University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Modelling and detecting tumour oxygenation levels.

Skeldon, AC, Chaffey, G, Lloyd, DJ, Mohan, V, Bradley, DA and Nisbet, A (2012) Modelling and detecting tumour oxygenation levels. PLoS One, 7 (6).

[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (33kB)
[img]
Preview
Text
Skeldon et al PlusOne 2012.pdf - ["content_typename_Published version (Publisher's proof or final PDF)" not defined]
Available under License : See the attached licence file.

Download (1MB) | Preview

Abstract

Tumours that are low in oxygen (hypoxic) tend to be more aggressive and respond less well to treatment. Knowing the spatial distribution of oxygen within a tumour could therefore play an important role in treatment planning, enabling treatment to be targeted in such a way that higher doses of radiation are given to the more radioresistant tissue. Mapping the spatial distribution of oxygen in vivo is difficult. Radioactive tracers that are sensitive to different levels of oxygen are under development and in the early stages of clinical use. The concentration of these tracer chemicals can be detected via positron emission tomography resulting in a time dependent concentration profile known as a tissue activity curve (TAC). Pharmaco-kinetic models have then been used to deduce oxygen concentration from TACs. Some such models have included the fact that the spatial distribution of oxygen is often highly inhomogeneous and some have not. We show that the oxygen distribution has little impact on the form of a TAC; it is only the mean oxygen concentration that matters. This has significant consequences both in terms of the computational power needed, and in the amount of information that can be deduced from TACs.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
AuthorsEmailORCID
Skeldon, ACUNSPECIFIEDUNSPECIFIED
Chaffey, GUNSPECIFIEDUNSPECIFIED
Lloyd, DJUNSPECIFIEDUNSPECIFIED
Mohan, VUNSPECIFIEDUNSPECIFIED
Bradley, DAUNSPECIFIEDUNSPECIFIED
Nisbet, AUNSPECIFIEDUNSPECIFIED
Date : 2012
Identification Number : 10.1371/journal.pone.0038597
Additional Information : Copyright 2012 Public Library of Science
Depositing User : Symplectic Elements
Date Deposited : 28 Oct 2013 09:58
Last Modified : 09 Jun 2014 13:34
URI: http://epubs.surrey.ac.uk/id/eprint/802560

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800