Literature DB >> 30535286

TRACK EVENT THEORY: A CELL SURVIVAL and RBE MODEL CONSISTENT WITH NANODOSIMETRY.

Uwe Schneider1,2, Fabiano Vasi1,2, Kevin Schmidli1,2, Jürgen Besserer1,2.   

Abstract

A simple model for cell survival which is valid also at high dose has been developed. The model parameters can be traced back to measurable quantities from nanodosimetry. It is assumed that a cell is killed by an event which is defined by two or more double strand breaks in differently sized lethal interaction volumes (LIVs). Two different mechanisms can produce events, one-track events by one-particle track and two-track events by two. One- and two-track events are statistically independent. From the stochastic nature of cell killing which is described by the Poisson distribution, the cell survival probability was derived. The ratio of the number of one- and two-track events can be directly expressed in terms of nanodosimetry by the probability F2 that at least two ionizations are produced in a basic interaction volume (5-10 base pairs). From the model, relative biological effectiveness (RBE) can be derived which depends only on F2 and the size of the LIV. The expression for RBE fits experimental data with satisfying quality.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2019        PMID: 30535286     DOI: 10.1093/rpd/ncy236

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  2 in total

Review 1.  Applications of nanodosimetry in particle therapy planning and beyond.

Authors:  Antoni Rucinski; Anna Biernacka; Reinhard Schulte
Journal:  Phys Med Biol       Date:  2021-12-10       Impact factor: 3.609

2.  Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry.

Authors:  Sonwabile Arthur Ngcezu; Hans Rabus
Journal:  Radiat Environ Biophys       Date:  2021-08-24       Impact factor: 1.925

  2 in total

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