ESTRO 2024 - Abstract Book

S939

Clinical - CNS

ESTRO 2024

profiles (figure 1B). Future work will explore the ability of the identified features to improve accuracy in predicting tumour response to treatment.

Conclusion:

We demonstrate willingness of patients with BM to participate in a research study with CUBRIC and undergo additional MRI scans. We have also demonstrate feasibility in conducting microstructure MRI scans for the first time in patients with brain tumours. We present quantitative measures of cell size, density and anisotropy and extracellular volume fraction in patients with BM using the VERDICT and SANDI models and demonstrate how these may evolve in a temporal fashion following radiotherapy treatment. We also demonstrate feasibility in integrating and analysing this data with our SPAARC radiomics software(3,4), including a set of 164 imaging features compliant with the Image Biomarker Standardisation Initiative guidelines(5). We propose conducting these measures in a larger cohort of patients with primary brain tumours and that combining microstructure MRI data in this way may provide insights to enable prediction of tumour response to treatment.

Keywords: Brain, Radiotherapy, Microstructure

References:

1. Palombo, M. et al. SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. Neuroimage, 2020. 215: p. 116835.