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dc.contributor.author
Skeldon, Anne C.
dc.contributor.author
Chaffey, Gary
dc.contributor.author
Lloyd, David J.B.
dc.contributor.author
Mohan, Vineet
dc.contributor.author
Bradley, David A.
dc.contributor.author
Nisbet, Andrew
dc.date.accessioned
2019-10-03T12:28:28Z
dc.date.available
2017-06-10T02:04:06Z
dc.date.available
2018-09-13T10:56:45Z
dc.date.available
2019-10-03T12:28:28Z
dc.date.issued
2012-06-18
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0038597
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/51199
dc.identifier.doi
10.3929/ethz-b-000051199
dc.description.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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Modelling and Detecting Tumour Oxygenation Levels
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS ONE
ethz.journal.volume
7
en_US
ethz.journal.issue
6
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e38597
en_US
ethz.size
17 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
006206116
ethz.publication.place
San Francisco, California
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-10T02:04:22Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f639782837875
ethz.ecitpid
pub:83542
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T20:49:40Z
ethz.rosetta.lastUpdated
2019-10-03T12:28:39Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
ethz.COinS
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