Visualization and quantification of tumour biology for personalized radiotherapy

220 Pages·2017·6.17 MB·English

Visualization and quantification of tumour biology
for personalized radiotherapy
Aniek Even
Cover
The cover image shows a supervoxel representation of a lung cancer patient. The coloured
hexagons symbolize different ways (different imaging modalities) of looking at the same un-
derlying structure.
Production
Typesetting: This thesis was created using LAT X
E
Printing: Ipskamp Printing BV, Enschede
ISBN: 978-94-028-0857-5
Copyrights
© Copyright A.J.G. Even, Maastricht 2017
No parts of this publication may be reproduced in any form without prior written permission of
the holder of the copyrights.
Visualization and quantification of tumour biology
for personalized radiotherapy
Proefschrift
ter verkrijging van de graad van doctor aan de Universiteit Maastricht,
op gezag van de Rector Magnificus Prof. dr. Rianne M. Letschert,
volgens het besluit van het College van Decanen,
in openbaar te verdedigen
op woensdag 20 december 2017 om 16:00 uur
door
Aniek Johanna Geertruida Even
Promotor
Prof. dr. P. Lambin
Co-promotor
Dr. ir. W. van Elmpt
Beoordelingscommissie
Prof. dr. F.C.S. Ramaekers (voorzitter)
Prof. dr. ir. A.L.A.J. Dekker
Prof. dr. U.A. van der Heide (Leids Universitair Medisch Centrum; Nederlands Kanker Instituut)
Prof. dr. D. Thorwarth (Eberhard Karls University, Tübingen, Duitsland)
Prof. dr. ir. F.J.W. Verhaegen
Contents
.
Introduction 9
Chapter 1 Introduction and outline 11
Non-invasive imaging of drug uptake 27
Chapter 2 PET imaging of Zirconium-89 labelled cetuximab: a phase I trial in
patients with head and neck and lung cancer 29
Chapter 3 Quantitative assessment of Zirconium-89 labelled cetuximab using
PET/CT imaging in patients with advanced head and neck cancer: a
theragnostic approach 51
Hypoxia and DCE-CT imaging for outcome prediction and treatment
adaptation 73
Chapter 4 Prognostic and predictive value of hypoxia HX4 PET and DCE-CT
imaging in non-small cell lung cancer: results of a prospective
window-of-opportunity clinical trial with nitroglycerin 75
Chapter 5 PET-based dose painting in non-small cell lung cancer: comparing
uniform dose escalation with boosting hypoxic and metabolically
active subvolumes 99
Combining multiparametric imaging characteristics 121
Chapter 6 Predicting tumour hypoxia in non-small cell lung cancer by combin-
ing CT, FDG PET and dynamic contrast-enhanced CT 123
Chapter 7 Clustering of multiparametric functional imaging to identify high-
risk subvolumes in non-small cell lung cancer 141
Discussion 159
Chapter 8 The promise of multiparametric imaging in oncology: how do we
move forward? 161
Chapter 9 General discussion and future perspectives 171
Appendices 188
List of abbreviations 189
Summary 193
Samenvatting (Dutch summary) 199
Valorization addendum 205
Acknowledgments (Dankwoord) 209
Curriculum vitae 215
Introduction