Speaker
Description
RACOON-AI Brain Tumor is a nationwide, multi-site NUM 3.0 initiative uniting neuro-oncology experts to advance imaging-based diagnosis, treatment planning, and monitoring of brain tumors. It addresses the gap between molecular tumor classification and current imaging. The 2021 WHO classification emphasizes molecular features not captured by conventional MRI, while standard imaging often cannot distinguish treatment effects from tumor progression. The project combines advanced MRI with deep learning, using a quantitative multi-parametric protocol that provides standardized, reproducible tissue measurements independent of scanner variability. A vendor-agnostic protocol enables rapid acquisition of key maps within eight minutes. By integrating quantitative imaging with AI, the study aims to improve tumor characterization, outcome prediction, and differentiation of progression versus therapy effects across more than 600 patients.