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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2021 . Peer-reviewed
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Adaptive Proton Therapy in Head and Neck Cancer

Authors: Nagarjuna Burela;

Adaptive Proton Therapy in Head and Neck Cancer

Abstract

Anatomic and dosimetric changes occur in head and neck cancer during fractionated proton radiotherapy, and the actual dose received by patient is considerably different from original plan. Adaptive radiotherapy aims to modify treatment according to changes that occur during proton therapy. Intensity modulated proton therapy for head and neck cancer (HNC) patients benefitted by adaptation to correct the dose perturbations caused by weight loss, tumor volume changes, setup and range uncertainties. The following sections have elaborated the rationale of adaptation in HNC, proton physics in HNC, studies comparing non-adaptive and adaptive intensity modulated proton therapy (IMPT) plans, reasons for adaptation and how to mitigate these changes.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
Related to Research communities
Cancer Research