| Literature DB >> 29177202 |
Neil G Burnet1,2, Jessica E Scaife1,2, Marina Romanchikova1,3, Simon J Thomas1,3, Amy M Bates1,4, Emma Wong1,4, David J Noble1,4, Leila Ea Shelley1,5, Simon J Bond1,6, Julia R Forman1,6, Andrew Cf Hoole1,3, Gillian C Barnett1,4, Frederic M Brochu1,7, Michael Pd Simmons1,7, Raj Jena1,2, Karl Harrison1,7, Ping Lin Yeap1,7, Amelia Drew1,7, Emma Silvester1,7, Patrick Elwood1,7, Hannah Pullen1,7, Andrew Sultana1,7, Shannon Yk Seah1,7, Megan Z Wilson1,7, Simon G Russell1,4, Richard J Benson1,4, Yvonne L Rimmer1,4, Sarah J Jefferies1,4, Nicolette Taku1,2, Mark Gurnell1,8, Andrew S Powlson1,8, Carola-Bibiane Schönlieb1,9, Xiaohao Cai1,10, Michael Pf Sutcliffe1,7, Michael A Parker1,7.
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.Entities:
Keywords: Multidisciplinary; physical sciences; radiation toxicity
Year: 2017 PMID: 29177202 PMCID: PMC5701740 DOI: 10.23726/cij.2017.457
Source DB: PubMed Journal: CERN Ideasq J Exp Innov ISSN: 2413-9505