Detail

Keywords

Magnetic Resonance Imaging; Multimodal Imaging; Positron-Emission Tomography

Research group(s)

• Preclinical Imaging Lab
  Members:
  Daniela Laimer-Gruber
  Lena Zachhuber
  Claudia Kuntner-Hannes
  Silvester Bartsch

Research interests

My current research aims at the detection of novel imaging biomarkers for the identification of molecular breast cancer subtypes using hybrid PET/MR imaging. To this end, I combine [18F]-FDG and [18F]-FMISO PET with multiparametric MRI (diffusion-weighted MRI, blood oxygen level dependent MRI, glucose-enhanced CEST-MRI, dynamic contrast enhanced MRI). In my PhD-project, I will characterize the hypoxia-induced reprogramming of glucose metabolism, as well as the induction of angiogenesis, which are important hallmarks in breast cancer progression.

Techniques, methods & infrastructure

High-field MRI, hybrid PET/MRI, µCT

Selected publications

1. Bartsch, S.J. et al. (2024) ‘Non-Contrast-Enhanced Multiparametric MRI of the Hypoxic Tumor Microenvironment Allows Molecular Subtyping of Breast Cancer: A Pilot Study’, Cancers, 16(2), p. 375. Available at: https://doi.org/10.3390/cancers16020375.
2. Bartsch, S.J. et al. (2023) ‘Hyperoxic BOLD-MRI-Based Characterization of Breast Cancer Molecular Subtypes Is Independent of the Supplied Amount of Oxygen: A Preclinical Study’, Diagnostics, 13(18), p. 2946. Available at: https://doi.org/10.3390/diagnostics13182946.
3. Mitteroecker, P. et al. (2020) ‘Morphometric Variation at Different Spatial Scales: Coordination and Compensation in the Emergence of Organismal Form’, Systematic Biology. Edited by B. Carstens, 69(5), pp. 913–926. Available at: https://doi.org/10.1093/sysbio/syaa007.
4. Grunstra, N.D.S. et al. (2020) ‘Detecting Phylogenetic Signal and Adaptation in Papionin Cranial Shape by Decomposing Variation at Different Spatial Scales’, Systematic Biology. Edited by J. Esselstyn, 70(4), pp. 694–706. Available at: https://doi.org/10.1093/sysbio/syaa093.