Comparison of strain measurement from multimodality tissue tracking with strain-encoding MRI and harmonic phase MRI in pulmonary hypertension

Ohyama, Yoshiaki; Ambale-Venkatesh, Bharath; Chamera, Elzbieta; Shehata, Monda L.; Corona‐Villalobos, Celia P.; Zimmerman, Stefan L.; Hassoun, Paul M.; Bluemke, David A.; Lima, João A.C.

doi:10.1016/j.ijcard.2015.01.016

Cited by 36 publications

(33 citation statements)

References 33 publications

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“…Segmental strain values show significantly greater variability, at levels which may be unacceptable for clinical use [18, 19]. Overall GCS compared best with measurements by CMR tagging with HARP post-processing [5]; GLS was compared to SENC [59] showing small bias and fair agreement for both RV and LV.…”

Section: Tissue Tracking Reliability and Reproducibilitymentioning

confidence: 99%

Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use

Pedrizzetti

Claus

Kilner

et al. 2016

Journal of Cardiovascular Magnetic Resonance

327

295

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Tissue tracking technology of routinely acquired cardiovascular magnetic resonance (CMR) cine acquisitions has increased the apparent ease and availability of non-invasive assessments of myocardial deformation in clinical research and practice. Its widespread availability thanks to the fact that this technology can in principle be applied on images that are part of every CMR or echocardiographic protocol. However, the two modalities are based on very different methods of image acquisition and reconstruction, each with their respective strengths and limitations. The image tracking methods applied are not necessarily directly comparable between the modalities, or with those based on dedicated CMR acquisitions for strain measurement such as tagging or displacement encoding. Here we describe the principles underlying the image tracking methods for CMR and echocardiography, and the translation of the resulting tracking estimates into parameters suited to describe myocardial mechanics. Technical limitations are presented with the objective of suggesting potential solutions that may allow informed and appropriate use in clinical applications.

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Section: Tissue Tracking Reliability and Reproducibilitymentioning

confidence: 99%

Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use

Pedrizzetti

Claus

Kilner

et al. 2016

Journal of Cardiovascular Magnetic Resonance

327

295

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“…CMR-FT has been applied for ischemia 23 and viability 24 detection, cardiomyopathies, 25,26 pulmonary hypertension, 27 and quantification of dyssynchrony. 28,29 Reference values for LV circumferential, radial and longitudinal strain have been published recently.…”

Section: Ventricular Performancementioning

confidence: 99%

Cardiovascular Magnetic Resonance Myocardial Feature Tracking

Schuster

Hor

Kowallick

et al. 2016

Circ: Cardiovascular Imaging

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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“…77 A good correlation was also observed between CMRderived strain using SENC and 2D derived RV strain using echocardiographic speckle tracking with CMR-derived RV ejection fraction in 30 consecutive patients with PH. Interestingly, in contrast to FTI, SENC-derived longitudinal strain was significantly lower in patients with PH than in healthy subjects, 80 indicating the lower accuracy of FTI for the assessment of regional myocardial strain in the RV. Interestingly, in contrast to FTI, SENC-derived longitudinal strain was significantly lower in patients with PH than in healthy subjects, 80 indicating the lower accuracy of FTI for the assessment of regional myocardial strain in the RV.…”

mentioning

confidence: 84%

“…79 The correlations between SENC and feature tracking imaging (FTI), on the other hand, exhibited rather moderate correlations in 30 patients with PH and 15 normal subjects. Interestingly, in contrast to FTI, SENC-derived longitudinal strain was significantly lower in patients with PH than in healthy subjects, 80 indicating the lower accuracy of FTI for the assessment of regional myocardial strain in the RV.…”

mentioning

confidence: 84%

Strain‐encoded magnetic resonance: a method for the assessment of myocardial deformation

Korosoglou¹,

Giuşcă²,

Hofmann³

et al. 2019

ESC Heart Failure

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This study aims to assess the usefulness of strain‐encoded magnetic resonance (SENC) for the quantification of myocardial deformation (‘strain’) in healthy volunteers and for the diagnostic workup of patients with different cardiovascular pathologies. SENC was initially described in the year 2001. Since then, the SENC sequence has undergone several technical developments, aiming at the detection of strain during single‐heartbeat acquisitions (fast‐SENC). Experimental and clinical studies that used SENC and fast‐SENC or compared SENC with conventional cine or tagged magnetic resonance in phantoms, animals, healthy volunteers, or patients were systematically searched for in PubMed. Using ‘strain‐encoded magnetic resonance and SENC’ as keywords, three phantom and three animal studies were identified, along with 27 further clinical studies, involving 185 healthy subjects and 904 patients. SENC (i) enabled reproducible assessment of myocardial deformation in vitro, in animals and in healthy volunteers, (ii) showed high reproducibility and substantially lower time spent compared with conventional tagging, (iii) exhibited incremental value to standard cine imaging for the detection of inducible ischaemia and for the risk stratification of patients with ischaemic heart disease, and (iv) enabled the diagnostic classification of patients with transplant vasculopathy, cardiomyopathies, pulmonary hypertension, and diabetic heart disease. SENC has the potential to detect a wide range of myocardial diseases early, accurately, and without the need of contrast agent injection, possibly enabling the initiation of specific cardiac therapies during earlier disease stages. Its one‐heartbeat acquisition mode during free breathing results in shorter cardiovascular magnetic resonance protocols, making its implementation in the clinical realm promising.

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Comparison of strain measurement from multimodality tissue tracking with strain-encoding MRI and harmonic phase MRI in pulmonary hypertension

Cited by 36 publications

References 33 publications

Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use

Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use

Cardiovascular Magnetic Resonance Myocardial Feature Tracking

Strain‐encoded magnetic resonance: a method for the assessment of myocardial deformation

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