Literature DB >> 928628

Mechanistic state vector model for cell killing by ionizing radiation.

B R Scott.   

Abstract

By use of the mechanistic state vector model (MSV model) it is demonstrated that under circumstances where cell division during irradiation is unlikely: 1. A cell survival curve (dose-log surviving fraction curve) that is exponential can be obtained even though some of the surviving cells may have nonlethal damage. Exponential survival curves are said to have zero curvature. 2. In some cases, in the absence of a mixed population, the slope of a single-dose survival curve may decrease in magnitude, as the dose increases for a range of doses. These curves are said to show negative curvature for that range of doses. Fractionating the dose or decreasing the dose rate may result in enhanced cell killing. 3. The initial slope of a mammalian cell survival curve should be independent of the dose rate and number of dose fractions provided that the number of cells having lethal damage builds up to a steady level during the post irradiation time regime. The magnitude of the initial slope will depend on properties of the cells and on properties of the radiation. 4. A nonzero initial slope in the cell survival curve, after exposure to low linear energy transfer (LET) radiation, may be due to biology, rather than physics.

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Year:  1977        PMID: 928628     DOI: 10.1007/bf01323939

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  27 in total

1.  Application of microdosimetry to models of cell survival. I.

Authors:  M G Payne; W R Garrett
Journal:  Radiat Res       Date:  1975-08       Impact factor: 2.841

2.  Effects of different radiations on human cells in tissue culture. II. Biological experiments.

Authors:  G W BARENDSEN; T L BEUSKER; A J VERGROESEN; L BUDKE
Journal:  Radiat Res       Date:  1960-12       Impact factor: 2.841

3.  THE ACTION OF FAST HEAVY IONS ON BIOLOGICAL MATERIAL. II. EFFECTS ON T1 AND PHI-X-174 BACTERIOPHAGE AND DOUBLE -STRAND AND SINGLE-STRAND DNA.

Authors:  P E SCHAMBRA; F HUTCHINSON
Journal:  Radiat Res       Date:  1964-12       Impact factor: 2.841

4.  A direct measurement of the radiation sensitivity of normal mouse bone marrow cells.

Authors:  J E TILL; E A McCULLOCH
Journal:  Radiat Res       Date:  1961-02       Impact factor: 2.841

5.  The stochastic theory of mortality.

Authors:  G A SACHER; E TRUCCO
Journal:  Ann N Y Acad Sci       Date:  1962-03-02       Impact factor: 5.691

6.  Repair of potentially lethal damage in x-irradiated HeLa cells.

Authors:  R A Phillips; L J Tolmach
Journal:  Radiat Res       Date:  1966-11       Impact factor: 2.841

7.  Heavy-ion-induced single- and double-strand breaks in phiX-174 replicative form DNA.

Authors:  R C Christensen; C A Tobias; W D Taylor
Journal:  Int J Radiat Biol Relat Stud Phys Chem Med       Date:  1972-11

8.  A comparison of the response of mammalian cells to fast neutrons and charged particle beams.

Authors:  D K Bewley
Journal:  Radiat Res       Date:  1968-05       Impact factor: 2.841

9.  RBE and the primary mechanism of radiation action.

Authors:  A M Kellerer; H H Rossi
Journal:  Radiat Res       Date:  1971-07       Impact factor: 2.841

10.  A kinetic model of biological radiation response.

Authors:  G J Dienes
Journal:  Radiat Res       Date:  1966-06       Impact factor: 2.841

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  5 in total

1.  A model for early death caused by radiation pneumonitis and pulmonary fibrosis after inhaling insoluble radioactive particles.

Authors:  B R Scott
Journal:  Bull Math Biol       Date:  1980       Impact factor: 1.758

2.  A dose-response model for estimating lifetime tumor risks when cell killing occurs.

Authors:  B R Scott
Journal:  Bull Math Biol       Date:  1981       Impact factor: 1.758

3.  A Comparison of In Vivo Cellular Responses to Cs-137 Gamma Rays And 320-kV X Rays.

Authors:  B R Scott; K M Gott; C A Potter; J Wilder
Journal:  Dose Response       Date:  2013-01-18       Impact factor: 2.658

4.  An examination of radiation hormesis mechanisms using a multistage carcinogenesis model.

Authors:  H Schöllnberger; R D Stewart; R E J Mitchel; W Hofmann
Journal:  Nonlinearity Biol Toxicol Med       Date:  2004-10

5.  Analysis of epidemiological cohort data on smoking effects and lung cancer with a multi-stage cancer model.

Authors:  H Schöllnberger; M Manuguerra; H Bijwaard; H Boshuizen; H P Altenburg; S M Rispens; M J P Brugmans; P Vineis
Journal:  Carcinogenesis       Date:  2006-01-12       Impact factor: 4.944

  5 in total

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