University of Groningen
Automation and individualization of radiotherapy treatment planning in head and neck cancer
patients
Kierkels, Roel Godefridus Josefina
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Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Kierkels, R. G. J. (2019). Automation and individualization of radiotherapy treatment planning in head and
neck cancer patients. Rijksuniversiteit Groningen.
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Automation and
individualization of radiotherapy
treatment planning in head and
neck cancer
ISBN (Ebook)
978-94-034-1358-7
Cover and Lay-Out
© evelienjagtman.com
Ipskamp Printing, Enschede, the Netherlands
Copyright © Roel G.J. Kierkels, Groningen, 2019
All rights reserved. No part of this thesis may be reproduced, stored or transmitted in any way or by any means without the prior permission of the author, or when applicable, of the publishers of the scientific papers.
Support
Publication of this thesis was financially supported by: - RaySearch Laboratories AB (publ)
- Elekta AB (publ) - Orfit Industries NV
- Mirada Medical Ltd. Oxford, UK - University Medical Center Groningen - Graduate School of Medical Sciences - IBA, Ion Beam Applications SA
Automation and
individualization of radiotherapy
treatment planning in head and
neck cancer
Proefschriftter verkrijging van de graad van doctor aan de Rijksuniversiteit Groningen
op gezag van de
rector magnificus prof. dr. E. Sterken en volgens besluit van het College voor Promoties.
De openbare verdediging zal plaatsvinden op woensdag 6 februari 2019 om 12.45 uur
door
Roel Godefridus Josefina Kierkels
geboren op 14 oktober 1982 te Herten
Promotor
Prof. dr. J.A. Langendijk
Copromotores
Dr. ir. E.W. Korevaar Dr. ir. N.M. Sijtsema
Beoordelingscommissie
Prof. dr. S. Brandenburg Prof. dr. ir. J.J. Sonke Prof. dr. M.S. Hoogeman
Content
Chapter 1 General introduction, aim and outline of this thesis. 7 Chapter 2 Multicriteria optimization enables less experienced planners to
efficiently produce high quality treatment plans in head and neck cancer radiotherapy.
27
Chapter 3 Direct use of multivariable normal tissue complication probability models in treatment plan optimization for individualized head and neck cancer radiotherapy produces clinically acceptable treatment plans.
43
Chapter 4 Multivariable normal tissue complication probability model-based treatment plan optimization for grade 2-4 dysphagia and tube feeding dependence in head and neck radiotherapy.
63
Chapter 5 Automated robust proton planning using dose-volume histogram based mimicking of the photon reference dose and reducing organ at risk dose optimization.
81
Chapter 6 An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images.
97
Chapter 7 Minimax robust optimization of VMAT improves target coverage and reduces non-target dose in head and neck cancer patients.
117
Chapter 8 Summarizing discussion and future perspectives. 135 Chapter 9 Summary in Dutch / Samenvatting in het Nederlands 153 Appendix List of abbreviations
Acknowledgements in Dutch / Dankwoord Resume / Curriculum vitae
List of publications
165 171 179 183
