Left ventricular mechanics assessed by two-dimensional echocardiography and cardiac magnetic resonance imaging: comparison of high-resolution speckle tracking and feature tracking

Aurich, Matthias; Keller, Marius; Greiner, Steffen; Steen, Henning; Siepen, Fabian aus dem; Riffel, Johannes; Katus, Hugo A.; Buss, Sebastian J.; Mereles, Derliz

doi:10.1093/ehjci/jew042

Cited by 56 publications

(39 citation statements)

References 23 publications

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“…TAG has been historically considered the gold standard technique for strain assessment. It has been shown to be highly reproducible and used for validation of other strain assessment techniques . However, it requires long acquisition and post‐processing times, in addition to suffering from low temporal and spatial resolutions, as well as tag fading during the diastole.…”

Section: Discussionmentioning

confidence: 99%

Comparison of feature tracking, fast‐SENC, and myocardial tagging for global and segmental left ventricular strain

et al. 2019

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Aims A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques. Methods and results Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and interobserver reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS. Conclusions We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.

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Section: Discussionmentioning

confidence: 99%

Comparison of feature tracking, fast‐SENC, and myocardial tagging for global and segmental left ventricular strain

et al. 2019

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“…31 Several CMR-based myocardial strain imaging techniques using different acquisition schemes [e.g., cSPAMM, strain-encoded imaging (SENC), displacementencoded with stimulated-echo (DENSE), and feature tracking] are now available; these techniques are more extensive, more sophisticated, and better than they were 20 years ago. 7, 32 Although most of these techniques were developed separately, they are in fact closely related. With the cSPAMM method we used, black lines or grids (special radiofrequency prepulses called tags) are superimposed on and embedded in the myocardium at the beginning of a cine sequence [just before the start of contraction (at the R wave of the ECG)], and a subsequent deformation of these lines throughout the cardiac cycle is observed.…”

Section: Figure 3 a 36-year-old Man With Familial Amyloid Polyneuropmentioning

confidence: 99%

Identification and Assessment of Cardiac Amyloidosis by Myocardial Strain Analysis of Cardiac Magnetic Resonance Imaging

Oda

Utsunomiya

Nakaura

et al. 2017

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Background:We explored the usefulness of myocardial strain analysis on cardiac magnetic resonance imaging (CMR) scans for the identification of cardiac amyloidosis. Methods and Results:The 61 patients with systemic amyloidosis underwent 3.0-T CMR, including CMR tagging and late-gadolinium enhanced (LGE) imaging. The circumferential strain (CS) of LGE-positive and LGE-negative patients was measured on midventricular short-axis images and compared. Logistic regression modeling of CMR parameters was performed to detect patients with LGE-positive cardiac amyloidosis. Of the 61 patients with systemic amyloidosis 48 were LGE-positive and 13 were LGE-negative. The peak CS was significantly lower in the LGE-positive than in the LGE-negative patients (−9.5±2.3 vs. −13.3±1.4%, P<0.01). The variability in the peak CS time was significantly greater in the LGE-positive than in the LGE-negative patients (46.1±24.5 vs. 21.2±20.1 ms, P<0.01). The peak CS significantly correlated with clinical biomarkers. The sensitivity, specificity, and accuracy of the diagnostic model using CS parameters for the identification of LGE-positive amyloidosis were 93.8%, 76.9%, and 90.2%, respectively. Conclusions:Myocardial strain analysis by CMR helped detect LGE-positive amyloidosis without the need for contrast medium. The peak CS and variability in the peak CS time may correlate with the severity of cardiac amyloid deposition and may be more sensitive than LGE imaging for the detection of early cardiac disease in patients with amyloidosis.

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“…STE is based on the interaction between the myocardial tissue and the ultrasound beam 1 that produces particular acoustic markers, named Speckles. 5 It is possible to identify several advantages of STE-derived strain analysis in comparison with previous methods which were based on tissue Doppler imaging, a technique that is currently rarely used. 2 Before STE, only the myocardial tissue tagging with cardiovascular magnetic resonance (CMR) was able to evaluate the cardiac deformation without an angle dependence even though it was restricted by high costs and limited machine availability.…”

Section: Introductionmentioning

confidence: 99%

“…3 No more than 10 years ago, the first paper regarding STE validated this technique against this CMR modality 4 ; recently, it has been also validated against new feature tracking CMR algorithm. 5 It is possible to identify several advantages of STE-derived strain analysis in comparison with previous methods which were based on tissue Doppler imaging, a technique that is currently rarely used. The main benefits include the capability to evaluate the two-dimensional (2D) displacement of cardiac muscle spots during the cardiac cycle and to calculate, in an angle-independent way, the myocardial deformation through the distance variation between the speckles in the analyzed segment.…”

Section: Introductionmentioning

confidence: 99%

More than 10 years of speckle tracking echocardiography: Still a novel technique or a definite tool for clinical practice?

et al. 2019

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Speckle tracking echocardiography (STE) cannot be considered a recent technique anymore. Its application has gained growing importance over the last decade in several clinical settings, and the deformation analysis has fully entered in diagnostic algorithms and guidelines of various pathologies. STE allows to track the displacement of "speckles" in two-dimensional (2D) echocardiographic images in an angleindependent way and to assess their movement (strain) during the cardiac cycle. Its high feasibility, reproducibility, and accuracy have been widely demonstrated. In this review, we describe how STE has been applied to different aspects of the daily clinical practice, including ischemic heart diseases, heart valve disease, heart failure, and prognostication, highlighting the possible added value that strain parameters have shown over the years. K E Y W O R D Sechocardiography, myocardial deformation, speckle tracking echocardiography, strain | 959 CAMELI Et AL.

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Left ventricular mechanics assessed by two-dimensional echocardiography and cardiac magnetic resonance imaging: comparison of high-resolution speckle tracking and feature tracking

Abstract: clinicaltrials.gov. Unique identifier: NCT01275963.

Cited by 56 publications

References 23 publications

Comparison of feature tracking, fast‐SENC, and myocardial tagging for global and segmental left ventricular strain

Comparison of feature tracking, fast‐SENC, and myocardial tagging for global and segmental left ventricular strain

Identification and Assessment of Cardiac Amyloidosis by Myocardial Strain Analysis of Cardiac Magnetic Resonance Imaging

More than 10 years of speckle tracking echocardiography: Still a novel technique or a definite tool for clinical practice?

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