A novel method for estimating myocardial strain: assessment of deformation tracking against reference magnetic resonance methods in healthy volunteers

Mangion, K., Gao, H. , Mccomb, C., Carrick, D., Clerfond, G., Zhong, X., Luo, X. , Haig, C. and Berry, C. (2016) A novel method for estimating myocardial strain: assessment of deformation tracking against reference magnetic resonance methods in healthy volunteers. Scientific Reports, 6, 38774. (doi:10.1038/srep38774) (PMID:27941903) (PMCID:PMC5150576)

[img]
Preview
Text
131264.pdf - Published Version
Available under License Creative Commons Attribution.

524kB

Abstract

We developed a novel method for tracking myocardial deformation using cardiac magnetic resonance (CMR) cine imaging. We hypothesised that circumferential strain using deformation-tracking has comparable diagnostic performance to a validated method (Displacement Encoding with Stimulated Echoes- DENSE) and potentially diagnostically superior to an established cine-strain method (feature-tracking). 81 healthy adults (44.6 ± 17.7 years old, 47% male), without any history of cardiovascular disease, underwent CMR at 1.5T including cine, DENSE, and late gadolinium enhancement in subjects >45 years. Acquisitions were divided into 6 segments, and global and segmental peak circumferential strain were derived and analysed by age and sex. Peak circumferential strain differed between the 3 groups (DENSE: -19.4 ± 4.8 %; deformation-tracking: -16.8 ± 2.4 %; feature-tracking: -28.7 ± 4.8%) (ANOVA with Tukey post-hoc, F-value 279.93, p<0.01). DENSE and deformation-tracking had better reproducibility than feature-tracking. Intra-class correlation co-efficient was >0.90. Larger magnitudes of strain were detected in women using deformation-tracking and DENSE, but not feature-tracking. Compared with a reference method (DENSE), deformation-tracking using cine imaging has similar diagnostic performance for circumferential strain assessment in healthy individuals. Deformation-tracking could potentially obviate the need for bespoke strain sequences, reducing scanning time and is more reproducible than feature-tracking.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Berry, Professor Colin and Mccomb, Dr Christie and Gao, Dr Hao and Carrick, Dr David and Luo, Professor Xiaoyu and Clerfond, Dr Guillaume and Mangion, Dr Kenneth and Haig, Dr Caroline
Authors: Mangion, K., Gao, H., Mccomb, C., Carrick, D., Clerfond, G., Zhong, X., Luo, X., Haig, C., and Berry, C.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Robertson Centre
College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Scientific Reports
Publisher:Nature Publishing Group
ISSN:2045-2322
ISSN (Online):2045-2322
Published Online:12 December 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Scientific Reports 6:38774
Publisher Policy:Reproduced under a creative commons license
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
533511Cardiac magnetic resonance imaging: technical development to enable new pathological insights in acute myocardial infarctionColin BerryScottish Executive Health Department (SEHHD-CSO)SCD/01RI CARDIOVASCULAR & MEDICAL SCIENCES
525991Cardiac magnetic resonance imaging: new pathological insights and functional significance in acute myocardial infarctionColin BerryMedical Research Scotland (MED-SCOT)343 FRG FRI CARDIOVASCULAR & MEDICAL SCIENCES
662681"First steps towards modelling myocardial infarction (a computed MI Physiome): A case-control study of novel biomechanical parameters in acute MI survivors with left ventricular dysfunction."Colin BerryBritish Heart Foundation (BHF)PG/14/64/31043RI CARDIOVASCULAR & MEDICAL SCIENCES
699321Myocardial strain measurements in survivors of acute ST-elevation myocardial infarction: implementation and prognostic significance of novel magnetic resonance imaging methods.Colin BerryBritish Heart Foundation (BHF)FS/15/54/31639RI CARDIOVASCULAR & MEDICAL SCIENCES
694461EPSRC Centre for Multiscale soft tissue mechanics with application to heart & cancerRaymond OgdenEngineering & Physical Sciences Research Council (EPSRC)EP/N014642/1M&S - MATHEMATICS
689601The first fully coupled mitral valve - left ventricle computational modelXiaoyu LuoLeverhulme Trust (LEVERHULME)RF-2015-510M&S - MATHEMATICS