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 …

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 …

Purpose: In radiotherapy, it is important to predict the response of tumors to irradiation prior
to the treatment. This is especially important for hypoxic tumors, which are known to be …

Oxygen levels in cancerous tissue can have a significant effect on treatment response:
hypoxic tissue is both more radioresistant and more chemoresistant than well-oxygenated …

Optimization of treatment plans in radiotherapy requires the knowledge of tumour control
probability (TCP) and normal tissue complication probability (NTCP). Mathematical models …

Advanced bio-simulation methods are expected to substantially improve radiotherapy
treatment planning. To this end a novel spatio-temporal patient-specific simulation model of …

Introduction. Tumour hypoxia is an important factor that confers radioresistance to the
affected cells and could thus decrease the tumour response to radiotherapy. The …

Purpose Tumor oxygenation is one of the key features influencing the response of cells to
radiation and chemo therapies. This study presents a novel in silico tumor model simulating …

Purpose: Biologically based treatment optimisation can be based on the local mean values
of the number of clonogenic cells and the cellular radiation response taken over …

A tumour control probability computational model for fractionated radiotherapy was
developed, with the goal of incorporating the fundamental interplay between hypoxia and …