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Saito N, Kato S, Azuma M, Horita N, Utsunomiya D. Prognostic impact of MRI-derived feature tracking myocardial strain in patients with non-ischaemic dilated cardiomyopathy: a systematic review and meta-analysis. Clin Radiol 2024; 79:e702-e714. [PMID: 38402086 DOI: 10.1016/j.crad.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 11/15/2023] [Accepted: 12/04/2023] [Indexed: 02/26/2024]
Abstract
AIM To evaluate the clinical utility of feature tracking (FT)-derived myocardial strain in patients with non-ischaemic dilated cardiomyopathy (NIDCM). MATERIALS AND METHODS Electronic database searches of PubMed, Web of Science Core Collection, Cochrane advanced search, and EMBASE were performed. Studies on NIDCM were divided into categories according to left ventricular ejection fraction (LVEF; <30%, 30-40%, >40%), and correlations between strains and prevalence of late gadolinium enhancement (LGE) were evaluated by weighted correlation coefficients. Global longitudinal strain (GLS) hazard ratios were also integrated for prediction of future adverse events. RESULTS The present meta-analysis analysed data from 5,767 patients with NIDCM from 30 eligible studies. GLS and global circumferential strain significantly differed across the three LVEF categories (all p<0.05); however, global radial strain did not. Only GLS showed a strong correlation with the prevalence of LGE (Spearman's correlation coefficient = 0.61). The pooled HR of GLS for predicting adverse events was 1.15 (95% confidence interval [CI]: 1.07-1.23, p<0.001). CONCLUSION In this meta-analysis, FT-derived GLS was strongly correlated with myocardial fibrosis and was an important predictor of future adverse events. These results suggest that FT-derived GLS may be useful in the pathological evaluation and risk stratification of NIDCM.
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Affiliation(s)
- N Saito
- Department of Clinical Laboratory, Kanagawa Children's Medical Center, Yokohama, Kanagawa, Japan
| | - S Kato
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.
| | - M Azuma
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
| | - N Horita
- Chemotherapy Center, Yokohama City University Hospital, Yokohama, Kanagawa, Japan
| | - D Utsunomiya
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
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2
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Gröschel J, Kuhnt J, Viezzer D, Hadler T, Hormes S, Barckow P, Schulz-Menger J, Blaszczyk E. Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease. Eur Radiol 2024; 34:1003-1015. [PMID: 37594523 PMCID: PMC10853310 DOI: 10.1007/s00330-023-10127-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/27/2023] [Accepted: 07/04/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVES The analysis of myocardial deformation using feature tracking in cardiovascular MR allows for the assessment of global and segmental strain values. The aim of this study was to compare strain values derived from artificial intelligence (AI)-based contours with manually derived strain values in healthy volunteers and patients with cardiac pathologies. MATERIALS AND METHODS A cohort of 136 subjects (60 healthy volunteers and 76 patients; of those including 46 cases with left ventricular hypertrophy (LVH) of varying etiology and 30 cases with chronic myocardial infarction) was analyzed. Comparisons were based on quantitative strain analysis and on a geometric level by the Dice similarity coefficient (DSC) of the segmentations. Strain quantification was performed in 3 long-axis slices and short-axis (SAX) stack with epi- and endocardial contours in end-diastole. AI contours were checked for plausibility and potential errors in the tracking algorithm. RESULTS AI-derived strain values overestimated radial strain (+ 1.8 ± 1.7% (mean difference ± standard deviation); p = 0.03) and underestimated circumferential (- 0.8 ± 0.8%; p = 0.02) and longitudinal strain (- 0.1 ± 0.8%; p = 0.54). Pairwise group comparisons revealed no significant differences for global strain. The DSC showed good agreement for healthy volunteers (85.3 ± 10.3% for SAX) and patients (80.8 ± 9.6% for SAX). In 27 cases (27/76; 35.5%), a tracking error was found, predominantly (24/27; 88.9%) in the LVH group and 22 of those (22/27; 81.5%) at the insertion of the papillary muscle in lateral segments. CONCLUSIONS Strain analysis based on AI-segmented images shows good results in healthy volunteers and in most of the patient groups. Hypertrophied ventricles remain a challenge for contouring and feature tracking. CLINICAL RELEVANCE STATEMENT AI-based segmentations can help to streamline and standardize strain analysis by feature tracking. KEY POINTS • Assessment of strain in cardiovascular magnetic resonance by feature tracking can generate global and segmental strain values. • Commercially available artificial intelligence algorithms provide segmentation for strain analysis comparable to manual segmentation. • Hypertrophied ventricles are challenging in regards of strain analysis by feature tracking.
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Affiliation(s)
- Jan Gröschel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
| | - Johanna Kuhnt
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Darian Viezzer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Thomas Hadler
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sophie Hormes
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
| | | | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Edyta Blaszczyk
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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3
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Bennett J, van Dinther M, Voorter P, Backes W, Barnes J, Barkhof F, Captur G, Hughes AD, Sudre C, Treibel TA. Assessment of Microvascular Disease in Heart and Brain by MRI: Application in Heart Failure with Preserved Ejection Fraction and Cerebral Small Vessel Disease. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1596. [PMID: 37763715 PMCID: PMC10534635 DOI: 10.3390/medicina59091596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023]
Abstract
The objective of this review is to investigate the commonalities of microvascular (small vessel) disease in heart failure with preserved ejection fraction (HFpEF) and cerebral small vessel disease (CSVD). Furthermore, the review aims to evaluate the current magnetic resonance imaging (MRI) diagnostic techniques for both conditions. By comparing the two conditions, this review seeks to identify potential opportunities to improve the understanding of both HFpEF and CSVD.
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Affiliation(s)
- Jonathan Bennett
- Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK
- Department of Cardiology, Barts Heart Centre, London EC1A 7BE, UK
| | - Maud van Dinther
- Department of Neurology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
- School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 LX Maastricht, The Netherlands
| | - Paulien Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Walter Backes
- School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 LX Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Josephine Barnes
- Dementia Research Centre, UCL Queens Square Institute of Neurology, University College London, London WC1E 6BT, UK
| | - Frederick Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije University, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands
- Queen Square Institute of Neurology, University College London, London WC1E 6BT, UK
- Centre for Medical Image Computing, University College London, London WC1E 6BT, UK
| | - Gabriella Captur
- Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK
- Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London WC1E 6BT, UK
- Centre for Inherited Heart Muscle Conditions, Cardiology Department, The Royal Free Hospital, London NW3 2QG, UK
| | - Alun D. Hughes
- Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK
- Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London WC1E 6BT, UK
| | - Carole Sudre
- Dementia Research Centre, UCL Queens Square Institute of Neurology, University College London, London WC1E 6BT, UK
- Centre for Medical Image Computing, University College London, London WC1E 6BT, UK
- Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London WC1E 6BT, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London WC2R 2LS, UK
| | - Thomas A. Treibel
- Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK
- Department of Cardiology, Barts Heart Centre, London EC1A 7BE, UK
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4
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Gunsaulus M, Alsaied T, Tersak JM, Friehling E, Rose-Felker K. Abnormal Global Longitudinal Strain During Anthracycline Treatment Predicts Future Cardiotoxicity in Children. Pediatr Cardiol 2023:10.1007/s00246-023-03275-x. [PMID: 37606650 DOI: 10.1007/s00246-023-03275-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/10/2023] [Indexed: 08/23/2023]
Abstract
Global longitudinal strain (GLS) is a sensitive predictor of cardiotoxicity in adults with cancer. However, the significance of abnormal GLS during childhood cancer treatment is less well-understood. The objective was to evaluate the use of GLS for predicting later cardiac dysfunction in pediatric cancer survivors exposed to high-dose anthracyclines. This was a retrospective study of pediatric patients exposed to a doxorubicin isotoxic equivalent dose of ≥ 225 mg/m2. Transthoracic echocardiograms (TTE) were obtained prior to chemotherapy (T1), during anthracycline therapy (T2), and following completion of therapy (T3). Cardiotoxicity was defined as meeting at least one of the following criteria after anthracycline therapy: a decrease in left ventricle ejection fraction (LVEF) by 10% from baseline to a value < 55%, fractional shortening < 28%, or a decrease in GLS by ≥ 15% from baseline. Nineteen of 57 (33%) patients met criteria for cardiotoxicity at T3. Cardiotoxicity was associated with a lower LVEF at T2 (p = 0.0003) and a decrease in GLS by ≥ 15% at T2 compared to baseline (p = < 0.0001). ROC analysis revealed that the best predictor of cardiotoxicity at T3 was the percent change in GLS at T2 compared to baseline (AUC 0.87). A subgroup analysis revealed that a decrease in GLS by ≥ 15% from baseline at 0-6 months from completion of anthracycline therapy was associated with cardiotoxicity > 1-year post-treatment (p = 0.017). A decline in GLS during chemotherapy was the best predictor of cardiotoxicity post-treatment. GLS serves as an important marker of cardiac function in pediatric patients undergoing treatment with anthracyclines.
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Affiliation(s)
- Megan Gunsaulus
- Department of Pediatrics, University of Pittsburgh Medical Center, 4401 Penn Avenue, 5th Floor Faculty Pavilion, Pittsburgh, PA, 15224, USA.
- Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, USA.
| | - Tarek Alsaied
- Department of Pediatrics, University of Pittsburgh Medical Center, 4401 Penn Avenue, 5th Floor Faculty Pavilion, Pittsburgh, PA, 15224, USA
- Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Jean M Tersak
- Department of Pediatrics, University of Pittsburgh Medical Center, 4401 Penn Avenue, 5th Floor Faculty Pavilion, Pittsburgh, PA, 15224, USA
- Division of Hematology Oncology, University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Erika Friehling
- Department of Pediatrics, University of Pittsburgh Medical Center, 4401 Penn Avenue, 5th Floor Faculty Pavilion, Pittsburgh, PA, 15224, USA
- Division of Hematology Oncology, University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Kirsten Rose-Felker
- Department of Pediatrics, University of Pittsburgh Medical Center, 4401 Penn Avenue, 5th Floor Faculty Pavilion, Pittsburgh, PA, 15224, USA
- Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, USA
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5
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Puntmann VO, Martin S, Shchendrygina A, Hoffmann J, Ka MM, Giokoglu E, Vanchin B, Holm N, Karyou A, Laux GS, Arendt C, De Leuw P, Zacharowski K, Khodamoradi Y, Vehreschild MJGT, Rohde G, Zeiher AM, Vogl TJ, Schwenke C, Nagel E. Long-term cardiac pathology in individuals with mild initial COVID-19 illness. Nat Med 2022; 28:2117-2123. [PMID: 36064600 PMCID: PMC9556300 DOI: 10.1038/s41591-022-02000-0] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 08/08/2022] [Indexed: 01/03/2023]
Abstract
Cardiac symptoms are increasingly recognized as late complications of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in previously well individuals with mild initial illness, but the underlying pathophysiology leading to long-term cardiac symptoms remains unclear. In this study, we conducted serial cardiac assessments in a selected population of individuals with Coronavirus Disease 2019 (COVID-19) with no previous cardiac disease or notable comorbidities by measuring blood biomarkers of heart injury or dysfunction and by performing magnetic resonance imaging. Baseline measurements from 346 individuals with COVID-19 (52% females) were obtained at a median of 109 days (interquartile range (IQR), 77-177 days) after infection, when 73% of participants reported cardiac symptoms, such as exertional dyspnea (62%), palpitations (28%), atypical chest pain (27%) and syncope (3%). Symptomatic individuals had higher heart rates and higher imaging values or contrast agent accumulation, denoting inflammatory cardiac involvement, compared to asymptomatic individuals. Structural heart disease or high levels of biomarkers of cardiac injury or dysfunction were rare in symptomatic individuals. At follow-up (329 days (IQR, 274-383 days) after infection), 57% of participants had persistent cardiac symptoms. Diffuse myocardial edema was more pronounced in participants who remained symptomatic at follow-up as compared to those who improved. Female gender and diffuse myocardial involvement on baseline imaging independently predicted the presence of cardiac symptoms at follow-up. Ongoing inflammatory cardiac involvement may, at least in part, explain the lingering cardiac symptoms in previously well individuals with mild initial COVID-19 illness.
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Affiliation(s)
- Valentina O Puntmann
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.
| | - Simon Martin
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Anastasia Shchendrygina
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jedrzej Hoffmann
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.,Institute of Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Mame Madjiguène Ka
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eleni Giokoglu
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Byambasuren Vanchin
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Niels Holm
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Argyro Karyou
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Gerald S Laux
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christophe Arendt
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Kai Zacharowski
- Department of Anesthesiology, Intensive Care Medicine & Pain Therapy; Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Yascha Khodamoradi
- Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Maria J G T Vehreschild
- Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Gernot Rohde
- Department of Internal Medicine, Respiratory Medicine, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Andreas M Zeiher
- Institute of Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
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6
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Ananthapadmanabhan S, Vo G, Nguyen T, Dimitri H, Otton J. Direct comparison of multilayer left ventricular global longitudinal strain using CMR feature tracking and speckle tracking echocardiography. BMC Cardiovasc Disord 2021; 21:107. [PMID: 33607946 PMCID: PMC7893897 DOI: 10.1186/s12872-021-01916-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 01/29/2021] [Indexed: 12/22/2022] Open
Abstract
Background Cardiac magnetic resonance feature tracking (CMR-FT) and speckle tracking echocardiography (STE) are well-established strain imaging modalities. Multilayer strain measurement permits independent assessment of endocardial and epicardial strain. This novel and layer specific approach to evaluating myocardial deformation parameters may provide greater insight into cardiac contractility when compared to whole-layer strain analysis. The aim of this study is to validate CMR-FT as a tool for multilayer strain analysis by providing a direct comparison between multilayer global longitudinal strain (GLS) values between CMR-FT and STE. Methods We studied 100 patients who had an acute myocardial infarction (AMI), who underwent CMR imaging and echocardiogram at baseline and follow-up (48 ± 13 days). Dedicated tissue tracking software was used to analyse single- and multi-layer GLS values for CMR-FT and STE. Results Correlation coefficients for CMR-FT and STE were 0.685, 0.687, and 0.660 for endocardial, epicardial, and whole-layer GLS respectively (all p < 0.001). Bland Altman analysis showed good inter-modality agreement with minimal bias. The absolute limits of agreement in our study were 6.4, 5.9, and 5.5 for endocardial, whole-layer, and epicardial GLS respectively. Absolute biases were 1.79, 0.80, and 0.98 respectively. Intraclass correlation coefficient (ICC) values showed moderate agreement with values of 0.626, 0.632, and 0.671 respectively (all p < 0.001). Conclusion There is good inter-modality agreement between CMR-FT and STE for whole-layer, endocardial, and epicardial GLS, and although values should not be used interchangeably our study demonstrates that CMR-FT is a viable imaging modality for multilayer strain
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Affiliation(s)
| | - Giau Vo
- Faculty of Medicine, University of New South Wales, Sydney, 2052, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, 2170, Australia
| | - Tuan Nguyen
- Faculty of Medicine, University of New South Wales, Sydney, 2052, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, 2170, Australia
| | - Hany Dimitri
- Faculty of Medicine, University of New South Wales, Sydney, 2052, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, 2170, Australia
| | - James Otton
- Faculty of Medicine, University of New South Wales, Sydney, 2052, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, 2170, Australia
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7
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Backhaus SJ, Metschies G, Zieschang V, Erley J, Mahsa Zamani S, Kowallick JT, Lapinskas T, Pieske B, Lotz J, Kutty S, Hasenfuß G, Kelle S, Schuster A. Head-to-head comparison of cardiovascular MR feature tracking cine versus acquisition-based deformation strain imaging using myocardial tagging and strain encoding. Magn Reson Med 2020; 85:357-368. [PMID: 32851707 DOI: 10.1002/mrm.28437] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/29/2020] [Accepted: 06/26/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE Myocardial feature-tracking (FT) deformation imaging is superior for risk stratification compared with volumetric approaches. Because there is no clear recommendation regarding FT postprocessing, we compared different FT-strain analyses with reference standard techniques, including tagging and strain-encoded (SENC) MRI. METHODS Feature-tracking software from four different vendors (TomTec, Medis, Circle [CVI], and Neosoft), tagging (Segment), and fastSENC (MyoStrain) were used to determine left ventricular global circumferential strains (GCS) and longitudinal strains (GLS) in 12 healthy volunteers and 12 patients with heart failure. Variability and agreements were assessed using intraclass correlation coefficients for absolute agreement (ICCa) and consistency (ICCc) as well as Pearson correlation coefficients. RESULTS For FT-GCS, consistency was excellent comparing different FT vendors (ICCc = 0.84-0.97, r = 0.86-0.95) and in comparison to fast SENC (ICCc = 0.78-0.89, r = 0.73-0.81). FT-GCS consistency was excellent compared with tagging (ICCc = 0.79-0.85, r = 0.74-0.77) except for TomTec (ICCc = 0.68, r = 0.72). Absolute FT-GCS agreements among FT vendors were highest for CVI and Medis (ICCa = 0.96) and lowest for TomTec and Neosoft (ICCa = 0.32). Similarly, absolute FT-GCS agreements were excellent for CVI and Medis compared with both tagging and fast SENC (ICCa = 0.84-0.88), good to excellent for Neosoft (ICCa = 0.77 and 0.64), and lowest for TomTec (ICCa = 0.41 and 0.47). For FT-GLS, consistency was excellent (ICCc ≥ 0.86, r ≥ 0.76). Absolute agreements among FT vendors were excellent (ICCa = 0.91-0.93) or good to excellent for TomTec (ICCa = 0.69-0.85). Absolute agreements (ICCa) were good (CVI 0.70, Medis 0.60) and fair (TomTec 0.41, Neosoft 0.59) compared with tagging, but excellent compared with fast SENC (ICCa = 0.77-0.90). CONCLUSION Although absolute agreements differ depending on deformation assessment approaches, consistency and correlation are consistently high regardless of the method chosen, thus indicating reliable strain assessment. Further standardisation and introduction of uniform references is warranted for routine clinical implementation.
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Affiliation(s)
- Sören J Backhaus
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.,German Center for Cardiovascular Research, Göttingen, Göttingen, Germany
| | - Georg Metschies
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.,German Center for Cardiovascular Research, Göttingen, Göttingen, Germany
| | - Victoria Zieschang
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany
| | - Jennifer Erley
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany
| | - Seyedeh Mahsa Zamani
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany
| | - Johannes T Kowallick
- German Center for Cardiovascular Research, Göttingen, Göttingen, Germany.,University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen, Germany
| | - Tomas Lapinskas
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany.,German Centre for Cardiovascular Research, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Burkert Pieske
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany.,German Centre for Cardiovascular Research, Berlin, Germany
| | - Joachim Lotz
- German Center for Cardiovascular Research, Göttingen, Göttingen, Germany.,German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany
| | - Shelby Kutty
- Taussig Heart Center, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.,German Center for Cardiovascular Research, Göttingen, Göttingen, Germany
| | - Sebastian Kelle
- German Heart Center Berlin, Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, University of Berlin, Berlin, Germany.,German Centre for Cardiovascular Research, Berlin, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.,German Center for Cardiovascular Research, Göttingen, Göttingen, Germany
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Ananthapadmanabhan S, Deng E, Femia G, Tang S, Koh ES, Schuster A, Puranik R, Gupta P, Nguyen T, Dimitri H, Otton J. Intra- and inter-observer reproducibility of multilayer cardiac magnetic resonance feature tracking derived longitudinal and circumferential strain. Cardiovasc Diagn Ther 2020; 10:173-182. [PMID: 32420097 DOI: 10.21037/cdt.2020.01.10] [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] [Indexed: 12/31/2022]
Abstract
Background Multilayer strain measurement with cardiac magnetic resonance feature tracking (CMR-FT) allows independent assessment of endocardial and epicardial strain. This novel method of layer-specific quantification of myocardial deformation parameters provides greater insight into contractility compared to whole-layer strain analysis. The clinical utility of this technique is promising. The aim of this study is to investigate the intra- and inter- observer reproducibility of CMR-FT derived multilayer global longitudinal strain (GLS) and global circumferential strain (GCS) parameters in the setting of normal cardiac function, cardiac pathology, and differing MRI field strengths. Methods We studied 4 groups of 20 subjects, comprising of patients with dilated cardiomyopathy, ischemic heart disease, and patients without cardiac pathology at both 1.5 and 3 T. Quantitative measures of whole-layer and multi-layer longitudinal and circumferential strain were calculated using CMR-FT software. Results Intraclass correlation coefficients (ICC) for intraobserver reproducibility of endocardial, epicardial, and whole-layer measurements of GLS were 0.979, 0.980, and 0.978 respectively, and those for GCS were 0.986, 0.977, and 0.985. ICCs for inter-observer reproducibility of endocardial, epicardial, and whole-layer measurements of GLS were 0.976, 0.970, and 0.976, and those for GCS were 0.982, 0.969, and 0.981. Bland Altman analysis showed minimal bias and acceptable limits of agreement (LOA) within each patient subgroup and the overall cohort. Circumferential and longitudinal strain parameters were equally reproducible in the overall cohort. Conclusions CMR-FT derived multilayer measurements of longitudinal and circumferential strain demonstrate high intra- and inter- observer reproducibility, with suitability for use in clinical practice.
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Affiliation(s)
| | - Echo Deng
- Faculty of Medicine, University of New South Wales, Bossley Park, Sydney, NSW, Australia
| | - Giuseppe Femia
- Cardiology Department, Liverpool Hospital, Liverpool, Sydney, Australia
| | - Simon Tang
- Cardiology Department, Liverpool Hospital, Liverpool, Sydney, Australia
| | - Eng-Siew Koh
- Department of Radiation Oncology, Liverpool Hospital, Liverpool, Sydney, Australia
| | - Andreas Schuster
- Department of Cardiology, Royal North Shore Hospital, The Kolling Institute, Northern Clinical School, University of Sydney, Sydney, Australia.,University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany
| | - Raj Puranik
- Cardiology Department, Royal Prince Alfred Hospital, Newtown, Sydney, Australia
| | - Pankaj Gupta
- Cardiology Department, Royal Prince Alfred Hospital, Newtown, Sydney, Australia
| | - Tuan Nguyen
- Faculty of Medicine, University of New South Wales, Bossley Park, Sydney, NSW, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, Australia
| | - Hany Dimitri
- Faculty of Medicine, University of New South Wales, Bossley Park, Sydney, NSW, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, Australia
| | - James Otton
- Faculty of Medicine, University of New South Wales, Bossley Park, Sydney, NSW, Australia.,Cardiology Department, Liverpool Hospital, Liverpool, Sydney, Australia
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