| Treatment modelling: the influence of micro-environmental conditions. | |
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MedLine Citation:
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PMID: 18568485 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The interest in theoretical modelling of radiation response has grown steadily from a fast method to estimate the gain of new treatment strategies to an individualisation tool that may be used as part of the treatment planning algorithms. While the advantages of biological optimisation of plans are obvious, accurate theoretical models and realistic information about the micro-environmental conditions in tissues are needed. This paper aimed to investigate the clinical implications of taking into consideration the details of the tumour microenvironmental conditions. The focus was on the availability of oxygen and other nutrients to tumour cells and the relationship between cellular energy reserves and DNA repair ability as this is thought to influence the response of the various hypoxic cells. The choice of the theoretical models for predicting the response (the linear quadratic model or the inducible repair model) was also addressed. The modelling performed in this project has shown that the postulated radiobiological differences between acute and chronic hypoxia have some important clinical implications which may help to understand the mechanism behind the current success rates of radiotherapy. The results also suggested that it is important to distinguish between the two types of hypoxia in predictive assays and other treatment simulations. |
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Authors:
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Alexandru Daşu; Iuliana Toma-Daşu |
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Publication Detail:
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Type: Comparative Study; Journal Article |
Journal Detail:
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Title: Acta oncologica (Stockholm, Sweden) Volume: 47 ISSN: 1651-226X ISO Abbreviation: Acta Oncol Publication Date: 2008 |
Date Detail:
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Created Date: 2008-06-23 Completed Date: 2008-09-29 Revised Date: 2009-05-12 |
Medline Journal Info:
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Nlm Unique ID: 8709065 Medline TA: Acta Oncol Country: Norway |
Other Details:
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Languages: eng Pagination: 896-905 Citation Subset: IM |
Affiliation:
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Department of Radiation Physics, Norrland University Hospital, Umeå, Sweden. alexandru.dasu@radfys.umu.se |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Anoxia Cell Hypoxia* DNA Repair Humans Models, Biological* Monte Carlo Method Neoplasms / genetics, metabolism*, radiotherapy* Oxygen Consumption Poisson Distribution Predictive Value of Tests Radiation Effects* Radiotherapy Planning, Computer-Assisted / methods* Relative Biological Effectiveness |
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