PREDICTING BIOLOGICAL EFFECTS ALONG HADRONTHERAPY DOSE PROFILES BY THE BIANCA BIOPHYSICAL MODEL

Radiat Prot Dosimetry. 2019 May 1;183(1-2):111-115. doi: 10.1093/rpd/ncy263.

Abstract

The BIANCA biophysical model of cell death and chromosome aberrations was further refined and applied to predict the biological effectiveness along Spread-Out Bragg Peaks used in hadrontherapy. The simulation outcomes were compared with in vitro survival data on protons, He-ions and C-ions over a wide LET range, and the particle- and LET-dependence of the DNA Cluster Lesions (CLs) yields used as input parameters was investigated. For each particle type, the CL yield was found to increase with LET in a linear-quadratic fashion; fitting the CL yields allowed to predict cell death and chromosome aberrations in principle at any depth along a longitudinal proton dose profile used at CNAO. A clear increase in effectiveness was found in the SOBP distal region, supporting the idea that, in some cases, the constant proton RBE usually applied in clinics may be a sub-optimal solution.

MeSH terms

  • Animals
  • Biophysics
  • Carbon
  • Cell Line
  • Cell Survival / radiation effects*
  • Chromosome Aberrations / radiation effects*
  • Cricetinae
  • DNA Damage / radiation effects*
  • Dose-Response Relationship, Radiation
  • Fibroblasts / radiation effects*
  • Heavy Ion Radiotherapy*
  • Helium
  • Humans
  • Linear Energy Transfer
  • Monte Carlo Method
  • Proton Therapy*
  • Relative Biological Effectiveness

Substances

  • Helium
  • Carbon