Literature DB >> 19307477

Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation.

Robert S Oakes1, Troy J Badger, Eugene G Kholmovski, Nazem Akoum, Nathan S Burgon, Eric N Fish, Joshua J E Blauer, Swati N Rao, Edward V R DiBella, Nathan M Segerson, Marcos Daccarett, Jessiciah Windfelder, Christopher J McGann, Dennis Parker, Rob S MacLeod, Nassir F Marrouche.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is associated with diffuse left atrial fibrosis and a reduction in endocardial voltage. These changes are indicators of AF severity and appear to be predictors of treatment outcome. In this study, we report the utility of delayed-enhancement magnetic resonance imaging (DE-MRI) in detecting abnormal atrial tissue before radiofrequency ablation and in predicting procedural outcome. METHODS AND
RESULTS: Eighty-one patients presenting for pulmonary vein antrum isolation for treatment of AF underwent 3-dimensional DE-MRI of the left atrium before the ablation. Six healthy volunteers also were scanned. DE-MRI images were manually segmented to isolate the left atrium, and custom software was implemented to quantify the spatial extent of delayed enhancement, which was then compared with the regions of low voltage from electroanatomic maps from the pulmonary vein antrum isolation procedure. Patients were assessed for AF recurrence at least 6 months after pulmonary vein antrum isolation, with an average follow-up of 9.6+/-3.7 months (range, 6 to 19 months). On the basis of the extent of preablation enhancement, 43 patients were classified as having minimal enhancement (average enhancement, 8.0+/-4.2%), 30 as having moderate enhancement (21.3+/-5.8%), and 8 as having extensive enhancement (50.1+/-15.4%). The rate of AF recurrence was 6 patients (14.0%) with minimal enhancement, 13 (43.3%) with moderate enhancement, and 6 (75%) with extensive enhancement (P<0.001).
CONCLUSIONS: DE-MRI provides a noninvasive means of assessing left atrial myocardial tissue in patients suffering from AF and might provide insight into the progress of the disease. Preablation DE-MRI holds promise for predicting responders to AF ablation and may provide a metric of overall disease progression.

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Year:  2009        PMID: 19307477      PMCID: PMC2725019          DOI: 10.1161/CIRCULATIONAHA.108.811877

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  35 in total

1.  Promotion of atrial fibrillation by heart failure in dogs: atrial remodeling of a different sort.

Authors:  D Li; S Fareh; T K Leung; S Nattel
Journal:  Circulation       Date:  1999-07-06       Impact factor: 29.690

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Review 4.  Microfibrosis produces electrical load variations due to loss of side-to-side cell connections: a major mechanism of structural heart disease arrhythmias.

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Journal:  Pacing Clin Electrophysiol       Date:  1997-02       Impact factor: 1.976

5.  Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins.

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Journal:  N Engl J Med       Date:  1998-09-03       Impact factor: 91.245

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Journal:  N Engl J Med       Date:  1987-09-10       Impact factor: 91.245

7.  Increased vulnerability to atrial fibrillation in transgenic mice with selective atrial fibrosis caused by overexpression of TGF-beta1.

Authors:  Sander Verheule; Toshiaki Sato; Thomas Everett; Steven K Engle; Dan Otten; Michael Rubart-von der Lohe; Hisako O Nakajima; Hidehiro Nakajima; Loren J Field; Jeffrey E Olgin
Journal:  Circ Res       Date:  2004-04-29       Impact factor: 17.367

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Journal:  Pacing Clin Electrophysiol       Date:  1988-05       Impact factor: 1.976

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Journal:  Circulation       Date:  1995-10-01       Impact factor: 29.690

10.  Chronic rapid atrial pacing. Structural, functional, and electrophysiological characteristics of a new model of sustained atrial fibrillation.

Authors:  C A Morillo; G J Klein; D L Jones; C M Guiraudon
Journal:  Circulation       Date:  1995-03-01       Impact factor: 29.690

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  301 in total

1.  Evaluation of quantification methods for left arial late gadolinium enhancement based on different references in patients with atrial fibrillation.

Authors:  Sung Ho Hwang; Yu-Whan Oh; Dae In Lee; Jaemin Shim; Sang-Weon Park; Young-Hoon Kim
Journal:  Int J Cardiovasc Imaging       Date:  2014-11-04       Impact factor: 2.357

Review 2.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

3.  Atrial conduction slows immediately before the onset of human atrial fibrillation: a bi-atrial contact mapping study of transitions to atrial fibrillation.

Authors:  Gautam G Lalani; Amir Schricker; Michael Gibson; Armand Rostamian; David E Krummen; Sanjiv M Narayan
Journal:  J Am Coll Cardiol       Date:  2012-02-07       Impact factor: 24.094

4.  Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration.

Authors:  Martin Koch; Alexander Brost; Felix Bourier; Joachim Hornegger; Norbert Strobel
Journal:  J Med Imaging (Bellingham)       Date:  2014-05-22

5.  Targeted ablation at stable atrial fibrillation sources improves success over conventional ablation in high-risk patients: a substudy of the CONFIRM Trial.

Authors:  Tina Baykaner; Paul Clopton; Gautam G Lalani; Amir A Schricker; David E Krummen; Sanjiv M Narayan
Journal:  Can J Cardiol       Date:  2013-08-30       Impact factor: 5.223

6.  Evaluation of left atrial lesions after initial and repeat atrial fibrillation ablation: lessons learned from delayed-enhancement MRI in repeat ablation procedures.

Authors:  Troy J Badger; Marcos Daccarett; Nazem W Akoum; Yaw A Adjei-Poku; Nathan S Burgon; Thomas S Haslam; Saul Kalvaitis; Suman Kuppahally; Gaston Vergara; Lori McMullen; Paul A Anderson; Eugene Kholmovski; Rob S MacLeod; Nassir F Marrouche
Journal:  Circ Arrhythm Electrophysiol       Date:  2010-03-24

7.  Magnetic resonance image intensity ratio, a normalized measure to enable interpatient comparability of left atrial fibrosis.

Authors:  Irfan M Khurram; Roy Beinart; Vadim Zipunnikov; Jane Dewire; Hirad Yarmohammadi; Takeshi Sasaki; David D Spragg; Joseph E Marine; Ronald D Berger; Henry R Halperin; Hugh Calkins; Stefan L Zimmerman; Saman Nazarian
Journal:  Heart Rhythm       Date:  2013-10-03       Impact factor: 6.343

8.  Is Otsu thresholding the answer to reproducible quantification of left atrial scar from late gadolinium-enhancement MRI?

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Journal:  J Cardiovasc Electrophysiol       Date:  2020-09-21

9.  A robust computational framework for estimating 3D Bi-Atrial chamber wall thickness.

Authors:  Yufeng Wang; Zhaohan Xiong; Aaqel Nalar; Brian J Hansen; Sanjay Kharche; Gunnar Seemann; Axel Loewe; Vadim V Fedorov; Jichao Zhao
Journal:  Comput Biol Med       Date:  2019-09-12       Impact factor: 4.589

10.  Strategies for Risk Analysis and Disease Classification in Atrial Fibrillation.

Authors:  Sara Adelman; Georges Daoud; Peter J Mohler
Journal:  J Cardiovasc Electrophysiol       Date:  2016-09-20
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