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Adaptive radiotherapy: The Elekta Unity MR-linac concept

Open access
Winkel, Dennis, Bol, Gijsbert H., Kroon, Petra S., van Asselen, Bram, Hackett, Sara S., Werensteijn-Honingh, Anita M., Intven, Martijn P.W., Eppinga, Wietse S.C., Tijssen, Rob H.N., Kerkmeijer, Linda G.W., de Boer, Hans C.J., Mook, Stella, Meijer, Gert J., Hes, Jochem, Willemsen-Bosman, Mirjam, de Groot-van Breugel, Eline N., Jürgenliemk-Schulz, Ina M., Raaymakers, Bas W.·2019·Clinical and Translational Radiation Oncology

Abstract

BACKGROUND AND PURPOSE: The promise of the MR-linac is that one can visualize all anatomical changes during the course of radiotherapy and hence adapt the treatment plan in order to always have the optimal treatment. Yet, there is a trade-off to be made between the time spent for adapting the treatment plan against the dosimetric gain. In this work, the various daily plan adaptation methods will be presented and applied on a variety of tumour sites. The aim is to provide an insight in the behavior of the state-of-the-art 1.5 T MRI guided on-line adaptive radiotherapy methods. MATERIALS AND METHODS: To explore the different available plan adaptation workflows and methods, we have simulated online plan adaptation for five cases with varying levels of inter-fraction motion, regions of interest and target sizes: prostate, rectum, esophagus and lymph node oligometastases (single and multiple target). The plans were evaluated based on the clinical dose constraints and the optimization time was measured. RESULTS: The time needed for plan adaptation ranged between 17 and 485 s. More advanced plan adaptation methods generally resulted in more plans that met the clinical dose criteria. Violations were often caused by insufficient PTV coverage or, for the multiple lymph node case, a too high dose to OAR in the vicinity of the PTV. With full online replanning it was possible to create plans that met all clinical dose constraints for all cases. CONCLUSION: Daily full online replanning is the most robust adaptive planning method for Unity. It is feasible for specific sites in clinically acceptable times. Faster methods are available, but before applying these, the specific use cases should be explored dosimetrically.

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Metadata

Authors
Winkel, D., Bol, G. H., Kroon, P. S., van Asselen, B., Hackett, S. S., Werensteijn-Honingh, A. M., Intven, M. P. W., Eppinga, W. S. C., Tijssen, R. H. N., Kerkmeijer, L. G. W., de Boer, H. C. J., Mook, S., Meijer, G. J., Hes, J., Willemsen-Bosman, M., de Groot-van Breugel, E. N., Jürgenliemk-Schulz, I. M., & Raaymakers, B. W.
Venue
Clinical and Translational Radiation Oncology
Publisher
Elsevier BV
Published
2019-09
Volume
18
Pages
54-59
ISSN
2405-6308 (ISSN-L)
OpenAlex
W2930910485
Cited by
572
References
5
FWCI
57.64
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Adaptive radiotherapy: The Elekta Unity MR-linac concept. https://app.cochat.ai/papers/10.1016/j.ctro.2019.04.001
The paper
Winkel, D., Bol, G. H., Kroon, P. S., van Asselen, B., Hackett, S. S., Werensteijn-Honingh, A. M., Intven, M. P. W., Eppinga, W. S. C., Tijssen, R. H. N., Kerkmeijer, L. G. W., de Boer, H. C. J., Mook, S., Meijer, G. J., Hes, J., Willemsen-Bosman, M., de Groot-van Breugel, E. N., Jürgenliemk-Schulz, I. M., & Raaymakers, B. W. (2019). Adaptive radiotherapy: The Elekta Unity MR-linac concept. Clinical and Translational Radiation Oncology. https://doi.org/10.1016/j.ctro.2019.04.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.