Literature DB >> 28239799

The consistency of myocardial strain derived from heart deformation analysis.

Eric J Keller1, Shanna Fang1, Kai Lin1, Benjamin H Freed2, Peter M Smith1, Bruce S Spottiswoode3, Rachel Davids1, Maria Carr1, Marie-Pierre Jolly4, Michael Markl1,5, James C Carr1, Jeremy D Collins6.   

Abstract

The purpose of this study was to assess the consistency of semi-automated myocardial strain analysis by prototype software across field strengths, temporal resolutions, and examinations. 35 volunteers (48 ± 13 years; 20% women) and 25 patients (54 ± 12 years; 44% women) without significant cardiac dysfunction underwent cine cardiac magnetic resonance imaging (CMR) at 1.5 T with a temporal resolution of 39.2 msec. 34 subjects also underwent imaging at 3.0 T; 16 had repeat examinations within 14 days; and 9 underwent CMR with temporal resolutions of 12.5 and 39.2 msec on the same day. Prototype heart deformation analysis (HDA) software was used to retrospectively quantify strain from segmented balanced steady state free precession (bSSFP) cinegraphic images. Myocardial contours were automatically generated on short axis images and drawn at end-diastole by two independent reviewers on long-axis images. Contours were automatically propagated throughout the cardiac cycle. Global and regional peak systolic strain were compared across observers, field strengths, temporal resolutions, and examinations. Inter-observer agreement was excellent (ICC > 0.87, p < 0.01). Inter-examination variability was low, ranging from 1.7 (1.0-2.4)% to 2.5 (1.9-3.1)%, except for radial strain: 9.2 (7.6-10.5)%. Most global and regional strain values were not significantly different across field strengths and temporal resolutions (p > 0.05). Normal global peak systolic strain values with HDA were -25.0 (-24.0 to -26.1)% (LV circumferential), 60.5 (55.3 to 65.6)% (LV radial), -22.3 (-20.5 to - 24.0)% (LV longitudinal), and -26.0 (-23.8 to -28.2)% (RV longitudinal). HDA prototype software enabled efficient and consistent quantification of myocardial strain from conventional bSSFP cine CMR data, demonstrating clinical feasibility.

Entities:  

Keywords:  Consistency; Field strength; Heart deformation analysis; Myocardial strain; Temporal resolution

Mesh:

Year:  2017        PMID: 28239799     DOI: 10.1007/s10554-017-1090-6

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  39 in total

1.  Magnetic resonance tagging and echocardiographic response to dobutamine and functional improvement after reperfused myocardial infarction.

Authors:  Christopher M Kramer; Michael J Malkowski; Sunil Mankad; Therese M Theobald; Diana L Pakstis; Walter J Rogers
Journal:  Am Heart J       Date:  2002-06       Impact factor: 4.749

2.  Regional right ventricular function and timing of contraction in healthy volunteers evaluated by strain-encoded MRI.

Authors:  Ashraf Hamdan; Thomas Thouet; Sebastian Kelle; Kelle Sebastian; Ingo Paetsch; Rolf Gebker; Ernst Wellnhofer; Bernhard Schnackenburg; Ahmed S Fahmy; Nael F Osman; Eckart Fleck
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

3.  Prediction of all-cause mortality from global longitudinal speckle strain: comparison with ejection fraction and wall motion scoring.

Authors:  Tony Stanton; Rodel Leano; Thomas H Marwick
Journal:  Circ Cardiovasc Imaging       Date:  2009-07-21       Impact factor: 7.792

4.  Quantification of global myocardial function by cine MRI deformable registration-based analysis: Comparison with MR feature tracking and speckle-tracking echocardiography.

Authors:  Mariana M Lamacie; Paaladinesh Thavendiranathan; Kate Hanneman; Andreas Greiser; Marie-Pierre Jolly; Richard Ward; Bernd J Wintersperger
Journal:  Eur Radiol       Date:  2016-08-04       Impact factor: 5.315

5.  Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis.

Authors:  Kan N Hor; William M Gottliebson; Christopher Carson; Erin Wash; James Cnota; Robert Fleck; Janaka Wansapura; Piotr Klimeczek; Hussein R Al-Khalidi; Eugene S Chung; D Woodrow Benson; Wojciech Mazur
Journal:  JACC Cardiovasc Imaging       Date:  2010-02

6.  Heart deformation analysis for automated quantification of cardiac function and regional myocardial motion patterns: A proof of concept study in patients with cardiomyopathy and healthy subjects.

Authors:  Kai Lin; Jeremy D Collins; Varun Chowdhary; Michael Markl; James C Carr
Journal:  Eur J Radiol       Date:  2016-08-10       Impact factor: 3.528

7.  Automated Assessment of Left Ventricular Function and Mass Using Heart Deformation Analysis: Initial Experience in 160 Older Adults.

Authors:  Kai Lin; Jeremy D Collins; Donald M Lloyd-Jones; Marie-Pierre Jolly; Debiao Li; Michael Markl; James C Carr
Journal:  Acad Radiol       Date:  2015-12-31       Impact factor: 3.173

8.  Real-time fast strain-encoded magnetic resonance imaging to evaluate regional myocardial function at 3.0 Tesla: comparison to conventional tagging.

Authors:  Grigorios Korosoglou; Amr A Youssef; Kenneth C Bilchick; El-Sayed Ibrahim; Albert C Lardo; Shenghan Lai; Nael F Osman
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

9.  Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 Tesla: a comparison of feature-tracking and tagging in patients with aortic stenosis.

Authors:  Anvesha Singh; Christopher D Steadman; Jamal N Khan; Mark A Horsfield; Soliana Bekele; Sheraz A Nazir; Prathap Kanagala; Nicholas G D Masca; Patrick Clarysse; Gerry P McCann
Journal:  J Magn Reson Imaging       Date:  2014-04-03       Impact factor: 4.813

10.  Inter-study reproducibility of cardiovascular magnetic resonance myocardial feature tracking.

Authors:  Geraint Morton; Andreas Schuster; Roy Jogiya; Shelby Kutty; Philipp Beerbaum; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2012-06-21       Impact factor: 5.364

View more
  3 in total

1.  Quantification of myocardial deformation by deformable registration-based analysis of cine MRI: validation with tagged CMR.

Authors:  Mariana M Lamacie; Christian P Houbois; Andreas Greiser; Marie-Pierre Jolly; Paaladinesh Thavendiranathan; Bernd J Wintersperger
Journal:  Eur Radiol       Date:  2019-02-15       Impact factor: 5.315

2.  Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla.

Authors:  Kenneth Mangion; Nicole M M Burke; Christie McComb; David Carrick; Rosemary Woodward; Colin Berry
Journal:  Sci Rep       Date:  2019-03-01       Impact factor: 4.379

3.  Quantification of myocardial strain in patients with isolated left ventricular non-compaction and healthy subjects using deformable registration algorithm: comparison with feature tracking.

Authors:  Jia Liu; Yumin Li; Yue Cui; Yukun Cao; Sheng Yao; Xiaoyue Zhou; Jens Wetzl; Wenjuan Zeng; Heshui Shi
Journal:  BMC Cardiovasc Disord       Date:  2020-09-03       Impact factor: 2.298

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.