Radiomics in breast cancer

Using diffusion-weighted imaging (DWI) and dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) it is possible to assess parameters such as cellular density, blood flow, and growth patterns of tumors. In this project we are using MRI in combination with 'omics data to create "portraits" of tumors that can help predict treatment response. This project is part of the PerCaThe convergence environment funded by UiO Life Science. These data has already been used as part of a pharmacokinetic and pharmacodynamic N-of-1 in silico model showing proof-of-concept that we can predict and improve treatment response (Lai et al. 2019)

 

Participants:

Torgeir Mo, Thomas Fleischer, Vessela N. Kristensen, Therese Seierstad

 
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