Optimization of X-ray microplanar beam radiation therapy for deep-seated tumors by a simulation study

Kunio Shinohara, Takeshi Kondoh, Nobuteru Nariyama, Hajime Fujita, Masakazu Washio, Yukimasa Aoki

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    6 Citations (Scopus)

    Abstract

    A Monte Carlo simulation was applied to study the energy dependence on the transverse dose distribution of microplanar beam radiation therapy (MRT) for deep-seated tumors. The distribution was found to be the peak (in-beam) dose and the decay from the edge of the beam down to the valley. The area below the same valley dose level (valley region) was decreased with the increase in the energy of X-rays at the same beam separation. To optimize the MRT, we made the following two assumptions: the therapeutic gain may be attributed to the efficient recovery of normal tissue caused by the beam separation; and a key factor for the efficient recovery of normal tissue depends on the area size of the valley region. Based on these assumptions and the results of the simulated dose distribution, we concluded that the optimum X-ray energy was in the range of 100-300 keV depending on the effective peak dose to the target tumors and/or tolerable surface dose. In addition, we proposed parameters to be studied for the optimization of MRT to deep-seated tumors.

    Original languageEnglish
    Pages (from-to)395-406
    Number of pages12
    JournalJournal of X-Ray Science and Technology
    Volume22
    Issue number3
    DOIs
    Publication statusPublished - 2014

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    Keywords

    • energy dependence
    • Microbeam radiation therapy
    • Monte Carlo simulation
    • transverse dose distribution
    • X-rays

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging
    • Condensed Matter Physics
    • Radiation
    • Electrical and Electronic Engineering
    • Instrumentation
    • Medicine(all)

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