論文

査読有り 国際誌
2020年1月22日

Experimental validation of stochastic microdosimetric kinetic model for multi-ion therapy treatment planning with helium-, carbon-, oxygen-, and neon-ion beams.

Physics in medicine and biology
  • Taku Inaniwa
  • ,
  • Masao Suzuki
  • ,
  • Sung-Hyun Lee
  • ,
  • Kota Mizushima
  • ,
  • Yoshiyuki Iwata
  • ,
  • Nobuyuki Kanematsu
  • ,
  • Toshiyuki Shirai

記述言語
英語
掲載種別
DOI
10.1088/1361-6560/ab6eba

The National Institute of Radiological Sciences (NIRS) has initiated a development project for hypo-fractionated multi-ion therapy. In the treatment, heavy ions up to neon ions will be used as a primary beam, which is a high linear energy transfer (LET) radiation. The fractionated dose of the treatment will be 10 Gy or more. The microdosimetric kinetic (MK) model overestimates the biological effectiveness of high-LET and high-dose radiations. To address this issue, the stochastic microdosimetric kinetic (SMK) model has been developed as an extension of the MK model. By taking the stochastic nature of domain-specific and cell nucleus-specific energies into account, the SMK model could estimate the biological effectiveness of radiations with wide LET and dose ranges. Previously, the accuracy of the SMK model was examined by comparison of estimated and reported survival fractions of human cells exposed to pristine helium-, carbon-, and neon-ion beams. In this study, we verified the SMK model in treatment planning of scanned helium-, carbon-, oxygen-, and neon-ion beams as well as their combinations through the irradiations of human undifferentiated carcinoma and human pancreatic cancer cells. Treatment plans were made with the ion-species beams to achieve a uniform 10% survival of the cells within a cuboid target. The planned survival fractions were reasonably reproduced by the measured survival fractions in the whole region from the plateau to the fragment tail for all planned irradiations. The SMK model offers the accuracy and simplicity required in hypo-fractionated multi-ion therapy treatment planning.

リンク情報
DOI
https://doi.org/10.1088/1361-6560/ab6eba
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31968318
ID情報
  • DOI : 10.1088/1361-6560/ab6eba
  • PubMed ID : 31968318

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