Literature DB >> 24293146

Cardiac magnetic resonance feature tracking: a novel method to assess myocardial strain. Comparison with echocardiographic speckle tracking in healthy volunteers and in patients with left ventricular hypertrophy.

Stefan Orwat1, Aleksander Kempny, Gerhard-Paul Diller, Pia Bauerschmitz, Alexander Ch Bunck, David Maintz, Robert M Radke, Helmut Baumgartner.   

Abstract

BACKGROUND: Left ventricular longitudinal strain (LV-LS) and strain rate (SR) are sensitive markers of early systolic dysfunction. AIM: To evaluate the feasibility of a novel, cardiac magnetic resonance (CMR) based method known as feature tracking (FT) for the assessment of strain and SR, and to compare the CMR based results to those obtained on standard transthoracic echocardiography (TTE) in healthy volunteers and in patients with left ventricular hypertrophy cardiomyopathy (HCM).
METHODS: Overall, 20 healthy volunteers (ten male, mean age 24 ± 3 years) and 20 consecutive patients with HCM (12 male, mean age 47 ± 19 years) were included. Longitudinal and circumferential strain and SR of the left ventricle were measured on CMR at 1.5 Tesla and TTE and interobserver variability was assessed.
RESULTS: FT measurements were feasible in all subjects. A good agreement between global LV-LS measured on CMR (controls: 20.8 ± 3.0; HCM: 17.6 ± 3.8) and TTE (controls: 19.4 ± 2.1; HCM: 16.6 ± 2.9) was found, while the agreement was worse for circumferential strain and all SR measurements. For the left and right ventricles, interobserver reproducibility was higher for strain measurements compared to SR. Coefficients of variation were lowest for LV-LS (13.2%) by CMR.
CONCLUSIONS: FT analysis is a novel CMR based method for the analysis of myocardial strain and SR that is simple and correlates well with the echocardiographic measurements. Since CMR is unaffected by inadequate acoustic windows, FT may represent an attractive alternative to echocardiography in assessing the increasingly important parameters of myocardial deformation.

Entities:  

Mesh:

Year:  2013        PMID: 24293146     DOI: 10.5603/KP.a2013.0319

Source DB:  PubMed          Journal:  Kardiol Pol        ISSN: 0022-9032            Impact factor:   3.108


  14 in total

1.  Evaluation of cardiac function by two-dimensional speckle tracking echocardiography in ulcerative colitis patients.

Authors:  Altug Cincin; Murat Sunbul; Tarık Kivrak; Halil Atas; Ibrahim Sari; Kursat Tigen; Tarik Kani; Hakan Akin; Nese Imeryuz; Yelda Basaran
Journal:  Dig Dis Sci       Date:  2014-07-15       Impact factor: 3.199

Review 2.  Myocardial deformation assessment using cardiovascular magnetic resonance-feature tracking technique.

Authors:  Haifa M Almutairi; Redha Boubertakh; Marc E Miquel; Steffen E Petersen
Journal:  Br J Radiol       Date:  2017-10-09       Impact factor: 3.039

3.  "Myocardial transit-time" (MyoTT): a novel and easy-to-perform CMR parameter to assess microvascular disease.

Authors:  Grigorios Chatzantonis; Michael Bietenbeck; Anca Florian; Claudia Meier; Dennis Korthals; Holger Reinecke; Ali Yilmaz
Journal:  Clin Res Cardiol       Date:  2019-07-18       Impact factor: 5.460

4.  Longitudinal Deformation of the Right Ventricle in Hypoplastic Left Heart Syndrome: A Comparative Study of 2D-Feature Tracking Magnetic Resonance Imaging and 2D-Speckle Tracking Echocardiography.

Authors:  Mona Salehi Ravesh; Carsten Rickers; Finn Jonathan Bannert; David Hautemann; Abdullah Al Bulushi; Dominik Daniel Gabbert; Philip Wegner; Eva Kis; Jan Hinnerk Hansen; Michaeal Jerosch-Herold; H-H Kramer; Jana Logoteta
Journal:  Pediatr Cardiol       Date:  2018-05-10       Impact factor: 1.655

5.  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

6.  Automated segmentation of biventricular contours in tissue phase mapping using deep learning.

Authors:  Daming Shen; Ashitha Pathrose; Roberto Sarnari; Allison Blake; Haben Berhane; Justin J Baraboo; James C Carr; Michael Markl; Daniel Kim
Journal:  NMR Biomed       Date:  2021-09-02       Impact factor: 4.044

7.  Biventricular myocardial strain analysis in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) using cardiovascular magnetic resonance feature tracking.

Authors:  Philipp Heermann; Dennis M Hedderich; Matthias Paul; Christoph Schülke; Jan Robert Kroeger; Bettina Baeßler; Thomas Wichter; David Maintz; Johannes Waltenberger; Walter Heindel; Alexander C Bunck
Journal:  J Cardiovasc Magn Reson       Date:  2014-10-07       Impact factor: 5.364

8.  Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking.

Authors:  Roman Johannes Gertz; Torben Lange; Johannes Tammo Kowallick; Sören Jan Backhaus; Michael Steinmetz; Wieland Staab; Shelby Kutty; Gerd Hasenfuß; Joachim Lotz; Andreas Schuster
Journal:  PLoS One       Date:  2018-03-14       Impact factor: 3.240

9.  Feature tracking CMR reveals abnormal strain in preclinical arrhythmogenic right ventricular dysplasia/ cardiomyopathy: a multisoftware feasibility and clinical implementation study.

Authors:  Mimount Bourfiss; Davis M Vigneault; Mounes Aliyari Ghasebeh; Brittney Murray; Cynthia A James; Crystal Tichnell; Firdaus A Mohamed Hoesein; Stefan L Zimmerman; Ihab R Kamel; Hugh Calkins; Harikrishna Tandri; Birgitta K Velthuis; David A Bluemke; Anneline S J M Te Riele
Journal:  J Cardiovasc Magn Reson       Date:  2017-09-01       Impact factor: 5.364

Review 10.  Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique.

Authors:  Zia Ur Rahman; Pooja Sethi; Ghulam Murtaza; Hafeez Ul Hassan Virk; Aitzaz Rai; Masliza Mahmod; Jeffrey Schoondyke; Kais Albalbissi
Journal:  World J Cardiol       Date:  2017-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.