Literature DB >> 29138230

Head-to-Head Comparison of Global and Regional Two-Dimensional Speckle Tracking Strain Versus Cardiac Magnetic Resonance Tagging in a Multicenter Validation Study.

Mihaela Silvia Amzulescu1, Hélène Langet1, Eric Saloux1, Alain Manrique1, Laurianne Boileau1, Alisson Slimani1, Pascal Allain1, Clotilde Roy1, Christophe de Meester1, Agnès Pasquet1, Mathieu De Craene1, David Vancraeynest1, Anne-Catherine Pouleur1, Jean-Louis J Vanoverschelde1, Bernhard L Gerber2.   

Abstract

BACKGROUND: Despite widespread use to characterize and refine prognosis, validation data of two-dimensional (2D) speckle tracking (2DST) echocardiography myocardial strain measurement remain scarce. METHODS AND
RESULTS: Global and regional subendocardial peak-systolic Lagrangian longitudinal (LS) and circumferential strain (CS) by 2DST and 2D-tagged (2DTagg) cardiac magnetic resonance imaging were compared against sonomicrometry in a dynamic heart phantom and among each other in 136 patients included prospectively at 2 centers. The ability of regional LS and CS 2DST and 2DTagg to identify late gadolinium enhancement was compared using receiver operating characteristics curves. In vitro, both LS-2DST and 2DTagg highly agreed with sonomicrometry (intraclass correlation coefficient [ICC], 0.89 and ICC, 0.90, both P<0.001 with -3±2.8% and 0.34±4.35% bias, respectively). In patients, both global LS and global CS 2DST agreed well with 2DTagg (ICC, 0.89 and ICC, 0.80; P<0.001); however, they provided systematically greater values (relative bias of -37±27% and -25±37% for global LS and global CS, respectively). On regional basis, however, ICC (from 0.17 to 0.81) and relative bias (from -9 to -98%) between 2DST and 2DTagg varied strongly among segments. Ability to discriminate infarcted versus noninfarcted segments by late gadolinium enhancement was similarly good for regional LS 2DTagg and 2DST (area under the curve, 0.66 versus 0.59; P=0.08), while it was lower for CS 2DST than 2DTagg (area under the curve, 0.61 versus 0.75; P<0.001).
CONCLUSIONS: The high accuracy against sonomicrometry and good agreement of global LS and global CS by 2DST and 2DTagg confirm the overall validity of 2DST strain measurement. Yet, higher intertechnique segmental variability and lower ability for detecting infarct suggest that 2DST strain estimates may be less performant on regional than on global basis.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  2-dimensional; echocardiography; magnetic resonance imaging; software validation; speckle tracking; strain

Mesh:

Substances:

Year:  2017        PMID: 29138230     DOI: 10.1161/CIRCIMAGING.117.006530

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  13 in total

1.  Automated 4-dimensional regional myocardial strain evaluation using cardiac computed tomography.

Authors:  Zvi Peled; Yechiel Lamash; Shemy Carasso; Anath Fischer; Yoram Agmon; Diab Mutlak; Doron Aronson; Gil Bolotin; Jonathan Lessick
Journal:  Int J Cardiovasc Imaging       Date:  2019-09-19       Impact factor: 2.357

Review 2.  Cardiovascular Imaging in Cardio-Oncology: The Role of Echocardiography and Cardiac MRI in Modern Cardio-Oncology.

Authors:  John Alan Gambril; Aaron Chum; Akash Goyal; Patrick Ruz; Katarzyna Mikrut; Orlando Simonetti; Hardeep Dholiya; Brijesh Patel; Daniel Addison
Journal:  Heart Fail Clin       Date:  2022-07       Impact factor: 2.828

3.  Age- and gender-related normal references of right ventricular strain values by tissue tracking cardiac magnetic resonance: results from a Chinese population.

Authors:  Ting Liu; Congcong Wang; Shu Li; Yu Zhao; Peiling Li
Journal:  Quant Imaging Med Surg       Date:  2019-08

4.  Regional Mechanical Changes Assessed by 2D Speckle-Tracking Longitudinal Strain do not Parallel Electrical Post-Pacing Cardiac Memory.

Authors:  Suran Maria-Claudia-Berenice; Margulescu Andrei-Dumitru; Bruja Ramona; Siliste Calin; Vinereanu Dragos
Journal:  Maedica (Bucur)       Date:  2018-09

5.  Reproducibility study on myocardial strain assessment using fast-SENC cardiac magnetic resonance imaging.

Authors:  Sorin Giusca; Grigorios Korosoglou; Victoria Zieschang; Lukas Stoiber; Bernhard Schnackenburg; Christian Stehning; Rolf Gebker; Burkert Pieske; Andreas Schuster; Sören Backhaus; Elisabeth Pieske-Kraigher; Amit Patel; Keigo Kawaji; Henning Steen; Tomas Lapinskas; Sebastian Kelle
Journal:  Sci Rep       Date:  2018-09-20       Impact factor: 4.379

6.  Myocardial strain imaging: review of general principles, validation, and sources of discrepancies.

Authors:  M S Amzulescu; M De Craene; H Langet; A Pasquet; D Vancraeynest; A C Pouleur; J L Vanoverschelde; B L Gerber
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-06-01       Impact factor: 6.875

7.  Loss of base-to-apex circumferential strain gradient assessed by cardiovascular magnetic resonance in Fabry disease: relationship to T1 mapping, late gadolinium enhancement and hypertrophy.

Authors:  Shobhit Mathur; John G Dreisbach; Gauri R Karur; Robert M Iwanochko; Chantal F Morel; Syed Wasim; Elsie T Nguyen; Bernd J Wintersperger; Kate Hanneman
Journal:  J Cardiovasc Magn Reson       Date:  2019-08-01       Impact factor: 5.364

8.  A multi-vendor, multi-center study on reproducibility and comparability of fast strain-encoded cardiovascular magnetic resonance imaging.

Authors:  Jennifer Erley; Victoria Zieschang; Tomas Lapinskas; Aylin Demir; Stephanie Wiesemann; Markus Haass; Nael F Osman; Orlando P Simonetti; Yingmin Liu; Amit R Patel; Victor Mor-Avi; Orhan Unal; Kevin M Johnson; Burkert Pieske; Jochen Hansmann; Jeanette Schulz-Menger; Sebastian Kelle
Journal:  Int J Cardiovasc Imaging       Date:  2020-02-13       Impact factor: 2.357

9.  Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T.

Authors:  Sebastian Militaru; Roman Panovsky; Vincent Hanet; Mihaela Silvia Amzulescu; Hélène Langet; Mary Mojica Pisciotti; Anne-Catherine Pouleur; Jean-Louis J Vanoverschelde; Bernhard L Gerber
Journal:  J Cardiovasc Magn Reson       Date:  2021-05-13       Impact factor: 5.364

10.  Copeptin levels predict left ventricular systolic function in STEMI patients: A 2D speckle tracking echocardiography-based prospective observational study.

Authors:  Hilal Erken Pamukcu; Mehmet Ali Felekoğlu; Engin Algül; Haluk Furkan Şahan; Faruk Aydinyilmaz; İlkin Guliyev; Saadet Demirtaş İnci; Nail Burak Özbeyaz; Ali Nallbani
Journal:  Medicine (Baltimore)       Date:  2020-12-11       Impact factor: 1.817

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