Document Detail


Assessment of the risk for developing a second malignancy from scattered and secondary radiation in radiation therapy.
MedLine Citation:
PMID:  23032895     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
With the average age of radiation therapy patients decreasing and the advent of more complex treatment options comes the concern that the incidences of radiation-induced cancer might increase in the future. The carcinogenic effects of radiation are not well understood for the entire dose range experienced in radiation therapy. Longer epidemiologic studies are needed to improve current risk models and reduce uncertainties of current risk model parameters. On the other hand, risk estimations are needed today to judge the risks versus benefits of modern radiation therapy techniques. This paper describes the current state-of-the-art in risk modeling for radiation-induced malignancies in radiation therapy, distinguishing between two volumes: first, the organs within the main radiation field receiving low or intermediate doses (typically between 0.1 and 50 Gy); and second, the organs far away from the treatment volume receiving low doses mainly due to scattered and secondary radiation (typically below 0.1 Gy). The dosimetry as well as the risk model formalisms are outlined. Furthermore, example calculations and results are presented for intensity-modulated photon therapy versus proton therapy.
Authors:
Harald Paganetti
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Health physics     Volume:  103     ISSN:  1538-5159     ISO Abbreviation:  Health Phys     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-10-03     Completed Date:  2012-12-13     Revised Date:  2013-11-06    
Medline Journal Info:
Nlm Unique ID:  2985093R     Medline TA:  Health Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  652-61     Citation Subset:  IM    
Affiliation:
Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA. hpaganetti@partners.org
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MeSH Terms
Descriptor/Qualifier:
Humans
Models, Statistical
Neoplasms, Radiation-Induced / etiology*
Neoplasms, Second Primary / etiology*
Radiotherapy
Risk Assessment / methods*
Scattering, Radiation*
Grant Support
ID/Acronym/Agency:
P01 CA021239/CA/NCI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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