Trial reportScientific reports2016
A Novel Method for Estimating Myocardial Strain: Assessment of Deformation Tracking Against Reference Magnetic Resonance Methods in Healthy Volunteers.
Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed.
- [Study on direct ventricular assist loading mode based on a finite element method].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.Biomechanics and modeling in mechanobiology · 2022Article
- Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.International journal for numerical methods in biomedical engineering · 2022Article
- Regional end-systolic circumferential strain demonstrates compensatory segmental contractile function in patients with ST-segment elevation myocardial infarction.Journal of biomechanics · 2021Article
- A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021Article
- The feasibility of a novel limited field of view spiral cine DENSE sequence to assess myocardial strain in dilated cardiomyopathy.Magma (New York, N.Y.) · 2019Article
- Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla.Scientific reports · 2019Article
- A Novel Hierarchical Template Matching Model for Cardiac Motion Estimation.Scientific reports · 2018Article
- Quantification of Biventricular Strains in Heart Failure With Preserved Ejection Fraction Patient Using Hyperelastic Warping Method.Frontiers in physiology · 2018Article
- Characterizing Cardiac Involvement in Chronic Kidney Disease Using CMR-a Systematic Review.Current cardiovascular imaging reports · 2018Review
- Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models.Scientific reports · 2017Article
- A coupled mitral valve-left ventricle model with fluid-structure interaction.Medical engineering & physics · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
We developed a novel method for tracking myocardial deformation using cardiac magnetic resonance (CMR) cine imaging. We hypothesised that circumferential strain using deformation-tracking has comparable diagnostic performance to a validated method (Displacement Encoding with Stimulated Echoes- DENSE) and potentially diagnostically superior to an established cine-strain method (feature-tracking). 81 healthy adults (44.6 ± 17.7 years old, 47% male), without any history of cardiovascular disease, underwent CMR at 1.5 T including cine, DENSE, and late gadolinium enhancement in subjects >45 years. Acquisitions were divided into 6 segments, and global and segmental peak circumferential strain were derived and analysed by age and sex. Peak circumferential strain differed between the 3 groups (DENSE: -19.4 ± 4.8%; deformation-tracking: -16.8 ± 2.4%; feature-tracking: -28.7 ± 4.8%) (ANOVA with Tukey post-hoc, F-value 279.93, p < 0.01). DENSE and deformation-tracking had better reproducibility than feature-tracking. Intra-class correlation co-efficient was >0.90. Larger magnitudes of strain were detected in women using deformation-tracking and DENSE, but not feature-tracking. Compared with a reference method (DENSE), deformation-tracking using cine imaging has similar diagnostic performance for circumferential strain assessment in healthy individuals. Deformation-tracking could potentially obviate the need for bespoke strain sequences, reducing scanning time and is more reproducible than feature-tracking.
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