Comparison of safety margin generation concepts in image guided radiotherapy to account for daily head and neck pose variations

• Verfasst von: Stoll, Markus [VerfasserIn]
• Verfasst von: Debus, Jürgen [VerfasserIn]
• Titel: Comparison of safety margin generation concepts in image guided radiotherapy to account for daily head and neck pose variations
• Verf.angabe: Markus Stoll, Eva Maria Stoiber, Sarah Grimm, Jürgen Debus, Rolf Bendl, Kristina Giske
• Fussnoten: Gesehen am 05.09.2017
• Titel Quelle: Enthalten in: Public Library of Science: PLoS one
• Jahr Quelle: 2016
• Band/Heft Quelle: 11(2016,12) Artikel-Nummer e0168916, 18 Seiten
• ISSN Quelle: 1932-6203
• DOI: doi:10.1371/journal.pone.0168916
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1563201763

Abstract

Purpose Intensity modulated radiation therapy (IMRT) of head and neck tumors allows a precise conformation of the high-dose region to clinical target volumes (CTVs) while respecting dose limits to organs a risk (OARs). Accurate patient setup reduces translational and rotational deviations between therapy planning and therapy delivery days. However, uncertainties in the shape of the CTV and OARs due to e.g. small pose variations in the highly deformable anatomy of the head and neck region can still compromise the dose conformation. Routinely applied safety margins around the CTV cause higher dose deposition in adjacent healthy tissue and should be kept as small as possible. Materials and Methods In this work we evaluate and compare three approaches for margin generation 1) a clinically used approach with a constant isotropic 3 mm margin, 2) a previously proposed approach adopting a spatial model of the patient and 3) a newly developed approach adopting a biomechanical model ofthe patient. All approaches are retrospectively evaluated using a large patient cohort of over 500 fraction control CT images with heterogeneous pose changes. Automatic methods for finding landmark positions in the control CT images are combined with a patient specific biomechanical finite element model to evaluate the CTV deformation. Results The applied methods for deformation modeling show that the pose changes cause deformations in the target region with a mean motion magnitude of 1.80 mm. We found that the CTV size can be reduced by both variable margin approaches by 15.6% and 13.3% respectively, while maintaining the CTV coverage. With approach 3 an increase of target coverage was obtained. Conclusion Variable margins increase target coverage, reduce risk to OARs and improve healthy tissue sparing at the same time.