Strain imaging using cardiac magnetic resonance

Scatteia, Alessandra; Baritussio, Anna; Bucciarelli-Ducci, Chiara

doi:10.1007/s10741-017-9621-8

Cited by 280 publications

(248 citation statements)

References 87 publications

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“…The agreement was particularly good for regions distal from the basal anchoring zone (total mean strain difference of 0.029). While in vivo imaging techniques often suffer from tag fading and low spatial resolution to measure reproducible strains in the RV, our FE models produce these strains easily. This level of systematic strain analysis (ie, regional for both ventricles) at both end diastole and end systole (whereas Palit et al only studied diastolic distributions) is state‐of‐the‐art and plays an important role for clinical decision making .…”

Section: Discussionmentioning

confidence: 99%

Kinematic boundary conditions substantially impact in silico ventricular function

Peirlinck

Sack

Backer

et al. 2018

Numer Methods Biomed Eng

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Computational cardiac mechanical models, individualized to the patient, have the potential to elucidate the fundamentals of cardiac (patho-)physiology, enable non-invasive quantification of clinically significant metrics (eg, stiffness, active contraction, work), and anticipate the potential efficacy of therapeutic cardiovascular intervention. In a clinical setting, however, the available imaging resolution is often limited, which limits cardiac models to focus on the ventricles, without including the atria, valves, and proximal arteries and veins. In such models, the absence of surrounding structures needs to be accounted for by imposing realistic kinematic boundary conditions, which, for prognostic purposes, are preferably generic and thus non-image derived. Unfortunately, the literature on cardiac models shows no consistent approach to kinematically constrain the myocardium. The impact of different approaches (eg, fully constrained base, constrained epi-ring) on the predictive capacity of cardiac mechanical models has not been thoroughly studied. For that reason, this study first gives an overview of current approaches to kinematically constrain (bi) ventricular models. Next, we developed a patient-specific in silico biventricular model that compares well with literature and in vivo recorded strains. Alternative constraints were introduced to assess the influence of commonly used mechanical boundary conditions on both the predicted global functional behavior of the in-silico heart (cavity volumes, stroke volume, ejection fraction) and local strain distributions. Meaningful differences in global functioning were found between different kinematic anchoring strategies, which brought forward the importance of selecting appropriate boundary conditions for biventricular models that, in the near future, may inform clinical intervention. However, whilst statistically significant differences were also found in local strain distributions, these differences were minor and mostly confined to the region close to the applied boundary conditions.

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Section: Discussionmentioning

confidence: 99%

Kinematic boundary conditions substantially impact in silico ventricular function

Peirlinck

Sack

Backer

et al. 2018

Numer Methods Biomed Eng

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“…To assess ventricular contractility, tissue tracking analysis was performed on cine imaging. Strain was measured as the total deformation of the myocardium from its baseline length to its maximum length, and is expressed as a percentage . Left ventricular circumferential strain was measured on the short axis at base, mid‐ventricular and apical level, left ventricular longitudinal strain was measured on the four‐chamber and two‐chamber cine images, and right ventricular longitudinal strain was measured on the four‐chamber view.…”

Section: Methodsmentioning

confidence: 99%

Epicardial fat in heart failure patients with mid‐range and preserved ejection fraction

Woerden

Gorter

Westenbrink

et al. 2018

European J of Heart Fail

193

180

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Aims Adipose tissue and inflammation may play a role in the pathophysiology of patients with heart failure (HF) with mildly reduced or preserved ejection fraction. We therefore investigated epicardial fat in patients with HF with preserved (HFpEF) and mid‐range ejection fraction (HFmrEF), and related this to co‐morbidities, plasma biomarkers and cardiac structure. Methods and results A total of 64 HF patients with left ventricular ejection fraction >40% and 20 controls underwent routine cardiac magnetic resonance examination. Epicardial fat volume was quantified on short‐axis cine stacks covering the entire epicardium and was related to clinical correlates, biomarkers associated with inflammation and myocardial injury, and cardiac function and contractility on cardiac magnetic resonance. HF patients and controls were of comparable age, sex and body mass index. Total epicardial fat volume was significantly higher in HF patients compared to controls (107 mL/m 2 vs. 77 mL/m 2 , P <0.0001). HF patients with atrial fibrillation and/or type 2 diabetes mellitus had more epicardial fat than HF patients without these co‐morbidities (116 vs. 100 mL/m 2 , P =0.03, and 120 vs. 97 mL/m 2 , P =0.001, respectively). Creatine kinase‐MB, troponin T and glycated haemoglobin in patients with HF were positively correlated with epicardial fat volume (R =0.37, P =0.006; R =0.35, P =0.01; and R =0.42, P =0.002, respectively). Conclusion Heart failure patients had more epicardial fat compared to controls, despite similar body mass index. Epicardial fat volume was associated with the presence of atrial fibrillation and type 2 diabetes mellitus and with biomarkers related to myocardial injury. The clinical implications of these findings are unclear, but warrant further investigation.

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“…Normal (absolute) peak LV longitudinal strain with FT is reported to be higher than 20% [16]. The absolute peak value of 17.4% in this study indicates decreased longitudinal contraction in the LV.…”

Section: Discussionmentioning

confidence: 58%

Myocardial tissue characterization in patients with hereditary gelsolin (AGel) amyloidosis using novel cardiovascular magnetic resonance techniques

Lehmonen

Kaasalainen

Atula

et al. 2019

Int J Cardiovasc Imaging

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Gelsolin (AGel) amyloidosis is a hereditary condition with common neurological effects. Myocardial involvement, especially strain, T1, or extracellular volume (ECV), in this disease has not been investigated before. Local myocardial effects and possible amyloid accumulation were the targets of interest in this study. Fifty patients with AGel amyloidosis were enrolled in the study. All patients underwent cardiovascular magnetic resonance imaging, including cine imaging, T1 mapping, tagging, and late gadolinium enhancement (LGE) imaging at 1.5 T. Results for volumetry, myocardial feature-tracking strain, rotation, torsion, native T1, ECV, and LGE were investigated. The population mean native T1 values in different segments of the left ventricle (LV) varied between 1003 and 1080 ms. Myocardial mean T1 was 1031 ± 37 ms. T1 was highest in the basal plane of the LV (1055 ± 40 ms), similarly to ECV (30.0% ± 4.4%). ECV correlated with native T1 in all LV segments (p < 0.005). Basal LGE was detected in 76% of patients, and mid-ventricular LGE in 32%. LV longitudinal strain was impaired (− 17.4% ± 2.6%), significantly decreasing apical rotation (p = 0.018) and concurrently myocardial torsion (p = 0.005). LV longitudinal strain correlated with mean T1 and ECV of different LV planes (p < 0.04; basal p < 0.01). Myocardial involvement in AGel amyloidosis is significant, but the effects are local, focusing on the basal plane of the LV.

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Strain imaging using cardiac magnetic resonance

Cited by 280 publications

References 87 publications

Kinematic boundary conditions substantially impact in silico ventricular function

Kinematic boundary conditions substantially impact in silico ventricular function

Epicardial fat in heart failure patients with mid‐range and preserved ejection fraction

Myocardial tissue characterization in patients with hereditary gelsolin (AGel) amyloidosis using novel cardiovascular magnetic resonance techniques

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