Literature DB >> 26384485

Evaluation of ventricular dysfunction using semi-automatic longitudinal strain analysis of four-chamber cine MR imaging.

Masateru Kawakubo1,2, Michinobu Nagao3, Seiji Kumazawa4,5, Yuzo Yamasaki6, Akiko S Chishaki4, Yasuhiko Nakamura7, Hiroshi Honda6, Junji Morishita4.   

Abstract

The aim of this study was to evaluate ventricular dysfunction using the longitudinal strain analysis in 4-chamber (4CH) cine MR imaging, and to investigate the agreement between the semi-automatic and manual measurements in the analysis. Fifty-two consecutive patients with ischemic, or non-ischemic cardiomyopathy and repaired tetralogy of Fallot who underwent cardiac MR examination incorporating cine MR imaging were retrospectively enrolled. The LV and RV longitudinal strain values were obtained by semi-automatically and manually. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cutoff of the minimum longitudinal strain value for the detection of patients with cardiac dysfunction. The correlations between manual and semi-automatic measurements for LV and RV walls were analyzed by Pearson coefficient analysis. ROC analysis demonstrated the optimal cut-off of the minimum longitudinal strain values (εL_min) for diagnoses the LV and RV dysfunction at a high accuracy (LV εL_min = -7.8 %: area under the curve, 0.89; sensitivity, 83 %; specificity, 91 %, RV εL_min = -15.7 %: area under the curve, 0.82; sensitivity, 92 %; specificity, 68 %). Excellent correlations between manual and semi-automatic measurements for LV and RV free wall were observed (LV, r = 0.97, p < 0.01; RV, r = 0.79, p < 0.01). Our semi-automatic longitudinal strain analysis in 4CH cine MR imaging can evaluate LV and RV dysfunction with simply and easy measurements. The strain analysis could have extensive application in cardiac imaging for various clinical cases.

Entities:  

Keywords:  Cine magnetic resonance imaging; Feature tracking; Left ventricular ejection fraction; Right ventricular ejection fraction; Semi-automatic longitudinal strain analysis

Mesh:

Year:  2015        PMID: 26384485     DOI: 10.1007/s10554-015-0771-2

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


  22 in total

1.  Quantitative assessment of regional myocardial function with MR-tagging in a multi-center study: interobserver and intraobserver agreement of fast strain analysis with Harmonic Phase (HARP) MRI.

Authors:  Ernesto Castillo; Nael F Osman; Boaz D Rosen; Iman El-Shehaby; Li Pan; Michael Jerosch-Herold; Shenghan Lai; David A Bluemke; João A C Lima
Journal:  J Cardiovasc Magn Reson       Date:  2005       Impact factor: 5.364

2.  Noninvasive myocardial strain measurement by speckle tracking echocardiography: validation against sonomicrometry and tagged magnetic resonance imaging.

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

3.  Speckle tracking for assessment of cardiac motion and dyssynchrony.

Authors:  Tetsuya Kawagishi
Journal:  Echocardiography       Date:  2008-11       Impact factor: 1.724

4.  Reproducibility of MRI-derived measurements of right ventricular volumes and myocardial mass.

Authors:  P M Pattynama; H J Lamb; E A Van der Velde; R J Van der Geest; E E Van der Wall; A De Roos
Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

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.  Quantification of right ventricular function with magnetic resonance imaging in children with normal hearts and with congenital heart disease.

Authors:  W A Helbing; S A Rebergen; C Maliepaard; B Hansen; J Ottenkamp; J H Reiber; A de Roos
Journal:  Am Heart J       Date:  1995-10       Impact factor: 4.749

7.  The intra-observer reproducibility of cardiovascular magnetic resonance myocardial feature tracking strain assessment is independent of field strength.

Authors:  Andreas Schuster; Geraint Morton; Shazia T Hussain; Roy Jogiya; Shelby Kutty; Kaleab N Asrress; Marcus R Makowski; Boris Bigalke; Divaka Perera; Philipp Beerbaum; Eike Nagel
Journal:  Eur J Radiol       Date:  2012-12-12       Impact factor: 3.528

8.  Assessment of Myocardial Contractile Function Using Global and Segmental Circumferential Strain following Intracoronary Stem Cell Infusion after Myocardial Infarction: MRI Feature Tracking Feasibility Study.

Authors:  Sabha Bhatti; Hussein Al-Khalidi; Kan Hor; Abdul Hakeem; Michael Taylor; Arshed A Quyyumi; John Oshinski; Andrew L Pecora; Dean Kereiakes; Eugene Chung; Gianni Pedrizzetti; Tomasz Miszalski-Jamka; Wojciech Mazur
Journal:  ISRN Radiol       Date:  2012-09-29

9.  A dual propagation contours technique for semi-automated assessment of systolic and diastolic cardiac function by CMR.

Authors:  Wei Feng; Hosakote Nagaraj; Himanshu Gupta; Steven G Lloyd; Inmaculada Aban; Gilbert J Perry; David A Calhoun; Louis J Dell'Italia; Thomas S Denney
Journal:  J Cardiovasc Magn Reson       Date:  2009-08-13       Impact factor: 5.364

10.  Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar.

Authors:  Eva Maret; Tim Todt; Lars Brudin; Eva Nylander; Eva Swahn; Jan L Ohlsson; Jan E Engvall
Journal:  Cardiovasc Ultrasound       Date:  2009-11-16       Impact factor: 2.062

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  4 in total

1.  Clinical usefulness of right ventricular 3D area strain in the assessment of treatment effects of balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension: comparison with 2D feature-tracking MRI.

Authors:  Masateru Kawakubo; Yuzo Yamasaki; Takeshi Kamitani; Koji Sagiyama; Yuko Matsuura; Takuya Hino; Kohtaro Abe; Kazuya Hosokawa; Hidetake Yabuuchi; Hiroshi Honda
Journal:  Eur Radiol       Date:  2019-02-21       Impact factor: 5.315

2.  Feature-Tracking MRI Fractal Analysis of Right Ventricular Remodeling in Adults with Congenitally Corrected Transposition of the Great Arteries.

Authors:  Masateru Kawakubo; Michinobu Nagao; Umiko Ishizaki; Yumi Shiina; Kei Inai; Yuzo Yamasaki; Masami Yoneyama; Shuji Sakai
Journal:  Radiol Cardiothorac Imaging       Date:  2019-10-31

3.  Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Johan De Sutter; Paul Schoenhagen; Arthur E Stillman; Nico R L Vande Veire
Journal:  Int J Cardiovasc Imaging       Date:  2017-06       Impact factor: 2.357

4.  Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network.

Authors:  Hideo Arai; Masateru Kawakubo; Kenichi Sanui; Ryoji Iwamoto; Hiroshi Nishimura; Toshiaki Kadokami
Journal:  Int J Environ Res Public Health       Date:  2022-01-27       Impact factor: 3.390

  4 in total

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