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The use of risk estimation models for the induction of secondary cancers following radiotherapy
Umeå University.ORCID iD: 0000-0001-8171-2541
Umeå University.ORCID iD: 0000-0002-7101-240X
Umeå University.
Umeå University.
2005 (English)In: Acta Oncologica, ISSN 0284-186X, E-ISSN 1651-226X, Vol. 44, no 4, 339-347 p.Article in journal (Refereed) Published
Abstract [en]

Theoretical predictions of cancer risk from radiotherapy may be used as a complementary criterion for the selection of successful treatment plans together with the classical approach of estimating the possible deterministic effects. However, any such attempts must take into consideration the specific features of radiation treatment. This paper explores several possible methods for estimating the risk of cancer following radiotherapy in order to investigate the influences of the fractionation and the non-uniformity of the dose to the irradiated organ. The results indicate that dose inhomogeneity plays an important role in predicting the risk for secondary cancer and therefore for predictive purposes it must be taken into account through the use of the dose volume histograms. They also suggest that the competition between cell killing and the induction of carcinogenic mutations has to be taken into consideration for more realistic risk estimations. Furthermore, more realistic parameters could be obtained if this competition is also included in analyses of epidemiological data from radiotherapy applications.

Place, publisher, year, edition, pages
2005. Vol. 44, no 4, 339-347 p.
National Category
Cancer and Oncology
URN: urn:nbn:se:liu:diva-71993DOI: 10.1080/02841860510029833PubMedID: 16120542OAI: diva2:455863
Available from: 2011-11-11 Created: 2011-11-11 Last updated: 2014-08-13

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Daşu, AlexandruToma-Daşu, Iuliana
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ReferencesLink to record
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