Three-dimensional computed tomography imaging of left atrial anatomy for atrial fibrillation ablation

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Computed Tomography Imaging in Atrial Fibrillation Ablation.

Atrial fibrillation (AF) is the most common supraventricular arrhythmia in adults and catheter ablation has increasingly become the therapy of choice for symptomatic, recurrent, drug refractory AF. The purpose of this review is to evaluate the utility of computed tomography (CT) imaging in guiding radiofrequency catheter ablation (RFCA), as well as highlight the additional radiographic and func...

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Left Atrial Anatomy in Patients Undergoing Ablation for Atrial Fibrillation.

Background: Left atrial anatomy is highly variable, asymmetric, irregular and three-dimensionally unique. This variability can affect the outcome of atrial ablation. A catalog of anatomic varieties may aid patient selection and ablation approach and provide better tools for left atrial ablation. Methods: We analyzed computed tomography scans from 514 patients undergoing left atrial ablation. Im...

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Atrial fibrillation ablation guided by computed tomography.

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Utility of nongated multidetector computed tomography for detection of left atrial thrombus in patients undergoing catheter ablation of atrial fibrillation.

OBJECTIVES The aim of this study was to determine whether multidetector computed tomography (MDCT) is able to exclude left atrial appendage (LAA) thrombus in patients referred for catheter ablation of atrial fibrillation (CAAF). BACKGROUND MDCT is commonly used to render pulmonary vein and left atrial anatomy before CAAF. Transesophageal echocardiography (TEE) is also often performed before t...

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Left atrium segmentation for atrial fibrillation ablation

Segmentation of the left atrium is vital for pre-operative assessment of its anatomy in radio-frequency catheter ablation (RFCA) surgery. RFCA is commonly used for treating atrial fibrillation. In this paper we present an semi-automatic approach for segmenting the left atrium and the pulmonary veins from MR angiography (MRA) data sets. We also present an automatic approach for further subdividi...

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ژورنال

عنوان ژورنال: Clinical Cardiology

سال: 2005

ISSN: 0160-9289,1932-8737

DOI: 10.1002/clc.4960280211