A trial fibrillation (AF) is the most prevalent sustained atrial arrhythmia, and its prevalence increases with human age. Atrial fibrillation accounts for ap proximately one third of hospitalizations for cardiac rhythm disturbances. It is also the chief thromboembolic cause of stroke, and it is associated with a 2fold increase in mortality rates and a marked reduction in functional ability and quality of life.1 Despite the use of potent antiarrhythmic medications, AF recurrence after cardioversion remains frequent, leading to the need for catheter ablation (CA) proce dures. Since an exponential increase in CA for AF was documented, left atrial volume (LAV) and LAV index (LAVI) have proved to be powerful predictors of procedural outcomes and indicators of structural remodeling.
2,3Investigators have suggested that functional recovery of the left atrium (LA) might be more important than structural reverse remodeling of the LA after CA for AF be cause longterm anticoagulation is necessary in patients with contractile dysfunction of the LA, despite a maintained sinus rhythm. 4 Furthermore, investigators have shown that evaluating LA pump function combined with LAV enables a more accurate diag nosis of paroxysmal AF (PAF) than do conventional values. 5,6 However, data are sparse concerning the role of functional LA remodeling in predicting procedural outcomes.Identifying the arrhythmic substrates and evaluating the structural and functional changes in the atria by means of noninvasive methods can be useful in selecting patients for rhythmcontrol therapy, including CA, early in the disease process.7 Mul tislice computed tomography (MSCT) is an accurate method for evaluating LAV, with low interobserver variability. In this study, we used MSCT to quantify LA pump function and structural changes before CA. The aim of this work was to determine whether evaluating LA pump function with the use of MSCT is useful for predicting AF recurrence after CA. This approach would aid in selecting the most appropriate ablation approach for individual AFablation candidates. In addition, this approach would help to predict AF recurrence before the initiation of rhythmcontrol therapies in patients.