title: Non-invasive coronary angiography with multislice computed tomography. Technology, methods, preliminary experience and prospects.
abstract: The recent technical developments in multislice computed tomography (MSCT), with ECG retro-gated image reconstruction, have elicited great interest in the possibility of accurate non-invasive imaging of the coronary arteries. The latest generation of MSCT systems with 8-16 rows of detectors permits acquisition of the whole cardiac volume during a single 15-20 s breath-hold with a submillimetric definition of the images and an outstanding signal-to-noise ratio. Thus the race which, between MSCT, electron beam computed tomography and cardiac magnetic resonance imaging, can best provide routine and reliable imaging of the coronary arteries in clinical practice has recommenced. Currently available MSCT systems offer different options for both cardiac image acquisition and reconstruction, including multiplanar and curved multiplanar reconstruction, three-dimensional volume rendering, maximum intensity projection, and virtual angioscopy. In our preliminary experience including 176 patients suffering from known or suspected coronary artery disease, MSCT was feasible in 161 (91.5%) and showed a sensitivity of 80.4% and a specificity of 80.3%, with respect to standard coronary angiography, in detecting critical stenosis in coronary arteries and artery or venous bypass grafts. These results correspond to a positive predictive value of 58.6% and a negative predictive value of 92.2%. The true role that MSCT is likely to play in the future in non-invasive coronary imaging is still to be defined. Nevertheless, the huge amount of data obtainable by MSCT along with the rapid technological advances, shorter acquisition times and reconstruction algorithm developments will make the technique stronger, and possible applications are expected not only for non-invasive coronary angiography, but also for cardiac function and myocardial perfusion evaluation, as an all-in-one examination.
authors.affiliation: Division of Cardiology, IRCCS Fondazione S. Maugeri, Pavia, Italy.
authors.forename: Egidio
authors.initials: E
authors.lastname: Traversi
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Bertoli
authors.forename: Giancarlo
authors.initials: G
authors.lastname: Barazzoni
authors.forename: Maurizia
authors.initials: M
authors.lastname: Baldi
authors.forename: Roberto
authors.initials: R
authors.lastname: Tramarin
mesh_terms: D001185:Artificial Intelligence; D017023:Coronary Angiography / Q000379:methods* / Q000639:trends; D003327:Coronary Disease / Q000175:diagnosis; D004562:Electrocardiography; D005060:Europe / Q000453:epidemiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000639:trends; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed / Q000379:methods* / Q000639:trends; D014481:United States / Q000453:epidemiology