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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
Source :
Journal of Cardiovascular Magnetic Resonance, Vol 19, Iss 1, Pp 1-13 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

Abstract Background Regional right ventricular (RV) dysfunction is the hallmark of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy (ARVD/C), but is currently only qualitatively evaluated in the clinical setting. Feature Tracking Cardiovascular Magnetic Resonance (FT-CMR) is a novel quantitative method that uses cine CMR to calculate strain values. However, most prior FT-CMR studies in ARVD/C have focused on global RV strain using different software methods, complicating implementation of FT-CMR in clinical practice. We aimed to assess the clinical value of global and regional strain using FT-CMR in ARVD/C and to determine differences between commercially available FT-CMR software packages. Methods We analyzed cine CMR images of 110 subjects (39 overt ARVD/C [mutation+/phenotype+], 40 preclinical ARVD/C [mutation+/phenotype-] and 31 control) for global and regional (subtricuspid, anterior, apical) RV strain in the horizontal longitudinal axis using four FT-CMR software methods (Multimodality Tissue Tracking, TomTec, Medis and Circle Cardiovascular Imaging). Intersoftware agreement was assessed using Bland Altman plots. Results For global strain, all methods showed reduced strain in overt ARVD/C patients compared to control subjects (p 0.275). For regional strain, overt ARVD/C patients showed reduced strain compared to control subjects in all segments which reached statistical significance in the subtricuspid region for all software methods (p

Details

Language :
English
ISSN :
1532429X
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Cardiovascular Magnetic Resonance
Publication Type :
Academic Journal
Accession number :
edsdoj.02abd01b37ef4aeabe931bd28a96af77
Document Type :
article
Full Text :
https://doi.org/10.1186/s12968-017-0380-4