Unlocking the Secrets of Glioblastoma: How Radiomic Profiling Can Revolutionize Treatment
Authors: Nicoleta Baxan, Richard Perryman, Maria V. Chatziathanasiadou and Nelofer Syed
Simple Summary: Glioblastoma (GB) is a highly aggressive brain cancer, often leading to rapid deterioration and death. Traditional imaging, such as MRI, is crucial in diagnosing and tracking GB, especially after radiotherapy. However, radiomics takes this a step further by using advanced algorithms to extract detailed, quantitative information from medical images that go beyond the human eye’s capability. This study introduces a radiomic framework using MRI diffusion and perfusion metrics to model how GB responds to ionising radiation in various orthotopic mouse models. The results offer promising insights into radiation treatment responses, helping assess the relevance of these mouse models in mimicking human GB. This research could accelerate the development of new therapies, refine pre-clinical evaluations, and even serve as a non-invasive biopsy alternative, potentially transforming GB treatment approaches.