Dose Volume Histogram

Dose-volume histograms (DVHs) are graphical representations of radiation dose distribution in radiotherapy, crucial for treatment planning and evaluation by visualizing the percentage of an organ receiving a given dose. Current research focuses on automating DVH prediction using deep learning, particularly employing graph neural networks (GNNs) and transformer-based architectures like Swin UNETR++, to improve accuracy and efficiency compared to traditional methods. These advancements aim to accelerate and optimize radiotherapy treatment planning, potentially leading to more precise and personalized cancer treatments while minimizing side effects.