Literature DB >> 22568627

Direct response to proton beam linear energy transfer (LET) in a novel polymer gel dosimeter formulation.

O Lopatiuk-Tirpak1, Z Su, Z Li, O A Zeidan, S L Meeks, M J Maryanski.   

Abstract

Linear energy transfer (LET) of clinical proton beams is an important parameter influencing the biological effects of radiation. This work demonstrates LET-induced response enhancement in novel formulations of polymer gel dosimeters, potentially useful for LET mapping of clinical proton beams. A series of four polymer gel dosimeters (labeled A through D), prepared based on the BANG3-Pro2 formulation, but with varying concentrations of polymerization modifiers, were irradiated by a clinical proton beam with a spread out Bragg peak modulation (SOBP) and read out using the OCTOPUS-IQ optical CT scanner. The evaluation of optical density profiles in the SOBP (constant physical dose) revealed response deviations at the distal end consistent with variations in gel composition. Maximum response deviations were as follows: -3% (under-response) for gel A, and over-response of 2%, 12%, and 17% for gels B, C, and D, respectively, relative to the mean dose in the center of the SOBP. This enhancement in optical response was correlated to LET by analytical calculations. Gels A and B showed no measurable dependence on LET. Gel C responded linearly in the limited range from 1.5 to 3.5 keV/μm. LET response of gel D was linear up to at least 5.5 keV/μm, with the threshold at about 1.3 keV/μm. These results suggest that it may be possible to develop a polymer gel system with direct optical response to LET for mapping of LET distributions for particle therapy beams.

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Year:  2012        PMID: 22568627     DOI: 10.7785/tcrt.2012.500263

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  2 in total

Review 1.  Towards effective and efficient patient-specific quality assurance for spot scanning proton therapy.

Authors:  X Ronald Zhu; Yupeng Li; Dennis Mackin; Heng Li; Falk Poenisch; Andrew K Lee; Anita Mahajan; Steven J Frank; Michael T Gillin; Narayan Sahoo; Xiaodong Zhang
Journal:  Cancers (Basel)       Date:  2015-04-10       Impact factor: 6.639

2.  A novel method of estimating dose responses for polymer gels using texture analysis of scanning electron microscopy images.

Authors:  Cheng-Ting Shih; Jui-Ting Hsu; Rou-Ping Han; Bor-Tsung Hsieh; Shu-Jun Chang; Jay Wu
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

  2 in total

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