Literature DB >> 33619807

Myofiber strain in healthy humans using DENSE and cDTI.

Kévin Moulin1, Pierre Croisille2,3, Magalie Viallon2,3, Ilya A Verzhbinsky4, Luigi E Perotti5, Daniel B Ennis1.   

Abstract

PURPOSE: Myofiber strain, Eff , is a mechanistically relevant metric of cardiac cell shortening and is expected to be spatially uniform in healthy populations, making it a prime candidate for the evaluation of local cardiomyocyte contractility. In this study, a new, efficient pipeline was proposed to combine microstructural cDTI and functional DENSE data in order to estimate Eff in vivo.
METHODS: Thirty healthy volunteers were scanned with three long-axis (LA) and three short-axis (SA) DENSE slices using 2D displacement encoding and one SA slice of cDTI. The total acquisition time was 11 minutes ± 3 minutes across volunteers. The pipeline first generates 3D SA displacements from all DENSE slices which are then combined with cDTI data to generate a cine of myofiber orientations and compute Eff . The precision of the post-processing pipeline was assessed using a computational phantom study. Transmural myofiber strain was compared to circumferential strain, Ecc , in healthy volunteers using a Wilcoxon sign rank test.
RESULTS: In vivo, computed Eff was found uniform transmurally compared to Ecc (-0.14[-0.15, -0.12] vs -0.18 [-0.20, -0.16], P < .001, -0.14 [-0.16, -0.12] vs -0.16 [-0.17, -0.13], P < .001 and -0.14 [-0.16, -0.12] vs Ecc_C = -0.14 [-0.15, -0.11], P = .002, Eff_C vs Ecc_C in the endo, mid, and epi layers, respectively).
CONCLUSION: We demonstrate that it is possible to measure in vivo myofiber strain in a healthy human population in 10 minutes per subject. Myofiber strain was observed to be spatially uniform in healthy volunteers making it a potential biomarker for the evaluation of local cardiomyocyte contractility in assessing cardiovascular dysfunction.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  DENSE; cDTI; myofiber strain

Mesh:

Year:  2021        PMID: 33619807      PMCID: PMC8223515          DOI: 10.1002/mrm.28724

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  38 in total

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3.  Quantifying precision in cardiac diffusion tensor imaging with second-order motion-compensated convex optimized diffusion encoding.

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Journal:  IEEE Trans Med Imaging       Date:  2012-04-03       Impact factor: 10.048

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7.  Reproducibility of cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance for measuring left ventricular strains, torsion, and synchrony in mice.

Authors:  Christopher M Haggerty; Sage P Kramer; Cassi M Binkley; David K Powell; Andrea C Mattingly; Richard Charnigo; Frederick H Epstein; Brandon K Fornwalt
Journal:  J Cardiovasc Magn Reson       Date:  2013-08-27       Impact factor: 5.364

8.  Dual-phase cardiac diffusion tensor imaging with strain correction.

Authors:  Christian T Stoeck; Aleksandra Kalinowska; Constantin von Deuster; Jack Harmer; Rachel W Chan; Markus Niemann; Robert Manka; David Atkinson; David E Sosnovik; Choukri Mekkaoui; Sebastian Kozerke
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

9.  Spin echo versus stimulated echo diffusion tensor imaging of the in vivo human heart.

Authors:  Constantin von Deuster; Christian T Stoeck; Martin Genet; David Atkinson; Sebastian Kozerke
Journal:  Magn Reson Med       Date:  2015-10-07       Impact factor: 4.668

10.  Assessment of Myocardial Microstructural Dynamics by In Vivo Diffusion Tensor Cardiac Magnetic Resonance.

Authors:  Sonia Nielles-Vallespin; Zohya Khalique; Pedro F Ferreira; Ranil de Silva; Andrew D Scott; Philip Kilner; Laura-Ann McGill; Archontis Giannakidis; Peter D Gatehouse; Daniel Ennis; Eric Aliotta; Majid Al-Khalil; Peter Kellman; Dumitru Mazilu; Robert S Balaban; David N Firmin; Andrew E Arai; Dudley J Pennell
Journal:  J Am Coll Cardiol       Date:  2017-02-14       Impact factor: 24.094

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