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**Harvard**

Sato, T., Kase, Y., Watanabe, R., Niita, K. och Sihver, L. (2009) *Biological Dose Estimation for Charged-Particle Therapy using an Improved PHITS Code Coupled with a Microdosimetric Kinetic Model*.

** BibTeX **

@article{

Sato2009,

author={Sato, T. and Kase, Y and Watanabe, R and Niita, K. and Sihver, Lembit},

title={Biological Dose Estimation for Charged-Particle Therapy using an Improved PHITS Code Coupled with a Microdosimetric Kinetic Model},

journal={Radiation Research},

issn={0033-7587},

volume={171},

issue={1},

pages={107-117},

abstract={Microdosimetric quantities such as lineal energy, y, are better indexes for expressing the RBE of HZE particles in comparison to LET. However, the use of microdosimetric quantities in computational dosimetry is severely limited because of the difficulty in calculating their probability densities in macroscopic matter. We therefore improved the particle transport simulation code PHITS, providing it with the capability of estimating the microdosimetric probability densities in a macroscopic framework by incorporating a mathematical function that can instantaneously calculate the probability densities around the trajectory of HZE particles with a precision equivalent to that of a microscopic track-structure simulation. A new method for estimating biological dose, the product of physical dose and RBE, from charged-particle therapy was established using the improved PHITS coupled with a microdosimetric kinetic model. The accuracy of the biological dose estimated by this method was tested by comparing the calculated physical doses and RBE values with the corresponding data measured in a slab phantom irradiated with several kinds of HZE particles. The simulation technique established in this study will help to optimize the treatment planning of charged-particle therapy, thereby maximizing the therapeutic effect on tumors while minimizing unintended harmful effects on surrounding normal tissues.},

year={2009},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 111284

A1 Sato, T.

A1 Kase, Y

A1 Watanabe, R

A1 Niita, K.

A1 Sihver, Lembit

T1 Biological Dose Estimation for Charged-Particle Therapy using an Improved PHITS Code Coupled with a Microdosimetric Kinetic Model

YR 2009

JF Radiation Research

SN 0033-7587

VO 171

IS 1

SP 107

OP 117

AB Microdosimetric quantities such as lineal energy, y, are better indexes for expressing the RBE of HZE particles in comparison to LET. However, the use of microdosimetric quantities in computational dosimetry is severely limited because of the difficulty in calculating their probability densities in macroscopic matter. We therefore improved the particle transport simulation code PHITS, providing it with the capability of estimating the microdosimetric probability densities in a macroscopic framework by incorporating a mathematical function that can instantaneously calculate the probability densities around the trajectory of HZE particles with a precision equivalent to that of a microscopic track-structure simulation. A new method for estimating biological dose, the product of physical dose and RBE, from charged-particle therapy was established using the improved PHITS coupled with a microdosimetric kinetic model. The accuracy of the biological dose estimated by this method was tested by comparing the calculated physical doses and RBE values with the corresponding data measured in a slab phantom irradiated with several kinds of HZE particles. The simulation technique established in this study will help to optimize the treatment planning of charged-particle therapy, thereby maximizing the therapeutic effect on tumors while minimizing unintended harmful effects on surrounding normal tissues.

LA eng

DO 10.1667/RR1510.1

LK http://dx.doi.org/10.1667/RR1510.1

OL 30