ArticleThe international journal of cardiovascular imaging2012
Comparison of cardiac MRI tissue tracking and myocardial tagging for assessment of regional ventricular strain.
Article in The international journal of cardiovascular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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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
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Effect of atrial fibrillation ablation on myocardial function: insights from cardiac magnetic resonance feature tracking analysis.The international journal of cardiovascular imaging · 2013Pooled it
- Overview of immune checkpoint inhibitor associated myocarditis mechanisms diagnostics and treatment.Frontiers in immunology · 2025Review
- Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview.Diagnostics (Basel, Switzerland) · 2023Review
- Advanced imaging of fetal cardiac function.Frontiers in cardiovascular medicine · 2023Review
- Age- and sex-specific reference values of biventricular strain and strain rate derived from a large cohort of healthy Chinese adults: a cardiovascular magnetic resonance feature tracking study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Article
- Impact of pulmonary valve replacement on left ventricular rotational mechanics in repaired tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021Article
- Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021Article
- DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.Frontiers in cardiovascular medicine · 2021Article
- Tissue-tracking in the assessment of late gadolinium enhancement in myocarditis and myocardial infarction.Magnetic resonance imaging · 2020Article
- Multimodality Imaging for the Assessment of Severe Aortic Stenosis.Journal of cardiovascular imaging · 2019Review
- Multimodality imaging for real-time image-guided left ventricular lead placement during cardiac resynchronization therapy implantations.The international journal of cardiovascular imaging · 2019Article
- Myocardial strain imaging: review of general principles, validation, and sources of discrepancies.European heart journal. Cardiovascular Imaging · 2019Review
- Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla.Scientific reports · 2019Article
- Assessment of global and regional strain left ventricular in patients with preserved ejection fraction after Fontan operation using a tissue tracking technique.The international journal of cardiovascular imaging · 2019Article
- Comparison of left ventricular strains and torsion derived from feature tracking and DENSE CMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018Article
- Impact of surgical pulmonary valve replacement on ventricular strain and synchrony in patients with repaired tetralogy of Fallot: a cardiovascular magnetic resonance feature tracking study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018Article
- Comparison of strain imaging techniques in CRT candidates: CMR tagging, CMR feature tracking and speckle tracking echocardiography.The international journal of cardiovascular imaging · 2018Article
- Myocardial deformation assessment using cardiovascular magnetic resonance-feature tracking technique.The British journal of radiology · 2017Review
- Strain analysis in CRT candidates using the novel segment length in cine (SLICE) post-processing technique on standard CMR cine images.European radiology · 2017Article
- Assessment of reverse remodeling predicted by myocardial deformation on tissue tracking in patients with severe aortic stenosis: a cardiovascular magnetic resonance imaging study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
This study sought to compare regional measures of ventricular strain by tissue tracking (TT) to those derived from myocardial tagging (MT) within cardiac MR (CMR), in normal subjects and patients with hypertrophic cardiomyopathy. CMR images from 13 normal subjects and 11 subjects with hypertrophic cardiomyopathy were retrospectively analyzed. For each subject, equivalent mid-papillary level short-axis cine steady-state free precession and MT slices from the same examination were evaluated. The time to peak circumferential strain and magnitude of the peak strain were calculated for 6 matched left ventricular segments. Data from 24 slices (n = 144 segments) were compared. The mean difference between techniques in magnitude of peak strain and time to peak strain was 1 ± 9% and 1 ± 58 ms, respectively. The mean difference in the standard deviation of time to peak strain within a slice was 0 ± 19 ms (mean cardiac cycle duration 1,013 ± 204 ms). Bland-Altman analysis showed closer agreement in time to peak strain than peak strain magnitude. Measurements of segmental time to peak strain by TT and MT were in close agreement; agreement for the magnitude of peak segmental strain was more modest. The TT approach does not add to CMR examination time and may be a useful tool for the assessment of ventricular synchrony.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.