ArticleESC heart failure2020
Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain.
Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic value of cardiac magnetic resonance derived global longitudinal strain analysis in patients with ischaemic and non-ischaemic dilated cardiomyopathy: a systematic review and meta-analysis.The international journal of cardiovascular imaging · 2022Pooled it
- Cardiovascular magnetic resonance-derived left atrioventricular coupling index and major adverse cardiac events in patients following acute myocardial infarction.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Trial
- Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.Scientific reports · 2022Trial
- Myocardial fibrosis is associated with worse left ventricular strain and synchrony assessed by novel CMR imaging in the general population: data from the Akershus Cardiac examination 1950 study.The international journal of cardiovascular imaging · 2026Article
- Design and rationale of the WE-CARE-HF-CMR trial: Cardiorenal care on wheels for asymptomatic heart failure patients (NCT07185100).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- The Feasibility and Reproducibility of Measuring Myocardial Performance Index Using Two-Dimensional Phase Contrast Imaging in Patients with Congenital Heart Disease.Pediatric cardiology · 2026Article
- A multicenter study on the comparability of myocardial strain values acquired with different CMR scanners and analyzed with different post-processing software: insights into the "Traveling Volunteers" study.International journal of computer assisted radiology and surgery · 2026Article
- Head-to-head comparison of left ventricular strain assessed by CMR post-processing tools and fast strain-ENCoded imagingEuropean heart journal. Imaging methods and practice · 2026Article
- Reproducibility assessment of biventricular strain derived from Long-Axis feature tracking in travelling Volunteers - A study in the Berlin research network for cardiovascular magnetic resonance (BER-CMR).The international journal of cardiovascular imaging · 2025Article
- The strain-8 study: a multimodal scan-rescan assessment of myocardial strain repeatability.European heart journal. Imaging methods and practice · 2025Article
- Imaging application in ventricular arrhythmia of ischemic cardiomyopathy: diagnosis, treatment and prognosis.Echo research and practice · 2025Review
- TagGen: Diffusion-based generative model for cardiac MR tagging super resolution.Magnetic resonance in medicine · 2025Article
- How we scan cardiac anatomy and function using cardiovascular magnetic resonance: a practical video guide.European heart journal. Imaging methods and practice · 2025Article
- Multiparametric quantitative structural and functional cardiac MRI in orthotopic heart transplant recipients with cardiac allograft vasculopathy.The international journal of cardiovascular imaging · 2025Article
- Cardiac Magnetic Resonance in Heart Failure: Diagnostic and Prognostic Assessments.Journal of cardiovascular development and disease · 2025Review
- Validation of in Vivo Myocardial Strain with PET Derived Feature Tracking: Direct Comparison with Tagging-Cine Magnetic Resonance.Annals of nuclear cardiology · 2025Article
- Improve myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric.BMC medical imaging · 2024Article
- Prognostic Value of Left Ventricular Myocardial Strain Parameters Derived from Cardiac Magnetic Resonance Feature Tracking Technique in Light-Chain Cardiac Amyloidosis Patients: A Pilot Study.Reviews in cardiovascular medicine · 2024Article
- Unveiling the Diagnostic Value of Strain Parameters Across All 4 Cardiac Chambers in Patients With Acute Myocarditis With Varied Ejection Fraction: A Cardiovascular Magnetic Resonance Feature-Tracking Approach.Journal of the American Heart Association · 2024Article
- A simplified approach to discriminate between healthy subjects and patients with heart failure using cardiac magnetic resonance myocardial deformation imaging.European heart journal. Imaging methods and practice · 2024Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsA 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
resultsEighteen 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.
conclusionsWe 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.
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