Literature DB >> 15798334

Probabilistic two-stage model of cell inactivation by ionizing particles.

Pavel Kundrát1, Milos Lokajícek, Hana Hromcíková.   

Abstract

A model of biological effects of ionizing particles, especially of protons and other ions, is proposed. The model is based on distinguishing the single-particle and collective effects of the underlying radiobiological mechanism. The probabilities of individual particles causing severe damage to DNA, their synergetic or saturation combinations, and the effect of the cellular repair system are taken into account. The model enables one to describe linear, parabolic and more complex curves, including those exhibiting low-dose hypersensitivity phenomena, in a systematic way. Global shape as well as detailed structure of survival curves might be represented, which is crucial if different fractionation schemes in radiotherapy should be assessed precisely. Experimental cell-survival data for inactivation of V79 cells by low-energy protons have been analysed and corresponding detailed characteristics of the inactivation mechanism have been derived for this case.

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Year:  2005        PMID: 15798334     DOI: 10.1088/0031-9155/50/7/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  A formulation of cell surviving fraction after radiation exposure.

Authors:  Hiroyuki Date; Kosuke Wakui; Kohei Sasaki; Takahiro Kato; Takeshi Nishioka
Journal:  Radiol Phys Technol       Date:  2013-11-28

2.  Calcitriol and Calcidiol Can Sensitize Melanoma Cells to Low⁻LET Proton Beam Irradiation.

Authors:  Ewa Podgorska; Agnieszka Drzal; Zenon Matuszak; Jan Swakon; Andrzej Slominski; Martyna Elas; Krystyna Urbanska
Journal:  Int J Mol Sci       Date:  2018-07-31       Impact factor: 5.923

3.  Analytical formulas representing track-structure simulations on DNA damage induced by protons and light ions at radiotherapy-relevant energies.

Authors:  Pavel Kundrát; Werner Friedland; Janine Becker; Markus Eidemüller; Andrea Ottolenghi; Giorgio Baiocco
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

  3 in total

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