Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values

Taylor, Robin J.; Moody, William E.; Umar, Fraz; Edwards, Nicola C.; Taylor, Tiffany J.; Stegemann, Berthold; Townend, Jonathan N.; Hor, Kan N.; Steeds, Richard P.; Mazur, Wojciech; Leyva, Francisco

doi:10.1093/ehjci/jev006

Cited by 208 publications

(202 citation statements)

References 34 publications

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“…Longitudinal strain at 3.0T was numerically higher for females, with a P value approaching statistical significance. These results are similar to what has been published in previous studies by Lawton et al16 using tagging, and Taylor et al17 using feature‐tracking. On the other hand, other authors, including Augustine et al,18 using feature‐tracking, Neizel et al19 using SENC, and Kuznetsova et al20 using echocardiography found that women had similar circumferential and longitudinal strain to men.…”

Section: Discussionsupporting

confidence: 92%

“…On reviewing the literature, it seems that there is no clear consensus on the relationship between age and strain. Oxenham et al23 and Neizel et al19 (Supplementary Table 1) did not observe any association between age and strain when assessed using tagged MR. Taylor et al17 described a positive association between circumferential strain but not longitudinal strain with age in individuals over the age of 50 years. Kuznetsova et al20 using echocardiography in 236 healthy subjects found that strain was inversely associated with age, consistent with the results at 3.0T in our study.…”

Section: Discussionmentioning

confidence: 99%

“…For feature tracking at 1.5T,16 an interobserver coefficient of variation between 5.48% and 17.3% was reported for longitudinal strain, and between 4.9% and 13.3% for circumferential strain. For feature tracking at 3.0T, an interobserver coefficient of variation between 16.3% and 26.4% for longitudinal strain and between 9.9% and 20.3% for circumferential strain17, 18, 29, 30 was reported. Reproducibility with DENSE is higher than with Tagging 30.…”

Section: Discussionmentioning

confidence: 99%

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Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex

Mangion

Clerfond

McComb

et al. 2016

Magnetic Resonance Imaging

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PurposeTo assess myocardial strain using cine displacement encoding with stimulated echoes (DENSE) using 1.5T and 3.0T MRI in healthy adults.Materials and MethodsHealthy adults without any history of cardiovascular disease underwent magnetic resonance imaging (MRI) at 1.5T and 3.0T within 2 days. The MRI protocol included balanced steady‐state free‐precession (b‐SSFP), 2D cine‐echo planar imaging (EPI)‐DENSE, and late gadolinium enhancement in subjects >45 years. Acquisitions were divided into six segments; global and segmental peak longitudinal and circumferential strain were derived and analyzed by field strength, age, and gender.ResultsIn all, 89 volunteers (mean age 44.8 ± 18.0 years, range: 18–87 years) underwent MRI at 1.5T, and 88 of these subjects underwent MRI at 3.0T (1.4 ± 1.4 days between the scans). Compared with 3.0T, the magnitudes of global circumferential (–19.5 ± 2.6% vs. –18.47 ± 2.6%; P = 0.001) and longitudinal (–12.47 ± 3.2% vs. –10.53 ± 3.1%; P = 0.004) strain were greater at 1.5T. At 1.5T, longitudinal strain was greater in females than in males: –10.17 ± 3.4% vs. –13.67 ± 2.4%; P = 0.001. Similar observations occurred for circumferential strain at 1.5T (–18.72 ± 2.2% vs. –20.10 ± 2.7%; P = 0.014) and at 3.0T (–17.92 ± 1.8% vs. –19.1 ± 3.1%; P = 0.047). At 1.5T, longitudinal and circumferential strain were not associated with age after accounting for sex (longitudinal strain P = 0.178, circumferential strain P = 0.733). At 3.0T, longitudinal and circumferential strain were associated with age (P < 0.05). Longitudinal strain values were greater in the apico‐septal, basal‐lateral, and mid‐lateral segments and circumferential strain in the inferior, infero‐lateral, and antero‐lateral LV segments.ConclusionMyocardial strain parameters as revealed by cine‐DENSE at different MRI field strengths were associated with myocardial region, age, and sex. J. Magn. Reson. Imaging 2016;44:1197–1205.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex

Mangion

Clerfond

McComb

et al. 2016

Magnetic Resonance Imaging

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“…28,29 Reference values for LV circumferential, radial and longitudinal strain have been published recently. 30,31 Assessment of ventricular deformation at rest and with inotropic stimulation using dobutamine has provided clinically relevant data in health 18,20 and disease states. 23, 24 Schneeweis et al 23 demonstrated the ability to use circumferential short-axis strain to identify inducible ischemia during intermediate and high-dose dobutamine stimulation.…”

Section: Ventricular Performancementioning

confidence: 99%

Cardiovascular Magnetic Resonance Myocardial Feature Tracking

Schuster

Hor

Kowallick

et al. 2016

Circ: Cardiovascular Imaging

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307

206

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Abstract-Heart failure-induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future. (Circ Cardiovasc Imaging. 2016;9:e004077.

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“…Normal values have been published48 but have yet to be validated on a large scale and cut-offs for specific disease states are yet to be established. Strain imaging in general is hampered by high naturally occurring variation and high test-retest variability.…”

Section: Strain Imagingmentioning

confidence: 99%

Towards cardiac MRI based risk stratification in idiopathic dilated cardiomyopathy

Brown

Miller

Marco

et al. 2018

Heart

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Sudden cardiac death (SCD) secondary to arrhythmia remains a risk in those with dilated cardiomyopathy (DCM), an implantable cardiac defibrillator (ICD) is an effective strategy to prevent SCD. Current guidelines recommend selection for ICD based on ejection fraction (EF) less than 35%, however, most SCD occurs in those with EF>35%. Although meta-analysis has demonstrated a survival benefit for primary prevention ICD in DCM, no randomised trial has shown a significant reduction in overall mortality including the most recent ‘Danish Study to Assess the Efficacy of ICDs in Patients With Non-Ischemic Systolic Heat Failure on Mortality’ study. Clearly, a more sophisticated selection strategy is required. Cardiac MRI (CMR) is an ideal non-invasive imaging technique which allows calculation of EF as well as tissue characterisation with gadolinium contrast, parametric mapping and feature tracking. Late gadolinium enhancement detects mid-wall fibrosis in approximately 30% of those with DCM, three meta-analyses have demonstrated an association between fibrosis in DCM and SCD, and those without fibrosis are at low risk of SCD. T1 mapping and extracellular volume (ECV) calculation are methods of demonstrating diffuse fibrosis in the myocardium. Raised ECV and native T1 have been associated with worse outcomes but the relationship to SCD has not been well studied. Undoubtedly, more research is required but CMR has several tools which offer incremental value above EF to improve risk stratification and consequent outcomes and resource utilisation in those with DCM.

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Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values

Cited by 208 publications

References 34 publications

Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex

Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex

Cardiovascular Magnetic Resonance Myocardial Feature Tracking

Towards cardiac MRI based risk stratification in idiopathic dilated cardiomyopathy

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