Linked Life Data

8680060

Source:http://linkedlifedata.com/resource/pubmed/id/8680060

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1996-8-22
pubmed:abstractText
The evolution of a high grade glioblastoma of a patient undergoing radio-therapy has been analysed by considering a mathematical model which simulates the brain tumour growth within a two-dimensional domain defined by the brain and ventricles geometry. This simulated behaviour was compared with morphological data obtained from successive nuclear magnetic resonance scans of the patient. The model parameters include the proliferation rate and the diffusion coefficient of the tumour cells as well as their sensitivity to the irradiation. They were estimated using optimisation techniques to minimise the distance between simulated tumour area and scan data from different brain sections. The relevance of this quantitative estimation for the prognosis and for the consideration of additional parameters in the pre and post therapeutic evaluation of glioma is discussed.
pubmed:language
fre
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0007-4551
pubmed:author
pubmed:issnType
Print
pubmed:volume
82 Suppl 5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
530s-535s
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
[Dynamic characterization of the growth of brain tumors based on image sequences of nuclear magnetic resonance].
pubmed:affiliation
Laboratoire TIMC-IMAG, CNRS URA 1618, CHRU de Grenoble, La Tronche, France.
pubmed:publicationType
Journal Article, English Abstract