COMPUTATIONAL MODELING OF CELLULAR EFFECTS POST-IRRADIATION WITH LOW- AND HIGH-LET PARTICLES AND DIFFERENT ABSORBED DOSES

Adriana Alexandre S. Tavares, Joao Manuel R. S. Tavares

Research output: Contribution to journalArticlepeer-review

Abstract

The use of computational methods to improve the understanding of biological responses to various types of radiation is an approach where multiple parameters can be modelled and a variety of data is generated. This study compares cellular effects modelled for low absorbed doses against high absorbed doses. The authors hypothesized that low and high absorbed doses would contribute to cell killing via different mechanisms, potentially impacting on targeted tumour radiotherapy outcomes. Cellular kinetics following irradiation with selective low- and high-linear energy transfer (LET) particles were investigated using the Virtual Cell (VC) radiobiology algorithm. Two different cell types were assessed using the VC radiobiology algorithm: human fibroblasts and human crypt cells. The results showed that at lower doses (0.01 to 0.2 Gy), all radiation sources used were equally able to induce cell death (p>0.05, ANOVA). On the other hand, at higher doses (1.0 to 8.0 Gy), the radiation response was LET and dose dependent (p

Original languageEnglish
Pages (from-to)191-206
Number of pages16
JournalDose-Response
Volume11
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • computational methods
  • radiation-induced effects
  • cell kinetics
  • bystander effect
  • targeted tumour radiotherapy
  • Auger electrons
  • alpha particles
  • beta particles
  • TRANSFORMATION IN-VITRO
  • ELECTRON-EMITTING RADIONUCLIDES
  • TC-99M AUGER ELECTRONS
  • DNA-DAMAGE
  • INTERCELLULAR INDUCTION
  • IONIZING-RADIATION
  • ADAPTIVE RESPONSE
  • BYSTANDER
  • CELLS
  • IRRADIATION

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