Detection and Quantification of Left Atrial Structural Remodeling Using Delayed Enhancement MRI in Patients with Atrial Fibrillation

By R. Oakes, Troy J. Badger, E. Kholmovski, N. Akoum, N. Burgon, E. Fish, Joshua J. E. Blauer, Swati N. Rao, E. DiBella, N. Segerson and 6 more. Circulation, 2009

993 citations recorded by the source corpus.

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.

Subfields: Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/1af993e1e93abb72b98be08710ba3016891cd30d

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In Cardiology and Cardiovascular Medicine

  1. M. Ezekowitz
  2. Daniel Rueckert
  3. Stanley Nattel
  4. Xiahai Zhuang
  5. Gerhard Hindricks

In Radiology, Nuclear Medicine and Imaging

  1. Daniel Rueckert
  2. P. Heng
  3. Andreas K. Maier
  4. Oscar Camara
  5. Wenjia Bai
  6. Xiahai Zhuang
  7. Xin Yang
  8. Arvid Lundervold

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