1
|
Werner O, Martins D, Bertini F, Bennati E, Collia D, Olivotto I, Spaziani G, Baruteau AE, Pedrizzetti G, Raimondi F. Comparative analysis of left ventricle function and deformation imaging in short and long axis plane in cardiac magnetic resonance imaging. Front Cardiovasc Med 2024; 11:1388171. [PMID: 38756751 PMCID: PMC11097778 DOI: 10.3389/fcvm.2024.1388171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Background Advancements in cardiac imaging have revolutionized our understanding of ventricular contraction. While ejection fraction (EF) is still the gold standard parameter to assess left ventricle (LV) function, strain imaging (SI) has provided valuable insights into ventricular mechanics. The lack of an integrative method including SI parameters in a single, validated formula may limit its use. Our aim was to compare different methods for evaluating global circumferential strain (GCS) and their relationship with global longitudinal strain (GLS) and EF in CMR and how the different evaluations fit in the theoretical relationship between EF and global strain. Methods Retrospective monocenter study. Inclusion of every patient who underwent a CMR during a 15 months period with various clinical indication (congenital heart defect, myocarditis, cardiomyopathy). A minimum of three LV long-axis planes and a stack of short-axis slices covering the LV using classical steady-state free precession cine sequences. A single assessment of GLS on long axis (LAX) slices and a double assessment of GCS and EF with both short axis (SAX) and LAX slices were made by a single experienced CMR investigator. Results GCS-SAX and GCS-LAX were correlated (r = 0.77, P < 0.001) without being interchangeable with a high reproducibility for GCS, GLS and EF. EF calculated from LAX images showed an overestimation compared to EF derived from SAX images of 7%. The correlation between calculated EF and theoretical EF derived from SI was high (r = 0.88 with EF-SAX, 0.95 with EF-LAX). Data conclusion This study highlights the need to integrate strain imaging techniques into clinical by incorporating strain parameters into EF calculations, because it gives a deeper understanding of cardiac mechanics.
Collapse
Affiliation(s)
- Oscar Werner
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
- Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, CHU Nantes, Nantes, France
| | - Duarte Martins
- Pediatric and Adult Congenital Cardiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Federico Bertini
- Pediatric Radiology Department, University Hospital Meyer, Florence, Italy
| | - Elena Bennati
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Dario Collia
- Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Iacopo Olivotto
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Gaia Spaziani
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
| | - Alban-Elouen Baruteau
- Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, CHU Nantes, Nantes, France
| | - Gianni Pedrizzetti
- Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Francesca Raimondi
- Pediatric Cardiology Unit, University Hospital Meyer, Florence, Italy
- Pediatric and Adult Congenital Cardiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| |
Collapse
|
2
|
Bolz C, Blaszczyk E, Mayr T, Lim C, Haufe S, Jordan J, Barckow P, Gröschel J, Schulz-Menger J. Adiposity influences on myocardial deformation: a cardiovascular magnetic resonance feature tracking study in people with overweight to obesity without established cardiovascular disease. Int J Cardiovasc Imaging 2024; 40:643-654. [PMID: 38308113 PMCID: PMC10951011 DOI: 10.1007/s10554-023-03034-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 12/13/2023] [Indexed: 02/04/2024]
Abstract
The objective of this study was to assess whether dietary-induced weight loss improves myocardial deformation in people with overweight to obesity without established cardiovascular disease applying cardiovascular magnetic resonance (CMR) with feature tracking (FT) based strain analysis. Ninety people with overweight to obesity without established cardiovascular disease (age 44.6 ± 9.3 years, body mass index (BMI) 32.6 ± 4 kg/m2) underwent CMR. We retrospectively quantified FT based strain and LA size and function at baseline and after a 6-month hypocaloric diet, with either low-carbohydrate or low-fat intake. The study cohort was compared to thirty-four healthy normal-weight controls (age 40.8 ± 16.0 years, BMI 22.5 ± 1.4 kg/m2). At baseline, the study cohort with overweight to obesity without established cardiovascular disease displayed significantly increased global circumferential strain (GCS), global radial strain (GRS) and LA size (all p < 0.0001 versus controls) but normal global longitudinal strain (GLS) and normal LA ejection fraction (all p > 0.05 versus controls). Dietary-induced weight loss led to a significant reduction in GCS, GRS and LA size irrespective of macronutrient composition (all p < 0.01). In a population with overweight to obesity without established cardiovascular disease subclinical myocardial changes can be detected applying CMR. After dietary-induced weight loss improvement of myocardial deformation could be shown. A potential clinical impact needs further studies.
Collapse
Affiliation(s)
- Constantin Bolz
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Edyta Blaszczyk
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
| | - Thomas Mayr
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Carolin Lim
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Sven Haufe
- Clinic for Rehabilitation and Sports Medicine, Hannover Medical School, Hannover, Germany
| | - Jens Jordan
- Institute of Aerospace Medicine, German Aerospace Center, Cologne, Germany
| | - Philipp Barckow
- Circle Cardiovascular Imaging Inc., Calgary, Alberta, Canada
| | - Jan Gröschel
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany.
- Helios Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
| |
Collapse
|
3
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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.
| |
Collapse
|
4
|
Hashemi D, Doeblin P, Blum M, Weiss KJ, Schneider M, Beyer R, Pieske B, Duengen HD, Edelmann F, Kelle S. Reduced functional capacity is associated with the proportion of impaired myocardial deformation assessed in heart failure patients by CMR. Front Cardiovasc Med 2023; 10:1038337. [PMID: 36844739 PMCID: PMC9947709 DOI: 10.3389/fcvm.2023.1038337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023] Open
Abstract
Aims Heart failure (HF) does not only reduce the life expectancy in patients, but their life is also often limited by HF symptoms leading to a reduced quality of life (QoL) and a diminished exercise capacity. Novel parameters in cardiac imaging, including both global and regional myocardial strain imaging, promise to contribute to better patient characterization and ultimately to better patient management. However, many of these methods are not part of clinical routine yet, their associations with clinical parameters have been poorly studied. An imaging parameters that also indicate the clinical symptom burden of HF patients would make cardiac imaging more robust toward incomplete clinical information and support the clinical decision process. Methods and results This prospective study conducted at two centers in Germany between 2017 and 2018 enrolled stable outpatient subjects with HF [n = 56, including HF with reduced ejection fraction (HFrEF), HF with mid-range ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF)] and a control cohort (n = 19). Parameters assessed included measures for external myocardial function, for example, cardiac index and myocardial deformation measurements by cardiovascular magnetic resonance imaging, left ventricular global longitudinal strain (GLS), the global circumferential strain (GCS), and the regional distribution of segment deformation within the LV myocardium, as well as basic phenotypical characteristics including the Minnesota Living with Heart Failure Questionnaire (MLHFQ) and the 6-minute walk test (6MWT). If less than 80% of the LV segments are preserved in their deformation capacity the functional capacity by 6MWT (6 minutes walking distance: MyoHealth ≥ 80%: 579.8 ± 177.6 m; MyoHealth 60-<80%: 401.3 ± 121.7 m; MyoHealth 40-<60%: 456.4 ± 68.9 m; MyoHealth < 40%: 397.6 ± 125.9 m, overall p-value: 0.03) as well as the symptom burden are significantly impaired (NYHA class: MyoHealth ≥ 80%: 0.6 ± 1.1 m; MyoHealth 60-<80%: 1.7 ± 1.2 m; MyoHealth 40-<60%: 1.8 ± 0.7 m; MyoHealth < 40%: 2.4 ± 0.5 m; overall p-value < 0.01). Differences were also observed in the perceived exertion assessed by on the Borg scale (MyoHealth ≥ 80%: 8.2 ± 2.3 m; MyoHealth 60-<80%: 10.4 ± 3.2 m; MyoHealth 40-<60%: 9.8 ± 2.1 m; MyoHealth < 40%: 11.0 ± 2.9 m; overall p-value: 0.20) as well as quality of life measures (MLHFQ; MyoHealth ≥ 80%: 7.5 ± 12.4 m; MyoHealth 60-<80%: 23.4 ± 23.4 m; MyoHealth 40-<60%: 20.5 ± 21.2 m; MyoHealth < 40%: 27.4 ± 24.4 m; overall p-value: 0.15)-while these differences were not significant. Conclusion The share of LV segments with preserved myocardial contraction promises to discriminate between symptomatic and asymptomatic subjects based on the imaging findings, even when the LV ejection fraction is preserved. This finding is promising to make imaging studies more robust toward incomplete clinical information.
Collapse
Affiliation(s)
- Djawid Hashemi
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany,*Correspondence: Djawid Hashemi,
| | - Patrick Doeblin
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Moritz Blum
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Karl Jakob Weiss
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Matthias Schneider
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany
| | - Rebecca Beyer
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Hans-Dirk Duengen
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany
| | - Frank Edelmann
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Department of Internal Medicine and Cardiology, German Heart Institute Berlin, Berlin, Germany,German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| |
Collapse
|
5
|
Zlibut A, Cojocaru C, Onciul S, Agoston-Coldea L. Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview. Diagnostics (Basel) 2023; 13. [PMID: 36766658 DOI: 10.3390/diagnostics13030553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Subclinical alterations in myocardial structure and function occur early during the natural disease course. In contrast, clinically overt signs and symptoms occur during late phases, being associated with worse outcomes. Identification of such subclinical changes is critical for timely diagnosis and accurate management. Hence, implementing cost-effective imaging techniques with accuracy and reproducibility may improve long-term prognosis. A growing body of evidence supports using cardiac magnetic resonance (CMR) to quantify deformation parameters. Tissue-tagging (TT-CMR) and feature-tracking CMR (FT-CMR) can measure longitudinal, circumferential, and radial strains and recent research emphasize their diagnostic and prognostic roles in ischemic heart disease and primary myocardial illnesses. Additionally, these methods can accurately determine LV wringing and functional dynamic geometry parameters, such as LV torsion, twist/untwist, LV sphericity index, and long-axis strain, and several studies have proved their utility in prognostic prediction in various cardiovascular patients. More recently, few yet important studies have suggested the superiority of fast strain-encoded imaging CMR-derived myocardial strain in terms of accuracy and significantly reduced acquisition time, however, more studies need to be carried out to establish its clinical impact. Herein, the current review aims to provide an overview of currently available data regarding the role of CMR in evaluating myocardial strain and biomechanics.
Collapse
|
6
|
Rajiah PS, Kalisz K, Broncano J, Goerne H, Collins JD, François CJ, Ibrahim ES, Agarwal PP. Myocardial Strain Evaluation with Cardiovascular MRI: Physics, Principles, and Clinical Applications. Radiographics 2022; 42:968-990. [PMID: 35622493 DOI: 10.1148/rg.210174] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Myocardial strain is a measure of myocardial deformation, which is a more sensitive imaging biomarker of myocardial disease than the commonly used ventricular ejection fraction. Although myocardial strain is commonly evaluated by using speckle-tracking echocardiography, cardiovascular MRI (CMR) is increasingly performed for this purpose. The most common CMR technique is feature tracking (FT), which involves postprocessing of routinely acquired cine MR images. Other CMR strain techniques require dedicated sequences, including myocardial tagging, strain-encoded imaging, displacement encoding with stimulated echoes, and tissue phase mapping. The complex systolic motion of the heart can be resolved into longitudinal strain, circumferential strain, radial strain, and torsion. Myocardial strain metrics include strain, strain rate, displacement, velocity, torsion, and torsion rate. Wide variability exists in the reference ranges for strain dependent on the imaging technique, analysis software, operator, patient demographics, and hemodynamic factors. In anticancer therapy cardiotoxicity, CMR myocardial strain can help identify left ventricular dysfunction before the decline of ejection fraction. CMR myocardial strain is also valuable for identifying patients with left ventricle dyssynchrony who will benefit from cardiac resynchronization therapy. CMR myocardial strain is also useful in ischemic heart disease, cardiomyopathies, pulmonary hypertension, and congenital heart disease. The authors review the physics, principles, and clinical applications of CMR strain techniques. Online supplemental material is available for this article. ©RSNA, 2022.
Collapse
Affiliation(s)
- Prabhakar Shantha Rajiah
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Kevin Kalisz
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Jordi Broncano
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Harold Goerne
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Jeremy D Collins
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Christopher J François
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - El-Sayed Ibrahim
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Prachi P Agarwal
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| |
Collapse
|
7
|
Mohammadi E, Nasiraei-Moghaddam A, Uecker M. Real-time radial tagging for quantification of left ventricular torsion. Magn Reson Med 2022; 87:2741-2756. [PMID: 35081262 DOI: 10.1002/mrm.29169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 12/14/2021] [Accepted: 01/05/2022] [Indexed: 11/07/2022]
Abstract
PURPOSE To develop a real-time radial tagging MRI for accurate measurement of rotational motion and twist of the left ventricle (LV). METHODS A FLASH-based radial tagging sequence with an undersampled radial reading scheme was developed for both single and double-slice imaging in real-time. The Polar Fourier Transform was used for reconstruction to push the undersampling artifacts out of a reduced FOV. The developed technique was used to image five normal subjects during rest, plus one during both exercise and rest conditions. LV rotational motions were estimated for five consecutive cardiac cycles in all cases. The process was validated using a numerical phantom. The real-time measurement of global rotational motion was compared with those measured from a non-real-time exam using linear regression analysis and the Bland-Altman plot. RESULTS The real-time acquisition was performed successfully with a temporal resolution of 46.2 ms. Image quality was sufficient for the reproducible calculation of rotation at rest and exercise. The feasibility of double-slice acquisition on human was further studied and a real-time twist of the left ventricle was demonstrated. The difference between LV global rotations from real-time and non-real-time approaches was 0.27 degrees. A significant reverse recoiling, induced by exercise, was reproducibly measured by the technique. CONCLUSION A real-time radial tagging MRI technique was developed based on the undersampled radial acquisition and Polar Fourier Transform reconstruction, for accurate measuring of the heart rotational motion and twist. The technique was able to extract a meaningful change of diastolic recoiling under stress test conditions during physical activities (cycling).
Collapse
Affiliation(s)
- Elham Mohammadi
- Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Abbas Nasiraei-Moghaddam
- Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Martin Uecker
- Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany.,Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany.,Campus Institute Data Science (CIDAS), University of Göttingen, Göttingen, Germany
| |
Collapse
|
8
|
Weise Valdés E, Barth P, Piran M, Laser KT, Burchert W, Körperich H. Left-Ventricular Reference Myocardial Strain Assessed by Cardiovascular Magnetic Resonance Feature Tracking and fSENC-Impact of Temporal Resolution and Cardiac Muscle Mass. Front Cardiovasc Med 2021; 8:764496. [PMID: 34796219 PMCID: PMC8593240 DOI: 10.3389/fcvm.2021.764496] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/11/2021] [Indexed: 11/16/2022] Open
Abstract
Aims: Cardiac strain parameters are increasingly measured to overcome shortcomings of ejection fraction. For broad clinical use, this study provides reference values for the two strain assessment methods feature tracking (FT) and fast strain-encoded (fSENC) cardiovascular magnetic resonance (CMR) imaging, including the child/adolescent group and systematically evaluates the influence of temporal resolution and muscle mass on strain. Methods and Results: Global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain values in 181 participants (54% women, 11–70 years) without cardiac illness were assessed with FT (CVI42® software). GLS and GCS were also analyzed using fSENC (MyoStrain® software) in a subgroup of 84 participants (60% women). Fourteen patients suffering hypertrophic cardiomyopathy (HCM) were examined with both techniques. CMR examinations were done on a 3.0T MR-system. FT-GLS, FT-GCS, and FT-GRS were −16.9 ± 1.8%, −19.2 ± 2.1% and 34.2 ± 6.1%. fSENC-GLS was higher at −20.3 ± 1.8% (p < 0.001). fSENC-GCS was comparable at−19.7 ± 1.8% (p = 0.06). All values were lower in men (p < 0.001). Cardiac muscle mass correlated (p < 0.001) with FT-GLS (r = 0.433), FT-GCS (r = 0.483) as well as FT-GRS (r = −0.464) and acts as partial mediator for sex differences. FT-GCS, FT-GRS and fSENC-GLS correlated weakly with age. FT strain values were significantly lower at lower cine temporal resolutions, represented by heart rates (r = −0.301, −0.379, 0.385) and 28 or 45 cardiac phases per cardiac cycle (0.3–1.9% differences). All values were lower in HCM patients than in matched controls (p < 0.01). Cut-off values were −15.0% (FT-GLS), −19.3% (FT-GCS), 32.7% (FT-GRS), −17.2% (fSENC-GLS), and −17.7% (fSENC-GCS). Conclusion: The analysis of reference values highlights the influence of gender, temporal resolution, cardiac muscle mass and age on myocardial strain values.
Collapse
Affiliation(s)
- Elena Weise Valdés
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Peter Barth
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Kai Thorsten Laser
- Center for Congenital Heart Defects, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| |
Collapse
|
9
|
Schuster A, Thiele H, Katus H, Werdan K, Eitel I, Zeiher AM, Baldus S, Rolf A, Kelle S. Kompetenz und Innovation in der kardiovaskulären MRT: Stellungnahme der Deutschen Gesellschaft für Kardiologie – Herz- und Kreislaufforschung. Kardiologe 2021. [PMCID: PMC8361824 DOI: 10.1007/s12181-021-00494-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Diese Stellungnahme der Deutschen Gesellschaft für Kardiologie (DGK) beschäftigt sich mit der Bedeutung kardiologischer Kompetenz im Gebiet der kardiovaskulären Magnetresonanztomographie (CMR) und deren Aus- und Wechselwirkungen auf klinisches Management im Bereich der Diagnostik, Therapieplanung und Therapie von kardiologischen Patienten. Zahlreiche Innovationen sowohl im technischen als auch klinischen Bereich der CMR basieren auf Publikationen deutscher und europäischer Kardiologen und haben Einzug in die nationalen, europäischen und auch US-amerikanischen Leitlinien gefunden. Hier sollen Empfehlungen zur sicheren, qualitativ hochwertigen und kompetenten Durchführung von CMR-Untersuchungen gegeben werden, im Sinne einer optimalen Nutzung dieser Technik mit unmittelbarer klinischer Einordnung des Untersuchungsergebnisses für die Planung einer Therapiestrategie des kardiovaskulär erkrankten Patienten.
Collapse
Affiliation(s)
- Andreas Schuster
- Herzzentrum, Klinik für Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen, Robert-Koch-Str. 40, 37099 Göttingen, Deutschland
- Partner Site Göttingen, Deutsches Zentrum für Herz-Kreislauf-Forschung, Göttingen, Deutschland
| | - Holger Thiele
- Herzzentrum Leipzig, Klinik für Innere Medizin und Kardiologie, Universität Leipzig, Leipzig, Deutschland
- Leipzig Heart Science gGmbH, Leipzig, Deutschland
| | - Hugo Katus
- Medizinische Klinik III, Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - Karl Werdan
- Klinik und Poliklinik für Innere Medizin III, Universitätsklinikum Halle (Saale), Halle (Saale), Deutschland
| | - Ingo Eitel
- Medizinische Klinik II – Universitäres Herzzentrum Lübeck, Universitätsklinikum Schleswig-Holstein, Lübeck, Deutschland
| | - Andreas M. Zeiher
- Klinik für Kardiologie, Universitätsklinikum Frankfurt, Frankfurt, Deutschland
| | - Stephan Baldus
- Medizinische Klinik III – Abteilung für Kardiologie, Pneumologie, Angiologie und Intensivmedizin, Universität Köln, Köln, Deutschland
| | - Andreas Rolf
- Klinik für Kardiologie, Herz‑, Lungen‑, Gefäß- und Rheumazentrum, Kerckhoff-Klinik, Bad Nauheim, Deutschland
| | - Sebastian Kelle
- Deutsches Herzzentrum Berlin, Berlin, Deutschland
- Klinik für Innere Medizin und Kardiologie, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, Berlin, Deutschland
- Partner Site Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung, Berlin, Deutschland
| |
Collapse
|
10
|
Ibrahim EH, Frank L, Baruah D, Arpinar VE, Nencka AS, Koch KM, Muftuler LT, Unal O, Stojanovska J, Rubenstein JC, Brown SA, Charlson J, Gore EM, Bergom C. Value CMR: Towards a Comprehensive, Rapid, Cost-Effective Cardiovascular Magnetic Resonance Imaging. Int J Biomed Imaging 2021; 2021:8851958. [PMID: 34054936 DOI: 10.1155/2021/8851958] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 03/17/2021] [Accepted: 05/06/2021] [Indexed: 11/18/2022] Open
Abstract
Cardiac magnetic resonance imaging (CMR) is considered the gold standard for measuring cardiac function. Further, in a single CMR exam, information about cardiac structure, tissue composition, and blood flow could be obtained. Nevertheless, CMR is underutilized due to long scanning times, the need for multiple breath-holds, use of a contrast agent, and relatively high cost. In this work, we propose a rapid, comprehensive, contrast-free CMR exam that does not require repeated breath-holds, based on recent developments in imaging sequences. Time-consuming conventional sequences have been replaced by advanced sequences in the proposed CMR exam. Specifically, conventional 2D cine and phase-contrast (PC) sequences have been replaced by optimized 3D-cine and 4D-flow sequences, respectively. Furthermore, conventional myocardial tagging has been replaced by fast strain-encoding (SENC) imaging. Finally, T1 and T2 mapping sequences are included in the proposed exam, which allows for myocardial tissue characterization. The proposed rapid exam has been tested in vivo. The proposed exam reduced the scan time from >1 hour with conventional sequences to <20 minutes. Corresponding cardiovascular measurements from the proposed rapid CMR exam showed good agreement with those from conventional sequences and showed that they can differentiate between healthy volunteers and patients. Compared to 2D cine imaging that requires 12-16 separate breath-holds, the implemented 3D-cine sequence allows for whole heart coverage in 1-2 breath-holds. The 4D-flow sequence allows for whole-chest coverage in less than 10 minutes. Finally, SENC imaging reduces scan time to only one slice per heartbeat. In conclusion, the proposed rapid, contrast-free, and comprehensive cardiovascular exam does not require repeated breath-holds or to be supervised by a cardiac imager. These improvements make it tolerable by patients and would help improve cost effectiveness of CMR and increase its adoption in clinical practice.
Collapse
|
11
|
Hashemi D, Motzkus L, Blum M, Kraft R, Tanacli R, Tahirovic E, Doeblin P, Zieschang V, Zamani SM, Kelm M, Kuehne T, Pieske B, Alogna A, Edelmann F, Duengen HD, Kelle S. Myocardial deformation assessed among heart failure entities by cardiovascular magnetic resonance imaging. ESC Heart Fail 2021; 8:890-897. [PMID: 33539681 PMCID: PMC8006725 DOI: 10.1002/ehf2.13193] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 09/30/2020] [Accepted: 12/21/2020] [Indexed: 12/15/2022] Open
Abstract
AIMS Although heart failure (HF) is a leading cause for hospitalization and mortality, normalized and comparable non-invasive assessment of haemodynamics and myocardial action remains limited. Moreover, myocardial deformation has not been compared between the guideline-defined HF entities. The distribution of affected and impaired segments within the contracting left ventricular (LV) myocardium have also not been compared. Therefore, we assessed myocardial function impairment by strain in patients with HF and control subjects by magnetic resonance imaging after clinically phenotyping these patients. METHODS AND RESULTS This prospective study conducted at two centres in Germany between 2017 and 2018 enrolled stable outpatient subjects with HF [n = 56, including HF with reduced ejection fraction (HFrEF), HF with mid-range ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF)] and a control cohort (n = 12). Parameters assessed included measures for external myocardial function, for example, cardiac index and myocardial deformation measurements by cardiovascular magnetic resonance imaging, left ventricular global longitudinal strain (GLS), the global circumferential strain (GCS) and the regional distribution of segment deformation within the LV myocardium, as well as basic phenotypical characteristics. Comparison of the cardiac indices at rest showed no differences neither between the HF groups nor between the control group and HF patients (one-way ANOVA P = 0.70). The analysis of the strain data revealed differences between all groups in both LV GLS (One-way ANOVA: P < 0.01. Controls vs. HFpEF: -20.48 ± 1.62 vs. -19.27 ± 1.25. HFpEF vs. HFmrEF: -19.27 ± 1.25 vs. -15.72 ± 2.76. HFmrEF vs. HFrEF: -15.72 ± 2.76 vs. -11.51 ± 3.97.) and LV GCS (One-way ANOVA: P < 0.01. Controls vs. HFpEF: -19.74 ± 2.18 vs. -17.47 ± 2.10. HFpEF vs. HFmrEF: -17.47 ± 2.10 vs. -12.78 ± 3.47. HFrEF: -11.41 ± 3.27). Comparing the segment deformation distribution patterns highlighted the discriminating effect between the groups was much more prominent between the groups (one-way ANOVA P < 0.01) when compared by a score combining regional effects and a global view on the LV. Further analyses of the patterns among the segments affected showed that while the LVEF is preserved in HFpEF, the segments impaired in their contractility are located in the ventricular septum. The worse the LVEF is, the more segments are affected, but the septum remains an outstanding location with the most severe contractility impairment throughout the HF entities. CONCLUSIONS While cardiac index at rest did not differ significantly between controls and stable HF patients suffering from HFrEF, HFmrEF, or HFpEF, the groups did differ significantly in LV GLS and LV GCS values. Regional strain analysis revealed that the LV septum is the location affected most, with reduced values already visible in HFpEF and further reductions in HFmrEF and HFrEF.
Collapse
Affiliation(s)
- Djawid Hashemi
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Laura Motzkus
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Moritz Blum
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Robin Kraft
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Radu Tanacli
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| | - Elvis Tahirovic
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Patrick Doeblin
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.,Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| | - Victoria Zieschang
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| | - S Mahsa Zamani
- Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| | - Marcus Kelm
- Charité-Universitätsmedizin Berlin, Institute for Computational and Imaging Science in Cardiovascular Medicine, Berlin, Germany
| | - Titus Kuehne
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Institute for Computational and Imaging Science in Cardiovascular Medicine, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.,Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| | - Alessio Alogna
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Frank Edelmann
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Hans-Dirk Duengen
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.,Department of Internal Medicine and Cardiology, German Heart Institute Berlin (DHZB), Augustenburger Platz 1, Berlin, 13353, Germany
| |
Collapse
|
12
|
Wang TKM, Kwon DH, Griffin BP, Flamm SD, Popović ZB. Defining the Reference Range for Left Ventricular Strain in Healthy Patients by Cardiac MRI Measurement Techniques: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2021; 217:569-83. [PMID: 33084383 DOI: 10.2214/AJR.20.24264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND. Echocardiography is the primary noninvasive technique for left ventricular (LV) strain measurement. MRI has potential advantages, although reference ranges and thresholds to differentiate normal from abnormal left ventricular global longitudinal strain (LVGLS), left ventricular global circumferential strain (LVGCS), and left ventricular global radial strain (LVGRS) are not yet established. OBJECTIVE. The purpose of our study was to determine the mean and lower limit of normal (LLN) of MRI-derived LV strain measurements in healthy patients and explore factors potentially influencing these measurements. EVIDENCE ACQUISITION. PubMed, Embase, and Cochrane Library databases were searched for studies published through January 1, 2020, that reported MRI-derived LV strain measurements in at least 30 healthy individuals. Mean and LLN measurements of LV strain were pooled using random-effects models overall and for studies stratified by measurement method (feature tracking [FT] or tagging). Additional subgroup and meta-regression analyses were performed. EVIDENCE SYNTHESIS. Twenty-three studies with a total of 1782 healthy subjects were included. Pooled means and LLNs for all studies were -18.6% (95% CI, -19.5% to -17.6%) and -13.3% (-13.9% to 12.7%) for LVGLS, -21.0% (-22.4% to -19.6%) and -15.6% (-17.0% to -14.3%) for LVGCS, and 38.7% (30.5-46.9%) and 20.6% (15.1-26.1%) for LVGRS. Pooled means and LLNs for LVGLS by strain measurement method were -19.4% (95% CI, -20.6% to -18.1%) and -13.1% (-14.2% to -12.0%) for FT and -15.6% (-16.2% to -15.1%) and -13.1% (-14.1% to -12.2%) for tagging. A later year of study publication, increasing patient age, and increasing body mass index were associated with more negative mean LVGLS values. An increasing LV end-diastolic volume index was associated with less negative mean LVGLS values. No factor was associated with LLN of LVGLS. CONCLUSION. We determined the pooled means and LLNs, with associated 95% CIs, for LV strain by cardiac MRI to define thresholds for normal, abnormal, and borderline strain in healthy patients. The method of strain measurement by MRI affected the mean LVGLS. No factor affected the LLN of LVGLS. CLINICAL IMPACT. This meta-analysis lays a foundation for clinical adoption of MRI-derived LV strain measurements, with management implications in both healthy patients and patients with various disease states.
Collapse
|
13
|
Bergom C, Rubenstein J, Wilson JF, Welsh A, Ibrahim ESH, Prior P, Schottstaedt AM, Eastwood D, Zhang MJ, Currey A, Puckett L, Strande JL, Bradley JA, White J. A Pilot Study of Cardiac MRI in Breast Cancer Survivors After Cardiotoxic Chemotherapy and Three-Dimensional Conformal Radiotherapy. Front Oncol 2020; 10:506739. [PMID: 33178571 PMCID: PMC7596658 DOI: 10.3389/fonc.2020.506739] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 09/02/2020] [Indexed: 12/13/2022] Open
Abstract
PURPOSE/OBJECTIVES Node-positive breast cancer patients often receive chemotherapy and regional nodal irradiation. The cardiotoxic effects of these treatments, however, may offset some of the survival benefit. Cardiac magnetic resonance (CMR) is an emerging modality to assess cardiac injury. This is a pilot trial assessing cardiac damage using CMR in patients who received anthracycline-based chemotherapy and three-dimensional conformal radiotherapy (3DCRT) regional nodal irradiation using heart constraints. MATERIALS AND METHODS Node-positive breast cancer patients (2000-2008) treated with anthracycline-based chemotherapy and 3DCRT regional nodal irradiation (including the internal mammary chain nodes) with heart ventricular constraints (V25 < 10%) were invited to participate. Cardiac tissues were contoured and analyzed separately for whole heart (pericardium) and for combined ventricles and left atrium (myocardium). CMR obtained ventricular function/dimensions, late gadolinium enhancement (LGE), global longitudinal strain (GLS), and extracellular volume fraction (ECV) as measures of cardiac injury and/or early fibrosis. CMR parameters were correlated with dose-volume constraints using Spearman correlations. RESULTS Fifteen left-sided and five right-sided patients underwent CMR. Median diagnosis age was 50 (32-77). No patients had baseline cardiac disease before regional nodal irradiation. Median time after 3DCRT was 8.3 years (5.2-14.4). Median left-sided mean heart dose (MHD) was 4.8 Gy (1.1-11.2) and V25 was 5.7% (0-12%). Median left ventricular ejection fraction (LVEF) was 63%. No abnormal LGE was observed. No correlations were seen between whole heart doses and LVEF, LV mass, GLS, or LV dimensions. Increasing ECV did not correlate with increased heart or ventricular doses. However, correlations between higher LV mass and ventricular mean dose, V10, and V25 were seen. CONCLUSION At a median follow-up of 8.3 years, this cohort of node-positive breast cancer patients who received anthracycline-based chemotherapy and regional nodal irradiation had no clinically abnormal CMR findings. However, correlations between ventricular mean dose, V10, and V25 and LV mass were seen. Larger corroborating studies that include advanced techniques for measuring regional heart mechanics are warranted.
Collapse
Affiliation(s)
- Carmen Bergom
- Department of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jason Rubenstein
- Department of Medicine, Division of Cardiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - J. Frank Wilson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Aimee Welsh
- Department of Medicine, Division of Cardiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - El-Sayed H. Ibrahim
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Phillip Prior
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | | | - Daniel Eastwood
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Mei-Jie Zhang
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Adam Currey
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Lindsay Puckett
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jennifer L. Strande
- Department of Medicine, Division of Cardiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Julie A. Bradley
- Department of Radiation Oncology, University of Florida College of Medicine, Jacksonville, FL, United States
| | - Julia White
- Department of Radiation Oncology, James Cancer Hospital, The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States
| |
Collapse
|
14
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
15
|
Erley J, Tanacli R, Genovese D, Tapaskar N, Rashedi N, Bucius P, Kawaji K, Karagodin I, Lang RM, Kelle S, Mor-Avi V, Patel AR. Myocardial strain analysis of the right ventricle: comparison of different cardiovascular magnetic resonance and echocardiographic techniques. J Cardiovasc Magn Reson 2020; 22:51. [PMID: 32698811 PMCID: PMC7376701 DOI: 10.1186/s12968-020-00647-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 06/12/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Right ventricular (RV) strain is a useful predictor of prognosis in various cardiovascular diseases, including those traditionally believed to impact only the left ventricle. We aimed to determine inter-modality and inter-technique agreement in RV longitudinal strain (LS) measurements between currently available cardiovascular magnetic resonance (CMR) and echocardiographic techniques, as well as their reproducibility and the impact of layer-specific strain measurements. METHODS RV-LS was determined in 62 patients using 2D speckle tracking echocardiography (STE, Epsilon) and two CMR techniques: feature tracking (FT) and strain-encoding (SENC), and in 17 healthy subjects using FT and SENC only. Measurements included global and free-wall LS (GLS, FWLS). Inter-technique agreement was assessed using linear regression and Bland-Altman analysis. Reproducibility was quantified using intraclass correlation (ICC) and coefficients of variation (CoV). RESULTS We found similar moderate agreement between both CMR techniques and STE in patients: r = 0.57-0.63 for SENC; r = 0.50-0.62 for FT. The correlation between SENC and STE was better for GLS (r = 0.63) than for FWLS (r = 0.57). Conversely, the correlation between FT and STE was higher for FWLS (r = 0.60-0.62) than GLS (r = 0.50-0.54). FT-midmyocardial strain correlated better with SENC and STE than FT-subendocardial strain. The agreement between SENC and FT was fair (r = 0.36-0.41, bias: - 6.4 to - 10.4%) in the entire study group. All techniques except FT showed excellent reproducibility (ICC: 0.62-0.96, CoV: 0.04-0.30). CONCLUSIONS We found only moderate inter-modality agreement with STE in RV-LS for both FT and SENC and poor agreement when comparing between the CMR techniques. Different modalities and techniques should not be used interchangeably to determine and monitor RV strain.
Collapse
Affiliation(s)
- Jennifer Erley
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
| | - Radu Tanacli
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
| | - Davide Genovese
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Natalie Tapaskar
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Nina Rashedi
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Paulius Bucius
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
| | - Keigo Kawaji
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL USA
| | - Ilya Karagodin
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Roberto M. Lang
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Sebastian Kelle
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
- Charité Campus Virchow Klinikum, Department of Internal Medicine/Cardiology, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Victor Mor-Avi
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Amit R. Patel
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| |
Collapse
|
16
|
Blum M, Hashemi D, Motzkus LA, Neye M, Dordevic A, Zieschang V, Zamani SM, Lapinskas T, Runte K, Kelm M, Kühne T, Tahirovic E, Edelmann F, Pieske B, Düngen HD, Kelle S. Variability of Myocardial Strain During Isometric Exercise in Subjects With and Without Heart Failure. Front Cardiovasc Med 2020; 7:111. [PMID: 32714945 PMCID: PMC7344153 DOI: 10.3389/fcvm.2020.00111] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 05/28/2020] [Indexed: 12/28/2022] Open
Abstract
Background: Fast strain-encoded cardiac magnetic resonance imaging (cMRI, fast-SENC) is a novel technology potentially improving characterization of heart failure (HF) patients by quantifying cardiac strain. We sought to describe the impact of isometric handgrip exercise (HG) on cardiac strain assessed by fast-SENC in HF patients and controls. Methods: Patients with stable HF and controls were examined using cMRI at rest and during HG. Left ventricular (LV) global longitudinal strain (GLS) and global circumferential (GCS) were derived from image analysis software using fast-SENC. Strain change < -0.5 and > +0.5 was classified as increase and decrease, respectively. Results: The study population comprised 72 subjects, including HF with reduced, mid-range and preserved ejection fraction and controls (HFrEF n = 18 HFmrEF n = 18, HFpEF n = 17, controls: n = 19). In controls, LV GLS remained stable in 36.8%, increased in 36.8% and decreased in 26.3% of subjects during HG. In HF subgroups, similar patterns of LV GLS response were observed (HFpEF: stable 41.2%, increase 35.3%, decrease: 23.5%; HFmrEF: stable 50.0%, increase 16.7%, decrease: 33.3%; HFrEF: stable 33.3%, increase 22.2%, decrease: 44.4%, p = 0.668). Mean change between LV GLS at rest and during HG ranged close to zero with broad standard deviation in all subgroups and was not significantly different between subgroups (+1.2 ± 5.4%, -0.6 ± 8.3%, -1.7 ± 10.7%, and -3.1 ± 19.4%, p = 0.746 in controls, HFpEF, HFmrEF and HFrEF, respectively). However, the absolute value of LV GLS change-irrespective of increase or decrease-was significantly different between subgroups with 4.4 ± 3.2% in controls, 5.9 ± 5.7% in HFpEF, 6.8 ± 8.3% in HFmrEF and 14.1 ± 13.3% in HFrEF (p = 0.005). The absolute value of LV GLS change significantly correlated with resting LVEF, NTproBNP and Minnesota Living with Heart Failure questionnaire scores. Conclusion: The response to isometric exercise in LV GLS is heterogeneous in all HF subgroups and in controls. The absolute value of LV GLS change during HG exercise is elevated in HF patients and associated with measures of HF severity. The diagnostic utility of fast-SENC strain assessment in conjunction with HG appears to be limited. Trial Registration: URL: https://www.drks.de; Unique Identifier: DRKS00015615.
Collapse
Affiliation(s)
- Moritz Blum
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Djawid Hashemi
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany
| | - Laura Astrid Motzkus
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Marthe Neye
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Aleksandar Dordevic
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Seyedeh Mahsa Zamani
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Kilian Runte
- Department of Congenital Heart Disease, German Heart Center Berlin, Berlin, Germany.,Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Marcus Kelm
- Department of Congenital Heart Disease, German Heart Center Berlin, Berlin, Germany.,Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Titus Kühne
- DZHK (German Center for Cardiovascular Research), Berlin, Germany.,Department of Congenital Heart Disease, German Heart Center Berlin, Berlin, Germany.,Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Elvis Tahirovic
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany
| | - Frank Edelmann
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany.,Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Hans-Dirk Düngen
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Berlin, Germany.,Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| |
Collapse
|
17
|
Erley J, Zieschang V, Lapinskas T, Demir A, Wiesemann S, Haass M, Osman NF, Simonetti OP, Liu Y, Patel AR, Mor-Avi V, Unal O, Johnson KM, Pieske B, Hansmann J, Schulz-Menger J, Kelle S. A multi-vendor, multi-center study on reproducibility and comparability of fast strain-encoded cardiovascular magnetic resonance imaging. Int J Cardiovasc Imaging 2020; 36:899-911. [PMID: 32056087 PMCID: PMC7174273 DOI: 10.1007/s10554-020-01775-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/11/2020] [Indexed: 01/23/2023]
Abstract
Myocardial strain is a convenient parameter to quantify left ventricular (LV) function. Fast strain-encoding (fSENC) enables the acquisition of cardiovascular magnetic resonance images for strain-measurement within a few heartbeats during free-breathing. It is necessary to analyze inter-vendor agreement of techniques to determine strain, such as fSENC, in order to compare existing studies and plan multi-center studies. Therefore, the aim of this study was to investigate inter-vendor agreement and test-retest reproducibility of fSENC for three major MRI-vendors. fSENC-images were acquired three times in the same group of 15 healthy volunteers using 3 Tesla scanners from three different vendors: at the German Heart Institute Berlin, the Charité University Medicine Berlin-Campus Buch and the Theresien-Hospital Mannheim. Volunteers were scanned using the same imaging protocol composed of two fSENC-acquisitions, a 15-min break and another two fSENC-acquisitions. LV global longitudinal and circumferential strain (GLS, GCS) were analyzed by a trained observer (Myostrain 5.0, Myocardial Solutions) and for nine volunteers repeatedly by another observer. Inter-vendor agreement was determined using Bland-Altman analysis. Test-retest reproducibility and intra- and inter-observer reproducibility were analyzed using intraclass correlation coefficient (ICC) and coefficients of variation (CoV). Inter-vendor agreement between all three sites was good for GLS and GCS, with biases of 0.01–1.88%. Test-retest reproducibility of scans before and after the break was high, shown by ICC- and CoV values of 0.63–0.97 and 3–9% for GLS and 0.69–0.82 and 4–7% for GCS, respectively. Intra- and inter-observer reproducibility were excellent for both parameters (ICC of 0.77–0.99, CoV of 2–5%). This trial demonstrates good inter-vendor agreement and test–retest reproducibility of GLS and GCS measurements, acquired at three different scanners from three different vendors using fSENC. The results indicate that it is necessary to account for a possible bias (< 2%) when comparing strain measurements of different scanners. Technical differences between scanners, which impact inter-vendor agreement, should be further analyzed and minimized. DRKS Registration Number: 00013253. Universal Trial Number (UTN): U1111-1207-5874.
Collapse
Affiliation(s)
- Jennifer Erley
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Aylin Demir
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Stephanie Wiesemann
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Markus Haass
- Department of Internal Medicine/Cardiology/Angiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Nael F Osman
- Department of Radiology and Radiological Science, School of Medicine, John Hopkins University, Baltimore, MD, USA.,Myocardial Solutions, Inc, Morrisville, NC, USA
| | - Orlando P Simonetti
- Departments of Internal Medicine and Radiology, The Ohio State University, Columbus, OH, USA
| | - Yingmin Liu
- Dorothy M. Davis Heart and Lung Research Institute, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Amit R Patel
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Victor Mor-Avi
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Orhan Unal
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Kevin M Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Jeanette Schulz-Menger
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. .,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany. .,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
| |
Collapse
|
18
|
Bucius P, Erley J, Tanacli R, Zieschang V, Giusca S, Korosoglou G, Steen H, Stehning C, Pieske B, Pieske-Kraigher E, Schuster A, Lapinskas T, Kelle S. Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain. ESC Heart Fail 2019; 7:523-532. [PMID: 31800152 PMCID: PMC7160507 DOI: 10.1002/ehf2.12576] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/10/2019] [Accepted: 11/11/2019] [Indexed: 01/11/2023] Open
Abstract
AIMS A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques. METHODS AND RESULTS Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS. CONCLUSIONS We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.
Collapse
Affiliation(s)
- Paulius Bucius
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Jennifer Erley
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Radu Tanacli
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Sorin Giusca
- Department of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany
| | - Grigorious Korosoglou
- Department of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany
| | - Henning Steen
- Department of Internal Medicine/Cardiology, Marienkrankenhaus Hamburg, Hamburg, Germany
| | | | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany
| | - Elisabeth Pieske-Kraigher
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany
| |
Collapse
|
19
|
Kawaji K, Nazir N, Blair JA, Mor-Avi V, Besser S, Matsumoto K, Goes JP, Dabir D, Stoiber L, Kelle S, Zamani SM, Holzhauser L, Lang RM, Patel AR. Quantitative detection of changes in regional wall motion using real time strain-encoded cardiovascular magnetic resonance. Magn Reson Imaging 2019; 66:193-198. [PMID: 31484044 DOI: 10.1016/j.mri.2019.08.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 07/21/2019] [Accepted: 08/31/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Keigo Kawaji
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
| | - Noreen Nazir
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - John A Blair
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Victor Mor-Avi
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Stephanie Besser
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Kohei Matsumoto
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Jacob P Goes
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Darius Dabir
- Department of Radiology, University of Bonn, Bonn, Germany
| | - Lukas Stoiber
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany; Department of Cardiology, Charité-University-Medicine Berlin, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Germany
| | | | - Luise Holzhauser
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Roberto M Lang
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| | - Amit R Patel
- Department of Medicine-Section of Cardiology, University of Chicago Medical Center, Chicago, IL, USA
| |
Collapse
|
20
|
Lapinskas T, Hireche-Chikaoui H, Zieschang V, Erley J, Stehning C, Gebker R, Giusca S, Korosoglou G, Zaliunas R, Backhaus SJ, Schuster A, Pieske B, Kelle S. Effect of comprehensive initial training on the variability of left ventricular measures using fast-SENC cardiac magnetic resonance imaging. Sci Rep 2019; 9:12223. [PMID: 31434950 DOI: 10.1038/s41598-019-48685-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 08/09/2019] [Indexed: 12/31/2022] Open
Abstract
Cardiac magnetic resonance (CMR) is becoming the imaging modality of choice in multicenter studies where highly reproducible measurements are necessary. The purpose of this study was to assess the effect of comprehensive initial training on reproducibility of quantitative left ventricular (LV) parameters estimated using strain-encoded (SENC) imaging. Thirty participants (10 patients with heart failure (HF) and preserved LV ejection fraction (HFpEF), 10 patients with HF and reduced LV ejection fraction (HFrEF) and 10 healthy volunteers) were examined using fast-SENC imaging. Four observers with different experience in non-invasive cardiac imaging completed comprehensive initial training course and were invited to perform CMR data analysis. To assess agreement between observers, LV volumes, mass, ejection fraction (LVEF), global longitudinal strain (GLS) and global circumferential strain (GCS) were estimated using dedicated software (MyoStrain, USA). To test intraobserver agreement data analysis was repeated after 4 weeks. SENC imaging and analysis were fast and were completed in less than 5 minutes. LV end-diastolic volume index (LVEDVi), LVEF and strain were significantly lower in HFpEF patients than in healthy volunteers (p = 0.019 for LVEDVi; p = 0.023 for LVEF; p = 0.004 for GLS and p < 0.001 for GCS). All LV functional parameters were further reduced in HFrEF. Excellent interobserver agreement was found for all LV parameters independently of the level of experience. The reproducibility of LV mass was lower, especially at the intraobserver level (ICC 0.91; 95% CI 0.74–0.96). LV volumetric and functional parameters derived using fast-SENC imaging, are highly reproducible. The appropriate initial training is relevant and allows to achieve highest concordance in fast-SENC measurements.
Collapse
|