D Kuetting1, A M Sprinkart1, J Doerner1, H Schild1, D Thomas2. 1. Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany. 2. Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany. Electronic address: daniel.thomas@ukb.uni-bonn.de.
Abstract
AIMS: Complex post-processing is required for strain-derived assessment of diastolic dysfunction (DD) using CMR-tagging (TAG). Feature-tracking (FT), allows for rapid systolic strain assessment using conventional steady-state free precession (SSFP)-Cine sequences. Aim of this study was to investigate whether FT may be employed for the clinically applicable quantification of DD. METHODS AND RESULTS: 40 individuals (20 patients with DD I-III°, 20 controls) were investigated. CSPAMM and SSFP-Cine sequences were acquired in identical short-axis locations. Global and regional early diastolic strain rate (EDSR), peak diastolic strain rate (PDSR), twist, untwist and torsion were calculated from tagged and SSFP-Cine datasets. DD indices were compared, intra- as well inter-observer variability assessed. RESULTS: for global EDSR correlated strongly (r=0.94), revealed good agreement and no significant differences between both methods. Correlation for regional EDSR was lower, results differed significantly in the anterior wall (p<0.05). Correlation for PDSR was moderate (r=0.63), results in the healthy control group differed significantly (p<0.05). FT derived rotational indices correlated poorly with TAG (twist: r=0.28; untwist: r=0.02; torsion: r=0.26), subgroup analysis revealed significant differences (p<0.05). Intra- and inter-observer variability for FT derived global EDSR and PDSR were comparable to TAG, but significantly higher for regional EDSR and rotational indices. CONCLUSION: FT derived global EDSR allows for rapid clinical determination of diastolic dysfunction, revealing good agreement with TAG and low intra- as well as interobserver variability. However, TAG analysis not only yields higher accuracy and reproducibility of global- and regional diastolic strain, but also delivers reliable information about diastolic rotational and untwisting dynamics.
AIMS: Complex post-processing is required for strain-derived assessment of diastolic dysfunction (DD) using CMR-tagging (TAG). Feature-tracking (FT), allows for rapid systolic strain assessment using conventional steady-state free precession (SSFP)-Cine sequences. Aim of this study was to investigate whether FT may be employed for the clinically applicable quantification of DD. METHODS AND RESULTS: 40 individuals (20 patients with DD I-III°, 20 controls) were investigated. CSPAMM and SSFP-Cine sequences were acquired in identical short-axis locations. Global and regional early diastolic strain rate (EDSR), peak diastolic strain rate (PDSR), twist, untwist and torsion were calculated from tagged and SSFP-Cine datasets. DD indices were compared, intra- as well inter-observer variability assessed. RESULTS: for global EDSR correlated strongly (r=0.94), revealed good agreement and no significant differences between both methods. Correlation for regional EDSR was lower, results differed significantly in the anterior wall (p<0.05). Correlation for PDSR was moderate (r=0.63), results in the healthy control group differed significantly (p<0.05). FT derived rotational indices correlated poorly with TAG (twist: r=0.28; untwist: r=0.02; torsion: r=0.26), subgroup analysis revealed significant differences (p<0.05). Intra- and inter-observer variability for FT derived global EDSR and PDSR were comparable to TAG, but significantly higher for regional EDSR and rotational indices. CONCLUSION: FT derived global EDSR allows for rapid clinical determination of diastolic dysfunction, revealing good agreement with TAG and low intra- as well as interobserver variability. However, TAG analysis not only yields higher accuracy and reproducibility of global- and regional diastolic strain, but also delivers reliable information about diastolic rotational and untwisting dynamics.
Authors: Julian A Luetkens; Rami Homsi; Alois M Sprinkart; Jonas Doerner; Darius Dabir; Daniel L Kuetting; Wolfgang Block; René Andrié; Christian Stehning; Rolf Fimmers; Juergen Gieseke; Daniel K Thomas; Hans H Schild; Claas P Naehle Journal: Eur Heart J Cardiovasc Imaging Date: 2015-10-16 Impact factor: 6.875
Authors: Inna Y Gong; Bandar Al-Amro; G V Ramesh Prasad; Philip W Connelly; Rachel M Wald; Ron Wald; Djeven P Deva; Howard Leong-Poi; Michelle M Nash; Weiqiu Yuan; Lakshman Gunaratnam; S Joseph Kim; Charmaine E Lok; Kim A Connelly; Andrew T Yan Journal: J Cardiovasc Magn Reson Date: 2018-12-17 Impact factor: 5.364
Authors: Daniel L R Kuetting; Darius Dabir; Rami Homsi; Alois M Sprinkart; Julian Luetkens; Hans H Schild; Daniel K Thomas Journal: J Cardiovasc Magn Reson Date: 2016-05-21 Impact factor: 5.364
Authors: Andreas Feisst; Daniel L R Kuetting; Darius Dabir; Julian Luetkens; Rami Homsi; Hans H Schild; Daniel Thomas Journal: Int J Cardiol Heart Vasc Date: 2018-03-06
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