- Christian Doppler Laboratory for Applied Metabolomics
Research Area: We investigate ways to better characterize tumors using non-invasive imaging techniques. This is important because tumours are constantly changing through mutations. In this way, an individual therapy should be possible and its success should be continuously monitored.
My research is primarily focused on understanding the connection between (epi)genetic tumor subtypes and their destinct functional imaging phenotypes by contextualizing information gained from liquid biopsies and PET/CT. The aim is to elucidate the methodologic strengths and limitations of single and combined use of these methods in assessing tumor biology, predicting therapy responses and outcomes.
Techniques, methods & infrastructure
positron emission tomography/computed tomography (PET/CT), liquid biopsies, radiomics, machine learning
- Zhao, M. et al. (2022) ‘Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma’, European Radiology, 32(10), pp. 7056–7067. Available at: http://dx.doi.org/10.1007/s00330-022-08999-7.
- Gutschmayer, S. et al. (2022) ‘A scale space theory based motion correction approach for dynamic PET brain imaging studies’, Frontiers in Physics, 10. Available at: http://dx.doi.org/10.3389/fphy.2022.1034783.