Literature DB >> 15275995

A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation.

Dimitra D Dionysiou1, Georgios S Stamatakos, Nikolaos K Uzunoglu, Konstantina S Nikita, Antigoni Marioli.   

Abstract

The aim of this paper is to present the current state of a four-dimensional simulation model of solid tumour growth and response to radiotherapy developed by our group. The most prominent points of the algorithms describing the fundamental biological phenomena involved are outlined. A specific application of the model to a selected clinical case of glioblastoma multiforme is described and comparative studies are performed, using various exploratory values of the model parameters. Qualitative agreement with clinical observations has been achieved. Special emphasis is laid on the variability of radiosensitivity parameters throughout the cell cycle and on the influence of the genetic profile of the tumour on its radiosensitivity. The results of the simulation are three-dimensionally reconstructed. A valuable tool for getting insight into the biology of tumour growth and response to radiotherapy and at the same time an advanced patient specific decision support system is expected to emerge after the completion of the necessary extensive clinical evaluation.

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Year:  2004        PMID: 15275995     DOI: 10.1016/j.jtbi.2004.03.024

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  36 in total

1.  Monte Carlo radiotherapy simulations of accelerated repopulation and reoxygenation for hypoxic head and neck cancer.

Authors:  W M Harriss-Phillips; E Bezak; E K Yeoh
Journal:  Br J Radiol       Date:  2011-10       Impact factor: 3.039

2.  Optimal solution for a cancer radiotherapy problem.

Authors:  A Bertuzzi; C Bruni; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2013-01       Impact factor: 2.259

3.  A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables.

Authors:  Mireia Crispin-Ortuzar; Jeho Jeong; Andrew N Fontanella; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

Review 4.  Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

Authors:  Maria Protopapa; Anna Zygogianni; Georgios S Stamatakos; Christos Antypas; Christina Armpilia; Nikolaos K Uzunoglu; Vassilis Kouloulias
Journal:  J Neurooncol       Date:  2017-10-28       Impact factor: 4.130

Review 5.  Linear quadratic and tumour control probability modelling in external beam radiotherapy.

Authors:  S F C O'Rourke; H McAneney; T Hillen
Journal:  J Math Biol       Date:  2008-09-30       Impact factor: 2.259

Review 6.  In silico cancer modeling: is it ready for prime time?

Authors:  Thomas S Deisboeck; Le Zhang; Jeongah Yoon; Jose Costa
Journal:  Nat Clin Pract Oncol       Date:  2008-10-14

Review 7.  An imaging-based tumour growth and treatment response model: investigating the effect of tumour oxygenation on radiation therapy response.

Authors:  Benjamin Titz; Robert Jeraj
Journal:  Phys Med Biol       Date:  2008-08-01       Impact factor: 3.609

8.  Critical parameters determining standard radiotherapy treatment outcome for glioblastoma multiforme: a computer simulation.

Authors:  D D Dionysiou; G S Stamatakos; D Gintides; N Uzunoglu; K Kyriaki
Journal:  Open Biomed Eng J       Date:  2008-09-10

9.  Applying a 4D multiscale in vivo tumor growth model to the exploration of radiotherapy scheduling: the effects of weekend treatment gaps and p53 gene status on the response of fast growing solid tumors.

Authors:  Dimitra D Dionysiou; Georgios S Stamatakos
Journal:  Cancer Inform       Date:  2007-02-16

10.  Introduction of hypermatrix and operator notation into a discrete mathematics simulation model of malignant tumour response to therapeutic schemes in vivo. Some operator properties.

Authors:  Georgios S Stamatakos; Dimitra D Dionysiou
Journal:  Cancer Inform       Date:  2009-10-21
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