Literature DB >> 15916755

A computer simulation of in vivo tumour growth and response to radiotherapy: new algorithms and parametric results.

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

Abstract

The aim of this paper is to present the newest algorithms and simulation results of a computer model of in vivo tumour growth and response to radiotherapy. The new algorithms are analytically presented. A set of parametric simulations has been performed with special emphasis on the influence of the genetic profile of a tumour on its radiosensitivity. The results of the simulation procedure are three-dimensionally visualized and critically surveyed. The long-term goal of this work is twofold: the development of a computational tool for getting insight into cancer biology and the development of a patient-specific decision support system.

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Year:  2006        PMID： 15916755     DOI： 10.1016/j.compbiomed.2005.02.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN： 0010-4825            Impact factor:   4.589


  9 in total

1.  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 2.  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

3.  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

4.  Altered fractionation outcomes for hypoxic head and neck cancer using the HYP-RT Monte Carlo model.

Authors:  W M Harriss-Phillips; E Bezak; E K Yeoh
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

5.  Update on clinical radiobiology.

Authors:  N Chawapun
Journal:  Biomed Imaging Interv J       Date:  2006-01-01

6.  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

7.  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

Review 8.  In silico modelling of tumour margin diffusion and infiltration: review of current status.

Authors:  Fatemeh Leyla Moghaddasi; Eva Bezak; Loredana Marcu
Journal:  Comput Math Methods Med       Date:  2012-07-11       Impact factor: 2.238

9.  Studying the regression profiles of cervical tumours during radiotherapy treatment using a patient-specific multiscale model.

Authors:  Christos A Kyroudis; Dimitra D Dionysiou; Eleni A Kolokotroni; Georgios S Stamatakos
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379
  9 in total

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