Eric D Carruth1, Samuel W Fielden1,2, Christopher D Nevius1, Brandon K Fornwalt1,3,4, Christopher M Haggerty5,6. 1. Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA. 2. Medical and Health Physics, Geisinger, Danville, PA, USA. 3. The Heart Institute, Geisinger, Danville, PA, USA. 4. Department of Radiology, Geisinger, Danville, PA, USA. 5. Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA. chris.m.haggerty@gmail.com. 6. The Heart Institute, Geisinger, Danville, PA, USA. chris.m.haggerty@gmail.com.
Abstract
PURPOSE: Right ventricular (RV) function is increasingly recognized for its prognostic value in many disease states. As with the left ventricle (LV), strain-based measurements may have better prognostic value than typical chamber volumes or ejection fraction. Complete functional characterization of the RV requires high-resolution, 3D displacement tracking methods, which have been prohibitively challenging to implement. Zonal excitation during Displacement ENcoding with Stimulated Echoes (DENSE) magnetic resonance imaging (MRI) has helped reduce scan time for 2D LV strain quantification. We hypothesized that zonal excitation could alternatively be used to reproducibly acquire higher resolution, 3D-encoded DENSE images for quantification of bi-ventricular strain within a single breath-hold. METHODS: We modified sequence parameters for a 3D zonal excitation DENSE sequence to achieve in-plane resolution < 2 mm and acquired two sets of images in eight healthy adult male volunteers with median (IQR) age 32.5 (32.0-33.8) years. We assessed the inter-test reproducibility of this technique, and compared computed strains and torsion with previously published data. RESULTS: Data for one subject was excluded based on image artifacts. Reproducibility for LV (CoV: 6.1-9.0%) and RV normal strains (CoV: 6.3-8.2%) and LV torsion (CoV = 7.1%) were all very good. Reproducibility of RV torsion was lower (CoV = 16.7%), but still within acceptable limits. Computed global strains and torsion were within reasonable agreement with published data, but further studies in larger cohorts are needed to confirm. CONCLUSION: Reproducible acquisition of 3D-encoded biventricular myocardial strain data in a breath-hold is feasible using DENSE with zonal excitation.
PURPOSE: Right ventricular (RV) function is increasingly recognized for its prognostic value in many disease states. As with the left ventricle (LV), strain-based measurements may have better prognostic value than typical chamber volumes or ejection fraction. Complete functional characterization of the RV requires high-resolution, 3D displacement tracking methods, which have been prohibitively challenging to implement. Zonal excitation during Displacement ENcoding with Stimulated Echoes (DENSE) magnetic resonance imaging (MRI) has helped reduce scan time for 2D LV strain quantification. We hypothesized that zonal excitation could alternatively be used to reproducibly acquire higher resolution, 3D-encoded DENSE images for quantification of bi-ventricular strain within a single breath-hold. METHODS: We modified sequence parameters for a 3D zonal excitation DENSE sequence to achieve in-plane resolution < 2 mm and acquired two sets of images in eight healthy adult male volunteers with median (IQR) age 32.5 (32.0-33.8) years. We assessed the inter-test reproducibility of this technique, and compared computed strains and torsion with previously published data. RESULTS: Data for one subject was excluded based on image artifacts. Reproducibility for LV (CoV: 6.1-9.0%) and RV normal strains (CoV: 6.3-8.2%) and LV torsion (CoV = 7.1%) were all very good. Reproducibility of RV torsion was lower (CoV = 16.7%), but still within acceptable limits. Computed global strains and torsion were within reasonable agreement with published data, but further studies in larger cohorts are needed to confirm. CONCLUSION: Reproducible acquisition of 3D-encoded biventricular myocardial strain data in a breath-hold is feasible using DENSE with zonal excitation.
Authors: J D'hooge; A Heimdal; F Jamal; T Kukulski; B Bijnens; F Rademakers; L Hatle; P Suetens; G R Sutherland Journal: Eur J Echocardiogr Date: 2000-09
Authors: Brage H Amundsen; Thomas Helle-Valle; Thor Edvardsen; Hans Torp; Jonas Crosby; Erik Lyseggen; Asbjørn Støylen; Halfdan Ihlen; João A C Lima; Otto A Smiseth; Stig A Slørdahl Journal: J Am Coll Cardiol Date: 2006-01-26 Impact factor: 24.094
Authors: Daniel A Auger; Xiaodong Zhong; Frederick H Epstein; Bruce S Spottiswoode Journal: J Cardiovasc Magn Reson Date: 2012-01-11 Impact factor: 5.364
Authors: Xiao Chen; Yang Yang; Xiaoying Cai; Daniel A Auger; Craig H Meyer; Michael Salerno; Frederick H Epstein Journal: J Cardiovasc Magn Reson Date: 2016-06-14 Impact factor: 5.364
Authors: M S Amzulescu; M De Craene; H Langet; A Pasquet; D Vancraeynest; A C Pouleur; J L Vanoverschelde; B L Gerber Journal: Eur Heart J Cardiovasc Imaging Date: 2019-06-01 Impact factor: 6.875
Authors: Daniel A Auger; Sona Ghadimi; Xiaoying Cai; Claire E Reagan; Changyu Sun; Mohamad Abdi; Jie Jane Cao; Joshua Y Cheng; Nora Ngai; Andrew D Scott; Pedro F Ferreira; John N Oshinski; Nick Emamifar; Daniel B Ennis; Michael Loecher; Zhan-Qiu Liu; Pierre Croisille; Magalie Viallon; Kenneth C Bilchick; Frederick H Epstein Journal: J Cardiovasc Magn Reson Date: 2022-04-04 Impact factor: 6.903