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

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

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 appli...

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Bibliographic Details
Published in:Journal of theoretical biology Vol. 230; no. 1; pp. 1 - 20
Main Authors: Dionysiou, Dimitra D., Stamatakos, Georgios S., Uzunoglu, Nikolaos K., Nikita, Konstantina S., Marioli, Antigoni
Format: Journal Article
Language:English
Published: England Elsevier Ltd 07-09-2004
Subjects:
Brain Neoplasms - pathology
Brain Neoplasms - radiotherapy
Cancer
Cell Division
Computer Simulation
Glioblastoma - pathology
Glioblastoma - radiotherapy
Humans
Modelling
Models, Biological
Models, Statistical
Neoplasms - pathology
Neoplasms - radiotherapy
Radiation Tolerance
Radiotherapy
Radiotherapy Planning, Computer-Assisted
Tumour
Modelling
Tumour
Computer simulation
Radiotherapy
Cancer
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Summary: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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ISSN:0022-5193
1095-8541
DOI:10.1016/j.jtbi.2004.03.024