Literature DB >> 25743248

Comparison of cardiovascular magnetic resonance feature tracking and tagging for the assessment of left ventricular systolic strain in acute myocardial infarction.

Jamal N Khan1, Anvesha Singh2, Sheraz A Nazir3, Prathap Kanagala4, Anthony H Gershlick5, Gerry P McCann6.   

Abstract

AIMS: To assess the feasibility of feature tracking (FT)-measured systolic strain post acute ST-segment elevation myocardial infarction (STEMI) and compare strain values to those obtained with tagging.
METHODS: Cardiovascular MRI at 1.5T was performed in 24 patients, 2.2 days post STEMI. Global and segmental circumferential (Ecc) and longitudinal (Ell) strain were assessed using FT and tagging, and correlated with total and segmental infarct size, area at risk and myocardial salvage.
RESULTS: All segments tracked satisfactorily with FT (p<0.001 vs. tagging). Total analysis time per patient was shorter with FT (38.2±3.8 min vs. 63.7±10.3 min, p<0.001 vs. tagging). Global Ecc and Ell were higher with FT than with tagging, apart from FT Ecc using the average of endocardial and epicardial contours (-13.45±4.1 [FT] vs. -13.85±3.9 [tagging], p=0.66). Intraobserver and interobserver agreement for global strain were excellent for FT (ICC 0.906-0.990) but interobserver agreement for tagging was lower (ICC<0.765). Interobserver and intraobserver agreement for segmental strain was good for both techniques (ICC>0.7) apart from tagging Ell, which was poor (ICC=0.15). FT-derived Ecc significantly correlated with total infarct size (r=0.44, p=0.03) and segmental infarct extent (r=0.44, p<0.01), and best distinguished transmurally infarcted segments (AUC 0.77) and infarcted from adjacent and remote segments. FT-derived Ecc correlated strongest with segmental myocardial salvage (rs=-0.406).
CONCLUSIONS: FT global Ecc and Ell measurement in acute STEMI is feasible and robust. FT-derived strain is quicker to analyse, tracks myocardium better, has better interobserver variability and correlated more strongly with infarct, area at risk (oedema), myocardial salvage and infarct transmurality.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular magnetic resonance; Feature tracking; Infarct size; Myocardial infarction; Strain; Tagging

Mesh:

Year:  2015        PMID: 25743248     DOI: 10.1016/j.ejrad.2015.02.002

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  54 in total

1.  Cardiac magnetic resonance-tissue tracking for the early prediction of adverse left ventricular remodeling after ST-segment elevation myocardial infarction.

Authors:  Min Jae Cha; Jeong Hyun Lee; Hye Na Jung; Yiseul Kim; Yeon Hyeon Choe; Sung Mok Kim
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-03       Impact factor: 2.357

2.  Aortic regurgitation assessment by cardiovascular magnetic resonance imaging and transthoracic echocardiography: intermodality disagreement impacting on prediction of post-surgical left ventricular remodeling.

Authors:  Ulf Neisius; Connie W Tsao; Thomas H Hauser; Apranta D Patel; Patrick Pierce; Eyal Ben-Assa; Reza Nezafat; Warren J Manning
Journal:  Int J Cardiovasc Imaging       Date:  2019-08-14       Impact factor: 2.357

3.  Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking.

Authors:  Monica Dobrovie; Manuel Barreiro-Pérez; Davide Curione; Rolf Symons; Piet Claus; Jens-Uwe Voigt; Jan Bogaert
Journal:  Eur Radiol       Date:  2019-07-11       Impact factor: 5.315

4.  Global longitudinal strain by feature tracking for optimized prediction of adverse remodeling after ST-elevation myocardial infarction.

Authors:  Martin Reindl; Christina Tiller; Magdalena Holzknecht; Ivan Lechner; Dorothea Eisner; Laura Riepl; Mathias Pamminger; Benjamin Henninger; Agnes Mayr; Johannes P Schwaiger; Gert Klug; Axel Bauer; Bernhard Metzler; Sebastian J Reinstadler
Journal:  Clin Res Cardiol       Date:  2020-04-15       Impact factor: 5.460

5.  Strain analysis using feature tracking cardiac magnetic resonance (FT-CMR) in the assessment of myocardial viability in chronic ischemic patients.

Authors:  Sara W Tantawy; Shaimaa Abdelsattar Mohammad; Ahmed M Osman; Wesam El Mozy; Ahmed S Ibrahim
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-09       Impact factor: 2.357

6.  Cardiac Magnetic Resonance Feature Tracking Biventricular Two-Dimensional and Three-Dimensional Strains to Evaluate Ventricular Function in Children After Repaired Tetralogy of Fallot as Compared with Healthy Children.

Authors:  Fernando M Berganza; Cesar Gonzalez de Alba; Nazire Özcelik; Dilachew Adebo
Journal:  Pediatr Cardiol       Date:  2017-01-05       Impact factor: 1.655

7.  Prediction of infarct size and adverse cardiac outcomes by tissue tracking-cardiac magnetic resonance imaging in ST-segment elevation myocardial infarction.

Authors:  Yeonyee E Yoon; Si-Hyuck Kang; Hong-Mi Choi; Seonji Jeong; Ji Min Sung; Sang-Eun Lee; Injeong Cho; Goo-Yeong Cho; Hyuk-Jae Chang; Eun Ju Chun
Journal:  Eur Radiol       Date:  2018-02-15       Impact factor: 5.315

8.  Radiomic Analysis of Myocardial Native T1 Imaging Discriminates Between Hypertensive Heart Disease and Hypertrophic Cardiomyopathy.

Authors:  Ulf Neisius; Hossam El-Rewaidy; Shiro Nakamori; Jennifer Rodriguez; Warren J Manning; Reza Nezafat
Journal:  JACC Cardiovasc Imaging       Date:  2019-01-16

9.  Global myocardial strain assessment by different imaging modalities to predict outcomes after ST-elevation myocardial infarction: A systematic review.

Authors:  Abhishek Shetye; Sheraz A Nazir; Iain B Squire; Gerald P McCann
Journal:  World J Cardiol       Date:  2015-12-26

10.  Intra- and inter-observer reproducibility of multilayer cardiac magnetic resonance feature tracking derived longitudinal and circumferential strain.

Authors:  Saikrishna Ananthapadmanabhan; Echo Deng; Giuseppe Femia; Simon Tang; Eng-Siew Koh; Andreas Schuster; Raj Puranik; Pankaj Gupta; Tuan Nguyen; Hany Dimitri; James Otton
Journal:  Cardiovasc Diagn Ther       Date:  2020-04
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