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Erschienen in: Japanese Journal of Radiology 2/2017

01.12.2016 | Review

Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges

verfasst von: Ovidiu Veresezan, Idriss Troussier, Alexis Lacout, Sarah Kreps, Sophie Maillard, Aude Toulemonde, Pierre-Yves Marcy, Florence Huguet, Juliette Thariat

Erschienen in: Japanese Journal of Radiology | Ausgabe 2/2017

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Abstract

Modern radiation therapy techniques are characterized by high conformality to tumor volumes and steep dose gradients to spare normal organs. These techniques require accurate clinical target volume definitions and rigorous assessment of set up uncertainties using image guidance, a concept called image-guided radiation therapy. Due to alteration of patient anatomy, changes in tissue density/volumes and tumor shrinkage over the course of treatment, treatment accuracy may be challenged. This may result in excessive irradiation of organs at risk/healthy tissues and undercoverage of target volumes with a significant risk of locoregional failure. Adaptive radiation therapy (ART) is a concept allowing the clinician to reconsider the planned dose based on potential changes to accurately delivering the remaining radiation dose to the tumor while optimally minimizing irradiation of healthy tissues. There is little consensus on how to apply this concept in clinical practice. The current review investigates the current ART issues, including patient selection, clinical/dosimetric criteria and timing for re-planning, and practical technical issues. A practical algorithm is proposed for patient management in cases where ART is required.
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Metadaten
Titel
Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges
verfasst von
Ovidiu Veresezan
Idriss Troussier
Alexis Lacout
Sarah Kreps
Sophie Maillard
Aude Toulemonde
Pierre-Yves Marcy
Florence Huguet
Juliette Thariat
Publikationsdatum
01.12.2016
Verlag
Springer Japan
Erschienen in
Japanese Journal of Radiology / Ausgabe 2/2017
Print ISSN: 1867-1071
Elektronische ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-016-0604-9

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