RadResPROProject reference: 623630
Funded under :
Radiation Response Models for Personalised Radiation Oncology
Total cost:EUR 294 219,6
EU contribution:EUR 294 219,6
Coordinated in:United Kingdom
Topic(s):FP7-PEOPLE-2013-IOF - Marie Curie Action: "International Outgoing Fellowships for Career Development"
Call for proposal:FP7-PEOPLE-2013-IOFSee other projects for this call
Funding scheme:MC-IOF - International Outgoing Fellowships (IOF)
Clinical radiotherapy for cancer has seen dramatic improvements in recent years, driven by developments in imaging and delivery techniques. However, the ability to deliver radiation is now out-stripping radiotherapy planning techniques. Despite the goal of radiotherapy – tumour control – being primarily biological, radiotherapy planning tools focus on a purely physical metric: dose. This has significantly hampered the translation of knowledge gained from laboratory radiobiology to clinical settings. This project will lay the foundation for a unified model of therapeutic in vivo radiation responses by developing a computational model to describe these systems in a bottom-up fashion, integrating not only macroscopic parameters such as tumour size and dose, but also microscopic parameters such as radiation track structure and the cellular micro-environment.
As part of this project, collaboration will be developed between the radiation biology group in the Centre for Cancer Research and Cell Biology, Queen's University Belfast, and Massachusetts General Hospital. The applicant will take advantage of time spent in MGH to gain skills and experience in the delivery of proton therapy, broadening his technical background and placing him in a strong position to contribute to the development of this increasingly important treatment modality upon his return to the EU.
These models will enable a more natural integration of physical and biological parameters into radiation response models, facilitating improved knowledge transfer from laboratory to clinical practice. Through this, they can be used to address outstanding questions in modern radiotherapy, such as identifying the optimum dose distribution and delivery schedule for individual patients, and understanding the differences in biological responses to different types of radiation.
EU contribution: EUR 294 219,6
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