While PET imaging with radionuclides such as F18 and Ga68 have proven to provide high quality diagnostic imaging, imaging with other radionuclides can be more challenging. Zr-89 is one such radionuclide. Although Zr-89 has advantageous labelling properties for cell imaging and the imaging of monoclonal antibodies, the radionuclide is non-ideal imaging qualities mostly due to […]
The advent of FDA approved anti-AB drugs such as Aducanumab and Lecanemab is changing not only the therapeutic prospectives for patients but also the diagnostic flow-charts. However, due to differences in clinical processes and insurance systems in each country, the use of amyloid PET in the diagnostic tree currently varies from country to country. In Europe, […]
With the arrival of new therapeutic tracers, nuclear medicine has a new arsenal to treat metastatic bone pain. This presentation aims to give the keys to define the place of nuclear medicine among other treatment modalities (external beam therapy, medical treatment, chemotherapy). Learning Objectives: Refresh knowledge on the pathophysiology of pain and present the opportunities […]
Future Health Lab
Alfred-Adler-Straße 1, Vienna, Austria
The course will offer a comprehensive overview of basic, theoretical and practical evidence-based concepts needed for a deep and thoughtful understanding of the use of FDG (FDG) Brain PET, amyloid (Amy) PET and DaT SPECT in Neurological Disorders. A brief introduction will be given on the position that each imaging technique holds in the recent […]
This online course is part of a long line of research methodology which is aimed at providing interested participants with information about the preclinical development and clinical translation, as well as the design, conductance and reporting of clinical research trials, with a specific emphasis on radiopharmaceuticals for both diagnostic and therapeutic applications. These first two […]
Future Health Lab
Alfred-Adler-Straße 1, Vienna, Austria
Artificial intelligence with the development of deep learning has found numerous applications in the medical field over the past few years, including more specifically that of medical imaging. This includes most areas governing the medical imaging process from detector signal processing to image formation and subsequent image processing. The activity of deep learning spans from […]