Literature DB >> 26114731

Inter-study reproducibility of left ventricular torsion and torsion rate quantification using MR myocardial feature tracking.

Johannes T Kowallick1,2,3, Geraint Morton4, Pablo Lamata1,5, Roy Jogiya1, Shelby Kutty6, Joachim Lotz2,3, Gerd Hasenfuß3,7, Eike Nagel1, Amedeo Chiribiri1, Andreas Schuster1,3,7.   

Abstract

BACKGROUND: To determine the inter-study reproducibility of MR feature tracking (MR-FT) derived left ventricular (LV) torsion and torsion rates for a combined assessment of systolic and diastolic myocardial function.
METHODS: Steady-state free precession (SSFP) cine LV short-axis stacks were acquired at 9:00 (Exam A), 9:30 (Exam B), and 14:00 (Exam C) in 16 healthy volunteers at 3 Tesla. SSFP images were analyzed offline using MR-FT to assess rotational displacement in apical and basal slices. Global peak torsion, peak systolic and peak diastolic torsion rates were calculated using different definitions ("twist", "normalized twist" and "circumferential-longitudinal (CL) shear angle"). Exam A and B were compared to assess the inter-study reproducibility. Morning and afternoon scans were compared to address possible diurnal variation.
RESULTS: The different methods showed good inter-study reproducibility for global peak torsion (intraclass correlation coefficient [ICC]: 0.90-0.92; coefficient of variation [CoV]: 19.0-20.3%) and global peak systolic torsion rate (ICC: 0.82-0.84; CoV: 25.9-29.0%). Conversely, global peak diastolic torsion rate showed little inter-study reproducibility (ICC: 0.34-0.47; CoV: 40.8-45.5%). Global peak torsion as determined by the CL shear angle showed the best inter-study reproducibility (ICC: 0.90;CoV: 19.0%). MR-FT results were not measurably affected by diurnal variation between morning and afternoon scans (CL shear angle: 4.8 ± 1.4°, 4.8 ± 1.5°, and 4.1 ± 1.6° for Exam A, B, and C, respectively; P = 0.21).
CONCLUSION: MR-FT based derivation of myocardial peak torsion and peak systolic torsion rate has high inter-study reproducibility as opposed to peak diastolic torsion rate. The CL shear angle was the most reproducible parameter independently of cardiac anatomy and may develop into a robust tool to quantify cardiac rotational mechanics in longitudinal MR-FT patient studies.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  cardiovascular magnetic resonance; circumferential longitudinal shear angle; feature tracking; inter-study reproducibility; torsion; twist

Mesh:

Year:  2015        PMID: 26114731      PMCID: PMC6231545          DOI: 10.1002/jmri.24979

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  33 in total

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Authors:  Kihei Yoneyama; Ola Gjesdal; Eui-Young Choi; Colin O Wu; W Gregory Hundley; Antoinette S Gomes; Chia-Ying Liu; Robyn L McClelland; David A Bluemke; Joao A C Lima
Journal:  Circulation       Date:  2012-11-12       Impact factor: 29.690

2.  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

3.  Speckle-tracking analysis based on 2D echocardiography does not reliably measure left ventricular torsion.

Authors:  Valentina Parisi; Maria Angela Losi; Carla Contaldi; Elena Chiacchio; Fabio Pastore; Alessandra Scatteia; Alessandra Giamundo; Carlo di Nardo; Raffaella Lombardi; Sandro Betocchi
Journal:  Clin Physiol Funct Imaging       Date:  2012-10-03       Impact factor: 2.273

4.  Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study.

Authors:  Johannes Tammo Kowallick; Shelby Kutty; Frank Edelmann; Amedeo Chiribiri; Adriana Villa; Michael Steinmetz; Jan Martin Sohns; Wieland Staab; Nuno Bettencourt; Christina Unterberg-Buchwald; Gerd Hasenfuß; Joachim Lotz; Andreas Schuster
Journal:  J Cardiovasc Magn Reson       Date:  2014-08-12       Impact factor: 5.364

5.  Effect of mechanical dyssynchrony and cardiac resynchronization therapy on left ventricular rotational mechanics.

Authors:  Leyla Elif Sade; Ozlem Demir; Ilyas Atar; Haldun Müderrisoglu; Bülent Ozin
Journal:  Am J Cardiol       Date:  2008-02-20       Impact factor: 2.778

6.  Cardiovascular magnetic resonance myocardial feature tracking for quantitative viability assessment in ischemic cardiomyopathy.

Authors:  Andreas Schuster; Matthias Paul; Nuno Bettencourt; Geraint Morton; Amedeo Chiribiri; Masaki Ishida; Shazia Hussain; Roy Jogiya; Shelby Kutty; Boris Bigalke; Divaka Perera; Eike Nagel
Journal:  Int J Cardiol       Date:  2011-11-29       Impact factor: 4.164

Review 7.  Evaluation of left ventricular torsion by cardiovascular magnetic resonance.

Authors:  Alistair A Young; Brett R Cowan
Journal:  J Cardiovasc Magn Reson       Date:  2012-07-24       Impact factor: 5.364

8.  Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress.

Authors:  Andreas Schuster; Shelby Kutty; Asif Padiyath; Victoria Parish; Paul Gribben; David A Danford; Marcus R Makowski; Boris Bigalke; Philipp Beerbaum; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2011-10-12       Impact factor: 5.364

9.  Inter-study reproducibility of cardiovascular magnetic resonance tagging.

Authors:  Sirisha Donekal; Bharath Ambale-Venkatesh; Seth Berkowitz; Colin O Wu; Eui Young Choi; Veronica Fernandes; Raymond Yan; Ahmed A Harouni; David A Bluemke; Joao A C Lima
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-10       Impact factor: 5.364

10.  Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.

Authors:  Johannes T Kowallick; Pablo Lamata; Shazia T Hussain; Shelby Kutty; Michael Steinmetz; Jan M Sohns; Martin Fasshauer; Wieland Staab; Christina Unterberg-Buchwald; Boris Bigalke; Joachim Lotz; Gerd Hasenfuß; Andreas Schuster
Journal:  PLoS One       Date:  2014-10-06       Impact factor: 3.240

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  28 in total

1.  Left ventricular myocardial deformation in Takotsubo syndrome: a cardiovascular magnetic resonance myocardial feature tracking study.

Authors:  Thomas Stiermaier; Torben Lange; Amedeo Chiribiri; Christian Möller; Tobias Graf; Christina Villnow; Uwe Raaz; Adriana Villa; Johannes T Kowallick; Joachim Lotz; Gerd Hasenfuß; Holger Thiele; Andreas Schuster; Ingo Eitel
Journal:  Eur Radiol       Date:  2018-06-07       Impact factor: 5.315

2.  Left ventricular global myocardial strain assessment comparing the reproducibility of four commercially available CMR-feature tracking algorithms.

Authors:  Manuel Barreiro-Pérez; Davide Curione; Rolf Symons; Piet Claus; Jens-Uwe Voigt; Jan Bogaert
Journal:  Eur Radiol       Date:  2018-06-05       Impact factor: 5.315

3.  CardIAc: an open-source application for myocardial strain analysis.

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Journal:  Int J Comput Assist Radiol Surg       Date:  2020-11-16       Impact factor: 2.924

4.  Quantifying left atrial structure and function using single-plane tissue-tracking cardiac magnetic resonance.

Authors:  Susumu Tao; Luisa A Ciuffo; Joao A C Lima; Katherine C Wu; Hiroshi Ashikaga
Journal:  Magn Reson Imaging       Date:  2017-06-19       Impact factor: 2.546

5.  Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.

Authors:  Sören J Backhaus; Haneen Aldehayat; Johannes T Kowallick; Ruben Evertz; Torben Lange; Shelby Kutty; Boris Bigalke; Matthias Gutberlet; Gerd Hasenfuß; Holger Thiele; Thomas Stiermaier; Ingo Eitel; Andreas Schuster
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

6.  Optimal configuration of respiratory navigator gating for the quantification of left ventricular strain using spiral cine displacement encoding with stimulated echoes (DENSE) MRI.

Authors:  Sean M Hamlet; Christopher M Haggerty; Jonathan D Suever; Gregory J Wehner; Kristin N Andres; David K Powell; Xiaodong Zhong; Brandon K Fornwalt
Journal:  J Magn Reson Imaging       Date:  2016-07-26       Impact factor: 4.813

7.  Defining the optimal temporal and spatial resolution for cardiovascular magnetic resonance imaging feature tracking.

Authors:  Sebastian Kelle; Andreas Schuster; Sören J Backhaus; Georg Metschies; Marcus Billing; Jonas Schmidt-Rimpler; Johannes T Kowallick; Roman J Gertz; Tomas Lapinskas; Elisabeth Pieske-Kraigher; Burkert Pieske; Joachim Lotz; Boris Bigalke; Shelby Kutty; Gerd Hasenfuß
Journal:  J Cardiovasc Magn Reson       Date:  2021-05-17       Impact factor: 5.364

8.  Quantification of strain analysis and late gadolinium enhancement in coronary chronic total occlusion: a cardiovascular magnetic resonance imaging follow-up study.

Authors:  Lijun Zhang; Jinfan Tian; Xueyao Yang; Jielin Liu; Yi He; Xiantao Song
Journal:  Quant Imaging Med Surg       Date:  2022-02

9.  Cardiovascular magnetic resonance feature tracking in small animals - a preliminary study on reproducibility and sample size calculation.

Authors:  Tomas Lapinskas; Jana Grune; Seyedeh Mahsa Zamani; Sarah Jeuthe; Daniel Messroghli; Rolf Gebker; Heike Meyborg; Ulrich Kintscher; Remigijus Zaliunas; Burkert Pieske; Philipp Stawowy; Sebastian Kelle
Journal:  BMC Med Imaging       Date:  2017-08-23       Impact factor: 1.930

Review 10.  Takotsubo Syndrome-Is There a Need for CMR?

Authors:  Philipp-Johannes Jensch; Thomas Stiermaier; Ingo Eitel
Journal:  Curr Heart Fail Rep       Date:  2021-06-20
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