ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2018
A comparison of both DENSE and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain.
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.
- Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes.Scientific reports · 2024Pooled it
- Local electromechanical alterations determine the left ventricle rotational dynamics in CRT-eligible heart failure patients.Scientific reports · 2021Trial
- Sequential Changes in Right Ventricular Strain During the Development of Pulmonary Hypertension Assessed With Magnetic Resonance Feature Tracking: An Animal Study.Korean journal of radiology · 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
- Equivalence of feature-tracking-derived myocardial strain across spatial resolution and compressed sensing acceleration.The international journal of cardiovascular imaging · 2026Article
- The strain-8 study: a multimodal scan-rescan assessment of myocardial strain repeatability.European heart journal. Imaging methods and practice · 2025Article
- CMR-Derived Strain and Torsion Reveal Subclinical Dysfunction in Hypertrophic Cardiomyopathy: A Prospective Case-Control Study.Biomedicines · 2025Article
- Validation of in Vivo Myocardial Strain with PET Derived Feature Tracking: Direct Comparison with Tagging-Cine Magnetic Resonance.Annals of nuclear cardiology · 2025Article
- Adiposity influences on myocardial deformation: a cardiovascular magnetic resonance feature tracking study in people with overweight to obesity without established cardiovascular disease.The international journal of cardiovascular imaging · 2024Article
- Distinguishing heart failure subtypes: the diagnostic power of different cardiac magnetic resonance imaging parameters.Frontiers in cardiovascular medicine · 2024Article
- The Interfield Strength Agreement of Left Ventricular Strain Measurements at 1.5 T and 3 T Using Cardiac MRI Feature Tracking.Journal of magnetic resonance imaging : JMRI · 2023Article
- Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a prospective study?Magnetic resonance imaging · 2023Article
- Localized strain characterization of cardiomyopathy in Duchenne muscular dystrophy using novel 4D kinematic analysis of cine cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- A head-to-head comparison of fast-SENC and feature tracking to LV long axis strain for assessment of myocardial deformation in chest pain patients.BMC medical imaging · 2022Article
- MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.IEEE transactions on medical imaging · 2022Article
- Novel Approaches to Imaging the Pulmonary Vasculature and Right Heart.Circulation research · 2022Review
- Myocardial strain imaging in Duchenne muscular dystrophy.Frontiers in cardiovascular medicine · 2022Review
- Recent technologies in cardiac imaging.Frontiers in medical technology · 2022Review
- Comparing left atrial indices by CMR in association with left ventricular diastolic dysfunction and adverse clinical outcomes.Scientific reports · 2021Article
- Myofiber strain in healthy humans using DENSE and cDTI.Magnetic resonance in medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMyocardial strain is increasingly recognized as an important assessment for myocardial function. In addition, it also improves outcome prediction. However, there is lack of standardization in strain evaluation by cardiovascular magnetic resonance (CMR). In this study we compared strain values using multiple techniques and multiple vendor products.
methodsProspectively recruited patients with cardiomyopathy of diverse etiology (N = 77) and healthy controls (N = 10) underwent CMR on a 1.5 T scanner. Tagging, displacement encoding with stimulated echoes (DENSE) and balanced stead state free precession cine imaging were acquired on all subjects. A single matched mid left ventricular (LV) short axis plane was used for the comparisons of peak circumferential (Ecc) and radial strain (Err) and a 4-chamber view for longitudinal strain (Ell). Tagging images were analyzed using harmonic phase (HARP) and displacement encoding with stimulated echoes (DENSE) images using a proprietary program. Feature tracking (FT) was evaluated using 3 commercially available software from Tomtec Imaging Systems, Cardiac Image Modeller (CIM), and Circle Cardiovascular Imaging. Tagging data were used as reference. Statistic analyses were performed using paired t-test, intraclass correlation coefficient (ICC), Bland Altman limits of agreement and coefficient of variations.
resultsAverage LV ejection fraction was 50% (range 32 to 62%). Regional LV wall motion abnormalities were present in 48% of the analyzed planes. The average Ecc was - 13 ± 4%, - 13 ± 4%, - 16 ± 6%, - 10 ± 3% and - 14 ± 4% for tagging, DENSE, Tomtec, CIM and Circle, respectively, with the best agreement seen in DENSE and Circle with tagging. The Err was highly varied with poor agreement across the techniques, 32 ± 24%, 40 ± 28%, 47 ± 26%, 64 ± 33% and 23 ± 9% for tagging, DENSE, Tomtec, CIM and Circle, respectively. The average Ell was - 14 ± 4%, - 8 ± 3%, - 13 ± 5%, - 11 ± 3% and - 12 ± 4% for tagging, DENSE, Tomtec, CIM and Circle, respectively with the best agreement seen in Tomtec and Circle with tagging. In the intra- and inter-observer agreement analysis the reproducibility of each technique was good except for Err by HARP.
conclusionsSmall but important differences are evident in Ecc and Ell comparisons among vendors while large differences are seen in Err assessment. Our findings suggest that CMR strain values are technique and vendor dependent. Hence, it is essential to develop reference standard from each technique and analytical product for clinical use, and to sequentially compare patient data using the same software.
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