Literature DB >> 28875228

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

Quanliang Shang1,2, Shivani Patel1, Michael Steinmetz3, Andreas Schuster4, David A Danford1, Philipp Beerbaum5, Samir Sarikouch5, Shelby Kutty6.   

Abstract

PURPOSE: Left ventricular two-dimensional global longitudinal strain (LS) is superior to ejection fraction (EF) as predictor of outcome. We provide reference data for atrial and ventricular global LS during childhood and adolescence by CMR feature tracking (FT).
METHODS: We prospectively enrolled 115 healthy subjects (56 male, mean age 12.4 ± 4.1 years) at a single institution. CMR consisted of standard two-dimensional steady-state free-precession acquisitions. CMR-FT was performed on ventricular horizontal long-axis images for derivation of right and left atrial (RA, LA) and right and left ventricular (RV, LV) peak global LS. End-diastolic volumes (EDVs) and EF were measured. Correlations were explored for LS with age, EDV and EF of each chamber.
RESULTS: Mean±SD of LS (%) for RA, RV, LA and LV were 26.56±10.2, -17.96±5.4, 26.45±10.6 and -17.47±5, respectively. There was a positive correlation of LS in LA, LV, RA and RV with corresponding EF (all P<0.05); correlations with age were weak. Gender-wise differences were not significant for atrial and ventricular LS, strain rate and displacement. Inter- and intra-observer comparisons showed moderate agreements.
CONCLUSIONS: Chamber-specific nomograms for paediatric atrial and ventricular LS are provided to serve as clinical reference, and to facilitate CMR-based deformation research. KEY POINTS: • No normative data exist for CMR-derived global longitudinal strain in the young. • This prospective study provides reference data for atrial and ventricular longitudinal strain. • The data will serve as reference for CMR-based clinical and research use.

Entities:  

Keywords:  Cardiac deformation; Cardiovascular magnetic resonance; Feature tracking; Paediatric cardiology; Strain

Mesh:

Year:  2017        PMID: 28875228     DOI: 10.1007/s00330-017-5034-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  39 in total

1.  Prediction of all-cause mortality from global longitudinal speckle strain: comparison with ejection fraction and wall motion scoring.

Authors:  Tony Stanton; Rodel Leano; Thomas H Marwick
Journal:  Circ Cardiovasc Imaging       Date:  2009-07-21       Impact factor: 7.792

Review 2.  Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications.

Authors:  Andreas Schuster; Kan N Hor; Johannes T Kowallick; Philipp Beerbaum; Shelby Kutty
Journal:  Circ Cardiovasc Imaging       Date:  2016-04       Impact factor: 7.792

3.  Pediatric Reference Values and Z Score Equations for Left Ventricular Systolic Strain Measured by Two-Dimensional Speckle-Tracking Echocardiography.

Authors:  Frederic Dallaire; Cameron Slorach; Timothy Bradley; Wei Hui; Taisto Sarkola; Mark K Friedberg; Edgar Jaeggi; Andreea Dragulescu; Farid H Mahmud; Denis Daneman; Luc Mertens
Journal:  J Am Soc Echocardiogr       Date:  2016-05-13       Impact factor: 5.251

4.  Determination of normal gender-specific left atrial dimensions by cardiovascular magnetic resonance imaging.

Authors:  Burkhard Sievers; Simon Kirchberg; Ulrich Franken; Asli Bakan; Marvin Addo; Binu John-Puthenveettil; Hans-Joachim Trappe
Journal:  J Cardiovasc Magn Reson       Date:  2005       Impact factor: 5.364

5.  Relation of left ventricular dyssynchrony measured by cardiac magnetic resonance tissue tracking in repaired tetralogy of fallot to ventricular tachycardia and death.

Authors:  Marta Ortega; John K Triedman; Tal Geva; David M Harrild
Journal:  Am J Cardiol       Date:  2011-03-15       Impact factor: 2.778

6.  Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis.

Authors:  Kan N Hor; William M Gottliebson; Christopher Carson; Erin Wash; James Cnota; Robert Fleck; Janaka Wansapura; Piotr Klimeczek; Hussein R Al-Khalidi; Eugene S Chung; D Woodrow Benson; Wojciech Mazur
Journal:  JACC Cardiovasc Imaging       Date:  2010-02

7.  Reference right atrial function determined by steady-state free precession cardiovascular magnetic resonance.

Authors:  Burkhard Sievers; Marvin Addo; Frank Breuckmann; Joerg Barkhausen; Raimund Erbel
Journal:  J Cardiovasc Magn Reson       Date:  2007       Impact factor: 5.364

8.  Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study.

Authors:  Johannes Tammo Kowallick; Shelby Kutty; Frank Edelmann; Amedeo Chiribiri; Adriana Villa; Michael Steinmetz; Jan Martin Sohns; Wieland Staab; Nuno Bettencourt; Christina Unterberg-Buchwald; Gerd Hasenfuß; Joachim Lotz; Andreas Schuster
Journal:  J Cardiovasc Magn Reson       Date:  2014-08-12       Impact factor: 5.364

9.  Reduced global longitudinal and radial strain with normal left ventricular ejection fraction late after effective repair of aortic coarctation: a CMR feature tracking study.

Authors:  Shelby Kutty; Sheela Rangamani; Jeeva Venkataraman; Ling Li; Andreas Schuster; Scott E Fletcher; David A Danford; Philipp Beerbaum
Journal:  Int J Cardiovasc Imaging       Date:  2012-05-12       Impact factor: 2.357

10.  Changes in left ventricular longitudinal strain with anthracycline chemotherapy in adolescents precede subsequent decreased left ventricular ejection fraction.

Authors:  Joseph T Poterucha; Shelby Kutty; Rebecca K Lindquist; Ling Li; Benjamin W Eidem
Journal:  J Am Soc Echocardiogr       Date:  2012-05-10       Impact factor: 5.251

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  3 in total

1.  Impaired myocardial deformation and ventricular vascular coupling in obese adolescents with dysglycemia.

Authors:  Preneet Cheema Brar; Anne Chun; Xiazhou Fan; Vivek Jani; Mary Craft; Puneet Bhatla; Shelby Kutty
Journal:  Cardiovasc Diabetol       Date:  2019-12-19       Impact factor: 8.949

2.  Prediction of cardiac events with non-contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy.

Authors:  Daniel Overhoff; Uzair Ansari; Anna Hohneck; Erol Tülümen; Boris Rudic; Jürgen Kuschyk; Dirk Lossnitzer; Stefan Baumann; Matthias F Froelich; Stephan Waldeck; Ibrahim Akin; Martin Borggrefe; Stefan O Schoenberg; Theano Papavassiliu
Journal:  ESC Heart Fail       Date:  2021-11-24

Review 3.  Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle?

Authors:  Torben Lange; Andreas Schuster
Journal:  Curr Heart Fail Rep       Date:  2021-05-01
  3 in total

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