Statistical effects of dose deposition in track-structure modeling of radiobiology efficiency

Michael Beuve (1, 2) , A. Colliaux (1, 2) , Djamel Dabli (3) , D. Dauvergne (1) , B. Gervais (4) , Gerard Montarou (3) , E. Testa (1)

1 IPNL - Institut de Physique Nucléaire de Lyon
2 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 LPC - Laboratoire de Physique Corpusculaire - Clermont-Ferrand
4 CIMAP - UMR 6252 - Centre de recherche sur les Ions, les MAtériaux et la Photonique

Ion-induced cell killing has been reported to depend on irradiation dose but also projectile parameters. In this paper we focus on two approaches developed and extensively used to predict cell survival in response to ion irradiation: the Local Effect Model and the Katz Model. These models are based on a track-structure description summarized in the concept of radial dose. This latter is sensitive to ion parameters and gives to both models the ability to predict some important radiobiological features for ion irradiations. Radial dose is however an average quantity, which does not include stochastic effects. These radiation-intrinsic effects are investigated by means of a Monte-Carlo simulation of dose deposition. We show that both models are not fully consistent with the nanometric and microscopic dose deposition statistics.

Mots clés: Track-structure models; Cell survival; High-LET ions; theory; simulations

Domaines: Biophysique [physics.bio-ph]

Michael Beuve, A. Colliaux, Djamel Dabli, D. Dauvergne, B. Gervais, et al.. Statistical effects of dose deposition in track-structure modeling of radiobiology efficiency. The Seventh International Symposium on Swift Heavy Ions in Matter, Jun 2008, Lyon, France. pp.983-988, ⟨10.1016/j.nimb.2009.02.016⟩. ⟨hal-00275539⟩