Literature DB >> 25711353

Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values.

Robin J Taylor1, William E Moody1, Fraz Umar1, Nicola C Edwards1, Tiffany J Taylor2, Berthold Stegemann3, John N Townend1, Kan N Hor4, Richard P Steeds1, Wojciech Mazur5, Francisco Leyva6.   

Abstract

AIMS: Myocardial deformation is a key to clinical decision-making. Feature-tracking cardiovascular magnetic resonance (FT-CMR) provides quantification of motion and strain using standard steady-state in free-precession (SSFP) imaging, which is part of a routine CMR left ventricular (LV) study protocol. An accepted definition of a normal range is essential if this technique is to enter the clinical arena. METHODS AND
RESULTS: One hundred healthy individuals, with 10 men and women in each of 5 age deciles from 20 to 70 years, without a history of cardiovascular disease, diabetes, renal impairment, or family history of cardiovascular disease, and with a normal stress echocardiogram, underwent FT-CMR assessment of LV myocardial strain and strain rate using SSFP cines.Peak systolic longitudinal strain (Ell) was -21.3 ± 4.8%, peak systolic circumferential strain (Ecc) was -26.1 ± 3.8%, and peak systolic radial strain (Err) was 39.8 ± 8.3%. On Bland-Altman analyses, peak systolic Ecc had the best inter-observer agreement (bias 0.63 ± 1.29% and 95% CI -1.90 to 3.16) and peak systolic Err the least inter-observer agreement (bias 0.13 ± 6.41 and 95% CI -12.44 to 12.71). There was an increase in the magnitude of peak systolic Ecc with advancing age, which was greatest in subjects over the age of 50 years (R(2) = 0.11, P = 0.003). There were significant gender differences (P < 0.001) in peak systolic Ell, with a greater magnitude of deformation in females (-22.7%) than in males (-19.3%).
CONCLUSION: Normal values for myocardial strain measurements using FT-CMR are provided. All circumferential and longitudinal based variables had excellent intra- and inter-observer variability. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2015. For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  cardiovascular magnetic resonance; feature tracking; inter-study variability; normal values; strain

Mesh:

Year:  2015        PMID: 25711353     DOI: 10.1093/ehjci/jev006

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  78 in total

1.  Left ventricular myocardial deformation in Takotsubo syndrome: a cardiovascular magnetic resonance myocardial feature tracking study.

Authors:  Thomas Stiermaier; Torben Lange; Amedeo Chiribiri; Christian Möller; Tobias Graf; Christina Villnow; Uwe Raaz; Adriana Villa; Johannes T Kowallick; Joachim Lotz; Gerd Hasenfuß; Holger Thiele; Andreas Schuster; Ingo Eitel
Journal:  Eur Radiol       Date:  2018-06-07       Impact factor: 5.315

2.  Incremental value of cardiac deformation analysis in acute myocarditis: a cardiovascular magnetic resonance imaging study.

Authors:  Florian André; Florian T Stock; Johannes Riffel; Evangelos Giannitsis; Henning Steen; Jürgen Scharhag; Hugo A Katus; Sebastian J Buss
Journal:  Int J Cardiovasc Imaging       Date:  2016-04-21       Impact factor: 2.357

3.  Left ventricular global myocardial strain assessment comparing the reproducibility of four commercially available CMR-feature tracking algorithms.

Authors:  Manuel Barreiro-Pérez; Davide Curione; Rolf Symons; Piet Claus; Jens-Uwe Voigt; Jan Bogaert
Journal:  Eur Radiol       Date:  2018-06-05       Impact factor: 5.315

4.  Feature-tracking myocardial strain analysis in acute myocarditis: diagnostic value and association with myocardial oedema.

Authors:  Julian A Luetkens; Ulrike Schlesinger-Irsch; Daniel L Kuetting; Darius Dabir; Rami Homsi; Jonas Doerner; Frederic C Schmeel; Rolf Fimmers; Alois M Sprinkart; Claas P Naehle; Hans H Schild; Daniel Thomas
Journal:  Eur Radiol       Date:  2017-05-12       Impact factor: 5.315

5.  Non-invasive evaluation of the relationship between electrical and structural cardiac abnormalities in patients with myotonic dystrophy type 1.

Authors:  Lukas Chmielewski; Michael Bietenbeck; Alexandru Patrascu; Sabine Rösch; Udo Sechtem; Ali Yilmaz; Anca-Rezeda Florian
Journal:  Clin Res Cardiol       Date:  2019-02-14       Impact factor: 5.460

6.  Estimation of myocardial strain from non-rigid registration and highly accelerated cine CMR.

Authors:  Jonathan E N Langton; Hoi-Ieng Lam; Brett R Cowan; Christopher J Occleshaw; Ruvin Gabriel; Boris Lowe; Suzanne Lydiard; Andreas Greiser; Michaela Schmidt; Alistair A Young
Journal:  Int J Cardiovasc Imaging       Date:  2016-09-13       Impact factor: 2.357

7.  Myocardial strain pattern in patients with cardiac amyloidosis secondary to multiple myeloma: a cardiac MRI feature tracking study.

Authors:  Sabha Bhatti; Srikanth Vallurupalli; Stephanie Ambach; Adam Magier; Evan Watts; Vien Truong; Abdul Hakeem; Wojciech Mazur
Journal:  Int J Cardiovasc Imaging       Date:  2016-10-14       Impact factor: 2.357

8.  Myocardial deformation assessed by longitudinal strain: Chamber specific normative data for CMR-feature tracking from the German competence network for congenital heart defects.

Authors:  Quanliang Shang; Shivani Patel; Michael Steinmetz; Andreas Schuster; David A Danford; Philipp Beerbaum; Samir Sarikouch; Shelby Kutty
Journal:  Eur Radiol       Date:  2017-09-05       Impact factor: 5.315

9.  Differences in myocardial strain between pectus excavatum patients and healthy subjects assessed by cardiac MRI: a pilot study.

Authors:  André Lollert; Tilman Emrich; Jakob Eichstädt; Christoph Kampmann; Tariq Abu-Tair; Salmai Turial; Christoph Düber; Karl-Friedrich Kreitner; Gundula Staatz
Journal:  Eur Radiol       Date:  2017-09-11       Impact factor: 5.315

10.  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

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