Prognostic Value of Strain by Tissue Tracking Cardiac Magnetic Resonance After ST-Segment Elevation Myocardial Infarction

Gavara, José; Rodríguez-Palomares, José F.; Valente, Filipa; Monmeneu, José V.; López‐Lereu, María P.; Bonanad, Clara; Ferreira‐González, Ignacio; Blanco, Bruno García del; Rodríguez-García, Julián; Mutuberría, María; Dios, Elena de; Ríos‐Navarro, César; Pérez-Solé, Nerea; Racugno, Paolo; Payá, Ana; Miñana, Gema; Cánoves, Joaquín; Pellicer, Mauricio; López-Fornás, Francisco; Barrabés, José A.; Evangelista, Arturo; Núñez, Julio; Chorro, Francisco J.; Garcı́a-Dorado, David; Bodı́, Vicente

doi:10.1016/j.jcmg.2017.09.017

Cited by 107 publications

(96 citation statements)

References 23 publications

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“…Feature tracking magnetic resonance imaging (FT-MRI) allows tracking of tissue voxel motion using only the standard twodimensional (2D) cine MRI and can be used to evaluate wall mechanics and strains without acquisition of additional sequences [1]. FT-MRI has been validated against myocardial tagging with harmonic phase imaging [2], and the usefulness of strain value as a clinical indicator [3][4][5][6][7]. However, FT-MRI has the intrinsic limitation of being 2D.…”

Section: Introductionmentioning

confidence: 99%

Global Left Ventricular Area Strain Using Standard Two-Dimensional Cine Magnetic Resonance Imaging with Inter-Slice Interpolation

Kawakubo

Arai²,

Nagao

et al. 2018

Cardiovasc Imaging Asia

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We proposed the use of standard two-dimensional (2D) cine MR images with inter-slice interpolation to evaluate three-dimensional (3D) left ventricular (LV) global area strain (GAS), and investigated its clinical applicability by comparing to 2D strains. Materials and Methods: Twenty-one consecutive patients with ischemic cardiomyopathy (ICM) (63±12 years) and 12 controls without cardiac disease (68±13 years) were retrospectively enrolled. Receiver operating characteristic analysis was performed to determine the optimal cutoff of circumferential strain (CS), radial strain (RS), longitudinal strain (LS), and GAS for detection of patients with LV ejection fraction (LVEF) ≤45%. Comparison of CS, RS, LS, and GAS between controls and ICM patients was analyzed by the Wilcoxon rank-sum test. Results: The optimal cutoff of GAS has the highest diagnostic performance for detection of patients with LVEF ≤45% [area under the curve (AUC), 0.97; sensitivity, 88%; specificity, 100%] compared to the other 2D strains (CS vs. RS vs. LS; AUC, 0.85 vs. 0.85 vs. 0.73; sensitivity, 75% vs. 100% vs. 50%; specificity, 85% vs. 77% vs. 85%). LS and GAS were significantly greater for controls than ICM patients (LS:-18.6±3.2% vs.-10.1±3.2%, p<0.01, GAS:-41.3± 5.3% vs.-26.0±8.2%, p<0.01). Conclusion: GAS derived from inter-slice interpolation of 2D cine MRI is a quantitative index of 3D myocardial motion, and this technique can be applied for clinical MR examinations.

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Section: Introductionmentioning

confidence: 99%

Global Left Ventricular Area Strain Using Standard Two-Dimensional Cine Magnetic Resonance Imaging with Inter-Slice Interpolation

Kawakubo

Arai²,

Nagao

et al. 2018

Cardiovasc Imaging Asia

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“…Additionally, CMR is the gold-standard technique for LV volumetric assessment and infarct size (IS) quantification [8,9]. Ecc detected by CMR can predict functional recovery, worse long-term outcomes and provide additional prognostic information beyond conventional clinical and CMR variables (not shown for GLS [10]) in patients with a first STEMI [11,12]. Furthermore, Ecc maybe the most reproducible strain parameter with the least intertechnique variation [13][14][15][16][17].…”

mentioning

confidence: 99%

Inter-study repeatability of circumferential strain and diastolic strain rate by CMR tagging, feature tracking and tissue tracking in ST-segment elevation myocardial infarction

Nazir

Shetye

Khan

et al. 2020

Int J Cardiovasc Imaging

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Strain assessment allows accurate evaluation of myocardial function and mechanics in ST-segment elevation myocardial infarction (STEMI). Strain using cardiovascular magnetic resonance (CMR) has traditionally been assessed with tagging but limitations of this technique have led to more widespread use of alternative methods, which may be more robust. We compared the inter-study repeatability of circumferential global peak-systolic strain (Ecc) and peak-early diastolic strain rate (PEDSR) derived by tagging with values obtained using novel cine-based software: Feature Tracking (FT) (TomTec, Germany) and Tissue Tracking (TT) (Circle cvi 42 , Canada) in patients following STEMI. Twenty male patients (mean age 56 ± 10 years, mean infarct size 13.7 ± 7.1% of left ventricular mass) were randomised to undergo CMR 1-5 days post-STEMI at 1.5 T or 3.0 T, repeated after ten minutes at the same field strength. Ecc and PEDSR were assessed using tagging, FT and TT. Inter-study repeatability was evaluated using Bland-Altman analyses, coefficients of variation (CoV) and intraclass correlation coefficient (ICC). Ecc (%) was significantly lower with tagging than with FT or TT at 1.5 T (− 9.5 ± 3.3 vs. − 17.5 ± 3.8 vs. −15.5 ± 5.2, respectively, p < 0.001) and 3.0 T (− 13.1 ± 1.8 vs. − 19.4 ± 2.9 vs. − 17.3 ± 2.1, respectively, p = 0.001). This was similar for PEDSR (.s −1 ): 1.5 T (0.6 ± 0.2 vs. 1.5 ± 0.4 vs. 1.0 ± 0.4, for tagging, FT and TT respectively, p < 0.001) and 3.0 T (0.6 ± 0.2 vs. 1.5 ± 0.3 vs. 0.9 ± 0.3, respectively, p < 0.001). Inter-study repeatability for Ecc at 1.5 T was good for tagging and excellent for FT and TT: CoV 16.7%, 6.38%, and 8.65%, respectively. Repeatability for Ecc at 3.0 T was good for all three techniques: CoV 14.4%, 11.2%, and 13.0%, respectively. However, repeatability of PEDSR was generally lower than that for Ecc at 1.5 T (CoV 15.1%, 13.1%, and 34.0% for tagging, FT and TT, respectively) and 3.0 T (CoV 23.0%, 18.6%, and 26.2%, respectively). Following STEMI, Ecc and PEDSR are higher when measured with FT and TT than with tagging. Inter-study repeatability of Ecc is good for tagging, excellent for FT and TT at 1.5 T, and good for all three methods at 3.0 T. The repeatability of PEDSR is good to moderate at 1.5 T and moderate at 3.0 T. Cine-based methods to assess Ecc following STEMI may be preferable to tagging.

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“…Feature tracking imaging is a well-established algorithm for the assessment of myocardial strain. Thus, longitudinal strain assessed by FTI was recently shown to predict clinical outcomes in patients after acute myocardial infarction 81,82 as well as in patients with chronic ischaemic and non-ischaemic cardiomyopathies. 83 Limited data exist however, directly comparing SENC with FTI.…”

Section: Comparison Between Senc and Ftimentioning

confidence: 99%

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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Prognostic Value of Strain by Tissue Tracking Cardiac Magnetic Resonance After ST-Segment Elevation Myocardial Infarction

Abstract: TT-CMR provided prognostic information soon after STEMI. However, it did not substantially improve risk reclassification beyond traditional CMR indexes.

Cited by 107 publications

References 23 publications

Global Left Ventricular Area Strain Using Standard Two-Dimensional Cine Magnetic Resonance Imaging with Inter-Slice Interpolation

Global Left Ventricular Area Strain Using Standard Two-Dimensional Cine Magnetic Resonance Imaging with Inter-Slice Interpolation

Inter-study repeatability of circumferential strain and diastolic strain rate by CMR tagging, feature tracking and tissue tracking in ST-segment elevation myocardial infarction

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

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