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- Dasu, AlexandruLinköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,The Skandion Clinic, Uppsala, Sweden (författare)
Models for the risk of secondary cancers from radiation therapy
- Artikel/kapitelEngelska2017
Förlag, utgivningsår, omfång ...
- London :Elsevier BV,2017
- printrdacarrier
Nummerbeteckningar
- LIBRIS-ID:oai:DiVA.org:su-139927
- https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-139927URI
- https://doi.org/10.1016/j.ejmp.2017.02.015DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396752URI
- http://kipublications.ki.se/Default.aspx?queryparsed=id:137185003URI
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134639URI
Kompletterande språkuppgifter
- Språk:engelska
- Sammanfattning på:engelska
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- SwePubSwePub
Klassifikation
Anmärkningar
- Funding agencies: Cancer Research Funds of Radiumhemmet; Swedish Radiation Safety Authority
- The interest in the induction of secondary tumours following radiotherapy has greatly increased as developments in detecting and treating the primary tumours have improved the life expectancy of cancer patients. However, most of the knowledge on the current levels of risk comes from patients treated many decades ago. As developments of irradiation techniques take place at a much faster pace than the progression of the carcinogenesis process, the earlier results could not be easily extrapolated to modern treatments. Indeed, the patterns of irradiation from historically-used orthovoltage radiotherapy and from contemporary techniques like conformal radiotherapy with megavoltage radiation, intensity modulated radiation therapy with photons or with particles are quite different. Furthermore, the increased interest in individualised treatment options raises the question of evaluating and ranking the different treatment plan options from the point of view of the risk for cancer induction, in parallel with the quantification of other long-term effects. It is therefore inevitable that models for risk assessment will have to be used to complement the knowledge from epidemiological studies and to make predictions for newer forms of treatment for which clinical evidence is not yet available. This work reviews the mathematical models that could be used to predict the risk of secondary cancers from radiotherapy-relevant dose levels, as well as the approaches and factors that have to be taken into account when including these models in the clinical evaluation process. These include the effects of heterogeneous irradiation, secondary particles production, imaging techniques, interpatient variability and other confounding factors.
Ämnesord och genrebeteckningar
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Cancer och onkologi hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Cancer and Oncology hsv//eng
- Radiation therapy
- Risk for secondary cancers
- Modelling
Biuppslag (personer, institutioner, konferenser, titlar ...)
- Toma-Dasu, IulianaKarolinska Institutet,Stockholms universitet,Fysikum,Stockholm University, Sweden; Karolinska Institutet, Sweden(Swepub:su)iuda0736 (författare)
- Linköpings universitetAvdelningen för radiologiska vetenskaper (creator_code:org_t)
Sammanhörande titlar
- Ingår i:Physica medica (Testo stampato)London : Elsevier BV42, s. 232-2381120-17971724-191X
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- Physica medica (Testo stampato) (Sök värdpublikationen i LIBRIS)
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