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Journal Articles

Implementation of simplified stochastic microdosimetric kinetic models into PHITS for application to radiation treatment planning

Sato, Tatsuhiko; Hashimoto, Shintaro; Inaniwa, Taku*; Takada, Kenta*; Kumada, Hiroaki*

International Journal of Radiation Biology, 97(10), p.1450 - 1460, 2021/10

 Times Cited Count:7 Percentile:77.21(Biology)

The stochastic microdosimetric kinetic (SMK) model is one of the most sophisticated and precise models used in the estimation of the relative biological effectiveness of carbon-ion radiotherapy (CRT) and boron neutron capture therapy (BNCT). Through the introduction of Taylor expansion (TE) or fast Fourier transform (FFT), we developed two simplified SMK models and implemented them into the Particle and Heavy Ion Transport code System (PHITS). This study enables the instantaneous calculation of the equieffective dose for CRT and BNCT, considering their cellular-scale dose heterogeneities. Treatment-planning systems that use the improved PHITS as a dose-calculation engine are under development.

Journal Articles

A New Standard DNA Damage (SDD) data format

Schuemann, J.*; McNamara, A. L.*; Warmenhoven, J. W.*; Henthorn, N. T.*; Kirkby, K.*; Merchant, M. J.*; Ingram, S.*; Paganetti, H.*; Held, K. D.*; Ramos-Mendez, J.*; et al.

Radiation Research, 191(1), p.76 - 93, 2019/01

 Times Cited Count:47 Percentile:94.65(Biology)

We propose a new Standard DNA Damage (SDD) data format to unify the interface between the simulation of damage induction in DNA and the biological modelling of DNA repair processes, and introduce the effect of the environment (molecular oxygen or other compounds) as a flexible parameter. Such a standard greatly facilitates inter-model comparisons, providing an ideal environment to tease out model assumptions and identify persistent, underlying mechanisms. Through inter-model comparisons, this unified standard has the potential to greatly advance our understanding of the underlying mechanisms of radiation-induced DNA damage and the resulting observable biological effects when radiation parameters and/or environmental conditions change.

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