Head and neck cancers (HNC) often receive radiotherapy as part of their treatment. However, unacceptable failure rates and severe side effects remain a challenge. The improvements in radiotherapy are closely related to improvements in medical imaging. Functional imaging, where intratumoural characteristics such as tumour oxygenation, metabolism, and blood vessel function can be quantified, offers possibilities to personalize the radiotherapy. In this study we will establish the clinical workflow for PET- and MRI-based radiotherapy in HNC by acquiring images prior to and during radiotherapy to develop new concepts for image-based biologically adaptive radiotherapy, both based on photon-based radiotherapy and also proton therapy, which soon will be available for cancer patients in Norway. The investigators aim to contribute towards further developments of personalised high-precision radiotherapy for HNC patients resulting in improved outcome, reduced side-effects and better quality of life.
Study Type
OBSERVATIONAL
Enrollment
390
Performed at baseline, interim and at 12-16 weeks post radiotherapy.
University Hospital of North Norway
Tromsø, Norway
NOT_YET_RECRUITINGSt Olavs Hospital, Department of Oncology
Trondheim, Norway
RECRUITINGPopulation 1: Predict overall survival five years after treatment
For study population one, the primary study objective is to explore the potential of functional MR imaging parameters in predicting overall survival in head and neck cancer (HNC) five years after treatment.
Time frame: Five years after treatment
Population 2: Response three months after treatment
For study population two, the primary objective is response three months after treatment.
Time frame: Three months after treatment
Populations 1 and 2: Time to local relapse and time to distant metastasis
Time frame: Five years after treatment
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.