Growth modeling of a tumor treated by radiotherapy

In this thesis, we have proposed a Markov chain modeling of the cell and tumor behaviors during radiotherapy. Our approach is based on the target theory where it is assumed that the cell contains a number of sensitive sites called targets which must be all deactivated to produce the cell death. A ﰑrst task was to provide a discrete-time model taking cell repair between dose fractions and the heterogeneity of cellular damage into account. Then, we proposed a stochastic model of the cell lifespan. This model was also extended to a cell population and allowed to derive new expressions of the eﰓciency and complication probabilities of the treatment. Finally, we focused on the development of a model based on Markov chain in continuous time which could be applied to the responses of tumors treated by photodynamic therapy.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-01746268
Author Keinj, Roukaya
Maintainer CCSD
Last Updated May 27, 2026, 23:17 (UTC)
Created May 27, 2026, 23:17 (UTC)
Identifier NNT: 2011NAN10111
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Biology, genetics and statistics (BIGS) ; Institut Élie Cartan de Nancy (IECN) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-INRIA Lorraine ; Institut National de Recherche en Informatique et en Automatique (Inria)
creator Keinj, Roukaya
date 2011-12-02T00:00:00
harvest_object_id 2393ea8a-5575-4be2-b157-0b4c75af5eb8
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-16T00:00:00
set_spec type:THESE