Eduardo G. Moros

TL;DR: The impact of slice thickness and pixel spacing on radiomics features extracted from Computed Tomography (CT) phantom images acquired with different scanners as well as different acquisition and reconstruction parameters was investigated.

TL;DR: A GARD-based clinical model could allow the individualisation of radiotherapy dose to tumour radiosensitivity and could provide a framework to design genomically-guided clinical trials in radiation oncology.

TL;DR: A crucial step in identifying a viable ultrasonic approach to temperature estimation is its performance during in vivo tests, as models and measurements of the change in backscattered energy suggest that, over the clinical hyperthermia temperature range, changes in backScattered energy are dependent on the properties of individual scatterers or scattering regions.

TL;DR: This Roadmap differentiates Mathematical Oncology from related fields and demonstrates specific areas of focus within this unique field of research, with the dominant theme of the personalization of medicine through mathematics, modelling, and simulation.

TL;DR: A new treatment shift is proposed that moves away from an era of empirical dosing and fractionation to an era focused on the development of evidence to guide personalisation and biological adaptation of radiotherapy.