Literature DB >> 2000445

Criteria and techniques for analysing cell survival data.

D Bettega1, P Calzolari, A Ottolenghi, L Tallone Lombardi.   

Abstract

Cell survival was studied by analyzing the inactivation probability density function and its fundamental parameters. Mean D, variance sigma 2 and mode Dmode were evaluated and a set of equations relating these parameters to the usual parameters of the multitarget, multihit and linear-quadratic models Do and n, alpha and beta, kappa and lambda are reported. The multihit equation used was an extension of the usual equation, to allow parameter kappa to assume values that are not necessarily integers. In the multitarget curve, the mode of inactivation probability density function, proved to be the quasi-threshold dose Dq = Do ln(n). Relative variance, degree of asymmetry and degree of peakedness can be calculated from the shape parameters n in the multitarget model, kappa in the multihit model, and alpha/square root of beta in the linear-quadratic model. From an analysis of eight published cell survival sets of data, on C3H10T1/2 cells exposed to low LET radiations, it was found that D, sigma, and SF2 are the parameters which exhibit the least variation from experiment to experiment and the least variation in selecting the range of data available for estimation.

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Year:  1991        PMID: 2000445     DOI: 10.1007/bf01595574

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


  17 in total

1.  Distribution of radiation sensitivities for human tumor cells of specific histological types: comparison of in vitro to in vivo data.

Authors:  E P Malaise; B Fertil; N Chavaudra; M Guichard
Journal:  Int J Radiat Oncol Biol Phys       Date:  1986-04       Impact factor: 7.038

2.  Radiobiological characterization of 53 human tumor cell lines.

Authors:  R R Weichselbaum; J Rotmensch; S Ahmed-Swan; M A Beckett
Journal:  Int J Radiat Biol       Date:  1989-11       Impact factor: 2.694

Review 3.  The radiobiology of human cells and tissues. In vitro radiosensitivity. The picture has changed in the 1980s.

Authors:  G G Steel; T J McMillan; J H Peacock
Journal:  Int J Radiat Biol       Date:  1989-11       Impact factor: 2.694

4.  Is the mean inactivation dose a good measure of cell radiosensitivity?

Authors:  S L Tucker
Journal:  Radiat Res       Date:  1986-01       Impact factor: 2.841

5.  Inherent cellular radiosensitivity as a basic concept for human tumor radiotherapy.

Authors:  B Fertil; E P Malaise
Journal:  Int J Radiat Oncol Biol Phys       Date:  1981-05       Impact factor: 7.038

6.  X-radiation-induced transformation in a C3H mouse embryo-derived cell line.

Authors:  M Terzaghi; J B Little
Journal:  Cancer Res       Date:  1976-04       Impact factor: 12.701

7.  Oncogenic transformation of mammalian cells in vitro with split doses of x-rays.

Authors:  R C Miller; E J Hall; H H Rossi
Journal:  Proc Natl Acad Sci U S A       Date:  1979-11       Impact factor: 11.205

8.  Transformation of mouse C3H/10T1/2 cells by single and fractionated doses of X-rays and fission-spectrum neutrons.

Authors:  A Han; M M Elkind
Journal:  Cancer Res       Date:  1979-01       Impact factor: 12.701

9.  Intrinsic radiosensitivity of human cell lines is correlated with radioresponsiveness of human tumors: analysis of 101 published survival curves.

Authors:  B Fertil; E P Malaise
Journal:  Int J Radiat Oncol Biol Phys       Date:  1985-09       Impact factor: 7.038

Review 10.  The radioresponsiveness of human tumours and the initial slope of the cell survival curve.

Authors:  J Deacon; M J Peckham; G G Steel
Journal:  Radiother Oncol       Date:  1984-12       Impact factor: 6.280

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  1 in total

1.  Optimum inactivation dose and indices of radiation response based on the linear quadratic survival equation.

Authors:  B S Jacobson
Journal:  Radiat Environ Biophys       Date:  1993       Impact factor: 1.925

  1 in total

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