Coronary CTA Interpretation Workshop, November 21–22, 2019
Katrin Seidel | 2019-09-11
Courtesy of University of Erlangen, Erlangen, Germany
Course design and objectives
The focus of the course is to provide participants with hands-on experience in the interpretation of coronary CT angiography data sets. During the 2 days, participants will have the opportunity to use image interpretation workstations and evaluate 50 original coronary CT angiography scans, towards Level II certification, ranging from easy, introductory cases to more advanced cases with difficult diagnoses and typical pitfalls. Invasive coronary angiography correlation will be available for every CT angiography case. Two participants will jointly work on one workstation and the faculty will be available to provide help and guidance.
University of Erlangen-Nuremberg
The University Hospital in Erlangen-Nuremberg, with its 33 departments and institutes, covers the entire spectrum of modern medicine. These facilities are complemented by a series of clinical theory institutes. International cooperations at a scientific and industrial level ensure that both diagnostics and therapy as well as research and teaching are up-to-date. The Department of Internal Medicine II covers the complete spectrum in the fields of cardiology and angiography in terms of medical care, research, and teaching. Specifically in the field of cardiac CT, the department cooperates closely with the Institute of Medical Physics and the Institute for Diagnostic Radiology. The department has state-of-the-art medical imaging equipment and provides a comprehensive range of diagnostic examinations and therapeutic interventions in the field of cardiology and angiography. With innovative technology, especially concerning cardiac imaging, non-invasive visualization of the coronary vessels, and interventional catheter-based therapy, the clinic assumes a leading role in this specialized area.
Uttalelser fra Siemens' kunder beskrevet her er kunder baserer seg på resultater som ble oppnådd i de respektive spesifikke omgivelsene hos kunden'. Siden det ikke finnes et "typisk" sykehus og resultatene er avhengige av forskjellige variabler (som for eksempel størrelsen på sykehuset, behandlingssammensetning, graden av IT integrering) kan det ikke garanteres at andre kunder vil oppnå samme resultater.