Source:http://linkedlifedata.com/resource/pubmed/id/20843178
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
8
|
| pubmed:dateCreated |
2010-10-18
|
| pubmed:abstractText |
Currently, optimisation of the dose distribution and clinical acceptance are almost entirely based on the physical dose distribution and tumour control probability modelling is far from being routinely used as objective in treatment planning. For future individualised radiotherapeutic strategies, a reliable patient specific simulation model, taking into account customised tumour features, is needed to predict and improve treatment outcome.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Nov
|
| pubmed:issn |
1651-226X
|
| pubmed:author | |
| pubmed:issnType |
Electronic
|
| pubmed:volume |
49
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
1354-62
|
| pubmed:meshHeading |
pubmed-meshheading:20843178-Cell Hypoxia,
pubmed-meshheading:20843178-Cell Proliferation,
pubmed-meshheading:20843178-Cell Survival,
pubmed-meshheading:20843178-Computer Simulation,
pubmed-meshheading:20843178-Humans,
pubmed-meshheading:20843178-Linear Models,
pubmed-meshheading:20843178-Logistic Models,
pubmed-meshheading:20843178-Monte Carlo Method,
pubmed-meshheading:20843178-Neoplasms,
pubmed-meshheading:20843178-Neoplastic Stem Cells,
pubmed-meshheading:20843178-Probability,
pubmed-meshheading:20843178-Radiation Tolerance
|
| pubmed:year |
2010
|
| pubmed:articleTitle |
Computer simulation of tumour control probabilities after irradiation for varying intrinsic radio-sensitivity using a single cell based model.
|
| pubmed:affiliation |
German Cancer Research Center, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany.
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|