(Vienna, 08 May 2017) The Rudolf Höfer Prize for the best publication relating to the "Use of radioactive isotopes in clinical practice and research in Austria" was awarded for the third time in the Vienna Medical Association's Billrothhaus. The best three of the publications submitted were presented under the honorary chairmanship of Rudolf Höfer, the founder and pioneer of nuclear medicine in Austria. First and second places went to MedUni Vienna researchers, namely Ivo Rausch und Markus Zeilinger/Cécile Philippe.
Ivo Rausch presented his publication entitled "Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation". On behalf of Mrs Cécile Philippe, who could unfortunately not be present for the award, Markus Zeilinger presented their publication on the subject of "[(18)F]FE@SNAP-a specific PET tracer for melanin-concentrating hormone receptor 1 imaging?". Third place went to Lorenza Scarpa of the Medical University of Innsbruck for her work entitled "The 68Ga/177Lu theragnostic concept in PSMA targeting of castration-resistant prostate cancer: correlation of SUVmax values and absorbed dose estimates".
Ivo Rausch, PhD Student and member of Thomas Beyer's working group at the Center for Medical Physics and Biomedical Engineering, took first place with his paper focusing on PET/MR imaging. PET imaging is a very sensitive method for the quantitative description of metabolic processes in humans. Today, in combination with CT or MRI, it is an important technique in cancer diagnostics. The publication "Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation" is concerned with the reproducibility of the routinely used MR-based attenuation correction in the context of PET/MR imaging, which is an essential step in calculating quantitative parameters from the PET data. Furthermore, a simple method was developed for calculating a patient's lean body mass from the attenuation data. This can be used to minimise the influence of differences in patients' individual body composition upon clinical quantification of metabolic processes.