Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/91152
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Type: Journal article
Title: Hypoxia in head and neck cancer in theory and practice: a PET-based imaging approach
Author: Marcu, L.
Harriss-Phillips, W.
Filip, S.
Citation: Computational and Mathematical Methods in Medicine, 2014; 2014:624642-1-624642-13
Publisher: Hindawi Publishing Corporation
Issue Date: 2014
ISSN: 1748-670X
1748-6718
Statement of
Responsibility: 
Loredana G. Marcu, Wendy M. Harriss-Phillips and Sanda M. Filip
Abstract: Hypoxia plays an important role in tumour recurrence among head and neck cancer patients. The identification and quantification of hypoxic regions are therefore an essential aspect of disease management. Several predictive assays for tumour oxygenation status have been developed in the past with varying degrees of success. To date, functional imaging techniques employing positron emission tomography (PET) have been shown to be an important tool for both pretreatment assessment and tumour response evaluation during therapy. Hypoxia-specific PET markers have been implemented in several clinics to quantify hypoxic tumour subvolumes for dose painting and personalized treatment planning and delivery. Several new radiotracers are under investigation. PET-derived functional parameters and tracer pharmacokinetics serve as valuable input data for computational models aiming at simulating or interpreting PET acquired data, for the purposes of input into treatment planning or radio/chemotherapy response prediction programs. The present paper aims to cover the current status of hypoxia imaging in head and neck cancer together with the justification for the need and the role of computer models based on PET parameters in understanding patient-specific tumour behaviour.
Keywords: Head and Neck Neoplasms
Neoplasm Recurrence, Local
Anoxia
Radiopharmaceuticals
Positron-Emission Tomography
Models, Theoretical
Rights: © 2014 Loredana G. Marcu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1155/2014/624642
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Physics publications

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