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Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer

Head and neck cancer represents a challenge for radiation oncologists due to accelerated repopulation of cancer cells during treatment. This study aims to simulate, using Monte Carlo methods, the response of a virtual head and neck tumor to both conventional and altered fractionation schedules in ra...

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Detalles Bibliográficos
Autores principales: Marcu, Loredana G., Bezak, Eva
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2807142/
https://www.ncbi.nlm.nih.gov/pubmed/20098550
http://dx.doi.org/10.4103/0971-6203.56081
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author Marcu, Loredana G.
Bezak, Eva
author_facet Marcu, Loredana G.
Bezak, Eva
author_sort Marcu, Loredana G.
collection PubMed
description Head and neck cancer represents a challenge for radiation oncologists due to accelerated repopulation of cancer cells during treatment. This study aims to simulate, using Monte Carlo methods, the response of a virtual head and neck tumor to both conventional and altered fractionation schedules in radiotherapy when accelerated repopulation is considered. Although clinical trials are indispensable for evaluation of novel therapeutic techniques, they are time-consuming processes which involve many complex and variable factors for success. Models can overcome some of the limitations encountered by trials as they are able to simulate in less complex environment tumor cell kinetics and dynamics, interaction processes between cells and ionizing radiation and their outcome. Conventional, hyperfractionated and accelerated treatment schedules have been implemented in a previously developed tumor growth model which also incorporates tumor repopulation during treatment. This study focuses on the influence of three main treatment-related parameters, dose per fraction, inter fraction interval and length of treatment gap and gap timing based on RTOG trial data on head and neck cancer, on tumor control. The model has shown that conventionally fractionated radiotherapy is not able to eradicate the stem population of the tumor. Therefore, new techniques such as hyperfractionated/ accelerated radiotherapy schedules should be employed. Furthermore, the correct selection of schedule-related parameters (dose per fraction, time between fractions, treatment gap scheduling) is crucial in overcoming accelerated repopulation. Modeling of treatment regimens and their input parameters can offer better understanding of the radiobiological interactions and also treatment outcome.
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spelling pubmed-28071422010-01-22 Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer Marcu, Loredana G. Bezak, Eva J Med Phys Original Article Head and neck cancer represents a challenge for radiation oncologists due to accelerated repopulation of cancer cells during treatment. This study aims to simulate, using Monte Carlo methods, the response of a virtual head and neck tumor to both conventional and altered fractionation schedules in radiotherapy when accelerated repopulation is considered. Although clinical trials are indispensable for evaluation of novel therapeutic techniques, they are time-consuming processes which involve many complex and variable factors for success. Models can overcome some of the limitations encountered by trials as they are able to simulate in less complex environment tumor cell kinetics and dynamics, interaction processes between cells and ionizing radiation and their outcome. Conventional, hyperfractionated and accelerated treatment schedules have been implemented in a previously developed tumor growth model which also incorporates tumor repopulation during treatment. This study focuses on the influence of three main treatment-related parameters, dose per fraction, inter fraction interval and length of treatment gap and gap timing based on RTOG trial data on head and neck cancer, on tumor control. The model has shown that conventionally fractionated radiotherapy is not able to eradicate the stem population of the tumor. Therefore, new techniques such as hyperfractionated/ accelerated radiotherapy schedules should be employed. Furthermore, the correct selection of schedule-related parameters (dose per fraction, time between fractions, treatment gap scheduling) is crucial in overcoming accelerated repopulation. Modeling of treatment regimens and their input parameters can offer better understanding of the radiobiological interactions and also treatment outcome. Medknow Publications 2009 /pmc/articles/PMC2807142/ /pubmed/20098550 http://dx.doi.org/10.4103/0971-6203.56081 Text en © Journal of Medical Physics http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Marcu, Loredana G.
Bezak, Eva
Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title_full Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title_fullStr Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title_full_unstemmed Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title_short Radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
title_sort radiobiological modeling of interplay between accelerated repopulation and altered fractionation schedules in head and neck cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2807142/
https://www.ncbi.nlm.nih.gov/pubmed/20098550
http://dx.doi.org/10.4103/0971-6203.56081
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