Literature DB >> 1320297

Computer simulation and modelling of tumor spheroid growth and their relevance for optimization of fractionated radiotherapy.

W Düchting1, W Ulmer, R Lehrig, T Ginsberg, E Dedeleit.   

Abstract

As previous papers show, our group developed computer models simulating spatial (3D) tumor growth of an in vitro tumor spheroid. These models were extended by implementing irradiation models based on the linear-quadratic survival function in order to simulate and optimize radiation therapy schemes. The key idea in this study is to simulate different fractionation schemes (standard-, super-, hyperfractionation, irradiation with a weekly high dose) and to compare the model results with regard to their tumor effectiveness. After introducing simplified model assumptions the following treatment plans, as a result, represent an optimal scheduling: 1. the hyperfractionation (3 x 1...1.5 Gy per day) in the case of rapidly growing tumors; 2. the hyperfractionation (3 x 1...1.5 Gy per day) for moderately fast growing tumors; and 3. the treatment with a weekly high single dose (1 x 6 Gy per week) in the case of slowly growing tumors. The transfer of the results gained by simulating in vitro-experiments to clinical tumors are discussed. Single observations in clinical practice concerning the therapeutical benefit indicate a rather good agreement with the simulation results. Thereby, the possibility is given to comprehend in vitro tumor growth and clinical therapy schemes in a model and to successfully simulate optimal treatment schedules by computer experiments. This method enables a reduction of time-consuming studies prior to clinical therapy.

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Year:  1992        PMID: 1320297

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  11 in total

1.  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

Review 2.  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

3.  [Medicine and technique: computer simulations in cancer research].

Authors:  W Düchting
Journal:  Med Klin (Munich)       Date:  1998-09-15

4.  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

5.  Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size.

Authors:  C Bruni; F Conte; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2014-08-29       Impact factor: 2.259

6.  Exploiting clinical trial data drastically narrows the window of possible solutions to the problem of clinical adaptation of a multiscale cancer model.

Authors:  Georgios S Stamatakos; Eleni C Georgiadi; Norbert Graf; Eleni A Kolokotroni; Dimitra D Dionysiou
Journal:  PLoS One       Date:  2011-03-03       Impact factor: 3.240

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 Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case.

Authors:  Jacopo Falco; Abramo Agosti; Ignazio G Vetrano; Alberto Bizzi; Francesco Restelli; Morgan Broggi; Marco Schiariti; Francesco DiMeco; Paolo Ferroli; Pasquale Ciarletta; Francesco Acerbi
Journal:  J Clin Med       Date:  2021-05-17       Impact factor: 4.241

9.  Dealing with diversity in computational cancer modeling.

Authors:  David Johnson; Steve McKeever; Georgios Stamatakos; Dimitra Dionysiou; Norbert Graf; Vangelis Sakkalis; Konstantinos Marias; Zhihui Wang; Thomas S Deisboeck
Journal:  Cancer Inform       Date:  2013-05-07

Review 10.  In silico modelling of treatment-induced tumour cell kill: developments and advances.

Authors:  Loredana G Marcu; Wendy M Harriss-Phillips
Journal:  Comput Math Methods Med       Date:  2012-07-12       Impact factor: 2.238

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