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Mathematical modelling of tumor control in the context of radiation therapy with deliberate heterogeneous dose distributions


Radonic, Stephan. Mathematical modelling of tumor control in the context of radiation therapy with deliberate heterogeneous dose distributions. 2023, University of Zurich, Faculty of Science.

Abstract

Contents
Acknowledgements 3
Preamble 5
1 Background & Motivation
2 Summary & Conclusions
Publications
I A novel analytical population TCP model includes cell density and volume variations: application to canine brain tumor
II A concept for anisotropic PTV margins including rotational setup uncertainties and its impact on the tumor control probability in canine brain tumors
III Risk adaptive planning with biology-based constraints leads to higher tumor control probability in tumors of the canine brain: a planning study
IV Mathematical modelling of the distribution of tumor size in patient populations

Abstract

Contents
Acknowledgements 3
Preamble 5
1 Background & Motivation
2 Summary & Conclusions
Publications
I A novel analytical population TCP model includes cell density and volume variations: application to canine brain tumor
II A concept for anisotropic PTV margins including rotational setup uncertainties and its impact on the tumor control probability in canine brain tumors
III Risk adaptive planning with biology-based constraints leads to higher tumor control probability in tumors of the canine brain: a planning study
IV Mathematical modelling of the distribution of tumor size in patient populations

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Additional indexing

Item Type:Dissertation (monographical)
Referees:Schneider Uwe, Rohrer Bley Carla, Unkelbach Jan, Aegerter Christof, Lomax Anthony J
Communities & Collections:07 Faculty of Science > Physics Institute
UZH Dissertations
Dewey Decimal Classification:530 Physics
Language:English
Date:2023
Deposited On:24 Aug 2023 10:02
Last Modified:24 Aug 2023 10:02
Number of Pages:129
OA Status:Closed
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