Rapid implementation of the repair-misrepair-fixation (RMF) model facilitating online adaption of radiosensitivity parameters in ion therapy
Introduction: Treatment planning for ion therapy must account for physical properties of the beam as well as differences in the relative biological effectiveness (RBE) of ions compared to photons. In this work, we present a fast RBE calculation approach, based on the decoupling of physical propertie...
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Published in | Physics in medicine & biology Vol. 62; no. 13; pp. N285 - N296 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
07.07.2017
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Subjects | |
Online Access | Get full text |
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Summary: | Introduction: Treatment planning for ion therapy must account for physical properties of the beam as well as differences in the relative biological effectiveness (RBE) of ions compared to photons. In this work, we present a fast RBE calculation approach, based on the decoupling of physical properties and the αx/βx ratio commonly used to describe the radiosensitivity of irradiated cells or organs. Material and methods: In the framework of the mechanistic repair-misrepair-fixation (RMF) model, the biological modeling can be decoupled from the physical dose. This was implemented into a research treatment planning system for carbon ion therapy. Results: The presented implementation of the RMF model is very fast, allowing online changes of αx/βx. For example, a change of αx/βx including a complete biological modeling and a recalculation of RBE for 2.9⋅105 voxel takes 4 ms on a 4 CPU, 3.2 GHz workstation. Discussion and conclusion: The derived decoupling within the RMF model allows fast changes in αx/βx, facilitating online adaption by the user. This provides new options for radiation oncologists, facilitating online variations of the radiobiological input parameters during the treatment plan evaluation process as well as uncertainty and sensitivity analyses. |
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Bibliography: | Institute of Physics and Engineering in Medicine PMB-104510.R3 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0031-9155 1361-6560 |
DOI: | 10.1088/1361-6560/aa716b |