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RADRESPRO

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Radiation Response Models for Personalised Radiation Oncology

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 techn... ver más

31/05/2017

THE QUEEN'S UNIVER...

294K€

Presupuesto del proyecto: 294K€

Líder del proyecto

THE QUEENS UNIVERSITY OF BELFAST No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2017-05-31 No tenemos la información de la convocatoria

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1 Participantes

THE QUEEN'S UNIVERSITY OF BE...

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Líder del proyecto

THE QUEENS UNIVERSITY OF BELFAST No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 294K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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