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Survey of cellular radiosensitivity parameters

R Katz1, R Zachariah, F A Cucinotta

  • 1University of Nebraska, Lincoln 68588-0111.

Radiation Research
|December 1, 1994
PubMed
Summary
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This study extends a particle track model using biological target theory to predict how cells respond to energetic heavy ions. The model incorporates parameters describing cellular targets and nucleus size, successfully applied to radiobiological data.

Area of Science:

  • Radiobiology
  • Radiation Physics
  • Biophysics

Background:

  • Particle track formation models are crucial for understanding radiation effects.
  • Biological target theory provides a framework for cellular response to radiation.
  • Energetic heavy ions present unique challenges due to their dense ionization patterns.

Purpose of the Study:

  • To extend an existing particle track formation model using biological target theory.
  • To formulate a theory for the response of biological cells and molecules to energetic heavy ions.
  • To analyze cellular parameters and their relationships in heavy ion bombardments.

Main Methods:

  • Extended a particle track formation model incorporating biological target theory.
  • Utilized the single-hit, multitarget model for gamma ray response (parameters m and D0).
Keywords:
Non-programmatic

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  • Introduced parameters kappa (a0) and sigma 0 for heavy ion response, representing target size and nuclear cross-sectional area.

    • Main Results:

    • The model successfully describes responses to gamma rays and heavy ions, including single- and double-strand DNA breaks and E. coli strains.
    • Observed two-hit responses for track core effects, thermoluminescent dosimeters, and nuclear emulsions.
    • Applied the model to approximately 40 datasets from gamma, heavy ion, and neutron irradiations, showing consistent behavior of parameter kappa.

    Conclusions:

    • The extended model provides a robust framework for understanding biological responses to energetic heavy ions.
    • Parameter kappa shows minimal variation across cell types, indicating its role in determining Relative Biological Effectiveness (RBE) maximum.
    • Parameters D0 (gamma ray response) and sigma 0 (target size) exhibit significant variability, reflecting differences in cellular radiosensitivity and nuclear size.