Visualization and quantification of tumour biology for personalized radiotherapy

Aniek Johanna Geertruida Even

Research output: ThesisDoctoral ThesisExternal prepared

749 Downloads (Pure)

Abstract

There are many types of cancer and there are significant differences between patients, between tumours, and even within a single tumour. These differences make cancer a difficult disease to cure and tend to result in different treatment outcomes. Functional imaging is a minimally invasive method of examining tumour biology in 3D. This dissertation used functional imaging techniques to classify the tumour and examine tumour sub-volumes. The absorption of a labelled drug, tumour circulation, tumour metabolism and tumour oxygen deficiency were measured and tested as markers to determine patient prognoses, to predict the treatment outcome and to adjust radiotherapy treatment plans.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Lambin, Philippe, Supervisor
  • van Elmpt, W., Co-Supervisor, External person
Award date20 Dec 2017
Place of PublicationMaastricht
Publisher
Print ISBNs9789402808575
DOIs
Publication statusPublished - 2017

Keywords

  • tumour biology
  • non-invasive imaging

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