Diffuse Glioma

Diffuse gliomas are aggressive brain tumors posing significant diagnostic and therapeutic challenges. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs), vision transformers (ViTs), and graph neural networks (GNNs) to improve glioma classification, segmentation from MRI scans (including generating synthetic ADC maps from readily available sequences), and even genotype prediction (e.g., IDH mutation status) from multimodal imaging data and histopathology. These advancements aim to improve diagnostic accuracy, personalize treatment strategies, and potentially mitigate disparities in care, particularly in resource-limited settings. The ultimate goal is to enhance patient outcomes through more precise and efficient diagnosis and treatment planning.