title: Computed tomography assessment of thoracic aortic pathology.
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.
authors.affiliation: Department of Endovascular Research, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
authors.forename: Roy K
authors.initials: RK
authors.lastname: Greenberg
authors.forename: Jessica L
authors.initials: JL
authors.lastname: Secor
authors.forename: Tracy
authors.initials: T
authors.lastname: Painter
mesh_terms: D001013:Aorta, Thoracic / Q000000981:diagnostic imaging; D001018:Aortic Diseases / Q000000981:diagnostic imaging*; D006801:Humans; D014057:Tomography, X-Ray Computed / Q000379:methods*