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Computed tomography assessment of thoracic aortic pathology.

作者信息

Greenberg Roy K, Secor Jessica L, Painter Tracy

机构信息

Department of Endovascular Research, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.

出版信息

Semin Vasc Surg. 2004 Jun;17(2):166-72. doi: 10.1053/j.semvascsurg.2004.03.005.

Abstract

Computed tomography technology has improved dramatically in the past decade and now constitutes the backbone of preoperative evaluation for aortic disease. Image acquisition is accomplished with multi-row detectors, and coupled with new reconstruction algorithms provide clinicians with high-resolution images that can be visualized in synch with the cardiac cycle, or as complex three-dimensional renditions of in vivo anatomy. Knowledge regarding the means of data acquisition, reconstruction algorithms, and modes of interpretation are critical for the optimal assessment of aortic disease. These issues are increasingly important as endovascular therapy becomes more commonplace for the treatment of thoracic aortic lesions.

摘要

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