Background and Significance The application of heavy ion beams in cancer therapy must
account for the increasing relative biological effectiveness (RBE) with increasing penetration …

Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Treatment planning tools that use biologically related models for plan optimization and/or
evaluation are being introduced for clinical use. A variety of dose‐response models and …

Purpose To demonstrate a method of generating patient-specific, biologically-guided
radiotherapy dose plans and compare them to the standard-of-care protocol. Methods and …

A new inverse treatment planning system (TPS) for external beam radiation therapy with
high energy photons is commercially available that utilizes both dose‐volume‐based cost …

Life expectancy of patients treated for brain tumors has lengthened due to the therapeutic
improvements. Cognitive impairment has been described following brain radiotherapy, but …

Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …

A multiscale tumour simulation model employing cell-line-specific biological parameters and
functional information derived from pre-therapy PET/CT imaging data was developed to …

Voxel-based prescriptions of deliberately non-uniform dose distributions based on
molecular imaging, so-called dose painting or theragnostic radiation therapy, require …

The purpose of this study was to increase the potential of dose redistribution by
incorporating estimates of oxygen heterogeneity within imaging voxels for optimal dose …