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

Michaël Beuve (1, 2) , Anthony Colliaux (2, 1) , Djamel Dabli (3) , Denis Dauvergne (2) , B. Gervais (4) , Gerard Montarou (3) , Etienne Testa (2)

1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
2 IPNL - Institut de Physique Nucléaire de Lyon
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 the irradiation dose but also on the 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 characteristics 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 model; Cell survival; High LET; Ions; Theory; Simulation

Domaines: Biophysique [physics.bio-ph]

Michaël Beuve, Anthony Colliaux, Djamel Dabli, Denis Dauvergne, B. Gervais, et al.. Statistical effects of dose deposition in track-structure modelling of radiobiology efficiency. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 2009, 267, pp.983-988. ⟨10.1016/j.nimb.2009.02.016⟩. ⟨in2p3-00363079⟩