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Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.

Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.
The VoxTox research programme has applied expertise from the physical sciences to the problem of radiotherapy toxicity, bringing together expertise from engineering, mathematics, high energy physics (including the Large Hadron Collider), medical physics and radiation oncology. In our initial cohort of 109 men treated with curative radiotherapy for prostate cancer, daily image guidance computed tomography (CT) scans have been used to calculate delivered dose to the rectum, as distinct from planned dose, using an automated approach. Clinical toxicity data have been collected, allowing us to address the hypothesis that delivered dose provides a better predictor of toxicity than planned dose.
Cancer, Computed tomography, Large Hadron Collider, Medical physics, Medicine, Multidisciplinary approach, Physical science, Planned Dose, Radiation therapy
2413-9505
3-12
Burnet, Neil G.
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Scaife, Jessica E.
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Romanchikova, Marina
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Thomas, Simon J.
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Bates, Amy
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Wong, Emma
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Noble, David J.
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Shelley, Leila
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Bond, Simon
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Forman, Julia
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Hoole, Andrew
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Barnett, Gillian
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Brochu, Frederic
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Simmons, Michael
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Jena, Raj
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Harrison, Karl
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Drew, Amelia
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Silvester, Emma
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Elwood, Patrick
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Pullen, Hannah
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Sultana, Andrew
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Seah, Shannon
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Wilson, Megan
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Russell, Simon
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Benson, Richard
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Rimmer, Yvonne
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Jefferies, Sarah
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Taku, Nicolette
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Gurnell, Mark
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Powlson, Andrew
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Schönlieb, Carola-Bibiane
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Cai, Xiaohao
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Sutcliffe, Michael
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Parker, Michael
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Burnet, Neil G.
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Scaife, Jessica E.
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Romanchikova, Marina
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Thomas, Simon J.
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Bates, Amy
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Wong, Emma
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Noble, David J.
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Shelley, Leila
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Bond, Simon
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Forman, Julia
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Hoole, Andrew
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Barnett, Gillian
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Brochu, Frederic
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Simmons, Michael
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Jena, Raj
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Harrison, Karl
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Yeap, Ping Lin
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Drew, Amelia
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Silvester, Emma
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Elwood, Patrick
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Pullen, Hannah
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Sultana, Andrew
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Seah, Shannon
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Wilson, Megan
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Russell, Simon
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Benson, Richard
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Rimmer, Yvonne
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Jefferies, Sarah
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Taku, Nicolette
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Gurnell, Mark
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Powlson, Andrew
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Schönlieb, Carola-Bibiane
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Cai, Xiaohao
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Sutcliffe, Michael
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Parker, Michael
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Burnet, Neil G., Scaife, Jessica E., Romanchikova, Marina, Thomas, Simon J., Bates, Amy, Wong, Emma, Noble, David J., Shelley, Leila, Bond, Simon, Forman, Julia, Hoole, Andrew, Barnett, Gillian, Brochu, Frederic, Simmons, Michael, Jena, Raj, Harrison, Karl, Yeap, Ping Lin, Drew, Amelia, Silvester, Emma, Elwood, Patrick, Pullen, Hannah, Sultana, Andrew, Seah, Shannon, Wilson, Megan, Russell, Simon, Benson, Richard, Rimmer, Yvonne, Jefferies, Sarah, Taku, Nicolette, Gurnell, Mark, Powlson, Andrew, Schönlieb, Carola-Bibiane, Cai, Xiaohao, Sutcliffe, Michael and Parker, Michael (2017) Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme. CERN IdeaSquare Journal of Experimental Innovation, 1 (1), 3-12. (doi:10.23726/cij.2017.457).

Record type: Article

Abstract

The VoxTox research programme has applied expertise from the physical sciences to the problem of radiotherapy toxicity, bringing together expertise from engineering, mathematics, high energy physics (including the Large Hadron Collider), medical physics and radiation oncology. In our initial cohort of 109 men treated with curative radiotherapy for prostate cancer, daily image guidance computed tomography (CT) scans have been used to calculate delivered dose to the rectum, as distinct from planned dose, using an automated approach. Clinical toxicity data have been collected, allowing us to address the hypothesis that delivered dose provides a better predictor of toxicity than planned dose.

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Published date: 2017
Keywords: Cancer, Computed tomography, Large Hadron Collider, Medical physics, Medicine, Multidisciplinary approach, Physical science, Planned Dose, Radiation therapy

Identifiers

Local EPrints ID: 438766
URI: http://eprints.soton.ac.uk/id/eprint/438766
ISSN: 2413-9505
PURE UUID: 1d8e6f42-fb10-4262-9cd6-25dc744c93cf

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Date deposited: 24 Mar 2020 17:30
Last modified: 13 Jul 2020 16:39

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Contributors

Author: Neil G. Burnet
Author: Jessica E. Scaife
Author: Marina Romanchikova
Author: Simon J. Thomas
Author: Amy Bates
Author: Emma Wong
Author: David J. Noble
Author: Leila Shelley
Author: Simon Bond
Author: Julia Forman
Author: Andrew Hoole
Author: Gillian Barnett
Author: Frederic Brochu
Author: Michael Simmons
Author: Raj Jena
Author: Karl Harrison
Author: Ping Lin Yeap
Author: Amelia Drew
Author: Emma Silvester
Author: Patrick Elwood
Author: Hannah Pullen
Author: Andrew Sultana
Author: Shannon Seah
Author: Megan Wilson
Author: Simon Russell
Author: Richard Benson
Author: Yvonne Rimmer
Author: Sarah Jefferies
Author: Nicolette Taku
Author: Mark Gurnell
Author: Andrew Powlson
Author: Carola-Bibiane Schönlieb
Author: Xiaohao Cai
Author: Michael Sutcliffe
Author: Michael Parker

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