Literature DB >> 24249515

Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods.

Leik Woie1, Frode Måløy, Trygve Eftestøl, Kjersti Engan, Thor Edvardsen, Jan Terje Kvaløy, Stein Ørn.   

Abstract

Current methods for the estimation of infarct size by late-enhanced cardiac magnetic imaging are based upon 2D analysis that first determines the size of the infarction in each slice, and thereafter adds the infarct sizes from each slice to generate a volume. We present a novel, automatic 3D method that estimates infarct size by a simultaneous analysis of all pixels from all slices. In a population of 54 patients with ischemic scars, the infarct size estimated by the automatic 3D method was compared with four established 2D methods. The new 3D method defined scar as the sum of all pixels with signal intensity (SI) ≥35 % of max SI from the complete myocardium, border zone: SI 35-50 % of max SI and core as SI ≥50 % of max SI. The 3D method yielded smaller infarct size (-2.8 ± 2.3 %) and core size (-3.0 ± 1.7 %) than the 2D method most similar to ours. There was no difference in the size of the border zone (0.2 ± 1.4 %). The 3D method demonstrated stronger correlations between scar size and left ventricular (LV) remodelling parameters (LV ejection fraction: r = -0.71, p < 0.0005, LV end-diastolic index: r = 0.54, p < 0.0005, and LV end-systolic index: r = 0.59, p < 0.0005) compared with conventional 2D methods. Infarct size estimation by our novel 3D automatic method is without the need for manual demarcation of the scar; it is less time-consuming and has a stronger correlation with remodelling parameters compared with existing methods.

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Year:  2013        PMID: 24249515     DOI: 10.1007/s10554-013-0329-0

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


  8 in total

1.  Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator.

Authors:  Stijntje D Roes; C Jan Willem Borleffs; Rob J van der Geest; Jos J M Westenberg; Nina Ajmone Marsan; Theodorus A M Kaandorp; Johan H C Reiber; Katja Zeppenfeld; Hildo J Lamb; Albert de Roos; Martin J Schalij; Jeroen J Bax
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-23       Impact factor: 7.792

2.  CMR for sudden cardiac death risk stratification: are we there yet?

Authors:  Daniel C Lee; Jeffrey J Goldberger
Journal:  JACC Cardiovasc Imaging       Date:  2013-02-20

3.  Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality.

Authors:  Andrew T Yan; Adolphe J Shayne; Kenneth A Brown; Sandeep N Gupta; Carmen W Chan; Tuan M Luu; Marcelo F Di Carli; H Glenn Reynolds; William G Stevenson; Raymond Y Kwong
Journal:  Circulation       Date:  2006-06-26       Impact factor: 29.690

4.  The heart rate of ventricular tachycardia following an old myocardial infarction is inversely related to the size of scarring.

Authors:  Leik Woie; Trygve Eftestøl; Kjersti Engan; Jan Terje Kvaløy; Dennis W T Nilsen; Stein Ørn
Journal:  Europace       Date:  2011-01-11       Impact factor: 5.214

5.  Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction.

Authors:  André Schmidt; Clerio F Azevedo; Alan Cheng; Sandeep N Gupta; David A Bluemke; Thomas K Foo; Gary Gerstenblith; Robert G Weiss; Eduardo Marbán; Gordon F Tomaselli; João A C Lima; Katherine C Wu
Journal:  Circulation       Date:  2007-03-26       Impact factor: 29.690

6.  Accurate and objective infarct sizing by contrast-enhanced magnetic resonance imaging in a canine myocardial infarction model.

Authors:  Luciano C Amado; Bernhard L Gerber; Sandeep N Gupta; Dan W Rettmann; Gilberto Szarf; Robert Schock; Khurram Nasir; Dara L Kraitchman; João A C Lima
Journal:  J Am Coll Cardiol       Date:  2004-12-21       Impact factor: 24.094

Review 7.  Assessment of myocardial fibrosis with cardiovascular magnetic resonance.

Authors:  Nathan Mewton; Chia Ying Liu; Pierre Croisille; David Bluemke; João A C Lima
Journal:  J Am Coll Cardiol       Date:  2011-02-22       Impact factor: 24.094

8.  Microvascular obstruction is a major determinant of infarct healing and subsequent left ventricular remodelling following primary percutaneous coronary intervention.

Authors:  Stein Ørn; Cord Manhenke; Ole Jacob Greve; Alf Inge Larsen; Vernon Vijay Singh Bonarjee; Thor Edvardsen; Kenneth Dickstein
Journal:  Eur Heart J       Date:  2009-06-06       Impact factor: 29.983

  8 in total
  2 in total

Review 1.  Cardiovascular imaging 2014 in the International Journal of Cardiovascular Imaging.

Authors: 
Journal:  Int J Cardiovasc Imaging       Date:  2015-03       Impact factor: 2.357

2.  The Localization and Characterization of Ischemic Scars in relation to the Infarct Related Coronary Artery Assessed by Cardiac Magnetic Resonance and a Novel Automatic Postprocessing Method.

Authors:  Leik Woie; Kjersti Engan; Trygve Eftestøl; Alf Inge Larsen; Stein Ørn
Journal:  Cardiol Res Pract       Date:  2015-10-12       Impact factor: 1.866

  2 in total

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