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dc.contributor.authorNisa Chawapunen_US
dc.date.accessioned2018-09-11T08:56:40Z-
dc.date.available2018-09-11T08:56:40Z-
dc.date.issued2006-12-01en_US
dc.identifier.issn18235530en_US
dc.identifier.other2-s2.0-57049159912en_US
dc.identifier.other10.2349/biij.2.1.e22en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57049159912&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/61661-
dc.description.abstractRadiation therapy is an important local cytotoxic modality for cancer treatment whose aim is to control the disease while minimising damage to normal tissue. The combination of different treatment modalities offers a more effective cure and reduction in normal tissue toxicity. However, the differences in genetic profiles can cause diverse treatment outcomes. Multidisciplinary research, where technologies and knowledge from different areas are integrated, is necessary to design the optimal regimen for individualised cancer treatment. This paper offers an overview of some new cancer treatment strategies; the impact of molecular imaging on radiation oncology; and a computer simulation model to optimise treatment planning based on patient information. It briefly discusses molecular targeted therapy, tumour microenvironment and bioreductive agents, and evidence for making individualised medicine a reality. Using DNA microarrays and proteomic technologies, information on defined molecular targets and genetic profiling for individual patients can be obtained and new algorithms for radiation oncology-related diagnosis, treatment response and prognosis can be developed. © 2006 Biomedical Imaging and Intervention Journal. All rights reserved.en_US
dc.subjectEngineeringen_US
dc.subjectHealth Professionsen_US
dc.subjectMedicineen_US
dc.titleUpdate on clinical radiobiologyen_US
dc.typeJournalen_US
article.title.sourcetitleBiomedical Imaging and Intervention Journalen_US
article.volume2en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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