title: Comparison of magnetic resonance feature tracking with harmonic phase imaging analysis (CSPAMM) for assessment of global and regional diastolic function.
abstract: OBJECTIVE
  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.
  
  
  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.
  
  
  CONCLUSIONS
  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.affiliation: Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany.
authors.forename: D
authors.initials: D
authors.lastname: Kuetting
authors.affiliation: Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany.
authors.forename: A M
authors.initials: AM
authors.lastname: Sprinkart
authors.affiliation: Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany.
authors.forename: J
authors.initials: J
authors.lastname: Doerner
authors.affiliation: Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Schild
authors.affiliation: Department of Radiology, University of Bonn, Sigmund-Freud-Str.25, 53105 Bonn, Germany. Electronic address: daniel.thomas@ukb.uni-bonn.de.
authors.forename: D
authors.initials: D
authors.lastname: Thomas
mesh_terms: D000328:Adult; D000368:Aged; D003971:Diastole / Q000502:physiology*; D005240:Feasibility Studies; D005260:Female; D006352:Heart Ventricles / Q000503:physiopathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D015588:Observer Variation; D011446:Prospective Studies; D015203:Reproducibility of Results
keywords: Diastolic dysfunction; Feature tracking; Harmonic phase; Tagging