Literature DB >> 31659403

Altered regional myocardial velocities by tissue phase mapping and feature tracking in pediatric patients with hypertrophic cardiomyopathy.

Arleen Li1, Alexander Ruh2, Haben Berhane3, Joshua D Robinson2,4,5, Michael Markl2,6, Cynthia K Rigsby7,8,9.   

Abstract

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is associated with heart failure, atrial fibrillation and sudden death. Reduced myocardial function has been reported in HCM despite normal left ventricular (LV) ejection fraction. Additionally, LV fibrosis is associated with elevated T1 and might be an outcome predictor.
OBJECTIVE: To systematically compare tissue phase mapping and feature tracking for assessing regional LV function in children and young adults with HCM and pediatric controls, and to evaluate structure-function relationships among myocardial velocities, LV wall thickness and myocardial T1.
MATERIALS AND METHODS: Seventeen pediatric patients with HCM and 21 age-matched controls underwent cardiac MRI including standard cine imaging, tissue phase mapping (two-dimensional cine phase contrast with three-directional velocity encoding), and modified Look-Locker inversion recovery to calculate native global LV T1. Maximum LV wall thickness was measured on cine images. LV radial, circumferential and long-axis myocardial velocity time courses, as well as global and segmental systolic and diastolic peak velocities, were quantified from tissue phase mapping and feature tracking.
RESULTS: Both tissue phase mapping and feature tracking detected significantly decreased global and segmental diastolic radial and long-axis peak velocities (by 12-51%, P<0.001-0.05) in pediatric patients with HCM vs. controls. Feature tracking peak velocities were lower than directly measured tissue phase mapping velocities (mean bias = 0.3-2.9 cm/s). Diastolic global peak velocities correlated moderately with global T1 (r = -0.57 to -0.72, P<0.01) and maximum wall thickness (r = -0.37 to -0.61, P<0.05).
CONCLUSION: Both tissue phase mapping and feature tracking detected myocardial velocity changes in children and young adults with HCM vs. controls. Associations between impaired diastolic LV velocities and elevated T1 indicate structure-function relationships in HCM.

Entities:  

Keywords:  Children; Feature tracking; Heart; Hypertrophic cardiomyopathy; Left ventricle; Magnetic resonance imaging; Myocardial velocity; Myocardium; Tissue phase mapping

Mesh:

Year:  2019        PMID: 31659403      PMCID: PMC6982608          DOI: 10.1007/s00247-019-04549-4

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  41 in total

1.  High temporal resolution SSFP cine MRI for estimation of left ventricular diastolic parameters.

Authors:  Ramkumar Krishnamurthy; Amol Pednekar; Benjamin Cheong; Raja Muthupillai
Journal:  J Magn Reson Imaging       Date:  2010-04       Impact factor: 4.813

2.  Investigation of global and regional myocardial mechanics with 3-dimensional speckle tracking echocardiography and relations to hypertrophy and fibrosis in hypertrophic cardiomyopathy.

Authors:  Jose Angel Urbano-Moral; Ethan J Rowin; Martin S Maron; Andrew Crean; Natesa G Pandian
Journal:  Circ Cardiovasc Imaging       Date:  2013-11-25       Impact factor: 7.792

3.  Autocalibrated multiband CAIPIRINHA with through-time encoding: Proof of principle and application to cardiac tissue phase mapping.

Authors:  Giulio Ferrazzi; Jean Pierre Bassenge; Clarissa Wink; Alexander Ruh; Michael Markl; Steen Moeller; Gregory J Metzger; Bernd Ittermann; Sebastian Schmitter
Journal:  Magn Reson Med       Date:  2018-09-17       Impact factor: 4.668

Review 4.  MR assessment of regional myocardial mechanics.

Authors:  Robin M Simpson; Jennifer Keegan; David N Firmin
Journal:  J Magn Reson Imaging       Date:  2012-07-23       Impact factor: 4.813

5.  Prognostic implications of global myocardial mechanics in hypertrophic cardiomyopathy by cardiovascular magnetic resonance feature tracking. Relations to left ventricular hypertrophy and fibrosis.

Authors:  Rocio Hinojar; Covadonga Fernández-Golfín; Ariana González-Gómez; Luis Miguel Rincón; Maria Plaza-Martin; Eduardo Casas; Ana García-Martín; Mª Angeles Fernandez-Mendez; Amparo Esteban; Jose Julio Jimenez Nacher; Jose Luis Zamorano
Journal:  Int J Cardiol       Date:  2017-12-15       Impact factor: 4.164

6.  Extracellular volume fraction is more closely associated with altered regional left ventricular velocities than left ventricular ejection fraction in nonischemic cardiomyopathy.

Authors:  Jeremy Collins; Cort Sommerville; Patrick Magrath; Bruce Spottiswoode; Benjamin H Freed; Keith H Benzuly; Robert Gordon; Himabindu Vidula; Dan C Lee; Clyde Yancy; James Carr; Michael Markl
Journal:  Circ Cardiovasc Imaging       Date:  2014-12-31       Impact factor: 7.792

Review 7.  Myocardial mechanics in cardiomyopathies.

Authors:  Karen Modesto; Partho P Sengupta
Journal:  Prog Cardiovasc Dis       Date:  2014-03-11       Impact factor: 8.194

8.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion.

Authors:  E A Zerhouni; D M Parish; W J Rogers; A Yang; E P Shapiro
Journal:  Radiology       Date:  1988-10       Impact factor: 11.105

9.  A comparison of both DENSE and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain.

Authors:  J Jane Cao; Nora Ngai; Lynette Duncanson; Joshua Cheng; Kathleen Gliganic; Qizhi Chen
Journal:  J Cardiovasc Magn Reson       Date:  2018-04-19       Impact factor: 5.364

10.  Comparison of left ventricular strains and torsion derived from feature tracking and DENSE CMR.

Authors:  Gregory J Wehner; Linyuan Jing; Christopher M Haggerty; Jonathan D Suever; Jing Chen; Sean M Hamlet; Jared A Feindt; W Dimitri Mojsejenko; Mark A Fogel; Brandon K Fornwalt
Journal:  J Cardiovasc Magn Reson       Date:  2018-09-13       Impact factor: 5.364

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  1 in total

1.  Causes of altered ventricular mechanics in hypertrophic cardiomyopathy: an in-silico study.

Authors:  Ekaterina Kovacheva; Tobias Gerach; Steffen Schuler; Marco Ochs; Olaf Dössel; Axel Loewe
Journal:  Biomed Eng Online       Date:  2021-07-22       Impact factor: 2.819

  1 in total

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