Cluster-based prognostication in glioblastoma: Unveiling heterogeneity based on diffusion and perfusion similarities.
Martha Foltyn-DumitruTobias KesslerFelix SahmWolfgang WickSabine HeilandMartin BendszusPhilipp VollmuthMarianne SchellPublished in: Neuro-oncology (2024)
Our research demonstrates that data-driven clustering can identify clinically relevant, distinct imaging phenotypes, highlighting the potential role of diffusion, and perfusion MRI in predicting survival rates of glioblastoma patients.