Accel-RT
Lead Research Organisation:
University of Cambridge
Department Name: Physics
Abstract
The challenge of delivering high precision radiotherapy Radiotherapy is an essential aspect of cancer treatment, making a greater contribution to overall survival than chemotherapy. 40% of those cured of cancer have had radiotherapy, and research suggests that 50% of those suffering could benefit. The number of patients receiving radiotherapy in the UK has tripled in the last decade. To try and meet increased demands, the NHS Cancer Reform Strategy has led to increased provision of modern high precision radiotherapy hardware throughout the UK, but manpower difficulties and a lack of appropriate software tools and computing power means that the newest high-precision techniques remain under-utilised. This project will build upon STFC-funded research to deliver a high performance, service based computing solution, ready for use with existing treatment platforms, and validate this solution in partnership with a leading technology supplier.
Publications
Brochu F
(2018)
Reduction in Total Radiation Exposure Using X-ray Image Guidance Illustrated in a Patient Receiving Pituitary Radiotherapy.
in Clinical oncology (Royal College of Radiologists (Great Britain))
Burnet NG
(2017)
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.
in CERN ideaSquare journal of experimental innovation
Drew A
(2017)
Using computing models from particle physics to investigate dose-toxicity correlations in cancer radiotherapy
in Journal of Physics: Conference Series
Noble D
(2018)
PO-0961: Anatomical predictors of differences between planned and delivered dose to Head and neck OARs
in Radiotherapy and Oncology
Romanchikova M
(2018)
Automated customized retrieval of radiotherapy data for clinical trials, audit and research.
in The British journal of radiology
Shelley L
(2019)
Autosegmentation of the rectum on megavoltage image guidance scans.
Shelley LEA
(2019)
Autosegmentation of the rectum on megavoltage image guidance scans.
in Biomedical physics & engineering express
| Description | New system for processing radiotherapy workflows. |
| Exploitation Route | Some of the software is now deployed in radiotherapy systems worldwide. |
| Sectors | Healthcare |
| Description | Used to improve radiotherapy workflows at Addenbrookes hospital |
| First Year Of Impact | 2015 |
| Sector | Healthcare |
| Impact Types | Societal Economic |
| Description | Clinical and Translational Research Committee Programme award |
| Amount | £1,226,417 (GBP) |
| Funding ID | C8857/A13405 |
| Organisation | Cancer Research UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2012 |
| End | 02/2017 |
| Description | Computational radiotherapy |
| Organisation | Addenbrooke's Hospital |
| Department | Department of Oncology |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We have set up a series of projects on computational radiotherapy. We provide expertise on image analysis, beam transport, radiation deposition, distributed computing. |
| Collaborator Contribution | Our partners are clinicians delivering radiotherapy to patients. They supply the clinical expertise. The engineers provide finite element analysis and deformation studies of the tissues. |
| Impact | Multidiscplinary team involving clinical radiotherapists, computer scientists, engineers and particle physicists. |
| Start Year | 2011 |
| Description | Computational radiotherapy |
| Organisation | University of Cambridge |
| Department | Department of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have set up a series of projects on computational radiotherapy. We provide expertise on image analysis, beam transport, radiation deposition, distributed computing. |
| Collaborator Contribution | Our partners are clinicians delivering radiotherapy to patients. They supply the clinical expertise. The engineers provide finite element analysis and deformation studies of the tissues. |
| Impact | Multidiscplinary team involving clinical radiotherapists, computer scientists, engineers and particle physicists. |
| Start Year | 2011 |
| Description | Physics at Work (Cavendish Lab) 2005-2013 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Type Of Presentation | Workshop Facilitator |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Annual departmental exhibition for GCSE students to showcase physics as a career in industry or research. 2000 pupils over 3 days. N/A |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013 |
| URL | http://www-outreach.phy.cam.ac.uk/physics_at_work/ |