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• W2063351036 abstract "Background Multidetector computed tomography (MDCT) is emerging as a powerful noninvasive diagnostic tool. The appropriate role of this technique in the preoperative evaluation of cardiovascular disease has yet to be fully defined. Atrial fibrillation is the most common sustained cardiac arrhythmia, and novel minimally invasive surgical techniques have been developed to treat this condition by electrically isolating the pulmonary veins. The ideal methodology to preoperatively evaluate these patients remains debatable. We hypothesized that 64-slice CT could significantly affect perioperative planning. Methods Thirty-six consecutive patients who consented to undergo minimally invasive pulmonary vein isolation at our institution underwent a preoperative 64-slice cardiac CT scan. All cardiac and noncardiac abnormalities were recorded, and modifications to the initial surgical plan were documented. Results The mean patient age was 64.4 ± 11.9 years [26 men (72.2%), 17 with known coronary artery disease (47.2%)]. Preoperative CT scanning detected 12 patients with abnormal pulmonary venous anatomy (33.3%), 3 with left atrial thrombus (8.3%), and 17 with significant coronary artery disease (47.2%). Furthermore, 20 studies (55.6%) detected pulmonary abnormalities (including 11 nodules). Preoperative scanning significantly altered surgical planning in 10 cases (27.8%). Alterations in patient treatment included preoperative invasive angiography, conversion of the mini-maze to an open chest procedure, alteration of surgical approach, and postponement/cancellation. Conclusions Sixty-four-slice CT scanning is a safe, rapid, and accurate procedure with important ramifications for surgical planning. This methodology could become an alternative approach to screen preoperative cardiac surgical patients." @default.
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• W2063351036 date "2007-07-01" @default.
• W2063351036 modified "2023-09-27" @default.
• W2063351036 title "Impact of Preoperative 64-Slice CT Scanning on Mini-Maze Atrial Fibrillation Surgery" @default.
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• W2063351036 doi "https://doi.org/10.1097/imi.0b013e3181581f62" @default.
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