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Nanodosimetry in a clinical neutron therapy beam using the variance-covariance method and Monte Carlo simulations.
Stockholm University, Faculty of Science, Medical Radiation Physics (together with KI).
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2007 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 52, no 16, 4953-66 p.Article in journal (Other academic) Published
Abstract [en]

Nanodosimetric single-event distributions or their mean values may contribute to a better understanding of how radiation induced biological damages are produced. They may also provide means for radiation quality characterization in therapy beams. Experimental nanodosimetry is however technically challenging and Monte Carlo simulations are valuable as a complementary tool for such investigations. The dose-mean lineal energy was determined in a therapeutic p(65)+Be neutron beam and in a Co-60 gamma. beam using low-pressure gas detectors and the variance-covariance method. The neutron beam was simulated using the condensed history Monte Carlo codes MCNPX and SHIELD-HIT. The dose-mean lineal energy was calculated using the simulated dose and fluence spectra together with published data from track-structure simulations. A comparison between simulated and measured results revealed some systematic differences and different dependencies on the simulated object size. The results show that both experimental and theoretical approaches are needed for an accurate dosimetry in the nanometer region. In line with previously reported results, the dose-mean lineal energy determined at 10 nm was shown to be related to clinical RBE values in the neutron beam and in a simulated 175 MeV proton beam as well.

Place, publisher, year, edition, pages
IOP , 2007. Vol. 52, no 16, 4953-66 p.
Keyword [en]
Computer Simulation, Models; Biological, Models; Statistical, Monte Carlo Method, Nanotechnology/*methods, Neutron Capture Therapy/*methods, Radiometry/*methods, Radiotherapy Dosage, Regression Analysis, Reproducibility of Results, Sensitivity and Specificity
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-21530DOI: 10.1088/0031-9155/52/16/016PubMedID: 17671346OAI: oai:DiVA.org:su-21530DiVA: diva2:188057
Available from: 2007-12-12 Created: 2007-12-12 Last updated: 2010-09-30Bibliographically approved

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