Literature DB >> 15152687

A spatio-temporal simulation model of the response of solid tumours to radiotherapy in vivo: parametric validation concerning oxygen enhancement ratio and cell cycle duration.

Vassilis P Antipas1, Georgios S Stamatakos, Nikolaos K Uzunoglu, Dimitra D Dionysiou, Roger G Dale.   

Abstract

Advanced bio-simulation methods are expected to substantially improve radiotherapy treatment planning. To this end a novel spatio-temporal patient-specific simulation model of the in vivo response of malignant tumours to radiotherapy schemes has been recently developed by our group. This paper discusses recent improvements to the model: an optimized algorithm leading to conformal shrinkage of the tumour as a response to radiotherapy, the introduction of the oxygen enhancement ratio (OER), a realistic initial cell phase distribution and finally an advanced imaging-based algorithm simulating the neovascularization field. A parametric study of the influence of the cell cycle duration Tc, OER, OERbeta for the beta LQ parameter on tumour growth. shrinkage and response to irradiation under two different fractionation schemes has been made. The model has been applied to two glioblastoma multiforme (GBM) cases, one with wild type (wt) and another one with mutated (mt) p53 gene. Furthermore, the model has been applied to a hypothetical GBM tumour with alpha and beta values corresponding to those of generic radiosensitive tumours. According to the model predictions, a whole tumour with shorter Tc tends to repopulate faster, as is to be expected. Furthermore, a higher OER value for the dormant cells leads to a more radioresistant whole tumour. A small variation of the OERbeta value does not seem to play a major role in the tumour response. Accelerated fractionation proved to be superior to the standard scheme for the whole range of the OER values considered. Finally, the tumour with mt p53 was shown to be more radioresistant compared to the tumour with wt p53. Although all simulation predictions agree at least qualitatively with the clinical experience and literature, a long-term clinical adaptation and quantitative validation procedure is in progress.

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Year:  2004        PMID: 15152687     DOI: 10.1088/0031-9155/49/8/008

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 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.  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 3.  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 4.  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

5.  Evaluation of current clinical target volume definitions for glioblastoma using cell-based dosimetry stochastic methods.

Authors:  L Moghaddasi; E Bezak; W Harriss-Phillips
Journal:  Br J Radiol       Date:  2015-07-03       Impact factor: 3.039

6.  Theoretical analysis of the dose dependence of the oxygen enhancement ratio and its relevance for clinical applications.

Authors:  Tatiana Wenzl; Jan J Wilkens
Journal:  Radiat Oncol       Date:  2011-12-15       Impact factor: 3.481

Review 7.  Near Infrared Fluorescence Imaging in Nano-Therapeutics and Photo-Thermal Evaluation.

Authors:  Mukti Vats; Sumit Kumar Mishra; Mahdieh Shojaei Baghini; Deepak S Chauhan; Rohit Srivastava; Abhijit De
Journal:  Int J Mol Sci       Date:  2017-04-28       Impact factor: 5.923

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

Review 9.  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

Review 10.  Optimal treatment and stochastic modeling of heterogeneous tumors.

Authors:  Hamidreza Badri; Kevin Leder
Journal:  Biol Direct       Date:  2016-08-23       Impact factor: 4.540

  10 in total

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