Rob J. van der Geest
- LKEB, Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, postal zone C2-S, 2300 RC Leiden, The Netherlands
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van der Bijl P, Delgado V, Bax JJ. Imaging for sudden cardiac death risk stratification: Current perspective and future directions. Prog Cardiovasc Dis 2019; 62:205-211. [PMID: 31054859 DOI: 10.1016/j.pcad.2019.04.005] [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: 04/25/2019] [Accepted: 04/25/2019] [Indexed: 12/31/2022]
Abstract
Sudden cardiac death (SCD) accounts for one fifth of global deaths, and occurs when a trigger (e.g. myocardial ischemia, premature ventricular contraction) interacts with an arrhythmic substrate (e.g. myocardial scar, dilated cardiomyopathy). Multimodality imaging (echocardiographic, cardiac magnetic resonance and nuclear techniques) can potentially visualize many predisposing substrates and triggers. Implantable cardioverter-defibrillator (ICD) is the most effective approach to primary prevention of SCD, and current guidelines regarding ICD implantation are based on a left ventricular ejection fraction (LVEF) ≤35%. This practice is limited by a low sensitivity and specificity, and has limited value when applied to different etiologies. In this review, the role of multimodality imaging in SCD risk-stratification and the limitations of an LVEF-based approach, are discussed. Additional randomized, prospective data are eagerly awaited to inform on the role of imaging in SCD risk-stratification, and ongoing/ planned trials are subsequently discussed.
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Affiliation(s)
- Pieter van der Bijl
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center
| | - Victoria Delgado
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center.
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Zhang N, Yang G, Gao Z, Xu C, Zhang Y, Shi R, Keegan J, Xu L, Zhang H, Fan Z, Firmin D. Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI. Radiology 2019; 291:606-617. [PMID: 31038407 DOI: 10.1148/radiol.2019182304] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed. Purpose To develop a fully automatic framework for chronic MI delineation via deep learning on non-contrast material-enhanced cardiac cine MRI. Materials and Methods In this retrospective single-center study, a deep learning model was developed to extract motion features from the left ventricle and delineate MI regions on nonenhanced cardiac cine MRI collected between October 2015 and March 2017. Patients with chronic MI, as well as healthy control patients, had both nonenhanced cardiac cine (25 phases per cardiac cycle) and LGE MRI examinations. Eighty percent of MRI examinations were used for the training data set and 20% for the independent testing data set. Chronic MI regions on LGE MRI were defined as ground truth. Diagnostic performance was assessed by analysis of the area under the receiver operating characteristic curve (AUC). MI area and MI area percentage from nonenhanced cardiac cine and LGE MRI were compared by using the Pearson correlation, paired t test, and Bland-Altman analysis. Results Study participants included 212 patients with chronic MI (men, 171; age, 57.2 years ± 12.5) and 87 healthy control patients (men, 42; age, 43.3 years ± 15.5). Using the full cardiac cine MRI, the per-segment sensitivity and specificity for detecting chronic MI in the independent test set was 89.8% and 99.1%, respectively, with an AUC of 0.94. There were no differences between nonenhanced cardiac cine and LGE MRI analyses in number of MI segments (114 vs 127, respectively; P = .38), per-patient MI area (6.2 cm2 ± 2.8 vs 5.5 cm2 ± 2.3, respectively; P = .27; correlation coefficient, r = 0.88), and MI area percentage (21.5% ± 17.3 vs 18.5% ± 15.4; P = .17; correlation coefficient, r = 0.89). Conclusion The proposed deep learning framework on nonenhanced cardiac cine MRI enables the confirmation (presence), detection (position), and delineation (transmurality and size) of chronic myocardial infarction. However, future larger-scale multicenter studies are required for a full validation. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Leiner in this issue.
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Affiliation(s)
- Nan Zhang
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Guang Yang
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Zhifan Gao
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Chenchu Xu
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Yanping Zhang
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Rui Shi
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Jennifer Keegan
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Lei Xu
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Heye Zhang
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - Zhanming Fan
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
| | - David Firmin
- From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.)
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Sassone B, Nucifora G, Mele D, Valzania C, Bisignani G, Boriani G. Role of cardiovascular imaging in cardiac resynchronization therapy: a literature review. J Cardiovasc Med (Hagerstown) 2018; 19:211-222. [PMID: 29470248 DOI: 10.2459/jcm.0000000000000635] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
: Cardiac resynchronization therapy (CRT) is an established treatment in patients with symptomatic drug-refractory heart failure and broad QRS complex on the surface ECG. Despite the presence of either mechanical dyssynchrony or viable myocardium at the site where delivering left ventricular pacing being necessary conditions for a successful CRT, their direct assessment by techniques of cardiovascular imaging, though feasible, is not recommended in clinical practice by the current guidelines. Indeed, even though there is growing body of data providing evidence of the additional value of an image-based approach as compared with routine approach in improving response to CRT, these results should be confirmed in prospective and large multicentre trials before their impact on CRT guidelines is considered.
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Affiliation(s)
- Biagio Sassone
- Department of Cardiology, SS.ma Annunziata Hospital.,Department of Cardiology, Delta Hospital, Azienda Unità Sanitaria Locale Ferrara, Ferrara, Italy
| | - Gaetano Nucifora
- Cardiology Department, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Flinders University, Adelaide, Australia
| | - Donato Mele
- Noninvasive Cardiology Unit, University Hospital of Ferrara, Ferrara
| | - Cinzia Valzania
- Institute of Cardiology, University of Bologna, Policlinico S. Orsola-Malpighi, Bologna
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Diagnostics, Clinical and Public Health Medicine, University of Modena and Reggio Emilia, Policlinico of Modena, Modena, Italy
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Muser D, Castro SA, Santangeli P, Nucifora G. Clinical applications of feature-tracking cardiac magnetic resonance imaging. World J Cardiol 2018; 10:210-221. [PMID: 30510638 PMCID: PMC6259029 DOI: 10.4330/wjc.v10.i11.210] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/04/2018] [Accepted: 10/09/2018] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications.
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Affiliation(s)
- Daniele Muser
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Simon A Castro
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Pasquale Santangeli
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Gaetano Nucifora
- NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom.
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Predicción del riesgo de muerte súbita cardiaca: el papel de la resonancia magnética cardiaca. Rev Esp Cardiol 2018. [DOI: 10.1016/j.recesp.2018.04.040] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Nucifora G, Muser D, Tioni C, Shah R, Selvanayagam JB. Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction. Int J Cardiol 2018; 271:387-391. [DOI: 10.1016/j.ijcard.2018.05.082] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/26/2018] [Accepted: 05/22/2018] [Indexed: 12/20/2022]
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van der Bijl P, Podlesnikar T, Bax JJ, Delgado V. Sudden Cardiac Death Risk Prediction: The Role of Cardiac Magnetic Resonance Imaging. ACTA ACUST UNITED AC 2018; 71:961-970. [PMID: 29970349 DOI: 10.1016/j.rec.2018.05.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 05/07/2018] [Indexed: 02/06/2023]
Abstract
Sudden cardiac death (SCD) accounts for more than 4 million global deaths per year. While it is most commonly caused by coronary artery disease, a final common pathway of ventricular arrhythmias is shared by different etiologies. The most effective primary and secondary prevention strategy is an implantable cardioverter-defibrillator (ICD). The decision to implant an ICD for primary prevention is largely based on a left ventricular ejection fraction ≤ 35%, but this criterion in isolation is neither sensitive nor specific. Novel imaging parameters hold promise to improve ICD candidate selection. Cardiac magnetic resonance (CMR) imaging is a powerful and versatile technique, with the ability to comprehensively assess cardiac structure and function. A range of variables based on CMR techniques (late gadolinium enhancement, T1 mapping, T2* relaxometry, deformation imaging) have been associated with ventricular arrhythmias and SCD risk. The role of CMR in the estimation of ventricular arrhythmias and SCD risk in coronary artery disease, nonischemic cardiomyopathies, cardiac transplant, iron-overload cardiomyopathy and valvular heart disease is reviewed in this article. Prospective, randomized trials and standardization of CMR techniques are required before its routine use can be recommended for guiding SCD prevention strategies.
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Affiliation(s)
- Pieter van der Bijl
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tomaž Podlesnikar
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
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Saporito S, Houthuizen P, Aben JPMM, Westenberg JJM, van Den Bosch HCM, van Assen HC, Mischi M. Endocardial center motion for quantification of left ventricular discoordination in heart failure using cine MRI. Physiol Meas 2018; 39:025009. [PMID: 29369050 DOI: 10.1088/1361-6579/aaaaa0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To compare a novel cardiovascular magnetic resonance technique for the assessment of left ventricular (LV) mechanical discoordination by characterizing the endocardial center motion (ECM) in short-axis cine MRI in healthy volunteers and heart failure patients with left bundle branch block (HF-LBBB). APPROACH To evaluate ECM analysis as mechanical discoordination measure, we retrospectively compared spatial and temporal features of the ECM between a group of healthy volunteers (n = 14) and conduction defect patients (HF-LBBB, n = 31). We tracked the center of the endocardial borders on short-axis view MRI cine loops during the cardiac cycle. From the ECM trajectory we calculated the overall traveled distance, the enclosed area, the eccentricity of the trajectory, and the maximum traveled distance. The ECM can be visualized in spatial coordinates as well as by its temporal behavior. We evaluated the classification performance of these measures for LBBB detection. We also quantified the coherence of the ECM on the longitudinal direction by considering the variability of the ECM measures between different short-axis slices. MAIN RESULTS Patients with LBBB showed significantly higher traveled distance (p < 0.0001), enclosed area (p < 0.002), eccentricity (p < 0.02), and peak displacement (p < 0.02) of the endocardial center. Patients with positive late gadolinium enhancement showed a higher variability of ECM measures across different slices (p < 0.05). SIGNIFICANCE ECM analysis is feasible and it allows the assessment of left ventricular mechanical discoordination. Differences in ECM measures permit one to distinguish between LBBB and healthy volunteers.
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Affiliation(s)
- Salvatore Saporito
- Department of Electrical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, Netherlands
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