2022
DOI: 10.1016/j.radonc.2022.09.011
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An online adaptive plan library approach for intensity modulated proton therapy for head and neck cancer

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Cited by 21 publications
(10 citation statements)
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“…For image-guidance, also here MR would be preferable, and developments on integration of MR are on-going ( 30 ). There is also work on going on fast and accurate plan adaptation in proton therapy, ( 31 ).…”
Section: Discussionmentioning
confidence: 99%
“…For image-guidance, also here MR would be preferable, and developments on integration of MR are on-going ( 30 ). There is also work on going on fast and accurate plan adaptation in proton therapy, ( 31 ).…”
Section: Discussionmentioning
confidence: 99%
“…This is particularly relevant for intensity modulated proton therapy (IMPT), where the delivered dose is substantially more sensitive to these variations. For head-and-neck (H&N) cancer patients, the large setup robustness settings required to achieve the desired target coverage in the absence of online plan adaptations can result in significantly increased toxicity risks (van de Water et al 2016, Oud et al 2022). Therefore, there have been continuous efforts to investigate the potential and feasibility of various online adaptation strategies.…”
Section: Introductionmentioning
confidence: 99%
“…(4) Plan library strategies do not adapt the original plans. Instead, a pre-treatment generated library of plans is employed with daily selection of the library plan that best fits the geometry-of-the-day (Oud et al 2022).…”
Section: Introductionmentioning
confidence: 99%
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“…Several approaches to deviate from the Conventional single-plan convention have been proposed, with adaptive radiotherapy (ART) the most developed. The intention of ART is generally to adapt in each fraction the pre-treatment plan to the anatomy of the day or to compensate for problems in previous fractions (Sharfo et al 2016, Jagt et al 2018, 2019, Werensteijn-Honingh et al 2019, Sibolt et al 2021, Byrne et al 2022, Hoegen et al 2022, Kensen et al 2022, Mulder et al 2022, Oud et al 2022, Schiff et al 2022.…”
Section: Introductionmentioning
confidence: 99%